1 00:00:00,080 --> 00:00:02,679 Speaker 1: All right, News Round Up, Information overload, hour eight hundred 2 00:00:02,720 --> 00:00:04,560 Speaker 1: nine for one sean. You want to be a part 3 00:00:04,600 --> 00:00:07,680 Speaker 1: of the program and we'll get to your calls coming up. 4 00:00:08,440 --> 00:00:11,119 Speaker 1: So we're still watching the final county now going on. 5 00:00:11,360 --> 00:00:15,880 Speaker 1: Almost every county now in Pennsylvania is at around ninety 6 00:00:15,960 --> 00:00:19,800 Speaker 1: nine percent. Oz's lead is shrunk. But the question is 7 00:00:20,320 --> 00:00:23,680 Speaker 1: Willie hold on and win that Senate primary. We have 8 00:00:23,800 --> 00:00:27,240 Speaker 1: extrapolated out. I mean, I've spent an exhaustive amount of 9 00:00:27,280 --> 00:00:31,120 Speaker 1: time going county by county looking at the percentages of 10 00:00:31,240 --> 00:00:34,680 Speaker 1: votes that are out there, very minimal numbers of votes left. 11 00:00:34,960 --> 00:00:38,600 Speaker 1: I think we got over twenty five thousand out yesterday 12 00:00:38,680 --> 00:00:41,640 Speaker 1: in we got some in today, some favorite ods, some 13 00:00:41,760 --> 00:00:46,040 Speaker 1: favorite Dave McCormick. Anyway, we've done a very deep dive 14 00:00:46,320 --> 00:00:49,080 Speaker 1: what I've concluded, and I know Matt Towery was on 15 00:00:49,120 --> 00:00:51,839 Speaker 1: TV with me last night and he's concluded there's just 16 00:00:51,920 --> 00:00:54,280 Speaker 1: not enough runway or votes out there that would be 17 00:00:54,280 --> 00:00:57,320 Speaker 1: available that's going to change the outcome. I would assume 18 00:00:57,360 --> 00:01:00,560 Speaker 1: that there's going to be a recount. The law actually 19 00:01:00,560 --> 00:01:03,920 Speaker 1: requires it, I believe at zero point five percent difference. 20 00:01:04,400 --> 00:01:06,520 Speaker 1: I mean, if this doesn't show you once again, we 21 00:01:06,640 --> 00:01:09,759 Speaker 1: pointed out every time it happens that every vote counts. Well, 22 00:01:09,800 --> 00:01:13,480 Speaker 1: here we go again, anyway, Matt Towery insider Advantage poster 23 00:01:13,600 --> 00:01:18,160 Speaker 1: attorney syndicated columnist Robert Kahailey Poster, he is the head 24 00:01:18,200 --> 00:01:21,479 Speaker 1: of the Trafalgar Group. To the credit of both of them, 25 00:01:21,920 --> 00:01:24,480 Speaker 1: they told me before this race, on this show, this 26 00:01:24,640 --> 00:01:27,160 Speaker 1: is going to be a razor thin close race. They 27 00:01:27,240 --> 00:01:30,479 Speaker 1: nailed it as usual, just like they said Republicans would 28 00:01:30,520 --> 00:01:35,119 Speaker 1: lose the runoff races in January of twenty twenty one. 29 00:01:35,240 --> 00:01:38,280 Speaker 1: They told me that November of twenty twenty, after the election, 30 00:01:39,080 --> 00:01:41,959 Speaker 1: just like they nailed the presidential elections in both twenty 31 00:01:42,000 --> 00:01:44,959 Speaker 1: sixteen and twenty twenty. And they both act independently. I 32 00:01:45,000 --> 00:01:47,960 Speaker 1: know they're friendly, but they're independent in terms of their 33 00:01:47,960 --> 00:01:51,160 Speaker 1: own polling methodology. They seem to get it right where 34 00:01:51,160 --> 00:01:53,440 Speaker 1: so many others seem to get it wrong. All Right, 35 00:01:53,480 --> 00:01:56,040 Speaker 1: so I've done my deep dive. Matt Towery, you were 36 00:01:56,080 --> 00:01:59,120 Speaker 1: on TV last night, you gave your analysis. We have 37 00:01:59,200 --> 00:02:01,760 Speaker 1: some updates to day, but there does not seem to 38 00:02:01,800 --> 00:02:06,680 Speaker 1: be enough outstanding votes even if you extrapolate out the 39 00:02:06,720 --> 00:02:13,200 Speaker 1: percentage of difference. Let's say a county's nine reported, and 40 00:02:13,280 --> 00:02:16,760 Speaker 1: it's a favors Dave McCormick by say five. Even if 41 00:02:16,800 --> 00:02:22,000 Speaker 1: you double the remaining votes, which is somewhat tiny, still 42 00:02:22,040 --> 00:02:24,800 Speaker 1: oswins under any scenario that I've come up with. But 43 00:02:24,880 --> 00:02:28,920 Speaker 1: maybe I'm wrong. I'm not well. One thing, Sean is 44 00:02:28,919 --> 00:02:32,000 Speaker 1: that we talked about last night. There's a difference between 45 00:02:32,080 --> 00:02:35,840 Speaker 1: votes outstanding and Republican votes outstanding, and so in a 46 00:02:35,880 --> 00:02:38,320 Speaker 1: lot of these counties we're hearing old there were so 47 00:02:38,400 --> 00:02:41,640 Speaker 1: many thousands of votes outstanding, but when you called it down, 48 00:02:41,760 --> 00:02:44,640 Speaker 1: there were just a smaller percentage of Republican votes outstanding. 49 00:02:44,639 --> 00:02:48,400 Speaker 1: And that's scout smaller night. So these numbers are coming 50 00:02:48,440 --> 00:02:53,120 Speaker 1: down by that. There's not a huge military vote outstanding. 51 00:02:53,120 --> 00:02:55,480 Speaker 1: We established that last night. You're not seeing it at 52 00:02:55,480 --> 00:02:58,760 Speaker 1: all around the House, and votes are Rooke requested and 53 00:02:58,880 --> 00:03:01,920 Speaker 1: some of those were Democratic. And so what we're down 54 00:03:01,919 --> 00:03:05,280 Speaker 1: to now are a few remaining counties. Some are gonna 55 00:03:05,320 --> 00:03:08,200 Speaker 1: go Ozz, so are gonna go McCormick. They may trend 56 00:03:08,280 --> 00:03:10,280 Speaker 1: a little more McCormick because a few of the areas 57 00:03:10,320 --> 00:03:13,160 Speaker 1: are a little heavier that he'd get better, but there 58 00:03:13,400 --> 00:03:16,160 Speaker 1: is not enough vote based on everything I've seen that 59 00:03:16,320 --> 00:03:19,799 Speaker 1: can bring Dave McCormick up ahead of OZ, or can 60 00:03:19,840 --> 00:03:23,000 Speaker 1: take OZ to where he's trailing at this point. I 61 00:03:23,000 --> 00:03:27,320 Speaker 1: would say that the floor this race for OZ is 62 00:03:27,360 --> 00:03:30,560 Speaker 1: like five to six hundred votes as a marking of victory, 63 00:03:30,639 --> 00:03:32,280 Speaker 1: and maybe he could get a little higher than that. 64 00:03:33,280 --> 00:03:35,839 Speaker 1: He's come down a little bit overnight, but not that much. 65 00:03:36,080 --> 00:03:38,680 Speaker 1: What should take Robert, I see it the same way 66 00:03:39,080 --> 00:03:41,560 Speaker 1: you know. We do have absentee ballots that are out. 67 00:03:42,680 --> 00:03:45,119 Speaker 1: I believe they can have one of their postmark Tuesday, 68 00:03:45,200 --> 00:03:46,960 Speaker 1: so that there may be some stuff coming back and 69 00:03:47,080 --> 00:03:50,960 Speaker 1: talking about the military vote, right, well, any absentees, if 70 00:03:50,960 --> 00:03:56,280 Speaker 1: they were a few statesmark they could get in next Tuesday. Now, 71 00:03:56,680 --> 00:03:58,560 Speaker 1: I wouldn't expect that it's going to be many, because 72 00:03:58,560 --> 00:04:01,440 Speaker 1: it's just not a state where you have a tremendous 73 00:04:01,440 --> 00:04:04,000 Speaker 1: effort on that. And most people who voted absentee actually 74 00:04:04,360 --> 00:04:08,600 Speaker 1: voted very early, even before Trump's endorsement, which explains McCormick 75 00:04:08,680 --> 00:04:11,040 Speaker 1: strength in the absentees. So I don't think to me 76 00:04:11,080 --> 00:04:13,640 Speaker 1: a lot, but we do probably should considered us as 77 00:04:13,640 --> 00:04:15,600 Speaker 1: well as we look at it. One thing that really 78 00:04:15,640 --> 00:04:18,880 Speaker 1: stands out to me in this race, whether people voted 79 00:04:19,680 --> 00:04:23,599 Speaker 1: for Oz who I endorsed because I vetted him really hard. 80 00:04:23,800 --> 00:04:27,840 Speaker 1: But if you look at doctor Oz, Dave McCormick, and 81 00:04:28,360 --> 00:04:31,560 Speaker 1: Kathy Barnette, who blames me for her loss, it's I 82 00:04:32,240 --> 00:04:34,359 Speaker 1: did not take over her Twitter account, guys, just in 83 00:04:34,400 --> 00:04:37,520 Speaker 1: case you thought that might have been a possibility. But 84 00:04:37,600 --> 00:04:40,760 Speaker 1: if you look at it fully, eighty seven eighty eight 85 00:04:40,800 --> 00:04:46,760 Speaker 1: percent of the Republican vase went for candidates that proclaimed 86 00:04:46,800 --> 00:04:50,359 Speaker 1: they were MAGA, they were America first, they were huge 87 00:04:50,400 --> 00:04:55,039 Speaker 1: Trump supporters. I mean that is how do we interpret that? 88 00:04:55,120 --> 00:04:59,520 Speaker 1: What does that mean about Donald Trump's I guess popularity 89 00:04:59,600 --> 00:05:02,080 Speaker 1: not just in Pennsylvania, because we're seeing it anywhere everywhere. 90 00:05:02,080 --> 00:05:04,560 Speaker 1: He's eighty three and two in terms of his endorsements 91 00:05:04,720 --> 00:05:08,960 Speaker 1: OS wins, it's eighty four and two. Um, what does 92 00:05:09,000 --> 00:05:11,080 Speaker 1: that mean, Matt Towery, It sounds to me like this 93 00:05:11,160 --> 00:05:15,440 Speaker 1: is Donald Trump's party. Oh, It's definitely still Donald Trump's party. 94 00:05:16,400 --> 00:05:17,960 Speaker 1: You may see a bump on the road to Georgia 95 00:05:18,200 --> 00:05:21,320 Speaker 1: that you talked about too much, but generally speaking, it's 96 00:05:21,360 --> 00:05:23,760 Speaker 1: his party in every state. And every time we pull 97 00:05:24,360 --> 00:05:28,400 Speaker 1: Robert polls independent we can meet, we usually add what's 98 00:05:28,400 --> 00:05:31,640 Speaker 1: your favorable unfavorable of Donald Trump? And all these states 99 00:05:31,680 --> 00:05:35,039 Speaker 1: he's running seventy, seventy five, even eighty. I mean, this 100 00:05:35,240 --> 00:05:38,159 Speaker 1: man still owns the party and he can attract crown, 101 00:05:38,640 --> 00:05:40,840 Speaker 1: he can get people out to vote. We get the 102 00:05:40,960 --> 00:05:43,520 Speaker 1: tension like no one else can. And I think Robert 103 00:05:43,560 --> 00:05:46,919 Speaker 1: would agree that when he's on a ballot against the Democrat, 104 00:05:47,240 --> 00:05:50,840 Speaker 1: he pulls ten million more votes than anyone else would. 105 00:05:50,839 --> 00:05:53,320 Speaker 1: I mean, he's a magnet. Now he may also attract 106 00:05:53,360 --> 00:05:56,360 Speaker 1: additional votes on the other side. I don't think that's 107 00:05:56,360 --> 00:05:59,560 Speaker 1: always many, as we saw, but that's the day another day. 108 00:06:00,080 --> 00:06:02,680 Speaker 1: But but he is. He is still the Republican Party, 109 00:06:02,720 --> 00:06:05,760 Speaker 1: and people still want his endorsement very badly. Robert, what's 110 00:06:05,800 --> 00:06:08,040 Speaker 1: your take on it? When you look at what happened 111 00:06:08,120 --> 00:06:12,000 Speaker 1: in Ohio and you look at what happened in Pennsylvania, 112 00:06:12,160 --> 00:06:14,760 Speaker 1: you see it's just a vast majority of these voters 113 00:06:14,800 --> 00:06:18,120 Speaker 1: are on his side. That the only times that you're 114 00:06:18,120 --> 00:06:19,960 Speaker 1: seeing any kind of a Trump bump in the road 115 00:06:20,080 --> 00:06:22,599 Speaker 1: is usually a problem with the candidate, you know, whether 116 00:06:22,640 --> 00:06:26,320 Speaker 1: you whether, and the media just exploits those and acts like, 117 00:06:26,560 --> 00:06:29,320 Speaker 1: oh this this is a mixed record. I was enjoying 118 00:06:29,640 --> 00:06:33,520 Speaker 1: watching yesterday. Have they said that Trump Trump likely to 119 00:06:33,520 --> 00:06:36,680 Speaker 1: win in Pennsylvania, doesn't do as well in North Carolina. 120 00:06:36,720 --> 00:06:39,640 Speaker 1: I'm like, did you miss that his candidate for US 121 00:06:39,720 --> 00:06:42,160 Speaker 1: and it got fifty plus percent of the vote and 122 00:06:42,200 --> 00:06:45,919 Speaker 1: the only needed thirty. I mean, they're looking at Cawthorne 123 00:06:45,960 --> 00:06:49,240 Speaker 1: as an example of a flawed candidate, and they're trying 124 00:06:49,240 --> 00:06:52,359 Speaker 1: to extrapolate the entire state of North Carolina. No, this 125 00:06:52,520 --> 00:06:55,440 Speaker 1: is no question. I think there's a question as to 126 00:06:55,520 --> 00:06:57,840 Speaker 1: whether that was a full throat to an endorsement when 127 00:06:57,839 --> 00:07:01,280 Speaker 1: he said I hope people couldn't look past it and 128 00:07:01,320 --> 00:07:04,039 Speaker 1: forgive him and understanding he's going through a tough time. 129 00:07:04,440 --> 00:07:07,400 Speaker 1: But I didn't hear the words. Go Vo, Cawthorne, You're 130 00:07:07,400 --> 00:07:09,920 Speaker 1: exactly right, sound on one of the points if most 131 00:07:09,960 --> 00:07:13,400 Speaker 1: people have ever seen a Trump endorsement. He llutates with 132 00:07:13,440 --> 00:07:16,440 Speaker 1: the sentence of this person has my complete and total endorsement. 133 00:07:16,680 --> 00:07:19,040 Speaker 1: I didn't see that either, but the media would treat 134 00:07:19,160 --> 00:07:22,160 Speaker 1: it as if that's exactly what happened. Well, it seems 135 00:07:22,160 --> 00:07:24,560 Speaker 1: to me that it's very obvious now with the Club 136 00:07:24,600 --> 00:07:27,640 Speaker 1: for Growth going into Ohio and what they did in 137 00:07:27,680 --> 00:07:31,080 Speaker 1: the final days, sending millions and millions of dollars into 138 00:07:31,200 --> 00:07:35,280 Speaker 1: Kathy Barnett's campaign because I think it was extremely dangerous. 139 00:07:35,320 --> 00:07:38,880 Speaker 1: I came to the conclusion that Kathy Barnett in the 140 00:07:38,960 --> 00:07:42,240 Speaker 1: general election based on the very thing she said and 141 00:07:42,280 --> 00:07:45,680 Speaker 1: the things that she tweeted. It was so incendiary, and 142 00:07:45,680 --> 00:07:49,200 Speaker 1: there were so many incendiary things that she said that 143 00:07:49,280 --> 00:07:52,320 Speaker 1: I didn't think she'd be electable because I know the Democrats, 144 00:07:52,640 --> 00:07:58,160 Speaker 1: they would be pounding her every single solitary day. I 145 00:07:58,200 --> 00:08:01,920 Speaker 1: think people would think she comes off, to me, is 146 00:08:01,960 --> 00:08:05,160 Speaker 1: pretty extreme in her statements, and I just didn't think 147 00:08:05,160 --> 00:08:07,360 Speaker 1: she had the ability to win a general election. And 148 00:08:07,440 --> 00:08:11,760 Speaker 1: this seat is too darn important. Matt powery Well, I mean, 149 00:08:11,960 --> 00:08:14,559 Speaker 1: Clufford growth wasn't by itself. I mean, there are plenty 150 00:08:14,600 --> 00:08:17,200 Speaker 1: out there who have been scheming and working try to 151 00:08:17,240 --> 00:08:21,280 Speaker 1: take Trump down forty various reasons, and we're seeing a 152 00:08:21,360 --> 00:08:24,680 Speaker 1: play out in other states as well. What was shocking was, 153 00:08:24,880 --> 00:08:26,600 Speaker 1: and I went to everyone to make one point here, 154 00:08:26,840 --> 00:08:30,280 Speaker 1: no Oz got the endorsement of Trump relatively late in 155 00:08:30,320 --> 00:08:32,920 Speaker 1: this ball game. What would it have been like had 156 00:08:33,200 --> 00:08:36,520 Speaker 1: that endorsement come earlier, before a lot of the roots 157 00:08:36,840 --> 00:08:39,959 Speaker 1: we're already you know, baked in and people have made 158 00:08:39,960 --> 00:08:43,200 Speaker 1: their decisions. I don't know, but I think it showed 159 00:08:43,240 --> 00:08:46,080 Speaker 1: his strength because when he got into it, Oz zoomed 160 00:08:46,160 --> 00:08:48,440 Speaker 1: up the chart. Now, I would say one other thing. 161 00:08:48,520 --> 00:08:53,520 Speaker 1: Oz had a phenominal amounts of negative ads running in 162 00:08:53,800 --> 00:08:57,680 Speaker 1: and to be able to withstand that forty plus million dollars, Matt, 163 00:08:57,760 --> 00:09:00,800 Speaker 1: that's a lot of money. I've I looked at a 164 00:09:00,800 --> 00:09:02,480 Speaker 1: lot of these ads and I have no idea who 165 00:09:02,480 --> 00:09:04,480 Speaker 1: paid for them all a lot of super Pac money. 166 00:09:05,120 --> 00:09:08,400 Speaker 1: And my conclusion was, I don't even recognize the guy 167 00:09:08,440 --> 00:09:10,880 Speaker 1: that I know. I mean, they were It was so 168 00:09:10,960 --> 00:09:13,560 Speaker 1: deceptive to me. If they did that to any of us, 169 00:09:13,600 --> 00:09:15,559 Speaker 1: you want to crawl under the bed behind. I mean, 170 00:09:15,600 --> 00:09:18,480 Speaker 1: it just just you know, it's impossible to withstand that. 171 00:09:18,520 --> 00:09:20,920 Speaker 1: I've been in campaigns where they just barage and you 172 00:09:21,040 --> 00:09:23,720 Speaker 1: drop up quickly. Oz stood at A because of Trump 173 00:09:23,720 --> 00:09:26,920 Speaker 1: and B because Oz was a very skilled candidate, one 174 00:09:26,960 --> 00:09:29,000 Speaker 1: of the most skilled candidates by the way I've seen 175 00:09:29,480 --> 00:09:33,800 Speaker 1: in the last few decades. It's very very good, and 176 00:09:33,840 --> 00:09:36,440 Speaker 1: I think it's going to bode well for the cancers 177 00:09:36,440 --> 00:09:39,680 Speaker 1: in Pennsylvania when he went the nomination as soon he does, 178 00:09:40,360 --> 00:09:43,079 Speaker 1: because he is the most selectable and the most likely 179 00:09:43,120 --> 00:09:44,959 Speaker 1: to be able to take on the Democrat who is 180 00:09:45,040 --> 00:09:49,760 Speaker 1: extreme left as we know, and carry that space. You know, 181 00:09:49,840 --> 00:09:53,000 Speaker 1: some people didn't like my statement, and I agree with you. 182 00:09:53,240 --> 00:09:56,240 Speaker 1: It was William at Buckley that said, you want the 183 00:09:56,240 --> 00:09:59,760 Speaker 1: most conservative that can win, and that was my determination. 184 00:09:59,800 --> 00:10:03,200 Speaker 1: As relates to doctor Oz. I think the large part is, 185 00:10:03,360 --> 00:10:05,800 Speaker 1: you know, you look at somebody's Q score and television, 186 00:10:06,160 --> 00:10:09,480 Speaker 1: his like versus dislike is through the roof with every 187 00:10:09,520 --> 00:10:14,760 Speaker 1: demographic Robert Kahley. That is not something to ignore. It's not. 188 00:10:14,880 --> 00:10:18,360 Speaker 1: And another thing that when people talk about the part 189 00:10:18,559 --> 00:10:21,199 Speaker 1: about Trump that really appealed to them going back to 190 00:10:21,320 --> 00:10:24,839 Speaker 1: twenty sixteen, it was this he's a counterpuncher that he 191 00:10:25,000 --> 00:10:26,800 Speaker 1: knows how to hit back. And if you look at 192 00:10:26,800 --> 00:10:30,320 Speaker 1: what the TVs two guys have in common, actually go 193 00:10:30,320 --> 00:10:34,239 Speaker 1: ahead and had Budd to this too. These people were attacked. 194 00:10:35,240 --> 00:10:39,480 Speaker 1: Jakie Evans was attacked viciously as well as as Bud 195 00:10:39,880 --> 00:10:43,120 Speaker 1: and they CounterPunch and came back. And I think that's 196 00:10:43,360 --> 00:10:46,640 Speaker 1: you know, what Trump was looking for. What we're publicans 197 00:10:46,679 --> 00:10:49,559 Speaker 1: are looking for is not people that are gonna crumble 198 00:10:49,559 --> 00:10:51,240 Speaker 1: when somebody hits them with you because they have a 199 00:10:51,240 --> 00:10:53,319 Speaker 1: glass job. With people who know how to hit back 200 00:10:53,960 --> 00:10:57,600 Speaker 1: and at the same time maintain that likability. And anybody 201 00:10:57,640 --> 00:11:00,760 Speaker 1: who's seen a general election poll knows that doctor is 202 00:11:00,800 --> 00:11:03,319 Speaker 1: a walkaway favorite, which is why he's a threat to 203 00:11:03,400 --> 00:11:07,800 Speaker 1: the Democrats and so many Republicans. But their combinability to Counterparge, 204 00:11:07,840 --> 00:11:09,960 Speaker 1: I think is really important part of this. All right, 205 00:11:10,040 --> 00:11:12,600 Speaker 1: quick break more with our posters Matt Towery and Robert 206 00:11:12,679 --> 00:11:15,440 Speaker 1: Kaheley next, then won't get to your calls eight hundred 207 00:11:15,520 --> 00:11:17,160 Speaker 1: nine for one Sean you want to be a part 208 00:11:17,160 --> 00:11:25,920 Speaker 1: of the program, I would continue our posters Matt Towery, 209 00:11:26,080 --> 00:11:28,959 Speaker 1: Robert Kaheleia with us. We just had David to Purdue 210 00:11:29,000 --> 00:11:32,640 Speaker 1: on the on the show, UM, and is polling to 211 00:11:32,720 --> 00:11:36,679 Speaker 1: be very Frank is pretty atrocious. UM. And it looks 212 00:11:36,679 --> 00:11:40,000 Speaker 1: like Brian kemp is according to late one latest polls 213 00:11:40,080 --> 00:11:42,480 Speaker 1: at sixty percent. I don't I'm not sure I buy 214 00:11:42,520 --> 00:11:46,000 Speaker 1: that number. That seems like an outlier. UM. But more importantly, 215 00:11:46,360 --> 00:11:50,199 Speaker 1: David Purdue is just not catching fire. UM. And I'm 216 00:11:50,240 --> 00:11:53,120 Speaker 1: a little bewildered. Both of you are from Georgia, so 217 00:11:53,280 --> 00:11:55,560 Speaker 1: you would know better than I. I lived there four years. 218 00:11:55,600 --> 00:11:58,000 Speaker 1: I thought I knew a thing or two about Georgia politics. 219 00:11:58,000 --> 00:12:00,240 Speaker 1: Things have changed quite a bit since I left twenty 220 00:12:00,280 --> 00:12:04,760 Speaker 1: six years ago. But Matt Towery, I don't even know 221 00:12:04,800 --> 00:12:06,480 Speaker 1: if he can get to a runoff at this point. 222 00:12:06,840 --> 00:12:09,360 Speaker 1: I tell people now, I was a native Georgia and 223 00:12:09,440 --> 00:12:11,360 Speaker 1: my family for a long long time. I know it 224 00:12:11,480 --> 00:12:14,400 Speaker 1: backwards and boards. I joked to my friends and now 225 00:12:14,440 --> 00:12:16,360 Speaker 1: that I lived in Florida when I crossed them to Georgia, 226 00:12:16,440 --> 00:12:18,199 Speaker 1: they need to sign and change the sign and say 227 00:12:18,280 --> 00:12:21,560 Speaker 1: welcome to Georgia. The state of chaos, because the political 228 00:12:21,640 --> 00:12:24,720 Speaker 1: landscape there is just completely like a zoo. I never 229 00:12:24,760 --> 00:12:26,760 Speaker 1: thought I would see. It's been so out of control. 230 00:12:27,760 --> 00:12:30,320 Speaker 1: You have so many different demographics who work. You know, 231 00:12:30,360 --> 00:12:31,839 Speaker 1: so many different groups who work. Do you want to 232 00:12:31,840 --> 00:12:36,040 Speaker 1: talk about establishment and anti Trump? Oh? Boy? There have 233 00:12:36,160 --> 00:12:38,720 Speaker 1: been groups in Georgia working al for the last month 234 00:12:38,720 --> 00:12:40,920 Speaker 1: and a half two months, and I have to say, 235 00:12:41,000 --> 00:12:44,400 Speaker 1: I think people not so far away from mister View himself. 236 00:12:44,440 --> 00:12:47,840 Speaker 1: I'm not talking about him, but his campaign. I've wondered, 237 00:12:48,040 --> 00:12:50,520 Speaker 1: did they really want to win? Because he was not 238 00:12:50,600 --> 00:12:54,080 Speaker 1: on television for the last two weeks. Now, how can 239 00:12:54,160 --> 00:12:57,000 Speaker 1: you want to win? You expect the president to put 240 00:12:57,000 --> 00:12:58,920 Speaker 1: the money in, but you gotta want to win too. 241 00:12:59,360 --> 00:13:01,959 Speaker 1: That doesn't mean you can't win. I don't believe these 242 00:13:01,960 --> 00:13:04,520 Speaker 1: polls are right, but I do believe that when you're 243 00:13:04,520 --> 00:13:07,880 Speaker 1: bombarded by someone like Bryan Camping's very skilled, very polished, 244 00:13:07,880 --> 00:13:11,240 Speaker 1: had a great session legislative session, no matter how bad 245 00:13:11,280 --> 00:13:14,000 Speaker 1: things were back in twenty twenty, and they're asked. When 246 00:13:14,000 --> 00:13:16,920 Speaker 1: you're bombarded on every TV station and you have no 247 00:13:16,960 --> 00:13:20,080 Speaker 1: answer in your campaigns, campaigning in little bit of towns 248 00:13:20,360 --> 00:13:23,840 Speaker 1: where the votes aren't, it's very hard to imagine that 249 00:13:23,960 --> 00:13:26,200 Speaker 1: you can pull off that sort of We give the 250 00:13:26,280 --> 00:13:29,800 Speaker 1: last word to Robert. You know, we were just talking 251 00:13:29,840 --> 00:13:33,760 Speaker 1: about how much difference money makes. It cannot be ignored 252 00:13:33,960 --> 00:13:38,079 Speaker 1: to the extent that Purdue has been over I mean outstanding. 253 00:13:38,480 --> 00:13:41,040 Speaker 1: It's not even close to mean it's excess of twenty 254 00:13:41,120 --> 00:13:46,280 Speaker 1: million dollars to like under four it's not. It's one 255 00:13:46,320 --> 00:13:48,880 Speaker 1: thing to CounterPunch, but it's another thing to counterpunchs when 256 00:13:48,880 --> 00:13:52,960 Speaker 1: you don't you don't have anything. It is the amount 257 00:13:52,960 --> 00:13:55,400 Speaker 1: of Republicans that have come into there that you know 258 00:13:55,440 --> 00:13:58,280 Speaker 1: that you're having the Republican governor spending money. I mean, 259 00:13:58,400 --> 00:14:02,560 Speaker 1: it doesn't make any sense, but you could certainly understand 260 00:14:02,600 --> 00:14:05,679 Speaker 1: how you could be so far behind when when you 261 00:14:05,720 --> 00:14:09,240 Speaker 1: have are being outspit to that degree, and that I 262 00:14:09,280 --> 00:14:11,720 Speaker 1: think that's been a problem since the very get go 263 00:14:11,800 --> 00:14:14,640 Speaker 1: of this thing. It had just been underfunded and Kemp's 264 00:14:14,640 --> 00:14:19,080 Speaker 1: had that expectation of an incumbent governor and the only 265 00:14:19,200 --> 00:14:21,160 Speaker 1: the only thing that they could very will be going on, 266 00:14:21,160 --> 00:14:23,440 Speaker 1: aren't there There could be a hidden Trump vote, a 267 00:14:23,480 --> 00:14:27,080 Speaker 1: slot voter who because they're running against an establishment, and Kemp, 268 00:14:27,120 --> 00:14:29,960 Speaker 1: who's known to be a little vindictive, are hesitant to 269 00:14:29,960 --> 00:14:32,320 Speaker 1: say who. Therefore, in the polls, we've certainly seen it. 270 00:14:32,840 --> 00:14:35,560 Speaker 1: We've seen them just not choose not to participate in polls. 271 00:14:36,240 --> 00:14:39,120 Speaker 1: We saw it with some Trump voters in twenty twenties. 272 00:14:39,160 --> 00:14:43,040 Speaker 1: So it is understandable though the spending has just been 273 00:14:43,320 --> 00:14:46,600 Speaker 1: outrageous on one side versus the other. And there's a 274 00:14:46,640 --> 00:14:49,160 Speaker 1: reason that there's that kind of money. All right, both 275 00:14:49,200 --> 00:14:53,400 Speaker 1: of you appreciate your insight into all things and Matt 276 00:14:53,400 --> 00:14:58,720 Speaker 1: Towery insider advantage, Robert Kahailey Trafalgar or posters. We've got 277 00:14:58,720 --> 00:15:00,160 Speaker 1: to end it right there. When we come back, we'll 278 00:15:00,200 --> 00:15:02,080 Speaker 1: hit the phones toll free. It's eight hundred nine for 279 00:15:02,240 --> 00:15:03,720 Speaker 1: one sean. You want to be a part of the 280 00:15:03,760 --> 00:15:33,800 Speaker 1: program exposing left wing media bias. No stone left unturned 281 00:15:34,000 --> 00:15:37,080 Speaker 1: at the Sean Hannity Show is back on the air, 282 00:15:38,360 --> 00:15:39,880 Speaker 1: all right, twenty five to the top of the hour 283 00:15:39,920 --> 00:15:41,600 Speaker 1: before we get to our calls. All right, So this 284 00:15:41,720 --> 00:15:46,040 Speaker 1: was a nominee hearing yesterday. The question is whether or 285 00:15:46,080 --> 00:15:51,200 Speaker 1: not men can be pregnant and have abortions. Good morning, 286 00:15:51,640 --> 00:15:54,280 Speaker 1: and thank you to the House Judiciary Committee for inviting 287 00:15:54,320 --> 00:15:58,000 Speaker 1: me to provide testimony today. My name is Amy Adam 288 00:15:58,080 --> 00:16:00,520 Speaker 1: Bide are you she her pronouns? And I'm a we 289 00:16:00,640 --> 00:16:05,000 Speaker 1: testify abortion storyteller and the executive director of a VOW, 290 00:16:05,320 --> 00:16:09,560 Speaker 1: an organization that strives for unrestricted abortion care and reproductive 291 00:16:09,640 --> 00:16:14,400 Speaker 1: rights for all Texans through community building, education, and political evocacy. 292 00:16:15,240 --> 00:16:19,960 Speaker 1: I believe that everyone can identify for themselves. Do you 293 00:16:20,000 --> 00:16:24,120 Speaker 1: believe then, that men can become pregnant and have abortions? Yes? 294 00:16:26,080 --> 00:16:29,200 Speaker 1: All right, so that's the question and answer. And I 295 00:16:29,280 --> 00:16:31,840 Speaker 1: don't know, Linda, I just don't keep up with this stuff. 296 00:16:31,840 --> 00:16:35,400 Speaker 1: I'm gonna be very very honest. Is that medically possible? 297 00:16:37,560 --> 00:16:41,960 Speaker 1: I do not believe that there is a biological or 298 00:16:42,120 --> 00:16:47,680 Speaker 1: medical way for a man to give birth. I mean 299 00:16:47,840 --> 00:16:51,120 Speaker 1: what's really amazing about this? And I'm paying very very 300 00:16:51,120 --> 00:16:53,520 Speaker 1: close attention to them. So I'm watching this, and do 301 00:16:53,560 --> 00:16:56,480 Speaker 1: you have this Democratic witness testifying before the House Judiciary 302 00:16:56,480 --> 00:16:59,640 Speaker 1: Committee on Abortion Rights declaring that men can get pregnant 303 00:16:59,640 --> 00:17:01,640 Speaker 1: and have a abortions. And I'm like, all right, No, 304 00:17:01,760 --> 00:17:04,720 Speaker 1: woman's name is Amy. I can't pronounce her last name. 305 00:17:04,760 --> 00:17:08,680 Speaker 1: Executive director of the abortion rights nonprofit of how Texas 306 00:17:09,240 --> 00:17:11,760 Speaker 1: was asked by Congressman Dan Bishop to define what a 307 00:17:11,800 --> 00:17:14,280 Speaker 1: woman is, and she said, I believe everyone can identify 308 00:17:14,320 --> 00:17:17,120 Speaker 1: for themselves. Do you believe that men can become pregnant 309 00:17:17,160 --> 00:17:21,520 Speaker 1: and have abortions? And she answers yes. The remarks followed 310 00:17:21,560 --> 00:17:25,680 Speaker 1: a pretty tense exchange between Bishop and another Democratic witness 311 00:17:25,680 --> 00:17:29,680 Speaker 1: who was similarly asked to define what a woman is, 312 00:17:30,240 --> 00:17:33,040 Speaker 1: Doctor Robinson. I noticed, and you're written testimony. You said 313 00:17:33,080 --> 00:17:37,639 Speaker 1: you use she her pronouns. You're a medical doctor. What 314 00:17:37,840 --> 00:17:42,439 Speaker 1: is a woman anyway? Bishop asked Robinson, an obgyn and 315 00:17:42,600 --> 00:17:46,280 Speaker 1: board member of the Physician's Reproductive Health I think it's 316 00:17:46,280 --> 00:17:49,040 Speaker 1: all important we educate people like you about why we're 317 00:17:49,080 --> 00:17:51,720 Speaker 1: doing the things that we do. And so the reason 318 00:17:51,800 --> 00:17:54,880 Speaker 1: that I use she and her pronouns, because I understand 319 00:17:54,880 --> 00:17:58,520 Speaker 1: that there are people become pregnant that may not identify 320 00:17:58,640 --> 00:18:01,840 Speaker 1: that way. And I think it's discriminatory to speak to 321 00:18:01,880 --> 00:18:04,640 Speaker 1: people or call them in such a way as they 322 00:18:04,840 --> 00:18:06,800 Speaker 1: desired not to be called. Or you're going to answer 323 00:18:06,800 --> 00:18:09,000 Speaker 1: my question, he asked, I'm a woman, and I will 324 00:18:09,040 --> 00:18:12,199 Speaker 1: ask you which pronouns do you use? And if you 325 00:18:12,240 --> 00:18:14,760 Speaker 1: tell me that you use she and her pronouns, I'm 326 00:18:14,760 --> 00:18:16,359 Speaker 1: going to respect that. Or how you want me to 327 00:18:16,359 --> 00:18:19,000 Speaker 1: address you. I mean, what else was he supposed to say? Now, 328 00:18:19,320 --> 00:18:21,240 Speaker 1: I did a little bit of research. You might be 329 00:18:21,240 --> 00:18:24,440 Speaker 1: a surprised, Linda, And despite the use, I didn't hear 330 00:18:24,480 --> 00:18:29,159 Speaker 1: this term until yesterday and today, the term birthing persons. 331 00:18:29,200 --> 00:18:32,840 Speaker 1: There is no data forthcoming. The federal government elected leaders 332 00:18:33,400 --> 00:18:37,880 Speaker 1: have now brought in this new inclusivity language called birthing 333 00:18:37,960 --> 00:18:41,800 Speaker 1: person as opposed to pregnant woman as opposed to mother. 334 00:18:42,000 --> 00:18:44,840 Speaker 1: Apparently it's been out there for years, but not exactly 335 00:18:44,880 --> 00:18:48,800 Speaker 1: my area of expertise. Well, I have a few comments 336 00:18:48,800 --> 00:18:52,119 Speaker 1: on this. The hard question about this is when you 337 00:18:52,200 --> 00:18:55,800 Speaker 1: say that someone is a birthing person, or you say 338 00:18:55,880 --> 00:19:00,800 Speaker 1: someone is chest feeding as opposed to breast feeding, which 339 00:19:00,880 --> 00:19:02,879 Speaker 1: there have been several articles on all right, but I'm 340 00:19:02,920 --> 00:19:06,399 Speaker 1: asking him a specific question. Can men, if they go 341 00:19:06,480 --> 00:19:10,440 Speaker 1: through these surgeries, can they breastfeed a child? They cannot 342 00:19:10,640 --> 00:19:14,520 Speaker 1: because the body needs the reproductive organs inside of your 343 00:19:14,560 --> 00:19:19,199 Speaker 1: body to produce milk. Your body creates milk from the 344 00:19:19,280 --> 00:19:22,080 Speaker 1: hormones that come from the child. For example, when a 345 00:19:22,119 --> 00:19:24,360 Speaker 1: mother is breastfeeding, which I did for over a year 346 00:19:24,400 --> 00:19:27,040 Speaker 1: of Liam's life when he was a baby, I would 347 00:19:27,080 --> 00:19:31,159 Speaker 1: literally produce milk because my body was timed to what 348 00:19:31,280 --> 00:19:33,600 Speaker 1: he needed. I could my body could sense when he 349 00:19:33,680 --> 00:19:35,320 Speaker 1: was hungry, and I would start producing milk. I'm like, 350 00:19:35,320 --> 00:19:36,800 Speaker 1: I got a breastfeed him. I have to do it now. 351 00:19:37,000 --> 00:19:39,720 Speaker 1: I'm full. I'm ready. Any woman whose breastfed will understand 352 00:19:39,760 --> 00:19:42,679 Speaker 1: what I am talking about. Okay, you know what, I 353 00:19:42,720 --> 00:19:44,879 Speaker 1: gotta stick to my lane, stay in my lane. I 354 00:19:45,000 --> 00:19:47,960 Speaker 1: just and I'll be honest. I want to be respectful 355 00:19:48,000 --> 00:19:50,760 Speaker 1: of people. I have no intention of just purposefully going 356 00:19:50,760 --> 00:19:55,480 Speaker 1: out there and offending people. We've got so many important 357 00:19:55,480 --> 00:19:57,560 Speaker 1: issues to deal with, which we've been talking about all 358 00:19:57,560 --> 00:20:01,680 Speaker 1: throughout the day, and I I had just never heard 359 00:20:01,720 --> 00:20:04,920 Speaker 1: of that before. I would ask, you know, how what 360 00:20:04,920 --> 00:20:07,120 Speaker 1: what two people. Does it take to produce a child? 361 00:20:07,280 --> 00:20:09,720 Speaker 1: It takes a man and a woman. It takes meal organs. 362 00:20:09,560 --> 00:20:12,719 Speaker 1: That's not changed as far as has not changed. So 363 00:20:12,760 --> 00:20:14,760 Speaker 1: if there are is there, are there a new set 364 00:20:14,760 --> 00:20:18,000 Speaker 1: of organs that are now creating children that are reproducing? 365 00:20:18,000 --> 00:20:21,199 Speaker 1: Are there are there new sets of reproductive systems that 366 00:20:21,240 --> 00:20:25,880 Speaker 1: are berthing children? Not that I'm aware of. You want, 367 00:20:25,920 --> 00:20:27,880 Speaker 1: but it's still the same. I think down the road 368 00:20:28,320 --> 00:20:35,199 Speaker 1: this could be morally ethically discussed and debated, but I 369 00:20:35,280 --> 00:20:37,399 Speaker 1: doubt during my time on the air, So there's no 370 00:20:37,440 --> 00:20:40,119 Speaker 1: point in staying there. I'm just moving on because I 371 00:20:40,200 --> 00:20:42,879 Speaker 1: know nothing about these topics. I'm just not good at it, 372 00:20:42,960 --> 00:20:45,600 Speaker 1: and I'm acknowledging it all up front. These are just 373 00:20:45,680 --> 00:20:49,560 Speaker 1: new terms to me. I'm just trying to understand it. Anyway. 374 00:20:49,840 --> 00:20:53,680 Speaker 1: Let's say, how to Lindsay in California? Lindsay, how are you? Pacon? 375 00:20:53,920 --> 00:20:55,840 Speaker 1: I'm calling you back, and I'm care to hold you 376 00:20:55,840 --> 00:20:59,480 Speaker 1: accountable to your word. Okay, what's that you told me 377 00:20:59,560 --> 00:21:02,200 Speaker 1: about a month ago? You and I chatted about California. 378 00:21:02,400 --> 00:21:04,600 Speaker 1: We're down here, boots on the ground, a bunch of 379 00:21:04,640 --> 00:21:08,240 Speaker 1: moms out here trying to get the red wave going, 380 00:21:08,280 --> 00:21:11,320 Speaker 1: and I really feel like it's happening. You said you'd look, well, 381 00:21:11,320 --> 00:21:13,520 Speaker 1: you got Elon Musk on your side. I mean that's 382 00:21:13,520 --> 00:21:16,840 Speaker 1: a pretty big step. I do have musk on my side. 383 00:21:16,840 --> 00:21:19,880 Speaker 1: You're correct, and I do think that's happening. I think 384 00:21:19,920 --> 00:21:22,040 Speaker 1: a lot of people are waking up. People are paying 385 00:21:22,160 --> 00:21:25,639 Speaker 1: seven dollars a gallon for gas, People are watching these 386 00:21:25,720 --> 00:21:28,119 Speaker 1: bills come in that are terrible, that are tearing up 387 00:21:28,200 --> 00:21:33,920 Speaker 1: families and education systems, and people are getting frustrated. There's 388 00:21:33,920 --> 00:21:36,560 Speaker 1: a lot of US moms going out. I mean I 389 00:21:36,720 --> 00:21:39,159 Speaker 1: have a big box right here of voter guides that 390 00:21:39,240 --> 00:21:45,600 Speaker 1: we put together that were donated, I mean thousands. Let 391 00:21:45,680 --> 00:21:48,440 Speaker 1: me let me just say this. Look, I never ever 392 00:21:48,640 --> 00:21:53,159 Speaker 1: will dampen anybody's enthusiasm and efforts to do something that 393 00:21:53,280 --> 00:21:56,520 Speaker 1: they believe in and that they believe can help change, 394 00:21:57,760 --> 00:22:00,919 Speaker 1: in this case, the state of California. I'm looking at 395 00:22:01,000 --> 00:22:05,280 Speaker 1: polls that actually show in New York that Lee Zelden 396 00:22:05,880 --> 00:22:09,120 Speaker 1: is within the margin of era against Kathy Hokel, who 397 00:22:09,200 --> 00:22:13,520 Speaker 1: took over for Andrew Cuomo. So is it impossible? No? 398 00:22:14,200 --> 00:22:18,840 Speaker 1: Is it extremely hard? Absolutely? You know, when you get 399 00:22:18,920 --> 00:22:20,800 Speaker 1: to the point, and this is why I think we 400 00:22:20,880 --> 00:22:22,679 Speaker 1: should have paid a lot more attention to the New 401 00:22:22,760 --> 00:22:26,280 Speaker 1: Jersey gubernatorial race. We paid way more attention to the 402 00:22:26,359 --> 00:22:30,120 Speaker 1: Commonwealth of Virginia, but there was very tight Murphy could 403 00:22:30,119 --> 00:22:33,119 Speaker 1: have been defeated politically, and we didn't pay enough attention 404 00:22:33,160 --> 00:22:34,760 Speaker 1: to it, and I regret it. I'm not going to 405 00:22:34,880 --> 00:22:38,280 Speaker 1: take anything for granted. The problem states like New Jersey, 406 00:22:38,359 --> 00:22:41,240 Speaker 1: New York, California, I'll start with those three have is 407 00:22:41,280 --> 00:22:43,880 Speaker 1: you have such high percentages of people wanting to leave. 408 00:22:43,920 --> 00:22:46,720 Speaker 1: In New Jersey, it's fifty nine percent of people want out. 409 00:22:47,359 --> 00:22:51,160 Speaker 1: In New York, it's over fifty percent. In California. I've 410 00:22:51,240 --> 00:22:53,520 Speaker 1: used this example many times. It's the first time in 411 00:22:53,560 --> 00:22:58,240 Speaker 1: one hundred and seventy plus years that more Californians left 412 00:22:58,600 --> 00:23:01,440 Speaker 1: the state than entered a state, and I think that 413 00:23:01,600 --> 00:23:05,720 Speaker 1: trend will continue. You take a U haul from California 414 00:23:06,200 --> 00:23:08,359 Speaker 1: to Texas, it's going to cost you twenty five hundred 415 00:23:08,359 --> 00:23:10,320 Speaker 1: three grand. You bring it back from Texas to same 416 00:23:10,440 --> 00:23:13,359 Speaker 1: U haul to California, you're doing U haul a favor. 417 00:23:13,880 --> 00:23:16,680 Speaker 1: You can get it. They'll last for four or five hundred. 418 00:23:16,680 --> 00:23:18,800 Speaker 1: You could probably get it for three hundred, and they'll 419 00:23:18,840 --> 00:23:21,240 Speaker 1: take the deal because they can't get it back fast enough. 420 00:23:21,280 --> 00:23:25,000 Speaker 1: You're doing them a favor. So this mass exodus also 421 00:23:25,200 --> 00:23:27,920 Speaker 1: means politically, the people that have had it with the 422 00:23:28,040 --> 00:23:32,000 Speaker 1: bureaucracy and the regulation in the high taxes, they're marching 423 00:23:32,080 --> 00:23:35,800 Speaker 1: with their feet. So the pool of potential voters that 424 00:23:35,920 --> 00:23:39,720 Speaker 1: would would vote to save the state are leaving the states. 425 00:23:39,840 --> 00:23:44,040 Speaker 1: Does that make sense? So, sign, I have witnessed and 426 00:23:44,200 --> 00:23:49,760 Speaker 1: experienced all of this that you're discussing. The fortunate thing 427 00:23:50,200 --> 00:23:53,000 Speaker 1: for you know, the red wave that's going to happen 428 00:23:53,119 --> 00:24:00,280 Speaker 1: here is that we have California weather, we have California beaches. Um, 429 00:24:00,440 --> 00:24:04,400 Speaker 1: it's beautiful here. And I know that there are more 430 00:24:04,520 --> 00:24:07,960 Speaker 1: people like me than anybody might think, that we're born 431 00:24:08,000 --> 00:24:11,280 Speaker 1: and raised here, that love it here, that don't want 432 00:24:11,280 --> 00:24:13,720 Speaker 1: to move, and that are digging their hills in and 433 00:24:13,920 --> 00:24:17,600 Speaker 1: willing to fight, raise money, advocate for candidates that are 434 00:24:17,760 --> 00:24:22,959 Speaker 1: lions and fighters. And I've been up and down the states. 435 00:24:24,000 --> 00:24:26,840 Speaker 1: I've talked to hundreds of groups like the groups that 436 00:24:27,480 --> 00:24:30,520 Speaker 1: you know that mom, groups like me that we've had 437 00:24:30,560 --> 00:24:32,600 Speaker 1: in art we started in our town, going to board 438 00:24:32,640 --> 00:24:36,320 Speaker 1: meetings at the school board. We've literally I mean it's 439 00:24:36,359 --> 00:24:40,480 Speaker 1: almost like magnets. Everybody's attaching to each other. I'm talking. 440 00:24:40,600 --> 00:24:43,000 Speaker 1: We have ten thousand voter guides that we've put out 441 00:24:43,400 --> 00:24:45,920 Speaker 1: that we've only raised money for. Nobody spent. You know, 442 00:24:46,040 --> 00:24:48,960 Speaker 1: we as moms. I'm a teacher, my husband's a teacher. 443 00:24:49,000 --> 00:24:52,119 Speaker 1: I don't have money to raise money for candidates. But 444 00:24:52,280 --> 00:24:54,560 Speaker 1: I do. I do have feet, you know, and I 445 00:24:54,640 --> 00:24:57,280 Speaker 1: do have a minute. Again, I do not want to 446 00:24:57,359 --> 00:25:02,720 Speaker 1: dampen your enthusiasm. You see now a transformation. I saw 447 00:25:02,840 --> 00:25:05,600 Speaker 1: poll today. I guess it was the Quinnipiac or yeah, 448 00:25:05,600 --> 00:25:08,960 Speaker 1: it was the Quinnipiac Pole. Joe Biden's approval rating with 449 00:25:09,080 --> 00:25:13,000 Speaker 1: Hispanic Americans is twenty six percent. He's been losing African Americans, 450 00:25:13,080 --> 00:25:16,880 Speaker 1: he's been losing Democrats. His overall approval ratings thirty two percent. 451 00:25:17,400 --> 00:25:19,520 Speaker 1: And for all the reasons I outlined at the beginning 452 00:25:19,680 --> 00:25:21,680 Speaker 1: of the show today, and I'll lay all of this 453 00:25:21,760 --> 00:25:25,520 Speaker 1: out again on TV tonight, except visually. And I'm just 454 00:25:25,640 --> 00:25:29,600 Speaker 1: telling you it is. We are in troubled waters here. 455 00:25:30,200 --> 00:25:34,600 Speaker 1: This is an extraordinarily dangerous time for this country. But 456 00:25:34,760 --> 00:25:38,359 Speaker 1: it might be the very thing that wakes people up 457 00:25:38,520 --> 00:25:47,960 Speaker 1: to realize that that elections matter. Political philosophies matter, candidates matter, 458 00:25:48,560 --> 00:25:55,520 Speaker 1: and your involvement is imperative. I can't say I don't. 459 00:25:55,880 --> 00:25:59,960 Speaker 1: I can't muster enough urgency that I feel in my mind. 460 00:26:00,280 --> 00:26:03,680 Speaker 1: It's a five alarm fire to save this country. And 461 00:26:03,880 --> 00:26:06,600 Speaker 1: that's how important all of this is. So I want 462 00:26:06,600 --> 00:26:09,280 Speaker 1: to encourage you. I want to thank you. I want 463 00:26:09,320 --> 00:26:12,399 Speaker 1: you to keep going, don't ever give up. Fight as 464 00:26:12,480 --> 00:26:16,640 Speaker 1: hard as you can, and hopefully you can make that difference. 465 00:26:16,760 --> 00:26:20,320 Speaker 1: But I'm going to roll along. I wish you the best, Lindsay, 466 00:26:20,480 --> 00:26:23,480 Speaker 1: I really do with all my heart. Sarah is in Tennessee. Next, Sarah, 467 00:26:23,520 --> 00:26:25,760 Speaker 1: how are you, Sean? Thank you for checking my call. 468 00:26:26,440 --> 00:26:32,159 Speaker 1: Thank you. I love Tennessee. Oh you got a problem. 469 00:26:32,359 --> 00:26:35,560 Speaker 1: You have way too many people moving into Tennessee. Yeah, 470 00:26:35,720 --> 00:26:38,040 Speaker 1: we really do. But I can see why. I mean, 471 00:26:38,560 --> 00:26:42,440 Speaker 1: it's it's a better place to be, for sure. Getting 472 00:26:42,440 --> 00:26:45,920 Speaker 1: into my question though, my mom introduced me to your 473 00:26:45,920 --> 00:26:48,520 Speaker 1: show many years ago, by the way, and it's ask 474 00:26:48,600 --> 00:26:51,919 Speaker 1: you this. And I remember back when COVID with at 475 00:26:51,960 --> 00:26:55,120 Speaker 1: its worst, and how whiskey distillers were making hand sanitizer, 476 00:26:55,720 --> 00:26:59,320 Speaker 1: car manufacturers were making respirators. I mean, President Trump was 477 00:26:59,359 --> 00:27:01,800 Speaker 1: a really busy eye tapping other companies to help build 478 00:27:01,800 --> 00:27:04,080 Speaker 1: the gaps when they were so as to help build 479 00:27:04,080 --> 00:27:08,360 Speaker 1: the needs the American's head at the time. Well, here 480 00:27:08,400 --> 00:27:11,000 Speaker 1: we are fast forward and a couple of years later 481 00:27:11,119 --> 00:27:14,320 Speaker 1: with a severe deficit and maybe formula supplies, and I 482 00:27:14,320 --> 00:27:17,480 Speaker 1: don't see Biden taking any of that same initiative. He 483 00:27:17,600 --> 00:27:20,919 Speaker 1: finally went with the Defense authorization I yesterday a little late. 484 00:27:21,320 --> 00:27:25,200 Speaker 1: You mean, like where's operation warp speed and producing the 485 00:27:25,520 --> 00:27:28,520 Speaker 1: baby formula? You know, one of the most interesting side 486 00:27:28,560 --> 00:27:33,199 Speaker 1: notes is you have the best, brightest, most sophisticated engineers 487 00:27:33,880 --> 00:27:37,240 Speaker 1: that work for gm Ford and all of our auto companies. 488 00:27:37,880 --> 00:27:39,720 Speaker 1: And Donald Trump brought them in, I know, the behind 489 00:27:39,760 --> 00:27:41,399 Speaker 1: the scene story that brought them in and say we 490 00:27:41,480 --> 00:27:44,399 Speaker 1: need these ventilators. You've got to get moving now. And 491 00:27:44,560 --> 00:27:49,200 Speaker 1: these very very very bright engineers looked at this and said, 492 00:27:50,119 --> 00:27:53,240 Speaker 1: this is not easy. This is a ventilator, is a 493 00:27:53,400 --> 00:27:58,560 Speaker 1: complicated piece of machinery. A friend of mine, it turns out, 494 00:27:59,480 --> 00:28:03,719 Speaker 1: is a vent later expert. He literally got trained in ventilators. 495 00:28:04,880 --> 00:28:08,919 Speaker 1: If it wasn't for him calling every hour somebody very 496 00:28:09,000 --> 00:28:12,000 Speaker 1: near and dear to me that was on a ventilator 497 00:28:12,080 --> 00:28:15,600 Speaker 1: for what forty some odd days would not have survived. 498 00:28:16,320 --> 00:28:20,119 Speaker 1: But it took that level of precision and expertise and commitment, 499 00:28:21,520 --> 00:28:24,119 Speaker 1: and it literally he was saying to me, it changes 500 00:28:24,200 --> 00:28:26,600 Speaker 1: minute by minute, hour by hour, half hour by half hour. 501 00:28:26,880 --> 00:28:29,080 Speaker 1: He said, stop calling me because I'm spending more time 502 00:28:29,119 --> 00:28:30,880 Speaker 1: on the phone with you than I am doing my job. 503 00:28:31,480 --> 00:28:35,359 Speaker 1: And he wasn't being mean. He this man literally his 504 00:28:35,560 --> 00:28:39,120 Speaker 1: expertise saved the life. So if we can do it 505 00:28:39,200 --> 00:28:42,600 Speaker 1: on a ventilator, I'm pretty darn sure operation warp speed 506 00:28:42,680 --> 00:28:46,240 Speaker 1: baby formula would work. I'm pretty sure of that, of course. 507 00:28:46,440 --> 00:28:49,720 Speaker 1: I mean, why isn't anybody tapping companies like say, for example, 508 00:28:50,280 --> 00:28:52,960 Speaker 1: b and Gie Foods that's Green Giant or Dull or 509 00:28:53,080 --> 00:28:56,040 Speaker 1: Dean Foods. They do dairy, Red Hill Farms I think, 510 00:28:56,120 --> 00:28:58,680 Speaker 1: does goats milk. And then there are of course cereal 511 00:28:58,800 --> 00:29:02,320 Speaker 1: manufacturers like Whole Meals for example. And I mean, does 512 00:29:02,360 --> 00:29:04,000 Speaker 1: it really have to take a president to get that 513 00:29:04,120 --> 00:29:07,240 Speaker 1: ball rolling, because it's pretty obvious that Biden is not 514 00:29:07,320 --> 00:29:09,720 Speaker 1: going to take a leadership to do that himself. So 515 00:29:10,560 --> 00:29:13,600 Speaker 1: with asking how their food manufacturing companies to step up, 516 00:29:13,640 --> 00:29:16,320 Speaker 1: like this be something for legislators to talk about. Kid 517 00:29:16,680 --> 00:29:19,280 Speaker 1: they need they need to fix the problem. This is 518 00:29:19,280 --> 00:29:22,280 Speaker 1: a real problem. We love our children, and if we 519 00:29:22,360 --> 00:29:24,440 Speaker 1: don't have enough baby formula, we need to get it, 520 00:29:24,560 --> 00:29:27,480 Speaker 1: and we need to get it. Stat make this a priority, 521 00:29:27,960 --> 00:29:31,040 Speaker 1: you know, get to every manufacturer and figure it out. 522 00:29:31,160 --> 00:29:33,760 Speaker 1: This is not where the United States of America. For 523 00:29:33,880 --> 00:29:35,720 Speaker 1: crying out loud. We should be able to have free, 524 00:29:35,800 --> 00:29:39,640 Speaker 1: fair elections with integrity and confidence in the results, and 525 00:29:39,760 --> 00:29:42,520 Speaker 1: we ought to be able to mass produce baby formula. 526 00:29:42,560 --> 00:29:45,000 Speaker 1: If there's a shortage, let's get going and let's do it. 527 00:29:45,640 --> 00:29:51,920 Speaker 1: I don't understand the slowness, the lack of urgency. He's 528 00:29:52,000 --> 00:29:54,480 Speaker 1: not up to the job. He's not meant for this job. 529 00:29:54,640 --> 00:29:58,240 Speaker 1: He's not He doesn't even know that today is Thursday. 530 00:29:58,280 --> 00:30:03,080 Speaker 1: For crying out loud. It's so frustrating to me. Anyway. 531 00:30:03,240 --> 00:30:06,400 Speaker 1: You make a good point, Sarah, enjoy paradise. Be grateful 532 00:30:06,400 --> 00:30:10,200 Speaker 1: you're not in any of these Northeastern or states or 533 00:30:10,280 --> 00:30:13,240 Speaker 1: California anyway. Eight hundred nine four one, Shaun is a 534 00:30:13,320 --> 00:30:15,120 Speaker 1: number you want to be a part of the program. Hey, 535 00:30:15,160 --> 00:30:17,280 Speaker 1: did you know that children, they too can be targets 536 00:30:17,320 --> 00:30:20,719 Speaker 1: of identity theft, just like we adult schools and medical 537 00:30:20,800 --> 00:30:25,719 Speaker 1: office data breaches are very commonplaces where information is exposed 538 00:30:25,760 --> 00:30:28,880 Speaker 1: to these cyber criminals. You have to protect your identity 539 00:30:28,920 --> 00:30:31,680 Speaker 1: and your child's identity and limit how you share their 540 00:30:31,720 --> 00:30:35,080 Speaker 1: social Security number, find a safe location for their documents, 541 00:30:35,160 --> 00:30:38,120 Speaker 1: keep your online devices free of viruses. And every day 542 00:30:38,160 --> 00:30:41,560 Speaker 1: we all put our personal information at risk on the Internet. 543 00:30:41,720 --> 00:30:45,360 Speaker 1: LifeLock dot Com LifeLock by Norton detects all of the 544 00:30:45,520 --> 00:30:49,640 Speaker 1: threats and alert you to any potential threats that we 545 00:30:49,760 --> 00:30:51,200 Speaker 1: won't see on our own. By the way, if you 546 00:30:51,280 --> 00:30:53,800 Speaker 1: become a victim of identity theft, you'll get a dedicated 547 00:30:53,960 --> 00:30:57,200 Speaker 1: US based restoration specialist to fix it for you. 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This is the Sean Hannity Show. All right, 558 00:31:55,640 --> 00:31:58,040 Speaker 1: that's gonna wrap things up at today Hannity Tonight, nine 559 00:31:58,120 --> 00:32:01,680 Speaker 1: Eastern on the Fox News Channel. The magnitude of failure 560 00:32:01,800 --> 00:32:04,840 Speaker 1: of Joe Biden. We're laying out the case in full. 561 00:32:04,960 --> 00:32:07,400 Speaker 1: We have the great one, Mark Levin, Lindsay Graham, Kelly 562 00:32:07,440 --> 00:32:10,880 Speaker 1: and Conway will join us tonight. Also, big developments in 563 00:32:11,000 --> 00:32:14,000 Speaker 1: the Dorham trial in the case of Susman. Will tell 564 00:32:14,000 --> 00:32:18,240 Speaker 1: you about that. Elena one of President Trump's attorneys, and 565 00:32:18,400 --> 00:32:21,880 Speaker 1: Greg jar will weigh in, and Adam Carolla, Ninet Eestern Hannity, 566 00:32:21,960 --> 00:32:24,800 Speaker 1: Fox News, see you tonight. Back here tomorrow. Thank you 567 00:32:25,000 --> 00:32:26,320 Speaker 1: for making this show possible.