1 00:00:00,560 --> 00:00:03,760 Speaker 1: Welcome back in Clay Travis Buck Sexton Show. Appreciate all 2 00:00:03,800 --> 00:00:05,840 Speaker 1: of you hanging out with us. We're rolling through the 3 00:00:05,840 --> 00:00:09,600 Speaker 1: Monday edition of the program. Our thanks to the three 4 00:00:09,640 --> 00:00:12,640 Speaker 1: senators that you heard over the last couple of hours 5 00:00:12,640 --> 00:00:15,840 Speaker 1: of the program, Senator Rick Scott, Senator Marco Rubio, and 6 00:00:15,920 --> 00:00:19,720 Speaker 1: Senator Tom Cotton all urging you to get out and 7 00:00:19,840 --> 00:00:25,599 Speaker 1: vote early. And Buck, we're fifteen days out and I 8 00:00:25,800 --> 00:00:29,960 Speaker 1: just shared with you the morning voting totals that are 9 00:00:30,080 --> 00:00:34,320 Speaker 1: coming from the state of Florida, where Republicans are very 10 00:00:34,479 --> 00:00:39,080 Speaker 1: energized right now and rolling out. And the numbers are 11 00:00:39,280 --> 00:00:44,880 Speaker 1: also looking good in North Carolina, in Georgia, and in Arizona, 12 00:00:45,080 --> 00:00:48,760 Speaker 1: three different states where early voting is underway now. I 13 00:00:48,880 --> 00:00:53,400 Speaker 1: voted early on Friday. My eighty year old father with 14 00:00:53,479 --> 00:00:56,600 Speaker 1: a broken hip. I pushed him in on a wheelchair 15 00:00:56,680 --> 00:00:58,840 Speaker 1: to go vote. Buck, you are going to try to 16 00:00:58,920 --> 00:01:02,240 Speaker 1: vote in Florida as coming able to do so in 17 00:01:02,280 --> 00:01:05,880 Speaker 1: your state. We just want to impress upon you all 18 00:01:06,000 --> 00:01:09,640 Speaker 1: the trend lines are good, but you control the outcome 19 00:01:09,760 --> 00:01:13,280 Speaker 1: of this race. Get out and vote early. Motivate your 20 00:01:13,280 --> 00:01:17,240 Speaker 1: friends and family, assist them if necessary in getting out 21 00:01:17,240 --> 00:01:21,600 Speaker 1: to vote. Once you vote, help others get to the polls. 22 00:01:21,640 --> 00:01:24,120 Speaker 1: There's a lot to be done here, but the trend 23 00:01:24,160 --> 00:01:25,200 Speaker 1: lines are very good. 24 00:01:25,680 --> 00:01:25,920 Speaker 2: Again. 25 00:01:26,000 --> 00:01:31,080 Speaker 1: The Senate races Wisconsin, Pennsylvania, Ohio, and Michigan in the 26 00:01:31,080 --> 00:01:35,240 Speaker 1: big ten states all now direct toss ups. All of 27 00:01:35,280 --> 00:01:39,080 Speaker 1: those senators, Buck are running ads showing that they would 28 00:01:39,160 --> 00:01:42,319 Speaker 1: work with Donald Trump. I would just impress upon you 29 00:01:42,480 --> 00:01:46,360 Speaker 1: all if Kamala Harris were rolling in those states, they 30 00:01:46,400 --> 00:01:49,840 Speaker 1: wouldn't in the Senate campaign be trying to tell people, hey, 31 00:01:50,280 --> 00:01:53,280 Speaker 1: look how well I have worked with Donald Trump. They 32 00:01:53,320 --> 00:01:56,200 Speaker 1: would be saying, we have to kick Trump to the curb. 33 00:01:56,840 --> 00:02:00,200 Speaker 1: We talked about Trump at McDonald's and how funny it 34 00:02:00,320 --> 00:02:03,640 Speaker 1: was and how much it has triggered everybody out there. Buck, 35 00:02:04,600 --> 00:02:06,600 Speaker 1: I just come back on the New York Times, I 36 00:02:06,640 --> 00:02:09,880 Speaker 1: was reading it this morning, has an entire piece saying 37 00:02:09,919 --> 00:02:13,760 Speaker 1: that Trump asking for evidence that Kamala ever worked at 38 00:02:13,840 --> 00:02:20,200 Speaker 1: McDonald's is unacceptable and outside the pale of traditional campaigns. 39 00:02:20,360 --> 00:02:21,799 Speaker 2: And I was talking to you. 40 00:02:21,800 --> 00:02:23,400 Speaker 1: You made a good point because you had the exact 41 00:02:23,440 --> 00:02:27,400 Speaker 1: same point that my wife Laura did. She said, for instance, 42 00:02:27,400 --> 00:02:29,960 Speaker 1: when she was a teenager, she worked waiting tables at 43 00:02:30,000 --> 00:02:31,320 Speaker 1: Max and Irma's. 44 00:02:31,240 --> 00:02:34,240 Speaker 2: When Buck and Laura on the Saint It's. 45 00:02:34,120 --> 00:02:38,800 Speaker 1: Gospel, she said, every job that you had when you 46 00:02:38,800 --> 00:02:41,880 Speaker 1: were a teenager, there is something you did and you 47 00:02:41,960 --> 00:02:44,960 Speaker 1: talked about this as an adult job you had, but 48 00:02:45,280 --> 00:02:48,400 Speaker 1: there is something unique that the person who hasn't had 49 00:02:48,440 --> 00:02:52,440 Speaker 1: that job you would be able to point to and say, boy, 50 00:02:52,880 --> 00:02:56,080 Speaker 1: you know, doing this was really frustrated and annoying. I'll 51 00:02:56,120 --> 00:03:00,240 Speaker 1: give you one Carrie, your wife also had the same job. 52 00:03:00,480 --> 00:03:03,520 Speaker 1: When I had the job at Abercrombie and Fitch Pentagon 53 00:03:03,639 --> 00:03:07,800 Speaker 1: City Mall, the thing that was frustrating to me was 54 00:03:08,200 --> 00:03:11,960 Speaker 1: the folding boards. And there was a specific way that 55 00:03:12,040 --> 00:03:15,200 Speaker 1: you were supposed to fold up the shirts to lay 56 00:03:15,240 --> 00:03:17,800 Speaker 1: out on and the pants to lay out for everybody 57 00:03:17,840 --> 00:03:21,840 Speaker 1: to look at. And when somebody would come through and 58 00:03:22,080 --> 00:03:25,200 Speaker 1: just devastate your folding job, that is they pull up 59 00:03:25,280 --> 00:03:28,440 Speaker 1: like eight different shirts, they unwrap them, they try them on, 60 00:03:28,480 --> 00:03:29,400 Speaker 1: and they just throw. 61 00:03:29,240 --> 00:03:30,560 Speaker 2: It back on top of the table. 62 00:03:31,080 --> 00:03:33,160 Speaker 1: You'd get that folding board and you would be like, 63 00:03:33,240 --> 00:03:34,960 Speaker 1: this is going to be miserable. I've got to make 64 00:03:35,000 --> 00:03:37,160 Speaker 1: sure that I fold this perfectly, otherwise my boss is 65 00:03:37,160 --> 00:03:40,280 Speaker 1: gonna come over. That's something that if you had that job, 66 00:03:40,360 --> 00:03:42,760 Speaker 1: you would not and be like, yeah, that was a 67 00:03:42,800 --> 00:03:45,040 Speaker 1: part of that job. I bet Carrie would would nod 68 00:03:45,040 --> 00:03:47,440 Speaker 1: her head at that part of the job. What has 69 00:03:47,520 --> 00:03:50,760 Speaker 1: kamalas said about McDonald's and the fact that there isn't 70 00:03:50,760 --> 00:03:53,960 Speaker 1: a single witness of a And I'm going to come 71 00:03:54,000 --> 00:03:56,120 Speaker 1: back to it because I think it's important of a 72 00:03:56,320 --> 00:04:00,000 Speaker 1: cute teenage girl that worked at McDonald's. If a girl 73 00:04:00,240 --> 00:04:03,000 Speaker 1: named Kamala who was cute nineteen or so years old 74 00:04:03,160 --> 00:04:06,680 Speaker 1: worked at McDonald's, every teenage boy that worked at that 75 00:04:06,760 --> 00:04:10,640 Speaker 1: McDonald's would have known her because they would remember her. 76 00:04:10,720 --> 00:04:13,720 Speaker 1: Trust me, everybody out there who's a teenage boy right 77 00:04:13,760 --> 00:04:16,120 Speaker 1: now and had a teenage boy job remembers there being 78 00:04:16,160 --> 00:04:18,840 Speaker 1: cute girls that had jobs where you worked. I've said 79 00:04:18,880 --> 00:04:21,760 Speaker 1: before Buck American Eagle Outfitters was one of the most 80 00:04:21,800 --> 00:04:25,240 Speaker 1: fun jobs I ever had. Of Abercrombie, same way because 81 00:04:25,279 --> 00:04:28,160 Speaker 1: pretty girls walked into that store and you had an 82 00:04:28,200 --> 00:04:31,120 Speaker 1: excuse to walk right up and talk to them without 83 00:04:31,200 --> 00:04:33,640 Speaker 1: seeming like you were hitting on them while getting to 84 00:04:33,720 --> 00:04:36,320 Speaker 1: hit on them. Not much better of a job than 85 00:04:36,360 --> 00:04:39,839 Speaker 1: that when you're a teenage boy. And I'm just telling you, 86 00:04:39,880 --> 00:04:41,880 Speaker 1: if Kamala had worked at any of the stores I 87 00:04:41,920 --> 00:04:42,320 Speaker 1: worked at. 88 00:04:42,360 --> 00:04:44,960 Speaker 2: I would remember if she was around my age. 89 00:04:44,960 --> 00:04:48,240 Speaker 1: She was cute, she worked there, no witnesses, This story 90 00:04:48,279 --> 00:04:48,920 Speaker 1: doesn't add up. 91 00:04:49,960 --> 00:04:52,479 Speaker 2: Also, I'm just gonna say it, I think both of 92 00:04:52,520 --> 00:04:56,880 Speaker 2: her parents were PhDs, right, They were you know, university 93 00:04:57,640 --> 00:05:02,280 Speaker 2: university employees. I'm not sure that Kamala Harris would would 94 00:05:02,320 --> 00:05:05,000 Speaker 2: rush to be working out a McDonald's. I'm not I'm 95 00:05:05,040 --> 00:05:06,839 Speaker 2: not sure that it all adds up, is what I'm saying. 96 00:05:06,880 --> 00:05:09,680 Speaker 2: I don't know that the action of it, well, but 97 00:05:09,720 --> 00:05:12,720 Speaker 2: this is what I mean. It's not like it's not 98 00:05:12,760 --> 00:05:16,760 Speaker 2: like I would guess that Kamala Harris given her parents 99 00:05:16,920 --> 00:05:21,160 Speaker 2: her socioeconomic status growing up. You know, McDonald's has given 100 00:05:21,160 --> 00:05:24,880 Speaker 2: employment to millions of Americans over many years. I'm just 101 00:05:24,880 --> 00:05:27,440 Speaker 2: saying it doesn't ring true to me necessarily that Kamala 102 00:05:27,480 --> 00:05:29,720 Speaker 2: Harris would have worked there. Maybe she did, I don't know. 103 00:05:30,680 --> 00:05:33,200 Speaker 2: I also, Clay, you know, wanted to point out, as 104 00:05:33,240 --> 00:05:36,880 Speaker 2: we're getting in the last days here, before we know 105 00:05:37,080 --> 00:05:41,200 Speaker 2: whether Trump is in fact and Republicans are in fact 106 00:05:41,279 --> 00:05:45,000 Speaker 2: the victors and all this, you have the Elon factor. 107 00:05:45,320 --> 00:05:50,200 Speaker 2: Elon out there with Donald Trump totally red pilled totally 108 00:05:50,240 --> 00:05:53,680 Speaker 2: pushing for Donald Trump to win. I mean, here he is, 109 00:05:53,720 --> 00:05:57,240 Speaker 2: this is this is cut to Elon views this as 110 00:05:57,240 --> 00:05:59,040 Speaker 2: existential for that. I mean, this is the richest man 111 00:05:59,080 --> 00:06:02,120 Speaker 2: in the world, the most important entrepreneur in the world, 112 00:06:02,160 --> 00:06:04,960 Speaker 2: on the planet, and he's saying that is at a 113 00:06:04,960 --> 00:06:07,240 Speaker 2: pretty smart guy. I even the Libs who hate him 114 00:06:07,279 --> 00:06:10,760 Speaker 2: have to admit, very smart guy. He's saying that he 115 00:06:10,800 --> 00:06:13,680 Speaker 2: felt no choice but to get involved in politics, and 116 00:06:13,720 --> 00:06:16,200 Speaker 2: he thinks that the future of a free America and 117 00:06:16,240 --> 00:06:18,320 Speaker 2: the whole free world is at stake play too. 118 00:06:18,520 --> 00:06:21,000 Speaker 3: I really would prefer not to be in politics at all. 119 00:06:22,360 --> 00:06:27,840 Speaker 3: And the reason that I have stepped into the political 120 00:06:27,839 --> 00:06:30,320 Speaker 3: arena this time is because I think the stakes are 121 00:06:30,440 --> 00:06:33,359 Speaker 3: extremely fundamental. I think democracy is on the line. I 122 00:06:33,400 --> 00:06:37,560 Speaker 3: think the constitutions on the line, and I fear that 123 00:06:38,320 --> 00:06:41,760 Speaker 3: if Trump does not want we're gonna be you know, 124 00:06:42,240 --> 00:06:44,640 Speaker 3: we're gonna have a single party state. It's going to 125 00:06:44,720 --> 00:06:48,520 Speaker 3: be like California a bit, but actually worse than California, 126 00:06:48,800 --> 00:06:52,680 Speaker 3: because the one thing that keeps California from going even 127 00:06:52,720 --> 00:06:55,080 Speaker 3: further than they do go is that people can move 128 00:06:55,080 --> 00:06:56,200 Speaker 3: out of California and still. 129 00:06:56,000 --> 00:06:56,600 Speaker 2: Be in America. 130 00:06:57,000 --> 00:06:59,760 Speaker 3: But if you've got no place to move, then it's 131 00:06:59,760 --> 00:07:02,200 Speaker 3: gonna to be much less in California. 132 00:07:02,839 --> 00:07:05,200 Speaker 2: And you know, Clay, when you look at the numbers 133 00:07:05,480 --> 00:07:10,360 Speaker 2: of migrants illegals who are in swing states, and I 134 00:07:10,440 --> 00:07:13,760 Speaker 2: know that they can't vote yet, but the plan is 135 00:07:13,800 --> 00:07:16,320 Speaker 2: to have them voting down the line. The plan is 136 00:07:16,360 --> 00:07:20,080 Speaker 2: to change the electorate. This is very obvious. Democrats they 137 00:07:20,120 --> 00:07:22,040 Speaker 2: talk about it and then when we bring it up, say, 138 00:07:22,040 --> 00:07:26,000 Speaker 2: how dare you talk about it? I think that Donald 139 00:07:26,000 --> 00:07:29,720 Speaker 2: Trump winning and following through on his promise to I mean, 140 00:07:29,760 --> 00:07:32,560 Speaker 2: secure the border means stop people who are coming here illegally, 141 00:07:33,000 --> 00:07:36,200 Speaker 2: send people back who come here illegally, and deport people, 142 00:07:36,320 --> 00:07:40,040 Speaker 2: starting with anyone who has committed any kind of additional crime, 143 00:07:40,080 --> 00:07:42,600 Speaker 2: and then work your way down the list. You need 144 00:07:42,640 --> 00:07:45,520 Speaker 2: to have a massive increase in deportations or else. I 145 00:07:45,520 --> 00:07:48,520 Speaker 2: think the numbers and the demographic data tells you we 146 00:07:48,600 --> 00:07:51,960 Speaker 2: are heading toward a one party state. So I think, well, 147 00:07:52,040 --> 00:07:54,360 Speaker 2: Democrats are pretending that Trump is Hitler, and you know, 148 00:07:54,400 --> 00:07:57,160 Speaker 2: it's the end of America if he wins. That's crazy. 149 00:07:58,000 --> 00:07:59,600 Speaker 2: I don't know if I can tell anyone that it's 150 00:07:59,600 --> 00:08:02,080 Speaker 2: crazy that if Democrats find a way to continue to have. 151 00:08:02,200 --> 00:08:04,720 Speaker 2: I mean, if they bring ten million more illegals into 152 00:08:04,720 --> 00:08:06,960 Speaker 2: the country, we're going to be dependent on the large 153 00:08:07,080 --> 00:08:09,720 Speaker 2: s of the state, i e. The welfare state, who 154 00:08:09,760 --> 00:08:12,000 Speaker 2: are going to find the Democrat Party to be more 155 00:08:12,000 --> 00:08:15,320 Speaker 2: amenable to their interests because they're selling out America in 156 00:08:15,440 --> 00:08:19,600 Speaker 2: order to get votes of non Americans. I do think 157 00:08:19,600 --> 00:08:22,000 Speaker 2: that the threat of a one party state becomes much 158 00:08:22,040 --> 00:08:24,720 Speaker 2: more real. Elon sees it too. Buck. 159 00:08:25,000 --> 00:08:27,560 Speaker 1: You asked the I think it was Marco Rubio. What 160 00:08:27,800 --> 00:08:32,640 Speaker 1: if Democrats lose the Senate and Republicans win the House 161 00:08:32,720 --> 00:08:35,679 Speaker 1: and Senate and Trump is in office, what's the first priority. 162 00:08:36,040 --> 00:08:37,640 Speaker 1: I'll give you one that I'm not hearing a lot 163 00:08:37,679 --> 00:08:40,480 Speaker 1: of people talk about your point on all of the 164 00:08:40,520 --> 00:08:44,360 Speaker 1: illegal immigrants. I think it deserves way more attention that 165 00:08:44,520 --> 00:08:49,640 Speaker 1: illegal immigrants count for purposes of the census, which is 166 00:08:49,760 --> 00:08:53,600 Speaker 1: adding ten to twenty House seats to Democrats already. 167 00:08:54,080 --> 00:08:56,840 Speaker 2: I didn't know that. I think it's pretty radical. 168 00:08:56,840 --> 00:09:00,480 Speaker 1: Again, when they are flooding the zone with all of 169 00:09:00,480 --> 00:09:04,360 Speaker 1: these illegal immigrants, they are counting them even though they 170 00:09:04,360 --> 00:09:09,040 Speaker 1: can't vote for purposes of the census populations, which distribute 171 00:09:09,080 --> 00:09:12,640 Speaker 1: where house districts are. To me, if you're not a 172 00:09:12,800 --> 00:09:16,960 Speaker 1: legal citizen of the United States and you can't vote, 173 00:09:17,440 --> 00:09:21,520 Speaker 1: you shouldn't count for purposes of the census in House 174 00:09:21,640 --> 00:09:25,400 Speaker 1: districting either. I would submit that this is a very 175 00:09:25,520 --> 00:09:29,880 Speaker 1: valid bill that Republicans should try to pass. I also 176 00:09:29,920 --> 00:09:32,880 Speaker 1: think it's an intriguing question, honestly, for the Supreme Court 177 00:09:32,920 --> 00:09:38,840 Speaker 1: to consider should illegal immigrants count for purposes of House 178 00:09:39,120 --> 00:09:43,000 Speaker 1: seat allocation? It sounds complicated, but basically the way that 179 00:09:43,040 --> 00:09:46,160 Speaker 1: this goes is when you are, let's say in Chicago. 180 00:09:47,080 --> 00:09:50,280 Speaker 1: If Chicago has one hundred thousand illegal immigrants, and they 181 00:09:50,280 --> 00:09:51,880 Speaker 1: may probably have more than that, but let's just say 182 00:09:51,880 --> 00:09:55,640 Speaker 1: they have one hundred thousand, that counts for purposes of 183 00:09:55,920 --> 00:09:59,679 Speaker 1: House seating. So the average district and the crew in 184 00:09:59,720 --> 00:10:01,360 Speaker 1: New York or can correct me if I'm wrong. I 185 00:10:01,360 --> 00:10:05,640 Speaker 1: think it's like seven hundred and twenty five thousand representatives. 186 00:10:06,120 --> 00:10:09,480 Speaker 1: Every representative district is about seven hundred and twenty five 187 00:10:09,520 --> 00:10:13,960 Speaker 1: seven hundred and fifty thousand individual citizens or non citizens. 188 00:10:14,360 --> 00:10:18,480 Speaker 1: How about only citizens count for House district apportionment. That 189 00:10:18,520 --> 00:10:23,240 Speaker 1: seems like a really significant case that Republicans should take up, 190 00:10:23,240 --> 00:10:25,560 Speaker 1: and I would like to hear the Supreme Court answer 191 00:10:25,600 --> 00:10:29,920 Speaker 1: the question. Should non citizens count for purposes of House 192 00:10:30,160 --> 00:10:33,880 Speaker 1: seat allocation. It seems to me that they shouldn't because 193 00:10:33,960 --> 00:10:38,559 Speaker 1: they're not residents and able to vote. Why should they 194 00:10:38,760 --> 00:10:40,960 Speaker 1: be tallied in a way that would add ten or 195 00:10:41,000 --> 00:10:45,080 Speaker 1: twenty seats to Democrat margins. That seems like a really 196 00:10:45,080 --> 00:10:45,840 Speaker 1: big story to me. 197 00:10:47,080 --> 00:10:49,400 Speaker 2: I think it's a huge story. I also think that 198 00:10:49,480 --> 00:10:52,240 Speaker 2: some of the stuff that Elon was talking about over 199 00:10:52,240 --> 00:10:55,400 Speaker 2: the weekend. Look, Donald Trump has spoken of Elon as 200 00:10:55,400 --> 00:10:58,319 Speaker 2: a possible efficiencies are I know everyone might think we're 201 00:10:58,320 --> 00:11:01,120 Speaker 2: not everyone, but people might think, hold on a second. 202 00:11:01,400 --> 00:11:04,840 Speaker 2: Elon's running all these different companies and really he's found 203 00:11:04,880 --> 00:11:07,840 Speaker 2: he's the founder and more like a chairman, you know, 204 00:11:08,880 --> 00:11:12,440 Speaker 2: calling in shots from afar. But he's not necessarily running 205 00:11:12,440 --> 00:11:14,680 Speaker 2: the CEO day to day of these companies. But he's 206 00:11:14,679 --> 00:11:16,520 Speaker 2: a very busy guy. Is the point. How could he 207 00:11:16,600 --> 00:11:19,520 Speaker 2: do this well? Actually, the point is that Elon Musk 208 00:11:19,640 --> 00:11:24,560 Speaker 2: is incredible at efficiency and team building for the purposes 209 00:11:24,600 --> 00:11:27,800 Speaker 2: of efficiency. What I mean is if Donald Trump actually 210 00:11:27,840 --> 00:11:32,079 Speaker 2: brings him in as a as a person to cut 211 00:11:32,120 --> 00:11:35,160 Speaker 2: the government down to size, to look at all the waste, 212 00:11:35,160 --> 00:11:38,720 Speaker 2: fraud and abuse, have a team of real you know, 213 00:11:39,200 --> 00:11:43,960 Speaker 2: top minds doing this. It could dramatically change the spending 214 00:11:44,040 --> 00:11:46,520 Speaker 2: problem that we have, I think, or at least begin 215 00:11:46,600 --> 00:11:49,040 Speaker 2: to address the spending problem we have in government and 216 00:11:49,160 --> 00:11:53,040 Speaker 2: also the regulatory issues that are choking so many businesses. 217 00:11:53,040 --> 00:11:56,840 Speaker 2: We've just gotten used to idiot government policy making things harder. 218 00:11:56,960 --> 00:11:58,840 Speaker 2: Did you hear him Klay talking about this? Think about 219 00:11:58,840 --> 00:12:02,520 Speaker 2: this for a moment, everybody. They made SpaceX, which is 220 00:12:02,559 --> 00:12:05,760 Speaker 2: better at putting rockets into space than any sovereign government, 221 00:12:05,800 --> 00:12:09,840 Speaker 2: including our own on the planet. They made SpaceX spend 222 00:12:09,880 --> 00:12:13,640 Speaker 2: time and money to do a study to make sure 223 00:12:14,520 --> 00:12:18,920 Speaker 2: that a rocket coming down in the ocean wouldn't kill 224 00:12:18,960 --> 00:12:22,520 Speaker 2: a shark. Okay, it's a big ocean and there are 225 00:12:22,520 --> 00:12:24,760 Speaker 2: a lot of sharks in it. But they were worried, 226 00:12:25,040 --> 00:12:27,760 Speaker 2: what if your rocket comes down in the water and 227 00:12:27,960 --> 00:12:32,000 Speaker 2: hits a shark and mister Sharky is no more play one. 228 00:12:32,040 --> 00:12:33,400 Speaker 2: Here's Elon talking about it. 229 00:12:33,520 --> 00:12:37,199 Speaker 3: SpaceX have to do the study to see if starship 230 00:12:37,240 --> 00:12:42,760 Speaker 3: would hit a shark. And I'm like, it's a big ocean, 231 00:12:42,800 --> 00:12:48,160 Speaker 3: you know, there's a lot of sharks. It's not impossible, 232 00:12:48,200 --> 00:12:52,120 Speaker 3: but it's very unlikely. But they wouldn't let us proceed 233 00:12:52,160 --> 00:12:54,400 Speaker 3: with launch until we did this crazy shark data and 234 00:12:55,120 --> 00:12:56,720 Speaker 3: then we saw okay, now we're done, and they said, 235 00:12:56,720 --> 00:13:01,360 Speaker 3: but what about whales. I'm like, and honestly, if the 236 00:13:01,360 --> 00:13:03,320 Speaker 3: ship did hit a whale, it's like, honestly, that well 237 00:13:03,320 --> 00:13:06,880 Speaker 3: had a coming because it's like the odds are so low, 238 00:13:09,480 --> 00:13:14,160 Speaker 3: you know, it's like like Final Destination, the Whale Edition. 239 00:13:15,520 --> 00:13:19,760 Speaker 3: It's like Fate had it in for that whale. 240 00:13:19,920 --> 00:13:23,160 Speaker 2: It's hilarious, but it also shows you the insanity of 241 00:13:23,200 --> 00:13:26,160 Speaker 2: government regulation. I mean, this guy has built a space 242 00:13:26,320 --> 00:13:29,720 Speaker 2: economy where it did not exist before, and they're holding 243 00:13:29,760 --> 00:13:33,440 Speaker 2: them up with what if your launcher hits a whale, 244 00:13:33,480 --> 00:13:34,760 Speaker 2: it's one in a billion. 245 00:13:36,120 --> 00:13:40,520 Speaker 1: This is my big thing on capitalism in general. Most 246 00:13:40,520 --> 00:13:44,319 Speaker 1: people who work in the government are anti job creation 247 00:13:44,720 --> 00:13:49,240 Speaker 1: and anti risk taking and anti success. That's why they 248 00:13:49,240 --> 00:13:51,360 Speaker 1: have government jobs in the first place, because they want 249 00:13:51,360 --> 00:13:54,440 Speaker 1: to guaranteed salary as opposed to going out and actually 250 00:13:54,440 --> 00:13:57,359 Speaker 1: making a salary for themselves by taking risk in the marketplace. 251 00:13:57,920 --> 00:14:01,720 Speaker 1: We have to, regardless of what you about Elon Musk, 252 00:14:02,160 --> 00:14:06,080 Speaker 1: we have to allow brilliant people the space to create 253 00:14:06,120 --> 00:14:10,559 Speaker 1: their brilliance in the United States, and I mean, look, 254 00:14:11,240 --> 00:14:14,600 Speaker 1: hitting sharks or hitting whales. It's really funny the way 255 00:14:14,679 --> 00:14:17,480 Speaker 1: Elon addressed it. But that is the kind of red 256 00:14:17,520 --> 00:14:19,560 Speaker 1: tape that many of you out there who have started 257 00:14:19,600 --> 00:14:22,760 Speaker 1: small businesses have had to deal with the morons in 258 00:14:22,840 --> 00:14:25,440 Speaker 1: government making it more difficult for you to create more 259 00:14:25,520 --> 00:14:28,200 Speaker 1: jobs and more growth and more expansion and. 260 00:14:28,160 --> 00:14:30,640 Speaker 2: We'll come back out. He had, I think a maybe 261 00:14:30,760 --> 00:14:36,880 Speaker 2: even crazier version of this environmentalist panic over the falling 262 00:14:36,960 --> 00:14:39,960 Speaker 2: rocket into the ocean. I mean, and also to understand 263 00:14:40,040 --> 00:14:43,360 Speaker 2: the size of the oceans is I mean, I sound 264 00:14:43,400 --> 00:14:46,640 Speaker 2: like Kamala. The size of the oceans is so amazing, 265 00:14:47,000 --> 00:14:51,200 Speaker 2: but the oceans are are freaking huge. Okay. The idea 266 00:14:51,520 --> 00:14:54,000 Speaker 2: that the one rocket is gonna come down and it's 267 00:14:54,040 --> 00:14:56,000 Speaker 2: gonna kill a whale, oh man. 268 00:14:55,840 --> 00:14:57,760 Speaker 1: Well, I mean just think about it in your own life. 269 00:14:57,800 --> 00:14:59,600 Speaker 1: How often do you see a whale or a shark 270 00:14:59,600 --> 00:15:00,640 Speaker 1: when you're on the ocean? 271 00:15:01,320 --> 00:15:05,320 Speaker 2: Very rare, rare? Right? Yeah, yeah, Look, let's talk about 272 00:15:05,320 --> 00:15:07,640 Speaker 2: something really positive here for a second, and that's the 273 00:15:07,680 --> 00:15:10,160 Speaker 2: work that the Preborn Network of Clinics are doing day 274 00:15:10,200 --> 00:15:12,680 Speaker 2: in and day out. These are women and men protecting 275 00:15:12,680 --> 00:15:15,000 Speaker 2: the life of unborn children. They've saved the lives of 276 00:15:15,080 --> 00:15:18,520 Speaker 2: three hundred thousand babies over the past two decades. Preborn 277 00:15:18,600 --> 00:15:22,840 Speaker 2: operates these clinics nationwide. Now, they're not as noticeable as 278 00:15:22,880 --> 00:15:25,480 Speaker 2: the planned parenthood clinics, nor are they supported by federal 279 00:15:25,520 --> 00:15:28,840 Speaker 2: government funds and the whole abortion apparatus. Like those planned 280 00:15:28,880 --> 00:15:32,840 Speaker 2: parenthood clinics, it is you, the pro life community who 281 00:15:32,920 --> 00:15:36,960 Speaker 2: step up, who give money and save lives through Preborn's 282 00:15:37,360 --> 00:15:41,400 Speaker 2: godly work day in and day out. They often start 283 00:15:41,480 --> 00:15:44,800 Speaker 2: with the ultrasound. That's really the beginning of this process 284 00:15:45,160 --> 00:15:47,880 Speaker 2: of helping this mother to be in a crisis pregnancy 285 00:15:48,040 --> 00:15:51,280 Speaker 2: understand that she has a tiny life in her womb, 286 00:15:51,720 --> 00:15:53,880 Speaker 2: and once she is bonded to that baby through the 287 00:15:53,960 --> 00:15:58,040 Speaker 2: ultrasound process, so often the choice is made for life, 288 00:15:58,120 --> 00:16:00,480 Speaker 2: and then Preborn supports that mother n not just up 289 00:16:00,560 --> 00:16:03,360 Speaker 2: until the day the baby's born, but for two years 290 00:16:03,360 --> 00:16:07,000 Speaker 2: after that. This ultrasound, though, costs Preborn twenty eight dollars. 291 00:16:07,320 --> 00:16:09,680 Speaker 2: If you can donate that amount, you could save a 292 00:16:09,760 --> 00:16:12,720 Speaker 2: tiny baby's life today. If you can donate five times 293 00:16:12,760 --> 00:16:15,320 Speaker 2: that amount, one hundred and forty dollars, you'd be contributing 294 00:16:15,320 --> 00:16:19,560 Speaker 2: to saving the lives of perhaps five tiny babies. Using 295 00:16:19,600 --> 00:16:23,040 Speaker 2: your cell phone dial pound two five zero and say baby. 296 00:16:23,360 --> 00:16:26,720 Speaker 2: That's pound two five zero, Say baby. Or go online 297 00:16:26,760 --> 00:16:30,480 Speaker 2: to preborn dot com, slash Buck, Preborn dot com slash 298 00:16:30,600 --> 00:16:33,840 Speaker 2: b u c K sponsored by Preborn. 299 00:16:34,560 --> 00:16:37,920 Speaker 4: Learn, laugh, and join us on the weekend on our 300 00:16:38,080 --> 00:16:39,760 Speaker 4: Sunday Hang with Clay. 301 00:16:39,480 --> 00:16:42,320 Speaker 1: And Buck podcast, Fight It on the iHeart app or 302 00:16:42,400 --> 00:16:44,040 Speaker 1: wherever you get your podcasts. 303 00:16:44,080 --> 00:16:46,040 Speaker 2: All right, welcome back into Clay and Buck. Coming up 304 00:16:46,040 --> 00:16:50,600 Speaker 2: here momentarily, our friend Sean Parnell Army, veteran host of 305 00:16:50,640 --> 00:16:55,000 Speaker 2: the Battleground podcast, aptly named as he is a man 306 00:16:55,040 --> 00:16:59,000 Speaker 2: of Pennsylvania, born and raised and knows what's going on 307 00:16:59,080 --> 00:17:01,880 Speaker 2: in that state quite well well. But also he was 308 00:17:02,280 --> 00:17:07,160 Speaker 2: at the sports ball game last night, the football game, 309 00:17:07,480 --> 00:17:09,840 Speaker 2: and we got an email in from Lamar, one of 310 00:17:09,880 --> 00:17:13,280 Speaker 2: our VIPs. He writes, Hey, guys, I was at the 311 00:17:13,280 --> 00:17:15,560 Speaker 2: Steelers game Sunday night. Was privileged to be able to 312 00:17:15,560 --> 00:17:19,560 Speaker 2: sit pretty much right below Trump's suite. I've seen several fake, 313 00:17:19,640 --> 00:17:21,760 Speaker 2: biased news reports saying he was booed at the game, 314 00:17:21,800 --> 00:17:25,199 Speaker 2: that he tried to steal the Navy seals. Usays, I 315 00:17:25,280 --> 00:17:27,960 Speaker 2: have to tell you I didn't hear one boo, but 316 00:17:28,080 --> 00:17:30,360 Speaker 2: plenty of USA I think it would be a good 317 00:17:30,400 --> 00:17:32,040 Speaker 2: idea for you guys to make mention of this on 318 00:17:32,080 --> 00:17:35,119 Speaker 2: your show. Play well. Here from Sean, he was in 319 00:17:35,200 --> 00:17:37,879 Speaker 2: the box with Trump. Here from him first hand perspective 320 00:17:37,880 --> 00:17:40,280 Speaker 2: of how that went and also how it's looking in Pennsylvania. 321 00:17:40,720 --> 00:17:43,680 Speaker 1: Yeah, I thought it looked fantastic and I saw the results. 322 00:17:43,880 --> 00:17:45,960 Speaker 1: Steelers got a big win over the Jets. So Sean 323 00:17:46,040 --> 00:17:49,080 Speaker 1: Parnell should be happy things looking up in Pennsylvania. Will 324 00:17:49,119 --> 00:17:51,560 Speaker 1: get the absolute latest from him from that battleground that 325 00:17:51,600 --> 00:17:55,919 Speaker 1: may well decide who wins the election. I pay attention 326 00:17:56,040 --> 00:17:59,000 Speaker 1: to our nation's nation's finances in the court of each 327 00:17:59,119 --> 00:18:00,800 Speaker 1: day that I'm here to talk into all of you. 328 00:18:01,200 --> 00:18:03,760 Speaker 1: And there's a warning from a Wall Street legend that 329 00:18:03,840 --> 00:18:06,480 Speaker 1: you need to know about. This legend thinks November eighth 330 00:18:06,480 --> 00:18:09,359 Speaker 1: will open the biggest rapid fire money making opportunity of 331 00:18:09,400 --> 00:18:12,280 Speaker 1: his fifty year career. In short, a disconnect in the 332 00:18:12,320 --> 00:18:15,119 Speaker 1: stock market has opened a way to spot potential buying 333 00:18:15,160 --> 00:18:18,840 Speaker 1: spreese on five thousand different stocks before they occur, and 334 00:18:18,920 --> 00:18:20,960 Speaker 1: he says it could double your portfolio. 335 00:18:21,320 --> 00:18:23,960 Speaker 2: I wouldn't doubt this guy. He is a guy who 336 00:18:24,000 --> 00:18:26,480 Speaker 2: recommended an AI stock ten years ago, which would have 337 00:18:26,520 --> 00:18:29,080 Speaker 2: made you thirty two thousand percent if you'd bought in Hell. 338 00:18:29,560 --> 00:18:32,080 Speaker 2: He famously invented an indicator back in the eighties that 339 00:18:32,160 --> 00:18:34,920 Speaker 2: helped direct billions of dollars on Wall Street every day. 340 00:18:35,280 --> 00:18:38,200 Speaker 2: Now he's sharing a completely new way of handling your money. 341 00:18:38,520 --> 00:18:41,480 Speaker 2: Go to stocks twenty twenty five dot com for details 342 00:18:41,760 --> 00:18:44,760 Speaker 2: on how his strange new discovery could double your portfolio 343 00:18:44,800 --> 00:18:46,960 Speaker 2: over the next year. He's agreed to share it with you. 344 00:18:47,520 --> 00:18:51,040 Speaker 2: That website is stocks twenty twenty five dot com. That's 345 00:18:51,119 --> 00:18:53,520 Speaker 2: stocks twenty twenty five dot com. 346 00:18:53,960 --> 00:18:58,440 Speaker 1: Welcome back in Clay Travis buck Sexton show, the Pittsburgh 347 00:18:58,520 --> 00:19:02,680 Speaker 1: Steelers rolled out Russell Wilson in front of Donald Trump, 348 00:19:02,720 --> 00:19:05,080 Speaker 1: and Russell Wilson had a whale of a game. They 349 00:19:05,119 --> 00:19:07,720 Speaker 1: actually looked like they had an offense excited about that 350 00:19:07,880 --> 00:19:10,720 Speaker 1: is Steeler fans Sean Parnell, who also hung out with 351 00:19:10,800 --> 00:19:14,119 Speaker 1: Donald Trump in the stadium on Sunday night, And I 352 00:19:14,160 --> 00:19:15,320 Speaker 1: want to start with this, Sean. 353 00:19:16,600 --> 00:19:18,520 Speaker 2: They show Taylor Swift. 354 00:19:18,680 --> 00:19:22,600 Speaker 1: Like every it feels like five minutes whenever she's in 355 00:19:22,640 --> 00:19:25,600 Speaker 1: the stands for a game. One of our writers at 356 00:19:25,600 --> 00:19:28,680 Speaker 1: out Kick, Bobby Barak, pointed out that they showed Trump 357 00:19:28,800 --> 00:19:32,560 Speaker 1: for a total on the NBC Sunday Night football broadcast 358 00:19:32,640 --> 00:19:35,720 Speaker 1: last night between the Jets and the Steelers, four seconds 359 00:19:36,200 --> 00:19:40,760 Speaker 1: four seconds of airtime, which is just perfect. They didn't 360 00:19:40,760 --> 00:19:43,679 Speaker 1: even want to acknowledge that he was there. But what 361 00:19:43,880 --> 00:19:48,000 Speaker 1: did you see from the reaction of Steeler fans? And 362 00:19:48,200 --> 00:19:51,280 Speaker 1: how do you think football fans in general are responding 363 00:19:51,280 --> 00:19:53,679 Speaker 1: to Trump? I was with him at Georgia Alabama. I 364 00:19:53,720 --> 00:19:57,080 Speaker 1: know it was basically like you know, a concert, and 365 00:19:57,160 --> 00:19:59,800 Speaker 1: he was the star attraction. It was amazing. How positive 366 00:20:00,200 --> 00:20:04,199 Speaker 1: was what did you see inside of Pittsburgh Steelers Stadium 367 00:20:04,280 --> 00:20:04,680 Speaker 1: last night? 368 00:20:05,680 --> 00:20:07,720 Speaker 4: Well, first of all, Clay, I just like to say 369 00:20:07,760 --> 00:20:11,160 Speaker 4: how right I was that Russell Wilson should be the 370 00:20:11,240 --> 00:20:12,800 Speaker 4: starter on the Steelers. 371 00:20:12,840 --> 00:20:14,760 Speaker 2: I was very you sent the very very. 372 00:20:16,640 --> 00:20:20,440 Speaker 4: Very clear. But listen, I was kind of shocked last 373 00:20:20,480 --> 00:20:21,840 Speaker 4: night because I was in the booth that was a 374 00:20:21,880 --> 00:20:24,880 Speaker 4: part of all of it. Trump shows up at this 375 00:20:25,400 --> 00:20:27,840 Speaker 4: at the game, and and like you said with with 376 00:20:27,920 --> 00:20:31,920 Speaker 4: Georgia Alabama, he shows up. He's like the feature attraction 377 00:20:32,119 --> 00:20:35,080 Speaker 4: at a rock concert. And he he walks up to 378 00:20:35,240 --> 00:20:37,720 Speaker 4: the to like you know, they have these and those boosts. 379 00:20:37,720 --> 00:20:39,920 Speaker 4: You walk down a couple steps and the crowds out there. 380 00:20:40,160 --> 00:20:46,359 Speaker 4: It crowd just goes absolutely insane. And to to Lamar, 381 00:20:46,520 --> 00:20:50,159 Speaker 4: you're you're great VIP member, He's exactly right. There wasn't 382 00:20:50,200 --> 00:20:53,360 Speaker 4: a single boo in that entire place. In fact, it 383 00:20:53,400 --> 00:20:56,400 Speaker 4: was like the crowd was as loud as they typically 384 00:20:56,440 --> 00:20:58,600 Speaker 4: are during Renegade. Of course they played Renegade at the 385 00:20:58,640 --> 00:21:01,480 Speaker 4: start of the third quarter every Steeler game. People were 386 00:21:01,840 --> 00:21:04,920 Speaker 4: at the top of their lungs chanting USA. They were, 387 00:21:05,040 --> 00:21:08,199 Speaker 4: you know, twirling terrible towels. It was crazy. And I 388 00:21:08,240 --> 00:21:10,919 Speaker 4: was at the game, so I wasn't really tracking, you know, 389 00:21:11,000 --> 00:21:13,720 Speaker 4: how NBC was showing and what they were showing. I 390 00:21:13,840 --> 00:21:17,760 Speaker 4: just assumed that of course they would want to show 391 00:21:17,840 --> 00:21:21,680 Speaker 4: that what was a very powerful moment in the stadium. 392 00:21:21,720 --> 00:21:22,959 Speaker 4: And then I got to thinking when I come home, 393 00:21:23,000 --> 00:21:24,840 Speaker 4: people were texting me left and right saying, I can't 394 00:21:24,880 --> 00:21:27,720 Speaker 4: believe that NBC didn't show any of it, hardly any 395 00:21:27,760 --> 00:21:32,000 Speaker 4: of it. And you know, Democrat or Republican, you know, 396 00:21:32,160 --> 00:21:35,840 Speaker 4: college football or NFL football, you would think that having 397 00:21:35,880 --> 00:21:40,640 Speaker 4: a president, former president, or potential future president at your 398 00:21:40,720 --> 00:21:44,200 Speaker 4: game would be an unbelievable honor. And to your point, Clay, 399 00:21:44,280 --> 00:21:47,479 Speaker 4: like you said every ten seconds were getting Taylor Swift. 400 00:21:47,760 --> 00:21:50,800 Speaker 4: And you know, if Kamala is up in that booth, 401 00:21:50,800 --> 00:21:53,040 Speaker 4: they'd have you know, she'd be up there cackling the 402 00:21:53,080 --> 00:21:55,520 Speaker 4: whole time. She would be on NBC, much to the 403 00:21:55,640 --> 00:21:57,840 Speaker 4: chagrin of all of America. But you know, there's two 404 00:21:57,840 --> 00:22:01,600 Speaker 4: different standards here, and to me, it's it's just shameful. 405 00:22:01,680 --> 00:22:04,000 Speaker 4: It's just shameful. I hated that it had to happen 406 00:22:04,040 --> 00:22:04,360 Speaker 4: that way. 407 00:22:05,359 --> 00:22:07,480 Speaker 2: Sean. Good to have you as always my friend, and 408 00:22:07,520 --> 00:22:11,159 Speaker 2: I just remind everybody. Shawan's Battleground podcast available on the 409 00:22:11,200 --> 00:22:13,880 Speaker 2: Clay and Buck Network. Subscribe to The Clan Buck Show 410 00:22:13,880 --> 00:22:15,560 Speaker 2: on the iHeart app or wherever you get your podcast. 411 00:22:15,640 --> 00:22:18,520 Speaker 2: You can listen to Sean's Battleground Show. You can also 412 00:22:18,560 --> 00:22:23,320 Speaker 2: watch video of it. It's a great, great show, great program. Sean. 413 00:22:23,840 --> 00:22:27,400 Speaker 2: Take us into Battlefield, Pennsylvania right now. I mean, Florida's 414 00:22:27,480 --> 00:22:31,320 Speaker 2: joined today in the mix of places with early voting underway, 415 00:22:31,400 --> 00:22:33,240 Speaker 2: So I've got to get out there now and get 416 00:22:33,280 --> 00:22:35,720 Speaker 2: my vote in asap. I can't tell everybody else to 417 00:22:35,720 --> 00:22:37,000 Speaker 2: do it if I'm not going to do it, so 418 00:22:37,119 --> 00:22:39,600 Speaker 2: I'm on it. But how are things looking as of 419 00:22:39,680 --> 00:22:42,919 Speaker 2: today in Pennsylvania. What's the data telling us? Then? What 420 00:22:42,960 --> 00:22:43,720 Speaker 2: do you foresee? 421 00:22:45,040 --> 00:22:48,000 Speaker 4: Well, first of all, things feel very different in Pennsylvania 422 00:22:48,040 --> 00:22:49,639 Speaker 4: than they did in sixteen and than they did in 423 00:22:49,680 --> 00:22:51,919 Speaker 4: twenty and Look, I had my name on the ballot 424 00:22:51,920 --> 00:22:54,800 Speaker 4: in twenty so I can speak directly to this. In 425 00:22:54,840 --> 00:22:57,040 Speaker 4: twenty twenty, there was a ton of energy, but we 426 00:22:57,280 --> 00:22:59,920 Speaker 4: just weren't as organized as we should be as it 427 00:23:00,119 --> 00:23:02,760 Speaker 4: pertained to this whole mail in ballot craze. That was 428 00:23:02,760 --> 00:23:05,120 Speaker 4: a course new in twenty twenty. It's not new now. Well, 429 00:23:06,080 --> 00:23:12,000 Speaker 4: what we're seeing today just in the numbers are unbelievably encouraging, 430 00:23:12,040 --> 00:23:15,320 Speaker 4: and the numbers don't lie as of last week, over 431 00:23:15,359 --> 00:23:18,640 Speaker 4: the course of the last seven days ballot requests by 432 00:23:18,760 --> 00:23:22,640 Speaker 4: party for Republicans, Okay, just think about this. In twenty twenty, 433 00:23:23,000 --> 00:23:25,560 Speaker 4: over the last seven days, the Democrats were beating us 434 00:23:25,560 --> 00:23:29,040 Speaker 4: by thirty five thousand mail in ballot requests. In twenty 435 00:23:29,080 --> 00:23:31,879 Speaker 4: twenty two, they were beating us by twenty eight thousand 436 00:23:31,960 --> 00:23:34,840 Speaker 4: over the course of seven days mail in ballot requests. 437 00:23:35,160 --> 00:23:37,479 Speaker 4: In twenty twenty four, over the last seven days, we 438 00:23:37,520 --> 00:23:41,320 Speaker 4: are beating them by four thousand, you know. And in 439 00:23:41,359 --> 00:23:46,159 Speaker 4: twenty twenty the Democrats had a million person lead with 440 00:23:46,440 --> 00:23:49,880 Speaker 4: mail in ballots, and today that number is just three 441 00:23:50,000 --> 00:23:52,880 Speaker 4: hundred thousand. And for folks who are listening, you might 442 00:23:52,880 --> 00:23:55,199 Speaker 4: think three hundred thousand is a big number, but a 443 00:23:55,240 --> 00:23:58,879 Speaker 4: million is a lot bigger. And the Democrats need the 444 00:23:58,920 --> 00:24:01,880 Speaker 4: firewall that they have in twenty twenty. In order to win, 445 00:24:02,200 --> 00:24:03,639 Speaker 4: They're going to have to spend a heck of a 446 00:24:03,680 --> 00:24:05,800 Speaker 4: lot more money trying to get their people to the polls. 447 00:24:05,800 --> 00:24:09,040 Speaker 4: And for Democrats that's always a tougher hill to climb 448 00:24:09,040 --> 00:24:11,680 Speaker 4: than it is for Republicans. And this is just hot 449 00:24:11,680 --> 00:24:15,159 Speaker 4: off the presses today that as of right now, we 450 00:24:15,240 --> 00:24:18,359 Speaker 4: have added one hundred and ninety nine thousand, five hundred 451 00:24:18,359 --> 00:24:22,560 Speaker 4: and sixty eight new permanent vote by mail voters. Okay, 452 00:24:22,880 --> 00:24:25,560 Speaker 4: that is significant. We're going to cross two hundred thousand tomorrow. 453 00:24:26,040 --> 00:24:29,480 Speaker 4: But not only will this pay dividends down at the 454 00:24:29,480 --> 00:24:31,720 Speaker 4: top of the ticket, but down the ballot in this cycle, 455 00:24:31,960 --> 00:24:36,440 Speaker 4: but moving forward, every local, state and federal officeholder moving 456 00:24:36,480 --> 00:24:39,120 Speaker 4: forward would be in a far better place in Pennsylvania 457 00:24:39,119 --> 00:24:44,160 Speaker 4: than they ever have been before. So I'm extraordinarily optimistic 458 00:24:44,440 --> 00:24:47,160 Speaker 4: on this state. And this is and look, I say 459 00:24:47,240 --> 00:24:49,520 Speaker 4: that with caution because we've got a campaign like we're 460 00:24:49,520 --> 00:24:52,359 Speaker 4: ten points down, we've got a sprint to the finish. 461 00:24:52,680 --> 00:24:56,119 Speaker 4: But Trump is you know, he's running a disciplined operation 462 00:24:56,240 --> 00:24:59,720 Speaker 4: at the top of the ticket. With McCormick just below him. 463 00:24:59,800 --> 00:25:02,720 Speaker 4: A that's an unbelievable synergy to the ticket. You have 464 00:25:02,760 --> 00:25:05,439 Speaker 4: a more sort of establishment Republican and Dave McCormick and 465 00:25:05,480 --> 00:25:07,919 Speaker 4: you have Trump is just you know, the most electrifying 466 00:25:07,960 --> 00:25:10,800 Speaker 4: political candidate of my lifetime. Trump is Trump. Those two 467 00:25:10,880 --> 00:25:14,400 Speaker 4: on the ticket bring out the right combo of voters 468 00:25:14,880 --> 00:25:17,679 Speaker 4: that I think will I think will lead us to 469 00:25:17,760 --> 00:25:20,359 Speaker 4: victory on election Day. And if we win here, we 470 00:25:20,440 --> 00:25:22,840 Speaker 4: save this country because of course there's a ninety six 471 00:25:22,880 --> 00:25:24,760 Speaker 4: percent chance that we go back to the White House 472 00:25:25,040 --> 00:25:26,359 Speaker 4: if we win Pennsylvania. 473 00:25:26,960 --> 00:25:29,800 Speaker 1: Sean, you just hit on, uh, that's the sort of 474 00:25:29,920 --> 00:25:33,280 Speaker 1: overall vibe and some data, and I would just add 475 00:25:33,320 --> 00:25:37,800 Speaker 1: in the Cook Political Report today, move to Dave McCormick 476 00:25:38,080 --> 00:25:41,760 Speaker 1: into the straight toss up. And you know this better 477 00:25:41,800 --> 00:25:45,760 Speaker 1: than anybody. But when you're watching all these ads, suddenly 478 00:25:45,880 --> 00:25:48,399 Speaker 1: Casey is trying to run ads saying, hey, I'll work 479 00:25:48,480 --> 00:25:52,720 Speaker 1: really well with Donald Trump. Same thing as happening in Michigan, Pennsylvania, 480 00:25:52,760 --> 00:25:57,160 Speaker 1: and Wisconsin. If Kamala were dominating in those states, there's 481 00:25:57,240 --> 00:26:00,960 Speaker 1: no way the Democrat senators would be including Donald Trump 482 00:26:00,960 --> 00:26:03,679 Speaker 1: in their ads right now. Right That's a sign that 483 00:26:03,720 --> 00:26:05,400 Speaker 1: she's not performing very relolutely. 484 00:26:06,400 --> 00:26:08,359 Speaker 4: I'm so glad that you brought that up, because if 485 00:26:08,400 --> 00:26:11,280 Speaker 4: you're a candidate running state wide in any swing state, 486 00:26:11,720 --> 00:26:15,160 Speaker 4: you have a phase line red where if the top 487 00:26:15,200 --> 00:26:18,480 Speaker 4: of the ticket is sinking you, there comes a point 488 00:26:18,480 --> 00:26:20,639 Speaker 4: in time in your race where you have to say, 489 00:26:21,119 --> 00:26:24,520 Speaker 4: I'm covering myself and I'm discarding the top of the ticket. 490 00:26:24,920 --> 00:26:27,720 Speaker 4: Bob Casey and his team, and not only that, but 491 00:26:28,640 --> 00:26:32,399 Speaker 4: Tammy Baldwin in Wisconsin at least Lotkin and Michigan are 492 00:26:32,720 --> 00:26:34,920 Speaker 4: probably in the same spot where they're saying, I've got 493 00:26:34,920 --> 00:26:36,600 Speaker 4: to discard the top of the ticket. 494 00:26:36,400 --> 00:26:37,440 Speaker 2: And save myself. 495 00:26:37,840 --> 00:26:41,280 Speaker 4: Now put yourself in Democrat donor shoes who want to 496 00:26:41,280 --> 00:26:44,080 Speaker 4: be contributing to Kamala in these last eighteen or so 497 00:26:44,160 --> 00:26:46,120 Speaker 4: days to try to get her across the finish line. 498 00:26:46,520 --> 00:26:51,480 Speaker 4: She's being cast aside by senators in swing states, incumbent 499 00:26:51,520 --> 00:26:54,040 Speaker 4: senators in swing states, which means that they see at 500 00:26:54,040 --> 00:26:55,879 Speaker 4: the top of the ticket a trend that is not 501 00:26:56,240 --> 00:26:58,639 Speaker 4: going to be reversible. Now, I say that with caution. 502 00:26:59,160 --> 00:27:03,080 Speaker 4: We campaign like we're ten points down. But of course 503 00:27:03,080 --> 00:27:05,000 Speaker 4: you saw I'm sure you saw the news from I 504 00:27:05,000 --> 00:27:07,800 Speaker 4: think NBC reported that Joe Biden's not going to be 505 00:27:07,800 --> 00:27:09,760 Speaker 4: appearing with her on the campaign trail anymore. 506 00:27:09,840 --> 00:27:10,440 Speaker 2: Yeah, there's a. 507 00:27:10,480 --> 00:27:13,919 Speaker 4: Reason for this. It seems like that leaders in the 508 00:27:13,960 --> 00:27:17,679 Speaker 4: Democrat Party are cutting sling load on Kamala Harris. I'm 509 00:27:17,680 --> 00:27:20,920 Speaker 4: not saying that she can't win, but things don't look 510 00:27:20,920 --> 00:27:23,480 Speaker 4: good for her right now and people are starting to 511 00:27:23,560 --> 00:27:23,960 Speaker 4: see it. 512 00:27:24,960 --> 00:27:27,880 Speaker 2: How is the Casey campaign trying to position itself here 513 00:27:27,880 --> 00:27:30,240 Speaker 2: in Pennsylvania, Shawn, in these last couple of weeks up 514 00:27:30,280 --> 00:27:34,399 Speaker 2: against Dave McCormick. I'm assuming you know, we just had 515 00:27:34,480 --> 00:27:37,720 Speaker 2: three senators here with us in South Florida in studio, 516 00:27:38,720 --> 00:27:43,280 Speaker 2: Marco Rubio, Tom Cotton, and Rick Scott, right, and we're 517 00:27:43,280 --> 00:27:45,679 Speaker 2: talking about the Senate races, and one thing that just 518 00:27:45,760 --> 00:27:48,960 Speaker 2: keeps coming up is in every tight Senate race, the 519 00:27:49,040 --> 00:27:52,640 Speaker 2: Democrat just basically pretends that they're not really a Democrat, 520 00:27:52,680 --> 00:27:55,560 Speaker 2: They're like something else. You know, I'm a maverick, I 521 00:27:55,640 --> 00:27:58,879 Speaker 2: go rogue, I'm sort of an independent leading Democrat. That 522 00:27:59,040 --> 00:28:01,320 Speaker 2: is that the case he playbook or is it just 523 00:28:01,680 --> 00:28:04,000 Speaker 2: he's so known and entrenched in the state that he 524 00:28:04,000 --> 00:28:07,240 Speaker 2: thinks the machine can carry him across well. 525 00:28:07,280 --> 00:28:10,400 Speaker 4: Casey's is an interesting case because Casey is the son 526 00:28:10,440 --> 00:28:13,840 Speaker 4: of a well known conservative Democrat and well liked conservative 527 00:28:13,840 --> 00:28:17,200 Speaker 4: Democrat governor. A lot of people in this state, especially 528 00:28:17,240 --> 00:28:21,080 Speaker 4: older folks, think that Bob Casey Junior is Bob Casey senior. 529 00:28:21,320 --> 00:28:24,120 Speaker 4: They're two very different people with two very different voting records. 530 00:28:24,880 --> 00:28:28,679 Speaker 4: But Bob Casey right now is basically in the ads 531 00:28:28,680 --> 00:28:32,159 Speaker 4: that he's running and here, interestingly enough, in every media 532 00:28:32,240 --> 00:28:37,240 Speaker 4: market except Philadelphia is running ads, you know, seven figures 533 00:28:37,280 --> 00:28:41,480 Speaker 4: of ads basically positioning himself as a Trump Democrat. And 534 00:28:41,840 --> 00:28:43,560 Speaker 4: and look, I've said it before, and I'll say to 535 00:28:43,560 --> 00:28:46,280 Speaker 4: go on your show, Pennsylvania closes late and fast. If 536 00:28:46,320 --> 00:28:49,400 Speaker 4: you look at the internal polling and with leaners and 537 00:28:49,440 --> 00:28:52,120 Speaker 4: so with leaners are like people that are undecided, but 538 00:28:52,240 --> 00:28:53,960 Speaker 4: you push them a little bit and you say, if 539 00:28:53,960 --> 00:28:56,560 Speaker 4: you had to make a decision today, who would it be. 540 00:28:57,000 --> 00:29:01,520 Speaker 4: What we're seeing in internal polls is two to one 541 00:29:02,560 --> 00:29:06,600 Speaker 4: people independents that have undecided, two to one people breaking 542 00:29:06,640 --> 00:29:10,320 Speaker 4: for Republicans, and that's why you've seen an Atlas in Trafalgar, 543 00:29:10,920 --> 00:29:13,959 Speaker 4: Dave McCormick take a lead over Bob Casey in these 544 00:29:14,080 --> 00:29:16,480 Speaker 4: last two weeks of the election, and Trump expands his 545 00:29:16,600 --> 00:29:19,880 Speaker 4: lead again say all this with caution. We got to execute. 546 00:29:20,240 --> 00:29:22,360 Speaker 4: But the trends are moving in the right direction for 547 00:29:22,440 --> 00:29:24,720 Speaker 4: Republicans and I'm very, very excited about it. 548 00:29:25,840 --> 00:29:28,200 Speaker 1: What did you think of Trump in Bucks County, PA 549 00:29:28,240 --> 00:29:30,640 Speaker 1: and McDonald's. We had a lot of fun starting off 550 00:29:30,640 --> 00:29:33,240 Speaker 1: the show talking about this, but not only did it 551 00:29:33,640 --> 00:29:37,080 Speaker 1: raise issues about whether Kamala ever worked in McDonald's, it 552 00:29:37,120 --> 00:29:39,800 Speaker 1: also was super fun. I mean a press conference from 553 00:29:39,880 --> 00:29:43,440 Speaker 1: the drive through, I mean the viral videos Margo with 554 00:29:43,520 --> 00:29:46,160 Speaker 1: the Trump campaign, getting those outside by side with him. 555 00:29:46,160 --> 00:29:49,880 Speaker 1: It looked fantastic and it's driven the left crazy that 556 00:29:49,960 --> 00:29:53,280 Speaker 1: Trump did this, But man, I just think it's even 557 00:29:53,400 --> 00:29:58,040 Speaker 1: greater example of his ability to tap right into the 558 00:29:58,080 --> 00:30:01,680 Speaker 1: heart of fun but also trolling at the same time. 559 00:30:01,800 --> 00:30:02,600 Speaker 2: It felt perfect. 560 00:30:03,840 --> 00:30:06,920 Speaker 4: He's the best retail retail campaigner I've seen in just 561 00:30:06,960 --> 00:30:09,400 Speaker 4: a very long time. And the left is just going 562 00:30:09,440 --> 00:30:13,440 Speaker 4: crazy over it because they know that Kamala cannot do 563 00:30:13,720 --> 00:30:16,080 Speaker 4: what Trump does and they hate it like, there is 564 00:30:16,400 --> 00:30:20,120 Speaker 4: no way that Kamala Harris could walk into McDonald's and 565 00:30:20,200 --> 00:30:22,440 Speaker 4: operate a fry cook and that hang out the window, 566 00:30:22,560 --> 00:30:24,480 Speaker 4: that picture of Trump out the drive through with the 567 00:30:24,560 --> 00:30:27,160 Speaker 4: like little apron on and the tie waving to somebody. 568 00:30:27,520 --> 00:30:29,840 Speaker 4: I thought when I saw that image, I'm like, this 569 00:30:29,880 --> 00:30:32,000 Speaker 4: is the guy that they're trying to paint this hitler, 570 00:30:32,080 --> 00:30:35,600 Speaker 4: Give me a break. This is absolutely ridiculous. And again, 571 00:30:35,880 --> 00:30:38,240 Speaker 4: what a genius move to draw attention to the fact 572 00:30:38,320 --> 00:30:41,800 Speaker 4: that Kamala Harris lied about working at McDonald's. Of course 573 00:30:41,840 --> 00:30:45,280 Speaker 4: there's no record of her ever working there, but also 574 00:30:45,400 --> 00:30:48,280 Speaker 4: the crowd in the optics of that event, you know, 575 00:30:48,320 --> 00:30:50,640 Speaker 4: the media out there saying, oh, this is a bizarre 576 00:30:50,760 --> 00:30:54,080 Speaker 4: photo op. It was not a bizarre photo op. Trump 577 00:30:54,160 --> 00:30:56,600 Speaker 4: connects with people in a way that the left just 578 00:30:56,720 --> 00:30:59,720 Speaker 4: cannot understand, working class Americans in a way that this 579 00:31:00,120 --> 00:31:03,680 Speaker 4: just escapes them. And of course ten thousand people outside 580 00:31:04,160 --> 00:31:07,000 Speaker 4: just speak to the power. When I say that, of 581 00:31:07,040 --> 00:31:09,960 Speaker 4: course I'm a Trump guy, and I'm honest about that. 582 00:31:10,600 --> 00:31:13,480 Speaker 4: But when I say he's the most electrifying political candidate 583 00:31:13,560 --> 00:31:17,040 Speaker 4: of my lifetime, this is exactly what I mean. He's 584 00:31:17,080 --> 00:31:19,920 Speaker 4: working hard for every single vote, and when you get 585 00:31:19,920 --> 00:31:22,280 Speaker 4: an opportunity to meet Trump, and I know that you 586 00:31:22,320 --> 00:31:25,320 Speaker 4: both have had this opportunity. But for those who are listening, 587 00:31:25,840 --> 00:31:30,200 Speaker 4: he's impossible, not he's impossible to dislike. He is just 588 00:31:30,720 --> 00:31:35,440 Speaker 4: he's kind. If the media actually gave him a fair shake, 589 00:31:35,560 --> 00:31:38,160 Speaker 4: he would be running away with this thing by ten points. 590 00:31:38,200 --> 00:31:40,640 Speaker 4: But I mean that photo op at McDonald's, I mean, 591 00:31:40,680 --> 00:31:43,200 Speaker 4: to me, it's just historic and hysterical and fun. And 592 00:31:43,240 --> 00:31:45,640 Speaker 4: I think people want fun and want a little optimism 593 00:31:45,720 --> 00:31:46,080 Speaker 4: in their. 594 00:31:46,000 --> 00:31:48,840 Speaker 1: Lives today, that's for sure, Sean, as we get let's 595 00:31:48,880 --> 00:31:50,640 Speaker 1: go ahead, clich I was just gonna hit you. I 596 00:31:50,720 --> 00:31:52,880 Speaker 1: just saw this come across. A credit to people who 597 00:31:52,920 --> 00:31:55,520 Speaker 1: sent this to me. You're a Steeler fan. I don't 598 00:31:55,560 --> 00:31:59,080 Speaker 1: know if you saw this. ESPN employee Ryan Clark tweeted 599 00:32:00,080 --> 00:32:04,480 Speaker 1: former Pittsburgh Steelers split on the presidential election. One side 600 00:32:04,520 --> 00:32:07,520 Speaker 1: has mean Joe Green, Jerome Bettis, and the family of 601 00:32:07,560 --> 00:32:11,400 Speaker 1: Franco Harris supporting her. The other has Trump is being 602 00:32:11,440 --> 00:32:15,920 Speaker 1: supported by Leveon Bell and Antonio Brown. He said, different 603 00:32:16,120 --> 00:32:20,880 Speaker 1: class of folks, for sure. I mean, you're a Steeler 604 00:32:20,920 --> 00:32:25,840 Speaker 1: fan to go after Trump supporting former players and say 605 00:32:25,880 --> 00:32:28,640 Speaker 1: that they're a different class of people. I mean that 606 00:32:28,640 --> 00:32:31,280 Speaker 1: that's I mean, what's your reaction as a Steeler fan. 607 00:32:31,560 --> 00:32:34,640 Speaker 4: Well, it's just this this okay, So as a Steelers fan, 608 00:32:34,680 --> 00:32:38,400 Speaker 4: this is another perfect example of how to the left, 609 00:32:38,920 --> 00:32:43,760 Speaker 4: politics trump everything else, even personal relationships and the bonds 610 00:32:43,800 --> 00:32:46,800 Speaker 4: that they share as teammates. Like you would like I 611 00:32:47,480 --> 00:32:50,320 Speaker 4: my whole life, I've been friends with people on the left, 612 00:32:50,640 --> 00:32:54,400 Speaker 4: but today, like I think those very same people would 613 00:32:54,400 --> 00:32:57,280 Speaker 4: not want nothing to do with me now. And again, 614 00:32:57,480 --> 00:33:02,479 Speaker 4: the left just worships everything. Politics is their religion and 615 00:33:02,560 --> 00:33:06,000 Speaker 4: you can't you can't walk outside of that without being 616 00:33:06,040 --> 00:33:08,080 Speaker 4: cast aside. And I think that's what you're seeing right now. 617 00:33:09,480 --> 00:33:12,840 Speaker 4: Anyone on the left just they just cannot fathom that 618 00:33:12,960 --> 00:33:19,080 Speaker 4: people would support Donald Trump. They can't fathom that anybody 619 00:33:19,160 --> 00:33:23,040 Speaker 4: that has ever had any sort of success in their life, 620 00:33:23,320 --> 00:33:27,000 Speaker 4: a member of the elites in this society, would support 621 00:33:27,000 --> 00:33:30,920 Speaker 4: Donald Trump. It's just crazy to me, Clay that the 622 00:33:31,000 --> 00:33:33,479 Speaker 4: left just can't help themselves and being as divisive as 623 00:33:33,560 --> 00:33:37,000 Speaker 4: humanly possible, you would think he'd come out and say, hey, look, 624 00:33:37,000 --> 00:33:38,480 Speaker 4: that was a pretty amazing thing to see at a 625 00:33:38,480 --> 00:33:40,480 Speaker 4: Steeler game. As a Steeler that gives me pride in 626 00:33:40,520 --> 00:33:43,520 Speaker 4: my team, something general like that. But no, he Hey, 627 00:33:43,720 --> 00:33:47,120 Speaker 4: Antonio Brown, Levy, Unbell, you support Trump, so you're out 628 00:33:47,160 --> 00:33:49,800 Speaker 4: of the families. Essentially, what he's saying, it's ridiculous. 629 00:33:50,560 --> 00:33:53,920 Speaker 1: Sean Parnell, outstanding stuff. Get out the votes in Pennsylvania. 630 00:33:54,040 --> 00:33:54,520 Speaker 2: Let's win. 631 00:33:54,600 --> 00:33:57,440 Speaker 1: And like you said, if Pennsylvania goes Trump, if Pennsylvania 632 00:33:57,520 --> 00:34:02,560 Speaker 1: goes for the Senate candidate of our choice, than man, 633 00:34:02,680 --> 00:34:07,880 Speaker 1: everything flips overnight. Appreciate the time. I'm man yep, take care, guys. 634 00:34:08,640 --> 00:34:11,840 Speaker 1: That's Dave McCormick and Trump. Go vote for both. Tunnel 635 00:34:11,840 --> 00:34:14,279 Speaker 1: of Towers Foundation has two missions. Ones to help the 636 00:34:14,320 --> 00:34:17,800 Speaker 1: families have fallen and severely injured first responders. Second, to 637 00:34:17,840 --> 00:34:20,640 Speaker 1: make sure our nation never forgets events like nine to eleven. 638 00:34:20,680 --> 00:34:24,160 Speaker 1: They do that by honoring military veterans like US Army 639 00:34:24,160 --> 00:34:27,600 Speaker 1: specialist Brett Menard. He's now living in a new, mortgage 640 00:34:27,640 --> 00:34:30,480 Speaker 1: free smart home in Florida. Brett was motivated by the 641 00:34:30,520 --> 00:34:33,080 Speaker 1: events of nine to eleven and enlisted in the US Army. 642 00:34:33,160 --> 00:34:36,760 Speaker 1: While on a road clearance mission in Afghanistan, Brett's vehicle 643 00:34:36,840 --> 00:34:39,920 Speaker 1: was blown up by an improvised explosive device that is 644 00:34:39,960 --> 00:34:45,120 Speaker 1: an ied the blast left Brett a paraplegic with traumatic 645 00:34:45,160 --> 00:34:48,040 Speaker 1: brain injury. Because of the support of friends like you, 646 00:34:48,120 --> 00:34:51,799 Speaker 1: Tunnel the Towers built him a specially adapted smart home 647 00:34:51,800 --> 00:34:56,359 Speaker 1: that allows severely injured heroes like Brett to live more independently. 648 00:34:56,440 --> 00:34:59,919 Speaker 1: America's heroes need your help now more than ever. Join 649 00:35:00,560 --> 00:35:03,000 Speaker 1: in donating eleven dollars a month at T two t 650 00:35:03,160 --> 00:35:06,960 Speaker 1: dot org. That's t the number two t dot org. 651 00:35:07,840 --> 00:35:11,400 Speaker 4: News and politics, but also a little comic relief. 652 00:35:11,520 --> 00:35:13,480 Speaker 2: Clay Travis at Buck Sexton. 653 00:35:13,960 --> 00:35:17,279 Speaker 1: Find them on the free iHeartRadio app or wherever you 654 00:35:17,400 --> 00:35:18,480 Speaker 1: get your podcasts. 655 00:35:19,440 --> 00:35:22,200 Speaker 2: Closing up shop on Clay and Buck. Remember to go 656 00:35:22,239 --> 00:35:26,279 Speaker 2: subscribe please to the Clay and Buck podcast network, which 657 00:35:26,280 --> 00:35:31,759 Speaker 2: means our show plus the Buck Brief Sean Parnell, Carol Markowitz. 658 00:35:31,800 --> 00:35:33,920 Speaker 2: I mean it is the best podcast network out there. 659 00:35:33,920 --> 00:35:36,640 Speaker 2: I'm just going to say, we got amazing voices and 660 00:35:36,719 --> 00:35:39,920 Speaker 2: talent to bring you insights on all the latest news. 661 00:35:40,040 --> 00:35:41,560 Speaker 2: I brought this up. I just thought this was fun. 662 00:35:41,640 --> 00:35:44,799 Speaker 2: Clay also tells you a lot about government. Not only 663 00:35:44,880 --> 00:35:48,400 Speaker 2: were they worried about Elon's rocket ship falling in the 664 00:35:48,440 --> 00:35:53,239 Speaker 2: ocean and hurting jaws, they were also concerned that the 665 00:35:53,280 --> 00:35:58,280 Speaker 2: falling ship splashing in the water might upset the seals. 666 00:35:59,360 --> 00:35:59,600 Speaker 1: Navy. 667 00:36:00,719 --> 00:36:01,440 Speaker 2: Here you go a. 668 00:36:03,480 --> 00:36:06,480 Speaker 3: Seal procreation. Whether the seals would be dismayed by the 669 00:36:06,520 --> 00:36:09,040 Speaker 3: sonic booms. Now, there've been a lot of rockets launched 670 00:36:09,040 --> 00:36:13,080 Speaker 3: out of Annaberg and the seal population has steadily increased. So, 671 00:36:13,120 --> 00:36:17,080 Speaker 3: if anything, rocket booms are an effort easiac based on 672 00:36:17,120 --> 00:36:22,719 Speaker 3: the evidence, if you would correlate rock launches with seal population. Nonetheless, 673 00:36:22,800 --> 00:36:27,440 Speaker 3: we were forced to kidnap a seal strafford to a board, 674 00:36:28,320 --> 00:36:31,480 Speaker 3: put headphones on the seal and play sonic boom sounds 675 00:36:31,520 --> 00:36:35,319 Speaker 3: to it to see if it would be distressed. This 676 00:36:35,360 --> 00:36:38,200 Speaker 3: is an actual thing that happened. This is actually real. 677 00:36:38,719 --> 00:36:41,320 Speaker 2: Plus by the way we do it, simulating a sonic 678 00:36:41,360 --> 00:36:45,640 Speaker 2: boom for seals, that's what SpaceX was doing. We have 679 00:36:45,920 --> 00:36:47,640 Speaker 2: so many morons in our government. 680 00:36:47,680 --> 00:36:50,200 Speaker 1: I wish ELI could hot fire seventy five percent of 681 00:36:50,200 --> 00:36:51,320 Speaker 1: them like you did for Twitter. 682 00:36:51,680 --> 00:36:53,160 Speaker 2: Fourteen days out tomorrow,