1 00:00:00,160 --> 00:00:02,920 Speaker 1: We'd like to formally welcome you to the rest home 2 00:00:02,960 --> 00:00:07,880 Speaker 1: of old Joe. Welcome to Bidenville everyone, oh many one 3 00:00:07,880 --> 00:00:10,760 Speaker 1: were created by go you know that you know the 4 00:00:10,840 --> 00:00:13,520 Speaker 1: thing there's a man on the moon or whoever you 5 00:00:13,560 --> 00:00:17,040 Speaker 1: know something or you know whether those aliens are here 6 00:00:17,120 --> 00:00:21,599 Speaker 1: or not. I commuted for thirty six years as president 7 00:00:21,640 --> 00:00:23,880 Speaker 1: vice President United States. A lot of the folks and 8 00:00:24,079 --> 00:00:26,960 Speaker 1: Amtrak became my family. Not a joke that was in 9 00:00:27,080 --> 00:00:31,479 Speaker 1: the television of television. I was on the telephone, and 10 00:00:31,560 --> 00:00:33,440 Speaker 1: every time I hear hail of the chief under where 11 00:00:33,440 --> 00:00:35,279 Speaker 1: the hell is he? Do you think I'm joking? I'm 12 00:00:35,320 --> 00:00:38,360 Speaker 1: not turned around him? Where's where's the president? What? I 13 00:00:38,360 --> 00:00:41,960 Speaker 1: can't remember it? I was the foot put between the 14 00:00:42,080 --> 00:00:45,360 Speaker 1: foothills of the himlais with Shijing ping for Secretary of 15 00:00:45,440 --> 00:00:50,680 Speaker 1: Health and Educations or I nominated Javier Buccaria President Harris 16 00:00:51,040 --> 00:00:53,920 Speaker 1: is a proud Howard alone. That's Joe Brand and I agree. 17 00:00:54,120 --> 00:01:02,840 Speaker 1: I got them one point nine jillion dollars relief so far. Cluptocker, Yeah, 18 00:01:03,240 --> 00:01:08,720 Speaker 1: cryptocracy and the guys who are the cleptocracy. And now 19 00:01:09,080 --> 00:01:13,080 Speaker 1: to give you a tour of Bidenville before your extended stay, 20 00:01:13,400 --> 00:01:17,720 Speaker 1: here's John and Kent wonder the economy scratching. Listen to that. 21 00:01:18,520 --> 00:01:21,400 Speaker 1: It's the Johnny Ken Show. Calf I Am Shakes forty 22 00:01:21,480 --> 00:01:26,679 Speaker 1: live everywhere on the iHeartRadio app. Yeah. Remarkably, today the 23 00:01:26,760 --> 00:01:33,560 Speaker 1: inflation report came out and here's the rundown. Apparently, prices 24 00:01:33,680 --> 00:01:37,200 Speaker 1: rose eight point three percent from a year ago. They're 25 00:01:37,200 --> 00:01:41,160 Speaker 1: comparing August of twenty twenty two to twenty one. For 26 00:01:41,280 --> 00:01:47,080 Speaker 1: the month, prices rose point one percent from July to August. Now, 27 00:01:47,160 --> 00:01:52,840 Speaker 1: economists had predicted an eight point one percent increase and 28 00:01:52,960 --> 00:01:56,800 Speaker 1: a decline from month to month to point one percent. 29 00:01:57,320 --> 00:02:02,720 Speaker 1: That makes this a disaster once again, the experts don't 30 00:02:02,760 --> 00:02:04,760 Speaker 1: know what they're talking about. But you know what the 31 00:02:04,800 --> 00:02:08,720 Speaker 1: real world numbers are. Eggs, real world numbers. Eggs are 32 00:02:08,760 --> 00:02:12,560 Speaker 1: up almost forty percent in the last twelve months. Eggs, 33 00:02:13,240 --> 00:02:17,960 Speaker 1: canned fruits and then not a big canned fruit fan. 34 00:02:18,320 --> 00:02:20,920 Speaker 1: That sounds disgusting today, not about used to buy the 35 00:02:20,960 --> 00:02:25,440 Speaker 1: canned the canned peaches and as I goopy serum came out. Yeah, 36 00:02:25,480 --> 00:02:30,200 Speaker 1: sixteen and a half percent for canned fruit. Bread is 37 00:02:30,280 --> 00:02:34,919 Speaker 1: up sixteen percent. What about steak, Well, I know steak 38 00:02:35,000 --> 00:02:38,000 Speaker 1: is much higher. I just bought some steak last night. 39 00:02:39,440 --> 00:02:46,360 Speaker 1: I keep buying smaller and smaller cuts. UM airlines thirty 40 00:02:46,360 --> 00:02:49,880 Speaker 1: three percent higher than a year ago. They actually dropped 41 00:02:49,960 --> 00:02:53,760 Speaker 1: month to month the airlines because now we're hitting the fall. Yeah, 42 00:02:53,880 --> 00:02:58,959 Speaker 1: well that's the seasonal drop compared to last year. It's 43 00:02:59,480 --> 00:03:04,200 Speaker 1: one third higher, right, And all of this should have 44 00:03:04,280 --> 00:03:07,240 Speaker 1: been offset And that's probably why the expert economists thought so, 45 00:03:07,400 --> 00:03:10,920 Speaker 1: because of the dropping gas prices. Not here in California, 46 00:03:11,200 --> 00:03:13,520 Speaker 1: gas prices have actually started to go up in September, 47 00:03:13,600 --> 00:03:15,960 Speaker 1: but in most of the rest of the states there 48 00:03:16,000 --> 00:03:18,280 Speaker 1: were a significant trop there's like a ten percent drop. 49 00:03:18,680 --> 00:03:21,760 Speaker 1: And what they called the gasoline index, it's it's the 50 00:03:22,160 --> 00:03:26,840 Speaker 1: average price in California is five forty now. I paid 51 00:03:26,840 --> 00:03:29,520 Speaker 1: five fifty nine the other day one week ago. In 52 00:03:29,520 --> 00:03:33,359 Speaker 1: New Jersey, I paid three fifty nine. Three fifty nine 53 00:03:33,400 --> 00:03:36,200 Speaker 1: to five fifty nine. And that's one of those high 54 00:03:36,200 --> 00:03:39,200 Speaker 1: tax states. Jersey is a very high tax state. But 55 00:03:39,240 --> 00:03:41,800 Speaker 1: they don't have very democratic laws, do they know? They 56 00:03:41,800 --> 00:03:44,880 Speaker 1: have what a bunch of climate laws? Oh not in Jersey. 57 00:03:44,960 --> 00:03:46,960 Speaker 1: No trying to ring in the gas usage. You ever, 58 00:03:47,120 --> 00:03:49,800 Speaker 1: ever land at Newark Airport and go down the Jersey Turnpike. 59 00:03:51,000 --> 00:03:54,560 Speaker 1: All the oil refineries and the chemical refineries. They gave 60 00:03:54,640 --> 00:03:57,840 Speaker 1: up an air quality like fifty years ago. Now I'm 61 00:03:57,880 --> 00:04:00,280 Speaker 1: surprised I'm alive. One of my last accounting job, I 62 00:04:00,280 --> 00:04:04,360 Speaker 1: had to go to Bayonne. Oh and I was all 63 00:04:04,360 --> 00:04:06,280 Speaker 1: the refineries that I was doing some kind of audit 64 00:04:06,440 --> 00:04:10,080 Speaker 1: bay And I just remember the stink Bayon is only 65 00:04:10,080 --> 00:04:14,960 Speaker 1: about ten percent oxygen. When the memory came back to 66 00:04:14,960 --> 00:04:16,880 Speaker 1: me the other day. You know why the memory came 67 00:04:16,880 --> 00:04:19,280 Speaker 1: back to me because I during that short period of 68 00:04:19,279 --> 00:04:21,560 Speaker 1: time that I was on that job, I had to 69 00:04:21,640 --> 00:04:23,800 Speaker 1: drive my car because I headed up into New York 70 00:04:23,839 --> 00:04:27,040 Speaker 1: City to go to Broadcast school at night. And I 71 00:04:27,080 --> 00:04:29,039 Speaker 1: was like, I remember parking my car in your time 72 00:04:29,080 --> 00:04:30,760 Speaker 1: square and go to broadcast school. But why did I 73 00:04:30,800 --> 00:04:33,040 Speaker 1: have my car? Oh? Yeah, I had to go to Bayonne, 74 00:04:33,080 --> 00:04:35,680 Speaker 1: New Jersey and do that oil refinery audit. Whatever it 75 00:04:35,760 --> 00:04:38,200 Speaker 1: was hit an oil refinery audit, it must have been 76 00:04:38,240 --> 00:04:39,799 Speaker 1: in Yeah, I think it must have been an oil company. 77 00:04:39,839 --> 00:04:44,039 Speaker 1: Day threw me at Yeah, I didn't know that. And 78 00:04:44,080 --> 00:04:45,880 Speaker 1: that was when I left that firm. Right after that, 79 00:04:45,880 --> 00:04:47,400 Speaker 1: I was old near the Aird. If you've never been 80 00:04:47,440 --> 00:04:51,280 Speaker 1: in New Jersey, the land at Newark Airport. It's surrounded 81 00:04:51,279 --> 00:04:55,919 Speaker 1: by wetlands known as the Meadowlands, which you may have 82 00:04:55,960 --> 00:04:58,520 Speaker 1: heard that's where they put the football stam live stadiums 83 00:04:59,000 --> 00:05:01,960 Speaker 1: for the Jets and Giants. Yeah, and it's because we're 84 00:05:02,000 --> 00:05:04,120 Speaker 1: just driving through the other day. And that's basically where 85 00:05:04,160 --> 00:05:06,200 Speaker 1: I grew up. I grew up about six miles from 86 00:05:07,480 --> 00:05:11,160 Speaker 1: middle Land Stadium. The swamp. Yeah, the swamp is really 87 00:05:11,200 --> 00:05:14,800 Speaker 1: what it is, but it's beautiful wetlands and we were 88 00:05:14,839 --> 00:05:18,359 Speaker 1: just marveling about what they did to the wetlands. I 89 00:05:18,400 --> 00:05:23,200 Speaker 1: don't know when they but endless chemical plants, endless oil refineries, 90 00:05:23,720 --> 00:05:31,080 Speaker 1: gas refineries, and there is this stinging, pungent odor in 91 00:05:31,120 --> 00:05:34,280 Speaker 1: the air that also burns your eyes, in your throat. 92 00:05:34,560 --> 00:05:37,520 Speaker 1: You can't you know why the liberal progressives want to 93 00:05:37,520 --> 00:05:41,159 Speaker 1: shut all those things down. It's killing people. You You 94 00:05:41,200 --> 00:05:42,920 Speaker 1: got to keep your windows up when you drive down 95 00:05:42,960 --> 00:05:45,359 Speaker 1: the New Jersey Turnpike. You want jobs, You want to breathe. 96 00:05:45,440 --> 00:05:48,400 Speaker 1: It is so foul, it is so smelly, It just 97 00:05:48,560 --> 00:05:51,480 Speaker 1: it just burns. You're bringing back memories of me, right, 98 00:05:51,720 --> 00:05:54,960 Speaker 1: Oh God, And I grew up, you know, about five 99 00:05:54,960 --> 00:05:57,680 Speaker 1: miles from this, so I probably have brain damage because 100 00:05:57,720 --> 00:05:59,599 Speaker 1: I think if the wind, you know, blew from the 101 00:05:59,600 --> 00:06:03,680 Speaker 1: east would go over our neighborhood. Well, it's hard to 102 00:06:03,720 --> 00:06:07,920 Speaker 1: believe that today Biden participated in the celebration of the 103 00:06:07,960 --> 00:06:10,200 Speaker 1: Inflation Reduction Act on a day where we got a 104 00:06:10,240 --> 00:06:13,240 Speaker 1: horrible report on inflation. They actually signed the bill last month, 105 00:06:13,800 --> 00:06:16,360 Speaker 1: but they I guess they believe these economists who thought 106 00:06:16,360 --> 00:06:18,800 Speaker 1: there might be slightly better news to report when the 107 00:06:19,200 --> 00:06:22,640 Speaker 1: things came out today, so they they went ahead with 108 00:06:22,720 --> 00:06:26,600 Speaker 1: their ceremony. This first clip is old Joe. Oh, it's 109 00:06:26,640 --> 00:06:29,800 Speaker 1: an I can't remember a moment. He's trying to remember 110 00:06:30,400 --> 00:06:33,560 Speaker 1: when the Inflation Reduction Act passed Congress. Let's listen. In 111 00:06:33,680 --> 00:06:36,159 Speaker 1: this new law also locks in place that while we're 112 00:06:36,160 --> 00:06:39,880 Speaker 1: passing we passed a couple a month ago, the when 113 00:06:39,920 --> 00:06:43,080 Speaker 1: we're here for today, it's going to lower healthcare premium 114 00:06:43,120 --> 00:06:46,360 Speaker 1: costs for families and get their coverage who get their 115 00:06:46,360 --> 00:06:49,880 Speaker 1: country coverage gender the Affordable Care Act about eight hundred 116 00:06:49,920 --> 00:06:54,400 Speaker 1: dollars a year. He's reading that teleprompter. His brain kind 117 00:06:54,400 --> 00:06:56,400 Speaker 1: of clicks and he tries to read too fast or something, 118 00:06:56,440 --> 00:06:59,159 Speaker 1: and maybe he kind of combines the words. Is the 119 00:06:59,200 --> 00:07:02,599 Speaker 1: prompters did speed up on him. The speech was outside 120 00:07:02,680 --> 00:07:04,719 Speaker 1: and he was wearing sunglasses. He had to put his 121 00:07:04,760 --> 00:07:06,719 Speaker 1: hand over his eyes so he could see the glare 122 00:07:06,720 --> 00:07:10,920 Speaker 1: a little bit. Sometimes. Oh, that is bad staffing there. 123 00:07:11,400 --> 00:07:14,679 Speaker 1: Staff is supposed to make the thought of that son 124 00:07:14,800 --> 00:07:16,800 Speaker 1: is not supposed to be in the President's face, and 125 00:07:16,840 --> 00:07:19,960 Speaker 1: you're not supposed to have glare off the telepropter screen. 126 00:07:20,320 --> 00:07:24,800 Speaker 1: All right. Now we have audio from California's own Nancy Pelosi, 127 00:07:24,840 --> 00:07:28,520 Speaker 1: who was there too. Too. Again it's it's a it's 128 00:07:28,520 --> 00:07:33,600 Speaker 1: a celebration of the Inflation Reduction Act. So she starts, 129 00:07:32,720 --> 00:07:36,400 Speaker 1: uh spouting out her support of Biden, and apparently the 130 00:07:36,440 --> 00:07:40,120 Speaker 1: crowd didn't really respond. Let's let's well, let's listen, mister President, 131 00:07:40,640 --> 00:07:46,600 Speaker 1: thank you for unifying an inspiring a vision of a stronger, fair, 132 00:07:47,480 --> 00:07:53,640 Speaker 1: safer future for all, for our children. Your extraordinary leadership 133 00:07:53,960 --> 00:08:00,800 Speaker 1: has made this glorious day possible. That's an applause line. 134 00:08:01,560 --> 00:08:08,120 Speaker 1: That's right, monkeys, applaud your leader. Jill was applauding. She 135 00:08:08,240 --> 00:08:11,280 Speaker 1: had to prompt them because I didn't really understand. They're 136 00:08:11,280 --> 00:08:14,960 Speaker 1: passing out in the heat, and you know, they just 137 00:08:15,360 --> 00:08:17,680 Speaker 1: noticed the price of X is up forty percent. Where 138 00:08:17,680 --> 00:08:20,600 Speaker 1: are they going to applaud. Why didn't they cancel this thing? 139 00:08:20,680 --> 00:08:24,160 Speaker 1: Why would they do this? This sounds dumb. You know what. 140 00:08:24,600 --> 00:08:27,520 Speaker 1: You wait until the inflation report comes out, then you 141 00:08:27,640 --> 00:08:30,120 Speaker 1: decide whether you're going to acknowledge it or not. That's right, 142 00:08:30,360 --> 00:08:32,199 Speaker 1: you don't have a sell. They were so confident in 143 00:08:32,280 --> 00:08:34,559 Speaker 1: their experts that there's gonna be something good to report 144 00:08:34,600 --> 00:08:40,240 Speaker 1: get out there on Tuesday. Mistake. All right, we got 145 00:08:40,320 --> 00:08:43,480 Speaker 1: more coming up. You're not going to believe this. But 146 00:08:43,720 --> 00:08:48,640 Speaker 1: John and Ken and Governor Dippity Do agree on something. Wow, 147 00:08:49,800 --> 00:08:55,720 Speaker 1: assuredly definitely, Well, definitely absolutely. Oh yeah, you've already talked 148 00:08:55,760 --> 00:08:58,040 Speaker 1: about this and given your opinion. All right, and now 149 00:08:58,080 --> 00:09:00,480 Speaker 1: it turns out his opinion is the same is yours. 150 00:09:00,559 --> 00:09:02,480 Speaker 1: Oh let's see if I still have the same one. Oh, 151 00:09:02,640 --> 00:09:05,520 Speaker 1: you could switch John to get if I You know, 152 00:09:06,040 --> 00:09:09,079 Speaker 1: we're gonna talk as I promised. We agree with the 153 00:09:09,320 --> 00:09:12,559 Speaker 1: Dippity Do. Governor Gavin Newsom and the John and Ken 154 00:09:12,679 --> 00:09:17,160 Speaker 1: Show are on the same side on one particular point 155 00:09:17,200 --> 00:09:20,800 Speaker 1: of issue. And we're actually John, the staff has been 156 00:09:20,880 --> 00:09:22,400 Speaker 1: very busy. I don't think you've been coming to the 157 00:09:22,480 --> 00:09:25,960 Speaker 1: late night meetings. We're working on meetings. The Voter Guide 158 00:09:26,400 --> 00:09:29,559 Speaker 1: all the voter guide. Sure, we've already had requests for it. 159 00:09:29,640 --> 00:09:32,800 Speaker 1: It's still September. Well, yeah, but like we said, voting 160 00:09:32,800 --> 00:09:35,080 Speaker 1: and starting just a few weeks, the man probably start 161 00:09:35,160 --> 00:09:40,400 Speaker 1: mailing out ballots. Soon all the voter fraud begins. It's 162 00:09:40,720 --> 00:09:43,120 Speaker 1: gonna be voter fraud season in just a few weeks. 163 00:09:43,320 --> 00:09:47,439 Speaker 1: I think there are seven statewide ballot measures. Here's the 164 00:09:47,480 --> 00:09:49,920 Speaker 1: crib sheet. We're no on most of them, but the 165 00:09:50,000 --> 00:09:51,319 Speaker 1: one we're going to talk about is the one we 166 00:09:51,360 --> 00:09:54,800 Speaker 1: agree with. Tippity do and you know it's got You 167 00:09:54,840 --> 00:09:57,959 Speaker 1: know how the ballot titles are usually deceptive. Yeah, I 168 00:09:58,040 --> 00:10:01,160 Speaker 1: wouldn't say so for this one. This is probably position thirty. 169 00:10:01,840 --> 00:10:05,600 Speaker 1: And here's the description. Tax on the income above two 170 00:10:05,640 --> 00:10:11,000 Speaker 1: million dollars for zero emissions vehicles and wildfire prevention initiative. 171 00:10:11,000 --> 00:10:15,240 Speaker 1: At that part's probably a lie. This comes from Uber 172 00:10:15,280 --> 00:10:19,840 Speaker 1: and Lift. What they want is to get income tax 173 00:10:21,000 --> 00:10:24,760 Speaker 1: from the higher earners and take it to subsidize the 174 00:10:24,960 --> 00:10:30,480 Speaker 1: purchase of electric vehicles because there is a state requirement 175 00:10:31,280 --> 00:10:36,600 Speaker 1: that Lift. These rideshare companies have most of their fleet 176 00:10:36,880 --> 00:10:41,520 Speaker 1: the electric cars by twenty thirty, and most of their 177 00:10:41,640 --> 00:10:46,520 Speaker 1: drivers can't afford to buy an electric vehicle. Very true. 178 00:10:46,840 --> 00:10:49,000 Speaker 1: I have seen a couple of Teslas when I've been 179 00:10:49,040 --> 00:10:52,440 Speaker 1: picked up. They're usually the three model. When I've ordered Uber, 180 00:10:52,480 --> 00:10:56,000 Speaker 1: a couple of Tesla occasionally shows up. In general, if 181 00:10:56,080 --> 00:10:58,439 Speaker 1: you had the money to buy an electric vehicle, you 182 00:10:58,480 --> 00:11:03,960 Speaker 1: wouldn't be driving a lift or an Uber. Probably not. No, Yeah, 183 00:11:05,000 --> 00:11:08,560 Speaker 1: because I've seen most of the people who drive lifts 184 00:11:08,600 --> 00:11:12,080 Speaker 1: and ubers, and a lot of them have run down cars. 185 00:11:12,160 --> 00:11:13,719 Speaker 1: They do. They don't have a lot of money, and 186 00:11:13,760 --> 00:11:17,240 Speaker 1: that's why they're driving people around. It's pretty self evidence. 187 00:11:17,360 --> 00:11:19,960 Speaker 1: So what they're trying to do, they're gonna they're gonna 188 00:11:20,920 --> 00:11:25,240 Speaker 1: increase the tax on personal income above two million dollars 189 00:11:25,320 --> 00:11:28,920 Speaker 1: by one point seven five percent, and then the money 190 00:11:29,000 --> 00:11:33,760 Speaker 1: goes to zero mission vehicle subsidies, zero mission vehicle infrastructure 191 00:11:34,240 --> 00:11:37,559 Speaker 1: like the charging stations. And of course they're throwing this 192 00:11:37,679 --> 00:11:40,319 Speaker 1: in because they want this to be to work in 193 00:11:40,400 --> 00:11:45,120 Speaker 1: the ads wildlife, wildfire suppression and prevention programs. Isn't there 194 00:11:45,200 --> 00:11:48,960 Speaker 1: And there's another proposition that's claiming it's going for wildfire, 195 00:11:49,040 --> 00:11:52,880 Speaker 1: isn't it? This one for homeless? Homeless? They have the 196 00:11:52,920 --> 00:11:54,679 Speaker 1: game of the game, Yeah, one of the game. It's 197 00:11:54,720 --> 00:11:56,640 Speaker 1: but it's either I remember a few years ago there 198 00:11:56,720 --> 00:11:59,600 Speaker 1: was a proposition, a devious one, exceptive one that claimed 199 00:11:59,600 --> 00:12:02,880 Speaker 1: it was going and for firefighters. Yeah, well of course 200 00:12:03,640 --> 00:12:10,400 Speaker 1: for wild fire, right, So believe it or not. Currently, 201 00:12:10,880 --> 00:12:13,480 Speaker 1: if you make above two million, the tax rate is 202 00:12:13,520 --> 00:12:16,240 Speaker 1: thirteen point three percent. This is going to tack on 203 00:12:16,320 --> 00:12:19,840 Speaker 1: another one point seven five percent. That's gonna be fifteen 204 00:12:20,000 --> 00:12:25,120 Speaker 1: plus percent for people at that income level above two million. Yes. Wow, 205 00:12:25,320 --> 00:12:28,400 Speaker 1: And they're in the certain news made an ad he's 206 00:12:28,440 --> 00:12:32,199 Speaker 1: against it. And it's a little weird because the Democratic 207 00:12:32,280 --> 00:12:35,520 Speaker 1: the state Democratic party's in favor of this ballot measure. Okay, 208 00:12:35,840 --> 00:12:38,920 Speaker 1: what's his angle on this? Ah, it's it's the same 209 00:12:39,000 --> 00:12:42,959 Speaker 1: thing I thought of this morning. The president and I 210 00:12:43,080 --> 00:12:44,880 Speaker 1: was looking at this today and I'm thinking, okay, what 211 00:12:45,160 --> 00:12:48,199 Speaker 1: is it? What is the bad news in here for 212 00:12:48,360 --> 00:12:52,040 Speaker 1: his presidential campaign? Well, he's calling it a corporate ballout, 213 00:12:52,120 --> 00:12:53,800 Speaker 1: So maybe he's trying to make it sound like he's 214 00:12:53,840 --> 00:12:56,559 Speaker 1: on the side of the people against the evil big corporations. 215 00:12:56,920 --> 00:12:59,920 Speaker 1: Lift to spending fifteen million dollars ballot measure. You know, 216 00:13:00,120 --> 00:13:02,480 Speaker 1: it is gross. It is bad enough that the government 217 00:13:03,120 --> 00:13:04,920 Speaker 1: are you're going to stand by a no on thirty. 218 00:13:05,200 --> 00:13:07,960 Speaker 1: Oh absolutely, Okay, so you are agreeing with Newsom? Oh 219 00:13:08,040 --> 00:13:11,920 Speaker 1: I am agreeing well, because but you don't have an angle. Well, 220 00:13:11,960 --> 00:13:14,920 Speaker 1: the angle is that I don't think anybody should have 221 00:13:15,040 --> 00:13:18,640 Speaker 1: an extra one and three quarter taken out of their 222 00:13:19,200 --> 00:13:25,960 Speaker 1: out of their earnings just to subsidize a ride company, 223 00:13:26,480 --> 00:13:30,800 Speaker 1: basically a taxi company. If if Lift is, if Lift 224 00:13:30,920 --> 00:13:34,440 Speaker 1: is worried about this electric vehicle mandate, then go spend 225 00:13:34,480 --> 00:13:37,000 Speaker 1: the money yourself on electric vehicles and buy it for 226 00:13:37,080 --> 00:13:43,880 Speaker 1: your drivers. What what are you asking me to buy 227 00:13:43,960 --> 00:13:48,199 Speaker 1: you an electric vehicle so your business runs better? I 228 00:13:48,280 --> 00:13:50,800 Speaker 1: don't care if you think Newsom has a political angle 229 00:13:50,880 --> 00:13:53,040 Speaker 1: for being against this property and making a very public 230 00:13:53,120 --> 00:13:56,760 Speaker 1: by the way he made an ad stating his opposition 231 00:13:57,040 --> 00:13:59,640 Speaker 1: to Prop thirty. You know, I'm wondering if he's trying 232 00:13:59,640 --> 00:14:02,079 Speaker 1: to get it pension for I'm wondering if they tested this, 233 00:14:02,840 --> 00:14:05,720 Speaker 1: you know, with focus groups in polling, to see how 234 00:14:05,800 --> 00:14:08,200 Speaker 1: people would react to this, to this kind of thing, 235 00:14:09,000 --> 00:14:11,840 Speaker 1: and whether it wouldn't play at a presidential campaign because 236 00:14:11,880 --> 00:14:16,719 Speaker 1: he allowed corporations to loot taxpayers. Maybe, I mean that 237 00:14:16,840 --> 00:14:19,400 Speaker 1: doesn't see I know the Democratic Party in this state 238 00:14:19,600 --> 00:14:23,000 Speaker 1: is for this because they're all for tax increases, but 239 00:14:23,120 --> 00:14:28,080 Speaker 1: there's something creepy about a corporation lobbying for their own 240 00:14:28,560 --> 00:14:32,880 Speaker 1: private tax. Oh. I know them parties and favor this too, 241 00:14:32,920 --> 00:14:34,760 Speaker 1: because they're acting like, well, this will give people more 242 00:14:34,840 --> 00:14:38,920 Speaker 1: access to electric vehicles. We support this, take money from 243 00:14:38,920 --> 00:14:41,480 Speaker 1: the wealthy to help poorer people buy electric car. But 244 00:14:41,600 --> 00:14:44,560 Speaker 1: there's all kinds of unintended consequences here. Huh. They're they're 245 00:14:44,880 --> 00:14:47,360 Speaker 1: fanatical about electric vehicles, and we told you all the 246 00:14:47,440 --> 00:14:50,640 Speaker 1: reasons why this isn't gonna work anytime soon. But then 247 00:14:50,920 --> 00:14:53,640 Speaker 1: they decide, you know, to give a mandate to a 248 00:14:53,720 --> 00:14:56,640 Speaker 1: company to buy the evs, and the company says, well, 249 00:14:56,680 --> 00:14:58,600 Speaker 1: we don't want to spend money on that. How about 250 00:14:58,640 --> 00:15:02,600 Speaker 1: if we tax people? And so it makes it look 251 00:15:02,640 --> 00:15:07,560 Speaker 1: like Newsom's policy mandating evs is really a bad policy 252 00:15:07,680 --> 00:15:11,280 Speaker 1: if it means corporations are going to pay for their 253 00:15:11,360 --> 00:15:15,480 Speaker 1: own private tax by spending money on propositions to mandate 254 00:15:15,560 --> 00:15:18,000 Speaker 1: this tax. You know what I'm saying. The whole thing 255 00:15:18,520 --> 00:15:22,760 Speaker 1: is really Ikey and other candidates running against him, either 256 00:15:22,800 --> 00:15:26,360 Speaker 1: in the Democratic primary or Republican are going to accuse 257 00:15:26,480 --> 00:15:31,720 Speaker 1: him of saying you allowed corporations to levy their own 258 00:15:31,880 --> 00:15:37,440 Speaker 1: tax so they would be able to make profit. And 259 00:15:37,680 --> 00:15:40,440 Speaker 1: there's no way to explain that the issue is too complicated. 260 00:15:41,280 --> 00:15:43,080 Speaker 1: He'd be thumbering around for an hour and a half 261 00:15:43,160 --> 00:15:47,560 Speaker 1: trying to explain this. Some research company that got hired 262 00:15:47,600 --> 00:15:50,760 Speaker 1: by the No campaign claims they did new polling and 263 00:15:50,880 --> 00:15:53,440 Speaker 1: as soon as Newsom announced his opposition to the measure, 264 00:15:53,880 --> 00:15:56,760 Speaker 1: support for Prop thirty collapse from sixty one percent to 265 00:15:56,880 --> 00:16:01,640 Speaker 1: thirty one percent. Say Newsom has influence. How sad is 266 00:16:01,760 --> 00:16:06,080 Speaker 1: that that people will vote for a tax because it's 267 00:16:06,120 --> 00:16:09,720 Speaker 1: on the rich. Wait, my leader says no. My leader 268 00:16:09,800 --> 00:16:12,040 Speaker 1: says no, Well then I will not vote for that tax. 269 00:16:12,440 --> 00:16:14,760 Speaker 1: See why he's going to be president. I'm glad I 270 00:16:14,880 --> 00:16:20,080 Speaker 1: heard from my leader, who looks to Newsome, who is this? 271 00:16:20,600 --> 00:16:23,560 Speaker 1: There's a lot of people. Well, again, the poll comes 272 00:16:23,640 --> 00:16:25,960 Speaker 1: from the No people, so maybe the day maybe they 273 00:16:26,000 --> 00:16:30,400 Speaker 1: angled it a little bit. Yeah, but still you really 274 00:16:30,440 --> 00:16:33,360 Speaker 1: quit poll because the Newsom just announces opposition, like over 275 00:16:33,440 --> 00:16:35,320 Speaker 1: the weekend and already there's a bull out for green 276 00:16:35,440 --> 00:16:38,400 Speaker 1: energy cars. Yes, you tax the wealthy, of course you do. 277 00:16:39,120 --> 00:16:43,000 Speaker 1: Oh wait, my leader says no. Well what was I thinking? 278 00:16:43,680 --> 00:16:45,600 Speaker 1: But you're not changing your mind? You're still no one, 279 00:16:46,600 --> 00:16:49,800 Speaker 1: terle it's a terrible one. Well, stealing money from people 280 00:16:49,960 --> 00:16:52,480 Speaker 1: so that Lyft can make a profit. I mean, Lyft 281 00:16:52,640 --> 00:16:56,000 Speaker 1: and Uber are two of the biggest busts when it 282 00:16:56,080 --> 00:16:58,480 Speaker 1: comes to profit that the world has ever seen. They 283 00:16:58,600 --> 00:17:00,880 Speaker 1: lift off venture capital money for ten years and it's 284 00:17:00,960 --> 00:17:03,160 Speaker 1: running out. Have you tried to take a Lifter or Uber? 285 00:17:03,240 --> 00:17:06,960 Speaker 1: Recently they got more expensive, a lot more expensive. Yeah. Yeah, 286 00:17:07,040 --> 00:17:09,040 Speaker 1: I actually took a cab home from the airport because 287 00:17:09,080 --> 00:17:10,720 Speaker 1: it was easier too. They have a day. Yeah, we 288 00:17:10,800 --> 00:17:12,800 Speaker 1: took We took a ride for the airport. We went 289 00:17:12,880 --> 00:17:14,760 Speaker 1: with one of those car services, you know, one of 290 00:17:14,760 --> 00:17:18,040 Speaker 1: those black car services. Yeah, because it was cheaper. Man, 291 00:17:18,240 --> 00:17:20,560 Speaker 1: you can't get a driver either. I went out this 292 00:17:20,640 --> 00:17:23,040 Speaker 1: weekend with some friends and I had three drivers cancel 293 00:17:23,119 --> 00:17:25,280 Speaker 1: on me. So they didn't like where you were going 294 00:17:25,400 --> 00:17:28,920 Speaker 1: or something. I don't know my neighborhood. I was in Hollywood. 295 00:17:28,920 --> 00:17:33,879 Speaker 1: I was out with some friends. You're unworthy now they are? 296 00:17:34,040 --> 00:17:36,720 Speaker 1: They are short. Ever since the pandemic, they lost a 297 00:17:36,760 --> 00:17:39,440 Speaker 1: lot of drivers and those drivers never came back. And 298 00:17:39,560 --> 00:17:42,560 Speaker 1: what about AB five turning them into well they got 299 00:17:42,600 --> 00:17:44,600 Speaker 1: around that with the ballot. Yeah, with a ballot measure. 300 00:17:44,800 --> 00:17:48,320 Speaker 1: But but I think it pays, really it pays badly 301 00:17:48,440 --> 00:17:51,440 Speaker 1: now because in order to try to increase their oh, 302 00:17:51,480 --> 00:17:54,280 Speaker 1: with the gas prices, well, yes, the gas prices and 303 00:17:54,680 --> 00:17:58,400 Speaker 1: and uh, these companies are not profitable, so they're squeezing 304 00:17:58,440 --> 00:18:02,520 Speaker 1: the drivers. All right, we got more coming up. Bad business, 305 00:18:02,800 --> 00:18:06,440 Speaker 1: Bring back the taxis, John and ken kfive. I was 306 00:18:06,440 --> 00:18:08,480 Speaker 1: just looking at a story that well, I was a 307 00:18:08,560 --> 00:18:15,080 Speaker 1: congresswoman Cacio Cortez type, this Jaya Pale from Washington. Oh. Yeah, 308 00:18:16,080 --> 00:18:18,480 Speaker 1: she had tweeted out remembrance of nine to eleven on 309 00:18:18,560 --> 00:18:21,879 Speaker 1: the weekend and put out a figure of those who 310 00:18:21,960 --> 00:18:27,800 Speaker 1: died that included b hijackers, but apparently some did Kevin McCarthy, 311 00:18:27,800 --> 00:18:29,919 Speaker 1: who was the Galp House leader, because I guess if 312 00:18:29,960 --> 00:18:33,440 Speaker 1: you google, the official death toll listed does include the 313 00:18:33,560 --> 00:18:37,320 Speaker 1: nineteen hijackers that died too. And then I've looked at up. 314 00:18:37,359 --> 00:18:43,600 Speaker 1: There's two numbers. The number of people excluding the hijackers. 315 00:18:43,680 --> 00:18:46,199 Speaker 1: It was two thousand, nine hundred seventy seven seven, right, 316 00:18:46,280 --> 00:18:49,080 Speaker 1: he added the nineteen. It's two thousand, nine hundred ninety six. 317 00:18:49,800 --> 00:18:52,800 Speaker 1: Right now. This congresswoman put the two thousand, nine nine 318 00:18:52,840 --> 00:18:54,359 Speaker 1: six number out, and of course people are like, oh 319 00:18:54,440 --> 00:18:58,920 Speaker 1: my god, she's including the killers. Yeah. I don't know 320 00:18:58,920 --> 00:19:01,399 Speaker 1: if she did that on purpose, but apparently she did 321 00:19:01,440 --> 00:19:04,280 Speaker 1: it last year too. But I believe she's the kind 322 00:19:04,320 --> 00:19:07,680 Speaker 1: of like left wing radical you could see her. See 323 00:19:07,720 --> 00:19:10,200 Speaker 1: it's plausible that she would be mourning the loss of 324 00:19:10,240 --> 00:19:13,520 Speaker 1: the hijackers of the don't you see a day in 325 00:19:13,600 --> 00:19:17,359 Speaker 1: the woke world where people there was some of this already, 326 00:19:17,400 --> 00:19:20,239 Speaker 1: but I mean a bigger day where people just say, oh, 327 00:19:20,400 --> 00:19:23,800 Speaker 1: America and all its sins and it's imperialistic ways, and 328 00:19:24,320 --> 00:19:26,359 Speaker 1: you know nine eleven was payback. We now she should 329 00:19:26,440 --> 00:19:29,480 Speaker 1: understand those killers. Yeah, you almost see that, right, Yeah, 330 00:19:29,760 --> 00:19:32,960 Speaker 1: I'm I'm sure after a while, as that, as that 331 00:19:33,160 --> 00:19:36,760 Speaker 1: date fades in people's memories and you get more and 332 00:19:36,960 --> 00:19:39,760 Speaker 1: more people who have no memory of it at all. Right, 333 00:19:40,359 --> 00:19:43,200 Speaker 1: they were they're very tiny, or they were born afterwards. 334 00:19:43,560 --> 00:19:46,480 Speaker 1: You know, Benally, it'll be some woke generation of t 335 00:19:46,880 --> 00:19:49,160 Speaker 1: twenty five year olds and they're all going to start 336 00:19:49,240 --> 00:19:52,000 Speaker 1: pointing to how, you know, we exploited the Middle East 337 00:19:52,040 --> 00:19:55,440 Speaker 1: for oil and we used it, we put our military bases. 338 00:19:56,000 --> 00:19:58,240 Speaker 1: In fact, that was Osama bin Laden's argument that we 339 00:19:58,320 --> 00:20:01,880 Speaker 1: were using his holy land and for military basis. Oh yeah, 340 00:20:02,240 --> 00:20:05,520 Speaker 1: that was no justification for sending the planes our way. 341 00:20:06,960 --> 00:20:10,560 Speaker 1: All right. Well, from the world of your wasted tax dollars, 342 00:20:10,680 --> 00:20:13,680 Speaker 1: this is quite a story. Everybody knows that once the 343 00:20:13,800 --> 00:20:17,000 Speaker 1: pandemic began and governments thought that they should set up 344 00:20:18,040 --> 00:20:21,840 Speaker 1: relief for Americans in both the business world and the 345 00:20:21,920 --> 00:20:25,119 Speaker 1: unemployed world. This really opened the door to a lot 346 00:20:25,160 --> 00:20:27,320 Speaker 1: of fraud. Of course, in California, could be as much 347 00:20:27,359 --> 00:20:31,600 Speaker 1: as thirty billion dollars was stolen from the pandemic relief money. 348 00:20:32,520 --> 00:20:37,119 Speaker 1: Now we find out that the US government's Small Business Administration, 349 00:20:38,160 --> 00:20:41,879 Speaker 1: they tried to put up a firewall to block applications 350 00:20:42,040 --> 00:20:46,120 Speaker 1: from foreign entities that would be outside the US because 351 00:20:46,160 --> 00:20:48,680 Speaker 1: they wouldn't be entitled to economic relief since they're not 352 00:20:48,920 --> 00:20:51,880 Speaker 1: US companies or US citizens or anyway. It was called 353 00:20:51,920 --> 00:20:56,359 Speaker 1: the Economic Injury Disaster Loans and it was set up 354 00:20:56,400 --> 00:21:02,080 Speaker 1: to help businesses during the pandemic shutdowns. Well, despite the firewall, 355 00:21:02,280 --> 00:21:06,080 Speaker 1: thousands of applications came in from foreign what they call 356 00:21:06,240 --> 00:21:10,840 Speaker 1: Internet protocol addresses, and at least one point three billion 357 00:21:10,920 --> 00:21:13,560 Speaker 1: dollars in payments went out. You know where a lot 358 00:21:13,600 --> 00:21:15,720 Speaker 1: of them came from. It says in the story Russia 359 00:21:15,800 --> 00:21:19,359 Speaker 1: and Iran, Yeah, got in there. Well, every computer device 360 00:21:19,440 --> 00:21:23,520 Speaker 1: has an IP address and you can locate exactly what 361 00:21:24,040 --> 00:21:28,240 Speaker 1: town the computer. How hard is that the firewall out? 362 00:21:28,320 --> 00:21:32,200 Speaker 1: Then it's not they they're just the company and you 363 00:21:32,240 --> 00:21:35,000 Speaker 1: would hope that they have a firewall for all our 364 00:21:35,080 --> 00:21:39,440 Speaker 1: defense secrets, our nuclear secrets. Oh, but the Inspector General said, 365 00:21:39,800 --> 00:21:43,119 Speaker 1: filing from overseas is not an automatic signal of fraud 366 00:21:43,359 --> 00:21:46,880 Speaker 1: or illegality. But it is a red flag. Oh, it's 367 00:21:46,920 --> 00:21:50,280 Speaker 1: not automatic, it's not. It could be a legitimate application 368 00:21:50,400 --> 00:21:53,440 Speaker 1: just coming from a foreign you know IP address. Really 369 00:21:53,520 --> 00:21:56,600 Speaker 1: what persons out of the country when they're applying for 370 00:21:56,800 --> 00:21:59,040 Speaker 1: the help but for their No, so how were they 371 00:21:59,080 --> 00:22:02,359 Speaker 1: impacted by the US closing down? But it sounds like 372 00:22:02,440 --> 00:22:04,240 Speaker 1: there was no follow up. No, there was no follow up. 373 00:22:04,359 --> 00:22:06,960 Speaker 1: The red flag was just plucked off the table and 374 00:22:07,720 --> 00:22:11,000 Speaker 1: throw up to the ground. Okay, pay them, No, it 375 00:22:11,080 --> 00:22:12,879 Speaker 1: was all It was just all done automatically, like here 376 00:22:12,920 --> 00:22:16,840 Speaker 1: in California, I would suspect and they'll never admit this 377 00:22:17,119 --> 00:22:19,119 Speaker 1: and they probably didn't put it in writing, but that 378 00:22:19,240 --> 00:22:23,840 Speaker 1: the general rule was approve every application. Yeah, because this 379 00:22:24,000 --> 00:22:26,080 Speaker 1: is an emergency and people need help. Now we're going 380 00:22:26,119 --> 00:22:29,040 Speaker 1: to get inundated with literally millions of applications. That's what 381 00:22:29,160 --> 00:22:31,440 Speaker 1: California did. We've got no time to figure out who's 382 00:22:31,520 --> 00:22:34,480 Speaker 1: legit and who's not. It is a national emergency. Best 383 00:22:34,560 --> 00:22:37,080 Speaker 1: thing to do is just send out the money. Most 384 00:22:37,160 --> 00:22:40,119 Speaker 1: of the people are not defrauding us, but as it 385 00:22:40,240 --> 00:22:42,840 Speaker 1: turned out, significant percentage were, and that ended up to 386 00:22:42,920 --> 00:22:45,440 Speaker 1: tens of billions of dollars. That's because what happens once 387 00:22:45,480 --> 00:22:48,560 Speaker 1: the fronsters find out you're doing that, word spreads quickly. Well, yeah, 388 00:22:48,600 --> 00:22:50,840 Speaker 1: because they're not checking get in there, because it takes 389 00:22:50,880 --> 00:22:53,440 Speaker 1: a lot of work in time to build up firewalls 390 00:22:53,640 --> 00:22:59,320 Speaker 1: and to build a protocol to double check applications, because 391 00:22:59,400 --> 00:23:04,440 Speaker 1: normally they they'd be calling multiple times. You're debating multiple 392 00:23:04,720 --> 00:23:07,160 Speaker 1: rounds of paperwork to prove that you deserve this money. 393 00:23:07,200 --> 00:23:10,159 Speaker 1: They didn't do that. You just said give me and 394 00:23:10,359 --> 00:23:13,280 Speaker 1: they sent it to you. The Small Business Administrations claiming 395 00:23:13,280 --> 00:23:17,119 Speaker 1: they did weed out millions of attempts from foreign IP addresses, 396 00:23:18,440 --> 00:23:22,680 Speaker 1: but apparently still there were there Probably there are probably 397 00:23:22,720 --> 00:23:26,119 Speaker 1: some countries where it was obvious. Yeah, apparently there were 398 00:23:26,160 --> 00:23:29,680 Speaker 1: six countries with histories of fraud. Well, Yeah, looks like 399 00:23:29,760 --> 00:23:33,720 Speaker 1: the guys who send out the Nigerian prince. Okay, so 400 00:23:34,160 --> 00:23:36,320 Speaker 1: if you if you saw those IP addresses, you you 401 00:23:36,560 --> 00:23:38,960 Speaker 1: that'd be a good clue. YEA ever, look at your 402 00:23:39,000 --> 00:23:40,680 Speaker 1: spam folder. You should see how many free things I 403 00:23:40,760 --> 00:23:44,960 Speaker 1: get a day. You get the headline, you the free claim, 404 00:23:45,040 --> 00:23:48,120 Speaker 1: you're you're a new dishwasher, You're new. Uh, you don't 405 00:23:48,119 --> 00:23:52,040 Speaker 1: get those. I get all kinds of erection medicine offers. Well, 406 00:23:52,200 --> 00:23:55,399 Speaker 1: I wonder why they're targeting again, shop, I don't know 407 00:23:55,440 --> 00:23:57,920 Speaker 1: what they know. What kind of cookies are you leaving? 408 00:23:59,359 --> 00:24:04,120 Speaker 1: Apparently I left the bad cookies somewhere. It says here 409 00:24:05,400 --> 00:24:08,680 Speaker 1: that they yeah, they did try to flag some of 410 00:24:08,720 --> 00:24:11,640 Speaker 1: these applications, but too many of them got through anyway. 411 00:24:15,119 --> 00:24:18,520 Speaker 1: It says here successful foreign IP applications were just one 412 00:24:18,600 --> 00:24:21,720 Speaker 1: percent of all approved cases. Look at this though, the 413 00:24:21,920 --> 00:24:30,080 Speaker 1: total unemployment fraud two hundred billion dollars. Criminal syndicates likely 414 00:24:30,119 --> 00:24:34,400 Speaker 1: accounting for more than one hundred billion. Iran and Russia 415 00:24:35,800 --> 00:24:38,760 Speaker 1: were the most likely ir regions where they where they 416 00:24:38,800 --> 00:24:43,720 Speaker 1: had organized crime, probably flooding the system with hundreds or 417 00:24:43,800 --> 00:24:47,240 Speaker 1: thousands of applications, just overwhelming the system. But look at 418 00:24:47,280 --> 00:24:49,919 Speaker 1: the second to last paragraph, Nigeria, known from being home 419 00:24:50,000 --> 00:24:52,920 Speaker 1: to sophisticated and determined fraud stewards, led the way among 420 00:24:53,040 --> 00:24:57,080 Speaker 1: foreign addressed applications thirty three thousand, four hundred and seventy 421 00:24:57,080 --> 00:24:59,920 Speaker 1: SETI submitted. It's probably just two guys, right, but look, 422 00:25:00,200 --> 00:25:03,560 Speaker 1: only two hundred forty one approved. Yeah, twenty million dollars. See, 423 00:25:03,640 --> 00:25:05,760 Speaker 1: they see Nigeria is on the list, right right, they 424 00:25:05,840 --> 00:25:09,040 Speaker 1: knew right away Nigeria. That's bad news. So I don't 425 00:25:09,080 --> 00:25:10,879 Speaker 1: think I would wouldn't a Ron and Russia be on 426 00:25:10,960 --> 00:25:15,800 Speaker 1: the list, you would think, right? And uh, well even 427 00:25:15,960 --> 00:25:20,719 Speaker 1: even even Canada, Canada says somebody sentenced. Oh my god, Canada. 428 00:25:20,840 --> 00:25:24,560 Speaker 1: Twenty thousand applications came from Canadian addresses and they only 429 00:25:24,600 --> 00:25:27,560 Speaker 1: paid out thirty seven hundred applications. So there was that 430 00:25:27,720 --> 00:25:30,600 Speaker 1: much fraud coming out of Canada. Oh you can't trust 431 00:25:30,640 --> 00:25:35,280 Speaker 1: anybody anymore. The Canadians are ripping us off. Oh mean 432 00:25:35,400 --> 00:25:39,800 Speaker 1: that's sad, right when the Canadians think you're an easy mark. Well, 433 00:25:41,040 --> 00:25:43,320 Speaker 1: like I said, once the word gets out, it gets 434 00:25:43,359 --> 00:25:45,600 Speaker 1: out all over the world. I mean, there's only on 435 00:25:45,720 --> 00:25:47,960 Speaker 1: the dark web that this is for the taken. I 436 00:25:48,040 --> 00:25:50,680 Speaker 1: think there's only six or eight Canadian criminals in the 437 00:25:50,680 --> 00:25:55,239 Speaker 1: whole country. Yeah, all right, we got more covered up, 438 00:25:55,359 --> 00:25:59,000 Speaker 1: John and k Oh. I gotta love this story. Thirteen 439 00:25:59,280 --> 00:26:04,480 Speaker 1: hundred New or Time staffers are threatening to strike they 440 00:26:04,800 --> 00:26:13,359 Speaker 1: refuse to return to the workplace. These are the Wiener Wop, 441 00:26:13,800 --> 00:26:16,159 Speaker 1: The Times, the New York Times. They want people to 442 00:26:16,280 --> 00:26:18,800 Speaker 1: come back at least three days a week, and this 443 00:26:19,040 --> 00:26:23,480 Speaker 1: group of thirteen hundreds yield member employees have signed a 444 00:26:23,560 --> 00:26:26,000 Speaker 1: pledge to continue to work remotely this week. That's not 445 00:26:26,160 --> 00:26:27,920 Speaker 1: fair to make me work, to make me come in. 446 00:26:28,400 --> 00:26:33,160 Speaker 1: I don't have to come in. Uh, Mommy never made 447 00:26:33,200 --> 00:26:36,920 Speaker 1: me do that. These are babies. When I started the 448 00:26:37,000 --> 00:26:39,119 Speaker 1: Times in twenty fourteen, my salary was one hundred and 449 00:26:39,160 --> 00:26:41,920 Speaker 1: twenty eight thousand dollars. Since then, I've negotiated for two 450 00:26:42,000 --> 00:26:45,120 Speaker 1: merit based raises, yet adjusted for inflation, my salary's worth 451 00:26:45,160 --> 00:26:47,040 Speaker 1: about the same as it was when I started in 452 00:26:47,119 --> 00:26:50,160 Speaker 1: twenty fourteen. Why don't you talk to your editorial board, 453 00:26:50,200 --> 00:26:54,920 Speaker 1: which is pushed for all of Biden's trillions of dollars 454 00:26:55,040 --> 00:26:59,240 Speaker 1: of spending, which is ignited inflation. How about that? Why'd 455 00:26:59,280 --> 00:27:02,040 Speaker 1: you talk to your editor Why don't you get out 456 00:27:02,080 --> 00:27:05,960 Speaker 1: of a dying profession. By the way, most people would 457 00:27:06,000 --> 00:27:07,960 Speaker 1: love a salary of one hundred and twenty eight thousand 458 00:27:07,960 --> 00:27:11,240 Speaker 1: dollars went to raisky. Maybe New York City if he's 459 00:27:11,320 --> 00:27:14,360 Speaker 1: living there. Began when these are toddlers, these are babies. 460 00:27:14,720 --> 00:27:18,040 Speaker 1: These are all the woe kids who constantly are triggered, 461 00:27:18,440 --> 00:27:22,560 Speaker 1: and they've got these the epic meltdowns every time somebody 462 00:27:22,640 --> 00:27:26,160 Speaker 1: says something, every time somebody writes something that they disagree 463 00:27:26,200 --> 00:27:31,280 Speaker 1: with that they find mean. They're just little kids, spoiled 464 00:27:31,440 --> 00:27:34,639 Speaker 1: little kids, and now you're making them come to work. 465 00:27:36,600 --> 00:27:40,040 Speaker 1: Had no patience for this crowd. None. For the first 466 00:27:40,160 --> 00:27:45,920 Speaker 1: time since nineteen thirty six in the country of Australia, 467 00:27:46,880 --> 00:27:50,480 Speaker 1: a kangaroo has killed a person. Yeah, you may not 468 00:27:50,600 --> 00:27:54,080 Speaker 1: think of kangaroos is particularly aggressive, but they sure can be. Well, 469 00:27:54,080 --> 00:27:57,160 Speaker 1: they're big too this they can get to four feet 470 00:27:57,200 --> 00:27:59,040 Speaker 1: when they're standing up right. But I mean they got 471 00:27:59,040 --> 00:28:01,399 Speaker 1: a lot of ballk on them. If they want to 472 00:28:01,440 --> 00:28:05,320 Speaker 1: take you out, they could. Poor seventy seven year old 473 00:28:05,320 --> 00:28:07,719 Speaker 1: guy was believed to have been keeping this animal as 474 00:28:07,760 --> 00:28:11,399 Speaker 1: a pet. He was found with serious injuries on his 475 00:28:11,640 --> 00:28:15,600 Speaker 1: property on Sunday, and he did not recover and they 476 00:28:15,680 --> 00:28:20,040 Speaker 1: believed the attack was earlier in the day. Strangely, when 477 00:28:20,080 --> 00:28:24,280 Speaker 1: they came there to give him some medical help, the 478 00:28:24,480 --> 00:28:28,840 Speaker 1: kangaroo was blocking the paramedics path. I guess he considered 479 00:28:28,880 --> 00:28:32,840 Speaker 1: the man his fallen prey and he was protecting it. 480 00:28:33,240 --> 00:28:35,959 Speaker 1: That kind of animalistic response, right, he wanted the guy 481 00:28:36,040 --> 00:28:39,880 Speaker 1: to die or it was like this is mine because 482 00:28:39,920 --> 00:28:42,200 Speaker 1: I knocked it out. What do you can't have it? 483 00:28:42,400 --> 00:28:46,320 Speaker 1: Kind of thing, right? I mean, this guy's name is Peter. 484 00:28:46,840 --> 00:28:49,160 Speaker 1: He had raised this kangaroo for three years, since he 485 00:28:49,240 --> 00:28:52,560 Speaker 1: was a little baby. Yeah, he's an alpaca breeder. They 486 00:28:52,600 --> 00:28:55,120 Speaker 1: can be aggressive too. I don't think they're what do 487 00:28:55,160 --> 00:28:58,560 Speaker 1: you think this guy did? What? Why did the kangaroo 488 00:28:58,600 --> 00:29:02,880 Speaker 1: suddenly get fed up? It grew up? Yeah, three years old. 489 00:29:03,640 --> 00:29:06,280 Speaker 1: It's a wild animal, and decided I'm going to take 490 00:29:06,320 --> 00:29:09,800 Speaker 1: this bastard out. Finally, I'm sick of you. Oh yeah. 491 00:29:11,760 --> 00:29:13,800 Speaker 1: More than eighty five years ago, a thirty eight year 492 00:29:13,800 --> 00:29:16,560 Speaker 1: old man died after being attacked by a kangaroo. But 493 00:29:16,720 --> 00:29:19,120 Speaker 1: that's the only time they can remember this happening. You know, 494 00:29:19,200 --> 00:29:22,160 Speaker 1: they had There are illegal restrictions on keeping Australian native 495 00:29:23,120 --> 00:29:26,160 Speaker 1: animals like this as pets, and because the kangaroos blocking 496 00:29:26,200 --> 00:29:28,440 Speaker 1: the paramedics, the police had to shoot it to death. 497 00:29:29,160 --> 00:29:32,680 Speaker 1: It can. These kangaroos, they're called Western grays, can be 498 00:29:33,080 --> 00:29:35,080 Speaker 1: up to four feet three inches tall and they stand 499 00:29:35,160 --> 00:29:39,560 Speaker 1: up in one hundred nineteen pounds. So yeah, and the 500 00:29:39,680 --> 00:29:43,920 Speaker 1: males are particularly aggressive because they do. There was a video. 501 00:29:44,120 --> 00:29:45,720 Speaker 1: I don't know if it's still with this story. Oh, 502 00:29:45,920 --> 00:29:49,479 Speaker 1: I was laughing hysterically because it was two kangaroos who 503 00:29:49,520 --> 00:29:52,360 Speaker 1: were tussling and one of them pushes the other one 504 00:29:52,400 --> 00:29:55,160 Speaker 1: into a fence. It goes flying through the fence. You 505 00:29:55,320 --> 00:29:57,000 Speaker 1: can't see the kangaroo that went through the fence, but 506 00:29:57,040 --> 00:29:59,120 Speaker 1: the other kangaroo stands there just kind of staring. Oh, 507 00:29:59,160 --> 00:30:02,200 Speaker 1: it's sterical. If you can find it online. The kangaroo 508 00:30:02,240 --> 00:30:03,960 Speaker 1: just stands like, you can't figure out what happened? Where'd 509 00:30:03,960 --> 00:30:06,680 Speaker 1: you go? Bethin better than kangaroo violets smashed them right 510 00:30:06,720 --> 00:30:09,560 Speaker 1: through the fence, you know, like a ballplayer goes for 511 00:30:09,640 --> 00:30:13,200 Speaker 1: a home run and go smashing through the wall. This 512 00:30:13,360 --> 00:30:18,080 Speaker 1: kangaroo went flying. They have they have a history of 513 00:30:18,480 --> 00:30:22,680 Speaker 1: I guess men getting attacked by kangaroos. They said eighty 514 00:30:22,720 --> 00:30:25,560 Speaker 1: five years ago, there was a thirty eight year old 515 00:30:25,800 --> 00:30:30,600 Speaker 1: man named William Krookshank and he was in the hospital 516 00:30:30,680 --> 00:30:33,720 Speaker 1: for months and then he died. He was attacked by 517 00:30:33,760 --> 00:30:37,400 Speaker 1: a kangaroo. Extensive head injuries and a broken jaw, so 518 00:30:37,560 --> 00:30:42,080 Speaker 1: the kangaroo really really whacked him. One. Yeah, I went 519 00:30:42,160 --> 00:30:44,600 Speaker 1: to my last trip to Australia. I do you get 520 00:30:44,760 --> 00:30:48,960 Speaker 1: up close with the wallabies? They're pretty similar. But I 521 00:30:49,120 --> 00:30:51,320 Speaker 1: was not inside the pen with the wallabee they were. 522 00:30:51,680 --> 00:30:54,520 Speaker 1: They were just just behind a little fence, just staring 523 00:30:54,560 --> 00:30:57,120 Speaker 1: at you. But you could see that they were ready 524 00:30:57,160 --> 00:31:00,920 Speaker 1: to spring. Yeah. I wouldn't take any chances. One is 525 00:31:00,960 --> 00:31:03,200 Speaker 1: a pet. You're not gonna believe it's here. It's it's 526 00:31:03,280 --> 00:31:06,960 Speaker 1: Conway and Thompson, the two of them, Mark Thompson. Yes, 527 00:31:08,040 --> 00:31:10,640 Speaker 1: it is in data pleasure. Yeah, roll it in, man, 528 00:31:10,720 --> 00:31:12,760 Speaker 1: Look at you. I need a pair of headphones. At 529 00:31:12,800 --> 00:31:15,120 Speaker 1: some point you can hear us from here. I can 530 00:31:15,160 --> 00:31:20,640 Speaker 1: hear you, guys. Let's share one here. What's going on? If? Well, 531 00:31:20,880 --> 00:31:23,600 Speaker 1: we have the California has lost a billion dollars, the 532 00:31:23,680 --> 00:31:29,240 Speaker 1: most scammed state in twenty twenty. It's California great. And 533 00:31:29,320 --> 00:31:31,520 Speaker 1: then we have a well that's something though, isn't it. Yeah, 534 00:31:32,320 --> 00:31:35,760 Speaker 1: number one, take a victory lap on that. Yeah, crime 535 00:31:35,880 --> 00:31:40,600 Speaker 1: is at an all time low. That's good, right, I 536 00:31:40,640 --> 00:31:43,360 Speaker 1: guess it's not. You're turning that chart upside Yeah. Wait, yeah, 537 00:31:44,320 --> 00:31:46,160 Speaker 1: all time high. This is something not a lot of 538 00:31:46,160 --> 00:31:48,840 Speaker 1: people are talking about. There's a potential railroad workers strike 539 00:31:48,880 --> 00:31:51,160 Speaker 1: that could cost the economy two billion dollars. It's going 540 00:31:51,200 --> 00:31:53,520 Speaker 1: to be here every day. Yeah, they've been working under 541 00:31:53,800 --> 00:31:56,360 Speaker 1: what do they call that, John the free Like when 542 00:31:56,400 --> 00:31:58,959 Speaker 1: the government says you got to work it out, It's like, um, 543 00:31:59,360 --> 00:32:02,120 Speaker 1: it's that. It's probably a good word to describe that. Yeah. No, 544 00:32:02,200 --> 00:32:05,360 Speaker 1: But anyway, that ends on Friday, Okay, so Friday. Yeah, 545 00:32:05,440 --> 00:32:09,120 Speaker 1: so after that it's probably gonna happen. Yeah, man, that's scary. 546 00:32:09,440 --> 00:32:12,240 Speaker 1: Well I read that they won't let the railroad workers 547 00:32:12,680 --> 00:32:15,960 Speaker 1: go to a doctor's appoint Jacob adicle leave during the week. Yeah, 548 00:32:16,400 --> 00:32:18,360 Speaker 1: you gotta get you gotta get a weekend appointent where 549 00:32:18,360 --> 00:32:20,080 Speaker 1: the doctor? Can you get those you can't get two 550 00:32:20,120 --> 00:32:24,120 Speaker 1: hours off? Yeah, it's true, But doesn't can't one guy 551 00:32:24,360 --> 00:32:29,640 Speaker 1: run a train that's like five hundred box cars? I mean, 552 00:32:29,680 --> 00:32:32,320 Speaker 1: do we need to problem solved? You know who it 553 00:32:32,440 --> 00:32:35,080 Speaker 1: was that simple. Maybe you could do some filling work there. 554 00:32:37,320 --> 00:32:39,560 Speaker 1: How many guys to take to run the train? Right, 555 00:32:40,040 --> 00:32:42,040 Speaker 1: they don't have the caboose anymore. They're gonna be looking 556 00:32:42,080 --> 00:32:45,280 Speaker 1: for peoples, right, that's where they start the negotiation. How 557 00:32:45,320 --> 00:32:48,160 Speaker 1: many of you guys actually take the run? You remember 558 00:32:48,160 --> 00:32:49,800 Speaker 1: the old days, they used to have a caboose and 559 00:32:49,840 --> 00:32:51,480 Speaker 1: one guy would sit there at the end of the train. 560 00:32:51,640 --> 00:32:53,600 Speaker 1: Just look out. That's a good job. Yeah, that's that 561 00:32:53,760 --> 00:32:55,680 Speaker 1: was the cush job in the world. And then they 562 00:32:55,720 --> 00:32:59,920 Speaker 1: eliminated that. So it's just one guy. It's one guy. 563 00:33:00,080 --> 00:33:02,680 Speaker 1: He's driving one hundred and fifty trucks across country and 564 00:33:02,760 --> 00:33:05,880 Speaker 1: we can't find enough of those guys. Apparently it's tough. 565 00:33:06,680 --> 00:33:09,720 Speaker 1: And then I don't know, free online tutoring for kids 566 00:33:09,760 --> 00:33:13,120 Speaker 1: available for all students in California because of funding. So 567 00:33:13,400 --> 00:33:15,120 Speaker 1: there you go, all right, So if we got dopey kids, 568 00:33:15,160 --> 00:33:18,320 Speaker 1: they can be tutored for free. All right? Excellent jam 569 00:33:21,600 --> 00:33:25,920 Speaker 1: d K five KOSHT two, Los Angeles, Orange County live 570 00:33:25,960 --> 00:33:27,360 Speaker 1: everywhere on the iHeartRadio app.