1 00:00:00,600 --> 00:00:03,480 Speaker 1: See Michael in regards to the alex Pretty shooting. Do 2 00:00:03,480 --> 00:00:06,560 Speaker 1: you think we're majoring on the minor worrying about whether 3 00:00:06,680 --> 00:00:09,799 Speaker 1: his particular sixth hour may or may not have gone 4 00:00:09,800 --> 00:00:13,840 Speaker 1: off while he was armed and resisting arrest. To me, 5 00:00:13,920 --> 00:00:17,759 Speaker 1: it just seems it's a talking point made to settle 6 00:00:17,840 --> 00:00:24,040 Speaker 1: down Second Amendment advocates who see their rights as being threatened, 7 00:00:24,040 --> 00:00:25,279 Speaker 1: when indeed they are not. 8 00:00:27,880 --> 00:00:33,159 Speaker 2: Just my opinion, I think you're honestly reading way too 9 00:00:33,280 --> 00:00:40,280 Speaker 2: much into it, because whether the p three twenty discharged, 10 00:00:41,000 --> 00:00:45,000 Speaker 2: you know, through the scuffle or trigger pull or whatever, 11 00:00:46,080 --> 00:00:54,000 Speaker 2: that's that's a technical point inside a criminal case and 12 00:00:54,120 --> 00:00:58,880 Speaker 2: has nothing to do with his Second Amendment rights or 13 00:00:59,120 --> 00:01:02,240 Speaker 2: my second a Mement rights, your Second Amendment rights, the 14 00:01:03,360 --> 00:01:06,960 Speaker 2: First Amendment rights to peacefully protest, which obviously he wasn't doing, 15 00:01:07,319 --> 00:01:11,320 Speaker 2: and or the violation of Federal law Title eighteen, Section 16 00:01:11,360 --> 00:01:13,240 Speaker 2: one to eleven, which he was engaged in when he 17 00:01:13,240 --> 00:01:18,240 Speaker 2: started interfering with those operations with the insurgency that's really 18 00:01:18,280 --> 00:01:25,440 Speaker 2: taking place. This was, again just a topic about how 19 00:01:25,480 --> 00:01:32,920 Speaker 2: to critically analyze a subject, not anything to do with Minneapolis. 20 00:01:33,760 --> 00:01:36,440 Speaker 2: If you go back and listen to that hour, the 21 00:01:36,440 --> 00:01:40,319 Speaker 2: only time that I mentioned Minneapolis was at the top 22 00:01:40,760 --> 00:01:46,080 Speaker 2: because it was the pretext for the entire conversation about 23 00:01:46,080 --> 00:01:48,360 Speaker 2: the P three to twenty, because I happen to mention 24 00:01:48,520 --> 00:01:50,960 Speaker 2: yesterday that I thought he had been carrying a glock, 25 00:01:51,280 --> 00:01:53,200 Speaker 2: and then I find out he was carrying a P 26 00:01:53,320 --> 00:01:55,520 Speaker 2: three twenty, and the first thing that came to my 27 00:01:55,640 --> 00:02:01,000 Speaker 2: mind was in the scuffle it could have discharged. That 28 00:02:01,080 --> 00:02:05,760 Speaker 2: has nothing to do with any criminal activity, but it 29 00:02:05,840 --> 00:02:08,200 Speaker 2: certainly may have something to do in a wrongful death 30 00:02:08,280 --> 00:02:14,919 Speaker 2: lawsuit if the family sues the agents for wrongfully killing him, 31 00:02:15,480 --> 00:02:19,080 Speaker 2: which they're entitled to do. Not only that's a civil matter, 32 00:02:19,120 --> 00:02:23,200 Speaker 2: not a criminal matter. Now, if the agents are charged 33 00:02:23,280 --> 00:02:28,040 Speaker 2: with a crime murder or manslaughter of some sort and 34 00:02:28,040 --> 00:02:30,239 Speaker 2: they're convicted, that will certainly be used in a civil 35 00:02:30,240 --> 00:02:34,520 Speaker 2: trial against them. So it really has nothing to do 36 00:02:34,560 --> 00:02:37,720 Speaker 2: with Second Amendment or anything else. It had to do 37 00:02:37,800 --> 00:02:42,560 Speaker 2: with critical thinking and how you analyze a topic, how 38 00:02:42,600 --> 00:02:46,920 Speaker 2: you analyze something, because we've got way too now. I'm 39 00:02:46,960 --> 00:02:49,360 Speaker 2: not saying you're doing this. Don't start yelling at me. 40 00:02:50,120 --> 00:02:51,959 Speaker 2: I'm not saying that you're doing that. I'm just saying 41 00:02:52,000 --> 00:02:55,639 Speaker 2: that we've got too many people on both sides. Now, 42 00:02:56,040 --> 00:03:00,239 Speaker 2: I clearly, freely admit, We'll get a neon sigh and 43 00:03:00,280 --> 00:03:03,160 Speaker 2: put it up. Michael Brown is a right wing nut job. 44 00:03:03,800 --> 00:03:08,560 Speaker 2: Michael Brown is a conservative. Michael Brown votes Republican and 45 00:03:08,600 --> 00:03:12,520 Speaker 2: hates Republicans at the same same time. That you want 46 00:03:12,560 --> 00:03:15,760 Speaker 2: to get in my mind sometime, Yes, because I know 47 00:03:15,880 --> 00:03:18,840 Speaker 2: that when everything gets done and we finally get to 48 00:03:18,880 --> 00:03:21,600 Speaker 2: a general election and all the fights over, I've got 49 00:03:21,600 --> 00:03:25,680 Speaker 2: a choice of two coalitions, and one coalition has been 50 00:03:25,680 --> 00:03:28,519 Speaker 2: taken over by Marxists, so I am not going to 51 00:03:28,600 --> 00:03:31,120 Speaker 2: vote for them. And the coalition that I am going 52 00:03:31,200 --> 00:03:34,640 Speaker 2: to vote for might have a dumbass as the nominee, 53 00:03:34,960 --> 00:03:37,200 Speaker 2: but unfortunately, I'm going to vote for a dumb ass 54 00:03:37,320 --> 00:03:41,480 Speaker 2: over a Marxist. Now, a dumb ass doesn't necestally mean 55 00:03:41,520 --> 00:03:44,560 Speaker 2: they're a Marxist, but a Marxist necessarily means they are 56 00:03:44,600 --> 00:03:47,040 Speaker 2: a dumbass. So I'm going to vote for the Republican, 57 00:03:47,080 --> 00:03:47,760 Speaker 2: not the Democrat. 58 00:03:48,880 --> 00:03:49,840 Speaker 3: I just. 59 00:03:52,120 --> 00:03:55,120 Speaker 2: If I do anything. Yes, I like to talk about topics, 60 00:03:55,160 --> 00:03:57,920 Speaker 2: and I like to talk about the events of the 61 00:03:58,000 --> 00:04:01,760 Speaker 2: day and to analyze them and tell you from my experience, 62 00:04:02,240 --> 00:04:07,520 Speaker 2: which very very in fact, I'm not sure I don't 63 00:04:07,560 --> 00:04:09,640 Speaker 2: really think about this, but I'm not really sure there's 64 00:04:09,640 --> 00:04:12,000 Speaker 2: anyone in radio that has the experience that I have, 65 00:04:12,600 --> 00:04:16,520 Speaker 2: and so mine comes from an experience will I think 66 00:04:16,560 --> 00:04:19,880 Speaker 2: I can safely say this, other than maybe someone who 67 00:04:19,960 --> 00:04:21,880 Speaker 2: used to be in the Senate, well or Ted Cruise. 68 00:04:21,920 --> 00:04:24,760 Speaker 2: You know Ted Cruise has got his podcast. Well, that's great, 69 00:04:24,800 --> 00:04:27,320 Speaker 2: you got a podcast. You don't have a live radio 70 00:04:27,400 --> 00:04:31,560 Speaker 2: broadcast that you do six days a week. So other 71 00:04:31,640 --> 00:04:35,200 Speaker 2: than like a Ted Cruz, who may you know, or 72 00:04:35,240 --> 00:04:38,080 Speaker 2: somebody else that might have retired from Congress and gone 73 00:04:38,080 --> 00:04:41,480 Speaker 2: on to do a radio program, there's nobody that has 74 00:04:41,520 --> 00:04:45,480 Speaker 2: this experience, not at the level I was at. So 75 00:04:45,520 --> 00:04:49,359 Speaker 2: when you're when you're in the president's cabinet, that's something 76 00:04:49,360 --> 00:04:52,280 Speaker 2: that I don't think any other host can claim. If 77 00:04:52,279 --> 00:04:55,279 Speaker 2: I'm wrong, somebody pointed out, and I won't say that anymore, 78 00:04:56,040 --> 00:04:58,880 Speaker 2: or you might tell me, we'll go find out for yourself. 79 00:04:59,200 --> 00:05:03,080 Speaker 2: So maybe I'll do that. Let's talk about the census 80 00:05:03,120 --> 00:05:07,680 Speaker 2: for a moment, because in this age that we live in, 81 00:05:08,520 --> 00:05:12,880 Speaker 2: where you've got lies, if you're swimming, if you are 82 00:05:12,960 --> 00:05:17,040 Speaker 2: like I often am, swimming upstream with the truth, it 83 00:05:17,120 --> 00:05:20,960 Speaker 2: really is so hard that it sometimes becomes really easy 84 00:05:21,000 --> 00:05:24,480 Speaker 2: to fall into passing around half truths and shortcuts, which 85 00:05:24,560 --> 00:05:27,880 Speaker 2: then become full blown conspiracy theories, which threatens the credibility 86 00:05:27,920 --> 00:05:31,880 Speaker 2: of anybody's associated with those. That's one reason sometimes I 87 00:05:32,480 --> 00:05:35,960 Speaker 2: sit still and quiet waiting for more information, particularly when 88 00:05:36,000 --> 00:05:37,800 Speaker 2: a big story comes out. Now there may be something 89 00:05:37,839 --> 00:05:40,400 Speaker 2: in the big story that breaks that at the very 90 00:05:40,440 --> 00:05:44,000 Speaker 2: surface level. I think is important to help you and 91 00:05:44,080 --> 00:05:47,640 Speaker 2: help me for that matter, because here's a dirty little secret. 92 00:05:50,080 --> 00:05:53,799 Speaker 2: What I do on air is probably what I would 93 00:05:53,800 --> 00:05:56,400 Speaker 2: be doing even if I did not have a radio program, 94 00:05:57,279 --> 00:05:59,040 Speaker 2: because having been in that. 95 00:05:58,960 --> 00:06:01,159 Speaker 3: World that I lived in and for almost six years, 96 00:06:01,920 --> 00:06:02,480 Speaker 3: I look at the. 97 00:06:02,400 --> 00:06:05,680 Speaker 2: World entirely different because I know that even the good 98 00:06:05,680 --> 00:06:07,880 Speaker 2: guys lie, and I know that even the good guys 99 00:06:07,880 --> 00:06:11,560 Speaker 2: sometimes have ulterior motives, and I know that things are 100 00:06:11,600 --> 00:06:13,800 Speaker 2: not always the way they seem. And I certainly understand, 101 00:06:13,839 --> 00:06:17,120 Speaker 2: which I think you understand too, that what the cabal 102 00:06:17,240 --> 00:06:21,599 Speaker 2: presents us, even Fox News at times. I watch Fox 103 00:06:21,640 --> 00:06:24,960 Speaker 2: News sometimes and I go, oh, come on, guys, get real. 104 00:06:25,560 --> 00:06:27,840 Speaker 2: You're putting so much spin on it. I feel like 105 00:06:27,839 --> 00:06:30,360 Speaker 2: I need to go take a shower. If you're gonna 106 00:06:30,400 --> 00:06:32,680 Speaker 2: if you're gonna if your slogan is gonna be we 107 00:06:32,839 --> 00:06:37,520 Speaker 2: report you decide, then make sure you announce at the 108 00:06:37,560 --> 00:06:40,400 Speaker 2: beginning of every program, hey, this is a news program, 109 00:06:40,760 --> 00:06:43,000 Speaker 2: and then stick to your news. And if you're going 110 00:06:43,080 --> 00:06:44,960 Speaker 2: to go to an individual and that's going to be 111 00:06:45,000 --> 00:06:48,839 Speaker 2: an opinion program, then you know, have some tiron up 112 00:06:48,880 --> 00:06:51,599 Speaker 2: there says this is the opinion of the host, not 113 00:06:51,640 --> 00:06:55,080 Speaker 2: necessarily that of management or something. Do you think everybody 114 00:06:55,080 --> 00:06:57,920 Speaker 2: down the hallway agrees with what I say? I can 115 00:06:57,960 --> 00:06:59,880 Speaker 2: tell you for a fact that half the people down 116 00:06:59,880 --> 00:07:04,600 Speaker 2: the hallway don't agree with what I say, but they 117 00:07:04,720 --> 00:07:07,479 Speaker 2: liked the way that I do. It is it draws 118 00:07:07,520 --> 00:07:12,280 Speaker 2: a huge audience. But that's why I do sit still. 119 00:07:12,320 --> 00:07:16,320 Speaker 2: And I've said before in my pos and my pile 120 00:07:16,360 --> 00:07:17,520 Speaker 2: of stuff, there are. 121 00:07:17,440 --> 00:07:20,400 Speaker 3: Stories that I'm just itching to do, but. 122 00:07:20,240 --> 00:07:22,240 Speaker 2: My gut tells me, wait, there's something else coming on. 123 00:07:22,640 --> 00:07:25,320 Speaker 2: So let's wait a little bit. Now, we all know 124 00:07:25,360 --> 00:07:29,160 Speaker 2: that the best conspiracies not conspiracy theories. The best conspiracies 125 00:07:29,720 --> 00:07:33,040 Speaker 2: are the ones in which the bad actors admit to 126 00:07:33,080 --> 00:07:36,160 Speaker 2: the conspiracy. And I think we're beginning to find out 127 00:07:36,200 --> 00:07:38,880 Speaker 2: that that's true with the twenty twenty United States Census, 128 00:07:39,200 --> 00:07:42,160 Speaker 2: which the Census Bureau itself. 129 00:07:41,640 --> 00:07:43,040 Speaker 3: Admitted that they botched. 130 00:07:45,960 --> 00:07:49,880 Speaker 2: Based on my research, probably at least sixteen electoral votes 131 00:07:50,280 --> 00:07:54,880 Speaker 2: met electoral votes were swung by the twenty twenty Census, 132 00:07:55,360 --> 00:07:59,520 Speaker 2: which costs republic As maybe that many House of Representatives. Concurrently, 133 00:08:00,000 --> 00:08:04,360 Speaker 2: he could have maybe sixteen additional Republican congressman, but for 134 00:08:04,440 --> 00:08:06,760 Speaker 2: the Census. 135 00:08:08,640 --> 00:08:12,920 Speaker 3: Realizing he was going to get canned. 136 00:08:13,800 --> 00:08:17,280 Speaker 2: Amidst all the Republicans talking about this very issue in 137 00:08:17,320 --> 00:08:22,040 Speaker 2: the opening weeks of Trump's second term, Robert Santos quietly 138 00:08:22,080 --> 00:08:25,680 Speaker 2: dissed his position as the director of the Census and 139 00:08:25,720 --> 00:08:26,080 Speaker 2: got the. 140 00:08:26,000 --> 00:08:26,800 Speaker 3: Hell out of dodge. 141 00:08:27,760 --> 00:08:34,199 Speaker 2: President Trump launched an internal census recount of different states, 142 00:08:34,960 --> 00:08:37,760 Speaker 2: which would require substantial actions to be of any use 143 00:08:37,800 --> 00:08:43,440 Speaker 2: before twenty thirty two, and yesterday the Census Bureau released 144 00:08:43,440 --> 00:08:49,840 Speaker 2: its annual population estimates the American Redistricting Project, which you 145 00:08:49,880 --> 00:08:57,400 Speaker 2: can find on x at ameer redistrict the American Redistricting Project. 146 00:08:58,640 --> 00:09:03,520 Speaker 2: They're twenty thirty of portion forecast. Texas up for Florida, 147 00:09:03,920 --> 00:09:08,640 Speaker 2: Republican Texas up for Florida up to Aarozona, Georgia, Idaho, 148 00:09:08,800 --> 00:09:14,359 Speaker 2: North Carolina, Utah all up one. California minus four, Illinois, Minnesota, 149 00:09:14,360 --> 00:09:17,120 Speaker 2: New York, Oregon, Pennsylvania, Rhad Island, Wisconsin all down one 150 00:09:17,880 --> 00:09:21,959 Speaker 2: espe basally on the twenty twenty five census population estimates 151 00:09:22,000 --> 00:09:27,280 Speaker 2: that were released yesterday. So then what about apportionment, Because 152 00:09:27,320 --> 00:09:29,640 Speaker 2: you have two you have you have two functions. You 153 00:09:29,640 --> 00:09:32,959 Speaker 2: have the census which counts, and I know it counts 154 00:09:33,040 --> 00:09:37,080 Speaker 2: every every living human you know in the country, which 155 00:09:37,120 --> 00:09:38,920 Speaker 2: I think is wrong. If you want to count every 156 00:09:39,000 --> 00:09:42,320 Speaker 2: human person, every human being in the country, that's fine. 157 00:09:42,400 --> 00:09:44,839 Speaker 2: Counts those numbers and then give me the number of 158 00:09:45,360 --> 00:09:55,080 Speaker 2: citizens living here. Citizens. Well, the twenty thirty apportionment forecast 159 00:09:56,720 --> 00:09:59,959 Speaker 2: is really kind of eye popping, and I'm not sure 160 00:10:00,080 --> 00:10:04,920 Speaker 2: they even tell the entire story. At the surface, it 161 00:10:05,080 --> 00:10:08,760 Speaker 2: spells that there is a coming decline for Democrats that 162 00:10:08,960 --> 00:10:12,680 Speaker 2: may already be fairly compelling, and one which could be 163 00:10:12,800 --> 00:10:18,360 Speaker 2: fatal if legitimate election reforms actually happen. So here are 164 00:10:18,400 --> 00:10:22,239 Speaker 2: a few key takeaways of the twenty twenty five population 165 00:10:22,679 --> 00:10:26,640 Speaker 2: estimates and what if they are sustained. These are kind 166 00:10:26,679 --> 00:10:29,480 Speaker 2: of like jobs numbers if they don't get revised, which 167 00:10:29,520 --> 00:10:32,440 Speaker 2: they may or may not. What these twenty twenty five 168 00:10:32,520 --> 00:10:39,960 Speaker 2: numbers might mean for electoral apportionment come twenty thirty. All 169 00:10:40,120 --> 00:10:45,720 Speaker 2: seven states that are slated to gain electoral votes, those 170 00:10:45,760 --> 00:10:48,840 Speaker 2: were carried by Trump in the twenty twenty four election. 171 00:10:50,160 --> 00:10:53,400 Speaker 2: So the ones that are expected to gain based on 172 00:10:53,480 --> 00:10:58,679 Speaker 2: the new population estimates what that means for electoral college 173 00:10:59,480 --> 00:11:03,800 Speaker 2: and can national seat apportionment. The seven seats that are 174 00:11:03,800 --> 00:11:06,960 Speaker 2: going to gain electoral votes were won by Trump in 175 00:11:07,000 --> 00:11:11,440 Speaker 2: twenty twenty four. Those seven states stand to gain a 176 00:11:11,559 --> 00:11:13,960 Speaker 2: total of eleven electoral votes. 177 00:11:15,160 --> 00:11:16,640 Speaker 3: So add eleven to his total. 178 00:11:18,040 --> 00:11:19,800 Speaker 2: I mean, I know he won't be running, but add 179 00:11:19,840 --> 00:11:21,480 Speaker 2: eleven to the Republican column. 180 00:11:22,200 --> 00:11:23,400 Speaker 3: Now eight states. 181 00:11:24,320 --> 00:11:27,560 Speaker 2: Again, this is according to the twenty twenty five preliminary estimate. 182 00:11:28,679 --> 00:11:36,880 Speaker 2: Eight states can lose electoral votes two Pennsylvania and Wisconsin, 183 00:11:37,760 --> 00:11:39,320 Speaker 2: both of those were won by Trump. 184 00:11:40,400 --> 00:11:41,480 Speaker 3: Now, Trump would. 185 00:11:41,280 --> 00:11:46,360 Speaker 2: Have won the last election in twenty twenty four by 186 00:11:46,400 --> 00:11:48,160 Speaker 2: a three hundred and twenty one to two hundred and 187 00:11:48,160 --> 00:11:52,160 Speaker 2: seventeen margin in the electoral college, which would have been 188 00:11:52,200 --> 00:11:57,800 Speaker 2: for a net swing of eighteen electoral votes. So you 189 00:11:57,840 --> 00:12:01,360 Speaker 2: take into account the seven will gain the eight that 190 00:12:01,440 --> 00:12:05,280 Speaker 2: will lose. Trump won all seven they're going to gain. 191 00:12:06,320 --> 00:12:09,800 Speaker 2: The eight they're going to lose include Pennsylvania and Wisconsin, 192 00:12:10,240 --> 00:12:13,920 Speaker 2: both of which he flipped, and they're actually going to 193 00:12:13,960 --> 00:12:20,400 Speaker 2: lose and probably make those states even stronger. Now, Texas 194 00:12:21,200 --> 00:12:25,160 Speaker 2: is said to increase its electoral apportionment by ten percent. 195 00:12:25,200 --> 00:12:30,720 Speaker 2: They'll move from forty congressman forty four seats to forty 196 00:12:30,720 --> 00:12:35,800 Speaker 2: four seats. Ford is moving up to electors. But because 197 00:12:35,840 --> 00:12:39,240 Speaker 2: of their continued population growth, the rate of their growth, 198 00:12:40,040 --> 00:12:42,520 Speaker 2: that may actually continue to expand. So that's a number 199 00:12:42,520 --> 00:12:45,480 Speaker 2: that my guess is probably will get revised as we 200 00:12:45,520 --> 00:12:47,880 Speaker 2: get further into twenty twenty six and twenty twenty seven. 201 00:12:49,200 --> 00:12:52,640 Speaker 2: So let's think about the changes the fifteen states. What's 202 00:12:52,679 --> 00:12:57,600 Speaker 2: causing that change. It's mostly driven by migration away from 203 00:12:57,840 --> 00:13:02,959 Speaker 2: blue states and toward red stone. That's the most telling 204 00:13:03,240 --> 00:13:11,280 Speaker 2: indicator that are you ready the Democrat vision has currently articulated. 205 00:13:12,240 --> 00:13:15,680 Speaker 2: They remember, they did an autopsy on the twenty twenty 206 00:13:15,720 --> 00:13:21,040 Speaker 2: four election that's been burned in a fireplace down on 207 00:13:21,240 --> 00:13:23,960 Speaker 2: First Street where the Democrat National Committee is located. 208 00:13:24,559 --> 00:13:27,800 Speaker 3: They don't want anybody to see that. 209 00:13:27,800 --> 00:13:32,400 Speaker 2: That's the most telling indicator that whatever that vision might be, 210 00:13:33,120 --> 00:13:36,600 Speaker 2: whatever they whatever their autopsy showed, must be pretty bad. 211 00:13:38,320 --> 00:13:40,440 Speaker 2: And in fact, I don't I don't see how this 212 00:13:40,559 --> 00:13:45,800 Speaker 2: isn't disqualifying for someone like Gavin Newsom's presidential ambitions outright, 213 00:13:46,480 --> 00:13:49,680 Speaker 2: But let's be realistic. He's going to have the cabal 214 00:13:49,760 --> 00:13:51,840 Speaker 2: at his back, and they're going to try to draw 215 00:13:51,840 --> 00:13:53,640 Speaker 2: the attention of the people away from what should be 216 00:13:53,640 --> 00:13:56,800 Speaker 2: obvious to them, and that is, namely, that Democrats cannot 217 00:13:56,960 --> 00:14:00,960 Speaker 2: survive without rigging their own state election and doing everything 218 00:14:01,000 --> 00:14:04,280 Speaker 2: they can to ensure that illegal aliens prop up their 219 00:14:04,360 --> 00:14:10,560 Speaker 2: population numbers. Oh, maybe that's why we're seeing an insurgency. 220 00:14:11,760 --> 00:14:15,080 Speaker 2: Maybe that's why we're starting to see all of the 221 00:14:15,160 --> 00:14:17,880 Speaker 2: riots and all the organization. I mean, when you have 222 00:14:17,960 --> 00:14:22,680 Speaker 2: a group take Minneapolis again with all the signal chats, 223 00:14:23,880 --> 00:14:28,040 Speaker 2: if it's true the lieutenant governors involved, you may now 224 00:14:28,120 --> 00:14:31,000 Speaker 2: understand why Tim Walls decides it's time to call Donald 225 00:14:31,040 --> 00:14:33,960 Speaker 2: Trump and say, hey, I'd like to cooperate. But set 226 00:14:34,000 --> 00:14:37,160 Speaker 2: that aside for a moment. In those signal chats, as 227 00:14:37,200 --> 00:14:40,280 Speaker 2: I pointed out earlier this week, you had a command 228 00:14:40,280 --> 00:14:44,360 Speaker 2: and control structure. You had a funding structure, you had 229 00:14:44,400 --> 00:14:48,040 Speaker 2: a logistical structure. You had a structure by which you 230 00:14:48,120 --> 00:14:55,120 Speaker 2: could distribute whatever needs to be distributed. Gas masks you know, batons, what, 231 00:14:55,360 --> 00:14:58,320 Speaker 2: you know, whatever they were going to use to fight 232 00:14:58,400 --> 00:14:59,400 Speaker 2: the ICE agents. 233 00:15:00,080 --> 00:15:01,160 Speaker 3: That's an insurgency. 234 00:15:01,280 --> 00:15:06,760 Speaker 2: It was an organized insurgency, and I think that these 235 00:15:07,000 --> 00:15:14,280 Speaker 2: numbers indicate that that's why they're so panic stricken. Now, 236 00:15:14,320 --> 00:15:17,040 Speaker 2: out of all these states that appear to be gaining 237 00:15:17,400 --> 00:15:22,840 Speaker 2: electoral votes, I would assume only Texas would suffer if 238 00:15:23,240 --> 00:15:27,200 Speaker 2: all illegal aliens were deducted from their population total. 239 00:15:28,080 --> 00:15:29,800 Speaker 3: But still there. 240 00:15:29,600 --> 00:15:34,120 Speaker 2: May be enough citizen migration to Texas to keep Texas 241 00:15:34,240 --> 00:15:39,960 Speaker 2: growth pretty steady. But California has an estimated two point 242 00:15:39,960 --> 00:15:45,880 Speaker 2: three million illegals and a net outbound migration of actual 243 00:15:46,000 --> 00:15:50,640 Speaker 2: US citizens. So the twenty twenty five estimates for California 244 00:15:51,520 --> 00:15:55,000 Speaker 2: thirty nine point four million residents. If you deduct six 245 00:15:55,080 --> 00:16:00,000 Speaker 2: percent of California's expected fifty electoral votes in twenty thirty 246 00:16:00,480 --> 00:16:03,480 Speaker 2: and you do that by removing all illegal aliens and 247 00:16:03,560 --> 00:16:05,680 Speaker 2: you know, you purge and clean up the voter rolls, 248 00:16:05,920 --> 00:16:09,880 Speaker 2: that might cost them actually three more electoral votes. And 249 00:16:10,000 --> 00:16:13,640 Speaker 2: that might cost states like Nevada, Montana, or Tennessee where 250 00:16:13,680 --> 00:16:17,680 Speaker 2: people are moving two to actually start to gain. So 251 00:16:17,840 --> 00:16:22,920 Speaker 2: that is why it is essential for blue states not 252 00:16:23,080 --> 00:16:27,680 Speaker 2: to comply with federal immigration enforcement efforts, and asides from 253 00:16:27,680 --> 00:16:30,400 Speaker 2: the demands of any color revolution that really might be 254 00:16:30,440 --> 00:16:34,280 Speaker 2: going on inside the country, at least one reason Minnesota 255 00:16:34,400 --> 00:16:38,360 Speaker 2: is all in on being the tip of a spear 256 00:16:40,480 --> 00:16:46,680 Speaker 2: is the electoral implications the current You know, you if 257 00:16:46,720 --> 00:16:51,200 Speaker 2: you go back to the twenty four election, remember the 258 00:16:51,280 --> 00:16:54,880 Speaker 2: two seventy to win charts that you would always see, 259 00:16:55,440 --> 00:16:57,640 Speaker 2: and it was you know, it would be blue on 260 00:16:57,720 --> 00:17:02,320 Speaker 2: one side, and then you know the so you would 261 00:17:02,360 --> 00:17:05,240 Speaker 2: have out of two seventy, you need two hundred seventy 262 00:17:05,240 --> 00:17:08,920 Speaker 2: electoral votes to win electoral college and gain the presidency, 263 00:17:10,000 --> 00:17:13,320 Speaker 2: and the charts would show two seventy to win, and 264 00:17:13,359 --> 00:17:15,879 Speaker 2: they would have that divided up by red and blue, 265 00:17:16,920 --> 00:17:19,800 Speaker 2: and the red would be deep red on the far right, 266 00:17:19,960 --> 00:17:22,280 Speaker 2: blue would be deep blue on the far left, and 267 00:17:22,400 --> 00:17:25,080 Speaker 2: as you got to the middle where the two seventy was, 268 00:17:25,640 --> 00:17:30,600 Speaker 2: those numbers and those margins would start to shrink. Well, 269 00:17:30,640 --> 00:17:35,359 Speaker 2: the current two seventy to win consensus for the twenty 270 00:17:35,440 --> 00:17:41,360 Speaker 2: twenty six House race looks like this. Democrats are currently 271 00:17:41,480 --> 00:17:46,440 Speaker 2: at around two ten taking all and Republicans at two 272 00:17:46,520 --> 00:17:47,080 Speaker 2: oh six. 273 00:17:48,760 --> 00:17:53,760 Speaker 3: There's nineteen toss ups, nineteen toss ups. Next president Trump 274 00:17:53,920 --> 00:17:57,399 Speaker 3: just posted this S and P five hundred hit seven 275 00:17:57,480 --> 00:18:01,159 Speaker 3: thousand for the first time ever, America. 276 00:18:00,720 --> 00:18:01,520 Speaker 1: Is back. 277 00:18:03,960 --> 00:18:08,440 Speaker 2: Having my pos a story about growth and how growth 278 00:18:08,680 --> 00:18:11,320 Speaker 2: is now making a comeback. 279 00:18:11,320 --> 00:18:12,960 Speaker 3: I'm gonna try to get to that, but I can't 280 00:18:12,960 --> 00:18:13,560 Speaker 3: resist this. 281 00:18:14,280 --> 00:18:16,359 Speaker 2: Can we do a little nostalgia for a second before 282 00:18:16,359 --> 00:18:17,760 Speaker 2: we get back to the census? 283 00:18:18,680 --> 00:18:19,159 Speaker 3: So I don't know. 284 00:18:19,320 --> 00:18:21,520 Speaker 2: Dragon was ragging on me about something. He was telling 285 00:18:21,520 --> 00:18:23,199 Speaker 2: me how it was all wrong about something, and of 286 00:18:23,200 --> 00:18:26,080 Speaker 2: course I was ignoring him, and I said, well, that's fine, 287 00:18:26,080 --> 00:18:30,080 Speaker 2: because I'm never going to take you back to Panda Express. Instead, 288 00:18:30,080 --> 00:18:31,640 Speaker 2: I'm going to buy you. And I could not think 289 00:18:31,680 --> 00:18:36,919 Speaker 2: of the name, but it was like a delicacy in 290 00:18:36,960 --> 00:18:43,080 Speaker 2: our home. Chung King, Dragon, Go look it up. Just 291 00:18:43,200 --> 00:18:51,399 Speaker 2: google Chun Chun, separate word king. I'm only reading the blurb, 292 00:18:51,520 --> 00:18:55,000 Speaker 2: the first blurb from Wikipedia. Chung King was an American 293 00:18:55,040 --> 00:18:58,840 Speaker 2: brand of canned Chinese food products founded in the nineteen 294 00:18:59,040 --> 00:19:03,440 Speaker 2: forties by g. Polucci, whose company also developed Gino's Pizza 295 00:19:03,520 --> 00:19:07,800 Speaker 2: Roles and frozen pizza and the Mischelina's brand of frozen 296 00:19:07,800 --> 00:19:14,960 Speaker 2: food products, among many others. It was awful. Now at 297 00:19:15,000 --> 00:19:17,879 Speaker 2: the time, I didn't know it was awful. But and 298 00:19:17,960 --> 00:19:20,160 Speaker 2: for my mom, it was like an easy dish because 299 00:19:20,200 --> 00:19:22,520 Speaker 2: you know, you open up, you know, get the can, 300 00:19:22,520 --> 00:19:26,560 Speaker 2: open open up the can of loachlmaine or whatever it was, 301 00:19:27,080 --> 00:19:29,119 Speaker 2: cawmine noodles, heat it up, and. 302 00:19:29,119 --> 00:19:30,280 Speaker 3: Then pour it over some rice. 303 00:19:30,400 --> 00:19:33,159 Speaker 2: Look, kids, we're having Chinese tonight, and we'd be like 304 00:19:33,200 --> 00:19:33,920 Speaker 2: so excited. 305 00:19:34,800 --> 00:19:35,560 Speaker 3: So Dragon, I. 306 00:19:35,520 --> 00:19:39,640 Speaker 2: Think Panda Express is not at the bottom of the wrung. 307 00:19:40,200 --> 00:19:41,800 Speaker 2: If that is, you can still get Chunk King. 308 00:19:42,600 --> 00:19:45,159 Speaker 4: I'm gonna have to work on this to cut this 309 00:19:45,200 --> 00:19:47,560 Speaker 4: out of the podcast, but I'll put this video up 310 00:19:47,560 --> 00:19:49,520 Speaker 4: on Michael says, go here dot cong But here's a 311 00:19:49,800 --> 00:19:53,360 Speaker 4: nineteen seventy nine commercial for chun King. 312 00:19:54,240 --> 00:19:58,720 Speaker 3: If you want good tastes from the good Earth, right huh? Yep? Sure? 313 00:19:58,960 --> 00:20:01,440 Speaker 2: And does it show a wearing a dress and a 314 00:20:01,560 --> 00:20:04,320 Speaker 2: nice blouse and pearls, you know, putting it on the 315 00:20:04,359 --> 00:20:06,640 Speaker 2: table for you know, like and leave it to beaver 316 00:20:06,760 --> 00:20:07,199 Speaker 2: or something. 317 00:20:07,359 --> 00:20:09,639 Speaker 4: It's it's got some a little bit, yeah, in the 318 00:20:09,720 --> 00:20:11,600 Speaker 4: very beginning, but it's just got you know, the can, 319 00:20:11,960 --> 00:20:13,000 Speaker 4: like the microwave meals. 320 00:20:13,040 --> 00:20:16,440 Speaker 3: Does it show the food? Does it look delicious? Oh? Yeah? 321 00:20:16,760 --> 00:20:20,280 Speaker 3: Yeah yeah? Is it still available? Can you tell I 322 00:20:20,280 --> 00:20:22,719 Speaker 3: have no idea. I have no idea. I could make 323 00:20:22,760 --> 00:20:24,560 Speaker 3: a trip to King Supers or Safeway today. 324 00:20:24,680 --> 00:20:26,480 Speaker 2: I know I won't get it the whole paycheck, and 325 00:20:26,520 --> 00:20:28,000 Speaker 2: I don't know I want to get it at Sprouts 326 00:20:28,080 --> 00:20:30,879 Speaker 2: or Trader Joe's. But maybe King Supers are Safeway might 327 00:20:30,960 --> 00:20:36,159 Speaker 2: still carry Chung King. If it's still I'm guessing not 328 00:20:37,200 --> 00:20:40,200 Speaker 2: because of the way this is because says Chun King 329 00:20:40,800 --> 00:20:45,679 Speaker 2: was an American brand of canned Chinese food product. I 330 00:20:45,760 --> 00:20:50,240 Speaker 2: like that too, canned Chinese food product. See this is 331 00:20:50,280 --> 00:20:52,680 Speaker 2: how you this is how you dissect the sentence. Kids, 332 00:20:52,840 --> 00:20:56,640 Speaker 2: This is how you critically think it was a brand 333 00:20:56,880 --> 00:20:59,600 Speaker 2: of canned Chinese food. 334 00:20:59,640 --> 00:21:03,040 Speaker 4: Pradus similar to the processed cheese food. 335 00:21:03,320 --> 00:21:05,280 Speaker 2: Yeah, like the single cheese things that you know, the 336 00:21:05,320 --> 00:21:07,240 Speaker 2: plastic comes, the plastic cheese that comes. 337 00:21:07,119 --> 00:21:08,040 Speaker 3: To the plastic wrapper. 338 00:21:08,400 --> 00:21:11,640 Speaker 2: But the best part was my mom, bless my mom's heart. Now, 339 00:21:11,840 --> 00:21:15,159 Speaker 2: at the time that pub, you know, I doubt there 340 00:21:15,160 --> 00:21:18,399 Speaker 2: was a Chinese restaurant in my hometown. So that was 341 00:21:18,440 --> 00:21:20,280 Speaker 2: that was pretty exotic. We're gonna say it for having 342 00:21:20,320 --> 00:21:23,320 Speaker 2: Chinese food tonight. Yeah, we're gonna have. We're gonna have. 343 00:21:23,600 --> 00:21:27,880 Speaker 2: In fact, this shows Chow Main noodles and then they 344 00:21:27,880 --> 00:21:31,440 Speaker 2: have frozen shrimp egg rolls. I do remember the shrimp 345 00:21:31,480 --> 00:21:36,720 Speaker 2: egg rolls too. They were they weren't exactly yeah, you know, 346 00:21:36,960 --> 00:21:42,240 Speaker 2: they weren't. They chunk king. So next time, missus Redbeard 347 00:21:42,520 --> 00:21:45,000 Speaker 2: must have got to Panda Express. Give me a call, 348 00:21:45,160 --> 00:21:46,920 Speaker 2: see if I got some chunk king on the hand, 349 00:21:47,000 --> 00:21:51,480 Speaker 2: and we'll do chun king. There's no stautia for the day. 350 00:21:51,600 --> 00:21:54,800 Speaker 2: Holy crap ola, Let's go back to two seventy to 351 00:21:54,840 --> 00:22:02,120 Speaker 2: win two hundred and six Republican seats, nineteen toss ups. 352 00:22:02,480 --> 00:22:11,119 Speaker 2: That's how that ribbon of blue to red looks right now. Now, 353 00:22:11,160 --> 00:22:13,960 Speaker 2: of course, some of those in the light red, you 354 00:22:14,000 --> 00:22:18,919 Speaker 2: know swing states, maybe you know state seats that are 355 00:22:18,960 --> 00:22:24,200 Speaker 2: potentially going to be challenged or are marginal or the 356 00:22:24,280 --> 00:22:29,440 Speaker 2: light blue, they really might become playable. But nine months 357 00:22:29,840 --> 00:22:33,760 Speaker 2: is a long time in politics. But imagine nine more 358 00:22:33,800 --> 00:22:37,200 Speaker 2: Republican seats net, including a loss of electoral votes in 359 00:22:37,200 --> 00:22:41,200 Speaker 2: Pennsylvania Wisconsin. Republicans would be sitting at two hundred and 360 00:22:41,200 --> 00:22:45,400 Speaker 2: fifteen right now. It would only need to convert three 361 00:22:45,560 --> 00:22:50,720 Speaker 2: of nineteen toss up seats to hold on to that majority. Yes, 362 00:22:51,160 --> 00:22:55,360 Speaker 2: a striking of Section two of the voting rights back 363 00:22:55,400 --> 00:22:58,879 Speaker 2: to nineteen sixty five, and add all to that, a 364 00:22:58,960 --> 00:23:02,680 Speaker 2: few smart jerry could put Republicans out a majority going 365 00:23:02,720 --> 00:23:05,399 Speaker 2: into any national race like we have in red states 366 00:23:05,400 --> 00:23:08,119 Speaker 2: with a composition of their legislatures. But how about the 367 00:23:08,119 --> 00:23:14,080 Speaker 2: electoral college. A twenty twenty four or forecast designated all 368 00:23:14,160 --> 00:23:17,879 Speaker 2: twenty twenty Trump states, including North Carolina, as the core 369 00:23:18,280 --> 00:23:21,480 Speaker 2: two hundred and thirty five out of the two seventy. Now, 370 00:23:21,640 --> 00:23:24,399 Speaker 2: that estimate was that those states made up the base 371 00:23:24,440 --> 00:23:28,480 Speaker 2: camp of two hundred and thirty five electoral votes with 372 00:23:28,640 --> 00:23:31,359 Speaker 2: the most direct path. Now giness is going back to 373 00:23:31,359 --> 00:23:35,160 Speaker 2: twenty twenty four, the most direct path in twenty twenty 374 00:23:35,200 --> 00:23:38,800 Speaker 2: four being the core two thirty five and then winning 375 00:23:38,880 --> 00:23:43,520 Speaker 2: Georgia and Pennsylvania. Now, given the Pennsylvania, Wisconsin, we're not 376 00:23:43,720 --> 00:23:46,680 Speaker 2: part of that court two hundred and thirty five electoral 377 00:23:46,800 --> 00:23:48,000 Speaker 2: votes were. 378 00:23:48,160 --> 00:23:50,280 Speaker 3: Now because of this change in the. 379 00:23:50,320 --> 00:23:53,800 Speaker 2: Census, we're now talking about a core to forty four. 380 00:23:54,400 --> 00:23:59,400 Speaker 2: If you factory in gains in Texas, Florida, Idaho, North Carolina, 381 00:23:59,440 --> 00:24:04,080 Speaker 2: and Utah, now you've got a core to forty four 382 00:24:04,960 --> 00:24:11,520 Speaker 2: to get to two seventy. That's only twenty six more. Now, 383 00:24:11,560 --> 00:24:14,479 Speaker 2: I don't think any state in the new core two 384 00:24:14,520 --> 00:24:18,520 Speaker 2: one hundred and forty four backing a Democrat for president 385 00:24:18,840 --> 00:24:21,680 Speaker 2: in the short term. But that brings us to some 386 00:24:21,800 --> 00:24:25,640 Speaker 2: scenarios for a presidential victory. You take the core to 387 00:24:25,680 --> 00:24:29,239 Speaker 2: forty four. Now, let's just add in Georgia because they 388 00:24:29,240 --> 00:24:33,480 Speaker 2: were originally in Georgia at seventeen, Arizona at twelve, which 389 00:24:33,480 --> 00:24:35,600 Speaker 2: I think is very realistic. You got to two hundred 390 00:24:35,600 --> 00:24:38,960 Speaker 2: and seventy three votes and you win, or take the 391 00:24:39,000 --> 00:24:42,160 Speaker 2: two one hundred and forty four corps at Georgia again 392 00:24:42,200 --> 00:24:45,879 Speaker 2: at seventeen, and because of the drop off of Wisconsin, 393 00:24:45,920 --> 00:24:49,440 Speaker 2: you add Wisconsin back in. Now you're at two seventy. 394 00:24:51,960 --> 00:24:56,480 Speaker 2: Without electoral reform, I think Georgia is probably the most 395 00:24:56,480 --> 00:25:01,840 Speaker 2: serious electoral challenge going forward into the twenty twenty eight election. 396 00:25:02,760 --> 00:25:05,240 Speaker 2: But if there's a new core to forty four thanks 397 00:25:05,280 --> 00:25:09,200 Speaker 2: to the coming twenty thirty changes in the census, there 398 00:25:09,200 --> 00:25:14,400 Speaker 2: are still possibilities to win even if the Democrats smatch Georgia, 399 00:25:15,800 --> 00:25:18,480 Speaker 2: likely by twenty thirty six, barring a change you know 400 00:25:18,520 --> 00:25:22,080 Speaker 2: in demographic voting patterns and any sort of electoral you know, 401 00:25:22,119 --> 00:25:24,840 Speaker 2: any sort of voting reform. So then think about it 402 00:25:24,880 --> 00:25:28,359 Speaker 2: this way. You got the core two hundred and forty 403 00:25:28,359 --> 00:25:31,840 Speaker 2: four on your way to two seventy, and in Arizona 404 00:25:31,960 --> 00:25:36,240 Speaker 2: at twelve, Nevada at six, and then either Pennsylvania at eighteen, 405 00:25:36,320 --> 00:25:39,800 Speaker 2: Michigan at fifteen, or Wisconsin at nine, and you get 406 00:25:39,840 --> 00:25:43,080 Speaker 2: to either two eighty two seventy seven or two seventy one. 407 00:25:42,920 --> 00:25:43,360 Speaker 3: And you win. 408 00:25:44,920 --> 00:25:48,240 Speaker 2: Or take this scenario again, the core to forty four 409 00:25:48,560 --> 00:25:51,800 Speaker 2: again based on to the current estimate of the twenty 410 00:25:51,840 --> 00:25:54,800 Speaker 2: twenty five census, and if it stays pretty close to 411 00:25:54,800 --> 00:25:57,320 Speaker 2: the same by the time we do the twenty thirty census, 412 00:25:58,480 --> 00:26:01,240 Speaker 2: which will be after the election, obviously, So you have 413 00:26:01,359 --> 00:26:04,399 Speaker 2: to core two hundred and forty four electoral votes for 414 00:26:04,480 --> 00:26:09,960 Speaker 2: a Republican candidate. Add in Arizona at twelve, Pennsylvania at eighteen, 415 00:26:10,040 --> 00:26:14,200 Speaker 2: or Michigan at fifteen, and now you're beyond two seventy 416 00:26:14,560 --> 00:26:17,439 Speaker 2: at two seventy four or either two seventy one, depending 417 00:26:17,480 --> 00:26:21,600 Speaker 2: on whether you win Pennsylvania or Michigan. Or then take 418 00:26:22,520 --> 00:26:27,400 Speaker 2: what Trump did, core two forty four ad in Pennsylvania, 419 00:26:27,720 --> 00:26:33,080 Speaker 2: because remember Pennsylvania's going to lose some votes some people population. 420 00:26:34,280 --> 00:26:37,840 Speaker 2: You add in Michigan or Wisconsin, both of which are 421 00:26:38,040 --> 00:26:40,280 Speaker 2: changing and which he's going to win. 422 00:26:40,840 --> 00:26:41,440 Speaker 3: You're now at. 423 00:26:41,400 --> 00:26:44,960 Speaker 2: Two seventy seven or two seventy one again the Republican wins. 424 00:26:45,880 --> 00:26:49,440 Speaker 2: So the graduation to a core to forty four in 425 00:26:49,560 --> 00:26:52,840 Speaker 2: essence takes the pressure off Georgia to do any sort 426 00:26:52,880 --> 00:26:56,720 Speaker 2: of election reform a little bit, but it also gives 427 00:26:56,800 --> 00:27:01,000 Speaker 2: us an easy pathway to victory. But if the Republicans 428 00:27:01,000 --> 00:27:03,280 Speaker 2: in Georgia we get serious about not getting crushing in 429 00:27:03,280 --> 00:27:08,040 Speaker 2: Atlanta every cycle and holding down an increasingly Republican Arizona. 430 00:27:09,280 --> 00:27:13,840 Speaker 2: In fact, Arizona could be the next Florida. It is 431 00:27:14,040 --> 00:27:18,919 Speaker 2: clear that Democrats view the preservation of a fraudulent population total, 432 00:27:19,160 --> 00:27:23,800 Speaker 2: which includes illegal immigration, dirty incomplete, old, out of day 433 00:27:23,960 --> 00:27:27,760 Speaker 2: voter rolls, that's their life draft for them to stay 434 00:27:27,800 --> 00:27:30,280 Speaker 2: afloat in a world that is ready to kick their 435 00:27:30,320 --> 00:27:36,680 Speaker 2: ideology to the curb for good. People are recognizing the 436 00:27:36,720 --> 00:27:43,320 Speaker 2: progresses have truly overreached, which is why just to I 437 00:27:43,320 --> 00:27:45,720 Speaker 2: don't want to make this about Minnesota again, but to 438 00:27:45,760 --> 00:27:48,119 Speaker 2: go back to Minnesota for just a second, why do 439 00:27:48,160 --> 00:27:51,080 Speaker 2: you think the cabal is so focused on the riots? 440 00:27:51,320 --> 00:27:53,920 Speaker 2: And why do you think that all of the organization 441 00:27:54,080 --> 00:27:57,680 Speaker 2: in Minnesota is so focused on keeping this in the news. 442 00:27:58,040 --> 00:27:58,240 Speaker 3: One. 443 00:27:58,320 --> 00:28:01,520 Speaker 2: Yes, they want to avoid all the fraud issues, but 444 00:28:02,320 --> 00:28:05,800 Speaker 2: they don't want anybody talking about what we're talking about 445 00:28:05,880 --> 00:28:10,120 Speaker 2: right now, which is their agenda is losing. 446 00:28:10,600 --> 00:28:14,960 Speaker 3: Michael, are you kidding me? Chun King? Oh my goodness? 447 00:28:14,960 --> 00:28:18,000 Speaker 3: That was the only meal that I would not eat 448 00:28:18,119 --> 00:28:21,320 Speaker 3: at my house. It looks like dog food. It smells 449 00:28:21,359 --> 00:28:24,200 Speaker 3: like dog food. My brothers, however, would eat it up 450 00:28:24,800 --> 00:28:28,080 Speaker 3: as much as like anything else. They loved it. Oh 451 00:28:28,160 --> 00:28:30,640 Speaker 3: my goodness. I guess it must be a male thing 452 00:28:30,800 --> 00:28:32,639 Speaker 3: because I couldn't stand it. 453 00:28:35,200 --> 00:28:39,240 Speaker 4: Wow, I didn't know that people had such strong feelings 454 00:28:39,240 --> 00:28:43,640 Speaker 4: about food. From that it no longer exists. Okay, So. 455 00:28:46,120 --> 00:28:49,400 Speaker 2: Just because I get a kick out of this. So 456 00:28:49,680 --> 00:28:52,960 Speaker 2: Steve is one of our listeners. He's a retired law 457 00:28:53,000 --> 00:28:55,480 Speaker 2: enforcement officer and he actually grew up in the Banmandle too. 458 00:28:55,840 --> 00:28:58,720 Speaker 2: He says, Wow, do I remember Chung King? We had 459 00:28:58,800 --> 00:29:01,440 Speaker 2: no alternative even the handle, That's what I thought. 460 00:29:01,440 --> 00:29:02,040 Speaker 3: I don't, I don't. 461 00:29:02,160 --> 00:29:05,120 Speaker 2: I only remember like when I went off to college, 462 00:29:05,200 --> 00:29:07,960 Speaker 2: did did a Chinese family ever move in and open 463 00:29:08,000 --> 00:29:09,000 Speaker 2: a Chinese restaurant? 464 00:29:09,240 --> 00:29:09,440 Speaker 3: Right? 465 00:29:09,880 --> 00:29:13,280 Speaker 2: So, and my grandparents had the dry cleaning store. So 466 00:29:13,520 --> 00:29:16,360 Speaker 2: and they weren't Chinese either, so no agents owned the 467 00:29:16,440 --> 00:29:18,680 Speaker 2: dry cleaning stores. It was it was, you know, my 468 00:29:19,080 --> 00:29:23,280 Speaker 2: Cherokee Indian grandfather and his white trash wife, my grandparents, 469 00:29:23,280 --> 00:29:26,560 Speaker 2: and I love to love dearly or this six seven 470 00:29:26,560 --> 00:29:30,240 Speaker 2: o five rights Chun King makes Chinese food taste American, 471 00:29:31,240 --> 00:29:32,640 Speaker 2: and that's what was wrong with it. 472 00:29:34,200 --> 00:29:37,200 Speaker 3: That's exactly what was wrong with it. Mike. 473 00:29:37,280 --> 00:29:40,640 Speaker 4: Did you wash down the Chung King with arcy arcy cola? 474 00:29:41,040 --> 00:29:45,440 Speaker 2: No, because my parents gave me the real stuff. Oh yeah, yeah, yeah, 475 00:29:45,600 --> 00:29:48,600 Speaker 2: splurgs on real stuffy splurge on the real stuff. I'll 476 00:29:48,640 --> 00:29:53,080 Speaker 2: never understand why, but they did. Or sixty three thirty six. 477 00:29:53,960 --> 00:30:00,239 Speaker 2: Now I I I'm losing my lunch appetite, Like you know, 478 00:30:00,600 --> 00:30:02,920 Speaker 2: I fast in the mornings. I'm really ready for lunch 479 00:30:03,000 --> 00:30:06,800 Speaker 2: until I read sixty sixty three thirty six. Who says Mike, 480 00:30:07,320 --> 00:30:11,840 Speaker 2: I used to eat Chung King over toast like chipped beef. 481 00:30:12,840 --> 00:30:17,600 Speaker 2: Now chip beef and gravy overtoast. That was a delicacy. 482 00:30:17,440 --> 00:30:20,080 Speaker 2: Why are you shaking your head? Did you ever have 483 00:30:20,160 --> 00:30:21,200 Speaker 2: chip beef overtoast? 484 00:30:21,880 --> 00:30:23,520 Speaker 4: I mean I had, you know, my grandma made hot 485 00:30:23,520 --> 00:30:28,480 Speaker 4: dogs and over you know, wonderbread, pretty. 486 00:30:28,200 --> 00:30:28,920 Speaker 3: Much the same thing. 487 00:30:29,080 --> 00:30:31,440 Speaker 2: Just you know, it's all the same kind of content, 488 00:30:31,560 --> 00:30:34,840 Speaker 2: just a different format. Right, Yeah, it's like AMFMS it 489 00:30:34,840 --> 00:30:36,960 Speaker 2: it's all the same thing. It's it's still radio. It's 490 00:30:37,000 --> 00:30:37,920 Speaker 2: still just cramp. 491 00:30:38,040 --> 00:30:38,280 Speaker 3: Right. 492 00:30:38,480 --> 00:30:41,920 Speaker 2: But chiff beef and gravy overtoast. Oh that was so good. 493 00:30:42,760 --> 00:30:47,560 Speaker 3: But did your grandmother ever make homemade corn dogs? Now? 494 00:30:47,600 --> 00:30:49,800 Speaker 4: She made homemade meatloaf though, that was freaking. 495 00:30:49,520 --> 00:30:53,600 Speaker 2: Oh yeah, yeah, yeah, she learned that from her mother. 496 00:30:53,800 --> 00:30:56,680 Speaker 2: Early good meat loaf that my grandmother would make. And 497 00:30:56,760 --> 00:30:59,320 Speaker 2: I was fascinated by it because everyone stood how she 498 00:30:59,360 --> 00:31:00,800 Speaker 2: was quite able to do it. Do you know how 499 00:31:00,800 --> 00:31:04,320 Speaker 2: corn dogs really have the thick corn meal wrapped around it? 500 00:31:05,240 --> 00:31:08,360 Speaker 2: This wasn't like a tempura rap on her corn dogs. 501 00:31:08,440 --> 00:31:11,040 Speaker 2: It was like the real thing. I don't to this day. 502 00:31:11,440 --> 00:31:14,400 Speaker 2: All I know is I can smell, can smell the grease, 503 00:31:15,440 --> 00:31:18,280 Speaker 2: and I can taste that old corn dog coming right 504 00:31:18,280 --> 00:31:20,480 Speaker 2: out of that friar in the in the stove in 505 00:31:20,560 --> 00:31:22,880 Speaker 2: her kitchen. It's wondering if the house didn't burn down 506 00:31:22,960 --> 00:31:26,200 Speaker 2: thinking about cooking those things. But holy cow, a homemade 507 00:31:26,200 --> 00:31:31,560 Speaker 2: corn dog lunchtime oh it is lunchtime. Let's see. I 508 00:31:31,560 --> 00:31:34,120 Speaker 2: think uh Goodbran ninety two to forty nine, Kathleen, See, 509 00:31:34,120 --> 00:31:36,160 Speaker 2: you got to get with the program here. I think 510 00:31:36,520 --> 00:31:40,280 Speaker 2: chug King. You misspelled chug King made an egg foo, 511 00:31:40,480 --> 00:31:45,480 Speaker 2: young kid, and I loved it, says cat Mama Colorado. Uh, 512 00:31:45,720 --> 00:31:48,280 Speaker 2: the Choi is the brand. Now, I think I've heard 513 00:31:48,320 --> 00:31:50,960 Speaker 2: of the Choi. I don't think I've ever had La Joy. 514 00:31:51,480 --> 00:31:53,640 Speaker 2: Let's just put it this way. I hope I haven't 515 00:31:53,640 --> 00:31:59,120 Speaker 2: had Lijoi. Hunt Weston purchased the chunk King. 516 00:31:59,200 --> 00:31:59,960 Speaker 3: This is a. 517 00:32:01,840 --> 00:32:04,680 Speaker 2: Chun King, purchased a trademark, added it to their line 518 00:32:04,720 --> 00:32:08,080 Speaker 2: of foods. Hunt Westler, the makers of Lachoi brand basically 519 00:32:08,200 --> 00:32:10,280 Speaker 2: chun King, and are a different brand name. Maybe it's 520 00:32:10,400 --> 00:32:13,040 Speaker 2: like Helman's and Best Foods and Byonnets, both me by 521 00:32:13,040 --> 00:32:15,600 Speaker 2: the same company, off in the same factory market to 522 00:32:15,640 --> 00:32:17,760 Speaker 2: the consumer, and a different brand name depending on where 523 00:32:17,800 --> 00:32:20,040 Speaker 2: you are in the country. So now I got to 524 00:32:20,080 --> 00:32:22,680 Speaker 2: go look for chun King, which I guess doesn't exist anymore, 525 00:32:22,880 --> 00:32:26,240 Speaker 2: but La Choi. So maybe I can take missus Redbeard. 526 00:32:26,800 --> 00:32:28,640 Speaker 2: I can invite missus Redbeard over to the house and 527 00:32:28,680 --> 00:32:34,960 Speaker 2: we'll have the Chroi over white toast. First, this and 528 00:32:35,000 --> 00:32:35,880 Speaker 2: the Express