1 00:00:30,360 --> 00:00:32,960 Speaker 1: All right, Leonard Skinna simple man. That can only mean 2 00:00:33,120 --> 00:00:35,720 Speaker 1: one thing on this radio program, and that is all 3 00:00:35,840 --> 00:00:40,040 Speaker 1: things self proclaimed simple man. That means all things Bill O'Reilly, 4 00:00:40,120 --> 00:00:44,240 Speaker 1: all things Bill O'Reilly, Billoreilly dot com. Mister O'Reilly, Sir, 5 00:00:45,040 --> 00:00:46,800 Speaker 1: it's always a pleasure to have you. I know, it's 6 00:00:46,840 --> 00:00:48,520 Speaker 1: the highlight of you week. How are you, sir? 7 00:00:49,080 --> 00:00:50,960 Speaker 2: Search up Hannity, We're uh. 8 00:00:53,680 --> 00:00:55,560 Speaker 1: I don't know why. The sound of your voice cracks 9 00:00:55,600 --> 00:00:58,040 Speaker 1: me up, just just you being on the pro Patrick 10 00:00:58,080 --> 00:01:00,480 Speaker 1: bet David was asking about you when we were together. 11 00:01:00,520 --> 00:01:01,520 Speaker 1: We had a good time talking. 12 00:01:02,640 --> 00:01:04,319 Speaker 2: What does he want to know? I'm an open book, 13 00:01:04,400 --> 00:01:06,039 Speaker 2: you know that. No. 14 00:01:06,280 --> 00:01:09,160 Speaker 1: I mean he was mentioning people that had worked at 15 00:01:09,240 --> 00:01:11,600 Speaker 1: Fox and don't and I said, well, everybody that I 16 00:01:11,640 --> 00:01:14,600 Speaker 1: know that left tells me and you more than anybody, 17 00:01:14,600 --> 00:01:18,240 Speaker 1: to be very blunt, that they that you're happy with 18 00:01:18,360 --> 00:01:21,080 Speaker 1: your career decisions. And we discussed this a little bit 19 00:01:21,160 --> 00:01:26,120 Speaker 1: last week, and I said, uh, my success or failures 20 00:01:26,200 --> 00:01:31,000 Speaker 1: not predicated on somebody else's failure success. And I the 21 00:01:31,040 --> 00:01:35,440 Speaker 1: intramural fighting days of my life and career arelong gone. 22 00:01:35,520 --> 00:01:38,760 Speaker 1: I don't care. I wish people all the best, and 23 00:01:38,959 --> 00:01:41,319 Speaker 1: I want to do the best shows I can do 24 00:01:41,400 --> 00:01:43,280 Speaker 1: for my audience, and that's where my focus is. 25 00:01:43,880 --> 00:01:47,400 Speaker 2: Well, it's true, you're an older statesman. Now you're rapidly aging. 26 00:01:47,960 --> 00:01:51,160 Speaker 1: And what about you? What are you? You're much older 27 00:01:51,160 --> 00:01:51,360 Speaker 1: than me? 28 00:01:51,400 --> 00:01:52,720 Speaker 3: What is this? Lee? 29 00:01:52,880 --> 00:01:55,240 Speaker 2: I'm I'm I'm like, uh, I. 30 00:01:55,200 --> 00:01:57,840 Speaker 1: Did see you lately. I bought you breakfast as always 31 00:01:57,880 --> 00:01:58,960 Speaker 1: I always pay. 32 00:01:59,040 --> 00:02:03,000 Speaker 2: Yeah, I'm the I mean it's six inch waist. But 33 00:02:03,680 --> 00:02:05,520 Speaker 2: you have taken on wisdom now. 34 00:02:07,200 --> 00:02:07,400 Speaker 4: You know. 35 00:02:07,440 --> 00:02:11,919 Speaker 2: It's interesting because the world and particularly the United States, 36 00:02:12,000 --> 00:02:18,760 Speaker 2: is changing so dramatically that in my fiftieth year of journalism, 37 00:02:19,440 --> 00:02:23,760 Speaker 2: and I couldn't have predicted when I left FNC eight 38 00:02:23,840 --> 00:02:29,760 Speaker 2: years ago that independent journalism because of the technology, would 39 00:02:30,440 --> 00:02:33,880 Speaker 2: rise so quickly. It was the same thing in nineteen 40 00:02:33,960 --> 00:02:38,200 Speaker 2: ninety six when we Hannity and I were first on 41 00:02:38,240 --> 00:02:42,560 Speaker 2: the bench at Fox News when it started. We were 42 00:02:42,600 --> 00:02:46,920 Speaker 2: there because of technology, because they had the ability to 43 00:02:46,919 --> 00:02:50,400 Speaker 2: do twenty four hour television news, and then we stepped 44 00:02:50,440 --> 00:02:54,119 Speaker 2: into that breach and became successful. Well, the same thing 45 00:02:54,360 --> 00:02:57,480 Speaker 2: has happened now, but in a different realm. So now 46 00:02:57,480 --> 00:03:00,959 Speaker 2: it's YouTube and Spotify and TikTok and all this other 47 00:03:01,000 --> 00:03:05,840 Speaker 2: stuff that reaches an enormous amount of people that linear 48 00:03:05,919 --> 00:03:10,480 Speaker 2: television doesn't. So those of us who left linear television 49 00:03:10,600 --> 00:03:14,720 Speaker 2: and have gotten into this world, and I didn't predict it. 50 00:03:14,960 --> 00:03:18,480 Speaker 2: I mean, I just wanted to do interesting work, have 51 00:03:18,680 --> 00:03:21,560 Speaker 2: now found ourselves, some of us who put on an 52 00:03:21,560 --> 00:03:26,320 Speaker 2: honest product, not garbage, in a very lucrative position. 53 00:03:26,840 --> 00:03:29,600 Speaker 1: And that's what that's no Listen, We've both have been 54 00:03:29,639 --> 00:03:32,320 Speaker 1: blessed beyond our wildest dreams. And I would add in 55 00:03:32,360 --> 00:03:35,840 Speaker 1: my case, when I started in talk radio in nineteen 56 00:03:36,200 --> 00:03:39,200 Speaker 1: eighty seven or eight, I don't even remember what year, 57 00:03:40,880 --> 00:03:43,040 Speaker 1: they were only like two two hundred and fifty talk 58 00:03:43,080 --> 00:03:47,400 Speaker 1: stations in the country, and it's grown and exploded. I 59 00:03:47,480 --> 00:03:49,640 Speaker 1: never thought i'd be on over what, seven hundred and 60 00:03:49,720 --> 00:03:52,480 Speaker 1: sixty stations now, and I'm very blessed and honored to 61 00:03:52,480 --> 00:03:55,400 Speaker 1: do it. And I even do my own podcast, as 62 00:03:55,440 --> 00:03:58,600 Speaker 1: you know. And on top of that for Fox, and 63 00:03:58,960 --> 00:04:01,200 Speaker 1: I love doing everything that I do it all day 64 00:04:01,440 --> 00:04:03,200 Speaker 1: and I like to work hard. All right, I'm going 65 00:04:03,280 --> 00:04:05,600 Speaker 1: to give you a choice today. Now, I have two 66 00:04:05,720 --> 00:04:10,000 Speaker 1: topics for you. I have one water cooler topic and 67 00:04:10,040 --> 00:04:12,920 Speaker 1: then I have one more serious topic. Which one would 68 00:04:12,920 --> 00:04:14,120 Speaker 1: you like to deal. 69 00:04:13,880 --> 00:04:16,200 Speaker 2: With first, let's go to the cooler first. 70 00:04:17,000 --> 00:04:21,160 Speaker 1: All right, water cooler first. Sydney Sweeney. I know you've 71 00:04:21,200 --> 00:04:24,200 Speaker 1: been following the story. There's a great piece on foxnews 72 00:04:24,200 --> 00:04:28,159 Speaker 1: dot com, Why the War on Hot Women? Now? Listen, 73 00:04:28,240 --> 00:04:31,599 Speaker 1: she's to me, she's a pretty young lady, young woman. 74 00:04:32,080 --> 00:04:35,200 Speaker 1: I don't you know she's That's not how I would 75 00:04:35,200 --> 00:04:39,320 Speaker 1: describe her. Why the woke mob hates Sydney Sweeney. I 76 00:04:39,360 --> 00:04:42,200 Speaker 1: knew nothing next to nothing about her, except she's all 77 00:04:42,240 --> 00:04:43,880 Speaker 1: over the New York Post and it has been for 78 00:04:44,040 --> 00:04:46,760 Speaker 1: months and months and months, which is the about all 79 00:04:46,800 --> 00:04:51,880 Speaker 1: I really know about her. Anyway, it's an MSDNC for example, 80 00:04:52,000 --> 00:04:57,120 Speaker 1: Sydney Sweeney's ad shows an unbridled cultural shift towards whiteness. 81 00:04:57,640 --> 00:05:01,200 Speaker 1: The amount of hatred that is being shown to this 82 00:05:01,279 --> 00:05:07,039 Speaker 1: young woman who who's doing an ad about genes. He's 83 00:05:07,080 --> 00:05:10,320 Speaker 1: obviously an attractive young woman. Fine, I wouldn't use the 84 00:05:10,320 --> 00:05:13,560 Speaker 1: words they're using in headlines, et cetera, et cetera. And 85 00:05:13,760 --> 00:05:15,680 Speaker 1: I don't know where all the feminist outrage was with 86 00:05:15,800 --> 00:05:20,320 Speaker 1: Dylan Blvany, et cetera, et cetera. But you know, a 87 00:05:20,480 --> 00:05:27,000 Speaker 1: celebrating womenhood. But they really are after her because okay, 88 00:05:26,680 --> 00:05:30,400 Speaker 1: they she's doing a gene ad meaning genes that you 89 00:05:30,520 --> 00:05:35,080 Speaker 1: wear and quote, you know, a play on words, genes, 90 00:05:35,120 --> 00:05:38,320 Speaker 1: and somehow they're taking this to Nazi eugenics. I mean, 91 00:05:38,320 --> 00:05:39,160 Speaker 1: it's insane. 92 00:05:39,720 --> 00:05:42,640 Speaker 2: I haven't I have to confess that I don't know 93 00:05:42,760 --> 00:05:45,760 Speaker 2: much about the young woman. She's an actress. I know 94 00:05:45,880 --> 00:05:50,239 Speaker 2: she's in the America, the Eagle Spot, but I don't 95 00:05:50,279 --> 00:05:53,359 Speaker 2: know how they're making the linkage from trying to sell 96 00:05:53,520 --> 00:05:57,920 Speaker 2: genes into the third right, what is the thread there? 97 00:05:58,040 --> 00:05:59,159 Speaker 2: What are they trying to say? 98 00:06:00,040 --> 00:06:03,440 Speaker 1: Because they're implying and this is my take on it, 99 00:06:03,480 --> 00:06:06,239 Speaker 1: and Linda, you can weigh in a field differently, because 100 00:06:06,279 --> 00:06:09,440 Speaker 1: she's a pretty young woman. She's an attractive young woman. 101 00:06:09,960 --> 00:06:13,279 Speaker 1: They use the word, they spell the word genes ge 102 00:06:13,600 --> 00:06:19,479 Speaker 1: n e s and she's selling genes and that's the brand. 103 00:06:20,320 --> 00:06:23,719 Speaker 1: And anyway, and then good Morning America. You know she's 104 00:06:23,760 --> 00:06:28,880 Speaker 1: being compared to the Nazi propaganda. Now, all they're acknowledging 105 00:06:29,040 --> 00:06:32,400 Speaker 1: is is that she's an attractive young woman. Okay, great, 106 00:06:32,520 --> 00:06:34,960 Speaker 1: they're using a play on words and they're trying to 107 00:06:35,360 --> 00:06:39,400 Speaker 1: somehow connect this. Now, why is this? Why are they 108 00:06:39,400 --> 00:06:42,839 Speaker 1: going after this young woman? I find it repulsive and 109 00:06:42,880 --> 00:06:46,839 Speaker 1: they've lost their collective mind. And now she's under fire, 110 00:06:47,560 --> 00:06:50,000 Speaker 1: you know, because of this American Eagle ad. It makes 111 00:06:50,080 --> 00:06:54,440 Speaker 1: me want to buy the ad and maybe even you know, 112 00:06:54,520 --> 00:06:56,200 Speaker 1: I don't even know what she does, to be honest, 113 00:06:56,240 --> 00:06:58,160 Speaker 1: I have no I can't name one show she's been 114 00:06:58,240 --> 00:07:01,200 Speaker 1: on or anything that she's done that she does. I 115 00:07:01,240 --> 00:07:03,360 Speaker 1: know she's in the paper all the time. That's about it. 116 00:07:03,880 --> 00:07:07,280 Speaker 2: Yeah, because she's an attractive woman, and the tabloids use 117 00:07:07,400 --> 00:07:12,840 Speaker 2: the women, and so does the Internet to get clicks, 118 00:07:12,880 --> 00:07:17,240 Speaker 2: and that's been going on since nineteen five. But I 119 00:07:17,600 --> 00:07:22,080 Speaker 2: still don't understand g E n ees genes. I guess 120 00:07:22,160 --> 00:07:27,320 Speaker 2: these kooks, these loons believe that because this woman has 121 00:07:27,400 --> 00:07:32,040 Speaker 2: good genes in that she's attractive, that this is some 122 00:07:32,200 --> 00:07:37,320 Speaker 2: kind of eugenics tied into white superiority. So when you 123 00:07:37,360 --> 00:07:40,960 Speaker 2: hear something like that, there are two reactions. Number one, 124 00:07:40,960 --> 00:07:45,360 Speaker 2: who's ever saying it should be institutionalized and we should 125 00:07:45,360 --> 00:07:46,480 Speaker 2: send people over in. 126 00:07:49,880 --> 00:07:51,400 Speaker 1: That's a good way to put it. But I think 127 00:07:51,440 --> 00:07:54,000 Speaker 1: most of the left institutionalized at this point. 128 00:07:54,600 --> 00:07:57,240 Speaker 2: They've got to be they've got to be analyzed. There 129 00:07:57,240 --> 00:07:59,720 Speaker 2: may be a danger to themselves, sanity and we want 130 00:07:59,720 --> 00:08:02,840 Speaker 2: to be passionate here. Okay, that's number one, and number two, 131 00:08:03,320 --> 00:08:06,840 Speaker 2: it's so desperate to get people to pay attention to them. 132 00:08:07,200 --> 00:08:11,239 Speaker 2: The people that push this MSNBC is a great example desperate. 133 00:08:11,680 --> 00:08:14,040 Speaker 2: They don't know what to do. The Epstein thing is 134 00:08:14,120 --> 00:08:19,080 Speaker 2: running out of steam and their ratings are cratering. So 135 00:08:19,400 --> 00:08:23,000 Speaker 2: let's throw this poor woman up as some kind of 136 00:08:24,280 --> 00:08:26,880 Speaker 2: you know, SS woman or something. 137 00:08:26,920 --> 00:08:30,840 Speaker 1: I mean, it's so insane. It's insane, but it's more 138 00:08:30,880 --> 00:08:32,199 Speaker 1: than insane. 139 00:08:32,640 --> 00:08:40,160 Speaker 2: It shows you how our culture has declined because you 140 00:08:40,280 --> 00:08:44,040 Speaker 2: don't take a human being, this woman and put her 141 00:08:44,080 --> 00:08:49,920 Speaker 2: into a situation of mass murder, which is what the 142 00:08:50,000 --> 00:08:53,440 Speaker 2: third reiche was. If you have any conscience, you don't 143 00:08:53,440 --> 00:09:00,640 Speaker 2: do that. That's appalling. But they don't care. And I 144 00:09:00,679 --> 00:09:02,760 Speaker 2: don't know about the outrage. I guess it's getting a lot. 145 00:09:02,760 --> 00:09:04,680 Speaker 2: I don't live in that internet world, you know that. 146 00:09:06,160 --> 00:09:08,120 Speaker 2: But that's my water cooler analysis. 147 00:09:08,200 --> 00:09:11,080 Speaker 1: All right, quick break, we'll come back with Bill O'Reilly 148 00:09:11,160 --> 00:09:13,520 Speaker 1: All Things simple Man, eight hundred and ninety four one. 149 00:09:13,520 --> 00:09:15,360 Speaker 1: Shawn is on number. We'll get to your calls coming 150 00:09:15,440 --> 00:09:20,280 Speaker 1: up as well as we continue. We continue now with 151 00:09:20,320 --> 00:09:22,720 Speaker 1: all Things simple Man. That means all things Bill O'Reilly, 152 00:09:22,720 --> 00:09:25,080 Speaker 1: All things Bill O'Reilly at billoreilly dot com. 153 00:09:25,200 --> 00:09:26,600 Speaker 2: So what's your serious story? 154 00:09:27,200 --> 00:09:31,679 Speaker 1: All right, the serious story is I'm angry about Jerome Powell, 155 00:09:31,720 --> 00:09:36,640 Speaker 1: the FED chair. I'm sure you're aware that the GDP 156 00:09:36,880 --> 00:09:41,600 Speaker 1: number that came out today, the US economy grew at 157 00:09:41,880 --> 00:09:45,280 Speaker 1: a very healthy three percent, which is more than Biden 158 00:09:45,520 --> 00:09:48,520 Speaker 1: ever had in four years, more than he ever had. 159 00:09:48,679 --> 00:09:51,800 Speaker 1: This is my take on the economy. We have never 160 00:09:51,920 --> 00:09:56,360 Speaker 1: been set. What Donald Trump has accomplished in six months 161 00:09:56,480 --> 00:09:59,920 Speaker 1: is unprecedented, and I think it's going to yield incredible results. 162 00:10:00,520 --> 00:10:03,080 Speaker 1: Let me give you the long list. Bear with me. 163 00:10:03,400 --> 00:10:05,640 Speaker 1: I'll hand you the ball. You run with it as 164 00:10:05,640 --> 00:10:09,800 Speaker 1: long as you want. But Donald Trump now has over 165 00:10:09,960 --> 00:10:16,120 Speaker 1: twelve trillion dollars in committed monies for manufacturing. That's automobile manufacturing, 166 00:10:16,120 --> 00:10:24,880 Speaker 1: that's semiconductor manufacturing, pharmaceutical manufacturing, rare earth mineral manufacturing, magnet manufacturing. 167 00:10:25,200 --> 00:10:27,400 Speaker 1: I mean, we're going to be it's going to be 168 00:10:27,520 --> 00:10:30,280 Speaker 1: high paying career jobs for so many Americans. It's going 169 00:10:30,360 --> 00:10:32,600 Speaker 1: to have such a big effect on the economy. I'm 170 00:10:32,640 --> 00:10:36,240 Speaker 1: a supply sider. The largest tax cut in American history. 171 00:10:36,679 --> 00:10:39,960 Speaker 1: Every time we've cut taxes that results in more revenues 172 00:10:40,000 --> 00:10:42,520 Speaker 1: to the government. It is a fallacy that will cut 173 00:10:42,840 --> 00:10:46,400 Speaker 1: cut money to the federal government. The President gave us 174 00:10:46,480 --> 00:10:52,320 Speaker 1: the first trade, I'm sorry, the first surplus economically for 175 00:10:52,400 --> 00:10:56,000 Speaker 1: the government in over twenty years. The President now has 176 00:10:56,080 --> 00:10:58,640 Speaker 1: opened the door for energy dominance. He just did this 177 00:10:58,760 --> 00:11:02,280 Speaker 1: deal where Europe is. The European Union is going to 178 00:11:02,280 --> 00:11:05,959 Speaker 1: spend seven hundred and fifty billion on our energy and 179 00:11:06,000 --> 00:11:10,160 Speaker 1: that will defund Plutin's war machine. When you put that 180 00:11:10,360 --> 00:11:13,160 Speaker 1: coupled with no tax on tips and overtime and social 181 00:11:13,160 --> 00:11:15,840 Speaker 1: security into the mix, the largest tax cut in history. 182 00:11:16,559 --> 00:11:21,120 Speaker 1: Bill I. One of the banks yesterday came out and said, 183 00:11:21,120 --> 00:11:23,880 Speaker 1: this is not a period of prosperity. This is going 184 00:11:23,960 --> 00:11:27,040 Speaker 1: to be an economic boom like we've not seen in decades. 185 00:11:27,520 --> 00:11:29,360 Speaker 1: I believe in that outcome. 186 00:11:29,679 --> 00:11:34,200 Speaker 2: What say you more cautious than you are? In fact, 187 00:11:34,280 --> 00:11:39,240 Speaker 2: I sold off some of my speculative stocks because there's 188 00:11:39,280 --> 00:11:43,240 Speaker 2: a difference between what is on paper and what's in 189 00:11:43,280 --> 00:11:47,800 Speaker 2: the bank. Now, it all could work out, and we'll 190 00:11:47,840 --> 00:11:50,880 Speaker 2: know by December, and if it works out, and the 191 00:11:50,960 --> 00:11:53,840 Speaker 2: Republicans will win the midterms easily. 192 00:11:53,880 --> 00:11:57,120 Speaker 1: Acor now we'll know by November of twenty six. I 193 00:11:57,160 --> 00:12:01,600 Speaker 1: mean that's when that's that will be the determining factor 194 00:12:01,720 --> 00:12:05,000 Speaker 1: I think for the economy. Peace and prosperity drive elections. 195 00:12:05,200 --> 00:12:10,400 Speaker 2: Right. Well, we'll know if these tariff deals work by 196 00:12:10,679 --> 00:12:15,160 Speaker 2: this December of this year, because already the money is 197 00:12:15,320 --> 00:12:17,480 Speaker 2: pouring in, and that money should be used to pay 198 00:12:17,480 --> 00:12:21,679 Speaker 2: down a debt. Hannity, that at least a portion of it, 199 00:12:22,280 --> 00:12:25,920 Speaker 2: because it goes into the general Fund and the treasury, 200 00:12:26,440 --> 00:12:28,160 Speaker 2: and they should be using that to pay down a 201 00:12:28,240 --> 00:12:30,839 Speaker 2: debt because that would strengthen a dollar across the board. 202 00:12:30,960 --> 00:12:33,640 Speaker 2: There's a lot of caution here because the world is 203 00:12:33,679 --> 00:12:39,280 Speaker 2: so dangerous and bad things can happen quickly. The key 204 00:12:39,400 --> 00:12:43,760 Speaker 2: to America and to Donald Trump's economic success is getting 205 00:12:43,760 --> 00:12:47,480 Speaker 2: a deal with China. I think that's going to happen, 206 00:12:47,520 --> 00:12:50,040 Speaker 2: and you know that I was there in May. I 207 00:12:50,120 --> 00:12:54,080 Speaker 2: believe that that's going to happen. And if that does, 208 00:12:54,640 --> 00:12:58,640 Speaker 2: there'll be a surge and America will be so much stronger. 209 00:12:59,200 --> 00:13:03,440 Speaker 2: And I like to act that Trump hammered India today 210 00:13:04,400 --> 00:13:07,439 Speaker 2: because India continues to buy Putin's oil when they don't 211 00:13:07,480 --> 00:13:13,680 Speaker 2: have to, and that helps Putin murder people, And I 212 00:13:13,720 --> 00:13:15,839 Speaker 2: was happy to see Trump say you want to do that, 213 00:13:16,240 --> 00:13:19,680 Speaker 2: we're slapping sanctions on you. The way to start putin 214 00:13:19,760 --> 00:13:23,480 Speaker 2: is economically, you got to starve them now. So I 215 00:13:23,520 --> 00:13:29,280 Speaker 2: think things are are heading in a positive direction. And 216 00:13:29,679 --> 00:13:33,240 Speaker 2: I hated Schumer saying that this whole thing is faked. 217 00:13:33,280 --> 00:13:34,640 Speaker 2: Did you hear that sound by it? I think you 218 00:13:34,720 --> 00:13:36,719 Speaker 2: might have used that on your TV show, didn't you? 219 00:13:37,360 --> 00:13:39,200 Speaker 1: I did you know? But the only thing I would 220 00:13:39,240 --> 00:13:43,400 Speaker 1: say is Bill, We've never had committed investments to this degree. 221 00:13:43,440 --> 00:13:46,440 Speaker 1: We've never had somebody give as large a tax cut. 222 00:13:46,920 --> 00:13:51,480 Speaker 1: We've never had We've never pushed for energy dominance. We've 223 00:13:51,520 --> 00:13:57,880 Speaker 1: never had these deals in place, the European Union, Japan, Vietnam, Indonesia, Canada, Mexico, 224 00:13:58,640 --> 00:14:01,640 Speaker 1: and yeah, depending China, they've agreed in principle, but yeah, 225 00:14:01,640 --> 00:14:04,439 Speaker 1: they've got to sign the dotted line. But all of which, 226 00:14:04,920 --> 00:14:08,800 Speaker 1: you know what, and it's resulted in, you know, five 227 00:14:08,920 --> 00:14:11,319 Speaker 1: times the amount of tariff money that we've ever had. 228 00:14:11,360 --> 00:14:11,440 Speaker 2: That. 229 00:14:11,480 --> 00:14:13,840 Speaker 1: But they're thinking about cutting a check to every American 230 00:14:13,920 --> 00:14:14,320 Speaker 1: right now. 231 00:14:14,520 --> 00:14:17,360 Speaker 2: I hope they don't do that. We got to pay 232 00:14:17,400 --> 00:14:20,880 Speaker 2: down that debt. That is the key to it. Use 233 00:14:20,920 --> 00:14:24,120 Speaker 2: the money to get the debt down, and I agree 234 00:14:24,160 --> 00:14:24,680 Speaker 2: with you, but. 235 00:14:24,960 --> 00:14:28,200 Speaker 1: I would not mind if lower and middle income americans 236 00:14:28,200 --> 00:14:31,520 Speaker 1: got some I wouldn't mind that at all. But I've 237 00:14:31,520 --> 00:14:33,720 Speaker 1: got to run, simple man. You know why I could 238 00:14:33,720 --> 00:14:36,040 Speaker 1: talk to you all day. Mister O'Reilly when your book 239 00:14:36,080 --> 00:14:38,520 Speaker 1: comes out, you are not getting a cupcake interview. I'm 240 00:14:38,520 --> 00:14:40,720 Speaker 1: warning you ahead of time. This is going to be 241 00:14:40,760 --> 00:14:43,360 Speaker 1: the most brutal interview you've had in your career in 242 00:14:43,440 --> 00:14:45,400 Speaker 1: fifty years. So you better buckle up. 243 00:14:45,720 --> 00:14:48,640 Speaker 2: Anny, You're gonna love it all right. 244 00:14:48,680 --> 00:14:50,800 Speaker 1: Eight ninety four one Shawn is on. Now, that's what 245 00:14:50,880 --> 00:14:53,600 Speaker 1: he told me before lived for your debt Nity, I'm 246 00:14:53,600 --> 00:15:05,200 Speaker 1: gonna be a cupcake interview. I'm like, okay, whatever that means. 247 00:15:05,200 --> 00:15:09,160 Speaker 5: Breaking news all afternoon. When you get off work, be 248 00:15:09,280 --> 00:15:12,600 Speaker 5: sure to check in first for everything you miss during 249 00:15:12,640 --> 00:15:16,520 Speaker 5: the day. This is the Sean Hannity Show. 250 00:15:17,080 --> 00:15:19,280 Speaker 1: H twenty five Now to the top of the hour. 251 00:15:19,320 --> 00:15:21,200 Speaker 1: Eight hundred and nine four one Shawn is a number. 252 00:15:21,280 --> 00:15:22,920 Speaker 1: You want to be a part of the program. 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Well, 278 00:16:51,800 --> 00:16:56,080 Speaker 1: it happened with Luigi Mangioni, the guy that you know 279 00:16:56,160 --> 00:17:01,240 Speaker 1: assassinated the United Healthcare CEO. I mean, it became as celebrity. 280 00:17:01,880 --> 00:17:05,320 Speaker 1: He became, you know, worshiped. He Oh, please keep your 281 00:17:05,400 --> 00:17:08,480 Speaker 1: letters short to me. All these people writing him, praising him, 282 00:17:08,800 --> 00:17:12,680 Speaker 1: women throwing themselves at him. I mean, it's just nauseating 283 00:17:12,720 --> 00:17:17,560 Speaker 1: that the left would celebrate the shooting of innocent people. Well, 284 00:17:17,600 --> 00:17:20,200 Speaker 1: now we have the shooting that took place in New 285 00:17:20,280 --> 00:17:24,240 Speaker 1: York City, and now people on the left are celebrating 286 00:17:24,480 --> 00:17:29,000 Speaker 1: the shooting of this Blackstone executive by this NYC shooter. 287 00:17:29,440 --> 00:17:32,640 Speaker 1: Take a listen. They're the reason why there's a housing crisis. 288 00:17:32,680 --> 00:17:34,959 Speaker 1: So hey, you know what, let's get more against those 289 00:17:34,960 --> 00:17:35,680 Speaker 1: Blackstone people. 290 00:17:35,800 --> 00:17:37,720 Speaker 3: Let's take them out. If you're having a bad day. 291 00:17:37,760 --> 00:17:39,199 Speaker 1: I just wanted to hop on and let you know 292 00:17:39,240 --> 00:17:40,200 Speaker 1: that the CEO of. 293 00:17:40,200 --> 00:17:43,520 Speaker 4: Blackstone and Private equity real estate firm was one of 294 00:17:43,520 --> 00:17:45,920 Speaker 4: the victims in the recent shooting. That I'm not saying 295 00:17:46,000 --> 00:17:50,320 Speaker 4: she deserved it, but I'm saying God's timing is always right. 296 00:17:51,000 --> 00:17:54,919 Speaker 1: Let's go CEOs. He's been good. Let's hope it lasts 297 00:17:54,920 --> 00:17:56,880 Speaker 1: till December like it did last year. 298 00:17:57,160 --> 00:17:59,320 Speaker 6: Oh my god, that's another CEO is shot. 299 00:18:00,320 --> 00:18:02,159 Speaker 3: Ye Christmas. 300 00:18:03,200 --> 00:18:06,639 Speaker 1: I mean, I don't really have words for this type 301 00:18:06,680 --> 00:18:11,600 Speaker 1: of evil, because it is evil. It turns out I'm 302 00:18:11,600 --> 00:18:14,520 Speaker 1: not going to say which victim, that a very close 303 00:18:14,560 --> 00:18:19,040 Speaker 1: friend of mine, his business partner's niece was one of 304 00:18:19,040 --> 00:18:23,880 Speaker 1: the victims here, and it is so personal for them, 305 00:18:24,359 --> 00:18:28,080 Speaker 1: I mean the entire family. When I inquired, I mean, 306 00:18:28,160 --> 00:18:32,120 Speaker 1: it's a stupid question, but you ask, how are they 307 00:18:32,160 --> 00:18:35,400 Speaker 1: holding up? And it's like, how do you think they're 308 00:18:35,400 --> 00:18:39,680 Speaker 1: holding up? They're not. They lost their loved one. And 309 00:18:39,840 --> 00:18:44,000 Speaker 1: what we're learning is, you know, you got mayor oal candidate, 310 00:18:44,040 --> 00:18:46,040 Speaker 1: and I wonder if this might have an impact on 311 00:18:46,080 --> 00:18:48,920 Speaker 1: this race for New York City mayor. You know, Marxist 312 00:18:49,000 --> 00:18:52,080 Speaker 1: Mumdani is facing a heavy backlash for saying, oh, I'm 313 00:18:52,080 --> 00:18:57,560 Speaker 1: grateful to first responders after the deadly mass shooting, given 314 00:18:57,600 --> 00:19:01,440 Speaker 1: that Mumdanni had previously called to dismantled the New York 315 00:19:01,440 --> 00:19:05,639 Speaker 1: Police Department. Remember it was Andrew Cuomo. He wanted the 316 00:19:05,720 --> 00:19:07,720 Speaker 1: no bail laws in New York, which is like a 317 00:19:07,720 --> 00:19:09,639 Speaker 1: slap of the face to all the cops that do 318 00:19:09,800 --> 00:19:14,800 Speaker 1: the heavy lifting and arresting people. But anyway, so but 319 00:19:15,000 --> 00:19:18,440 Speaker 1: Mamdani in his particular case, you know, he had a 320 00:19:18,520 --> 00:19:22,160 Speaker 1: shared desire to defund the police and now he say, 321 00:19:22,240 --> 00:19:25,160 Speaker 1: oh I'm heartbroken to learn here now. In a post 322 00:19:25,480 --> 00:19:31,199 Speaker 1: from November seventh, twenty twenty, comrade or Marxist Mamdani you know, 323 00:19:31,280 --> 00:19:36,359 Speaker 1: purportedly wrote nature is healing in response to another user 324 00:19:36,400 --> 00:19:39,399 Speaker 1: who exclaimed I just saw a cop crying in his car, 325 00:19:39,480 --> 00:19:43,160 Speaker 1: laughing my ass off. Ha ha ha uh. We don't 326 00:19:43,200 --> 00:19:47,399 Speaker 1: need an investigation to know the NYPD is racist again. 327 00:19:47,480 --> 00:19:52,000 Speaker 1: This their words, not mine, anti queer, and a major 328 00:19:52,160 --> 00:19:55,080 Speaker 1: threat to public safety. What we need to do is 329 00:19:55,280 --> 00:19:59,840 Speaker 1: hashtag defund the NYPD. The thirty three year old mayor 330 00:20:00,160 --> 00:20:06,560 Speaker 1: candidate wrote in another posts that he had and if 331 00:20:06,560 --> 00:20:11,160 Speaker 1: you flash back to Mamdani, he pledged to disband Hey 332 00:20:11,240 --> 00:20:16,320 Speaker 1: police units, including the one to dispand the New York 333 00:20:16,359 --> 00:20:21,199 Speaker 1: Police Department's Strategic Response Group, and that is one of 334 00:20:21,200 --> 00:20:25,879 Speaker 1: the NYPD's special operations units, which, according to their official website, 335 00:20:25,920 --> 00:20:31,720 Speaker 1: they specialize in disorder response, crime suppression, crowd control, responds 336 00:20:31,720 --> 00:20:36,399 Speaker 1: to citywide mobilization civil disorders and major events with highly 337 00:20:36,440 --> 00:20:39,919 Speaker 1: trained personnel and specialized equipment. And they're the ones that 338 00:20:39,960 --> 00:20:44,400 Speaker 1: are deployed to areas that require an increased police presence 339 00:20:44,760 --> 00:20:48,040 Speaker 1: due to increased crime or other conditions. And they are 340 00:20:48,040 --> 00:20:51,919 Speaker 1: the group that mobilizes for shootings and bank robberies and 341 00:20:52,000 --> 00:20:59,119 Speaker 1: missing persons demonstrations and significant incidents. In December, Marxist Mamdani 342 00:20:59,200 --> 00:21:02,520 Speaker 1: claimed that the n y I had deployed this particular 343 00:21:02,720 --> 00:21:08,360 Speaker 1: SRG group to harass and arrest striking teamsters, and he said, 344 00:21:08,359 --> 00:21:11,439 Speaker 1: as mayor, I will disband this group in the NYPD. 345 00:21:12,200 --> 00:21:15,840 Speaker 1: And they have cost taxpayers millions in lawsuits and settlements 346 00:21:15,920 --> 00:21:21,520 Speaker 1: and brutalized countless New Yorkers exercising their First Amendment rights rights. 347 00:21:22,080 --> 00:21:25,440 Speaker 1: Mamdani has been ripped for this. He said he we 348 00:21:25,520 --> 00:21:28,879 Speaker 1: want to defund the police. In a twenty twenty social 349 00:21:28,920 --> 00:21:33,840 Speaker 1: media post, he's the guy that wants social workers social work. 350 00:21:33,880 --> 00:21:37,719 Speaker 1: What is a social worker going to do if in 351 00:21:37,760 --> 00:21:40,959 Speaker 1: a situation like this where you have an active shooter, 352 00:21:42,119 --> 00:21:44,840 Speaker 1: you need somebody with a gun that's going to have 353 00:21:44,920 --> 00:21:47,879 Speaker 1: the ability to save lives and take out the shooter. 354 00:21:48,680 --> 00:21:52,520 Speaker 1: It's just basic, simple, common sense but you know, obviously 355 00:21:52,560 --> 00:21:58,080 Speaker 1: he's been busy from his over the top fairly Jeff 356 00:21:58,119 --> 00:22:04,120 Speaker 1: Bezos like wedding in Uganda. Apparently they had they had 357 00:22:04,680 --> 00:22:09,320 Speaker 1: a lot of security of this wedding. Unbelievable. All right, 358 00:22:09,359 --> 00:22:11,280 Speaker 1: let's get to our busy phones here eight hundred and 359 00:22:11,359 --> 00:22:13,000 Speaker 1: ninety four one, Sean, if you want to be a 360 00:22:13,000 --> 00:22:16,000 Speaker 1: part of the program, let's say hi to marry in 361 00:22:16,119 --> 00:22:18,040 Speaker 1: New Jersey. What's going on, Mary? 362 00:22:18,080 --> 00:22:21,240 Speaker 6: How are you all right? I am so sorry for 363 00:22:21,320 --> 00:22:22,840 Speaker 6: your friend's loss. 364 00:22:23,440 --> 00:22:26,399 Speaker 1: Well, thank you. It's terrible. It's absolutely heartbreaking. 365 00:22:27,119 --> 00:22:29,160 Speaker 6: It is. I can't believe I'm back in New Jersey. 366 00:22:29,200 --> 00:22:32,960 Speaker 6: I lived in Atlanta and Bortsland for thirty six years, 367 00:22:33,000 --> 00:22:34,600 Speaker 6: and now I'm back in New Jersey. 368 00:22:36,400 --> 00:22:36,440 Speaker 2: No. 369 00:22:36,600 --> 00:22:39,400 Speaker 1: I tried to talk borts maybe a year or two 370 00:22:39,440 --> 00:22:43,120 Speaker 1: ago into getting back on the air. He laughed at me, Oh, 371 00:22:43,200 --> 00:22:43,800 Speaker 1: I would love it. 372 00:22:43,800 --> 00:22:46,120 Speaker 6: If he got back on the air. He was one 373 00:22:46,119 --> 00:22:47,200 Speaker 6: of my very favorites. 374 00:22:48,080 --> 00:22:51,560 Speaker 1: Oh he's in real life, he's worse. He's like a 375 00:22:51,600 --> 00:22:54,720 Speaker 1: little child's like he thinks like a twelve year old. 376 00:22:54,800 --> 00:22:57,040 Speaker 1: On some levels, he really does, But on the other 377 00:22:57,480 --> 00:23:00,920 Speaker 1: other levels he's brilliant. 378 00:23:00,960 --> 00:23:04,159 Speaker 6: I met him at one of your Freedom concerts in Atlanta. 379 00:23:05,080 --> 00:23:07,600 Speaker 1: Yeah. Nah, he's a great guy. You know, even though 380 00:23:07,600 --> 00:23:09,760 Speaker 1: at one point we were competitors, we got along great, 381 00:23:09,960 --> 00:23:10,600 Speaker 1: We really did. 382 00:23:10,760 --> 00:23:11,080 Speaker 3: Yeah. 383 00:23:11,480 --> 00:23:15,880 Speaker 6: Yeah, Well, anyway, I'm calling about Jimmy Kimmel. I don't 384 00:23:15,920 --> 00:23:19,160 Speaker 6: know if you remember well Ben Stein. He was in 385 00:23:19,280 --> 00:23:24,920 Speaker 6: I believe, the Reagan administration, and after he got out 386 00:23:24,920 --> 00:23:28,639 Speaker 6: of politics, he had his own game show when Ben 387 00:23:28,760 --> 00:23:33,160 Speaker 6: Stein's Money, and Jimmy Kimmel was his sidekick on that show, 388 00:23:33,200 --> 00:23:34,960 Speaker 6: and he was actually conservative. 389 00:23:36,280 --> 00:23:38,360 Speaker 1: I don't know what happened to all of these guys, 390 00:23:38,440 --> 00:23:41,240 Speaker 1: and Jay Leno nailed it, and all was whining and 391 00:23:41,359 --> 00:23:45,399 Speaker 1: moaning and complaining, you know, from the left. You know, 392 00:23:45,480 --> 00:23:48,480 Speaker 1: Seth Myers is worried for his mental health of his 393 00:23:48,600 --> 00:23:51,720 Speaker 1: late night show is canceled. I've seen the ratings for 394 00:23:51,760 --> 00:23:55,640 Speaker 1: this guy show. It's like seven hundred thousand viewers a night. 395 00:23:56,440 --> 00:24:01,040 Speaker 1: You cannot sustain any program with that low love of viewership. 396 00:24:01,720 --> 00:24:04,639 Speaker 1: And CNN gets less than that every hour of a 397 00:24:04,720 --> 00:24:05,840 Speaker 1: twenty four hour day. 398 00:24:06,840 --> 00:24:10,560 Speaker 6: You remember when CNN first came on the air, when 399 00:24:11,480 --> 00:24:14,320 Speaker 6: you know, when we had Desert Storm, Desert Freedom, and 400 00:24:14,359 --> 00:24:17,480 Speaker 6: they had a reporter in Baghdad. They were awesome back then, 401 00:24:18,000 --> 00:24:21,240 Speaker 6: and they like Jimmy Kimmel, have all had brain transplants. 402 00:24:21,280 --> 00:24:24,640 Speaker 1: I think I don't know what happened. Let me give 403 00:24:24,640 --> 00:24:27,400 Speaker 1: you another example. Let me play, and I appreciate the call. 404 00:24:27,520 --> 00:24:31,879 Speaker 1: Thank you for joining us. Let me play Stephen Colbert 405 00:24:32,200 --> 00:24:35,879 Speaker 1: and this is him with Donald Trump as his guest, 406 00:24:36,040 --> 00:24:39,760 Speaker 1: thanking Donald Trump for running for president and talking about 407 00:24:39,760 --> 00:24:42,600 Speaker 1: how great Donald Trump is. How did he evolve from 408 00:24:42,680 --> 00:24:46,000 Speaker 1: this into what he's now become, you know, a virulent 409 00:24:46,080 --> 00:24:48,679 Speaker 1: anti Trump hater. I mean, thank you so much for 410 00:24:48,720 --> 00:24:51,399 Speaker 1: being here. Thank you speaking of doing a fantastic job. 411 00:24:52,000 --> 00:24:54,360 Speaker 1: You are setting the world on fire right now. We'll 412 00:24:54,400 --> 00:24:56,400 Speaker 1: have a lot of fun and I think we're hitting 413 00:24:56,440 --> 00:24:57,280 Speaker 1: some pretty good issues. 414 00:24:57,320 --> 00:24:58,720 Speaker 3: Steven, and I want. 415 00:24:58,600 --> 00:25:00,800 Speaker 1: To thank you not only for being here, I want 416 00:25:00,800 --> 00:25:05,840 Speaker 1: to thank you for running for president, because I'm not 417 00:25:05,880 --> 00:25:11,400 Speaker 1: gonna say. I'm not gonna say this stuff rights itself 418 00:25:11,640 --> 00:25:12,880 Speaker 1: Lampshire and Iowa. 419 00:25:13,240 --> 00:25:15,560 Speaker 4: No matter where we go, it seems that the response 420 00:25:15,600 --> 00:25:16,800 Speaker 4: it just gets better and better. 421 00:25:17,400 --> 00:25:21,840 Speaker 1: And the polls have been phenomenal. Was great, thirty three 422 00:25:21,880 --> 00:25:25,520 Speaker 1: percent that came out today, right, thirty three percent incredible. 423 00:25:25,680 --> 00:25:27,360 Speaker 1: I'm not surprised at all. I'll tell you why. 424 00:25:27,640 --> 00:25:29,800 Speaker 3: It is because I'm liking him a lot. 425 00:25:29,920 --> 00:25:30,280 Speaker 2: No, I'm not. 426 00:25:31,160 --> 00:25:31,960 Speaker 1: I'm liking you too. 427 00:25:32,760 --> 00:25:33,560 Speaker 5: I'm liking you too. 428 00:25:34,680 --> 00:25:37,400 Speaker 1: I'm not surprised at all because, especially in the Republican field, 429 00:25:37,480 --> 00:25:38,680 Speaker 1: because of a country. 430 00:25:38,359 --> 00:25:39,320 Speaker 4: We have to create. 431 00:25:39,560 --> 00:25:42,359 Speaker 3: Number one, we're gonna build a wall. Number two, we're learna. 432 00:25:42,680 --> 00:25:43,840 Speaker 1: Okay, listen to this. 433 00:25:43,920 --> 00:25:44,679 Speaker 3: Even with your. 434 00:25:44,560 --> 00:25:46,520 Speaker 1: Crowd, I hear they love the wall. 435 00:25:46,680 --> 00:25:47,520 Speaker 3: They love the wall. 436 00:25:47,760 --> 00:25:48,600 Speaker 1: People love the wall. 437 00:25:49,200 --> 00:25:51,480 Speaker 3: Well, Donald Trump, thank you for being here. 438 00:25:52,240 --> 00:25:58,080 Speaker 1: Donald Trump is the leader, well, the Republican nomination. We'll 439 00:25:58,080 --> 00:26:06,720 Speaker 1: be right back. Well, he went hardcore left in hardcore 440 00:26:07,240 --> 00:26:11,639 Speaker 1: Trump rangement syndrome, and he lost his audience, they lost money, 441 00:26:11,680 --> 00:26:14,800 Speaker 1: and now he's canceled. It's that simple quick break. Right 442 00:26:14,840 --> 00:26:17,480 Speaker 1: back to our busy phones are toll free telephone numbers 443 00:26:17,520 --> 00:26:20,320 Speaker 1: eight hundred and nine four one Sean. If you want 444 00:26:20,359 --> 00:26:26,399 Speaker 1: to join us, Hey, what's on your mind today? 445 00:26:29,600 --> 00:26:30,399 Speaker 2: Information? 446 00:26:30,720 --> 00:26:34,359 Speaker 5: Download Hannity and the breaking news you might have missed 447 00:26:34,359 --> 00:26:37,680 Speaker 5: today with Shawn's insider information. 448 00:26:38,840 --> 00:26:47,120 Speaker 1: Sean Hannity, Right back to our busy phones, eight hundred 449 00:26:47,160 --> 00:26:48,600 Speaker 1: and nine to four one Sean, if you want to 450 00:26:48,680 --> 00:26:52,440 Speaker 1: join us. Julius is in New Jersey. Hey, Julius, how 451 00:26:52,480 --> 00:26:53,720 Speaker 1: are you glad you called. 452 00:26:55,000 --> 00:26:56,800 Speaker 3: Yeah. 453 00:26:57,240 --> 00:27:00,520 Speaker 4: I just want to make this clear. Ivery think he 454 00:27:00,560 --> 00:27:05,240 Speaker 4: said about Mom Donnie is yeah, just utter crap song. 455 00:27:05,320 --> 00:27:06,760 Speaker 4: Let's be honest here. 456 00:27:06,880 --> 00:27:09,160 Speaker 1: Utter crap. Tell me one thing that I said about 457 00:27:09,200 --> 00:27:12,600 Speaker 1: Mom Donnie that's not true in terms of what he 458 00:27:12,680 --> 00:27:13,720 Speaker 1: himself has said. 459 00:27:13,880 --> 00:27:15,320 Speaker 3: No, no, no, no, no no, let's go into this whole. 460 00:27:15,480 --> 00:27:17,240 Speaker 1: No no, no, no, no, no, no no. Tell me one 461 00:27:17,240 --> 00:27:19,040 Speaker 1: thing that I said that is utter crap. 462 00:27:19,480 --> 00:27:19,600 Speaker 3: You know? 463 00:27:20,160 --> 00:27:23,240 Speaker 1: Yeah, did I did I say one thing about Mom 464 00:27:23,320 --> 00:27:26,239 Speaker 1: Donnie that is false? No? The answer is no. But 465 00:27:26,160 --> 00:27:28,080 Speaker 1: I can save you time. But if you can think 466 00:27:28,119 --> 00:27:29,240 Speaker 1: of something, go ahead. 467 00:27:29,640 --> 00:27:33,280 Speaker 3: The cops that you've called and the riots police, they 468 00:27:33,320 --> 00:27:36,399 Speaker 3: do start the they do start the problems. There's videos 469 00:27:36,440 --> 00:27:39,080 Speaker 3: out on YouTube that have been caught where they are 470 00:27:39,080 --> 00:27:41,479 Speaker 3: the ones who start the riot. And so Mom Donnie 471 00:27:41,520 --> 00:27:44,480 Speaker 3: is correct about them. And as for the defund the police, 472 00:27:44,640 --> 00:27:47,000 Speaker 3: I don't personally like the name of it, but the. 473 00:27:46,960 --> 00:27:50,439 Speaker 1: Idea that I'm not saying every cop is perfect, but 474 00:27:50,640 --> 00:27:53,720 Speaker 1: I would say, generally speaking, ninety nine percent of them 475 00:27:53,720 --> 00:27:56,359 Speaker 1: and not out there to start start fights with people, 476 00:27:56,440 --> 00:27:59,119 Speaker 1: and they put their lives in harm's way to protect people. 477 00:28:00,200 --> 00:28:03,840 Speaker 1: And this guy has been I mean, do you support 478 00:28:03,920 --> 00:28:07,240 Speaker 1: dismantling the police department? Do you support no ball laws? 479 00:28:08,119 --> 00:28:10,000 Speaker 3: You know what, when it comes to low level crimes 480 00:28:10,080 --> 00:28:12,080 Speaker 3: like smoke, like having a joint. 481 00:28:11,880 --> 00:28:14,560 Speaker 1: I didn't ask about low level crimes. We have videos 482 00:28:14,600 --> 00:28:18,200 Speaker 1: of people beating the hell out of officers and innocent 483 00:28:18,280 --> 00:28:21,480 Speaker 1: civilians in Times Square and they're let out on the 484 00:28:21,520 --> 00:28:24,359 Speaker 1: street because of New York's idiotic no bail laws. Do 485 00:28:24,400 --> 00:28:26,879 Speaker 1: you support it or not? And stop being a jackass? 486 00:28:27,080 --> 00:28:29,399 Speaker 3: Cops speak is that after the cops beat the crap 487 00:28:29,400 --> 00:28:30,320 Speaker 3: out of someone. 488 00:28:30,720 --> 00:28:33,320 Speaker 1: No, the people that were getting the crap beat out 489 00:28:33,320 --> 00:28:36,800 Speaker 1: of them were the cops and innocent civilians. If you 490 00:28:36,920 --> 00:28:39,440 Speaker 1: go and watch the video, you can see it. But 491 00:28:39,560 --> 00:28:43,400 Speaker 1: because of the aseni no bail laws that clearly you support, 492 00:28:43,960 --> 00:28:46,800 Speaker 1: they were let out within hours and then they flipped 493 00:28:46,800 --> 00:28:49,400 Speaker 1: the bird to the media before they left for another 494 00:28:49,480 --> 00:28:50,480 Speaker 1: sanctuary state. 495 00:28:51,080 --> 00:28:53,520 Speaker 3: I've seen the videos, so those and you're. 496 00:28:53,440 --> 00:28:55,560 Speaker 1: Okay, And you're okay with that. Beating up cops is 497 00:28:55,600 --> 00:28:56,160 Speaker 1: okay with you. 498 00:28:56,880 --> 00:29:00,440 Speaker 3: If a cops starts, yeah, cup starts problems, then guess 499 00:29:00,520 --> 00:29:03,640 Speaker 3: what you're not. You're not above the law, all right? 500 00:29:03,640 --> 00:29:06,080 Speaker 1: Should we defund the police completely? 501 00:29:07,280 --> 00:29:10,160 Speaker 4: Let's see no, how about this, Why don't we redirect 502 00:29:10,160 --> 00:29:12,520 Speaker 4: the money to things that could actually be more helpful? 503 00:29:12,560 --> 00:29:15,200 Speaker 1: First of all, okay, so read direct means defund because 504 00:29:15,200 --> 00:29:17,280 Speaker 1: they won't have money to pay cops, So no cops 505 00:29:17,360 --> 00:29:18,880 Speaker 1: to use support, no bail laws. 506 00:29:19,800 --> 00:29:22,120 Speaker 3: Can I finish? Or are you gonna just talk over me? 507 00:29:22,200 --> 00:29:23,640 Speaker 3: And and and put words in mind? 508 00:29:23,640 --> 00:29:25,400 Speaker 1: Now I'm trying to get to the bottom of what 509 00:29:25,440 --> 00:29:27,920 Speaker 1: you're saying here. So you want to defund the police, 510 00:29:28,520 --> 00:29:32,560 Speaker 1: you want no ball laws, anything else that any other genius, liberal, 511 00:29:32,640 --> 00:29:35,720 Speaker 1: idiotic idea you're you have rolling around in that sick 512 00:29:35,800 --> 00:29:37,240 Speaker 1: twisted mind ears. 513 00:29:37,640 --> 00:29:39,680 Speaker 3: Now the sick twisted mind is yours. Okay, Now, don't 514 00:29:39,880 --> 00:29:40,520 Speaker 3: talk over me. 515 00:29:41,000 --> 00:29:44,479 Speaker 1: Okay, my show. If I want to ask you questions, 516 00:29:44,560 --> 00:29:46,320 Speaker 1: I'll ask them and you can't stop me. 517 00:29:46,720 --> 00:29:49,280 Speaker 3: Don't don't lie about don't lie about what I'm saying. 518 00:29:50,640 --> 00:29:55,040 Speaker 1: Do you support yes or no? Defunding the police? Simple question? 519 00:29:55,880 --> 00:29:57,280 Speaker 3: Defunding in how much? 520 00:29:57,680 --> 00:29:58,160 Speaker 5: Totally? 521 00:29:58,360 --> 00:29:58,520 Speaker 4: No? 522 00:30:00,200 --> 00:30:04,800 Speaker 1: What percentage should be cut? What percentage fifty percent? Right now, 523 00:30:04,920 --> 00:30:07,320 Speaker 1: New York and it's height had forty one thousand cops, 524 00:30:07,360 --> 00:30:09,680 Speaker 1: so they have thirty one thousand. How many cops should 525 00:30:09,680 --> 00:30:11,480 Speaker 1: New York City have? For example, I. 526 00:30:11,400 --> 00:30:13,720 Speaker 4: Don't know Sean because guess what, I'm not the one 527 00:30:14,360 --> 00:30:16,440 Speaker 4: in charge of the paperwork, so I don't know what 528 00:30:16,480 --> 00:30:17,040 Speaker 4: I'm gonna go on. 529 00:30:17,120 --> 00:30:18,920 Speaker 1: I'm not in charge of the Well, maybe then you 530 00:30:18,920 --> 00:30:21,360 Speaker 1: shouldn't make you know all these statements if you don't 531 00:30:21,400 --> 00:30:23,560 Speaker 1: know anything about it. You didn't know there were thirty 532 00:30:23,560 --> 00:30:25,640 Speaker 1: one thousand cops when we used to have forty one 533 00:30:25,680 --> 00:30:28,680 Speaker 1: thousand cops. And let me ask you, do you support 534 00:30:28,720 --> 00:30:33,080 Speaker 1: replacing police with social workers? Do you support that? That's 535 00:30:33,080 --> 00:30:36,920 Speaker 1: what Mam Donnie wants your buddy. 536 00:30:37,000 --> 00:30:40,440 Speaker 4: Yeah, when it comes to dealing with people with mental issues, yeah, 537 00:30:40,480 --> 00:30:42,280 Speaker 4: because you know how many times cops have. 538 00:30:42,400 --> 00:30:45,320 Speaker 1: Murdered people, murdered people. 539 00:30:46,040 --> 00:30:48,080 Speaker 3: Yeah, you want to go a go of course, and 540 00:30:48,160 --> 00:30:50,200 Speaker 3: pay stupid. Yeah, let's pay stupid on this. 541 00:30:51,160 --> 00:30:53,840 Speaker 1: Not saying every cop is perfect. You do have bad apples, 542 00:30:53,880 --> 00:30:56,120 Speaker 1: but that's not the majority of them. You just seem 543 00:30:56,160 --> 00:30:58,320 Speaker 1: to hate the police. Let me ask you a question. 544 00:30:58,400 --> 00:31:00,560 Speaker 1: Do you violate laws? Do you deal with drugs? Do 545 00:31:00,600 --> 00:31:01,360 Speaker 1: you break the law? 546 00:31:02,160 --> 00:31:04,320 Speaker 3: Holy crap, you just love to go there with that. 547 00:31:05,720 --> 00:31:06,560 Speaker 3: You know, here's the thing. 548 00:31:07,480 --> 00:31:10,200 Speaker 1: You're a very angry young man. How old are you? 549 00:31:10,200 --> 00:31:11,080 Speaker 1: You're an angry man. 550 00:31:11,240 --> 00:31:13,280 Speaker 3: First, I'm fifty years old. 551 00:31:13,320 --> 00:31:15,400 Speaker 4: I was in the military, so I don't take crap 552 00:31:15,480 --> 00:31:16,200 Speaker 4: from anyone. 553 00:31:17,240 --> 00:31:19,800 Speaker 1: Well, I appreciate your service, but I will say this, 554 00:31:19,960 --> 00:31:23,040 Speaker 1: you're a very angry person that has lost every bit 555 00:31:23,080 --> 00:31:25,320 Speaker 1: of common sense you might have been born with when 556 00:31:25,360 --> 00:31:28,320 Speaker 1: you had it. Because social workers can't deal with the 557 00:31:28,360 --> 00:31:32,400 Speaker 1: mentally ill in a situation where they're threatening people with violence, 558 00:31:32,600 --> 00:31:37,040 Speaker 1: can happen, won't work, defund won't work, dismantle won't work, 559 00:31:37,880 --> 00:31:40,680 Speaker 1: and no bail laws are asinine. If you want to 560 00:31:40,720 --> 00:31:44,080 Speaker 1: support Asenine, you go right ahead, have a good day. 561 00:31:44,440 --> 00:31:45,640 Speaker 1: Appreciate you being with us.