1 00:00:00,440 --> 00:00:04,080 Speaker 1: Michael making us listen to the view and Gavin in 2 00:00:04,120 --> 00:00:07,280 Speaker 1: the same segment. Are you trying to kill off the 3 00:00:07,320 --> 00:00:12,479 Speaker 1: rest of your ten listeners? Yeah? I just decided that 4 00:00:12,560 --> 00:00:17,000 Speaker 1: enough was enough and that was it. Why do I 5 00:00:17,079 --> 00:00:20,080 Speaker 1: keep getting the buzz? Oh that was actually a buzz 6 00:00:20,200 --> 00:00:23,400 Speaker 1: in the talk pack that was also wasn't my cable 7 00:00:23,440 --> 00:00:24,200 Speaker 1: this time? Correct? 8 00:00:24,239 --> 00:00:26,200 Speaker 2: Yeah, because I keep thinking it's time you will get 9 00:00:26,200 --> 00:00:35,080 Speaker 2: a new cable. Hey, let's see what happened. No buzz 10 00:00:35,520 --> 00:00:36,680 Speaker 2: that you don't have the microphoney? 11 00:00:36,880 --> 00:00:37,960 Speaker 1: So I don't know. Correct. 12 00:00:38,440 --> 00:00:41,960 Speaker 2: Here's a question for you. What is the most important 13 00:00:42,040 --> 00:00:45,760 Speaker 2: number in the American democracy, the one that determines how 14 00:00:45,840 --> 00:00:50,760 Speaker 2: many representatives, how many congressmen your state gets, how many 15 00:00:50,800 --> 00:00:55,520 Speaker 2: Electoral College votes that it has, and how many billions 16 00:00:55,520 --> 00:00:59,000 Speaker 2: in federal dollars that flow to your state. Why if 17 00:00:59,000 --> 00:01:02,120 Speaker 2: that number was never actually counted one off, instead, it 18 00:01:02,160 --> 00:01:04,320 Speaker 2: was modeled one of it was computed. 19 00:01:05,360 --> 00:01:07,040 Speaker 1: And I'm not talking about hypothetically. 20 00:01:08,160 --> 00:01:11,440 Speaker 2: That's the allegation at the heart of a landmark amended 21 00:01:11,520 --> 00:01:15,920 Speaker 2: lawsuit filed by America First Legal on February eighteenth for 22 00:01:16,000 --> 00:01:22,119 Speaker 2: the Middle District of Florida. The case is called USFCR 23 00:01:23,280 --> 00:01:26,679 Speaker 2: versus Lutnik. Yes that luck make those secretary of Commerce, 24 00:01:28,160 --> 00:01:32,039 Speaker 2: and it goes after the twenty twenty census, but it 25 00:01:32,080 --> 00:01:36,120 Speaker 2: does so in such a surgically precise way that I 26 00:01:36,160 --> 00:01:40,080 Speaker 2: think the original public debate never ever achieved because they 27 00:01:40,160 --> 00:01:44,720 Speaker 2: got mired down in oh luction denierism, you'll denialism, blah 28 00:01:44,760 --> 00:01:45,200 Speaker 2: blah blah. 29 00:01:45,280 --> 00:01:45,880 Speaker 1: It was just so. 30 00:01:46,000 --> 00:01:48,040 Speaker 2: Let me set the framework up, because this is a 31 00:01:48,440 --> 00:01:51,760 Speaker 2: this is a two door problem. Here's door number one. 32 00:01:53,320 --> 00:01:57,120 Speaker 2: Door number one is about how the Census Bureau decided 33 00:01:57,280 --> 00:02:01,200 Speaker 2: who gets counted when it couldn't actually find you. 34 00:02:03,160 --> 00:02:06,160 Speaker 1: Let me tell you that again. How is the. 35 00:02:06,040 --> 00:02:10,400 Speaker 2: Census Bureau going to decide who gets counted when it 36 00:02:10,520 --> 00:02:11,880 Speaker 2: couldn't actually find you? 37 00:02:12,000 --> 00:02:16,600 Speaker 1: To count you? In twenty twenty, the Census Bureau used something. 38 00:02:16,400 --> 00:02:22,240 Speaker 2: Called whole person imputation, and they use that at a 39 00:02:22,440 --> 00:02:28,320 Speaker 2: staggering scale. Their own post enumeration work suggests that ten 40 00:02:28,400 --> 00:02:33,200 Speaker 2: point nine million people, that's what about three point four 41 00:02:33,240 --> 00:02:35,679 Speaker 2: percent of the entire three percent or more of the 42 00:02:35,800 --> 00:02:44,359 Speaker 2: entire US population they got statistically filled in, made up, substituted. Now, 43 00:02:44,800 --> 00:02:48,600 Speaker 2: if you think that's bad, that is double the imputation 44 00:02:48,840 --> 00:02:53,679 Speaker 2: rate from the earlier census in twenty ten. If you're 45 00:02:53,720 --> 00:02:58,359 Speaker 2: taking if you're a teacher and you're taking attendance and 46 00:02:58,400 --> 00:03:01,120 Speaker 2: you just decide on your own that abs and students 47 00:03:01,160 --> 00:03:04,400 Speaker 2: are present based on who's sitting nearby, well you're not 48 00:03:04,400 --> 00:03:08,160 Speaker 2: really taking attendance anymore, are you. You're writing a fictional 49 00:03:08,200 --> 00:03:11,839 Speaker 2: account of who's attending. Now do that with ten point 50 00:03:11,960 --> 00:03:14,960 Speaker 2: nine million Americans and you've got a census that is 51 00:03:15,000 --> 00:03:19,359 Speaker 2: not a census. You've got a model. That's door number one. 52 00:03:20,639 --> 00:03:24,400 Speaker 2: Let's look behind door number two. That's how the Census 53 00:03:24,440 --> 00:03:30,040 Speaker 2: Bureau decided what numbers to publish. Wants the counting if 54 00:03:30,880 --> 00:03:33,480 Speaker 2: if that's what we're going to call it, was finished. 55 00:03:34,560 --> 00:03:35,040 Speaker 1: And this is. 56 00:03:35,040 --> 00:03:38,640 Speaker 2: Where a man named John Aboud comes into the story 57 00:03:39,480 --> 00:03:43,680 Speaker 2: about was the Census Bureau's chief scientist. Yes, this is 58 00:03:43,680 --> 00:03:48,000 Speaker 2: going to cause you to question the science again. Back 59 00:03:48,000 --> 00:03:52,600 Speaker 2: in twenty eighteen, he sent the Department of Commerce a 60 00:03:52,720 --> 00:03:59,800 Speaker 2: memorandum arguing that adding a citizenship question would devastate the 61 00:04:00,080 --> 00:04:03,600 Speaker 2: quality of the data. Because he's kind that back in 62 00:04:03,640 --> 00:04:07,680 Speaker 2: twenty eighteen, there wasn't enough time to test it. The 63 00:04:07,720 --> 00:04:12,800 Speaker 2: Trump administration lost that fight. But while everyone was watching 64 00:04:12,840 --> 00:04:17,719 Speaker 2: that battle, guess what a bat was quietly waging another 65 00:04:17,760 --> 00:04:22,360 Speaker 2: battle over here. He pushed through a revolutionary new method 66 00:04:22,440 --> 00:04:28,400 Speaker 2: called differential privacy. Now, that's the system that deliberately injects 67 00:04:28,520 --> 00:04:34,120 Speaker 2: mathematical noise into block level population counts across the entire country. 68 00:04:34,160 --> 00:04:35,960 Speaker 2: So you know, when they do the census, they do it, 69 00:04:36,000 --> 00:04:38,919 Speaker 2: you know, block by block. Well, he injected what I 70 00:04:38,920 --> 00:04:42,400 Speaker 2: can only describe as mathematical noise into those block by 71 00:04:42,440 --> 00:04:48,800 Speaker 2: block population counts. In other words, he deliberately distorted the numbers. 72 00:04:49,800 --> 00:04:53,280 Speaker 2: He distorted the numbers on purpose. He distorted the numbers 73 00:04:53,279 --> 00:05:00,560 Speaker 2: by design. Don't forget this, y'ahoo's name John about now 74 00:05:01,000 --> 00:05:05,480 Speaker 2: the Census Bureau will tell you the only wait a minute. 75 00:05:05,520 --> 00:05:10,320 Speaker 2: This is about protecting respondent confidentiality in a federal statute. Now, 76 00:05:10,400 --> 00:05:14,600 Speaker 2: I agree that confidentiality when you fill out your census 77 00:05:14,600 --> 00:05:19,320 Speaker 2: form is a genuine legal obligation. But here's the constitutional problem. 78 00:05:19,880 --> 00:05:21,440 Speaker 2: And I want you to think like a lawyer for 79 00:05:21,520 --> 00:05:24,480 Speaker 2: just a second. Yeah, I phenes some tequila shots do 80 00:05:24,560 --> 00:05:32,400 Speaker 2: that right now. The obligation to protect privacy exists downstream 81 00:05:32,839 --> 00:05:37,920 Speaker 2: from the obligation to count accurately for purposes of apportionment, 82 00:05:38,440 --> 00:05:44,120 Speaker 2: deciding how many electoral votes, how many congressmen. Privacy is 83 00:05:44,160 --> 00:05:49,560 Speaker 2: a constraint on publication. Privacy is not a license to 84 00:05:49,760 --> 00:05:55,760 Speaker 2: falsify the head count that defines a political community. So 85 00:05:56,000 --> 00:06:02,560 Speaker 2: how did John about do more than just falsify? Well, 86 00:06:02,600 --> 00:06:07,599 Speaker 2: he did this in secret. The key parameter controlling how 87 00:06:07,720 --> 00:06:13,080 Speaker 2: much noise got injected, which is a value called epsilom, 88 00:06:13,760 --> 00:06:16,880 Speaker 2: was kept from the public. It was kept from the researchers, 89 00:06:17,360 --> 00:06:20,800 Speaker 2: It was hidden from state governments. They didn't tell Congress 90 00:06:20,800 --> 00:06:25,599 Speaker 2: about it. Throughout the entire critical period, nobody had any 91 00:06:25,680 --> 00:06:31,400 Speaker 2: idea about this value called epsilon. So when local governments 92 00:06:31,440 --> 00:06:34,480 Speaker 2: and researcher saw the demonstration data and they started warning 93 00:06:34,520 --> 00:06:37,800 Speaker 2: that the numbers were veering from reality, they didn't have 94 00:06:37,880 --> 00:06:41,479 Speaker 2: any way to determine whether the anomalies that they thought 95 00:06:41,480 --> 00:06:46,440 Speaker 2: they were seeing were genuine miscounts or are the artifacts 96 00:06:46,440 --> 00:06:47,279 Speaker 2: of the algorithm. 97 00:06:48,640 --> 00:06:51,440 Speaker 1: Worse, here, the traditional remedy. 98 00:06:51,960 --> 00:06:56,240 Speaker 2: The count question resolution program that the Commerce Department has. 99 00:06:56,600 --> 00:07:00,000 Speaker 2: That's where a city, a municipality can appeal accounting error 100 00:07:00,880 --> 00:07:06,440 Speaker 2: that effectively got destroyed. So you can't correct an intentional distortion. 101 00:07:07,760 --> 00:07:11,880 Speaker 2: You can no longer separate a real mistake from a 102 00:07:11,920 --> 00:07:16,600 Speaker 2: manufactured mistake. When the entire system is designed to blur 103 00:07:16,800 --> 00:07:19,240 Speaker 2: the line between what is real and what is made up. 104 00:07:20,400 --> 00:07:24,880 Speaker 2: So the Bureau eventually disclosed a global epsilon of nineteen 105 00:07:24,920 --> 00:07:26,560 Speaker 2: point sixty one. 106 00:07:26,800 --> 00:07:30,080 Speaker 1: What does that mean? Drag again? Drag again? 107 00:07:31,360 --> 00:07:34,840 Speaker 3: Hey, Michael, I was thinking about going out to New 108 00:07:34,920 --> 00:07:37,520 Speaker 3: York City to Shelvelson snow and I'm wondering do you 109 00:07:37,520 --> 00:07:39,600 Speaker 3: think they take my concealed carry permanent as one of 110 00:07:39,600 --> 00:07:43,200 Speaker 3: my tens of ID and about the engine half square photos. 111 00:07:43,200 --> 00:07:44,640 Speaker 1: I don't know if I know how to do that. 112 00:07:45,960 --> 00:07:49,480 Speaker 3: Besides, I think they only want young white dudes out 113 00:07:49,520 --> 00:07:51,600 Speaker 3: there because we all know that black people and women 114 00:07:51,640 --> 00:07:55,400 Speaker 3: are having a problem getting ID. You know, to vote. 115 00:07:56,560 --> 00:07:58,560 Speaker 2: Well, Dragon and I will pay for you to get 116 00:07:58,560 --> 00:08:02,000 Speaker 2: your little passport photo. We'll even fill the forms out 117 00:08:02,080 --> 00:08:06,760 Speaker 2: for you. But we want you to land at LaGuardia. First. 118 00:08:06,800 --> 00:08:09,640 Speaker 2: You need to check your whatever weapon you want to take, 119 00:08:09,680 --> 00:08:11,080 Speaker 2: you need to check it when you get out to 120 00:08:11,560 --> 00:08:15,920 Speaker 2: then International with TSA and and check it into you 121 00:08:16,120 --> 00:08:22,120 Speaker 2: go to the LaGuardia and then claim your weapon from 122 00:08:22,160 --> 00:08:28,400 Speaker 2: TSA at LaGuardia and then call us. We'll we'll get 123 00:08:28,400 --> 00:08:31,000 Speaker 2: a we'll get a we'll find a criminal lawyer in 124 00:08:31,480 --> 00:08:35,320 Speaker 2: New York and have them ready to bail you out. 125 00:08:40,320 --> 00:08:47,720 Speaker 1: Isn't absurd that the Second Amendment provides that the right of. 126 00:08:47,679 --> 00:08:49,680 Speaker 2: The people to keep in their arms shall not be 127 00:08:49,760 --> 00:08:54,480 Speaker 2: infringed unless you land in O'Hare, or you land in LaGuardia, 128 00:08:55,520 --> 00:08:57,440 Speaker 2: or you land at l A X. 129 00:08:58,040 --> 00:09:00,199 Speaker 1: Then no, you can't do it. You can't do it then. 130 00:09:01,760 --> 00:09:05,760 Speaker 2: So go back to this epsilon of nineteen point sixty one. 131 00:09:06,880 --> 00:09:12,560 Speaker 2: That's what the Census Bureau disclosed to be their global factor, 132 00:09:14,160 --> 00:09:19,079 Speaker 2: and that was disclosed after apportionment had already been done. So, 133 00:09:19,200 --> 00:09:22,720 Speaker 2: just to make sure you understand the timeline here, the chronology, 134 00:09:23,960 --> 00:09:27,199 Speaker 2: Census Bureau conducts this conducts the census. They use these 135 00:09:27,240 --> 00:09:32,920 Speaker 2: algorithms to do this imputed count. When they can actually 136 00:09:32,920 --> 00:09:36,679 Speaker 2: find you to count you, they assume you're there, but 137 00:09:36,720 --> 00:09:41,360 Speaker 2: they don't really know if you're there. You're both there 138 00:09:41,400 --> 00:09:45,880 Speaker 2: and not there at the same time. Yes, so that 139 00:09:45,960 --> 00:09:54,040 Speaker 2: law's now in effect. After legislatures drew their maps, after 140 00:09:54,200 --> 00:10:01,480 Speaker 2: candidates filed for office, after the voters voted, then they 141 00:10:01,520 --> 00:10:04,679 Speaker 2: disclosed the epsilon calculation of nineteen. 142 00:10:04,360 --> 00:10:06,360 Speaker 1: Point six one. 143 00:10:06,600 --> 00:10:09,640 Speaker 2: I would argue the disclosure after the decisive moment, which 144 00:10:09,720 --> 00:10:12,839 Speaker 2: is all of those things. You've drawn, the maps, you've 145 00:10:12,880 --> 00:10:17,240 Speaker 2: determined what the congressional boundaries are, the candidates filed within 146 00:10:17,320 --> 00:10:20,120 Speaker 2: those boundaries, the voters went to the polls and voted, 147 00:10:20,520 --> 00:10:24,240 Speaker 2: and people got elected, and people lost disclosure after all 148 00:10:24,240 --> 00:10:28,840 Speaker 2: of that is not transparency. That becomes history, and it 149 00:10:28,920 --> 00:10:33,920 Speaker 2: might even be fraudulent. The clearest case of this is 150 00:10:33,960 --> 00:10:36,760 Speaker 2: in Florida. So let's talk about Florida for a moment. 151 00:10:37,480 --> 00:10:39,920 Speaker 2: I'm still digging to see what happened in Colorado, but 152 00:10:40,040 --> 00:10:44,280 Speaker 2: let's deal with Florida right now. The amended complaint in 153 00:10:44,360 --> 00:10:48,560 Speaker 2: the lawsuit in Florida alleges that Florida was under counted 154 00:10:48,600 --> 00:10:53,160 Speaker 2: by three point four to eight percent. That is, approximately 155 00:10:53,240 --> 00:10:56,760 Speaker 2: seven hundred and sixty thousand people. Slightly more than three 156 00:10:56,840 --> 00:11:01,480 Speaker 2: quarters of a million people were not counted or undercounted 157 00:11:02,000 --> 00:11:08,280 Speaker 2: in Florida, and now Florida missed gaining an additional congressional 158 00:11:08,320 --> 00:11:13,160 Speaker 2: seat by roughly one hundred and seventy two thousand people. Now, 159 00:11:13,200 --> 00:11:17,760 Speaker 2: remember they were undercounted by little more than three quarters 160 00:11:17,760 --> 00:11:22,760 Speaker 2: of a million. They lost or missed getting an additional 161 00:11:22,840 --> 00:11:26,160 Speaker 2: House seat by roughly one hundred and seventy two thousand people. 162 00:11:27,440 --> 00:11:28,320 Speaker 1: You do the math. 163 00:11:29,720 --> 00:11:33,679 Speaker 2: If you are shorted in the census count by seven 164 00:11:33,720 --> 00:11:38,280 Speaker 2: hundred and sixty thousand residents and you miss gaining an 165 00:11:38,320 --> 00:11:42,840 Speaker 2: additional electoral seat an additional congressional seat by one hundred 166 00:11:42,880 --> 00:11:48,199 Speaker 2: and seventy two thousand, the undercount didn't just become an inconvenience. 167 00:11:48,480 --> 00:11:52,520 Speaker 2: The undercount cost you a congressional seat. And that's not rhetoric, 168 00:11:52,600 --> 00:11:53,760 Speaker 2: and that's not politics. 169 00:11:53,800 --> 00:11:57,360 Speaker 1: That's math, And Florida isn't alone. 170 00:11:57,760 --> 00:12:02,560 Speaker 2: The Census Bureau's own post most enumeration survey, done four 171 00:12:02,640 --> 00:12:04,960 Speaker 2: years ago in twenty twenty two, they shows you how 172 00:12:04,960 --> 00:12:11,840 Speaker 2: long this litigation takes identified statistically significant coverage areas in 173 00:12:12,160 --> 00:12:17,840 Speaker 2: fourteen states, Florida and Texas among the most prominent undercounts, 174 00:12:18,640 --> 00:12:22,680 Speaker 2: while other states either kept or gained seats they had 175 00:12:22,720 --> 00:12:25,199 Speaker 2: no business keeping or gaining. 176 00:12:26,600 --> 00:12:28,400 Speaker 1: Independent analysts have estimated the. 177 00:12:28,360 --> 00:12:31,360 Speaker 2: Net effect was a shift of about nine House seats 178 00:12:32,080 --> 00:12:36,880 Speaker 2: away from Republican leaning states toward Democrat leaning states. Nine 179 00:12:37,040 --> 00:12:45,560 Speaker 2: seats now, don't forget the electoral college count moves with them, 180 00:12:46,960 --> 00:12:52,680 Speaker 2: so that means the electoral college shifted to plus an 181 00:12:52,800 --> 00:12:58,840 Speaker 2: estimated eighty six billion dollars in federal formula funding follows 182 00:12:58,880 --> 00:13:04,040 Speaker 2: that kind of distorted a portionment. Now, I don't care 183 00:13:04,080 --> 00:13:08,000 Speaker 2: whether you think this is money well spent or not spent. Nonetheless, 184 00:13:08,160 --> 00:13:13,240 Speaker 2: it's eighty six billion dollars of education money, healthcare dollars, 185 00:13:13,600 --> 00:13:17,120 Speaker 2: transportation dollars. I kind of laughed this morning we heard 186 00:13:17,120 --> 00:13:19,640 Speaker 2: that in the traffic report that they were filling in 187 00:13:19,720 --> 00:13:23,320 Speaker 2: there was some emergency pothole repair. I thought to myself, 188 00:13:23,320 --> 00:13:24,839 Speaker 2: why is that in the traffic port. That'll be the 189 00:13:24,880 --> 00:13:27,640 Speaker 2: headline news that we were actually filling up potholes somewhere 190 00:13:27,679 --> 00:13:34,319 Speaker 2: in Colorado. All of those moneies, transportation, healthcare, education, that 191 00:13:34,400 --> 00:13:39,640 Speaker 2: gets redistributed not by population instead, it's now getting distributed by. 192 00:13:39,960 --> 00:13:42,280 Speaker 1: One single bureaucrats algorithm. 193 00:13:43,960 --> 00:13:48,839 Speaker 2: Now I anticipate the objection here, someone's going to say, 194 00:13:49,440 --> 00:13:52,319 Speaker 2: which I'll tell you, well, let's do this. I'll tell 195 00:13:52,320 --> 00:13:55,200 Speaker 2: you what the objection is next, and then I want 196 00:13:55,200 --> 00:13:56,400 Speaker 2: to beat it to death. 197 00:13:57,280 --> 00:14:00,280 Speaker 1: Rannie. I'm flying home from Orlando today. 198 00:14:00,520 --> 00:14:03,040 Speaker 3: I got the same attitude as you towards the TSA, 199 00:14:03,280 --> 00:14:04,800 Speaker 3: so UH wish me luck. 200 00:14:04,840 --> 00:14:06,439 Speaker 1: I don't get on that no fly list. 201 00:14:09,000 --> 00:14:12,439 Speaker 2: Well, if we if we'd had your flight number, uh, 202 00:14:12,480 --> 00:14:15,200 Speaker 2: and the time you arrive at mc O, we could 203 00:14:15,240 --> 00:14:21,560 Speaker 2: have made sure that you got expedited through TSA. We're 204 00:14:21,560 --> 00:14:27,360 Speaker 2: always willing to help a listener out. Definitely, I would 205 00:14:27,400 --> 00:14:31,240 Speaker 2: have I would have called the I want to call 206 00:14:31,320 --> 00:14:34,600 Speaker 2: the director of security at the airport and said, listen, 207 00:14:34,640 --> 00:14:37,880 Speaker 2: there's a there's a passenger but the name of so 208 00:14:37,920 --> 00:14:40,960 Speaker 2: and so, here's a cell phone number, and might one 209 00:14:41,040 --> 00:14:45,960 Speaker 2: just pull him aside for a little uh yeah, yeah, 210 00:14:46,240 --> 00:14:48,320 Speaker 2: a little rectal examination maybe. 211 00:14:48,640 --> 00:14:51,200 Speaker 1: Yeah, he's about that age. He needs it done anyway, 212 00:14:51,240 --> 00:14:57,640 Speaker 1: exactly exactly. So here's what I think the objection would be. 213 00:15:00,520 --> 00:15:05,520 Speaker 2: Imputation isn't new because the courts have dealt with imputation before, 214 00:15:06,280 --> 00:15:12,680 Speaker 2: and that is true, but it's always been limited, limited 215 00:15:12,760 --> 00:15:17,360 Speaker 2: imputation to resolve a very discrete missing data problem. And 216 00:15:17,440 --> 00:15:21,240 Speaker 2: I think you can defend that as completing the record. 217 00:15:21,800 --> 00:15:22,880 Speaker 1: It's not sampling. 218 00:15:23,840 --> 00:15:28,760 Speaker 2: But when you combine mass imputation at the enumeration stage, 219 00:15:28,800 --> 00:15:32,720 Speaker 2: when you're gathering all the data, and you inject a 220 00:15:32,800 --> 00:15:37,120 Speaker 2: secret noise into the math. At the publication stage, you 221 00:15:37,200 --> 00:15:40,320 Speaker 2: no longer have a census that has just some technical limitation. 222 00:15:41,720 --> 00:15:45,520 Speaker 2: You have a sensus that is designed specifically to prevent 223 00:15:45,600 --> 00:15:50,200 Speaker 2: anybody from knowing where it's wrong, and that's not an accident, 224 00:15:50,280 --> 00:15:52,760 Speaker 2: that's not a bug, that's a feature, that's an actual 225 00:15:52,920 --> 00:15:56,440 Speaker 2: architecture of the system itself. Now, the Supreme Court has 226 00:15:56,480 --> 00:16:02,040 Speaker 2: already ruled that statistical sampling for a hoorsement is illegal. 227 00:16:03,160 --> 00:16:09,240 Speaker 2: The Constitution requires an actual enumeration and actual counting, and 228 00:16:09,280 --> 00:16:15,760 Speaker 2: an actual enumeration means counting people who exist, not injecting 229 00:16:16,040 --> 00:16:19,520 Speaker 2: pseudo people, and then also at the same time erasing 230 00:16:19,600 --> 00:16:24,320 Speaker 2: real ones to know in order to satisfy this disclosure 231 00:16:24,360 --> 00:16:25,680 Speaker 2: model that they've put together. 232 00:16:27,520 --> 00:16:28,440 Speaker 1: So what should happen. 233 00:16:28,800 --> 00:16:32,280 Speaker 2: It's pretty straightforward to me, and I think that, you know, 234 00:16:32,360 --> 00:16:35,040 Speaker 2: the federal courts in Florida ought to look at it, 235 00:16:35,080 --> 00:16:40,320 Speaker 2: because go meet the Constitution. It's an actual counting. The 236 00:16:40,400 --> 00:16:44,320 Speaker 2: remedy is therefore, I think straightforward. Politics are probably not. 237 00:16:44,400 --> 00:16:48,040 Speaker 2: But I think the legal issue is Congress should direct 238 00:16:48,040 --> 00:16:53,040 Speaker 2: the Bureau to reproduce the twenty twenty data using the 239 00:16:53,200 --> 00:16:57,480 Speaker 2: raw count data. Of course, you still protect confidentiality through 240 00:16:57,520 --> 00:17:04,280 Speaker 2: targeted suppression and undetermined not by falsifying the totals. Differential privacy, 241 00:17:04,280 --> 00:17:07,000 Speaker 2: if it's used at all, should be confined to the 242 00:17:07,119 --> 00:17:11,479 Speaker 2: products in the census that explicitly labeled unofficial and then 243 00:17:11,520 --> 00:17:15,760 Speaker 2: bar that from any use in apportionment or redistricting. And 244 00:17:15,840 --> 00:17:20,000 Speaker 2: the Citizenship data program itself should be restored and expanded 245 00:17:20,600 --> 00:17:22,560 Speaker 2: so the American people are not required to make a 246 00:17:22,560 --> 00:17:27,119 Speaker 2: trade dollar decision in the dark. Now, the America First 247 00:17:27,359 --> 00:17:31,400 Speaker 2: Foundation is asking a federal court to order exactly that 248 00:17:32,320 --> 00:17:37,800 Speaker 2: corrected apportionment data, corrected redistracting data sets, all of its 249 00:17:37,840 --> 00:17:43,800 Speaker 2: stripped of population, derived primarily from statistical methods. And here's 250 00:17:43,840 --> 00:17:47,640 Speaker 2: the reason this case is still alive years later. Eight 251 00:17:47,760 --> 00:17:53,320 Speaker 2: years later, the new amended complaint argues that a six 252 00:17:53,440 --> 00:17:58,879 Speaker 2: year limitations period under the Administrative Procedure Act, the channel 253 00:17:58,920 --> 00:18:02,639 Speaker 2: to judicial correction is still open barely, but it is 254 00:18:02,680 --> 00:18:05,320 Speaker 2: still open. So that's why they've got to file. That's 255 00:18:05,320 --> 00:18:08,320 Speaker 2: why they filed it now, is to beat statute limitations. 256 00:18:08,600 --> 00:18:13,000 Speaker 1: And here's why this matters. Right now. FDA's in the. 257 00:18:12,960 --> 00:18:18,199 Speaker 2: Middle of a special legislative session on congressional redistricting that 258 00:18:18,320 --> 00:18:23,720 Speaker 2: is scheduled for April. So it's not retrospective history. It's 259 00:18:23,720 --> 00:18:30,600 Speaker 2: a live fight happening in real time. Politically, quality ought 260 00:18:30,600 --> 00:18:34,960 Speaker 2: to be a matter of simply counting. In counting is 261 00:18:35,000 --> 00:18:38,480 Speaker 2: a matter of math, and math is usually pretty truthful 262 00:18:39,280 --> 00:18:43,280 Speaker 2: to plus two does equal four. And when a federal 263 00:18:43,359 --> 00:18:47,959 Speaker 2: agency such as the Department of Commerce and in specifically 264 00:18:48,000 --> 00:18:53,119 Speaker 2: the Census Bureau, when they treat truth as negotiable, and 265 00:18:53,160 --> 00:18:55,760 Speaker 2: that's what they're doing here by filling in millions of 266 00:18:55,760 --> 00:19:00,159 Speaker 2: missing Americans through statistical substitution, and then on top but 267 00:19:00,320 --> 00:19:03,800 Speaker 2: that they are deliberately distorting the published totals under cover 268 00:19:03,920 --> 00:19:07,679 Speaker 2: of confidentiality law. And then they keep the parameter secret 269 00:19:07,720 --> 00:19:11,200 Speaker 2: from the States, they keep it secret from Congress, they 270 00:19:11,240 --> 00:19:14,200 Speaker 2: keep it secret from you and me. Well, at that point, 271 00:19:14,520 --> 00:19:17,760 Speaker 2: the census is no longer the foundation of a democrat legitimacy. 272 00:19:18,080 --> 00:19:21,240 Speaker 2: It becomes an instrument of power, an instrument of manipulation. 273 00:19:22,840 --> 00:19:24,040 Speaker 1: So the twenty twenty. 274 00:19:23,840 --> 00:19:29,600 Speaker 2: Census was not an actual enumeration by the Bureau's own emission, 275 00:19:30,280 --> 00:19:33,960 Speaker 2: by the post enumeration surveys, by the architecture of the 276 00:19:34,000 --> 00:19:38,159 Speaker 2: differential privacy system itself. It was, in key respects, just 277 00:19:38,200 --> 00:19:42,199 Speaker 2: a model. It's kind of like climate science. It was 278 00:19:42,240 --> 00:19:47,280 Speaker 2: based on a model. It was computed. And in a 279 00:19:47,320 --> 00:19:52,719 Speaker 2: republic where our representation flows from an actual count, that 280 00:19:52,840 --> 00:19:55,920 Speaker 2: is not a technical footnote, that is a constitutional crisis, 281 00:19:57,000 --> 00:19:59,639 Speaker 2: and it's one that affects the very legitimacy of the 282 00:19:59,640 --> 00:20:03,240 Speaker 2: Congress US. There's legitimacy is a threat by a threat 283 00:20:03,280 --> 00:20:13,520 Speaker 2: anyway when it comes to these kinds of lawsuits. Regardless 284 00:20:13,520 --> 00:20:15,439 Speaker 2: of what the lower court, the trial court in the 285 00:20:15,440 --> 00:20:18,919 Speaker 2: Middle District of Florida decides, it'll end up in the 286 00:20:18,960 --> 00:20:22,080 Speaker 2: appellate court, and it will may or may or may 287 00:20:22,119 --> 00:20:25,679 Speaker 2: not end up a US Supreme Court. But nonetheless, we 288 00:20:25,720 --> 00:20:28,800 Speaker 2: ought to at least take some solace and understanding that 289 00:20:28,880 --> 00:20:33,520 Speaker 2: somebody somewhere is trying to protect the integrity of the census. 290 00:20:34,640 --> 00:20:40,960 Speaker 2: Now you add to that the birthright citizenship cases, and 291 00:20:41,000 --> 00:20:45,040 Speaker 2: you add to that the idea that we should look 292 00:20:45,119 --> 00:20:48,480 Speaker 2: I don't care if we do an actual enumeration of 293 00:20:48,520 --> 00:20:52,359 Speaker 2: everybody in the country, but there ought to be a 294 00:20:52,440 --> 00:20:56,640 Speaker 2: data set of those who are citizens in the country 295 00:20:56,960 --> 00:20:59,560 Speaker 2: and a data set over here of those who are not. 296 00:21:00,280 --> 00:21:02,080 Speaker 2: And then if you want to know the total, you 297 00:21:02,119 --> 00:21:04,840 Speaker 2: can combine those. You can combine data set A with 298 00:21:05,040 --> 00:21:07,520 Speaker 2: data set B, and you can come up with whether 299 00:21:07,560 --> 00:21:09,480 Speaker 2: it's three hundred and fifty or three hundred and fifty 300 00:21:09,560 --> 00:21:11,840 Speaker 2: nine million, or you know, it's a bazillion whatever the 301 00:21:11,920 --> 00:21:14,840 Speaker 2: number is, that's fine, but I want to know how 302 00:21:14,920 --> 00:21:22,800 Speaker 2: many citizens because that's who should be voting. It's it's 303 00:21:22,840 --> 00:21:29,880 Speaker 2: amazing to me that this is even controversial. It's amazing 304 00:21:29,920 --> 00:21:33,359 Speaker 2: to me that this is still a case going on. 305 00:21:36,880 --> 00:21:42,280 Speaker 2: Switch matters for just a moment. When is a pivot 306 00:21:42,800 --> 00:21:47,040 Speaker 2: not a pivot? It's when Democrats do it. I heard 307 00:21:47,080 --> 00:21:50,920 Speaker 2: the buzz all weekend. The political press is practically writing 308 00:21:50,960 --> 00:21:56,440 Speaker 2: the redemption. It's it's like a redemption arc. Obama, Clinton, Newsome, 309 00:21:57,000 --> 00:21:59,240 Speaker 2: all of them have been out on the circuit over 310 00:21:59,280 --> 00:22:02,320 Speaker 2: the weekend and this past week. What are they doing. 311 00:22:02,480 --> 00:22:05,199 Speaker 2: They're urging the Democrat Party to moderate. They're trying to 312 00:22:05,240 --> 00:22:07,800 Speaker 2: dial back all the virtue signaling. They're trying to get 313 00:22:07,840 --> 00:22:12,199 Speaker 2: real and immigration. They're trying to stop alienating working class Americans. 314 00:22:12,520 --> 00:22:17,200 Speaker 2: So the new Democrat Coalition issued a memo, The centrist 315 00:22:17,200 --> 00:22:22,080 Speaker 2: think tank Third Way published a poll, and as they say, 316 00:22:22,200 --> 00:22:25,119 Speaker 2: changes in the air. Yeah, well, don't believe it. Let 317 00:22:25,160 --> 00:22:27,000 Speaker 2: me give you the evidence, because that's what we do here. 318 00:22:27,040 --> 00:22:29,000 Speaker 2: We don't just assert week, we try to prove it. 319 00:22:29,320 --> 00:22:33,160 Speaker 2: Hillary Clinton is out there urging moderation, for example, on transgenderism. 320 00:22:33,720 --> 00:22:37,560 Speaker 2: Then she turns right around and invites transgender Congressman Sarah 321 00:22:37,600 --> 00:22:41,160 Speaker 2: McBride or congresswoman I'm not quite sure which Sarah McBride 322 00:22:41,240 --> 00:22:44,400 Speaker 2: to co Hurst to co host her panel at that 323 00:22:45,440 --> 00:22:49,399 Speaker 2: security conference in Munich. So the panel was called, and 324 00:22:49,440 --> 00:22:53,639 Speaker 2: I want you to hear this carefully, girls just want 325 00:22:53,680 --> 00:23:02,399 Speaker 2: to have fundamental rights. That's moderation. That's not moderation. So 326 00:23:02,760 --> 00:23:08,000 Speaker 2: if she's a transgender woman, a congressman, congresswoman, I don't know, 327 00:23:08,000 --> 00:23:11,560 Speaker 2: whatever you want to call her, and they're hosting a 328 00:23:11,560 --> 00:23:14,080 Speaker 2: panel called girls just want to have Fundamental rights, that 329 00:23:14,240 --> 00:23:17,600 Speaker 2: is not moderation. That's a press release masquerading as a 330 00:23:17,600 --> 00:23:20,520 Speaker 2: policy shift. Gavin Newsom's doing the same thing. You know, 331 00:23:20,560 --> 00:23:24,159 Speaker 2: the NEWISOM is out there criticizing biological males competing in 332 00:23:24,200 --> 00:23:27,480 Speaker 2: women's sports. Sounds reasonable, right, That's what we've all been 333 00:23:27,520 --> 00:23:30,359 Speaker 2: asking for. Hey, we just want women to compete in 334 00:23:30,400 --> 00:23:32,919 Speaker 2: women's sports and men to compete in men's sports. And 335 00:23:33,040 --> 00:23:38,240 Speaker 2: Nwisom's out there trying to moderate the problem is Gavin 336 00:23:38,280 --> 00:23:41,080 Speaker 2: Newsom's own hand picked attorney general immediately sued the Trump 337 00:23:41,119 --> 00:23:43,719 Speaker 2: administration to keep the same thing going. So the governor 338 00:23:43,760 --> 00:23:46,600 Speaker 2: says one thing, but his government does another. If that's 339 00:23:46,600 --> 00:23:49,919 Speaker 2: how California defines moderation, explains all we need to know 340 00:23:49,920 --> 00:23:55,320 Speaker 2: about California. And then you've got Alexander Accossi Cortez standing 341 00:23:55,359 --> 00:23:58,320 Speaker 2: in a House hearing on the bill to ban males 342 00:23:58,520 --> 00:24:03,080 Speaker 2: from women's sports. She told the House chamber that supporters 343 00:24:03,119 --> 00:24:07,560 Speaker 2: of the bill are bigots and assault in enablers. Not 344 00:24:07,640 --> 00:24:11,320 Speaker 2: a lot of Sister Soldier energy going on there. And 345 00:24:11,359 --> 00:24:14,920 Speaker 2: then he got Barack Obama. He went on television, told 346 00:24:14,960 --> 00:24:17,159 Speaker 2: us the plan is going to roast and that the 347 00:24:17,200 --> 00:24:21,240 Speaker 2: green government jobs are the answer. That is word for word, 348 00:24:21,400 --> 00:24:26,480 Speaker 2: framing for framing his pitch in two thousand and seven, 349 00:24:26,640 --> 00:24:29,960 Speaker 2: nineteen years later, the same apocalypse, same solution, government saves 350 00:24:30,000 --> 00:24:33,919 Speaker 2: the day. If that's a pivot, it's the kind that 351 00:24:33,960 --> 00:24:37,080 Speaker 2: goes in a complete circle. That's a three hundred and 352 00:24:37,119 --> 00:24:39,119 Speaker 2: sixty degree pivot. You went right back to where you 353 00:24:39,119 --> 00:24:42,040 Speaker 2: started from. But here's the deeper point, I think where 354 00:24:42,080 --> 00:24:45,600 Speaker 2: it gets genuinely interesting. There's a new study out of 355 00:24:45,640 --> 00:24:47,560 Speaker 2: Cambridge and the London School of Economics. 356 00:24:47,600 --> 00:24:48,720 Speaker 1: I know, just hear me out. 357 00:24:49,960 --> 00:24:53,760 Speaker 2: They looked at actual polarization data and what they found 358 00:24:53,760 --> 00:24:56,640 Speaker 2: blows up the conventional wisdom for years we were told 359 00:24:56,680 --> 00:25:02,000 Speaker 2: that both sides were equally responsible for dividing country. Few 360 00:25:02,080 --> 00:25:05,720 Speaker 2: research claimed it, Max Boot claimed it, Joe Biden built 361 00:25:05,840 --> 00:25:09,320 Speaker 2: entire speeches about it. But the data says something different. 362 00:25:10,280 --> 00:25:13,320 Speaker 2: The data coming out of Cambridge and the London School 363 00:25:13,320 --> 00:25:18,240 Speaker 2: of Economics says, oh, the left moved dramatically further left, 364 00:25:18,520 --> 00:25:21,960 Speaker 2: they moved faster, and they moved further to the left. 365 00:25:22,320 --> 00:25:26,159 Speaker 2: Then the right moved right. So if you take Peggy 366 00:25:26,200 --> 00:25:28,960 Speaker 2: Noonan's ruler and you got the moderate here at six 367 00:25:29,040 --> 00:25:31,880 Speaker 2: inches in the middle of the ruler, the right may 368 00:25:31,920 --> 00:25:34,320 Speaker 2: have moved, you know, a couple of inches to the right, 369 00:25:34,720 --> 00:25:36,360 Speaker 2: but the left, they fell. 370 00:25:36,160 --> 00:25:39,320 Speaker 1: Off the left end of the ruler, entirely. 371 00:25:38,880 --> 00:25:42,200 Speaker 2: Off the left end, faster and further than the right 372 00:25:42,280 --> 00:25:46,360 Speaker 2: moved right. And the dividing lines weren't primarily economic. They 373 00:25:46,359 --> 00:25:50,240 Speaker 2: were cultural. They were abortion, traditional family, social values. That's 374 00:25:50,280 --> 00:25:53,399 Speaker 2: what's driving the wedge, according to Cambridge and the London 375 00:25:53,440 --> 00:25:58,760 Speaker 2: School of Economics, and that's not by accident. The researchers 376 00:25:58,800 --> 00:26:03,919 Speaker 2: identified what they called elite cues. That's the language and 377 00:26:03,960 --> 00:26:07,840 Speaker 2: the signals that the people in academia, the media, the politics, 378 00:26:07,920 --> 00:26:11,160 Speaker 2: what we call the cabal here used to tell their 379 00:26:11,200 --> 00:26:16,200 Speaker 2: followers how to sort themselves out. I find that funny 380 00:26:16,240 --> 00:26:19,480 Speaker 2: because you have to tell people how to sort yourself out. 381 00:26:19,520 --> 00:26:22,560 Speaker 2: Oh yeah, Oh, you think you're conservative, Well, here's what 382 00:26:22,600 --> 00:26:24,960 Speaker 2: it is. You think you're liberal, here's what it is. 383 00:26:25,240 --> 00:26:27,080 Speaker 2: You think you're a Marxist, will hear what it is. 384 00:26:27,960 --> 00:26:32,880 Speaker 2: Over the past fifteen years now, Democrat elitists have told 385 00:26:32,880 --> 00:26:36,040 Speaker 2: their voters, if you're with us, you believe this, you 386 00:26:36,119 --> 00:26:42,040 Speaker 2: believe this and this, and then the voters complied. Sociologists 387 00:26:42,080 --> 00:26:46,160 Speaker 2: by the name of All Garby calls it the luxury 388 00:26:46,240 --> 00:26:50,720 Speaker 2: believes policy positions that cost educated professionals nothing to hold 389 00:26:51,560 --> 00:26:54,440 Speaker 2: but signal membership that you belong to the proper class. 390 00:26:55,520 --> 00:26:59,240 Speaker 2: Defund the police sounds great if what if you lived 391 00:26:59,240 --> 00:27:02,320 Speaker 2: in a gated commune where you've got private security, you 392 00:27:02,359 --> 00:27:04,480 Speaker 2: have your own security detail. You don't care about to 393 00:27:04,560 --> 00:27:07,440 Speaker 2: fund the police. But it sounds good and it puts 394 00:27:07,480 --> 00:27:09,000 Speaker 2: you in the proper grouping. 395 00:27:09,119 --> 00:27:13,080 Speaker 1: Right. Well, here's the result today. 396 00:27:13,320 --> 00:27:18,119 Speaker 2: Fully fifty nine percent of Democrats identify as liberal. That's 397 00:27:18,240 --> 00:27:22,399 Speaker 2: up only seventeen percent from nineteen ninety two. So the 398 00:27:22,440 --> 00:27:25,919 Speaker 2: party didn't get dragged left by accident. If the party 399 00:27:26,000 --> 00:27:29,080 Speaker 2: was led to the far left. So when Obama and 400 00:27:29,119 --> 00:27:33,880 Speaker 2: Clinton are out there talking about moderation, here's what they're 401 00:27:33,880 --> 00:27:40,480 Speaker 2: actually doing. They're changing the language, but they don't change 402 00:27:40,840 --> 00:27:45,560 Speaker 2: the agenda. So Spamburger one in Virginia by running a 403 00:27:45,680 --> 00:27:51,440 Speaker 2: so called moderate campaign, right, then she immediately ended Virginia's 404 00:27:51,440 --> 00:27:55,640 Speaker 2: cooperation with ICE. But what did she do? She reframed 405 00:27:55,680 --> 00:28:00,560 Speaker 2: that as an anti crime measure, same policy, but in 406 00:28:00,560 --> 00:28:05,960 Speaker 2: her eyes, it's better optinges. That's not moderation, that's marketing. Oh, 407 00:28:06,000 --> 00:28:09,640 Speaker 2: the left's really good at marketing. We're conservatives. We're horrible 408 00:28:09,640 --> 00:28:13,359 Speaker 2: at marketing. But the voters know it. A Wall Street 409 00:28:13,400 --> 00:28:16,119 Speaker 2: Journal poll found that even though voters disapprove of Trump 410 00:28:16,160 --> 00:28:20,959 Speaker 2: on the economy, inflation, and immigration, they still trust congressional 411 00:28:21,040 --> 00:28:25,160 Speaker 2: Republicans over Democrats on those exact same issues. 412 00:28:26,119 --> 00:28:27,480 Speaker 1: Let that sink in for a moment. 413 00:28:29,080 --> 00:28:32,800 Speaker 2: Trump is underwater on some of those issues, and the 414 00:28:32,880 --> 00:28:36,760 Speaker 2: Democrats still can't close the sale because, as political scientist 415 00:28:36,840 --> 00:28:41,240 Speaker 2: Joshick Monk put it, most voters don't believe Democrats actually 416 00:28:41,480 --> 00:28:45,160 Speaker 2: had a change of heart. They believe, and correctly so, 417 00:28:45,760 --> 00:28:50,880 Speaker 2: that it's all performance, all performative politics. And now and 418 00:28:51,720 --> 00:28:55,960 Speaker 2: here's here's where Here's why I would say I would 419 00:28:55,960 --> 00:28:57,320 Speaker 2: be honest with you. But I've been honest with you 420 00:28:57,360 --> 00:29:00,120 Speaker 2: so far about all of this. This is not just 421 00:29:00,200 --> 00:29:04,000 Speaker 2: an opposition research file. There are some real warnings here 422 00:29:04,040 --> 00:29:07,280 Speaker 2: for Republicans too, because Gallup found that the share of 423 00:29:07,360 --> 00:29:11,200 Speaker 2: voters leaning Democrat rose from forty three to forty eight 424 00:29:11,200 --> 00:29:15,719 Speaker 2: percent last year, while the Republican number dropped from forty 425 00:29:15,800 --> 00:29:21,280 Speaker 2: seven to forty and that's a significant shift. Now, if 426 00:29:21,320 --> 00:29:24,040 Speaker 2: the administration keeps producing images that the left can use 427 00:29:24,080 --> 00:29:26,600 Speaker 2: to paint Republicans of the radical ones, then they're going 428 00:29:26,680 --> 00:29:30,120 Speaker 2: to have Democrats exactly the redemption narrative that the Democrats 429 00:29:30,200 --> 00:29:35,560 Speaker 2: need without the Democrats having to earn it. Jonathan Hate 430 00:29:35,640 --> 00:29:39,720 Speaker 2: psychologists till the New York Times that Democrats need what 431 00:29:39,800 --> 00:29:44,320 Speaker 2: he called a truth and reconciliation process like South Africa, right, 432 00:29:44,320 --> 00:29:48,240 Speaker 2: we need a truth or reconciliation commission for the damage 433 00:29:48,280 --> 00:29:53,240 Speaker 2: done during the canceled culture era. They need to firmly 434 00:29:53,360 --> 00:29:58,760 Speaker 2: renounce identitarianism. And until they do that, he claims, disaffected 435 00:29:58,840 --> 00:30:01,560 Speaker 2: moderates are it's not going to go back to the 436 00:30:01,600 --> 00:30:05,400 Speaker 2: Democrat Party. And I think he's right, but they haven't 437 00:30:05,440 --> 00:30:07,960 Speaker 2: done it. And based on everything that I'm seeing, the 438 00:30:08,280 --> 00:30:12,520 Speaker 2: Munich Security Conference Panel AOC. She cannot recover from it. 439 00:30:12,640 --> 00:30:16,120 Speaker 2: She's doing everything she can, but she's hearing from outsiders, 440 00:30:16,280 --> 00:30:18,240 Speaker 2: and she's hearing from with her own party. Yeah, you 441 00:30:18,320 --> 00:30:22,280 Speaker 2: screwed the pooch on that one. The California lawsuit about 442 00:30:22,280 --> 00:30:27,240 Speaker 2: transgenders and sports, the House floor performance. They're not going 443 00:30:27,280 --> 00:30:32,680 Speaker 2: to do it before the mid turns, which means the 444 00:30:32,800 --> 00:30:37,000 Speaker 2: choice in November isn't going to be a radicalized left 445 00:30:37,720 --> 00:30:41,040 Speaker 2: and a moderate left. It's going to be between a 446 00:30:41,160 --> 00:30:46,160 Speaker 2: radicalized left doing its best impression of a moderate left. 447 00:30:47,560 --> 00:30:51,280 Speaker 2: So here's the hard part for Republicans. Republicans are going 448 00:30:51,360 --> 00:30:53,760 Speaker 2: to have to decide whether they want to win on 449 00:30:53,840 --> 00:30:58,240 Speaker 2: the merits or hand their opponents a lifelong because the 450 00:30:58,320 --> 00:31:00,320 Speaker 2: question is whether Democrats have learned the law, and the 451 00:31:00,360 --> 00:31:03,040 Speaker 2: evidence says they have not learned the list listen. The 452 00:31:03,120 --> 00:31:06,080 Speaker 2: question of it is whether Republicans are smart enough to 453 00:31:06,160 --> 00:31:09,840 Speaker 2: make them pay for it. That's what they've got to do. 454 00:31:10,480 --> 00:31:13,000 Speaker 2: They're going to have to make them pay for it, 455 00:31:13,400 --> 00:31:16,000 Speaker 2: and I'm not convinced they have the ability to do that. 456 00:31:17,240 --> 00:31:22,520 Speaker 2: The radicalization of left is right behind the failure of 457 00:31:22,520 --> 00:31:26,240 Speaker 2: Democrats to moderate on trans race climate and so much 458 00:31:26,280 --> 00:31:32,040 Speaker 2: more so, they're just moderating in anticipation of the midterm elections. 459 00:31:33,200 --> 00:31:38,000 Speaker 2: That new Democrat coalition left a large center left blog 460 00:31:38,040 --> 00:31:42,239 Speaker 2: of Democrats. They actually urged the party last week to 461 00:31:42,320 --> 00:31:48,320 Speaker 2: adopt a more moderate approach focused on affordability, economic anxiety 462 00:31:48,680 --> 00:31:52,360 Speaker 2: rather than splashy populous promises and that thing thing I 463 00:31:52,400 --> 00:31:55,440 Speaker 2: told you about. Third Way published that polling just last 464 00:31:55,440 --> 00:31:57,880 Speaker 2: week showing that fifty five percent of young men want 465 00:31:57,880 --> 00:32:00,400 Speaker 2: the Democrat Party to be more moderate. So why do 466 00:32:00,440 --> 00:32:03,880 Speaker 2: you think we're hearing what we're hearing from Newsom and 467 00:32:03,960 --> 00:32:12,520 Speaker 2: AOC and everybody else. They're just performing, but they're still acting. 468 00:32:13,560 --> 00:32:16,760 Speaker 2: But you're not going to hear that acting from the cabal. 469 00:32:17,280 --> 00:32:19,760 Speaker 2: You're not going to see that acting in the cabal. 470 00:32:20,440 --> 00:32:23,240 Speaker 2: You're going to have to look for it, point it out. 471 00:32:23,560 --> 00:32:26,200 Speaker 2: So when your friends in your sphere of influence says, well, 472 00:32:26,240 --> 00:32:28,400 Speaker 2: you know that Nuslam he came out and said, you know, 473 00:32:28,400 --> 00:32:31,560 Speaker 2: it's just not fair for men to compete in women's sports. 474 00:32:32,840 --> 00:32:36,560 Speaker 2: That's where you have to understand the details and say, well, yeah, 475 00:32:36,560 --> 00:32:39,480 Speaker 2: I know he said that. You know what they're actually doing. 476 00:32:40,760 --> 00:32:43,640 Speaker 2: They're suing to make sure that those male athletes who 477 00:32:43,720 --> 00:32:48,720 Speaker 2: identify as women can still participate in women's sports. Now, 478 00:32:48,720 --> 00:32:50,840 Speaker 2: they're not going to believe you. You're gonna have to 479 00:32:50,840 --> 00:32:54,120 Speaker 2: show them that. You're going to point it out to them. 480 00:32:54,360 --> 00:32:57,560 Speaker 2: It's just like with junk Row two point zero. Wait 481 00:32:57,600 --> 00:33:00,840 Speaker 2: a minute, are you really saying that blacks are too 482 00:33:00,840 --> 00:33:04,920 Speaker 2: stupid to understand how to get a to get their 483 00:33:04,920 --> 00:33:05,680 Speaker 2: birth certificate? 484 00:33:06,960 --> 00:33:07,520 Speaker 1: Seriously? 485 00:33:08,800 --> 00:33:12,080 Speaker 2: You know one way would be simply ask your friends, 486 00:33:12,800 --> 00:33:14,800 Speaker 2: do you do you know how to get a birth certificate? 487 00:33:15,520 --> 00:33:17,800 Speaker 2: Do you know where to go or how to do it? 488 00:33:19,160 --> 00:33:23,560 Speaker 2: Let them think for a while. If they don't point 489 00:33:23,560 --> 00:33:28,320 Speaker 2: them to no, just point them to Google or Duck 490 00:33:28,400 --> 00:33:31,840 Speaker 2: Duck go or being or somebody. Just have you ever 491 00:33:31,880 --> 00:33:35,160 Speaker 2: looked it up? Have you ever thought about it? Let 492 00:33:35,200 --> 00:33:38,200 Speaker 2: them learn for themselves just how easy it is to 493 00:33:38,200 --> 00:33:41,200 Speaker 2: get a copy of your own birth certificate. Don't let 494 00:33:41,200 --> 00:33:47,120 Speaker 2: them listen to Gavin Newsom sitting there with well, I 495 00:33:47,160 --> 00:33:49,680 Speaker 2: forget who it was, the black congressman from the South 496 00:33:49,920 --> 00:33:51,560 Speaker 2: sitting there talking to you about Oh, this is just 497 00:33:51,600 --> 00:33:53,520 Speaker 2: little Jim Crow two point oh. I don't even know 498 00:33:53,520 --> 00:33:57,960 Speaker 2: where my birth certificate is. I may not know dragging 499 00:33:58,000 --> 00:34:01,240 Speaker 2: knows exactly where his is. I'm not sure where mine is, 500 00:34:01,720 --> 00:34:05,280 Speaker 2: but regardless, I know how to get one, and I 501 00:34:05,320 --> 00:34:07,600 Speaker 2: think anybody else that has half a brain woun know 502 00:34:07,640 --> 00:34:13,120 Speaker 2: how to get one too. So it's just performative. And remember, 503 00:34:13,640 --> 00:34:18,600 Speaker 2: they truly have moved further left. They've gone off the 504 00:34:18,680 --> 00:34:23,440 Speaker 2: deep end, they've gone full bore Marxism, and we've got 505 00:34:23,440 --> 00:34:24,080 Speaker 2: the receipts.