1 00:00:00,400 --> 00:00:05,800 Speaker 1: Day number two seventy six right our two Sean Hannity Show. 2 00:00:05,840 --> 00:00:13,360 Speaker 1: It is primary day in the great state of North Carolina, Kentucky, Oregon, 3 00:00:13,480 --> 00:00:16,400 Speaker 1: and the race we're paying the most attention to is 4 00:00:16,520 --> 00:00:19,880 Speaker 1: in Pennsylvania, especially on the Senate side of that race, 5 00:00:20,000 --> 00:00:23,120 Speaker 1: where many, oh I think pretty much everybody knows why 6 00:00:23,160 --> 00:00:27,800 Speaker 1: I'm endorsing doctor Oz. Why. It's simple because it's not 7 00:00:27,840 --> 00:00:31,600 Speaker 1: because I know him. It's because of my vetting process, 8 00:00:32,040 --> 00:00:35,840 Speaker 1: the same process, probably even harder. I've vetted him harder 9 00:00:35,840 --> 00:00:41,000 Speaker 1: than I did President Trump. Many conservatives question my conservative 10 00:00:41,040 --> 00:00:44,919 Speaker 1: cretentials when I did support Donald Trump early and got 11 00:00:44,920 --> 00:00:48,320 Speaker 1: the crappied out of me. And it's not that different here. 12 00:00:48,360 --> 00:00:50,159 Speaker 1: But this is what I do. I owe it to 13 00:00:50,200 --> 00:00:52,599 Speaker 1: you to tell you what I know to be true. 14 00:00:53,200 --> 00:00:55,600 Speaker 1: And after vetting doctor Oz, he's pro life, he's pro 15 00:00:55,680 --> 00:00:59,440 Speaker 1: Second Amendment, he's pro energy independence. This guy is a fighter. 16 00:00:59,560 --> 00:01:03,320 Speaker 1: This guy believes in safe and secure borders, border security, 17 00:01:03,800 --> 00:01:07,640 Speaker 1: energy independence. He believes in everything I believe, not a 18 00:01:07,720 --> 00:01:11,760 Speaker 1: single thing. When we went down every issue repeatedly, there 19 00:01:11,840 --> 00:01:14,600 Speaker 1: wasn't one issue I found disagreement with him on, not 20 00:01:14,680 --> 00:01:17,520 Speaker 1: at all. Now he would now with the ads forty 21 00:01:17,560 --> 00:01:20,480 Speaker 1: five million dollars tumped on his head. You know, I 22 00:01:20,520 --> 00:01:23,160 Speaker 1: look at the ads and it's like totally a different person, 23 00:01:23,240 --> 00:01:27,000 Speaker 1: unrecognizable to me. But anyway, so we're watching that race 24 00:01:27,160 --> 00:01:29,760 Speaker 1: very closely. It's one of the strangest things. In all 25 00:01:29,800 --> 00:01:31,920 Speaker 1: the years I've been doing this, thirty five years on 26 00:01:32,000 --> 00:01:34,240 Speaker 1: radio and twenty six and a half years on Fox, 27 00:01:34,720 --> 00:01:36,720 Speaker 1: I don't think I ever saw a candidate that wasn't 28 00:01:36,760 --> 00:01:39,760 Speaker 1: really particularly pulling very well all of a sudden have 29 00:01:39,840 --> 00:01:44,320 Speaker 1: a this, this incredible increase just days out of the election. 30 00:01:44,800 --> 00:01:47,640 Speaker 1: And that's the case of Cathy Barnett. And for the 31 00:01:47,720 --> 00:01:51,320 Speaker 1: last week, we've reached out to her again and again 32 00:01:51,880 --> 00:01:56,360 Speaker 1: and again and again and again, and she only picked 33 00:01:56,440 --> 00:02:00,800 Speaker 1: up the phone once. And her answer was about one 34 00:02:00,880 --> 00:02:05,680 Speaker 1: of like dozens and dozens and dozens of really incendiary 35 00:02:05,960 --> 00:02:10,600 Speaker 1: and controversial tweets. It doesn't sound like me, where you hacked? 36 00:02:11,440 --> 00:02:14,560 Speaker 1: I don't remember. I gotta go, and then never picked 37 00:02:14,639 --> 00:02:17,640 Speaker 1: up the phone again. Then tweets me and says she 38 00:02:17,760 --> 00:02:19,799 Speaker 1: wants a debate one on one with us on TV 39 00:02:19,919 --> 00:02:21,399 Speaker 1: on Monday, And I'm like, well, first of all, it's 40 00:02:21,639 --> 00:02:25,840 Speaker 1: it's impossible to prepare for an event like that you need. 41 00:02:27,160 --> 00:02:29,960 Speaker 1: Usually it's months of planning. I mean it's not like, oh, 42 00:02:30,040 --> 00:02:31,880 Speaker 1: let's just show up and have a debate. Now, you 43 00:02:31,960 --> 00:02:36,440 Speaker 1: gotta have lighting, you gotta have a location, You've got 44 00:02:36,440 --> 00:02:38,280 Speaker 1: to have you know, are we gonna have an audience 45 00:02:38,360 --> 00:02:41,760 Speaker 1: or not have an audience. You gotta have cameras and 46 00:02:41,840 --> 00:02:45,120 Speaker 1: production and everything in between. You don't just snap your 47 00:02:45,120 --> 00:02:48,240 Speaker 1: fingers and say, let's have a debate. Presidential debates they 48 00:02:48,240 --> 00:02:52,200 Speaker 1: spend months and months and months and months preparing it. 49 00:02:52,639 --> 00:02:54,600 Speaker 1: We're not going to do a half assed, you know, 50 00:02:54,720 --> 00:02:57,640 Speaker 1: cable access channel debate. I worked for the Fox News Channel, 51 00:02:57,720 --> 00:03:01,080 Speaker 1: number one news network in the country. So I did 52 00:03:01,160 --> 00:03:06,120 Speaker 1: offer on Twitter if she would accept a debate yesterday, 53 00:03:06,120 --> 00:03:09,640 Speaker 1: if the other candidates would join her, and she never responded. 54 00:03:09,960 --> 00:03:12,880 Speaker 1: Then goes on a radio show on WPHT, or affiliate 55 00:03:13,240 --> 00:03:18,520 Speaker 1: in Pennsylvania in Philly and says this morning that I 56 00:03:18,560 --> 00:03:20,840 Speaker 1: didn't reach out to her. We reached out to her repeatedly, 57 00:03:21,639 --> 00:03:23,919 Speaker 1: called her, texted or texted or called or called or 58 00:03:23,960 --> 00:03:28,560 Speaker 1: texted her, and then went publicly on Twitter. No answer anyway, 59 00:03:28,600 --> 00:03:32,040 Speaker 1: So the Polly has been Emerson has os up by 60 00:03:32,040 --> 00:03:34,240 Speaker 1: five in the last post Susquehanna. I think had him 61 00:03:34,320 --> 00:03:38,920 Speaker 1: up by two. Matt Towery is with inside her advantage. 62 00:03:38,960 --> 00:03:42,040 Speaker 1: He joins us now with Robert Kahale of Trafalgar. Need 63 00:03:42,080 --> 00:03:44,840 Speaker 1: I remind both of you, all of you that both 64 00:03:44,880 --> 00:03:49,360 Speaker 1: of them have been accurate in twenty sixteen, twenty twenty. 65 00:03:50,160 --> 00:03:54,400 Speaker 1: They've been accurate as it relates to the Senate runoffs 66 00:03:54,640 --> 00:03:58,040 Speaker 1: in Georgia. They've told me in late November there's no 67 00:03:58,080 --> 00:04:02,000 Speaker 1: way that Republicans are gonna win either of those runoff races, 68 00:04:02,160 --> 00:04:05,040 Speaker 1: either of them, and they turned out to be, unfortunately right. 69 00:04:05,480 --> 00:04:08,520 Speaker 1: And we're here to talk about not only Pennsylvania, but 70 00:04:08,560 --> 00:04:11,600 Speaker 1: North Carolina, Kentucky and Oregon. And welcome both of you 71 00:04:11,640 --> 00:04:15,960 Speaker 1: back to the program. Thank you. You're to be with 72 00:04:16,040 --> 00:04:18,360 Speaker 1: you all right. Let's start with you, Matt Towery. Where 73 00:04:18,360 --> 00:04:21,920 Speaker 1: do you see this race in Pennsylvania today? Well, we 74 00:04:22,000 --> 00:04:24,680 Speaker 1: pulled it for the Fox affiliate in Philadelphia about a 75 00:04:24,720 --> 00:04:27,039 Speaker 1: week and a half ago, and at that point Oz 76 00:04:27,279 --> 00:04:32,600 Speaker 1: was enjoying a flight lead. Robert actually caught the rise 77 00:04:32,680 --> 00:04:36,839 Speaker 1: of Burnett because you pulled it more often. Weeks before that, 78 00:04:37,000 --> 00:04:39,120 Speaker 1: we caught the rise of Barnett, and we pulled and 79 00:04:39,200 --> 00:04:41,400 Speaker 1: we saw also that she had knew that very quickly. 80 00:04:41,560 --> 00:04:45,760 Speaker 1: She came up primarily for two reasons, Sean one because 81 00:04:46,480 --> 00:04:50,120 Speaker 1: she had an interesting response to an issue related to 82 00:04:50,160 --> 00:04:52,880 Speaker 1: her past personal history that struck a court with pro 83 00:04:53,000 --> 00:04:56,040 Speaker 1: life roots. And then you also had a lot of 84 00:04:56,080 --> 00:04:58,360 Speaker 1: funding come in from what I would consider the sort 85 00:04:58,360 --> 00:05:02,240 Speaker 1: of anti Trump that saw the opportunity to push her 86 00:05:02,320 --> 00:05:06,120 Speaker 1: up and try to put her ahead of Doc Rodzymply. 87 00:05:06,160 --> 00:05:09,680 Speaker 1: I think to despite President Trump right now, I see 88 00:05:09,720 --> 00:05:12,960 Speaker 1: the race of Oz having a lead it it's not 89 00:05:13,000 --> 00:05:15,279 Speaker 1: going to be massive. Barnett has been moving up and 90 00:05:15,320 --> 00:05:17,800 Speaker 1: she's sort of stalled out the last few days, and 91 00:05:18,279 --> 00:05:21,000 Speaker 1: so we're thinking, my guests would be that you'll see 92 00:05:21,000 --> 00:05:24,080 Speaker 1: that Trump bump come into place that we've bought to 93 00:05:24,080 --> 00:05:26,679 Speaker 1: be similar between four and six percent that we don't 94 00:05:26,720 --> 00:05:28,599 Speaker 1: think shows up at the polls. Robert can tell you 95 00:05:28,600 --> 00:05:30,560 Speaker 1: more about that, and he sort of quantified it. We 96 00:05:30,640 --> 00:05:33,120 Speaker 1: think when you put that in there, Oz is likely 97 00:05:33,160 --> 00:05:35,559 Speaker 1: to win that it's gonna be a very tight race tonight. 98 00:05:36,000 --> 00:05:38,520 Speaker 1: And they never know. When you're dealing with places like 99 00:05:38,560 --> 00:05:41,920 Speaker 1: Philadelphia and other cities in Pennsylvania, just like Georgia and others, 100 00:05:42,160 --> 00:05:45,520 Speaker 1: you never know what can happen. Yeah, Yeah, it's great. 101 00:05:45,600 --> 00:05:48,760 Speaker 1: That's always that's always fun news to hear. You take 102 00:05:48,839 --> 00:05:54,839 Speaker 1: Robert Kahley, Yeah, like Mo Matt was saying, we actually 103 00:05:54,839 --> 00:05:59,159 Speaker 1: saw this lady coming home March thirteenth with our first 104 00:05:59,200 --> 00:06:01,800 Speaker 1: poem that we have in the third place, and barely 105 00:06:01,839 --> 00:06:04,360 Speaker 1: in third place, just a point out of seconds. So, 106 00:06:04,600 --> 00:06:07,159 Speaker 1: I mean, this is what happens when two of these vama, 107 00:06:07,640 --> 00:06:09,920 Speaker 1: these guys just come back and forth at each other 108 00:06:09,960 --> 00:06:13,120 Speaker 1: with this kind of money, and as she remains untouched 109 00:06:13,160 --> 00:06:16,719 Speaker 1: and unscrutinized. And so what you've seen is her she's 110 00:06:16,760 --> 00:06:19,960 Speaker 1: had a a meteorc rise with nobody really kind of 111 00:06:19,960 --> 00:06:22,479 Speaker 1: mess or whether she had a great debate the same 112 00:06:22,520 --> 00:06:25,640 Speaker 1: week as the leaked decision, and here, you know, here 113 00:06:25,640 --> 00:06:29,359 Speaker 1: she's talking about her background and being born to a 114 00:06:29,440 --> 00:06:31,400 Speaker 1: mother who's a victim of rape. I mean, it was 115 00:06:31,440 --> 00:06:34,599 Speaker 1: a perfect storm for her to start to ascend. What 116 00:06:34,800 --> 00:06:37,279 Speaker 1: did happen, though, is the two campaigns got together and 117 00:06:39,160 --> 00:06:42,400 Speaker 1: both both sides seem to be at Oz and mcformakes 118 00:06:42,400 --> 00:06:45,120 Speaker 1: seem to be really putting some heat on her the 119 00:06:45,200 --> 00:06:47,680 Speaker 1: last few days, and we do see her kind of 120 00:06:47,880 --> 00:06:51,599 Speaker 1: that momentumous sload, but it has been very tight between 121 00:06:52,520 --> 00:06:57,159 Speaker 1: Barnett and Oz the entire weekend through yesterday, with OZ 122 00:06:57,200 --> 00:07:01,280 Speaker 1: having the slightest of edges, and with the possibility of 123 00:07:01,360 --> 00:07:03,120 Speaker 1: there'll be a little bit of a Trump pump that 124 00:07:03,160 --> 00:07:06,360 Speaker 1: we think does exist. I think that plus the edge 125 00:07:06,400 --> 00:07:08,839 Speaker 1: that OZ has picked up, that should be where it 126 00:07:08,839 --> 00:07:10,840 Speaker 1: takes to keep in the head. But it could very 127 00:07:10,880 --> 00:07:12,560 Speaker 1: well be tight. And knowing that we could have one 128 00:07:12,640 --> 00:07:16,280 Speaker 1: hundred and fifty thousand absentees to be counted, depend upon 129 00:07:16,320 --> 00:07:18,120 Speaker 1: when they count them, depends on when we know something. 130 00:07:19,160 --> 00:07:22,000 Speaker 1: Let's let's talk about now the things that have come 131 00:07:22,000 --> 00:07:24,080 Speaker 1: out in the last seven days as it relates to 132 00:07:24,160 --> 00:07:28,640 Speaker 1: Cathy Barnett and if she wore the nominee. Do you think, 133 00:07:28,680 --> 00:07:34,360 Speaker 1: Matt Towery she is in any way electable? Well, hang, 134 00:07:34,440 --> 00:07:38,200 Speaker 1: you never say never. I think she is the least 135 00:07:38,200 --> 00:07:41,320 Speaker 1: electable of the three candidates who have been buying for 136 00:07:41,400 --> 00:07:44,640 Speaker 1: that top but well, the least electable by a long shot, 137 00:07:44,760 --> 00:07:48,320 Speaker 1: or the least electable by it just a little, No, 138 00:07:48,520 --> 00:07:51,560 Speaker 1: the least electable to the point that it would be 139 00:07:51,680 --> 00:07:54,480 Speaker 1: very hard to handicap that as being a Republican win 140 00:07:54,560 --> 00:07:56,440 Speaker 1: in Pennsylvank. You that would sort of be I now, 141 00:07:56,880 --> 00:07:59,440 Speaker 1: admittedly you don't know what the other side is going 142 00:07:59,480 --> 00:08:01,480 Speaker 1: to do. You had a problem the illness. Of course 143 00:08:01,520 --> 00:08:04,640 Speaker 1: you wanted to Conna. But you read the tweets about Trump. 144 00:08:04,680 --> 00:08:07,680 Speaker 1: So that's going to anger Republican voters and Trump supporters. 145 00:08:08,000 --> 00:08:12,160 Speaker 1: You've read the tweets, the all the incendiary tweets that 146 00:08:12,240 --> 00:08:17,440 Speaker 1: she doesn't recall ever writing, go ahead, well, my view 147 00:08:17,680 --> 00:08:20,560 Speaker 1: is that she is the least electable of the three, 148 00:08:20,680 --> 00:08:23,760 Speaker 1: and in all probability I would not see a Republican 149 00:08:23,800 --> 00:08:26,080 Speaker 1: win in the fall if she gets the nomination. That 150 00:08:26,080 --> 00:08:30,440 Speaker 1: would be my view. Robert ka Haley your thoughts, I 151 00:08:30,520 --> 00:08:32,800 Speaker 1: think I think very much the same thing. I think 152 00:08:32,800 --> 00:08:35,640 Speaker 1: we all understand that Pennsylvania is not the kind of 153 00:08:35,640 --> 00:08:38,719 Speaker 1: place that you want to put a Republican who just 154 00:08:39,000 --> 00:08:43,560 Speaker 1: barely wins in November. I think barely winning doesn't mean 155 00:08:43,600 --> 00:08:45,920 Speaker 1: a lot in Pennsylvania. You need somebody who can run 156 00:08:46,000 --> 00:08:49,160 Speaker 1: up the score, and I do not think she's in 157 00:08:49,200 --> 00:08:54,480 Speaker 1: that position. Nor do I think I think Oz's unique 158 00:08:54,480 --> 00:08:58,719 Speaker 1: appeal to people who do not consider themselves Republicans or Democrats, 159 00:08:58,760 --> 00:09:02,079 Speaker 1: just kind of people who judge an individual. They built 160 00:09:02,240 --> 00:09:05,400 Speaker 1: a trust and a relationship with him on television probably 161 00:09:05,400 --> 00:09:08,160 Speaker 1: these years, and I think he is in the position 162 00:09:08,240 --> 00:09:12,240 Speaker 1: to win big enough that it will be hard for 163 00:09:12,280 --> 00:09:16,000 Speaker 1: that victory not to emerge. So the William F. Buckley 164 00:09:16,320 --> 00:09:19,800 Speaker 1: Buckley adage of you will Robert that you find the 165 00:09:19,800 --> 00:09:23,280 Speaker 1: most conservative person that can win, and that's what you 166 00:09:23,320 --> 00:09:27,440 Speaker 1: should support applies here. Yes, except for him Pennsylvania, as 167 00:09:27,480 --> 00:09:31,040 Speaker 1: they win and win big, and win and win big. Right, 168 00:09:31,440 --> 00:09:35,480 Speaker 1: How important, Matt Towery, was Donald Trump's endorsement in this 169 00:09:35,679 --> 00:09:39,000 Speaker 1: race in your view? Well, that it was critical. I mean, 170 00:09:39,240 --> 00:09:41,480 Speaker 1: by the way, how unimportant is my endorsement ever? But 171 00:09:41,520 --> 00:09:46,800 Speaker 1: go ahead, your endorsement. Obviously it's becoming increasingly important by 172 00:09:46,840 --> 00:09:52,200 Speaker 1: the day. According to Kathy Barhead, apparently I heard I 173 00:09:52,280 --> 00:09:55,920 Speaker 1: heard some tape. I'll play it later. Yeah, So anyway, 174 00:09:56,320 --> 00:09:59,880 Speaker 1: you know, Trump's endorsement is critical in Pennsylvania because the doctor, 175 00:10:00,360 --> 00:10:03,280 Speaker 1: for all the positives that he asked, he is entering 176 00:10:03,320 --> 00:10:06,679 Speaker 1: politics as a brand new candidate, coming off a very 177 00:10:06,679 --> 00:10:08,960 Speaker 1: successful run of course on television, so he had that 178 00:10:09,000 --> 00:10:12,000 Speaker 1: going for him. But Trump gave Oz sort of the 179 00:10:12,160 --> 00:10:15,200 Speaker 1: political shops to be able to get into this from 180 00:10:15,240 --> 00:10:18,280 Speaker 1: the beginning, and I think it's been critical for Oz 181 00:10:18,360 --> 00:10:21,240 Speaker 1: in the last few weeks, especially as he hasn't seen 182 00:10:21,600 --> 00:10:24,480 Speaker 1: first the McCormick a group and sort of come after him, 183 00:10:24,520 --> 00:10:27,880 Speaker 1: and then of course Kathy Barnett and makes surge. Trump 184 00:10:27,880 --> 00:10:31,240 Speaker 1: has been I think the major component that has allowed 185 00:10:31,320 --> 00:10:33,800 Speaker 1: Oz to remain at the level. And I noticed this 186 00:10:33,920 --> 00:10:36,880 Speaker 1: from our polling and also from Roberts. Oz never went 187 00:10:37,040 --> 00:10:39,920 Speaker 1: below a certain level. He has a feeling, but he 188 00:10:40,280 --> 00:10:43,160 Speaker 1: has the floor and he never goes above that floor. 189 00:10:43,240 --> 00:10:46,120 Speaker 1: And I suspect his feeling is going to be above 190 00:10:46,200 --> 00:10:48,600 Speaker 1: what has been showing in the polls, when, by the way, 191 00:10:48,640 --> 00:10:50,800 Speaker 1: that kept him in the league the entire time. I've 192 00:10:50,840 --> 00:10:53,160 Speaker 1: never seen a poll where he wasn't leading. Yeah, we 193 00:10:53,480 --> 00:10:55,000 Speaker 1: haven't had a single pore. We had a couple of 194 00:10:55,120 --> 00:10:58,080 Speaker 1: nights where maybe he would slip back and forth, but overall, 195 00:10:58,120 --> 00:11:00,319 Speaker 1: in all of the polls, when you got through it 196 00:11:00,400 --> 00:11:02,880 Speaker 1: at all, he was always in the league. And I 197 00:11:02,920 --> 00:11:06,520 Speaker 1: think that was critical um in these last three months, 198 00:11:06,640 --> 00:11:10,280 Speaker 1: three weeks rather at this race especially, Yes, well, let's 199 00:11:10,280 --> 00:11:15,120 Speaker 1: talk about the Trump bump that Matt mentioned Robert Kahley. Yeah, 200 00:11:15,160 --> 00:11:18,960 Speaker 1: I think what we've determined and watching it, you know 201 00:11:19,000 --> 00:11:21,400 Speaker 1: that we'd have found in twenty sixteen what we called 202 00:11:21,440 --> 00:11:24,880 Speaker 1: silent and you know hidden silent Trump voters. And these 203 00:11:24,880 --> 00:11:26,760 Speaker 1: are people who just didn't want to kind of give 204 00:11:26,760 --> 00:11:28,840 Speaker 1: you the straight to coop where they were in a poll. 205 00:11:29,320 --> 00:11:32,040 Speaker 1: What we saw in twenty twenties a different phenomenon. They 206 00:11:32,120 --> 00:11:34,560 Speaker 1: just decided they didn't want to participate in polls. They 207 00:11:34,559 --> 00:11:38,480 Speaker 1: didn't they'd seen the poles so skewed. They just figured, hey, 208 00:11:38,880 --> 00:11:42,040 Speaker 1: it's nobody's business who I'm poor. Lots of questions when 209 00:11:42,040 --> 00:11:43,520 Speaker 1: you call him about well, what are you gonna do 210 00:11:43,559 --> 00:11:47,079 Speaker 1: with information? You know, how how do you keep my 211 00:11:47,160 --> 00:11:49,640 Speaker 1: name out of it? People just don't want to be docks. 212 00:11:49,640 --> 00:11:51,360 Speaker 1: They don't they don't want to be criticized, and they 213 00:11:51,400 --> 00:11:53,720 Speaker 1: just want to go about their business. And so they're 214 00:11:53,760 --> 00:11:55,840 Speaker 1: gonna show up, they're gonna vote for Trump, and they're 215 00:11:55,920 --> 00:12:00,040 Speaker 1: really hard poll because they don't like entering poles. So 216 00:12:00,360 --> 00:12:04,440 Speaker 1: we think that number is between three and probably four 217 00:12:04,480 --> 00:12:07,240 Speaker 1: and a half and a Republican primary, a little more 218 00:12:07,280 --> 00:12:10,120 Speaker 1: in a general election. I mean, I was shocking. The 219 00:12:10,200 --> 00:12:13,040 Speaker 1: number of the bump that JD. Van Scott in Ohio 220 00:12:13,200 --> 00:12:15,520 Speaker 1: was incredible. When we come back, we'll talk a little 221 00:12:15,520 --> 00:12:19,120 Speaker 1: bit about Kentucky, North Carolina, Oregon and any other race 222 00:12:19,200 --> 00:12:23,000 Speaker 1: that you think is interesting or important. Then next week 223 00:12:23,000 --> 00:12:25,640 Speaker 1: it's going to be Georgia, and I think herschel Walker 224 00:12:25,679 --> 00:12:28,120 Speaker 1: will do well. Not sure what's going to happen in 225 00:12:28,160 --> 00:12:30,679 Speaker 1: the per Duke Kemp race. I think Kemp is up, 226 00:12:30,720 --> 00:12:33,600 Speaker 1: but there's talk that there might be a runoff. If 227 00:12:33,640 --> 00:12:53,000 Speaker 1: that's the case, that would be interesting right as we 228 00:12:53,080 --> 00:12:56,920 Speaker 1: roll along. As we roll along, eight hundred nine, Shawn 229 00:12:57,040 --> 00:12:58,079 Speaker 1: is a number you want to be a part of 230 00:12:58,120 --> 00:13:02,400 Speaker 1: the program, or Polsters, Matt Towery and also Robert Kaheley, 231 00:13:03,120 --> 00:13:07,520 Speaker 1: Robert with Trafalgar insider advantages, Matt Towery's group all right 232 00:13:07,640 --> 00:13:09,719 Speaker 1: in Kentucky. Later on we have Rand Paul at the 233 00:13:09,800 --> 00:13:11,440 Speaker 1: top of the next hour. I would imagine he has 234 00:13:11,440 --> 00:13:13,480 Speaker 1: an easy run. I don't even know the name of 235 00:13:14,320 --> 00:13:18,480 Speaker 1: any primary opponents. Randa is very popular rightly, so in 236 00:13:18,600 --> 00:13:21,840 Speaker 1: Kentucky we're supporting him. You see any change any issues 237 00:13:21,880 --> 00:13:28,000 Speaker 1: in Kentucky either one of you? None, none, they I 238 00:13:28,000 --> 00:13:32,840 Speaker 1: don't see any either. Robert, I haven't bothered talking about 239 00:13:32,880 --> 00:13:35,120 Speaker 1: it much. You know, there's too many races that do matter, 240 00:13:35,240 --> 00:13:39,080 Speaker 1: that are closer. Sometimes it feels like Rand Paul speaking 241 00:13:39,080 --> 00:13:41,560 Speaker 1: for the entire country. But we know he's speaking for Kentucky. 242 00:13:41,600 --> 00:13:44,880 Speaker 1: Here went East. What about budd in North Carolina? Looks 243 00:13:44,880 --> 00:13:47,400 Speaker 1: like he's headed a victory. Any thoughts on that, Robert. 244 00:13:48,240 --> 00:13:50,240 Speaker 1: Last time we checked him, he was ever fifteen. North 245 00:13:50,280 --> 00:13:52,480 Speaker 1: Carolina has a very peculiar rule that you don't have 246 00:13:52,520 --> 00:13:55,120 Speaker 1: to be over thirty to avoid a runoff, So I 247 00:13:55,120 --> 00:13:57,840 Speaker 1: think he's going to clear that far. What do you think, 248 00:13:58,520 --> 00:14:03,520 Speaker 1: Matt Turry? We agree, totally agree. Do you both agree 249 00:14:03,559 --> 00:14:09,760 Speaker 1: with me on this statement that if Republicans lose Pennsylvania, 250 00:14:09,880 --> 00:14:13,040 Speaker 1: if they're crazy enough to go with Kathy Barnett, who's 251 00:14:13,040 --> 00:14:17,400 Speaker 1: going to get eviscerated in a general election, that the 252 00:14:17,440 --> 00:14:21,640 Speaker 1: odds of Republican control of the Senate go down dramatically. 253 00:14:21,960 --> 00:14:26,160 Speaker 1: Do you both agree with that statement? I certainly do. 254 00:14:26,920 --> 00:14:29,560 Speaker 1: Let me just say this, Sean, what we have going 255 00:14:29,600 --> 00:14:33,320 Speaker 1: on right now in these primaries, both in Pennsylvania coming 256 00:14:33,360 --> 00:14:37,200 Speaker 1: up in Georgia, you have a very large below the 257 00:14:37,360 --> 00:14:40,480 Speaker 1: radar screen attempt to try to damage Donald Trump in 258 00:14:40,560 --> 00:14:43,880 Speaker 1: the eleventh hour when he could actually deliver a majority 259 00:14:44,280 --> 00:14:47,280 Speaker 1: of Republicans for the US Senate and for other races 260 00:14:47,320 --> 00:14:50,800 Speaker 1: as well. And it's clear to me, I think it's 261 00:14:50,800 --> 00:14:53,320 Speaker 1: been clear to Robert, and I don't think it's going 262 00:14:53,360 --> 00:14:55,680 Speaker 1: to work in Pennsylvania. Now. When it comes to Georgia 263 00:14:55,800 --> 00:14:57,720 Speaker 1: and the governor's race, that could be a different matter. 264 00:14:58,200 --> 00:15:01,000 Speaker 1: But it's certainly going on. And that's why you're seeing 265 00:15:01,000 --> 00:15:03,160 Speaker 1: the surge at the last minute and the money behind 266 00:15:03,200 --> 00:15:07,240 Speaker 1: Bonnette to try to knock off Oz. Your take, Robert, 267 00:15:08,080 --> 00:15:13,880 Speaker 1: what's really fascinating is everyone you know, the running line 268 00:15:14,080 --> 00:15:16,760 Speaker 1: was Trump will probably endorse people who can't win in 269 00:15:16,800 --> 00:15:19,240 Speaker 1: the fallow that will be his legacy. Well, he's done 270 00:15:19,320 --> 00:15:22,280 Speaker 1: exactly the opposite of these races. He's picked people with 271 00:15:22,360 --> 00:15:24,640 Speaker 1: the best chance to win in the mall and people 272 00:15:24,640 --> 00:15:26,520 Speaker 1: who don't seem to care about the follower, willing to 273 00:15:26,560 --> 00:15:31,040 Speaker 1: beat him at alcohols. You know, pretty unbelievable. Both times. 274 00:15:31,760 --> 00:15:35,760 Speaker 1: This never Trump or movement or try and sabotage Trump's 275 00:15:35,960 --> 00:15:39,400 Speaker 1: primary picks. He made the right call with Oz and 276 00:15:39,840 --> 00:15:42,960 Speaker 1: Pa and I've made my own vetting on this, and 277 00:15:43,000 --> 00:15:45,480 Speaker 1: I put my own conservative credentials on the line on this, 278 00:15:45,960 --> 00:15:51,160 Speaker 1: But ultimately it comes down to the voters. This is 279 00:15:51,160 --> 00:15:56,720 Speaker 1: a Sean Hannity show, all right, twenty five nuns at 280 00:15:56,720 --> 00:15:58,560 Speaker 1: the top of the hour, eight hundred nine one. Shaun 281 00:15:58,680 --> 00:16:00,880 Speaker 1: is on number all right, So this is from Pennsylvania 282 00:16:00,920 --> 00:16:04,479 Speaker 1: Live dot com penlive dot com as the website headline, 283 00:16:04,640 --> 00:16:09,280 Speaker 1: Lancaster County reports big mail in ballot problem. Significant number 284 00:16:09,280 --> 00:16:12,440 Speaker 1: of the ballots did not scan. I'm like, you can't 285 00:16:12,440 --> 00:16:15,520 Speaker 1: make this up. County Board of Elections were supposed to 286 00:16:15,520 --> 00:16:18,520 Speaker 1: begin counting mail in ballots at seven am today, reducing 287 00:16:18,520 --> 00:16:21,920 Speaker 1: the logjam of vote counting issues when the PA primary 288 00:16:21,960 --> 00:16:25,360 Speaker 1: election polls closed this evening. But in Lancaster County and 289 00:16:25,400 --> 00:16:29,120 Speaker 1: I'm reading directly from penlive dot com, was a big problem. 290 00:16:29,240 --> 00:16:32,040 Speaker 1: Upon opening and scanning the first batch of ballots, became 291 00:16:32,080 --> 00:16:36,360 Speaker 1: immediately apparent that a significant number of the mail ballots 292 00:16:36,440 --> 00:16:40,240 Speaker 1: did not scan. A county press release stated upon further 293 00:16:40,320 --> 00:16:43,240 Speaker 1: inspection of the ballots, the county identified the ballots were 294 00:16:43,240 --> 00:16:47,320 Speaker 1: printed by the mail ballot vendor NPC, who I have 295 00:16:47,320 --> 00:16:51,400 Speaker 1: no idea who they are, with the wrong ID code. 296 00:16:51,640 --> 00:16:54,120 Speaker 1: The error prevents the ballots from being scanned on the 297 00:16:54,120 --> 00:16:57,400 Speaker 1: county central scanners. The county board added there was no 298 00:16:57,440 --> 00:17:00,000 Speaker 1: way of knowing about the issue before they began opening 299 00:17:00,080 --> 00:17:03,280 Speaker 1: mail in ballots this morning. The incorrect printing by the 300 00:17:03,360 --> 00:17:08,520 Speaker 1: vendor was after the election staff prue approved MPC's test 301 00:17:08,560 --> 00:17:11,320 Speaker 1: ballots which had the correct ID code. The county board 302 00:17:11,400 --> 00:17:15,919 Speaker 1: statement read quote, those ballots scan properly during the county's 303 00:17:16,080 --> 00:17:19,320 Speaker 1: logic and accuracy test prior to the mailing of any 304 00:17:19,359 --> 00:17:22,080 Speaker 1: ballots to voters. Thus, there was no way for the 305 00:17:22,119 --> 00:17:24,920 Speaker 1: county to discover this vendor error prior to seven am 306 00:17:24,920 --> 00:17:27,720 Speaker 1: on election day, when the law requires mail ballots to 307 00:17:28,040 --> 00:17:31,640 Speaker 1: be first open. Despite it all, the election office insisted 308 00:17:31,680 --> 00:17:34,600 Speaker 1: it would press ahead and count all the ballots, stating 309 00:17:34,720 --> 00:17:38,520 Speaker 1: in this press release quote after conferring with both major 310 00:17:38,560 --> 00:17:43,000 Speaker 1: political parties, the staff recommended process to correct the issue 311 00:17:43,400 --> 00:17:49,320 Speaker 1: will involve remarking, remarking, and scanning all affected ballots. This 312 00:17:49,400 --> 00:17:53,040 Speaker 1: is the process used in the twenty twenty one primary 313 00:17:53,080 --> 00:17:57,880 Speaker 1: election when the previous mail ballot vendor printed the ballots incorrectly. 314 00:17:59,560 --> 00:18:03,520 Speaker 1: This is saying the county board set election integrity remains 315 00:18:03,640 --> 00:18:08,199 Speaker 1: paramount concerns, stating running fair, secure elections as a sacred trust. 316 00:18:08,480 --> 00:18:11,520 Speaker 1: The Board of Elections will do everything possible to ensure 317 00:18:12,560 --> 00:18:16,000 Speaker 1: that this problem is resolved in a transparent, secure way. 318 00:18:16,320 --> 00:18:19,840 Speaker 1: Any steps taken to be transparently observed by both major 319 00:18:19,840 --> 00:18:23,240 Speaker 1: political parties representatives from the campaigns by the media. The 320 00:18:23,280 --> 00:18:25,679 Speaker 1: County Board of Election called the press conference for this 321 00:18:25,760 --> 00:18:29,119 Speaker 1: afternoon to further disgust and explain the mail and ballot issues. 322 00:18:29,440 --> 00:18:33,080 Speaker 1: To share your observations as you visit your polling place today, 323 00:18:33,320 --> 00:18:36,719 Speaker 1: please email pen Live reporter John whatever his name is 324 00:18:37,240 --> 00:18:41,600 Speaker 1: at they give his address. Tell us your name, age, 325 00:18:41,600 --> 00:18:44,600 Speaker 1: party affiliation, along with what issues are driving your decision, 326 00:18:44,600 --> 00:18:46,440 Speaker 1: and what message you hope to send with your vote. 327 00:18:46,800 --> 00:18:49,240 Speaker 1: Stay with pen Live throughout the primary election day for 328 00:18:49,280 --> 00:18:53,000 Speaker 1: the latest from Central Polling Pennsylvania polling places, and when 329 00:18:53,000 --> 00:18:55,120 Speaker 1: the polls closed at eight PM, stick with pen Live 330 00:18:55,200 --> 00:18:57,359 Speaker 1: for real time results as your ballot is counted and 331 00:18:57,480 --> 00:19:00,560 Speaker 1: the vote totals roll in. Jeff lords Us, a friend 332 00:19:00,600 --> 00:19:03,280 Speaker 1: of this program for a long time. Dear personal friend, 333 00:19:03,320 --> 00:19:06,840 Speaker 1: how are you hello? My friend Sean? Well, I guess 334 00:19:07,119 --> 00:19:09,480 Speaker 1: you know. I'll tell them I'm twenty one and I've 335 00:19:09,480 --> 00:19:13,359 Speaker 1: never voted. How's that you think they'll buy that? I 336 00:19:13,359 --> 00:19:16,080 Speaker 1: don't want to laugh because it's too serious, you know, 337 00:19:16,480 --> 00:19:19,800 Speaker 1: Well it is. You know I voted this morning around 338 00:19:20,200 --> 00:19:23,640 Speaker 1: ten o'clock. The turnout here and my precinct was fairly light. 339 00:19:25,040 --> 00:19:27,639 Speaker 1: That will doubtless increase as the day goes on. But 340 00:19:27,760 --> 00:19:31,240 Speaker 1: here's the real problem with this story out of Lancaster County, 341 00:19:31,600 --> 00:19:34,119 Speaker 1: and I went to frank and Marshall College in Lancaster, 342 00:19:34,200 --> 00:19:38,040 Speaker 1: so I spent a fair share of time there. Lancaster County, 343 00:19:38,040 --> 00:19:43,080 Speaker 1: which is fairly good size, is the Republican heartland without question. 344 00:19:44,520 --> 00:19:49,000 Speaker 1: And so if this problem turns out to be unresolved, 345 00:19:49,000 --> 00:19:51,560 Speaker 1: the people who should be the most nervous about this 346 00:19:52,280 --> 00:19:55,560 Speaker 1: are all the Republican candidates for both Senator and governor, 347 00:19:56,040 --> 00:19:59,680 Speaker 1: because if they think that they're going to run away 348 00:19:59,680 --> 00:20:03,960 Speaker 1: with something or make significant progress by getting Republican votes 349 00:20:04,000 --> 00:20:09,320 Speaker 1: in Lancaster, which is of course totally totally normal thing 350 00:20:09,359 --> 00:20:12,960 Speaker 1: to think, then wow, this this could throw a real 351 00:20:13,000 --> 00:20:18,359 Speaker 1: monkey wrench in things. So, you know, I would imagine, 352 00:20:18,600 --> 00:20:22,679 Speaker 1: and I have reached out to people's sources I have 353 00:20:22,760 --> 00:20:25,920 Speaker 1: on the ground, and apparently every campaign has somebody there, 354 00:20:25,960 --> 00:20:31,160 Speaker 1: and they're like apoplectic about it. Yes, I'm sure they are. 355 00:20:31,359 --> 00:20:33,920 Speaker 1: I'm sure they only can't blame them, right, I mean, 356 00:20:33,960 --> 00:20:36,399 Speaker 1: you know, Linda and I both live here in Pennsylvania, 357 00:20:36,480 --> 00:20:38,600 Speaker 1: Linda in the eastern side and I right here in 358 00:20:38,600 --> 00:20:41,439 Speaker 1: the middle, and right you know, this this place is 359 00:20:41,480 --> 00:20:46,760 Speaker 1: just you know, consumed with these two elections. Uh, there 360 00:20:46,760 --> 00:20:50,560 Speaker 1: are signs all over the place, yard signs, I mean, 361 00:20:50,600 --> 00:20:53,399 Speaker 1: just going through my own neighborhood. There are yard signs 362 00:20:53,400 --> 00:20:57,920 Speaker 1: for every imaginable Kennedy for senator and governor. People are 363 00:20:58,040 --> 00:21:01,840 Speaker 1: really tuned into this. So let me ask you this question. 364 00:21:01,920 --> 00:21:05,320 Speaker 1: With the with the sudden rise of Barnett and this 365 00:21:05,560 --> 00:21:09,119 Speaker 1: race and then finding out all these controversial and you know, 366 00:21:09,359 --> 00:21:13,960 Speaker 1: crazy things that she said and tweeted, has that knowledge 367 00:21:14,440 --> 00:21:19,360 Speaker 1: gotten into the Republican primary voter bloodstream, that people are 368 00:21:19,480 --> 00:21:22,800 Speaker 1: very aware of the things that she has said and 369 00:21:23,440 --> 00:21:26,680 Speaker 1: the things she's tweeted. I think it may. I mean, 370 00:21:26,920 --> 00:21:29,920 Speaker 1: I you know, I've moderated two Senate debates in the 371 00:21:30,000 --> 00:21:33,160 Speaker 1: governor's debate, and in each case, in the Senate debates, 372 00:21:33,600 --> 00:21:36,359 Speaker 1: she did extremely well. She really as a matter of fact, 373 00:21:36,359 --> 00:21:38,760 Speaker 1: at the Pennsylvania Leadership Conference, which is sort of the 374 00:21:38,800 --> 00:21:42,200 Speaker 1: state version of Sepack, she won the straw Pole. This 375 00:21:42,280 --> 00:21:46,320 Speaker 1: was about a month ago, so she's very popular now. 376 00:21:46,359 --> 00:21:48,639 Speaker 1: One of the things that I think may backfire on 377 00:21:48,720 --> 00:21:52,200 Speaker 1: her now is that she has said if she doesn't win, 378 00:21:52,760 --> 00:21:57,199 Speaker 1: she's not going to support the winner. Well, you know, 379 00:21:57,560 --> 00:21:59,720 Speaker 1: I just don't think that's going to go over well 380 00:21:59,760 --> 00:22:03,160 Speaker 1: with a lot of people. Um, you know, they want 381 00:22:03,320 --> 00:22:07,960 Speaker 1: they expect team play here, particularly since this is so important, uh, 382 00:22:08,000 --> 00:22:10,040 Speaker 1: and the winner is going to need every last bit 383 00:22:10,080 --> 00:22:12,760 Speaker 1: of support. Do you think enough people have come to 384 00:22:12,800 --> 00:22:16,639 Speaker 1: the conclusion that in a general election that that all 385 00:22:16,680 --> 00:22:21,040 Speaker 1: of this is gonna be just they're gonna hammer her 386 00:22:21,119 --> 00:22:24,359 Speaker 1: with all of these comments, And I mean, I'm not 387 00:22:24,400 --> 00:22:26,920 Speaker 1: sure that they have, Sean, I'm not sure that this 388 00:22:27,040 --> 00:22:29,400 Speaker 1: is and you know, you've been talking about this a lot. 389 00:22:30,040 --> 00:22:32,879 Speaker 1: As a matter of fact, I heard her on another 390 00:22:32,920 --> 00:22:36,520 Speaker 1: show today mentioned you, oh, actually we have that clip, 391 00:22:36,520 --> 00:22:40,719 Speaker 1: but we're gonna play it later. Yeah, but I'm not 392 00:22:40,800 --> 00:22:44,239 Speaker 1: sure that this has sunk in with a lot of 393 00:22:44,240 --> 00:22:49,440 Speaker 1: folks around here at this point. Um, you know, I mean, Sean, 394 00:22:49,520 --> 00:22:53,359 Speaker 1: that's the if is sunk into half of the Republican 395 00:22:53,400 --> 00:22:57,440 Speaker 1: primary voters. I mean, is it thirty three percent? That likely? No, 396 00:22:59,760 --> 00:23:04,440 Speaker 1: the thirt you know what percentage of Republican primary voter 397 00:23:04,560 --> 00:23:07,760 Speaker 1: is going to be fully aware of this unvetted candidate 398 00:23:07,800 --> 00:23:10,760 Speaker 1: and what she has said and tweeted. You know, I 399 00:23:10,800 --> 00:23:13,199 Speaker 1: don't know many Republicans that want a statue for Barack 400 00:23:13,200 --> 00:23:16,240 Speaker 1: Obama to you. Yeah, no, no, I mean I think 401 00:23:16,280 --> 00:23:19,880 Speaker 1: as the realization dawns of the things she said here, 402 00:23:19,920 --> 00:23:23,040 Speaker 1: the question is has this gotten through? And yeah, you 403 00:23:23,119 --> 00:23:25,840 Speaker 1: know it's the same old story, Sewan. Every election. You've 404 00:23:25,840 --> 00:23:29,000 Speaker 1: got people, you know, unlike geeks like me that pay 405 00:23:29,040 --> 00:23:31,480 Speaker 1: attention to this twenty four to seven. You know, people 406 00:23:31,480 --> 00:23:33,960 Speaker 1: are living their lives right, They've got kids to feed, 407 00:23:34,200 --> 00:23:37,440 Speaker 1: kids to get to school, they've got worked, etc. So 408 00:23:37,520 --> 00:23:40,639 Speaker 1: I mean I talked to somebody in a business the 409 00:23:40,640 --> 00:23:42,879 Speaker 1: other day when I was in there for something, and 410 00:23:43,000 --> 00:23:46,479 Speaker 1: she told me she hadn't even focused on the election, 411 00:23:46,560 --> 00:23:48,359 Speaker 1: on who's on the ballot or what the issues were 412 00:23:48,400 --> 00:23:51,640 Speaker 1: in This was a couple of weeks ago. Well, yeah, 413 00:23:51,640 --> 00:23:54,440 Speaker 1: it's not very Listen. We live, eat, breathe, and sleep though, 414 00:23:54,480 --> 00:23:57,119 Speaker 1: so that's not particularly uncommon. All right, any predictions, what 415 00:23:57,160 --> 00:24:00,639 Speaker 1: do you think is going to happen in the Senate race? Uh? 416 00:24:02,119 --> 00:24:04,800 Speaker 1: I would give the edge to doctor Oz at this point, 417 00:24:04,880 --> 00:24:07,239 Speaker 1: but it's it's only an edge. I mean, listening to 418 00:24:07,280 --> 00:24:09,840 Speaker 1: your polsters and everything, I mean, it's Sean and truth. 419 00:24:09,840 --> 00:24:13,280 Speaker 1: This could go anyway. I think I saw a poll 420 00:24:13,359 --> 00:24:18,520 Speaker 1: that said that they're about thirty undecided in the Senate race. Wow, 421 00:24:19,480 --> 00:24:23,320 Speaker 1: it's gonna get interesting. Do you think, based on what 422 00:24:23,400 --> 00:24:26,160 Speaker 1: you know about Kathy that she could win in general election? 423 00:24:26,200 --> 00:24:30,000 Speaker 1: Because I think the it's next to nil possible. Sure, 424 00:24:30,080 --> 00:24:33,000 Speaker 1: anything's possible, but well, the one thing that she might 425 00:24:33,080 --> 00:24:37,120 Speaker 1: have going for is her presumed opponent, John Feederman. Yeah, 426 00:24:37,119 --> 00:24:41,960 Speaker 1: that's everybody's you know, whoever wins this nomination, I would 427 00:24:42,040 --> 00:24:45,600 Speaker 1: argue short if her would better probably pretty easily. Yeah, yeah, 428 00:24:45,600 --> 00:24:48,159 Speaker 1: I mean if she were faithing him Connor Lamb, who's 429 00:24:48,200 --> 00:24:51,720 Speaker 1: not gonna win the Democratic thing, you know, a moderate Democrat, etc. 430 00:24:52,560 --> 00:24:55,360 Speaker 1: He would cab her. I'm not so sure about John Fetterman, 431 00:24:55,400 --> 00:24:57,199 Speaker 1: because he's got his own problems. I mean, he's an 432 00:24:57,240 --> 00:25:01,159 Speaker 1: out and out socialist for one thing, and you know 433 00:25:01,520 --> 00:25:04,760 Speaker 1: he might have some problems. And again, you know, I've 434 00:25:04,760 --> 00:25:08,560 Speaker 1: studied these things. These red wave elections come along in 435 00:25:08,640 --> 00:25:11,320 Speaker 1: the first terms of presidents and have since at least 436 00:25:11,320 --> 00:25:13,760 Speaker 1: Harry Truman. I mean, I've gone back and taken a 437 00:25:13,840 --> 00:25:17,560 Speaker 1: serious look at this, and they get Claubert, you know, 438 00:25:17,720 --> 00:25:21,880 Speaker 1: slogans from Republicans like had enough in nineteen forty six 439 00:25:22,000 --> 00:25:23,959 Speaker 1: or the newt Gingrich wave. I mean, these are not 440 00:25:24,440 --> 00:25:27,720 Speaker 1: unusual what happened to Bill Clinton Ronald Reagan Clambert in 441 00:25:27,800 --> 00:25:30,720 Speaker 1: nineteen eighty two. So there's every reason to expect two 442 00:25:30,760 --> 00:25:34,240 Speaker 1: things here. Number one, the pattern will hold and that 443 00:25:34,480 --> 00:25:36,920 Speaker 1: Joe Biden will get defeated. But then two, there's Joe 444 00:25:36,960 --> 00:25:41,800 Speaker 1: Biden's personal problem situations here with inflation and the economy 445 00:25:41,840 --> 00:25:45,480 Speaker 1: and Ukraine and everybody. Combination of those two can make 446 00:25:45,520 --> 00:25:49,320 Speaker 1: it deadly for any Democrat. Jeff Lord, we love you. 447 00:25:49,480 --> 00:25:52,680 Speaker 1: Thanks for checking in giving us an update. Appreciate it. Okay, 448 00:25:53,240 --> 00:26:00,639 Speaker 1: stay tuned. Yeah, Brad in Pennsylvania. Brad, did you vote today? Brad? 449 00:26:00,680 --> 00:26:04,399 Speaker 1: How are you? Yeah? Sean? Sorry, I'm sorry, man, I'm sorry. 450 00:26:04,400 --> 00:26:06,239 Speaker 1: Can you hear me? Of course? What's up? I can 451 00:26:06,280 --> 00:26:09,560 Speaker 1: hear you? Fine? Yeah, I'm sorry, Sean. I couldn't vote. 452 00:26:09,600 --> 00:26:12,679 Speaker 1: I'm stuck here. I'm a truck driver, so I'm stuck 453 00:26:13,200 --> 00:26:16,840 Speaker 1: in the traffic all day. I just couldn't get chance 454 00:26:16,920 --> 00:26:19,160 Speaker 1: to go and vote. Man. But I wanted to really 455 00:26:19,800 --> 00:26:24,199 Speaker 1: thank you for all you do. Man. Seriously, Um, I 456 00:26:24,359 --> 00:26:27,520 Speaker 1: just have I'm very frustrated. I just have a something 457 00:26:27,560 --> 00:26:30,160 Speaker 1: to tell you, man, Like I don't understand that why 458 00:26:30,720 --> 00:26:35,160 Speaker 1: Ted Crews and these conservatives can't back Trump. I just 459 00:26:35,200 --> 00:26:37,800 Speaker 1: don't understand that why they have to go with the comick. 460 00:26:38,600 --> 00:26:40,320 Speaker 1: I don't get it. I mean, this is why that's 461 00:26:40,320 --> 00:26:43,040 Speaker 1: what's gonna happen. Oh, I guess I have no idea. 462 00:26:43,160 --> 00:26:45,159 Speaker 1: I just I did my own vetting. I didn't know. 463 00:26:45,240 --> 00:26:49,639 Speaker 1: I've never met Dave McCormick until after I long supported Oz. 464 00:26:50,320 --> 00:26:52,920 Speaker 1: Uh seemed like a nice guy, if you noticed, I've 465 00:26:52,920 --> 00:26:55,720 Speaker 1: never said a bad word about him. Um, But with 466 00:26:56,200 --> 00:26:59,280 Speaker 1: that said that, I'm putting crews out of us. It's 467 00:26:59,280 --> 00:27:01,320 Speaker 1: not him, but there are groups of people that are 468 00:27:01,359 --> 00:27:04,960 Speaker 1: now actively undermining every Trump endors candidate. I can tell 469 00:27:05,000 --> 00:27:07,120 Speaker 1: you that we have a bit of a bad connection though, 470 00:27:07,119 --> 00:27:10,480 Speaker 1: Brad Godbusher, thanks for checking in, Don Lake Ronkonkoma. What's up, 471 00:27:10,480 --> 00:27:13,720 Speaker 1: big Don? Welcome on board. Hey Sean, great, great to 472 00:27:13,760 --> 00:27:15,359 Speaker 1: talk to you again. Yea. You know, I've got to 473 00:27:15,400 --> 00:27:19,520 Speaker 1: thank you for for giving people giving candidates to your 474 00:27:19,840 --> 00:27:24,879 Speaker 1: podium to vet themselves. And I enjoyed listening to doctor Oz. 475 00:27:26,240 --> 00:27:29,840 Speaker 1: You know, he demonstrates such a confidence to get things 476 00:27:29,840 --> 00:27:33,159 Speaker 1: done and I can't think of anything bad about him. 477 00:27:33,400 --> 00:27:35,720 Speaker 1: And over the years i've seen him on television, his 478 00:27:36,280 --> 00:27:39,240 Speaker 1: record has been very, very good look. He got clovered 479 00:27:39,280 --> 00:27:42,000 Speaker 1: with forty plus million dollars of negative ads, and I 480 00:27:42,040 --> 00:27:45,679 Speaker 1: didn't recognize the guy that I know. And you know 481 00:27:45,840 --> 00:27:48,919 Speaker 1: you remember because you were with us. And when I 482 00:27:48,960 --> 00:27:51,840 Speaker 1: first went out early for Trump, I got I was 483 00:27:52,000 --> 00:27:54,640 Speaker 1: I was getting the crap kicked out of me every day, 484 00:27:54,800 --> 00:27:57,119 Speaker 1: and but I stood by my guns because I owe 485 00:27:57,280 --> 00:28:00,159 Speaker 1: this audience what I know to be true. And I 486 00:28:00,240 --> 00:28:03,160 Speaker 1: knew true. I knew the truth was Trump would govern 487 00:28:03,600 --> 00:28:07,399 Speaker 1: as a strong conservative right, and he did. You've always 488 00:28:07,400 --> 00:28:09,760 Speaker 1: been fair to have ever wanted to come on your 489 00:28:09,760 --> 00:28:11,600 Speaker 1: show and you reach out, It's not like you're waiting 490 00:28:11,640 --> 00:28:13,480 Speaker 1: for that time reach out. I would have put Kathy 491 00:28:13,480 --> 00:28:15,439 Speaker 1: on yesterday's she was willing to come on. I wouldn't 492 00:28:15,480 --> 00:28:17,320 Speaker 1: put her on, And she never got back to us. 493 00:28:17,400 --> 00:28:20,080 Speaker 1: She won't return our calls, she won't return our text. Well. 494 00:28:20,119 --> 00:28:23,000 Speaker 1: I liked doctor oz He seems to be pro energy, 495 00:28:23,119 --> 00:28:26,280 Speaker 1: pro life, pro guns, make America great. And you know 496 00:28:26,280 --> 00:28:29,879 Speaker 1: what I really enjoyed early on, during the pandemic, you 497 00:28:29,920 --> 00:28:33,120 Speaker 1: had doctor oz On, not as a candidate, as a doctor, 498 00:28:33,480 --> 00:28:38,920 Speaker 1: and he questioned these crazy COVID mandates, and he questioned 499 00:28:39,280 --> 00:28:43,640 Speaker 1: the school shut down, and he said anecdotally. The only 500 00:28:43,640 --> 00:28:46,360 Speaker 1: thing we got is HCQ at the time, and he 501 00:28:46,400 --> 00:28:49,320 Speaker 1: got clovered for it coming up, just for coming on 502 00:28:49,440 --> 00:28:51,440 Speaker 1: my show. He got the crap kicked out of him. 503 00:28:51,800 --> 00:28:54,160 Speaker 1: But he wouldn't stop because the health is You meant 504 00:28:54,160 --> 00:28:55,680 Speaker 1: too much to him and he knew the reach of 505 00:28:55,680 --> 00:28:59,760 Speaker 1: this program. Okay, well, here's another attribute that I really 506 00:28:59,760 --> 00:29:02,760 Speaker 1: had about him. He's got courage to keep coming back. 507 00:29:03,840 --> 00:29:07,600 Speaker 1: That's true confidence. I can't listen. I can't say it 508 00:29:07,680 --> 00:29:11,320 Speaker 1: strongly enough. He is in make America great again, save 509 00:29:11,360 --> 00:29:15,200 Speaker 1: America America first Conservative. That's why I supported Trump. That's 510 00:29:15,200 --> 00:29:18,400 Speaker 1: why I support doctor Oz in this race. We love you, 511 00:29:18,480 --> 00:29:21,320 Speaker 1: don We gotta roll. Appreciate the call. Sharon in Texas. 512 00:29:21,360 --> 00:29:25,240 Speaker 1: We got a minute for you. You get the podium. 513 00:29:25,280 --> 00:29:28,959 Speaker 1: Go ahead, Hi, Sean, I'm in Texas, but I listened 514 00:29:28,960 --> 00:29:32,600 Speaker 1: to all three candidates. I'm following the Pennsylvania race and 515 00:29:32,720 --> 00:29:35,720 Speaker 1: they were on the on Playing Buck show today preceding 516 00:29:35,800 --> 00:29:39,160 Speaker 1: your show, and I heard author candidates, and I have 517 00:29:39,240 --> 00:29:42,160 Speaker 1: to say this about Kathy Barnett. She talks like she 518 00:29:42,320 --> 00:29:45,720 Speaker 1: has a chip on her shoulder and she doesn't like you. 519 00:29:46,040 --> 00:29:49,120 Speaker 1: And she said something like example of one of the 520 00:29:49,200 --> 00:29:53,280 Speaker 1: things she said. I was on Sean Hannity's show seven 521 00:29:53,320 --> 00:29:58,479 Speaker 1: times before before US ever showed up, So she's just 522 00:29:58,680 --> 00:30:02,800 Speaker 1: got her. Her whole train of thought and rhetorics was 523 00:30:02,840 --> 00:30:04,959 Speaker 1: on a lot more person I liked her when she 524 00:30:05,040 --> 00:30:07,840 Speaker 1: was on, but I had no ideas that she said 525 00:30:07,920 --> 00:30:11,320 Speaker 1: and tweeted all this crazy crap. I mean, in my view, 526 00:30:11,360 --> 00:30:16,200 Speaker 1: in a general election makes her nearly it makes it 527 00:30:16,240 --> 00:30:19,440 Speaker 1: nearly impossible we would lose that seat. I think the 528 00:30:19,480 --> 00:30:21,680 Speaker 1: odds of us losing that seat would be way too 529 00:30:21,720 --> 00:30:26,640 Speaker 1: high to risk it because Democrats will take every one 530 00:30:26,640 --> 00:30:28,640 Speaker 1: of those tweets, every one of those statements, and they 531 00:30:28,680 --> 00:30:33,160 Speaker 1: will ram they will they won't pound her with them. Yeah, 532 00:30:33,240 --> 00:30:36,080 Speaker 1: I mean if I did, I would say so, Um, 533 00:30:36,200 --> 00:30:39,840 Speaker 1: not at all. You're you're right, and I don't believe. 534 00:30:39,880 --> 00:30:42,560 Speaker 1: I don't believe the story that, oh that doesn't sound 535 00:30:42,600 --> 00:30:45,760 Speaker 1: like me, even though it's on my Twitter feed. Then 536 00:30:45,800 --> 00:30:48,120 Speaker 1: why didn't you go to Twitter and say I was hacked? 537 00:30:48,720 --> 00:30:50,640 Speaker 1: And then she won't admit that. She won't even say 538 00:30:50,680 --> 00:30:53,160 Speaker 1: she's hacked, So you just you can't have it both 539 00:30:53,200 --> 00:30:55,760 Speaker 1: ways here. There's some level of dishonesty in my eyes. 540 00:30:56,600 --> 00:31:00,480 Speaker 1: UM doesn't doesn't meet my smell test um. But ultimately 541 00:31:00,640 --> 00:31:03,840 Speaker 1: that's something the people in the Commonwealth of Pennsylvania I 542 00:31:03,960 --> 00:31:07,480 Speaker 1: strongly recommend, OZ, But you will decide, and you will 543 00:31:07,520 --> 00:31:08,880 Speaker 1: get the government you deserve.