1 00:00:03,360 --> 00:00:07,840 Speaker 1: Warning you're about to enter the arena and join the 2 00:00:07,960 --> 00:00:09,360 Speaker 1: Battle to Save. 3 00:00:09,200 --> 00:00:13,160 Speaker 2: America with your host Sean Parnell. 4 00:00:14,600 --> 00:00:18,360 Speaker 3: What is up, battle crew? It is a great day 5 00:00:18,560 --> 00:00:22,040 Speaker 3: to be an American, And if you're noticing how I'm dressed, 6 00:00:22,160 --> 00:00:24,079 Speaker 3: it was a crazy day for me as well. But 7 00:00:24,520 --> 00:00:28,680 Speaker 3: from sea to signing Sea and everybody in between, Welcome Patriots. 8 00:00:28,840 --> 00:00:32,400 Speaker 3: Let's get in the arena. Grab your freaking helmet because 9 00:00:32,400 --> 00:00:36,080 Speaker 3: it might be a bumpy ride. We've got Savage Rich 10 00:00:36,240 --> 00:00:40,200 Speaker 3: Barris on deck with a whole host of new poles. 11 00:00:40,960 --> 00:00:44,720 Speaker 3: One of these poles is for the keystone state of Pennsylvania, 12 00:00:45,240 --> 00:00:48,839 Speaker 3: my home state, and I would argue the lynchpin for 13 00:00:48,960 --> 00:00:52,839 Speaker 3: the entire country hinges on this state. Yeah, there are 14 00:00:52,880 --> 00:00:57,560 Speaker 3: other battleground states, swing states that are of vast importance, 15 00:00:57,640 --> 00:01:03,760 Speaker 3: but Pennsylvania, chances are Pennsylvania falls in line than Wisconsin, 16 00:01:03,800 --> 00:01:07,119 Speaker 3: North Carolina, Arizona, Nevada, Georgia. All of those other states 17 00:01:07,120 --> 00:01:11,039 Speaker 3: will likely fall in line as well. But as you 18 00:01:11,080 --> 00:01:13,640 Speaker 3: all know, you know how I feel about Rich. We 19 00:01:13,760 --> 00:01:16,360 Speaker 3: got some awesome news about Winston to update you all on, 20 00:01:16,720 --> 00:01:18,680 Speaker 3: but I've got to do a full explanation of those 21 00:01:18,760 --> 00:01:23,920 Speaker 3: registration transaction numbers in Arizona, Texas and Pennsylvania. Did some 22 00:01:24,000 --> 00:01:28,200 Speaker 3: deep dive research on them last night after the show 23 00:01:28,880 --> 00:01:32,240 Speaker 3: to figure out what's really going on. Huge election integrity 24 00:01:32,280 --> 00:01:34,920 Speaker 3: win in the state of Wisconsin, and of course Savage 25 00:01:35,000 --> 00:01:37,720 Speaker 3: rich and so much more. Okay, before we jump right in, 26 00:01:37,760 --> 00:01:39,920 Speaker 3: I've got to thank Jeffrey and I gotta thank Jojo 27 00:01:40,080 --> 00:01:43,360 Speaker 3: for the Rumble Rant tips. One hundred percent of the 28 00:01:43,400 --> 00:01:45,319 Speaker 3: tips that we get on the show go to the 29 00:01:45,360 --> 00:01:49,440 Speaker 3: Studio fund, and Commander Melanie is getting smart on locals 30 00:01:49,480 --> 00:01:52,240 Speaker 3: as we speak. Yes, it's taking a little longer than 31 00:01:52,920 --> 00:01:56,480 Speaker 3: we expected because we're not as tech savvy as we 32 00:01:56,600 --> 00:01:58,920 Speaker 3: used to be. It turns out all our kids know 33 00:01:59,160 --> 00:02:01,640 Speaker 3: all about all these ray apps. Commander Melanie takes and 34 00:02:01,680 --> 00:02:03,960 Speaker 3: I takes a little bit longer, but we're getting there. 35 00:02:04,440 --> 00:02:07,360 Speaker 3: So thank you. I'm so grateful for you, the battle crew, 36 00:02:07,440 --> 00:02:09,120 Speaker 3: and grateful that you all gave me a little bit 37 00:02:09,160 --> 00:02:13,280 Speaker 3: of time today and integrated me in battleground live into 38 00:02:13,320 --> 00:02:16,560 Speaker 3: your lives. Okay, listen, there are all of these people 39 00:02:16,720 --> 00:02:18,839 Speaker 3: just jumping right off the top rope and into the fight. 40 00:02:18,919 --> 00:02:21,840 Speaker 3: Here for a second, there are lots of conservatives, and 41 00:02:22,200 --> 00:02:26,280 Speaker 3: I think rightfully, so there are lots of conservatives concerned 42 00:02:26,320 --> 00:02:32,720 Speaker 3: about this, the numbers of registrations without identifications, and I 43 00:02:32,840 --> 00:02:35,000 Speaker 3: showed you and did a breakdown of this for you 44 00:02:35,120 --> 00:02:38,920 Speaker 3: yesterday on the show. The numbers specifically that we talked 45 00:02:38,919 --> 00:02:42,280 Speaker 3: about yesterday were from Texas, Pennsylvania, and Arizona. One point 46 00:02:42,320 --> 00:02:47,880 Speaker 3: two million what they call transactions in Texas, five hundred 47 00:02:47,880 --> 00:02:50,119 Speaker 3: and eighty thousand in Pennsylvania, and two hundred and twenty 48 00:02:50,160 --> 00:02:54,120 Speaker 3: thousand thereabouts in the year of twenty twenty four in Arizona. 49 00:02:55,040 --> 00:02:59,360 Speaker 3: But it's deceiving, and I think conservatives online, while meaning well, 50 00:02:59,520 --> 00:03:02,880 Speaker 3: are kind of getting this a little wrong. Are the 51 00:03:03,000 --> 00:03:07,920 Speaker 3: numbers suspicious in swing states? One hundred percent? I'll explain 52 00:03:08,000 --> 00:03:10,160 Speaker 3: to you why in a second and why they need 53 00:03:10,200 --> 00:03:12,840 Speaker 3: to be looked into. But there's more to this than 54 00:03:12,880 --> 00:03:15,760 Speaker 3: meets the eye. And I think the focus is defining 55 00:03:15,919 --> 00:03:19,640 Speaker 3: what the word transaction means. There are a lot of 56 00:03:19,680 --> 00:03:24,520 Speaker 3: people out there that are immediately associating the term transaction 57 00:03:25,000 --> 00:03:31,360 Speaker 3: with registration and that's not necessarily true. So helping America 58 00:03:31,560 --> 00:03:34,760 Speaker 3: vote act because that's really what's in question and what 59 00:03:34,800 --> 00:03:37,000 Speaker 3: we talked about in Milda in yesterday on the show. 60 00:03:37,560 --> 00:03:41,440 Speaker 3: But the help America Vote Act was overwhelmingly passed in 61 00:03:41,520 --> 00:03:45,560 Speaker 3: two thousand and two. It allows you to register in 62 00:03:45,600 --> 00:03:48,840 Speaker 3: your state to vote using only the last four of 63 00:03:48,840 --> 00:03:51,560 Speaker 3: your Social Security number. If you didn't have any other 64 00:03:51,680 --> 00:03:54,800 Speaker 3: form of identification, you could use this. And they said, 65 00:03:54,880 --> 00:03:56,839 Speaker 3: actually right there in the bill that the last four 66 00:03:56,880 --> 00:04:01,080 Speaker 3: of the social was meant to protect private see and 67 00:04:01,120 --> 00:04:03,280 Speaker 3: I said on the show, like, some of this stuff 68 00:04:03,360 --> 00:04:07,120 Speaker 3: is completely legitimate, because you know, for example, the Amish 69 00:04:07,160 --> 00:04:10,080 Speaker 3: don't have driver's license, but they have social Security numbers, 70 00:04:10,080 --> 00:04:12,720 Speaker 3: and it's good that we can register them with the 71 00:04:12,840 --> 00:04:15,440 Speaker 3: last four because they're buying large going to break Republican 72 00:04:15,520 --> 00:04:19,920 Speaker 3: all the time. So as part of the Helping America 73 00:04:20,080 --> 00:04:24,159 Speaker 3: Vote Act, each state was required to set up an 74 00:04:24,279 --> 00:04:30,840 Speaker 3: arrangement with the Social Security Administrate Administration. If someone registered 75 00:04:30,880 --> 00:04:34,840 Speaker 3: to vote, the state is supposed to ask the Social 76 00:04:34,839 --> 00:04:39,760 Speaker 3: Security Administration to verify if the last four numbers match 77 00:04:39,839 --> 00:04:44,480 Speaker 3: the number associated with the name of the applicant. Each 78 00:04:44,640 --> 00:04:48,919 Speaker 3: time they are asked asked to report, they call that 79 00:04:49,040 --> 00:04:53,440 Speaker 3: a transaction, so you see, that's not necessarily a voter 80 00:04:53,720 --> 00:04:58,120 Speaker 3: registration per se. Each time they ask for a report 81 00:04:58,240 --> 00:05:02,040 Speaker 3: from the Social Security Administration to verify if the last 82 00:05:02,120 --> 00:05:05,960 Speaker 3: four matches the applicant, they register that as a transaction. 83 00:05:06,080 --> 00:05:08,479 Speaker 3: So the numbers that we reported Texas one point two million, 84 00:05:08,680 --> 00:05:11,440 Speaker 3: Pennsylvania five hundred and thousand, Arizona two hundred and twenty 85 00:05:11,440 --> 00:05:15,040 Speaker 3: thousand doesn't necessarily mean these are voter registrations. They could be, 86 00:05:15,320 --> 00:05:18,560 Speaker 3: but it's not a slam dunk. So the Social Security 87 00:05:18,600 --> 00:05:24,520 Speaker 3: Administration is supposed to confirm if it's a legit application. 88 00:05:25,279 --> 00:05:29,800 Speaker 3: For instance, right there in the bill, the Social Security 89 00:05:30,120 --> 00:05:33,640 Speaker 3: Administration is supposed to verify if the voter is in 90 00:05:33,720 --> 00:05:37,440 Speaker 3: fact alive. Kind of important given that dead people voted 91 00:05:37,480 --> 00:05:40,640 Speaker 3: in twenty twenty, and dead people tend to break Democrat 92 00:05:41,279 --> 00:05:46,800 Speaker 3: every single time that they vote. Here's the rub, and 93 00:05:46,800 --> 00:05:48,599 Speaker 3: this is where I think it's important, because if you 94 00:05:48,640 --> 00:05:51,520 Speaker 3: get your work authorization, as in the legal alien, you 95 00:05:51,600 --> 00:05:54,160 Speaker 3: can you get a Social Security number and you might 96 00:05:54,160 --> 00:05:58,080 Speaker 3: be able to leverage this program. I did not see 97 00:05:58,120 --> 00:06:01,720 Speaker 3: any language in the act, and I combed through it 98 00:06:01,839 --> 00:06:05,400 Speaker 3: yesterday and and spend some time doing it this morning. 99 00:06:06,240 --> 00:06:10,719 Speaker 3: I didn't see any language about the Social Security Administration 100 00:06:10,920 --> 00:06:14,279 Speaker 3: verifying citizenship. And you'd think that would be important given 101 00:06:14,320 --> 00:06:17,720 Speaker 3: that only citizens can vote here in this country now 102 00:06:19,000 --> 00:06:23,760 Speaker 3: the Social Security Administration knows if you're a citizen, and 103 00:06:23,800 --> 00:06:27,240 Speaker 3: they know if the person who is applying is a citizen. 104 00:06:27,839 --> 00:06:31,760 Speaker 3: So here's the rub, and this is the most important 105 00:06:31,800 --> 00:06:36,120 Speaker 3: part that so many conservatives are missing. The main question 106 00:06:36,440 --> 00:06:41,120 Speaker 3: is this, and we have to get smart on this now, 107 00:06:41,160 --> 00:06:44,880 Speaker 3: not six months from now. Now. And the question is 108 00:06:44,920 --> 00:06:49,200 Speaker 3: does the Social Security Administration provide information back to the 109 00:06:49,240 --> 00:06:51,840 Speaker 3: state about whether or not the person who's registering is 110 00:06:51,880 --> 00:06:56,320 Speaker 3: actually a citizen. Do they tell them we have a 111 00:06:56,400 --> 00:07:00,000 Speaker 3: number and a name match, but the person isn't a citizen. 112 00:07:00,960 --> 00:07:05,560 Speaker 3: If they don't, they one hundred percent should. But do 113 00:07:05,600 --> 00:07:10,360 Speaker 3: they the transaction is performed to determine if the vote 114 00:07:10,360 --> 00:07:13,080 Speaker 3: registration is valid. If the numbers don't match or records 115 00:07:13,080 --> 00:07:16,720 Speaker 3: show decease, they tell the state no, the application is rejected. 116 00:07:17,400 --> 00:07:20,840 Speaker 3: So they definitely should tell the state if a record 117 00:07:20,880 --> 00:07:23,440 Speaker 3: comes up as a non citizen. But here's the deal. 118 00:07:23,920 --> 00:07:28,280 Speaker 3: There's nothing in the build that requires it. So if 119 00:07:28,320 --> 00:07:31,920 Speaker 3: there's some high level leftists in the Social Security Administration 120 00:07:32,240 --> 00:07:36,559 Speaker 3: or a leftist you know, political appointee, I can one 121 00:07:36,640 --> 00:07:41,600 Speaker 3: hundred percent see see that whoever this person might be 122 00:07:41,760 --> 00:07:45,840 Speaker 3: telling them not to check. And when you review some 123 00:07:46,000 --> 00:07:49,960 Speaker 3: of the state laws, which is a huge task. But 124 00:07:50,080 --> 00:07:54,320 Speaker 3: I looked at Washington State because they're insanely liberal and 125 00:07:54,400 --> 00:07:58,440 Speaker 3: I wanted to see how liberals kind of saw this issue. 126 00:07:58,720 --> 00:08:04,000 Speaker 3: But the only law, like Washington State law only, the 127 00:08:04,080 --> 00:08:08,520 Speaker 3: only proof of citizenship verification that you need was checking 128 00:08:08,560 --> 00:08:11,000 Speaker 3: the block at the time that you register, saying you're 129 00:08:11,040 --> 00:08:15,160 Speaker 3: a citizen. But people could lie about that all the time. 130 00:08:15,560 --> 00:08:17,960 Speaker 3: For all we know, there's one of these, you know, 131 00:08:18,160 --> 00:08:21,600 Speaker 3: non governmental organizations or the NGOs that are helping these 132 00:08:21,640 --> 00:08:24,440 Speaker 3: illegal invaders get across the southern border. For all we know, 133 00:08:24,520 --> 00:08:27,200 Speaker 3: there's some NGO with a cheat sheet telling people how 134 00:08:27,240 --> 00:08:29,840 Speaker 3: to register to vote with a Social Security number. You know, 135 00:08:29,920 --> 00:08:33,680 Speaker 3: this could be happening, But this should be pretty damn 136 00:08:33,800 --> 00:08:37,920 Speaker 3: easy for the government to audit this. Is that going 137 00:08:37,920 --> 00:08:42,440 Speaker 3: to happen in Pennsylvania with a Democrat governor? The answer is, 138 00:08:42,480 --> 00:08:45,320 Speaker 3: of course no, there is no way in hell Josh 139 00:08:45,320 --> 00:08:48,960 Speaker 3: Shapiro is going to audit this. Now, how about Arizona 140 00:08:49,120 --> 00:08:53,120 Speaker 3: Democrat governor in Arizona as well, with Katie Hobbs. Right, yep, 141 00:08:53,640 --> 00:08:57,560 Speaker 3: there's no way in hell Governor Hobbes is going to 142 00:08:57,600 --> 00:09:02,720 Speaker 3: audit this. So that task then falls to Texas, a 143 00:09:02,880 --> 00:09:07,280 Speaker 3: red state, a red state legislator Ken Paxton, who is 144 00:09:07,320 --> 00:09:12,160 Speaker 3: a patriot as your attorney general. My message to Ken 145 00:09:12,200 --> 00:09:15,360 Speaker 3: Paxton into the Patriots down and test Texas is that 146 00:09:15,520 --> 00:09:21,680 Speaker 3: this task falls to you now and you cannot wait. Okay, 147 00:09:22,480 --> 00:09:26,720 Speaker 3: Ken Paxton, Governor Abbott, I know members of the Texas 148 00:09:26,760 --> 00:09:29,960 Speaker 3: State Legislature watch and listen to this show. But my 149 00:09:30,120 --> 00:09:34,960 Speaker 3: message to you is you cannot wait until Biden miraculously 150 00:09:35,040 --> 00:09:38,679 Speaker 3: wins Texas with a vote count that's higher than the 151 00:09:38,760 --> 00:09:42,760 Speaker 3: state's census. So you have to look into it after 152 00:09:42,760 --> 00:09:46,280 Speaker 3: the election's over. Is too late, and Texas is the 153 00:09:46,360 --> 00:09:51,079 Speaker 3: only state with the right political makeup and the wherewithal 154 00:09:51,200 --> 00:09:53,040 Speaker 3: to do it, and all you would have to do. 155 00:09:53,800 --> 00:09:57,000 Speaker 3: If you're listening to me, please listen, listen, listen. Take 156 00:09:57,040 --> 00:10:00,280 Speaker 3: my advice. Grab a thousand names off of one of 157 00:10:00,320 --> 00:10:04,000 Speaker 3: these Helping America Vote Act lists. Grab a thousand names 158 00:10:04,520 --> 00:10:07,800 Speaker 3: and check this this citizenship status with your state department, 159 00:10:08,080 --> 00:10:11,719 Speaker 3: the Texas State Department, see if they're citizens. If you're 160 00:10:11,760 --> 00:10:14,559 Speaker 3: finding issues in those thousand names, well then you can 161 00:10:14,600 --> 00:10:18,200 Speaker 3: do a much larger audit. This would take you twenty 162 00:10:18,200 --> 00:10:22,320 Speaker 3: four hours. Do it now before it's too late, because 163 00:10:22,360 --> 00:10:25,440 Speaker 3: I promise you, if we don't, the Democrats are going 164 00:10:25,480 --> 00:10:27,640 Speaker 3: to use it to win, and after the game is 165 00:10:27,760 --> 00:10:32,120 Speaker 3: already already done, after the fight is over, it's too late. Okay, 166 00:10:33,000 --> 00:10:35,880 Speaker 3: very quickly, I got to talk about the post millennial headline, 167 00:10:35,920 --> 00:10:40,520 Speaker 3: and that's Wisconsin voters overwhelmingly voting to ban Zuckerbucks in 168 00:10:40,559 --> 00:10:44,840 Speaker 3: private election funding. This is huge, folks. And so there 169 00:10:44,840 --> 00:10:47,920 Speaker 3: are a couple major, you know, big takeaways for election 170 00:10:48,000 --> 00:10:50,640 Speaker 3: integrity and some real interesting polling. We're going to get 171 00:10:50,679 --> 00:10:52,439 Speaker 3: into that with Savage Rich here in a second. He's 172 00:10:52,440 --> 00:10:55,120 Speaker 3: gonna break it all down for us. But Zuckerbucks one 173 00:10:55,200 --> 00:10:59,800 Speaker 3: hundred percent in swing states, swing county, swing districts swayed 174 00:10:59,840 --> 00:11:03,199 Speaker 3: the election for Biden. Whether or he got a eighty 175 00:11:03,240 --> 00:11:09,160 Speaker 3: one million legitimate votes he didn't, but is certainly up 176 00:11:09,200 --> 00:11:11,880 Speaker 3: in the air. It's up for debate. Democrats would say 177 00:11:11,920 --> 00:11:14,679 Speaker 3: he did. There's no way in hell that he did. 178 00:11:15,040 --> 00:11:18,480 Speaker 3: But you can bet your ass that Zuckerbucks in the 179 00:11:18,559 --> 00:11:24,000 Speaker 3: Swing States, hundreds of millions of dollars spent on unsupervised 180 00:11:24,080 --> 00:11:28,840 Speaker 3: drop boxes in heavily Democrat areas, systematically changing and voting 181 00:11:28,880 --> 00:11:34,400 Speaker 3: an election law basically a shadow army of private employees 182 00:11:34,720 --> 00:11:37,719 Speaker 3: in a Democrat get out the vote effort. You can 183 00:11:37,760 --> 00:11:41,440 Speaker 3: bet that this swayed the election, especially in a state 184 00:11:41,520 --> 00:11:45,560 Speaker 3: like Pennsylvania in twenty twenty. Okay, Wisconsin just voted to 185 00:11:45,640 --> 00:11:49,280 Speaker 3: not allow it. That is a huge, huge win. So 186 00:11:49,320 --> 00:11:51,400 Speaker 3: when I tell you on this show to keep the faith, 187 00:11:51,559 --> 00:11:56,000 Speaker 3: that's what I mean. Keep the faith, you know, don't 188 00:11:56,040 --> 00:11:58,480 Speaker 3: just keep the faith though, take action, do whatever you 189 00:11:58,559 --> 00:12:01,040 Speaker 3: have to do in your home state to help sway 190 00:12:01,080 --> 00:12:04,960 Speaker 3: and win this race. Because we are winning right now. Okay, 191 00:12:05,760 --> 00:12:08,000 Speaker 3: we got Savage Rich. So let's get Savage Rich up 192 00:12:08,000 --> 00:12:11,000 Speaker 3: on the screen here. Let's go, No, Savage, look at 193 00:12:11,040 --> 00:12:12,679 Speaker 3: you your bit. What are you trying to get a 194 00:12:12,760 --> 00:12:16,360 Speaker 3: vape in before you? Hey? 195 00:12:16,720 --> 00:12:19,440 Speaker 2: Did you tell that? Did you see that backstage? Or 196 00:12:19,480 --> 00:12:20,480 Speaker 2: did you get it live? 197 00:12:20,880 --> 00:12:23,520 Speaker 3: I did? I see? I see how you are. But 198 00:12:23,559 --> 00:12:25,560 Speaker 3: here's let me tell you about vaping for a second. 199 00:12:26,160 --> 00:12:27,600 Speaker 3: Does what you do right? It's a vape? 200 00:12:27,760 --> 00:12:29,320 Speaker 2: It's a vape? Yeah, vaping? 201 00:12:29,520 --> 00:12:33,160 Speaker 3: Okay, So, and I, like Savage, you will likely kill me, 202 00:12:33,200 --> 00:12:36,600 Speaker 3: so I acknowledge this ahead of time. Okay, But vaping 203 00:12:36,679 --> 00:12:38,800 Speaker 3: is kind of dorky. It's kind of like you're smoking 204 00:12:38,920 --> 00:12:42,360 Speaker 3: smoking a jumpstick. If you're gonna if you're gonna take 205 00:12:42,400 --> 00:12:45,280 Speaker 3: a risk, right, a calculated risk, and do something that 206 00:12:45,360 --> 00:12:48,560 Speaker 3: is maybe bad for your health. There's nothing cooler than smoking. 207 00:12:48,679 --> 00:12:50,320 Speaker 3: And I hope that my kids aren't listening to this 208 00:12:50,360 --> 00:12:52,319 Speaker 3: because smoking is really bad for your health. You should 209 00:12:52,400 --> 00:12:56,079 Speaker 3: not do it, Sean I have. I've been known to 210 00:12:56,200 --> 00:12:57,160 Speaker 3: smoke on occasion. 211 00:12:57,520 --> 00:13:00,520 Speaker 2: Yeah, I like it. I like cigars still, but I 212 00:13:00,520 --> 00:13:07,160 Speaker 2: haven't had a cigarette in many, many, many years. Laura wants. 213 00:13:07,360 --> 00:13:10,320 Speaker 2: I knew she was in the room, I knew she's 214 00:13:10,440 --> 00:13:13,480 Speaker 2: listening in the other room, and she yelled, I want 215 00:13:13,480 --> 00:13:17,679 Speaker 2: one every day, and she does. It's different. I don't 216 00:13:17,679 --> 00:13:20,000 Speaker 2: want one. Even when I am like Jones in for 217 00:13:20,080 --> 00:13:21,760 Speaker 2: a vape. I don't want a cigarette. 218 00:13:22,160 --> 00:13:23,040 Speaker 3: I want a vape. 219 00:13:23,360 --> 00:13:27,440 Speaker 2: Yeah, which is weirdly Yeah, even though it looks like 220 00:13:27,440 --> 00:13:31,120 Speaker 2: you're smoking a jumpstick. Yeah, it's like, I'll tell you what. 221 00:13:31,440 --> 00:13:34,760 Speaker 2: In some respects, I certainly feel better. Like when I 222 00:13:34,840 --> 00:13:36,960 Speaker 2: used to smoke cigarettes, I could feel my chest and 223 00:13:37,000 --> 00:13:39,000 Speaker 2: you were in the army man, like there's no doubt. 224 00:13:39,120 --> 00:13:42,320 Speaker 2: Like I could run a lot farther, a lot faster. 225 00:13:42,880 --> 00:13:44,800 Speaker 2: I used to love, right one. I used to love 226 00:13:44,840 --> 00:13:46,920 Speaker 2: to run Sean. And one thing I missed with these 227 00:13:47,000 --> 00:13:50,120 Speaker 2: damn pins in my hip is running. I let now 228 00:13:50,160 --> 00:13:53,920 Speaker 2: I swim, but I used to run and could run forever. 229 00:13:54,040 --> 00:13:56,600 Speaker 2: I remember when I first decided to join, I was like, God, 230 00:13:56,640 --> 00:13:59,360 Speaker 2: how the hell am I gonna dude? You know what? 231 00:13:59,600 --> 00:14:01,600 Speaker 2: The run is going to be the toughest thing, Like 232 00:14:01,679 --> 00:14:03,800 Speaker 2: I can do a thousand chin up signing down. It 233 00:14:03,880 --> 00:14:06,720 Speaker 2: was an animal back then. But I wasn't a runner. 234 00:14:07,320 --> 00:14:11,200 Speaker 2: And I had eight months for debt delayed entry, right 235 00:14:11,240 --> 00:14:13,360 Speaker 2: to delay so you could get in shape. And it 236 00:14:13,400 --> 00:14:15,080 Speaker 2: wasn't because I wasn't in shape. It was because of 237 00:14:15,080 --> 00:14:16,760 Speaker 2: what I signed up to do. They wanted you to 238 00:14:16,800 --> 00:14:18,800 Speaker 2: do it. They were hoping you would take that time 239 00:14:18,920 --> 00:14:20,800 Speaker 2: to not be a you know what bag. You know 240 00:14:20,880 --> 00:14:24,040 Speaker 2: it's heard and that so when you get there you're 241 00:14:24,080 --> 00:14:28,400 Speaker 2: not just useless. And yet still in my platoon there 242 00:14:28,480 --> 00:14:32,160 Speaker 2: was still like overweight guys who thought they were going 243 00:14:32,240 --> 00:14:35,080 Speaker 2: to be able to get through SFAs or something. One guy, 244 00:14:35,240 --> 00:14:37,320 Speaker 2: I'll mean, I don't even go up the rails here. 245 00:14:37,360 --> 00:14:42,000 Speaker 2: But Sean, the heart of the indomitable human spirit, he 246 00:14:42,160 --> 00:14:46,080 Speaker 2: wanted this so bad he literally cracked himself in a run. 247 00:14:46,280 --> 00:14:51,080 Speaker 2: And by that time. You know what I'm talking about. 248 00:14:50,880 --> 00:14:54,880 Speaker 3: You personal, not personally, but yes I do, but. 249 00:14:54,960 --> 00:14:57,960 Speaker 2: You know other people who do. I'll never forget getting 250 00:14:58,040 --> 00:15:01,040 Speaker 2: to those damn tank tracks. And and then looking at 251 00:15:01,040 --> 00:15:03,600 Speaker 2: his first sergeant, I could see his his chest too. 252 00:15:03,640 --> 00:15:05,520 Speaker 2: He had the flight of feet or something what is 253 00:15:05,560 --> 00:15:09,280 Speaker 2: that called, you know, and the idea he was a pathliner. 254 00:15:09,360 --> 00:15:11,480 Speaker 2: I'm like, oh, we're in. We're in for it. And 255 00:15:11,720 --> 00:15:14,360 Speaker 2: by that time, mom, I was already a pretty good runner. 256 00:15:14,600 --> 00:15:16,480 Speaker 2: But you're in full combat boots at this point. You 257 00:15:16,480 --> 00:15:18,360 Speaker 2: don't get the change in your PT you know. And 258 00:15:18,400 --> 00:15:21,040 Speaker 2: he's like, yep, catch up and that's all. And he 259 00:15:21,160 --> 00:15:23,440 Speaker 2: just took off or keep up? He said, keep up, 260 00:15:23,760 --> 00:15:26,160 Speaker 2: and he just kept up and he just took off. 261 00:15:26,200 --> 00:15:32,880 Speaker 2: And poor Sarcus man, he was like, and I'm like, Sarcus, 262 00:15:32,920 --> 00:15:36,160 Speaker 2: you were in basic training. Why are you still javett shit? 263 00:15:36,400 --> 00:15:42,200 Speaker 2: You know? And we we had a duo set together, 264 00:15:42,240 --> 00:15:44,120 Speaker 2: which you probably did too, you know. 265 00:15:44,200 --> 00:15:47,120 Speaker 3: Okay, wait, time out, time out. Listen. S FAS is 266 00:15:47,200 --> 00:15:49,520 Speaker 3: Special Forces Assessment and Selection. 267 00:15:49,720 --> 00:15:51,880 Speaker 2: Yeah, so people don't know what the hell we're talking about, right, 268 00:15:52,120 --> 00:15:54,760 Speaker 2: And with eighteen X ray, they'll like you actually send 269 00:15:54,800 --> 00:15:57,880 Speaker 2: you to something first called sop C, which is Special Operations, 270 00:15:57,920 --> 00:16:01,000 Speaker 2: Preparatory and Conditioning, And it's like a couple of weeks, 271 00:16:01,000 --> 00:16:04,760 Speaker 2: three weeks, I think, and they they it's physical and 272 00:16:04,800 --> 00:16:07,400 Speaker 2: it's land NAV because everybody fails land nav and SFA 273 00:16:07,520 --> 00:16:10,320 Speaker 2: as folks. For those who don't know, you. 274 00:16:10,360 --> 00:16:12,200 Speaker 3: Do the star Corse there and it's brutal. 275 00:16:12,240 --> 00:16:16,000 Speaker 2: Oh yeah, it's brutal and uh anyway, sarcus. I gotta 276 00:16:16,040 --> 00:16:19,920 Speaker 2: tell you though, Sean, he did not stop running. He 277 00:16:20,040 --> 00:16:23,480 Speaker 2: crapped all over down the sand and it's coming out 278 00:16:23,480 --> 00:16:26,040 Speaker 2: of like the end of his boots and flying everywhere, 279 00:16:26,080 --> 00:16:26,720 Speaker 2: and people were. 280 00:16:26,680 --> 00:16:29,080 Speaker 3: Like, Bode, but he can't. 281 00:16:29,120 --> 00:16:31,440 Speaker 2: But I'll tell you what, I had most, utmost respect 282 00:16:31,440 --> 00:16:33,440 Speaker 2: for this kid, and because he just ca he wasn't 283 00:16:33,440 --> 00:16:35,280 Speaker 2: a kid. He was twenty something years old at the time. 284 00:16:35,360 --> 00:16:36,920 Speaker 2: You know, I was one of the youngest ones at 285 00:16:36,960 --> 00:16:40,200 Speaker 2: like twenty one or two or something like that. And yeah, 286 00:16:40,240 --> 00:16:42,600 Speaker 2: the average in our class was like twenty eight years old, 287 00:16:42,640 --> 00:16:44,640 Speaker 2: so it was like an older class because that that's 288 00:16:44,680 --> 00:16:47,560 Speaker 2: what it was. With that And he did it, brother, 289 00:16:47,680 --> 00:16:50,560 Speaker 2: he did it, and I had the respect for him. 290 00:16:50,560 --> 00:16:53,600 Speaker 2: But I loved by that time, I could just run 291 00:16:54,040 --> 00:16:57,360 Speaker 2: and run and run. I remember thinking how am I 292 00:16:57,400 --> 00:16:59,200 Speaker 2: going to do this? And the very first run I 293 00:16:59,240 --> 00:17:03,720 Speaker 2: did as a sip like a civilian getting ready. I 294 00:17:03,760 --> 00:17:06,000 Speaker 2: was already in martial arts and doing all this stuff. 295 00:17:06,240 --> 00:17:08,240 Speaker 2: It's not the same, so like I'm sucking on the 296 00:17:08,240 --> 00:17:11,520 Speaker 2: two mile, you know. But but I just loved it, man, 297 00:17:11,680 --> 00:17:14,399 Speaker 2: I just something snapped in me and I could just 298 00:17:14,520 --> 00:17:18,359 Speaker 2: run for After like a few weeks, my body just 299 00:17:19,200 --> 00:17:22,920 Speaker 2: acclimated and I could run forever, and I gave it. I'moking. 300 00:17:22,960 --> 00:17:25,280 Speaker 3: Then I had to tell you I kind of had 301 00:17:25,280 --> 00:17:28,679 Speaker 3: a similar experience, so I I was, let me just 302 00:17:28,720 --> 00:17:31,040 Speaker 3: tell you this, I hate running. I hated running when 303 00:17:31,040 --> 00:17:33,000 Speaker 3: I was in the Army when they forced me to 304 00:17:33,080 --> 00:17:35,680 Speaker 3: do it for work, and now every time every time 305 00:17:35,720 --> 00:17:38,119 Speaker 3: I run, it makes it feel like it's work because 306 00:17:38,119 --> 00:17:40,040 Speaker 3: it was part of my job. But I was probably 307 00:17:40,160 --> 00:17:42,920 Speaker 3: close to six two and a half two hundred and 308 00:17:42,920 --> 00:17:45,879 Speaker 3: twenty five pounds and running a six minute mile, and 309 00:17:46,600 --> 00:17:48,359 Speaker 3: because you know, it's in the light, I was in 310 00:17:48,400 --> 00:17:51,199 Speaker 3: the light, infantree. I was in my mid twenties. And 311 00:17:51,280 --> 00:17:53,439 Speaker 3: not to like derail the whole conversation because we have 312 00:17:53,480 --> 00:17:56,520 Speaker 3: lots of like poling and news, but I had to 313 00:17:56,520 --> 00:17:59,359 Speaker 3: tell you, man, there are times in Afghanistan and I 314 00:17:59,640 --> 00:18:03,240 Speaker 3: did not smoke before I went to Afghanistan, but get 315 00:18:03,400 --> 00:18:06,680 Speaker 3: your ass shot off for eight months at that point, 316 00:18:06,760 --> 00:18:09,919 Speaker 3: and I remember, we got this mission and because it 317 00:18:09,920 --> 00:18:12,600 Speaker 3: gets it just got so bad over there. I mean, 318 00:18:12,640 --> 00:18:15,560 Speaker 3: I it was just so bad on when we were there. 319 00:18:16,320 --> 00:18:20,199 Speaker 3: And here's the thing, like we we pre poe like 320 00:18:20,440 --> 00:18:24,159 Speaker 3: just outside the mountains that separated Afghanistan from Pakistan. On 321 00:18:24,160 --> 00:18:27,120 Speaker 3: this mission, we knew exactly what we're doing on the objective. 322 00:18:27,119 --> 00:18:29,199 Speaker 3: We were going to assault this house and stuff like that, 323 00:18:29,400 --> 00:18:31,880 Speaker 3: and we there's supposed to be some high value target there, 324 00:18:32,480 --> 00:18:35,520 Speaker 3: but we knew based on our intelligence in the area 325 00:18:35,560 --> 00:18:37,560 Speaker 3: that there were that there were the enemy was em 326 00:18:37,560 --> 00:18:39,600 Speaker 3: placed in an ambush waiting for us to go in, 327 00:18:39,720 --> 00:18:41,679 Speaker 3: and it didn't matter. Our mission was to go in 328 00:18:41,760 --> 00:18:45,200 Speaker 3: anyway and get ambushed. And so when you know you're 329 00:18:45,240 --> 00:18:47,560 Speaker 3: about to like drive in and get shot at, that's 330 00:18:47,560 --> 00:18:52,439 Speaker 3: a whole nother thing. Like getting yeah, yeah, absolutely so 331 00:18:52,520 --> 00:18:55,080 Speaker 3: like getting ambush when you're not expecting it is crazy 332 00:18:55,280 --> 00:18:58,320 Speaker 3: and that that sucks too. But knowing you're going to 333 00:18:58,480 --> 00:19:01,080 Speaker 3: drive into an ambush and knowing that you might not 334 00:19:01,160 --> 00:19:04,120 Speaker 3: make it out, I'm sorry I'm smoking a damn cigarette 335 00:19:04,119 --> 00:19:05,560 Speaker 3: because I might not make it out of the other. 336 00:19:05,600 --> 00:19:08,040 Speaker 3: And then I go for a difference and yeah, right, 337 00:19:08,119 --> 00:19:09,800 Speaker 3: and so I go for a run. I come back 338 00:19:09,840 --> 00:19:11,920 Speaker 3: from this mission like a couple days later, and we're 339 00:19:12,000 --> 00:19:14,080 Speaker 3: in Afghanistan and you got to work out wi the 340 00:19:14,200 --> 00:19:17,080 Speaker 3: er otherwise you're ft because you're at fifteen thousand feet 341 00:19:17,119 --> 00:19:18,000 Speaker 3: in the valley. Yeah. 342 00:19:18,040 --> 00:19:19,240 Speaker 2: Absolutely, And so I go. 343 00:19:19,280 --> 00:19:22,520 Speaker 3: For this run and I almost die, Like my lungs 344 00:19:22,520 --> 00:19:24,600 Speaker 3: are just like I could just tell they were filled 345 00:19:24,640 --> 00:19:26,639 Speaker 3: with smoke. And I'm like, oup, I'm done. But the 346 00:19:26,720 --> 00:19:29,840 Speaker 3: problem is, and here's the real problem. Like I tried 347 00:19:29,880 --> 00:19:32,160 Speaker 3: smoking for a like on that mission, and I kind 348 00:19:32,160 --> 00:19:34,719 Speaker 3: of liked it. So now every time I see somebody 349 00:19:34,760 --> 00:19:36,680 Speaker 3: smoking in the movies, I'm like, oh, I I don't 350 00:19:36,720 --> 00:19:39,320 Speaker 3: want to smoke, smell it or man, you know. 351 00:19:39,720 --> 00:19:43,000 Speaker 2: Sit that's I like it. So she quit and always 352 00:19:43,040 --> 00:19:45,400 Speaker 2: liked even when we were we had kids. A couple 353 00:19:45,440 --> 00:19:47,440 Speaker 2: of times she would like, go back and smoke some cigarettes. 354 00:19:47,480 --> 00:19:50,320 Speaker 2: But I mean immediately if we wanted to get pregnant 355 00:19:50,400 --> 00:19:52,880 Speaker 2: or we found out you know, like boom, she drop 356 00:19:52,960 --> 00:19:54,879 Speaker 2: it like a bad habit. It was amazing, you know, 357 00:19:55,080 --> 00:19:55,800 Speaker 2: most Yeah. 358 00:19:56,160 --> 00:19:58,480 Speaker 3: I mean, I mean, I don't do it anymore, like 359 00:19:58,680 --> 00:20:00,879 Speaker 3: I still have cravings, but like I oh say, I 360 00:20:01,000 --> 00:20:01,159 Speaker 3: like it. 361 00:20:01,280 --> 00:20:04,080 Speaker 2: Every day she's got a craving Sewan. Every day she 362 00:20:04,160 --> 00:20:07,119 Speaker 2: deals with it. I stopped because I remember going to 363 00:20:07,160 --> 00:20:10,600 Speaker 2: the little Gym's Bridge in Florida with Chief Patches. They 364 00:20:10,600 --> 00:20:12,480 Speaker 2: call him Watson. He was part of the uh. He 365 00:20:12,560 --> 00:20:14,399 Speaker 2: was part of seal team too from back in the 366 00:20:14,480 --> 00:20:18,000 Speaker 2: day from NOM. Took me under his wing and because 367 00:20:18,000 --> 00:20:20,440 Speaker 2: I knew his son too in martial arts, from martial arts, 368 00:20:20,440 --> 00:20:22,480 Speaker 2: and I went down to the little Gym's Bridge and 369 00:20:22,520 --> 00:20:25,199 Speaker 2: partied with all the special ops guys, uh you know, 370 00:20:25,280 --> 00:20:28,000 Speaker 2: and they were they really did like, uh, you know, uh, 371 00:20:28,800 --> 00:20:33,879 Speaker 2: try to give me, try to prepare me anyway. Gary 372 00:20:33,920 --> 00:20:37,280 Speaker 2: who was a medic uh which is a Delta right 373 00:20:37,600 --> 00:20:41,359 Speaker 2: eighteen delta from NOM. He catches me smoking a cigarette 374 00:20:41,520 --> 00:20:44,560 Speaker 2: after training after them, We're like, everyone's getting drunk, you know. 375 00:20:45,040 --> 00:20:48,760 Speaker 2: He catches me smoking a cigarette, this old man. 376 00:20:50,080 --> 00:20:51,040 Speaker 3: Lap right in. 377 00:20:51,000 --> 00:20:52,600 Speaker 2: The mouth, knocked it right out in my mouth. 378 00:20:52,800 --> 00:20:56,000 Speaker 4: He was like, and I mean he caught me, you know, 379 00:20:57,760 --> 00:21:00,320 Speaker 4: And you disrespect these guys, you don't, you know, Yeah, 380 00:21:00,480 --> 00:21:03,560 Speaker 4: mackew if you want, you know, uh, he said, young man. 381 00:21:03,640 --> 00:21:07,200 Speaker 2: He was like, are you crazy. He's like, bullets run 382 00:21:07,400 --> 00:21:11,240 Speaker 2: real fast, you know, and I'll never forget that. And 383 00:21:11,560 --> 00:21:14,000 Speaker 2: Gary just he put the fear in me, you know. 384 00:21:14,160 --> 00:21:17,160 Speaker 4: And uh and he's passed now, unfortunately, but he put 385 00:21:17,160 --> 00:21:17,760 Speaker 4: the fear in me. 386 00:21:17,840 --> 00:21:21,879 Speaker 2: And uh, that's that's when I stopped. And by the way, 387 00:21:22,200 --> 00:21:24,920 Speaker 2: after I did, I turned like a five minute into 388 00:21:25,119 --> 00:21:27,760 Speaker 2: a five mile into like an eight mile, real easy. 389 00:21:27,840 --> 00:21:30,280 Speaker 2: And I was doing the two mile is all it is, 390 00:21:30,320 --> 00:21:32,760 Speaker 2: folks for the pet in the army. It's only two miles. 391 00:21:32,800 --> 00:21:35,760 Speaker 2: But you want time, you want you know, And I 392 00:21:35,760 --> 00:21:39,920 Speaker 2: got short legs, so it's all about printing your little ass, 393 00:21:40,000 --> 00:21:42,640 Speaker 2: you know. And uh, I love but I loved it, Joan, 394 00:21:42,720 --> 00:21:44,439 Speaker 2: That's the one thing I really do miss. So now 395 00:21:44,440 --> 00:21:45,040 Speaker 2: I have to swim. 396 00:21:45,640 --> 00:21:48,639 Speaker 3: Okay, you know. So we've got a pivot to politics. 397 00:21:48,800 --> 00:21:49,359 Speaker 2: Let's do it. 398 00:21:50,280 --> 00:21:52,480 Speaker 3: And I want you to react to Joe Biden. 399 00:21:52,160 --> 00:21:54,080 Speaker 2: Today drinking conversation anyway. 400 00:21:54,400 --> 00:21:56,960 Speaker 3: It is it is that. I mean, maybe yeah, maybe 401 00:21:56,960 --> 00:21:59,000 Speaker 3: we should next time you come on, maybe we should 402 00:21:59,000 --> 00:22:00,960 Speaker 3: both crack a drink and just tell war stories. But 403 00:22:02,000 --> 00:22:04,000 Speaker 3: we got like real important news that we have to 404 00:22:04,040 --> 00:22:07,399 Speaker 3: get to so we can tell war stories later. Okay, 405 00:22:07,480 --> 00:22:10,159 Speaker 3: react to this, this video of Joe Biden freaking out 406 00:22:10,200 --> 00:22:12,440 Speaker 3: about swing state polling. I feel like it's a good 407 00:22:12,560 --> 00:22:14,640 Speaker 3: segue and to get into all the stuff that we're 408 00:22:14,640 --> 00:22:16,480 Speaker 3: going to get into today. Check this out and listen. 409 00:22:17,119 --> 00:22:19,119 Speaker 5: Well, it's like the Waalston Journal one land in the 410 00:22:19,119 --> 00:22:21,480 Speaker 5: White House and he's losing all the battleground states. 411 00:22:21,720 --> 00:22:24,120 Speaker 1: No, he's not losing in all the battle scenes. He's 412 00:22:24,119 --> 00:22:28,480 Speaker 1: coming up and he's even or doing better. So you 413 00:22:28,520 --> 00:22:31,720 Speaker 1: know what, once people start to focus in and they 414 00:22:31,760 --> 00:22:36,080 Speaker 1: see their two choices, it's obvious that Joe will win 415 00:22:36,119 --> 00:22:36,680 Speaker 1: the selection. 416 00:22:36,920 --> 00:22:40,960 Speaker 3: Right, Okay, So she's clearly freaking out right, I mean arts. 417 00:22:40,840 --> 00:22:45,640 Speaker 2: Ride elder abuse after this election. Sorry, Laura would never 418 00:22:45,680 --> 00:22:46,240 Speaker 2: do this to me. 419 00:22:46,960 --> 00:22:48,680 Speaker 3: I don't think Melanie would do it to me either, 420 00:22:48,840 --> 00:22:51,320 Speaker 3: I really don't. And it's a good point because clearly 421 00:22:51,400 --> 00:22:53,719 Speaker 3: Joe Biden is not the same Joe Biden that debated 422 00:22:53,760 --> 00:22:57,560 Speaker 3: Paul Ryan even just oh what was it twelve years ago? Now, 423 00:22:57,640 --> 00:23:00,720 Speaker 3: I mean flour with completely wipe the floor with Paul Ryan. 424 00:23:00,880 --> 00:23:05,280 Speaker 3: And but but you have been saying and fairly often 425 00:23:05,680 --> 00:23:11,959 Speaker 3: warning people on social media that folks, yes, Trump is up, 426 00:23:12,000 --> 00:23:14,520 Speaker 3: but this race is going to Titan. She Joe Biden 427 00:23:14,600 --> 00:23:17,360 Speaker 3: alluded to that, what is it Joe Biden ed right, 428 00:23:17,520 --> 00:23:22,040 Speaker 3: not not Joe Joe Biden d doctor Jill but but 429 00:23:22,280 --> 00:23:25,399 Speaker 3: doctor of education, not medical doctor. But I digress. But 430 00:23:25,560 --> 00:23:28,400 Speaker 3: you so, you you've been saying for a long time 431 00:23:28,400 --> 00:23:30,200 Speaker 3: that the Poles are going to Titan And there's been 432 00:23:30,240 --> 00:23:32,720 Speaker 3: this narrative that I have been a little bit frustrated 433 00:23:32,760 --> 00:23:37,440 Speaker 3: with of conservatives kind of putting this narrative out there 434 00:23:37,480 --> 00:23:40,000 Speaker 3: that oh man, it's it's closing. Oh aren't you glad 435 00:23:40,000 --> 00:23:43,200 Speaker 3: that you nominated Trump? Like, oh, these poles are tightening now, 436 00:23:43,280 --> 00:23:46,320 Speaker 3: look and so but you've expected this all along. 437 00:23:46,880 --> 00:23:48,920 Speaker 2: Yeah, And if it was NICKI Haley, she'd be down 438 00:23:48,960 --> 00:23:51,480 Speaker 2: by now. She would because they would have started whacking 439 00:23:51,520 --> 00:23:54,040 Speaker 2: her un boeing, they would have started whacking her on 440 00:23:54,119 --> 00:23:57,160 Speaker 2: Social Security. She would have lost every single Ross Belt 441 00:23:57,240 --> 00:24:00,359 Speaker 2: state in a landslide. I'm not kidding. If it was 442 00:24:00,440 --> 00:24:03,040 Speaker 2: Ron de Santis, he'd be begging Trump to make sure 443 00:24:03,080 --> 00:24:05,920 Speaker 2: a maga comes out for him. And he was down anyway, 444 00:24:06,000 --> 00:24:09,040 Speaker 2: And that was after the electorate got to know, Rond 445 00:24:09,040 --> 00:24:15,520 Speaker 2: de Santis, this is a divided country. And when I 446 00:24:15,720 --> 00:24:18,160 Speaker 2: you know when landslide is not what a landslide used 447 00:24:18,200 --> 00:24:22,159 Speaker 2: to be. And I would one hundred percent rather be 448 00:24:22,240 --> 00:24:24,440 Speaker 2: Donald Trump right now if you look around the electoral 449 00:24:24,440 --> 00:24:26,720 Speaker 2: college map, I mean, which we could do it a bit, 450 00:24:26,920 --> 00:24:30,560 Speaker 2: but it is almost like Joe Biden has to pull 451 00:24:30,600 --> 00:24:34,880 Speaker 2: like a straight royal flush, you know. So it's very difficult. 452 00:24:34,960 --> 00:24:37,600 Speaker 2: People need to understand. And the reason why I always 453 00:24:37,600 --> 00:24:40,240 Speaker 2: said that to you Sean too, is because, for instance, 454 00:24:40,240 --> 00:24:42,520 Speaker 2: this Paul we just did in Pennsylvania mission very much 455 00:24:42,520 --> 00:24:46,760 Speaker 2: the same thing. When you just ask straight up, most 456 00:24:46,760 --> 00:24:49,800 Speaker 2: people will say someone else or some other candidate along 457 00:24:49,840 --> 00:24:51,879 Speaker 2: with it, and that's their head to head. We break 458 00:24:51,920 --> 00:24:55,680 Speaker 2: our we break our scenarios down in just the head 459 00:24:55,720 --> 00:24:58,679 Speaker 2: to head. You could tell after you lean it that 460 00:24:58,760 --> 00:25:02,560 Speaker 2: it does close. Now, what's significant historic is that we 461 00:25:02,600 --> 00:25:06,280 Speaker 2: never had Trump get above fifty percent in these states 462 00:25:06,359 --> 00:25:09,520 Speaker 2: when it just doesn't happen. It never happened before. He 463 00:25:09,600 --> 00:25:12,000 Speaker 2: wins with like forty eight forty nine percent. He wins 464 00:25:12,000 --> 00:25:15,360 Speaker 2: because his base is super solid. Even in twenty sixteen, 465 00:25:16,119 --> 00:25:19,600 Speaker 2: except for Ohio and Iowa, he did not break fifty 466 00:25:19,600 --> 00:25:22,360 Speaker 2: percent in those states. So people need to remember that 467 00:25:23,240 --> 00:25:25,760 Speaker 2: now he is and I mean I can show you 468 00:25:25,800 --> 00:25:30,400 Speaker 2: guys in a bit. And there's also, like I said, 469 00:25:30,680 --> 00:25:33,960 Speaker 2: there are when we ask those people to lean, you 470 00:25:34,000 --> 00:25:36,959 Speaker 2: could see that some people come home to Joe Biden. 471 00:25:37,119 --> 00:25:39,760 Speaker 2: Now I'd rather again be Trump, because the problem is 472 00:25:39,840 --> 00:25:42,199 Speaker 2: Biden's problem is not just that he needs people to 473 00:25:42,200 --> 00:25:46,919 Speaker 2: come home. Biden's lost voters from twenty twenty. There are 474 00:25:47,040 --> 00:25:50,000 Speaker 2: true swing voters who said that I voted for Trump 475 00:25:50,000 --> 00:25:52,959 Speaker 2: in sixteen, I voted for Biden in twenty and now 476 00:25:52,960 --> 00:25:55,160 Speaker 2: I'm voting for Donald Trump again in twenty four. There 477 00:25:55,160 --> 00:25:59,159 Speaker 2: are currently too many of them for Joe Biden to 478 00:25:59,200 --> 00:26:02,159 Speaker 2: win the selection. And as far as the national polls tightening, 479 00:26:02,160 --> 00:26:05,080 Speaker 2: because that narrative has been out there, I'm talking to 480 00:26:05,119 --> 00:26:08,080 Speaker 2: you yesterday, right, and I'm like, it's going out to locals. 481 00:26:08,119 --> 00:26:10,200 Speaker 2: I got Trump up. The lead is bigger than I thought, 482 00:26:10,320 --> 00:26:13,240 Speaker 2: or at least on that one scenario, bigger than I thought. 483 00:26:13,320 --> 00:26:16,119 Speaker 2: It's going out whatever, But I knew the narrative was, 484 00:26:16,160 --> 00:26:20,800 Speaker 2: oh they tightened, Pennsylvania's tight now. And then maybe an 485 00:26:20,880 --> 00:26:23,200 Speaker 2: hour and a half later, the Wall Street Journal released 486 00:26:23,200 --> 00:26:25,480 Speaker 2: They're polling that they were just talking about that showed 487 00:26:25,880 --> 00:26:28,360 Speaker 2: the same level of support for Trump. When you initially 488 00:26:28,400 --> 00:26:31,600 Speaker 2: asked people, it's that lean Sean, when you lean them 489 00:26:32,240 --> 00:26:35,040 Speaker 2: in the head to head when it's just him and Biden, 490 00:26:35,520 --> 00:26:38,880 Speaker 2: he gets above fifty, Why does that matter? I certainly 491 00:26:38,960 --> 00:26:42,440 Speaker 2: I expect bolls to close, and I think that's happening now. 492 00:26:42,720 --> 00:26:46,320 Speaker 2: But I also expect the appetite for third party to 493 00:26:46,440 --> 00:26:49,320 Speaker 2: fall as people realize that they have to vote for 494 00:26:49,359 --> 00:26:51,160 Speaker 2: their guy or else the other guy's going to win. 495 00:26:51,640 --> 00:26:54,560 Speaker 2: That kicks in like it always does. I don't think 496 00:26:54,640 --> 00:26:57,560 Speaker 2: Robert Kennedy is a serious candidate. I think he's only 497 00:26:57,600 --> 00:27:01,000 Speaker 2: on the ballot at the moment in Utah. He's maybe 498 00:27:01,080 --> 00:27:03,639 Speaker 2: going to qualify for Nevada. But if you go to 499 00:27:03,640 --> 00:27:06,760 Speaker 2: his website and look at all that dark purple, it's bs. 500 00:27:06,880 --> 00:27:10,479 Speaker 2: He is not there yet, and there are rules they 501 00:27:10,520 --> 00:27:15,040 Speaker 2: will challenge his signatures. Jill Stein at this point is 502 00:27:15,200 --> 00:27:17,520 Speaker 2: likely to have a bigger impact on this election than 503 00:27:17,640 --> 00:27:20,440 Speaker 2: RFK is. He's not on the ballot in Pennsylvania. He 504 00:27:20,920 --> 00:27:23,120 Speaker 2: kept saying he's on the ballot in Michigan. But it's 505 00:27:23,200 --> 00:27:26,080 Speaker 2: not a done deal. It's not, by the way. You 506 00:27:26,119 --> 00:27:28,480 Speaker 2: know who is on the ballot in Michigan, Jill Stein. 507 00:27:28,920 --> 00:27:31,760 Speaker 2: You know who's in the ballot in Wisconsin, Jill Stein, 508 00:27:32,280 --> 00:27:36,320 Speaker 2: on the ballot in Arizona. Jill Stein. That's done. You know, 509 00:27:36,400 --> 00:27:40,040 Speaker 2: that is for sure done. They have qualified to do that. 510 00:27:40,160 --> 00:27:42,320 Speaker 2: I mean I spent like an hour and a half 511 00:27:42,359 --> 00:27:44,600 Speaker 2: on one of the shows on Inside the numbers going 512 00:27:44,640 --> 00:27:47,440 Speaker 2: over like the battleground states we know, and then those 513 00:27:47,480 --> 00:27:51,000 Speaker 2: peripheral states you know that could be battlegrounds if the 514 00:27:51,040 --> 00:27:56,000 Speaker 2: election goes real hard one way Minnesota, for instance, that's 515 00:27:56,160 --> 00:27:58,399 Speaker 2: one of the easier states to get on. He hasn't 516 00:27:58,400 --> 00:28:01,200 Speaker 2: even done that yet, Sean. I mean, it's and he's 517 00:28:01,200 --> 00:28:04,040 Speaker 2: got his VP now, so there's no excuses. The truth 518 00:28:04,119 --> 00:28:06,040 Speaker 2: is he had a bunch of people around him who 519 00:28:06,080 --> 00:28:08,480 Speaker 2: don't know what the hell they're doing. The one person 520 00:28:08,520 --> 00:28:11,880 Speaker 2: who did, Dennis Cassinich, he fired for his CIA daughter 521 00:28:11,920 --> 00:28:14,159 Speaker 2: in law. So this isn't I mean, this is not. 522 00:28:14,400 --> 00:28:17,040 Speaker 2: I really started to feel like this is not. I'm 523 00:28:17,040 --> 00:28:18,720 Speaker 2: getting to the point as a polster where I feel 524 00:28:18,720 --> 00:28:21,120 Speaker 2: like it's a waste of money and I can't justify 525 00:28:21,480 --> 00:28:24,919 Speaker 2: polling RFK if he doesn't do something different soon. I 526 00:28:25,000 --> 00:28:27,640 Speaker 2: was on Newsmax with Mark alper in a while ago. 527 00:28:27,880 --> 00:28:30,159 Speaker 2: Mark's been around a long time, He's the only one 528 00:28:30,160 --> 00:28:32,439 Speaker 2: who really understood on that panel what I was talking about. 529 00:28:32,640 --> 00:28:35,000 Speaker 2: It is so hard to get on those states. This 530 00:28:35,160 --> 00:28:38,720 Speaker 2: is mostly a thought exercise. If you're not on the 531 00:28:38,760 --> 00:28:42,760 Speaker 2: Libertarian and you're not on the Green Party, it's going 532 00:28:42,760 --> 00:28:45,120 Speaker 2: to be very difficult. And by the way, speaking to Minnesota, 533 00:28:45,440 --> 00:28:47,800 Speaker 2: if the race is so tight and Jill's like he's 534 00:28:47,840 --> 00:28:51,240 Speaker 2: on his way up, why did they just send a crackpot, 535 00:28:51,480 --> 00:28:54,400 Speaker 2: a crack team of three people who I know of 536 00:28:54,760 --> 00:28:58,520 Speaker 2: and know their work, to Minnesota with a huge budget 537 00:28:58,920 --> 00:29:04,000 Speaker 2: to defend minnesot to put together a plan to defend Minnesota. Guys. 538 00:29:04,160 --> 00:29:07,760 Speaker 2: Joe Biden won Minnesota by seven points last time. The 539 00:29:08,280 --> 00:29:11,959 Speaker 2: truth is they know this Minnesota's close. Trump is up 540 00:29:11,960 --> 00:29:15,160 Speaker 2: in all the battleground states right now basically everyone, if 541 00:29:15,200 --> 00:29:20,000 Speaker 2: not everyone. I haven't pulled everyone, but I think what 542 00:29:20,080 --> 00:29:22,160 Speaker 2: was the one Wisconsin that was tight. We'll pull it 543 00:29:22,200 --> 00:29:24,480 Speaker 2: soon and we'll see in that Wall Street Journal poll 544 00:29:24,640 --> 00:29:26,680 Speaker 2: and in the Bloomberg pole that was the one that 545 00:29:26,720 --> 00:29:29,560 Speaker 2: seemed tighter too. We'll pull it soon and we'll find out. Brother. 546 00:29:29,640 --> 00:29:33,520 Speaker 2: But I'm telling you, I'd rather be Trump. I would 547 00:29:33,560 --> 00:29:35,120 Speaker 2: not be Joe Biden. I don't want to be Joe 548 00:29:35,160 --> 00:29:38,040 Speaker 2: Biden defending Minnesota at this point. And this is what 549 00:29:38,080 --> 00:29:41,640 Speaker 2: people need to understand. Donald Trump won the election in 550 00:29:41,680 --> 00:29:45,040 Speaker 2: twenty sixteen when he lost a popular vote by two, 551 00:29:45,120 --> 00:29:48,600 Speaker 2: he nearly lost the I mean, he nearly won the 552 00:29:48,600 --> 00:29:52,160 Speaker 2: electoral college when Joe Biden won the popular vote by four. 553 00:29:52,560 --> 00:29:55,600 Speaker 2: It is widely accepted among people like me that Biden 554 00:29:55,680 --> 00:29:57,720 Speaker 2: needs at least a four point win to ensure he 555 00:29:57,760 --> 00:30:00,920 Speaker 2: gets to the electoral college. The voters that Trump appeals 556 00:30:00,960 --> 00:30:06,120 Speaker 2: to are overrepresented in the electoral college. Working class a 557 00:30:06,160 --> 00:30:08,760 Speaker 2: lot of especially too. They're very white in a lot 558 00:30:08,760 --> 00:30:12,360 Speaker 2: of these states. But now that's an even bigger problem 559 00:30:12,360 --> 00:30:14,840 Speaker 2: for Biden because he's not just appealing to the white 560 00:30:14,920 --> 00:30:18,800 Speaker 2: working class anymore. As our poll, as Tony Fabrizio's poll 561 00:30:18,840 --> 00:30:21,680 Speaker 2: for the Wall Street Journal, as everybody is showing. Now 562 00:30:21,720 --> 00:30:24,960 Speaker 2: it's not just us CNN Adam at thirty four percent 563 00:30:25,120 --> 00:30:28,680 Speaker 2: black vote. Mitchell Research has been polling Michigan for years 564 00:30:28,880 --> 00:30:30,880 Speaker 2: had him at like thirty thirty two percent of the 565 00:30:30,880 --> 00:30:33,720 Speaker 2: black vote. We got him in the twenties. I mean, 566 00:30:34,120 --> 00:30:36,880 Speaker 2: this is a problem. And if you're Joe Biden, the 567 00:30:36,960 --> 00:30:40,520 Speaker 2: problem is you didn't Just those people aren't just kind 568 00:30:40,520 --> 00:30:43,040 Speaker 2: of like, oh, I need to come home. They have 569 00:30:43,520 --> 00:30:46,480 Speaker 2: quit on Joe Biden and they're voting for Donald Trump. 570 00:30:47,280 --> 00:30:49,800 Speaker 3: All right, So a couple things I want to ask 571 00:30:49,880 --> 00:30:53,320 Speaker 3: you about this headline from Breitbart and this is Marist, 572 00:30:53,320 --> 00:30:56,200 Speaker 3: and I know how you feel about Marist. They suck independent, 573 00:30:57,640 --> 00:30:58,320 Speaker 3: how I feel? 574 00:31:00,120 --> 00:31:04,840 Speaker 5: Okay, So take what you will with this number that 575 00:31:04,960 --> 00:31:12,000 Speaker 5: said objective fact. It's not my opinion, all right, Well 576 00:31:12,040 --> 00:31:14,240 Speaker 5: it says okay, so you're kind of like you're kind 577 00:31:14,240 --> 00:31:15,440 Speaker 5: of killing my story here. 578 00:31:15,680 --> 00:31:20,440 Speaker 3: But Marrist Paul Independence swing twenty eight points towards Trump, and. 579 00:31:20,480 --> 00:31:25,720 Speaker 2: Swing still matter, Trends still matter. All they did was weight. Listen. 580 00:31:26,160 --> 00:31:28,920 Speaker 2: There's something called and I've been trying to explain this 581 00:31:28,920 --> 00:31:31,400 Speaker 2: to viewers to chase the weight. It's when a polster 582 00:31:31,480 --> 00:31:33,920 Speaker 2: gets something wrong, not because their methodology is wrong, but 583 00:31:33,960 --> 00:31:35,880 Speaker 2: because they ended up being the one in twenty that 584 00:31:36,000 --> 00:31:38,160 Speaker 2: is going to be wrong statistically, because that's just the 585 00:31:38,160 --> 00:31:41,320 Speaker 2: way it is. It happens to everybody. And what a 586 00:31:41,520 --> 00:31:43,960 Speaker 2: polster will do is change their methodology to try to 587 00:31:44,000 --> 00:31:46,160 Speaker 2: fix it, because you know what I do wrong, And 588 00:31:46,200 --> 00:31:48,160 Speaker 2: then the next election comes along and they change the 589 00:31:48,200 --> 00:31:52,080 Speaker 2: perfectly good methodology unbeknownst to them, and they get it 590 00:31:52,080 --> 00:31:55,800 Speaker 2: wrong again, So they're chasing the weight every election instead 591 00:31:55,840 --> 00:31:58,440 Speaker 2: of just sitting. What they know is is a solid 592 00:31:58,480 --> 00:32:02,520 Speaker 2: methodology because you know and have trust and faith in it. 593 00:32:03,440 --> 00:32:06,640 Speaker 2: Marit is one of those pollsters that knows something's wrong 594 00:32:06,840 --> 00:32:09,719 Speaker 2: and has not changed it. It's not just me. They've 595 00:32:09,560 --> 00:32:11,480 Speaker 2: even been accused by the poster at the New York 596 00:32:11,520 --> 00:32:15,560 Speaker 2: Times of not recognizing the impact of education and region, 597 00:32:15,880 --> 00:32:18,720 Speaker 2: and that is what they That is one of their many, 598 00:32:18,800 --> 00:32:22,080 Speaker 2: many flaws. If you have a D plus eight electorate 599 00:32:22,200 --> 00:32:24,960 Speaker 2: in this time, in the modern era, you have a 600 00:32:25,280 --> 00:32:28,400 Speaker 2: major methodology issue. I haven't had D plus eight since 601 00:32:28,480 --> 00:32:31,959 Speaker 2: Joe Biden was elected and since Barack Obama was reelected. 602 00:32:32,040 --> 00:32:35,160 Speaker 2: Like that's very common to see swings real quick after 603 00:32:35,200 --> 00:32:39,800 Speaker 2: a president wins, but it is not reality. Clarity came 604 00:32:39,840 --> 00:32:41,560 Speaker 2: out a little bit after I had Trump up and 605 00:32:41,600 --> 00:32:46,360 Speaker 2: it was a D plus one. That's reality, you know. Basically, though, 606 00:32:46,400 --> 00:32:49,360 Speaker 2: the trend still matters because they're still doing the same thing. 607 00:32:49,760 --> 00:32:52,400 Speaker 2: So it's apples to apples. You know, if I could 608 00:32:52,400 --> 00:32:55,200 Speaker 2: brock you want to throw it up and I'll show Sean, 609 00:32:55,280 --> 00:32:57,480 Speaker 2: I'll go back to the map. But I know it's 610 00:32:57,480 --> 00:32:59,360 Speaker 2: hard for everybody to see. I'm actually going to replace 611 00:32:59,360 --> 00:33:02,240 Speaker 2: the Pennsylvania out with the crosstab right now because I 612 00:33:02,280 --> 00:33:05,280 Speaker 2: want to show you something, Sean. This is Pennsylvania and 613 00:33:05,320 --> 00:33:09,480 Speaker 2: we will see this when it comes to national polling 614 00:33:09,600 --> 00:33:12,360 Speaker 2: all the time. All right here, how did you vote 615 00:33:12,400 --> 00:33:14,760 Speaker 2: in twenty twenty? Right? And you and I had this 616 00:33:14,800 --> 00:33:18,640 Speaker 2: conversation the other day. Joe Biden got just fifty percent 617 00:33:18,760 --> 00:33:21,400 Speaker 2: in Pennsylvania. But there are people who are lying. They 618 00:33:21,440 --> 00:33:24,640 Speaker 2: don't want to look like eleven percent of Democrats are like, 619 00:33:24,680 --> 00:33:29,000 Speaker 2: I totally voted for Trump, right, Independence are saying that 620 00:33:29,080 --> 00:33:34,680 Speaker 2: they voted for We had Independence going for Biden slightly 621 00:33:35,120 --> 00:33:38,560 Speaker 2: in Pennsylvania, and either way he won them, and he 622 00:33:38,600 --> 00:33:41,880 Speaker 2: won them pretty significantly. Five point four percent say they 623 00:33:41,880 --> 00:33:45,320 Speaker 2: don't remember or they chose someone else. Well, folks, there 624 00:33:45,440 --> 00:33:48,320 Speaker 2: was nobody else. It was them and Joe Jorgenson, and 625 00:33:48,360 --> 00:33:50,760 Speaker 2: that's it. Those are people you should just add to 626 00:33:50,800 --> 00:33:53,720 Speaker 2: Biden's margin right now because they're lying. So that would 627 00:33:53,720 --> 00:33:57,680 Speaker 2: put Biden around fifty three percent, which is what he got. 628 00:33:58,120 --> 00:34:01,000 Speaker 2: Now watch this all the diff in ballads we ask 629 00:34:01,080 --> 00:34:06,880 Speaker 2: Trump with leaners, without with Kennedy, with Stein against Biden 630 00:34:06,960 --> 00:34:09,680 Speaker 2: but with a generic somebody else. Forget all that for 631 00:34:09,680 --> 00:34:11,640 Speaker 2: a second. Let's get to the heart of it. This 632 00:34:11,680 --> 00:34:15,120 Speaker 2: is Trump vi Biden. Here's Independence. When we first asked them, 633 00:34:15,400 --> 00:34:17,640 Speaker 2: and Trump leads thirty five to thirty two, with a 634 00:34:17,719 --> 00:34:21,080 Speaker 2: third saying they're undecided. It's not uncommon this far out 635 00:34:21,080 --> 00:34:24,239 Speaker 2: for Independence to still say that. But when you lean them, 636 00:34:25,200 --> 00:34:28,520 Speaker 2: Trump is ahead. When you force them fifty three to 637 00:34:28,640 --> 00:34:33,760 Speaker 2: forty seven, that would represent roughly the same size swing. 638 00:34:33,960 --> 00:34:36,400 Speaker 2: I mean, you know, statewide, I love it less, but 639 00:34:37,080 --> 00:34:41,080 Speaker 2: very very, very similar. So I hate to say this 640 00:34:41,160 --> 00:34:45,520 Speaker 2: because Maris sucks, but I do at least agree. And 641 00:34:45,600 --> 00:34:47,839 Speaker 2: Trump is not going to win Independence by seven points 642 00:34:47,880 --> 00:34:51,120 Speaker 2: and lose the election. Folks. The electorate will be roughly even, 643 00:34:51,520 --> 00:34:54,960 Speaker 2: maybe even D plus one or R plus one, but 644 00:34:55,200 --> 00:34:57,520 Speaker 2: because it can be R plus one. The country's moving 645 00:34:57,520 --> 00:35:01,000 Speaker 2: to the right when it comes to identification and registration, 646 00:35:01,280 --> 00:35:07,120 Speaker 2: but registration lags identification. Self identification is a leading indicator, 647 00:35:07,160 --> 00:35:09,239 Speaker 2: and you have to change your mind about what you 648 00:35:09,360 --> 00:35:12,799 Speaker 2: are first before you change your registration. Right, So it 649 00:35:12,840 --> 00:35:15,880 Speaker 2: only makes sense like I'm an independent. Last year I 650 00:35:15,960 --> 00:35:18,279 Speaker 2: decided no, you know what, I am a Republican. I'm 651 00:35:18,280 --> 00:35:21,160 Speaker 2: gonna go down and change my registration. But you're gonna 652 00:35:21,160 --> 00:35:24,280 Speaker 2: do that way after you've already concluded that in your mind. 653 00:35:24,360 --> 00:35:26,880 Speaker 2: It takes time when not often it takes you to 654 00:35:26,880 --> 00:35:29,640 Speaker 2: be pressured to do it. So these are people who 655 00:35:29,680 --> 00:35:31,880 Speaker 2: are self identifying, just like they would have hit the 656 00:35:31,880 --> 00:35:36,640 Speaker 2: exit poll. And again it represents a swing toward Trump. 657 00:35:36,760 --> 00:35:42,200 Speaker 2: Now nationally Sean, we're seeing like fifteen to twenty point 658 00:35:42,280 --> 00:35:45,120 Speaker 2: swings on a given month, like huge swings, you know. 659 00:35:45,280 --> 00:35:48,680 Speaker 2: So it's it's you know, it's a I have to 660 00:35:48,719 --> 00:35:51,359 Speaker 2: agree with them, is what I'm saying. They actually got 661 00:35:51,360 --> 00:35:53,680 Speaker 2: this one right, brother, they actually got this one right. 662 00:35:54,239 --> 00:35:57,640 Speaker 3: So since we're since we're talking about Pennsylvania, yep, give 663 00:35:57,640 --> 00:36:00,560 Speaker 3: me the popline numbers Biden versus Trump and Pennsylvania. 664 00:36:00,600 --> 00:36:05,080 Speaker 2: Let's start there, okay, So with when you're uh, when 665 00:36:05,120 --> 00:36:07,759 Speaker 2: you're doing we do different ways that we look at it. 666 00:36:07,800 --> 00:36:10,920 Speaker 2: If it's just buy well, let me save that actually 667 00:36:10,960 --> 00:36:12,640 Speaker 2: because I want to come back to that and what 668 00:36:12,640 --> 00:36:16,400 Speaker 2: we were talking about before with expect the race to tighten. Okay, 669 00:36:16,800 --> 00:36:19,719 Speaker 2: if it's just Trump and bide him with like a 670 00:36:19,719 --> 00:36:24,880 Speaker 2: generic somebody else, it's Trump by six. He initially leads 671 00:36:24,920 --> 00:36:27,919 Speaker 2: forty six forty and then when you force people to lean, 672 00:36:28,360 --> 00:36:30,799 Speaker 2: they both increase by a point and he lean. He 673 00:36:30,920 --> 00:36:33,759 Speaker 2: leads forty seven to forty one, with you know, twelve 674 00:36:33,800 --> 00:36:36,239 Speaker 2: percent eleven point six percent saying they would vote for 675 00:36:36,280 --> 00:36:39,560 Speaker 2: somebody else. I'm telling you, Sean, that's not I would 676 00:36:39,640 --> 00:36:43,480 Speaker 2: be shocked if that really does can hold it could 677 00:36:43,760 --> 00:36:47,520 Speaker 2: it's you know, it's possible, but we'll see. Sixteen was 678 00:36:47,560 --> 00:36:51,200 Speaker 2: like a really big third party year since like the 679 00:36:51,480 --> 00:36:55,840 Speaker 2: Ross Perot era, and I would just be interested in 680 00:36:55,920 --> 00:36:58,560 Speaker 2: knowing whether or not this appetite is good at the 681 00:36:58,600 --> 00:37:02,080 Speaker 2: client because I think it probably will. Why well, give 682 00:37:02,120 --> 00:37:04,640 Speaker 2: me a second. I don't know that Kennedy's even going 683 00:37:04,680 --> 00:37:07,720 Speaker 2: to be on this ballot, but we asked about Biden 684 00:37:07,760 --> 00:37:11,279 Speaker 2: verse Trump versus Kennedy, and then again a generic someone else. 685 00:37:11,600 --> 00:37:15,040 Speaker 2: Trump again leads by six forty five to thirty nine. 686 00:37:15,160 --> 00:37:19,319 Speaker 2: When you lean people, Biden increases a little bit, it's 687 00:37:19,480 --> 00:37:21,759 Speaker 2: just enough to round them up to forty. Trump is 688 00:37:21,800 --> 00:37:22,760 Speaker 2: at forty five. 689 00:37:23,040 --> 00:37:26,160 Speaker 3: So Rich, explain to people what you say when you 690 00:37:26,200 --> 00:37:29,239 Speaker 3: say when you say when you lean people, Oh right, okay, 691 00:37:29,320 --> 00:37:30,280 Speaker 3: tell us what that means. 692 00:37:30,480 --> 00:37:33,759 Speaker 2: So people, initially, a lot of people initially will just 693 00:37:34,520 --> 00:37:37,640 Speaker 2: you know, I don't know. I'm undecided. It's eight months out, 694 00:37:37,680 --> 00:37:40,080 Speaker 2: it's six months out, it's seven months you know. They 695 00:37:40,680 --> 00:37:42,880 Speaker 2: I'm not really sure yet. I haven't really given it 696 00:37:42,920 --> 00:37:46,359 Speaker 2: a lot of thought. You have to say, look, you 697 00:37:46,400 --> 00:37:48,239 Speaker 2: tell you take that answer first. And a lot of 698 00:37:48,239 --> 00:37:50,920 Speaker 2: posters don't even ask to lean, but we do, and 699 00:37:50,960 --> 00:37:54,800 Speaker 2: we'll say basically, Okay, we understand you're undecided, but listen, 700 00:37:55,400 --> 00:37:59,600 Speaker 2: if you were forced and the election was today and 701 00:37:59,640 --> 00:38:01,480 Speaker 2: you have to make up your mind, who would you 702 00:38:01,560 --> 00:38:05,240 Speaker 2: vote for? And that's what we do. So that honestly, 703 00:38:05,840 --> 00:38:08,200 Speaker 2: because here's the truth, Sean. What we find is that 704 00:38:08,239 --> 00:38:11,200 Speaker 2: those people are lying anyway. Man. A lot of people 705 00:38:11,480 --> 00:38:16,440 Speaker 2: don't want to tell you because they're private, you know. 706 00:38:16,680 --> 00:38:19,840 Speaker 2: I mean, it's just true, especially in a state like Wisconsin. 707 00:38:19,960 --> 00:38:24,359 Speaker 2: Some states are different than others. They may be Wisconsin nice, 708 00:38:24,400 --> 00:38:27,680 Speaker 2: like Minnesota nice, but they're also Wisconsin mind your own business, 709 00:38:27,760 --> 00:38:31,400 Speaker 2: you know kind of thing. Yeah, as opposed to Ohio, 710 00:38:31,480 --> 00:38:33,840 Speaker 2: who is like trump full and hang up some phone 711 00:38:33,880 --> 00:38:38,000 Speaker 2: on you. You know, I'm serious, But that's just the 712 00:38:38,000 --> 00:38:41,279 Speaker 2: way they are now. But yeah, you're leaning them, you're 713 00:38:41,280 --> 00:38:45,719 Speaker 2: forcing them to make a decision. And when they do that, 714 00:38:45,920 --> 00:38:48,279 Speaker 2: is what we come up and we always add that 715 00:38:48,440 --> 00:38:51,320 Speaker 2: percentage that they get from the undecided onto the initial 716 00:38:51,760 --> 00:38:54,400 Speaker 2: share of their vote, and that's where they come up 717 00:38:54,400 --> 00:38:59,760 Speaker 2: with the total. But again, this is the map for Trump. 718 00:39:00,360 --> 00:39:03,320 Speaker 2: The map that people are seeing is the seven point 719 00:39:03,400 --> 00:39:07,000 Speaker 2: met with Trump first, Biden versus you know, someone else, 720 00:39:07,040 --> 00:39:11,279 Speaker 2: And we do that explicitly to let people know. You 721 00:39:11,320 --> 00:39:13,439 Speaker 2: may look at the Fox pull and many others, they 722 00:39:13,480 --> 00:39:16,280 Speaker 2: all do it, Sean, and many times they're not explaining 723 00:39:16,320 --> 00:39:19,000 Speaker 2: to people that there really is a difference between that 724 00:39:19,160 --> 00:39:21,920 Speaker 2: and a head to head. That's why we do show both. 725 00:39:22,280 --> 00:39:25,759 Speaker 2: I just want to point out though, when you do 726 00:39:26,680 --> 00:39:31,480 Speaker 2: have just Biden versus Trump, Trump leads forty four point 727 00:39:31,520 --> 00:39:35,120 Speaker 2: four to forty two percent, with about just under fourteen 728 00:39:35,160 --> 00:39:38,000 Speaker 2: percent saying I don't know, I'm undecided. When you push 729 00:39:38,040 --> 00:39:41,560 Speaker 2: those people and lean those people, Biden does gain quite 730 00:39:41,600 --> 00:39:44,680 Speaker 2: a bit, Don't get me wrong. Trump gains two, Biden 731 00:39:44,760 --> 00:39:51,239 Speaker 2: gains six point nine percent, and Trump gains seven point one. 732 00:39:52,040 --> 00:39:55,279 Speaker 2: So Trump ends up at fifty one point one and 733 00:39:55,320 --> 00:39:58,120 Speaker 2: Biden ends up at forty eight point nine. 734 00:39:58,560 --> 00:40:03,080 Speaker 3: So that is watching brow. That is always the margin. 735 00:40:03,120 --> 00:40:05,920 Speaker 3: It seems entit and that is what I think. 736 00:40:05,840 --> 00:40:09,759 Speaker 2: Is personally sean you know, Pennsylvania, you know they I 737 00:40:09,760 --> 00:40:13,280 Speaker 2: can see Trump win him by two point two. I can't, 738 00:40:13,400 --> 00:40:16,239 Speaker 2: but we're gonna be watching it like oh bo. I 739 00:40:16,280 --> 00:40:19,000 Speaker 2: mean it's gonna be yeah. And that's why people like 740 00:40:19,120 --> 00:40:24,359 Speaker 2: me will know from someone's margin like Alleghany, if he's 741 00:40:24,400 --> 00:40:27,040 Speaker 2: at forty two in Alleghany, like it's over, He's got it, 742 00:40:27,120 --> 00:40:27,399 Speaker 2: you know. 743 00:40:27,440 --> 00:40:30,040 Speaker 3: Yeah, right right? Or or with the black vote in Philly. 744 00:40:30,080 --> 00:40:32,440 Speaker 3: I mean, people don't realize that to me and to 745 00:40:32,600 --> 00:40:36,680 Speaker 3: me and Trump, and I think sixteen got like somewhere 746 00:40:36,719 --> 00:40:40,560 Speaker 3: between sixteen or seventeen percent of the black vote in Philly, respectively. 747 00:40:40,560 --> 00:40:45,000 Speaker 3: And they want look, man, if Trump in and around Philly, 748 00:40:45,000 --> 00:40:47,600 Speaker 3: and I say, the black vote in Philly because Philly 749 00:40:47,719 --> 00:40:50,600 Speaker 3: is such a heavily Democrat area. I mean, you know 750 00:40:50,840 --> 00:40:55,000 Speaker 3: that's that's if Republicans just it's like a different state. 751 00:40:55,280 --> 00:40:56,640 Speaker 3: They just get killed there. 752 00:40:56,560 --> 00:40:58,600 Speaker 2: Except for two Italian wards. 753 00:40:58,800 --> 00:41:01,640 Speaker 3: Yeah, except except for South Philly, which, by the way, 754 00:41:01,680 --> 00:41:03,759 Speaker 3: that's where I kicked off my Senate campaign. And I'm 755 00:41:03,800 --> 00:41:06,480 Speaker 3: down there with a bunch of Philly Democrats and I 756 00:41:06,520 --> 00:41:08,719 Speaker 3: loved it. They were great, they were all with me. 757 00:41:09,880 --> 00:41:12,719 Speaker 3: But they but Phil I mean, look, if Trump get 758 00:41:12,760 --> 00:41:14,839 Speaker 3: I'm telling you right now, it doesn't matter how much 759 00:41:14,880 --> 00:41:17,840 Speaker 3: they try to cheat. If Trump gets twenty percent in Philly, 760 00:41:18,280 --> 00:41:21,399 Speaker 3: it is game, set match, nothing they can do. It's 761 00:41:21,440 --> 00:41:25,200 Speaker 3: just it's just the truth. Man. There's and so you 762 00:41:25,239 --> 00:41:27,840 Speaker 3: see that his numbers with Black Americans, as you and 763 00:41:27,920 --> 00:41:30,879 Speaker 3: I were texting about last night, if this holds out, 764 00:41:30,920 --> 00:41:31,719 Speaker 3: it's staggering. 765 00:41:32,160 --> 00:41:35,000 Speaker 2: Did she I mean Sean, even before the lean, he's 766 00:41:35,040 --> 00:41:39,319 Speaker 2: in the twenties. And then in Philly. I went back 767 00:41:39,360 --> 00:41:43,920 Speaker 2: and looked, and I was getting hit last cycle twenty 768 00:41:43,960 --> 00:41:46,719 Speaker 2: twenty because everyone thought I was way too high with 769 00:41:46,800 --> 00:41:48,840 Speaker 2: Trump's support in Philly, and I had him met. I 770 00:41:48,880 --> 00:41:51,040 Speaker 2: went back and looked. I had him at like twenty 771 00:41:51,080 --> 00:41:54,320 Speaker 2: five percent, twenty six percent, which I know sounds high. 772 00:41:54,600 --> 00:41:57,840 Speaker 2: But I had him at thirteen percent or fifteen percent 773 00:41:57,880 --> 00:42:02,160 Speaker 2: in sixteen and he got thirteen. But that he did 774 00:42:02,200 --> 00:42:05,000 Speaker 2: that or something, you know, something along those lines. The 775 00:42:05,040 --> 00:42:08,000 Speaker 2: New York Times had him at twenty two or twenty 776 00:42:08,040 --> 00:42:10,640 Speaker 2: three in Philly in twenty twenty, even though they had 777 00:42:10,719 --> 00:42:13,680 Speaker 2: him down by nine, uh, and he wound up getting 778 00:42:13,680 --> 00:42:16,719 Speaker 2: like eighteen or nineteen percent. I'd have to go back 779 00:42:16,760 --> 00:42:18,600 Speaker 2: and check real quick. But I can actually go and 780 00:42:18,640 --> 00:42:24,200 Speaker 2: look right now. Point being is, he already did increase 781 00:42:24,360 --> 00:42:29,160 Speaker 2: not only the number of votes in Philadelphia, but he increased. Yeah, 782 00:42:29,160 --> 00:42:32,160 Speaker 2: he got eighteen percent, and he got one hundred and 783 00:42:32,160 --> 00:42:34,680 Speaker 2: thirty almost one hundred and thirty three thousand votes there 784 00:42:34,960 --> 00:42:39,440 Speaker 2: sean for Republican That juje And it's no, it's not 785 00:42:39,600 --> 00:42:42,880 Speaker 2: a big jump because now we have them closer to thirty. Again, 786 00:42:42,960 --> 00:42:46,680 Speaker 2: sampling errors for subgroups are higher. Let's say where five 787 00:42:46,760 --> 00:42:51,239 Speaker 2: point five off. You know, that still puts him in 788 00:42:51,239 --> 00:42:56,120 Speaker 2: the mid twenties. He already increased from like thirteen fifteen 789 00:42:56,160 --> 00:43:00,560 Speaker 2: percent to eighteen percent. You think he can't get another 790 00:43:00,600 --> 00:43:03,640 Speaker 2: few points more in in the twenties, of course he can. 791 00:43:04,320 --> 00:43:07,440 Speaker 2: Of course he can't. And Alleghany, it's funny. He went 792 00:43:07,520 --> 00:43:11,080 Speaker 2: up in Philly and dipped slightly down in Alleghany from 793 00:43:11,120 --> 00:43:14,520 Speaker 2: sixteen to twenty. And that's totally backwards if you look 794 00:43:14,560 --> 00:43:15,840 Speaker 2: on the map. As a matter of fact, let me 795 00:43:15,880 --> 00:43:19,560 Speaker 2: show you this while we're talking about Philly. Here's Philadelphia, folks. 796 00:43:19,600 --> 00:43:21,759 Speaker 2: As you can tell, there's a lot of interviews here. 797 00:43:22,520 --> 00:43:23,480 Speaker 3: This looks close. 798 00:43:24,160 --> 00:43:26,160 Speaker 2: I mean not close. I mean Biden's gonna win it. 799 00:43:26,200 --> 00:43:29,400 Speaker 2: But this is a lot more red than you would 800 00:43:29,480 --> 00:43:33,000 Speaker 2: ever expect to see. I've been doing this a long time. 801 00:43:33,719 --> 00:43:37,200 Speaker 2: This doesn't happen. You know, it's like weird shown he's 802 00:43:37,239 --> 00:43:43,120 Speaker 2: doing better in Philadelphia, but like getting I want to say, 803 00:43:43,120 --> 00:43:46,240 Speaker 2: you'd be lucky if he got like forty five percent 804 00:43:46,239 --> 00:43:48,200 Speaker 2: of the vote in Bucks County, like I kidnap, I 805 00:43:48,280 --> 00:43:50,960 Speaker 2: kid you not. Bucks is like seems to be me 806 00:43:51,520 --> 00:43:53,399 Speaker 2: seems to be moving to the left a little bit, 807 00:43:55,080 --> 00:43:57,640 Speaker 2: But you can make that up by winning a lot 808 00:43:57,719 --> 00:44:00,480 Speaker 2: more votes in Philly than you normally win. You can 809 00:44:00,560 --> 00:44:04,520 Speaker 2: clearly see that he is actually outperforming in the Philly suburbs. 810 00:44:04,840 --> 00:44:10,080 Speaker 2: He got crushed in Montgomery. In Delaware, he got crushed 811 00:44:10,120 --> 00:44:10,800 Speaker 2: in those characters. 812 00:44:10,880 --> 00:44:13,840 Speaker 3: Explain, Explain what you're seeing. Like when you say you 813 00:44:13,840 --> 00:44:17,680 Speaker 3: can clearly see tell us. Tell tell people what you're seeing, 814 00:44:17,719 --> 00:44:20,080 Speaker 3: because I want them to fully understand the game. 815 00:44:20,520 --> 00:44:24,400 Speaker 2: So let me put it this way. In the twenty 816 00:44:24,440 --> 00:44:26,759 Speaker 2: twenty Exapoles, if you go and look, you'll see that 817 00:44:26,800 --> 00:44:29,880 Speaker 2: Biden won the Philadelphia suburbs fifty eight to forty one. 818 00:44:30,120 --> 00:44:32,680 Speaker 2: We do things a little bit differently here because the 819 00:44:32,719 --> 00:44:39,560 Speaker 2: Philadelphia suburbs includes Burks, a bunch of counties that Republicans 820 00:44:39,760 --> 00:44:44,440 Speaker 2: do better in. It's really the three adjacent counties to 821 00:44:44,480 --> 00:44:47,880 Speaker 2: Pennsylvania where Republicans have real problem. It's going to be three, 822 00:44:48,280 --> 00:44:52,239 Speaker 2: but let's call it actually two. Montgomery and Delaware are 823 00:44:52,360 --> 00:44:56,000 Speaker 2: really bad news. Normally, you know, this poll would be 824 00:44:56,040 --> 00:44:59,680 Speaker 2: seventy five twenty five Biden in these areas. It's not 825 00:45:01,040 --> 00:45:04,280 Speaker 2: and he doesn't need to win it, guys. But currently 826 00:45:04,360 --> 00:45:09,400 Speaker 2: right now, combined with them, it's fifty three thirty five. 827 00:45:10,160 --> 00:45:13,960 Speaker 2: I mean that is not that's like thirteen points higher 828 00:45:13,960 --> 00:45:17,240 Speaker 2: than we had Trump and those two in twenty twenty. 829 00:45:17,520 --> 00:45:20,719 Speaker 2: And for Biden it's like twenty points lower. And even 830 00:45:20,760 --> 00:45:23,920 Speaker 2: if those people come home, he still lost ten points 831 00:45:23,960 --> 00:45:26,319 Speaker 2: to Donald Trump. There, that's a big deal. There are 832 00:45:26,320 --> 00:45:28,840 Speaker 2: a lot of voats, a lot of votes. And then 833 00:45:29,000 --> 00:45:31,279 Speaker 2: that's not even it Sean, wait for a second, let's 834 00:45:31,280 --> 00:45:34,000 Speaker 2: go you know how important these areas are. First of all, 835 00:45:34,080 --> 00:45:38,120 Speaker 2: look at I mean, Wilkes obviously is Trump country. It's 836 00:45:38,160 --> 00:45:43,160 Speaker 2: Trump country. But Scranton, Monroe, Lackawana, look at this, look 837 00:45:43,160 --> 00:45:46,919 Speaker 2: at all of this red. Joe Biden still has been 838 00:45:46,960 --> 00:45:50,799 Speaker 2: able to hold some of these Northeastern counties that he 839 00:45:50,880 --> 00:45:53,040 Speaker 2: was able to that had been shifting in the Trump era. 840 00:45:53,880 --> 00:45:58,399 Speaker 2: Hillary lost big, big ground there. And then there's Northampton, 841 00:45:58,560 --> 00:46:01,680 Speaker 2: which is the one and all. Well, they're outside of 842 00:46:01,680 --> 00:46:04,319 Speaker 2: Erie County. We've talked about this before. They're really only 843 00:46:04,400 --> 00:46:09,319 Speaker 2: two swing counties in Pennsylvania in the last few presidential elections, 844 00:46:09,560 --> 00:46:14,520 Speaker 2: and that's Northampton and that is Erie County. You can 845 00:46:14,560 --> 00:46:18,560 Speaker 2: see a lot of Trump's support in Northampton compared to Biden. 846 00:46:19,000 --> 00:46:21,560 Speaker 2: And what about Erie County. Biden's doing a little bit 847 00:46:21,560 --> 00:46:27,040 Speaker 2: better there, which is strange. They usually vote almost identical. 848 00:46:27,880 --> 00:46:31,440 Speaker 2: But as you can see, because the region is is important, 849 00:46:31,440 --> 00:46:35,120 Speaker 2: there are similar demographics in each in these areas, so 850 00:46:35,160 --> 00:46:38,960 Speaker 2: we know how certain counties are likely to vote. At 851 00:46:38,960 --> 00:46:41,640 Speaker 2: this point, Trump is going to carry both both Erie 852 00:46:41,719 --> 00:46:45,000 Speaker 2: and Northampton. It'll be close, but he's going to carry 853 00:46:45,000 --> 00:46:47,880 Speaker 2: them both. You know, I'm probably like fifty three forty seven, 854 00:46:48,280 --> 00:46:51,719 Speaker 2: which is just I mean, that's shawn, that's devastating. I 855 00:46:51,760 --> 00:46:55,680 Speaker 2: know it sounds close, but that's a really strong performance 856 00:46:55,760 --> 00:46:59,640 Speaker 2: for a Republican candidate. And then put putting on top 857 00:46:59,719 --> 00:47:02,440 Speaker 2: of that, how good he's gonna do in areas like 858 00:47:02,520 --> 00:47:06,040 Speaker 2: Lazerne and Monroe, which you know has been stubborn. He 859 00:47:06,080 --> 00:47:08,160 Speaker 2: hasn't been able to flip it. It looks like it's 860 00:47:08,160 --> 00:47:11,960 Speaker 2: flipping now, which would make it the third county to 861 00:47:12,000 --> 00:47:15,800 Speaker 2: flip again. It's only been too flipping counties in the 862 00:47:15,880 --> 00:47:20,319 Speaker 2: last couple of election cycles in Pennsylvania. And then here's Alleghany. 863 00:47:20,400 --> 00:47:24,800 Speaker 2: He's already at forty percent without leaners in Alleghany County. 864 00:47:25,920 --> 00:47:28,400 Speaker 3: That's amazing out leaners. 865 00:47:28,719 --> 00:47:32,479 Speaker 2: Yeah, that's the big deal is that, you know, off 866 00:47:32,520 --> 00:47:37,760 Speaker 2: the jump, he just grabs just about forty percent with leaners. 867 00:47:38,040 --> 00:47:41,320 Speaker 2: Here we go, here we go with leaners. Alleghany County 868 00:47:41,440 --> 00:47:46,480 Speaker 2: is fifty seven forty three. We always wait down. So 869 00:47:46,640 --> 00:47:49,480 Speaker 2: believe me when I tell you that's like two hundred 870 00:47:49,640 --> 00:47:56,000 Speaker 2: so interviews just in Alleghany. That's not something we would 871 00:47:56,000 --> 00:47:59,760 Speaker 2: normally say. I went and looked with leaners. In twenty twenty, 872 00:47:59,800 --> 00:48:02,080 Speaker 2: we had him at thirty seven point seven. 873 00:48:02,480 --> 00:48:02,719 Speaker 3: Yep. 874 00:48:03,080 --> 00:48:06,439 Speaker 2: And that's bust. By the way, that's basically what he got, 875 00:48:06,920 --> 00:48:09,400 Speaker 2: you know, I mean, we were dead on. He slipped. 876 00:48:09,400 --> 00:48:11,680 Speaker 2: He got like thirty nine percent. You can't do that. 877 00:48:11,719 --> 00:48:14,000 Speaker 2: You've got to get in the forties in Alleghany. Just 878 00:48:14,080 --> 00:48:17,080 Speaker 2: doesn't it. I don't care, no, just one. 879 00:48:19,040 --> 00:48:21,160 Speaker 3: I was in the forties in Alleghany in twenty twenty, 880 00:48:21,200 --> 00:48:23,640 Speaker 3: and I overperformed Trump there, which is crazy to me. 881 00:48:23,960 --> 00:48:28,920 Speaker 3: It's crazy. I mean, I have to ask you. I've 882 00:48:28,920 --> 00:48:30,759 Speaker 3: got two things, and I don't want to I want 883 00:48:30,760 --> 00:48:32,839 Speaker 3: to talk about two more things before actually three more 884 00:48:32,880 --> 00:48:37,719 Speaker 3: things before you go. I've got to ask you about 885 00:48:37,920 --> 00:48:41,560 Speaker 3: very quickly, about these forty seven thousand shifting to Wisconsin. 886 00:48:42,200 --> 00:48:47,120 Speaker 3: Wisconsinight's voting uninstructed. Yeah, I don't want to shift away 887 00:48:47,120 --> 00:48:49,880 Speaker 3: from Pennsylvania. I just got to ask about this. But 888 00:48:51,160 --> 00:48:55,040 Speaker 3: what it boiled down to was in the in the 889 00:48:55,080 --> 00:48:58,560 Speaker 3: base of his party is giving Biden and ultimatum basically saying, 890 00:48:59,040 --> 00:49:03,200 Speaker 3: Nina Turner, this crazy whack job radical leftist pro Hamas 891 00:49:03,920 --> 00:49:08,200 Speaker 3: terrorist sympathizer, said this president must decide if loyalty to 892 00:49:08,280 --> 00:49:12,120 Speaker 3: Netanyah who is worth delivering Trump the election in November. 893 00:49:12,160 --> 00:49:15,920 Speaker 3: He must decide. There is an open revolt on his party. 894 00:49:16,040 --> 00:49:22,799 Speaker 3: And forty seven thousand people voted uninstruction uninstructed, and that's 895 00:49:22,880 --> 00:49:26,440 Speaker 3: double the margin of Biden's win quote unquote win in 896 00:49:26,480 --> 00:49:28,920 Speaker 3: Wisconsin in twenty twenty. I mean, that's a huge deal. 897 00:49:29,520 --> 00:49:31,520 Speaker 2: I gotta tell you, you know, because people were saying, 898 00:49:31,520 --> 00:49:34,120 Speaker 2: you know, well, Trump looked like he had a protest vote, 899 00:49:34,120 --> 00:49:36,800 Speaker 2: and it was weak in Wisconsin. Wisconsin Member Ted Cruz 900 00:49:36,840 --> 00:49:40,360 Speaker 2: one Wisconsin. It is a different kind of state Attitudinally, 901 00:49:40,800 --> 00:49:43,960 Speaker 2: Wisconsin is the worst state for Trump out of the three, 902 00:49:44,040 --> 00:49:46,640 Speaker 2: even though it has been his strongest as far as 903 00:49:46,680 --> 00:49:50,160 Speaker 2: the margin goes. I'm wondering if that ends this year. 904 00:49:50,280 --> 00:49:53,520 Speaker 2: I really am. Even though Wisconsin can throw you for 905 00:49:53,560 --> 00:49:56,120 Speaker 2: a loop, It's more rural, it can be a little 906 00:49:56,120 --> 00:49:58,440 Speaker 2: bit more difficult to pull like a sock or a 907 00:49:58,560 --> 00:50:01,520 Speaker 2: Juno county compared to you know, some of these other 908 00:50:01,680 --> 00:50:06,520 Speaker 2: counties in Pennsylvania or Michigan. So yeah, I mean it 909 00:50:06,640 --> 00:50:10,880 Speaker 2: is possible, but there's no doubt some had. There's protest 910 00:50:10,960 --> 00:50:14,000 Speaker 2: votes and some I actually think that some in Nicki 911 00:50:14,040 --> 00:50:16,840 Speaker 2: Haley's vote. Again, it was an open primary, and I 912 00:50:16,920 --> 00:50:20,440 Speaker 2: did hear about a bunch of people in racing rallying together. 913 00:50:20,480 --> 00:50:22,960 Speaker 2: They didn't want to vote uninstructed, so they were like, hell, 914 00:50:22,960 --> 00:50:25,560 Speaker 2: it will vote for Nicki Haley. I bet that happened 915 00:50:25,600 --> 00:50:29,279 Speaker 2: in a lot of counties there. I mean, if you 916 00:50:29,560 --> 00:50:34,560 Speaker 2: are go, if you are serious and you believe in 917 00:50:34,600 --> 00:50:37,600 Speaker 2: an issue like this so strongly, how does he get 918 00:50:37,600 --> 00:50:41,359 Speaker 2: them to come home? Without Really he's in a real 919 00:50:41,440 --> 00:50:47,000 Speaker 2: bad spot if he turns on net and Yahoo. It's 920 00:50:47,040 --> 00:50:51,440 Speaker 2: almost difficult. It's not almost. It is difficult, brother, to 921 00:50:51,719 --> 00:50:55,480 Speaker 2: measure the impact of how that could screw you. Is 922 00:50:55,520 --> 00:50:58,440 Speaker 2: it bigger than this protest vote you know that you're 923 00:50:58,440 --> 00:51:02,040 Speaker 2: getting because really the truth is Democrats their coalition is 924 00:51:02,080 --> 00:51:06,200 Speaker 2: so tenuous. It's so damn tenuous. It's been holding together 925 00:51:06,280 --> 00:51:10,400 Speaker 2: by a thread for years. They need to keep everybody happy, 926 00:51:10,440 --> 00:51:13,880 Speaker 2: even though all of these people are like diametrically opposed 927 00:51:13,880 --> 00:51:17,799 Speaker 2: to each other. You know, you have so called you know, 928 00:51:19,160 --> 00:51:21,920 Speaker 2: supporters of Israel that are on the democratic side, and 929 00:51:22,440 --> 00:51:25,799 Speaker 2: they just have different philosophies on government and the role 930 00:51:25,840 --> 00:51:29,040 Speaker 2: of government, so they're Democrats, and then they are in 931 00:51:29,080 --> 00:51:31,840 Speaker 2: the same party with people who really just want to 932 00:51:31,920 --> 00:51:33,719 Speaker 2: kill every Jew in the face of the earth. I mean, 933 00:51:33,800 --> 00:51:38,200 Speaker 2: it's insane. Funny thing is my son came to me 934 00:51:38,239 --> 00:51:41,359 Speaker 2: the other day fourteen years old, and he loves history, 935 00:51:41,360 --> 00:51:45,160 Speaker 2: he loves stuff. But he's like, what on earth if? Like, 936 00:51:45,200 --> 00:51:47,880 Speaker 2: what is Joe Biden? He doesn't like Joe Biden, but 937 00:51:47,920 --> 00:51:50,319 Speaker 2: he's like, what is he supposed to do? Like I 938 00:51:50,320 --> 00:51:53,040 Speaker 2: don't get dad, Like, what do you support a two 939 00:51:53,080 --> 00:51:56,520 Speaker 2: state solution or like, what is it that you support? 940 00:51:56,520 --> 00:51:59,280 Speaker 2: I'm non understanding why there can't just be two states 941 00:51:59,680 --> 00:52:04,240 Speaker 2: and just explain to him they one does not recognize 942 00:52:04,280 --> 00:52:08,280 Speaker 2: the right of the other to exist. So there's nothing 943 00:52:08,360 --> 00:52:11,560 Speaker 2: you can do, son with a group of people that 944 00:52:11,800 --> 00:52:16,600 Speaker 2: don't recognize your right to breathe and live. And you know, 945 00:52:17,520 --> 00:52:19,719 Speaker 2: try to raise him, you know, as a Christian, as 946 00:52:19,760 --> 00:52:22,200 Speaker 2: a believer, anyway he can be what he wants to be. 947 00:52:22,280 --> 00:52:24,560 Speaker 2: I hope he's he is, but I hope he turns 948 00:52:24,600 --> 00:52:27,560 Speaker 2: out to be a Christian. But he's still gonna believe 949 00:52:27,560 --> 00:52:30,520 Speaker 2: in a creator and an architect. He knows the history, brother, 950 00:52:30,600 --> 00:52:32,840 Speaker 2: he knows his Bible. You know who the hell was 951 00:52:32,880 --> 00:52:36,360 Speaker 2: there first? And they just don't, you know, they just 952 00:52:36,400 --> 00:52:39,680 Speaker 2: don't want everyone to obey the laws of human civilization. 953 00:52:39,920 --> 00:52:42,480 Speaker 2: I mean, they don't want them to exist. Every time 954 00:52:42,520 --> 00:52:47,560 Speaker 2: they rally some violence against them and wage violence against them, 955 00:52:47,880 --> 00:52:50,000 Speaker 2: they lose, and then we're all supposed to feel bad 956 00:52:50,040 --> 00:52:53,000 Speaker 2: for them, and you know, everyone else gets conquered, everyone 957 00:52:53,000 --> 00:52:55,719 Speaker 2: else gets puts under the thumb, everyone else gets stamped 958 00:52:56,080 --> 00:53:00,879 Speaker 2: out of the history. Buck not the Palestinians know they 959 00:53:00,880 --> 00:53:04,319 Speaker 2: can pull together the entire era of damn world to 960 00:53:04,719 --> 00:53:08,239 Speaker 2: fight tiny little Israel. Israel kicks their ass and we're 961 00:53:08,239 --> 00:53:10,680 Speaker 2: all supposed to give them back their toys after. I mean, 962 00:53:10,719 --> 00:53:14,080 Speaker 2: this is nobody has ever done this before. I think, 963 00:53:14,120 --> 00:53:16,720 Speaker 2: can you name me another civilization where this has happened? 964 00:53:17,120 --> 00:53:17,640 Speaker 3: I can't. 965 00:53:18,080 --> 00:53:21,360 Speaker 2: You can't any nation they want to be an Asian, 966 00:53:22,040 --> 00:53:26,279 Speaker 2: any other nation wage war and lose and get their 967 00:53:26,320 --> 00:53:27,000 Speaker 2: property back? 968 00:53:28,360 --> 00:53:35,760 Speaker 3: Yow. Okay, so you're exactly right. Okay, pivoting very quickly. 969 00:53:35,880 --> 00:53:38,640 Speaker 3: You talked about the electoral College. You have the map accessible? 970 00:53:39,480 --> 00:53:42,640 Speaker 3: Uh yeah, can you pull it up quickly? And while 971 00:53:42,640 --> 00:53:44,839 Speaker 3: you're While you're doing that, I want to break down 972 00:53:44,920 --> 00:53:48,319 Speaker 3: like what just happened in Nebraska and their unicameral legislature 973 00:53:48,440 --> 00:53:52,120 Speaker 3: has now had this filibuster Yes, and this is exactly 974 00:53:52,200 --> 00:53:53,560 Speaker 3: what I want to I want to show people and 975 00:53:53,600 --> 00:53:57,279 Speaker 3: I want you to describe it number by number for them. 976 00:53:57,360 --> 00:54:02,440 Speaker 3: But but the Nebraska state Legislature now has a filibuster 977 00:54:02,640 --> 00:54:07,000 Speaker 3: proof Republican majority as Senator Mike McDonald switches parties from 978 00:54:07,040 --> 00:54:11,880 Speaker 3: Democrats to Republican. This has massive implications for passing LB 979 00:54:12,320 --> 00:54:16,239 Speaker 3: seven sixty four, which would switch Nebraska to win or 980 00:54:16,280 --> 00:54:21,280 Speaker 3: take all electoral college and block Joe Biden's the easiest 981 00:54:21,320 --> 00:54:24,640 Speaker 3: path to the presidency. So right now, if let me 982 00:54:24,680 --> 00:54:28,920 Speaker 3: just set this up for people. If Trump wins Nevada, Arizona, 983 00:54:28,960 --> 00:54:34,759 Speaker 3: and Georgia and then loses Pennsylvania, Wisconsin, and Michigan, and 984 00:54:34,920 --> 00:54:40,319 Speaker 3: Biden wins this small little congressional district in Nebraska and 985 00:54:40,400 --> 00:54:44,319 Speaker 3: gets him one electoral vote, yes, despite Trump winning the 986 00:54:44,360 --> 00:54:47,959 Speaker 3: rest of the entire state, Biden would have a very 987 00:54:48,120 --> 00:54:51,640 Speaker 3: very very simple path to two seventy because right now, 988 00:54:51,719 --> 00:54:55,400 Speaker 3: Nebraska is not a winner take all state. And Biden, 989 00:54:55,719 --> 00:54:59,920 Speaker 3: I think won this congressional district in Nebraska something like 990 00:55:00,400 --> 00:55:04,120 Speaker 3: fifty two to forty eight last cycle. But the reason 991 00:55:04,120 --> 00:55:08,279 Speaker 3: why this filibuster proof majority and a Republican controlled state 992 00:55:08,360 --> 00:55:11,000 Speaker 3: legislature with a Republican governor. There is a bill that's 993 00:55:11,040 --> 00:55:13,439 Speaker 3: about to be on the on the Republican governor's desk 994 00:55:14,000 --> 00:55:18,080 Speaker 3: and with a filibuster proof majority that would make Nebraska 995 00:55:18,120 --> 00:55:20,640 Speaker 3: a winner take all state. If it's a winner take 996 00:55:20,680 --> 00:55:25,160 Speaker 3: all state, it removes Biden's easiest path to two seventy 997 00:55:25,400 --> 00:55:28,440 Speaker 3: rich And so I'd like to talk this through with 998 00:55:28,560 --> 00:55:31,600 Speaker 3: you with the map, if we could take take it 999 00:55:31,640 --> 00:55:32,279 Speaker 3: away my friend. 1000 00:55:32,680 --> 00:55:34,000 Speaker 2: And by the way, I just wanted to let you 1001 00:55:34,040 --> 00:55:36,640 Speaker 2: know that you did very well with your opening explaining 1002 00:55:36,640 --> 00:55:40,319 Speaker 2: to people transactions, because I get fairly upset. I get 1003 00:55:40,360 --> 00:55:43,799 Speaker 2: really upset when somebody does is too lazy to pick 1004 00:55:43,840 --> 00:55:46,279 Speaker 2: up the phone and call someone who knows better and 1005 00:55:46,320 --> 00:55:48,799 Speaker 2: then blast something out on social media that then gets 1006 00:55:48,800 --> 00:55:51,120 Speaker 2: fact checked and debunked and makes us all look stupid. 1007 00:55:51,400 --> 00:55:53,680 Speaker 2: So the next time somebody with a real whistle gets 1008 00:55:53,840 --> 00:55:56,839 Speaker 2: tries to blow it, they're just painted with the same 1009 00:55:56,880 --> 00:55:58,000 Speaker 2: brush and dismissed. 1010 00:55:58,320 --> 00:56:01,640 Speaker 3: So rich, I can verstand. I can understand why people 1011 00:56:01,640 --> 00:56:03,879 Speaker 3: were suspicious, but we got to be We gotta be right. 1012 00:56:04,360 --> 00:56:06,640 Speaker 2: Two. I mean, did you not did they not learn 1013 00:56:06,680 --> 00:56:09,240 Speaker 2: anything from twenty twenty You have to be more careful 1014 00:56:09,280 --> 00:56:11,440 Speaker 2: than that. I mean, that's really it. I mean I 1015 00:56:11,719 --> 00:56:14,040 Speaker 2: was right, and I was still fact checked, and you know, 1016 00:56:14,120 --> 00:56:16,839 Speaker 2: I mean we talked about you know, the story. But yeah, 1017 00:56:16,920 --> 00:56:19,839 Speaker 2: let's talk about it because really two things are going on, 1018 00:56:21,120 --> 00:56:23,360 Speaker 2: and there's one thing that makes this all very possible, 1019 00:56:23,719 --> 00:56:26,719 Speaker 2: and that is the census. So and let me just 1020 00:56:26,760 --> 00:56:31,560 Speaker 2: say this for the record, Nebraska one was shifting to 1021 00:56:31,560 --> 00:56:34,200 Speaker 2: the left long before Donald Trump ever came along. This 1022 00:56:34,320 --> 00:56:37,360 Speaker 2: isn't yet another thing. Never Trump and all the Rhinos 1023 00:56:37,400 --> 00:56:41,080 Speaker 2: blame him for It's their own damn fault from making 1024 00:56:41,160 --> 00:56:45,560 Speaker 2: a miniature Wall Street in the district. Go to your mailbox, 1025 00:56:46,000 --> 00:56:48,239 Speaker 2: look at your credit card bill and look at the 1026 00:56:48,280 --> 00:56:50,759 Speaker 2: return address on it, and you will see that it 1027 00:56:50,800 --> 00:56:55,440 Speaker 2: came from Nebraska. That's where all of those financial places 1028 00:56:55,560 --> 00:56:58,560 Speaker 2: there now, city group everything. You bring that kind of 1029 00:56:58,600 --> 00:57:02,080 Speaker 2: an economy to your state, you will turn democratic. It's 1030 00:57:02,120 --> 00:57:05,800 Speaker 2: that simple. They are not Republican jobs, they are Democrat jobs. 1031 00:57:06,840 --> 00:57:11,360 Speaker 2: And anyway, the census made it easier for Trump to 1032 00:57:11,400 --> 00:57:14,399 Speaker 2: win the presidency, all right, just make it. I'll say 1033 00:57:14,440 --> 00:57:18,120 Speaker 2: that very simple. Why because the West is growing, the 1034 00:57:18,160 --> 00:57:21,400 Speaker 2: South is growing, the Midwest is not, and the Northeast 1035 00:57:21,440 --> 00:57:25,480 Speaker 2: is dying. So New York used to have twice almost 1036 00:57:25,480 --> 00:57:28,600 Speaker 2: twice as many new electoral votes, folks. I mean, PA 1037 00:57:29,840 --> 00:57:32,920 Speaker 2: is nineteen electoral college votes. It's a powerhouse. It used 1038 00:57:32,920 --> 00:57:34,040 Speaker 2: to be an even bigger one. 1039 00:57:34,240 --> 00:57:34,600 Speaker 3: All right. 1040 00:57:34,680 --> 00:57:38,160 Speaker 2: So same thing with some of those Midwestern Ohio lost 1041 00:57:38,160 --> 00:57:42,080 Speaker 2: electoral votes in the last twenty years. This is a 1042 00:57:42,160 --> 00:57:46,000 Speaker 2: direction it's been going for a while, the sun Belt, right, 1043 00:57:46,240 --> 00:57:49,880 Speaker 2: because you have parts of these plain states and other 1044 00:57:49,920 --> 00:57:53,280 Speaker 2: Mountain states. You definitely have the South, which is really growing, 1045 00:57:53,520 --> 00:57:56,120 Speaker 2: and then you have the West, even though Oregon and 1046 00:57:57,080 --> 00:58:00,280 Speaker 2: Washington or another story like this is the sun I 1047 00:58:00,320 --> 00:58:01,480 Speaker 2: don't know if you can see what I'm doing at 1048 00:58:01,480 --> 00:58:04,360 Speaker 2: my mouse, but runs through parts of the middle of 1049 00:58:04,480 --> 00:58:07,720 Speaker 2: North Carolina runs up and they're calling it the sun 1050 00:58:07,800 --> 00:58:12,000 Speaker 2: Belt strategy because if he wins Nevada, watch this guy's okay. 1051 00:58:12,720 --> 00:58:17,320 Speaker 2: If he wins Nevada, if he wins Trump. If Trump Winsvada, yes, Trump. 1052 00:58:17,640 --> 00:58:20,920 Speaker 2: If he wins Nevada, if he wins Arizona, if he 1053 00:58:20,960 --> 00:58:24,960 Speaker 2: wins Georgia, if he wins North Carolina. He is currently 1054 00:58:25,160 --> 00:58:29,600 Speaker 2: at two sixty eight if they pass this bill. And 1055 00:58:29,640 --> 00:58:32,280 Speaker 2: by the way, he's gonna win Maine's first congressional district, 1056 00:58:32,480 --> 00:58:34,760 Speaker 2: which is the only other state in the Union to be, 1057 00:58:34,960 --> 00:58:39,560 Speaker 2: like Nebraska, an issue statewide electoral college votes for the 1058 00:58:39,560 --> 00:58:41,880 Speaker 2: winner of the state wide vote, but then also an 1059 00:58:41,920 --> 00:58:46,360 Speaker 2: electoral college vote for each congressional district. Trump is currently 1060 00:58:46,480 --> 00:58:50,680 Speaker 2: ahead in the most recent polding statewide in Maine. But 1061 00:58:50,800 --> 00:58:53,000 Speaker 2: let's just say for the sake of this argument, that 1062 00:58:53,120 --> 00:58:56,320 Speaker 2: he loses Maine, he does get the second congressional district 1063 00:58:57,000 --> 00:59:02,320 Speaker 2: Let's say that he loses the first and these three 1064 00:59:03,200 --> 00:59:05,920 Speaker 2: turn out to be super super close nail biters, but 1065 00:59:06,000 --> 00:59:07,680 Speaker 2: he just can't pull it off. And by the way, 1066 00:59:07,760 --> 00:59:08,600 Speaker 2: let me you're talking. 1067 00:59:08,800 --> 00:59:12,840 Speaker 3: You're talking Wisconsin, Michigan, and Pennsylvania by these three, that's 1068 00:59:12,880 --> 00:59:15,600 Speaker 3: what you mean by you're saying Biden, it's a squeaker, 1069 00:59:15,600 --> 00:59:16,560 Speaker 3: but Biden wins. 1070 00:59:17,240 --> 00:59:20,280 Speaker 2: Yeah, it's a squeaker, but Biden pulls it out if 1071 00:59:20,320 --> 00:59:26,160 Speaker 2: he can get though. Well, let me just show you squeaker, squeaker, squeaker, 1072 00:59:26,800 --> 00:59:32,920 Speaker 2: he's a two seventy. If Nebraska this bill passes, then 1073 00:59:32,960 --> 00:59:37,520 Speaker 2: guess what this is gonna go to Donald Trump anyway, 1074 00:59:38,080 --> 00:59:41,120 Speaker 2: and it will be a tie. What happens to ties 1075 00:59:42,600 --> 00:59:44,920 Speaker 2: they get thrown ware to the House? 1076 00:59:45,360 --> 00:59:46,880 Speaker 3: Yep, who runs the House? 1077 00:59:47,600 --> 00:59:50,840 Speaker 2: It would be a Donald Trump presidency. The House would 1078 00:59:50,840 --> 00:59:51,720 Speaker 2: see Donald Trump. 1079 00:59:51,760 --> 00:59:53,320 Speaker 3: And and by the way, by the way, just so 1080 00:59:53,360 --> 00:59:56,640 Speaker 3: everyone's tracking, This is why I really need you to 1081 00:59:56,720 --> 01:00:00,280 Speaker 3: understand this, folks, is why the Democrats are trying ying 1082 01:00:00,480 --> 01:00:05,040 Speaker 3: so hard to entice Republicans to retire so mean. Look 1083 01:00:05,040 --> 01:00:09,120 Speaker 3: at Mike Allaghy, wiscons Early retirement seven figure salary. They're 1084 01:00:09,160 --> 01:00:12,480 Speaker 3: trying to take control of the House because the likelihood 1085 01:00:12,520 --> 01:00:17,360 Speaker 3: of an electoral call. That's exactly right. And the Democrats 1086 01:00:17,440 --> 01:00:21,040 Speaker 3: want control of the House so that if there's a tie, 1087 01:00:21,520 --> 01:00:24,720 Speaker 3: they're the tie breaker. That is the plan. That is 1088 01:00:24,760 --> 01:00:25,160 Speaker 3: the plan. 1089 01:00:26,320 --> 01:00:29,520 Speaker 2: Let me say this as straightforward as I possibly can. 1090 01:00:30,040 --> 01:00:33,760 Speaker 2: Democrats are trying to put your candidate in jail. They're 1091 01:00:33,760 --> 01:00:36,800 Speaker 2: trying to put They're not trying. They are putting your 1092 01:00:36,840 --> 01:00:42,280 Speaker 2: supporters in jail, all right. They are blackmailing congressmen and 1093 01:00:42,480 --> 01:00:47,680 Speaker 2: threatening congressmen, bribing congressman with jobs to get them to retire. 1094 01:00:48,400 --> 01:00:53,120 Speaker 2: This is what they are willing to do to win Nebraska. 1095 01:00:53,200 --> 01:00:55,600 Speaker 2: What are you willing to do? You can't pass a 1096 01:00:55,600 --> 01:00:59,640 Speaker 2: freaking bill that gives anyway. What you're doing is giving 1097 01:00:59,640 --> 01:01:03,360 Speaker 2: the final financial district of your state, which doesn't represent 1098 01:01:03,440 --> 01:01:05,920 Speaker 2: anything about the state of Nebraska, by the way, that 1099 01:01:06,000 --> 01:01:07,080 Speaker 2: tiny little part of it. 1100 01:01:07,160 --> 01:01:07,560 Speaker 3: That's it. 1101 01:01:08,360 --> 01:01:11,720 Speaker 2: You are giving them the authority over your state's voice, 1102 01:01:12,040 --> 01:01:15,560 Speaker 2: which will vote overwhelmingly for Donald Trump it may and 1103 01:01:15,600 --> 01:01:18,160 Speaker 2: by the way, which could very well be the electoral 1104 01:01:18,240 --> 01:01:24,320 Speaker 2: vote that hands Biden the presidency. Let me do this again. Boom, 1105 01:01:24,480 --> 01:01:29,120 Speaker 2: He's at to seventy. It's done now, wouldn't it be crazy? 1106 01:01:29,960 --> 01:01:33,480 Speaker 2: Wouldn't it just be crazy if this is what happened. 1107 01:01:34,800 --> 01:01:38,760 Speaker 2: Oh my god, it's possible. I means, just the way 1108 01:01:38,760 --> 01:01:41,520 Speaker 2: we're seeing with the things we're seeing with these shifts now. 1109 01:01:41,560 --> 01:01:44,920 Speaker 2: But again, for the purpose of this argument, this is 1110 01:01:44,960 --> 01:01:50,680 Speaker 2: what that inevitable scenario would or that potential scenario would 1111 01:01:50,680 --> 01:01:55,400 Speaker 2: look like. And Republicans could easily end that there's nothing 1112 01:01:55,440 --> 01:01:57,720 Speaker 2: preventing them from doing And Sean, and by the way, 1113 01:01:57,800 --> 01:02:02,320 Speaker 2: I have heard, I have heard that this bill has 1114 01:02:02,360 --> 01:02:03,600 Speaker 2: got momentum. 1115 01:02:04,720 --> 01:02:08,920 Speaker 3: That's amazing. Okay, well, yeah, we will see. We'll definitely 1116 01:02:09,000 --> 01:02:11,520 Speaker 3: keep our ear to the ground on that one. All Right, 1117 01:02:11,840 --> 01:02:14,520 Speaker 3: You've been here for almost a full hour, and of 1118 01:02:14,720 --> 01:02:17,479 Speaker 3: always always grateful because you really bailed me out today. 1119 01:02:17,480 --> 01:02:19,320 Speaker 3: I've had a hell of a day and thank you 1120 01:02:19,400 --> 01:02:22,480 Speaker 3: and thank Laura for that. But you've got we've got 1121 01:02:22,480 --> 01:02:27,760 Speaker 3: to do an update on little Savage Winston. Please break 1122 01:02:27,800 --> 01:02:29,920 Speaker 3: that news here, Victory. 1123 01:02:32,160 --> 01:02:34,960 Speaker 2: I told you it's a family of winners, but only 1124 01:02:35,000 --> 01:02:42,160 Speaker 2: because only because you guys, Brock Wendy Obviously the locals page. 1125 01:02:42,160 --> 01:02:46,240 Speaker 2: You all went to bat though I don't know what 1126 01:02:46,320 --> 01:02:50,919 Speaker 2: the final vote was, but the semifinal was a bloodbath. 1127 01:02:51,440 --> 01:02:54,560 Speaker 2: It was overwhelming so, uh. 1128 01:02:55,160 --> 01:02:57,040 Speaker 3: Wait a second, are you kidding me? A blood bath? 1129 01:02:57,200 --> 01:03:01,400 Speaker 3: Stop talking about violence against dog tyron? Blood bath? What 1130 01:03:01,440 --> 01:03:04,040 Speaker 3: the hell is this bloodbath stuff? You're violent rhetoric is 1131 01:03:04,120 --> 01:03:04,760 Speaker 3: scaring me. 1132 01:03:06,400 --> 01:03:11,160 Speaker 2: Saturday, we're gonna go to this beautiful awards ceremony where 1133 01:03:11,200 --> 01:03:15,640 Speaker 2: Winston will get his award and hopefully we'll pair some 1134 01:03:15,760 --> 01:03:19,440 Speaker 2: dogs with some vets and uh, it's gonna be really cool. 1135 01:03:19,520 --> 01:03:22,000 Speaker 2: But it's great to win. It's you know, I don't 1136 01:03:22,000 --> 01:03:25,360 Speaker 2: know about you, bro, I like winning, you know, And yeah, 1137 01:03:25,440 --> 01:03:27,600 Speaker 2: I mean this really, but it all comes down to 1138 01:03:27,640 --> 01:03:30,200 Speaker 2: everybody who did that. I mean, you know, really did 1139 01:03:30,240 --> 01:03:32,360 Speaker 2: click on that link and vote every day with a 1140 01:03:32,400 --> 01:03:34,560 Speaker 2: pain in the butt and they did it, sewn, they 1141 01:03:34,600 --> 01:03:37,280 Speaker 2: did it. That's really cool and I got to thank 1142 01:03:37,320 --> 01:03:39,600 Speaker 2: them all for it. I really appreciate it, and so 1143 01:03:39,760 --> 01:03:40,480 Speaker 2: does Winston. 1144 01:03:42,000 --> 01:03:43,800 Speaker 3: Well we are. We are happy to do it. Man. 1145 01:03:43,840 --> 01:03:46,840 Speaker 3: We love supporting you, we love we love your family, 1146 01:03:46,880 --> 01:03:51,880 Speaker 3: we love Savage Winston. Yeah, man, it's awesome. I'm so 1147 01:03:52,000 --> 01:03:53,760 Speaker 3: glad that he won. I remember I was texting you. 1148 01:03:53,760 --> 01:03:56,200 Speaker 3: I'm like, so, what's going on? I'm like, hell, am 1149 01:03:56,200 --> 01:03:59,120 Speaker 3: I invested in this? It's not even signing my text 1150 01:03:59,280 --> 01:04:00,920 Speaker 3: you every day, I'm like, what's up with Winston? So 1151 01:04:00,960 --> 01:04:04,400 Speaker 3: what's going on with Winston? What's the vote now? Good 1152 01:04:04,440 --> 01:04:06,480 Speaker 3: lord man, shut up, No. 1153 01:04:06,360 --> 01:04:08,280 Speaker 2: I just don't it was I didn't know it was 1154 01:04:08,360 --> 01:04:10,880 Speaker 2: something like Laura, but why aren't we hearing anything? And 1155 01:04:10,920 --> 01:04:13,400 Speaker 2: then you know, it did dawn on me. Maybe they 1156 01:04:13,440 --> 01:04:16,480 Speaker 2: don't want to spoil it before the event, but they 1157 01:04:16,520 --> 01:04:20,560 Speaker 2: actually did just today. And because when did voting close 1158 01:04:20,600 --> 01:04:23,040 Speaker 2: three days ago? You know, and we've all been in 1159 01:04:23,080 --> 01:04:25,960 Speaker 2: suspense here, everybody has. They have all been in suspense 1160 01:04:26,280 --> 01:04:28,880 Speaker 2: other dog owners, you know. I mean we all knews 1161 01:04:28,960 --> 01:04:31,960 Speaker 2: in the finals it's not not owners but the other 1162 01:04:32,040 --> 01:04:35,439 Speaker 2: dog owner, you know. So it looks like it did 1163 01:04:35,480 --> 01:04:37,840 Speaker 2: well too. I don't know the final numbers yet, but 1164 01:04:37,880 --> 01:04:39,840 Speaker 2: I mean it looks like it did well. This after all, 1165 01:04:39,960 --> 01:04:44,080 Speaker 2: was for charity, and you know, to get people to participate, 1166 01:04:44,360 --> 01:04:46,560 Speaker 2: there was a link there that said and donate, you know, 1167 01:04:46,760 --> 01:04:51,800 Speaker 2: contribute to a pause for heroes. And you know, I 1168 01:04:52,120 --> 01:04:55,280 Speaker 2: have no doubt that people that did this to vote 1169 01:04:55,320 --> 01:04:58,720 Speaker 2: for Winston probably did do just that. Because I don't 1170 01:04:58,800 --> 01:05:01,360 Speaker 2: know the number yet, but I I've heard that they're 1171 01:05:01,480 --> 01:05:05,520 Speaker 2: very happy with how this went. So that's that's just great. 1172 01:05:05,760 --> 01:05:08,680 Speaker 3: That's great man. Okay, so real quickly before you pop smoke, 1173 01:05:08,760 --> 01:05:11,720 Speaker 3: tell us where we can find you and support you, 1174 01:05:11,760 --> 01:05:15,040 Speaker 3: And I strongly recommend you subscribe and follow rich on Locals. 1175 01:05:15,040 --> 01:05:18,200 Speaker 3: That's how he's able to bring us all these awesome polls. 1176 01:05:18,240 --> 01:05:20,000 Speaker 3: So if you can, I know it's out there in 1177 01:05:20,000 --> 01:05:23,120 Speaker 3: the Biden economy, support rich on locals for sure, But 1178 01:05:23,160 --> 01:05:25,120 Speaker 3: where else rich Yeah, I mean. 1179 01:05:25,360 --> 01:05:28,280 Speaker 2: That's the central hub people's pundit dot locals dot com. 1180 01:05:28,320 --> 01:05:30,280 Speaker 2: But also I mean even if you don't want to 1181 01:05:30,360 --> 01:05:32,600 Speaker 2: join up on locals, you can still see It'll say 1182 01:05:32,600 --> 01:05:35,360 Speaker 2: support our polls. You can click on it. They're crowdfunded 1183 01:05:35,600 --> 01:05:38,800 Speaker 2: and as we say at the bottom of every methodology statement, 1184 01:05:39,320 --> 01:05:42,440 Speaker 2: they are completely publicly funded. If there is a shortfall 1185 01:05:42,480 --> 01:05:45,240 Speaker 2: on it, we do it, meaning we at Big Data 1186 01:05:45,280 --> 01:05:47,640 Speaker 2: Pole pay for it. So there is no other there 1187 01:05:47,720 --> 01:05:52,520 Speaker 2: is no sponsor, no media, no candidates, no nothing. Because 1188 01:05:52,520 --> 01:05:55,000 Speaker 2: that's really that's the only way I'll have it, brother, 1189 01:05:55,080 --> 01:05:56,440 Speaker 2: and that's the only way I can, you know, do 1190 01:05:56,520 --> 01:05:59,920 Speaker 2: the best work I can do. That's the that's honestly, 1191 01:06:00,480 --> 01:06:04,280 Speaker 2: everyone should do it. But also you know we're on 1192 01:06:04,320 --> 01:06:08,400 Speaker 2: Twitter getter truth. But locals is the best bro it 1193 01:06:08,480 --> 01:06:11,280 Speaker 2: really is sign up on Rumbold the People's Pundent watch 1194 01:06:11,320 --> 01:06:15,800 Speaker 2: inside the numbers, but definitely you know the locals page 1195 01:06:16,080 --> 01:06:19,000 Speaker 2: and the Public Pulling Project, they're really the best places 1196 01:06:19,000 --> 01:06:19,760 Speaker 2: you can support us. 1197 01:06:20,360 --> 01:06:24,000 Speaker 3: Awesome, awesome man, and give give Savage Laura my best 1198 01:06:24,040 --> 01:06:27,280 Speaker 3: of course from over here at Fort Parnell. Man. But 1199 01:06:27,320 --> 01:06:29,560 Speaker 3: thank you for coming on and we'll see you next week. 1200 01:06:29,400 --> 01:06:32,040 Speaker 2: I hope anytime. Brother sees soon. Back to you and 1201 01:06:32,080 --> 01:06:33,320 Speaker 2: yours all right, see you. 1202 01:06:33,400 --> 01:06:37,080 Speaker 3: Rich Okay, well, folks, that's Savage Rich. And also listen, 1203 01:06:37,160 --> 01:06:40,800 Speaker 3: Savage Rich Barris is also going to be on the 1204 01:06:40,800 --> 01:06:44,120 Speaker 3: Wendy Bell Radio program tomorrow, so you're gonna get a 1205 01:06:44,160 --> 01:06:48,360 Speaker 3: double dose of Savage Rich Barris coming at you. So 1206 01:06:48,400 --> 01:06:50,680 Speaker 3: make sure you don't miss the Wendy Bell Radio program, 1207 01:06:50,760 --> 01:06:54,439 Speaker 3: which I know many of you are already getting full 1208 01:06:54,480 --> 01:06:56,840 Speaker 3: three hours of Wendy in Brock in the morning. But 1209 01:06:57,240 --> 01:06:59,680 Speaker 3: Rich Barris, if you needed another reason, Rich Barriss is 1210 01:06:59,680 --> 01:07:02,680 Speaker 3: gonna be there tomorrow as well. Folks, well, that is 1211 01:07:02,880 --> 01:07:08,240 Speaker 3: it another episode with Savage Rich Barris in the books, 1212 01:07:08,360 --> 01:07:11,520 Speaker 3: and you all, I believe, are much smarter for it 1213 01:07:11,560 --> 01:07:14,439 Speaker 3: because I think he's the best. And you know what, folks, listen, 1214 01:07:15,360 --> 01:07:18,360 Speaker 3: we pride ourselves. I know. I try hard to bring 1215 01:07:18,400 --> 01:07:22,520 Speaker 3: you news before everybody else, especially in the five pm hour, 1216 01:07:22,720 --> 01:07:25,320 Speaker 3: right because you know, Wendy Bell is on, She's on 1217 01:07:25,360 --> 01:07:27,440 Speaker 3: the cutting edge of everything. In the morning. The new 1218 01:07:27,560 --> 01:07:31,160 Speaker 3: cycle changes significantly throughout the afternoon. And by the time, 1219 01:07:31,200 --> 01:07:33,040 Speaker 3: you know, Wendy talks about one thing in the morning, 1220 01:07:33,280 --> 01:07:35,640 Speaker 3: I talk about another thing at night. It's vastly different 1221 01:07:35,680 --> 01:07:37,920 Speaker 3: news cycles. But try to get you everything first, just 1222 01:07:37,960 --> 01:07:40,880 Speaker 3: like Wendy does. And I'm real grateful that you all 1223 01:07:40,920 --> 01:07:43,640 Speaker 3: tune in for you know, give me your time every night. 1224 01:07:43,680 --> 01:07:46,600 Speaker 3: Your time is your most valuable asset, and I appreciate 1225 01:07:46,640 --> 01:07:49,000 Speaker 3: you spending a little bit of your time with me. 1226 01:07:49,960 --> 01:07:52,880 Speaker 3: Thank you. This is your show, it always will be. 1227 01:07:53,280 --> 01:07:57,000 Speaker 3: Keep the faith, but don't stop there. Always take action 1228 01:07:57,320 --> 01:07:59,600 Speaker 3: in the fight to save this country. And as always, 1229 01:07:59,600 --> 01:08:01,080 Speaker 3: I'll see you tomorrow night. Have a hell of a 1230 01:08:01,120 --> 01:08:04,120 Speaker 3: show plan for you tomorrow. God bless you all, and 1231 01:08:04,240 --> 01:08:08,480 Speaker 3: God bless this amazing country that we call home. Take 1232 01:08:08,520 --> 01:08:10,600 Speaker 3: care and good night.