1 00:00:02,520 --> 00:00:08,480 Speaker 1: It's that time, time, time, time, Luck and load. 2 00:00:10,119 --> 00:00:12,520 Speaker 2: Michael Very Show is on the air. 3 00:00:17,200 --> 00:00:19,079 Speaker 3: One of the things I didn't get to that I 4 00:00:19,120 --> 00:00:22,880 Speaker 3: wanted to make sure we did was Donald Trump talking 5 00:00:23,000 --> 00:00:27,920 Speaker 3: to Greg Guttfeld. And I want you to hear him 6 00:00:27,960 --> 00:00:30,080 Speaker 3: talking in a way that he does not always talk. 7 00:00:30,120 --> 00:00:31,840 Speaker 3: I'm not saying he's not a Christian. I'm not saying 8 00:00:31,880 --> 00:00:33,760 Speaker 3: he's not a man of faith. I'm not saying he 9 00:00:33,800 --> 00:00:38,400 Speaker 3: doesn't love God. But I want you to hear how comfortable, 10 00:00:38,880 --> 00:00:45,080 Speaker 3: how it rolls off his tongue to talk about him 11 00:00:45,159 --> 00:00:49,760 Speaker 3: being alive is because God chose. 12 00:00:49,560 --> 00:00:50,720 Speaker 4: For him to be alive. 13 00:00:51,840 --> 00:00:58,480 Speaker 3: You know, experiences change us and they reveal things to us, 14 00:00:59,040 --> 00:01:04,120 Speaker 3: and once that happens, you can't help but testify. And 15 00:01:04,160 --> 00:01:06,480 Speaker 3: that's what you're hearing right here. I didn't get this 16 00:01:06,640 --> 00:01:09,840 Speaker 3: in yesterday. I wanted to, and so I just I 17 00:01:09,880 --> 00:01:15,440 Speaker 3: think this is a really, really powerful As an evangelist, 18 00:01:17,440 --> 00:01:20,240 Speaker 3: I say I'm an evangelist. I'm not a preaching church. 19 00:01:20,319 --> 00:01:25,440 Speaker 3: But as an evangelical Christian, this round here is very, 20 00:01:25,520 --> 00:01:26,160 Speaker 3: very powerful. 21 00:01:26,200 --> 00:01:28,320 Speaker 5: I believe I have a lot of friends that wanted 22 00:01:28,360 --> 00:01:32,440 Speaker 5: to run, thinking about maybe not doing it, but here's 23 00:01:32,480 --> 00:01:37,040 Speaker 5: the only good thing is that it's always a consequential 24 00:01:37,160 --> 00:01:41,640 Speaker 5: president that gets shut at, and fortunately so far I've 25 00:01:41,640 --> 00:01:42,440 Speaker 5: been very lucky. 26 00:01:42,600 --> 00:01:45,520 Speaker 6: Or something is greater than all of us. 27 00:01:50,280 --> 00:01:53,400 Speaker 5: UK is something is up there, some one who's up there, 28 00:01:53,480 --> 00:01:54,920 Speaker 5: maybe watching over so I. 29 00:01:54,880 --> 00:01:55,920 Speaker 4: Think he's voting for you. 30 00:01:57,880 --> 00:01:58,360 Speaker 2: It's funny. 31 00:01:58,400 --> 00:02:02,200 Speaker 7: I was thought the most dangerous job is feeding the view. 32 00:02:02,640 --> 00:02:05,560 Speaker 4: You bring up God. You bring up God and you've 33 00:02:05,600 --> 00:02:06,880 Speaker 4: almost been killed twice. 34 00:02:07,000 --> 00:02:09,800 Speaker 3: Do you think more about your own mortality and what 35 00:02:09,919 --> 00:02:11,480 Speaker 3: happens after you. 36 00:02:11,320 --> 00:02:12,000 Speaker 6: Go move on? 37 00:02:12,360 --> 00:02:15,400 Speaker 5: Yeah, not about mortality, but I do think more about God, 38 00:02:15,600 --> 00:02:21,680 Speaker 5: because Okay, Butler was really I'm the greatest of all mercy. 39 00:02:21,720 --> 00:02:23,200 Speaker 6: If I'm not looking over there, and. 40 00:02:23,240 --> 00:02:26,960 Speaker 5: I mean a full turn exactly ninety degrees, I wouldn't 41 00:02:27,000 --> 00:02:29,280 Speaker 5: be here right now, and your ratings would be a 42 00:02:29,280 --> 00:02:29,960 Speaker 5: little bit lower. 43 00:02:30,000 --> 00:02:33,320 Speaker 4: Perhaps we kill me there. 44 00:02:33,480 --> 00:02:36,399 Speaker 6: We have to tell the story of how we first met. 45 00:02:36,400 --> 00:02:39,440 Speaker 6: The ratings over remember that one week he just played 46 00:02:39,480 --> 00:02:39,840 Speaker 6: that thing. 47 00:02:40,280 --> 00:02:44,720 Speaker 5: But I do think about that because the chart, it 48 00:02:44,800 --> 00:02:47,840 Speaker 5: was basically an immigration chart. We had the lowest numbers 49 00:02:47,840 --> 00:02:51,640 Speaker 5: that we've ever had in immigration, and I very rarely 50 00:02:51,720 --> 00:02:54,799 Speaker 5: use it, maybe fifteen twenty percent. It's always on my 51 00:02:54,919 --> 00:02:56,800 Speaker 5: left and it's always at the end of a speech. 52 00:02:57,440 --> 00:03:01,359 Speaker 5: So now I said, bring down the chart, right very beginning, almost. 53 00:03:01,080 --> 00:03:02,440 Speaker 6: Like the first sentence of the speech. 54 00:03:02,720 --> 00:03:05,079 Speaker 5: Bring down that chart because immigration is such a big 55 00:03:05,120 --> 00:03:07,880 Speaker 5: thing now with you know, our country being basically taken 56 00:03:07,880 --> 00:03:11,839 Speaker 5: over by Venezuela and lots of other people. So I said, 57 00:03:11,840 --> 00:03:15,120 Speaker 5: bring down the chart in the shot, dropstand and I 58 00:03:15,200 --> 00:03:17,720 Speaker 5: go look at those numbers, and I look over to 59 00:03:17,760 --> 00:03:21,280 Speaker 5: the right, ping, and that was that I knew something. 60 00:03:21,160 --> 00:03:24,760 Speaker 6: Was definitely wrong, and it was a mess. I touched. 61 00:03:24,800 --> 00:03:26,399 Speaker 6: I said, that's unusual. 62 00:03:27,560 --> 00:03:31,680 Speaker 3: Guy Benson is a Fox News contributor, and here he 63 00:03:31,800 --> 00:03:36,800 Speaker 3: is talking about the coverage of Trump, and he says 64 00:03:36,880 --> 00:03:42,320 Speaker 3: it has to be relentlessly negative because any success of 65 00:03:42,480 --> 00:03:46,560 Speaker 3: his is evidence of their failure. This is important to 66 00:03:46,680 --> 00:03:51,120 Speaker 3: understand about Trump. The reason the left wants Trump to 67 00:03:51,200 --> 00:03:55,080 Speaker 3: fail is because they said he would be hitler. They 68 00:03:55,120 --> 00:04:00,920 Speaker 3: said he would fail. So if he succeeds, it's not 69 00:04:01,560 --> 00:04:05,880 Speaker 3: just that he succeeds in the rest of the country benefits. 70 00:04:06,720 --> 00:04:12,360 Speaker 3: They fail because of that. It's a reflection on them. 71 00:04:12,920 --> 00:04:15,840 Speaker 3: So they are invested in his failure. 72 00:04:16,160 --> 00:04:18,880 Speaker 2: But it's nothing new with the US news media. 73 00:04:18,880 --> 00:04:23,560 Speaker 8: I've put news almost in air quotes, because these are activists, right. 74 00:04:23,600 --> 00:04:27,000 Speaker 8: They don't just hate his language and his style, they 75 00:04:27,040 --> 00:04:30,960 Speaker 8: hate his ideology, they hate his political party, they hate 76 00:04:31,000 --> 00:04:36,680 Speaker 8: his supporters, and so allowing any inch or two of 77 00:04:36,760 --> 00:04:40,479 Speaker 8: success to be admitted is almost a failure on their part, 78 00:04:40,520 --> 00:04:44,000 Speaker 8: which they refuse to concede. And so it's the drumbeat 79 00:04:44,040 --> 00:04:49,000 Speaker 8: of negativity, even when some positivity at least is certainly warranted. 80 00:04:49,360 --> 00:04:53,039 Speaker 8: I think with Democrats, most journalists are Democrats or even 81 00:04:53,120 --> 00:04:57,240 Speaker 8: further left than that. When a Democratic politician or president 82 00:04:57,320 --> 00:05:01,359 Speaker 8: or whomever is struggling, they still will often try to 83 00:05:01,480 --> 00:05:04,719 Speaker 8: prop that person up with a glass half full approach. 84 00:05:05,040 --> 00:05:09,200 Speaker 8: But with Trump, the glass is always empty, and it's 85 00:05:09,240 --> 00:05:11,960 Speaker 8: because they are activists who don't do their jobs. 86 00:05:12,720 --> 00:05:19,280 Speaker 3: Tools Gabbard spoke at the TPUSA conference this weekend. She's 87 00:05:19,320 --> 00:05:23,240 Speaker 3: the director of National Intelligence at least for now, and 88 00:05:23,320 --> 00:05:28,159 Speaker 3: at the Turning Point event she talked about the deep state. 89 00:05:29,160 --> 00:05:36,560 Speaker 3: And remember she's part of this president's administration. So for 90 00:05:36,640 --> 00:05:40,240 Speaker 3: her to say the deep state has a power over 91 00:05:40,440 --> 00:05:49,560 Speaker 3: her that she can't curtail should should tell you something 92 00:05:49,640 --> 00:05:53,080 Speaker 3: about the power of the deep state. 93 00:05:53,279 --> 00:05:55,400 Speaker 9: I think the campaign was hard. Do you think what 94 00:05:55,440 --> 00:05:59,760 Speaker 9: President Trump went through was hard, and it was the 95 00:06:00,120 --> 00:06:05,080 Speaker 9: road ahead will not be easy. I can attest personally 96 00:06:05,880 --> 00:06:08,840 Speaker 9: that in my work as the Director of National Intelligence, 97 00:06:08,920 --> 00:06:12,920 Speaker 9: the deep state is fighting us every step of the way, 98 00:06:14,080 --> 00:06:16,920 Speaker 9: and it exists within every single federal agency. 99 00:06:17,000 --> 00:06:18,880 Speaker 4: And so I feel the. 100 00:06:18,880 --> 00:06:21,919 Speaker 9: Same frustration that I see many of you expressing on 101 00:06:22,279 --> 00:06:26,560 Speaker 9: X or in different platforms about why aren't things going faster? 102 00:06:26,720 --> 00:06:27,880 Speaker 2: Why aren't we getting. 103 00:06:27,600 --> 00:06:29,279 Speaker 4: Results more quickly? 104 00:06:29,520 --> 00:06:36,080 Speaker 9: I feel this frustration every single day. We are pushing hard, 105 00:06:36,960 --> 00:06:39,000 Speaker 9: know that they are pushing hard back. 106 00:06:40,520 --> 00:06:46,200 Speaker 3: This is Laura Ingram speaking at that event, and she 107 00:06:46,320 --> 00:06:52,920 Speaker 3: starts with the issue of the Epstein investigation, and she 108 00:06:53,800 --> 00:06:54,839 Speaker 3: is surprised. 109 00:06:54,960 --> 00:07:04,200 Speaker 4: I think that she kind of gets bood and. 110 00:07:05,720 --> 00:07:11,200 Speaker 3: Then well, just listen to this and turning point USA 111 00:07:12,280 --> 00:07:15,120 Speaker 3: is Donald Trump's I don't know that there's a single 112 00:07:15,200 --> 00:07:22,120 Speaker 3: gathering that is a higher density of Trump hardcore fans. 113 00:07:23,200 --> 00:07:27,280 Speaker 3: Not one person cheers at the beginning, and there is 114 00:07:27,320 --> 00:07:31,240 Speaker 3: a raucous applause at the end, a raucous applause at 115 00:07:31,280 --> 00:07:35,080 Speaker 3: the end. I think the base is unhappy, and I 116 00:07:35,120 --> 00:07:39,520 Speaker 3: don't think this changes anytime soon. I think something has 117 00:07:39,680 --> 00:07:43,440 Speaker 3: to be done about the Epstein list. I don't think 118 00:07:43,440 --> 00:07:46,600 Speaker 3: it's going away. Maybe I'm wrong, but just listen to this. 119 00:07:47,200 --> 00:07:53,160 Speaker 10: How many of you are satisfied you can clap satisfied 120 00:07:53,200 --> 00:07:55,360 Speaker 10: with the results of the Epstein investigation. 121 00:07:55,640 --> 00:07:56,120 Speaker 11: Clap? 122 00:08:01,320 --> 00:08:03,960 Speaker 4: Okay, I told you to clap. You guys are listening. 123 00:08:04,760 --> 00:08:07,600 Speaker 4: I'm not going to grade you want to cur so. 124 00:08:07,960 --> 00:08:09,760 Speaker 6: I was going to get to that. How many of 125 00:08:09,760 --> 00:08:10,360 Speaker 6: you are. 126 00:08:10,200 --> 00:08:12,920 Speaker 10: Not satisfied with the results of the. 127 00:08:12,960 --> 00:08:16,560 Speaker 12: Arrest Americans a nation that can be defined in a 128 00:08:16,680 --> 00:08:17,320 Speaker 12: single word. 129 00:08:17,760 --> 00:08:20,320 Speaker 4: I was going to put him number nine. 130 00:08:20,400 --> 00:08:23,760 Speaker 7: Not only was it authentic frontier jibbery Phil. 131 00:08:23,600 --> 00:08:27,440 Speaker 4: Ex Presto Curry Scene of the Day, Michael Berry Show. 132 00:08:28,000 --> 00:08:29,040 Speaker 4: Let's go back to the. 133 00:08:28,960 --> 00:08:34,920 Speaker 3: Issue of illegal immigration, deportation, ICE raids. And this is 134 00:08:35,280 --> 00:08:42,520 Speaker 3: shockingly Bernie Sanders on CNN pointing out with regard to 135 00:08:42,600 --> 00:08:47,760 Speaker 3: border security that democrats, the Democrats have failed. This is 136 00:08:47,800 --> 00:08:49,240 Speaker 3: Bernie Sanders saying this, Mind you. 137 00:08:49,800 --> 00:08:52,680 Speaker 4: You don't have a country without borders. Have you have borders? 138 00:08:52,720 --> 00:08:55,760 Speaker 4: You should enforce that border. Democrats have not done. 139 00:08:56,360 --> 00:08:58,840 Speaker 13: It's going to job as they should period end up discussion. 140 00:08:58,880 --> 00:09:00,640 Speaker 2: That's correct, But I will. 141 00:09:00,480 --> 00:09:01,439 Speaker 4: Tell you something else. 142 00:09:02,600 --> 00:09:06,600 Speaker 13: In this country right now, you have millions and millions 143 00:09:06,600 --> 00:09:12,240 Speaker 13: of people who came from Latin America or wherever, but 144 00:09:12,480 --> 00:09:17,240 Speaker 13: working in meat packing plants, They're harvesting crops. They've been 145 00:09:17,320 --> 00:09:23,320 Speaker 13: in this country for years, their law abiding, they are 146 00:09:23,600 --> 00:09:28,160 Speaker 13: paying taxes, and they are doing some of the most dangerous, 147 00:09:28,559 --> 00:09:32,040 Speaker 13: underpaid work in America. So we have to deal with 148 00:09:32,080 --> 00:09:35,199 Speaker 13: immigration broadly, with comprehensive immigration reform. 149 00:09:35,440 --> 00:09:36,280 Speaker 4: We have failed in that. 150 00:09:36,760 --> 00:09:39,480 Speaker 1: Democrats Republicans have failed in that for many, many years. 151 00:09:39,640 --> 00:09:41,760 Speaker 4: We need right now to come up. 152 00:09:41,679 --> 00:09:43,960 Speaker 13: With some way to protect these workers who are. 153 00:09:43,840 --> 00:09:46,760 Speaker 1: Maintaining the economy. Trump wants to throw them all out fight. 154 00:09:47,120 --> 00:09:50,640 Speaker 1: The price of food will double or triple. God knows 155 00:09:50,679 --> 00:09:52,880 Speaker 1: what will happen to nursing homes in this country. So 156 00:09:52,920 --> 00:09:57,000 Speaker 1: we need a rational, humane solution, not having people with 157 00:09:57,120 --> 00:09:59,240 Speaker 1: masks on them throwing people into vans. 158 00:10:00,520 --> 00:10:07,720 Speaker 3: Here is Joyce Vance, an MSNBC contributor, basically saying we're 159 00:10:07,760 --> 00:10:11,640 Speaker 3: going to shoot ice agents and we know that people 160 00:10:11,640 --> 00:10:12,040 Speaker 3: have done that. 161 00:10:12,120 --> 00:10:14,800 Speaker 11: Now, you know what I've never seen a federal agent 162 00:10:14,920 --> 00:10:18,120 Speaker 11: working a case do is pull a mask up so 163 00:10:18,320 --> 00:10:21,160 Speaker 11: nobody knows who they are and go out and terrorize 164 00:10:21,160 --> 00:10:24,840 Speaker 11: a civilian population. And I think it's important for us 165 00:10:24,880 --> 00:10:28,200 Speaker 11: at this point to be very plain speaking, when we 166 00:10:28,280 --> 00:10:31,760 Speaker 11: say that this is not normal, it's not acceptable, and 167 00:10:31,800 --> 00:10:35,120 Speaker 11: it's a danger sign. You know, we are well past 168 00:10:35,200 --> 00:10:38,400 Speaker 11: the point where we can just identify danger signs and say, oh, 169 00:10:38,400 --> 00:10:41,920 Speaker 11: there might be problems down the road. The problems are here, 170 00:10:42,160 --> 00:10:45,000 Speaker 11: they're in the right now, and as we see people 171 00:10:45,080 --> 00:10:48,360 Speaker 11: being pulled off the streets, you know, the danger to 172 00:10:48,480 --> 00:10:51,960 Speaker 11: law enforcement, quite frankly, is that when you're masked like 173 00:10:52,000 --> 00:10:55,000 Speaker 11: that and people don't know who you are, someone might 174 00:10:55,120 --> 00:10:58,920 Speaker 11: exercise their lawful right of self defense to protect themselves, 175 00:10:58,960 --> 00:10:59,960 Speaker 11: thinking they're being kids. 176 00:11:00,160 --> 00:11:03,000 Speaker 6: Now, so the notion that this is for law. 177 00:11:02,880 --> 00:11:06,720 Speaker 11: Enforcements protection is utterly ludicrous, and we need to do 178 00:11:06,800 --> 00:11:07,400 Speaker 11: away with that. 179 00:11:08,480 --> 00:11:11,119 Speaker 3: Remember back when Anna Navarro was supposed to be a Republican, 180 00:11:11,679 --> 00:11:14,040 Speaker 3: she was a Latina Republican and we would have to 181 00:11:14,080 --> 00:11:16,360 Speaker 3: hear her tell us, you know, I'm a Latina, but 182 00:11:16,480 --> 00:11:17,479 Speaker 3: I'm a Republican. 183 00:11:17,800 --> 00:11:19,360 Speaker 4: Well then she wasn't a Republican. 184 00:11:20,040 --> 00:11:25,000 Speaker 3: And now all she does and is trash Republicans and 185 00:11:25,080 --> 00:11:29,040 Speaker 3: take up every argument of a liberal Democrat. So she 186 00:11:29,240 --> 00:11:33,560 Speaker 3: was playing, she was costplaying as a conservative Republican. And 187 00:11:33,600 --> 00:11:36,520 Speaker 3: isn't it interesting she's Latina and she's this wait, well, no, 188 00:11:36,600 --> 00:11:39,720 Speaker 3: she never was that way. Here she is dismissing the 189 00:11:39,800 --> 00:11:44,199 Speaker 3: opinion of a CNN panelist because he's a white man. 190 00:11:44,800 --> 00:11:46,760 Speaker 14: Also, I want to respond to you saying that I 191 00:11:46,800 --> 00:11:48,960 Speaker 14: was hyperbolic when I talked about. 192 00:11:48,720 --> 00:11:49,320 Speaker 6: A reign of terre. 193 00:11:50,559 --> 00:11:53,920 Speaker 14: No, it might be hyperbolic for you as a white man. Oh, 194 00:11:54,040 --> 00:11:56,720 Speaker 14: it's certainly not hyperbolic for me as a Latino. 195 00:11:56,880 --> 00:12:00,440 Speaker 15: No, I'm not being racist opinion being away. 196 00:12:00,480 --> 00:12:03,040 Speaker 14: Well, I'm not dismissing your opinion. I am telling you 197 00:12:03,120 --> 00:12:08,440 Speaker 14: that what Latino, the Latino community, the brown community in America. Okay, Well, 198 00:12:08,480 --> 00:12:10,800 Speaker 14: let me speak with my voice. I mean you said 199 00:12:10,800 --> 00:12:14,800 Speaker 14: I was being hyperbolic. Me, I'm not being a white 200 00:12:14,800 --> 00:12:15,640 Speaker 14: man as an insult. 201 00:12:15,920 --> 00:12:17,320 Speaker 6: When you invoke it to dismiss my. 202 00:12:17,440 --> 00:12:20,880 Speaker 14: Being a white man as an insult, do you think 203 00:12:21,040 --> 00:12:26,559 Speaker 14: do you do you think Latinos are living circumstances right. 204 00:12:26,559 --> 00:12:30,160 Speaker 16: Now We're about to have a whole conversation about that 205 00:12:30,320 --> 00:12:33,040 Speaker 16: very thing. But I just want to make a point 206 00:12:33,160 --> 00:12:36,200 Speaker 16: that Brad, all she's saying is that her view of 207 00:12:36,200 --> 00:12:37,920 Speaker 16: the situation is different from yours. 208 00:12:38,400 --> 00:12:39,800 Speaker 4: I don't think that's an insult. 209 00:12:39,559 --> 00:12:44,040 Speaker 12: Basically said, she just said, I see it, I see it. 210 00:12:44,440 --> 00:12:46,920 Speaker 4: She said, I see it differently. 211 00:12:46,520 --> 00:12:48,360 Speaker 16: From you, which is not an insult. 212 00:12:48,400 --> 00:12:50,559 Speaker 2: It's not and it's also not a racial. 213 00:12:52,559 --> 00:12:58,560 Speaker 3: We've been having some fun among the team. This was 214 00:12:58,960 --> 00:13:02,480 Speaker 3: a montage put together by somebody calling themselves the clip Keeper, 215 00:13:02,559 --> 00:13:04,960 Speaker 3: like the cryft Keeper, but the clipped the clip the 216 00:13:05,000 --> 00:13:10,040 Speaker 3: clip keeper, and it is a montage of Joe Biden 217 00:13:10,880 --> 00:13:15,000 Speaker 3: and Barack Obama telling people to learn to code when 218 00:13:15,040 --> 00:13:18,000 Speaker 3: they lost their jobs. Hey coal miners, we're gonna put 219 00:13:18,040 --> 00:13:23,520 Speaker 3: you out of business. Learn the code. Hey oil oil 220 00:13:23,600 --> 00:13:26,720 Speaker 3: field guys, we're gonna put you out of business. Learn 221 00:13:26,800 --> 00:13:28,160 Speaker 3: the code. 222 00:13:28,800 --> 00:13:29,760 Speaker 4: So I want you to. 223 00:13:29,760 --> 00:13:32,760 Speaker 3: Think about this. I want this top of mind for you. 224 00:13:33,440 --> 00:13:37,600 Speaker 3: Every time you see that the government is laying off 225 00:13:39,520 --> 00:13:44,240 Speaker 3: lazy federal employees as part of DOGE. Every time you 226 00:13:44,320 --> 00:13:46,480 Speaker 3: hear this and they go, but we're gonna lose our gent, 227 00:13:47,280 --> 00:13:48,319 Speaker 3: learn the code. 228 00:13:48,600 --> 00:13:51,160 Speaker 12: Anybody can go down from three hundred to three thousand 229 00:13:51,160 --> 00:13:51,880 Speaker 12: feet in the mind. 230 00:13:52,280 --> 00:13:54,480 Speaker 6: Sure he can learn how to program as well. 231 00:13:55,000 --> 00:13:57,920 Speaker 17: No one's born a computer scientist, but with a little 232 00:13:57,920 --> 00:14:01,560 Speaker 17: hard work and some math and science, just about anyone 233 00:14:01,600 --> 00:14:02,120 Speaker 17: can become. 234 00:14:02,720 --> 00:14:06,400 Speaker 4: Anybody can throw cole into a furnace. You can learn 235 00:14:06,440 --> 00:14:07,920 Speaker 4: how to program for Gud's sake. 236 00:14:08,000 --> 00:14:10,560 Speaker 17: You're a young man or a young woman, whether you 237 00:14:10,679 --> 00:14:13,920 Speaker 17: live in a city or a rural area, computers are 238 00:14:13,960 --> 00:14:15,439 Speaker 17: going to be a big part of your future. 239 00:14:15,920 --> 00:14:17,720 Speaker 2: That future is yours to shape. 240 00:14:19,240 --> 00:14:20,720 Speaker 4: Again, another bit of audio. 241 00:14:21,160 --> 00:14:26,000 Speaker 3: Look, there are things that we play because like you, 242 00:14:26,200 --> 00:14:30,840 Speaker 3: I'm always reading, always listening, always watching, and there are 243 00:14:30,920 --> 00:14:33,400 Speaker 3: things that I see that catch my attention. And I think, 244 00:14:33,440 --> 00:14:35,560 Speaker 3: you know what, We're going to amplify that on the show. 245 00:14:36,480 --> 00:14:38,800 Speaker 3: You can't always speak to the veracity of it, you 246 00:14:38,840 --> 00:14:43,360 Speaker 3: can't always attest that it's accurate. But this is a 247 00:14:43,400 --> 00:14:48,960 Speaker 3: woman named Nita Farahani. She's a former Obama appointee. And 248 00:14:49,040 --> 00:14:53,720 Speaker 3: this was at the dreaded World Economic Forum, And I 249 00:14:53,800 --> 00:14:57,280 Speaker 3: will let what she says speak for itself. And Jim, 250 00:14:57,320 --> 00:15:00,840 Speaker 3: will you play this and then Paul for a second 251 00:15:01,440 --> 00:15:04,920 Speaker 3: and play it again. And the reason is you've got 252 00:15:04,920 --> 00:15:07,040 Speaker 3: to hear it second. The first time you hear it, 253 00:15:07,120 --> 00:15:09,720 Speaker 3: you'll think you didn't hear it, right, it's only thirty 254 00:15:09,760 --> 00:15:12,840 Speaker 3: seconds long. The second time you hear it, you know 255 00:15:12,920 --> 00:15:18,040 Speaker 3: what's coming. So now you can really really listen carefully seeing. 256 00:15:17,720 --> 00:15:20,120 Speaker 18: That person commit the crime, even though that person's utterly 257 00:15:20,160 --> 00:15:23,760 Speaker 18: innocence that it becomes a planted memory, and so there's 258 00:15:23,800 --> 00:15:26,640 Speaker 18: some really interesting research that we can plant false memories 259 00:15:26,640 --> 00:15:30,560 Speaker 18: in the brain and in a different context. One of 260 00:15:30,560 --> 00:15:33,120 Speaker 18: the emerging areas that's really interesting in law ner science 261 00:15:33,200 --> 00:15:38,360 Speaker 18: is pain detection, and once we understand the circuitrees that 262 00:15:39,360 --> 00:15:42,800 Speaker 18: cause pain, I guess the question is could we then 263 00:15:42,840 --> 00:15:47,360 Speaker 18: instill pain and use that in many coercive measures in 264 00:15:47,360 --> 00:15:51,640 Speaker 18: the legal system as well? Having seeing that person commit 265 00:15:51,720 --> 00:15:55,000 Speaker 18: the crime, even though that person's utterly innocence, that it 266 00:15:55,040 --> 00:15:57,720 Speaker 18: becomes a planted memory. And so there's some really interesting 267 00:15:57,760 --> 00:16:00,000 Speaker 18: research that we can plant false memories in the brain 268 00:16:00,960 --> 00:16:04,600 Speaker 18: and in a different context. One of the emerging areas 269 00:16:04,640 --> 00:16:07,720 Speaker 18: that's really interesting in law inner science is pain detection, 270 00:16:08,720 --> 00:16:13,680 Speaker 18: and once we understand the circuitrees that cause pain, just 271 00:16:13,720 --> 00:16:17,680 Speaker 18: the question is could we then instill pain and use 272 00:16:17,760 --> 00:16:21,440 Speaker 18: that in many coercive measures in the legal system as well? 273 00:16:21,760 --> 00:16:24,880 Speaker 2: I did arrist me or take me to Texas? So 274 00:16:25,040 --> 00:16:26,120 Speaker 2: talking about gets. 275 00:16:25,960 --> 00:16:30,480 Speaker 3: Out of this state, I think, Michael Berry rob I 276 00:16:30,640 --> 00:16:32,600 Speaker 3: like it. 277 00:16:32,920 --> 00:16:33,160 Speaker 17: I have. 278 00:16:34,080 --> 00:16:37,120 Speaker 3: I've been hesitant to bring this up yet because we 279 00:16:37,200 --> 00:16:41,280 Speaker 3: have had we still have almost one hundred people missing 280 00:16:41,360 --> 00:16:47,160 Speaker 3: from the floods in Central Texas. Most Americans were. Most 281 00:16:47,160 --> 00:16:49,920 Speaker 3: Texans were affected in one way or another by somebody 282 00:16:50,000 --> 00:16:53,920 Speaker 3: they knew who died in those floods or is still missing, 283 00:16:54,360 --> 00:16:57,640 Speaker 3: or somebody they know who died, or at a minimum, 284 00:16:57,680 --> 00:17:02,080 Speaker 3: somebody they know who knows somebody who knew somebody who died. 285 00:17:03,600 --> 00:17:10,480 Speaker 3: The degree of separation is not many for most Texans. 286 00:17:12,000 --> 00:17:15,400 Speaker 3: There were lots of little girls at Camp Missed It 287 00:17:15,520 --> 00:17:21,879 Speaker 3: a long standing girls summer camp. The girls have been 288 00:17:21,920 --> 00:17:24,680 Speaker 3: going to. Their mothers went there, their grandmothers went there 289 00:17:24,720 --> 00:17:25,240 Speaker 3: before them. 290 00:17:25,720 --> 00:17:26,600 Speaker 4: They loved going there. 291 00:17:26,600 --> 00:17:28,320 Speaker 3: They would go there as campers, and then they would 292 00:17:28,359 --> 00:17:32,120 Speaker 3: come back as counselors the year between their scene, after 293 00:17:32,119 --> 00:17:34,080 Speaker 3: they graduated high school, before they started college. 294 00:17:34,119 --> 00:17:35,479 Speaker 4: It's a tradition. It's a ritual. 295 00:17:35,760 --> 00:17:38,199 Speaker 3: Some of these families, they have done this for sixty 296 00:17:38,240 --> 00:17:43,880 Speaker 3: seventy years. It's a terrible, terrible, horrible thing. Now because 297 00:17:43,920 --> 00:17:50,879 Speaker 3: of that, we have talked about how long to grieve 298 00:17:51,680 --> 00:17:55,600 Speaker 3: and how long to hold off before we start talking 299 00:17:55,720 --> 00:18:02,560 Speaker 3: about accountability. I believe every person that dies deserves accountability. 300 00:18:03,000 --> 00:18:05,960 Speaker 3: I believe they're families, and I believe every person in 301 00:18:05,960 --> 00:18:07,320 Speaker 3: the future deserves accountability. 302 00:18:07,359 --> 00:18:08,879 Speaker 4: And I don't know that there's a good time. 303 00:18:09,960 --> 00:18:13,120 Speaker 3: We're not having that big discussion today, but I will 304 00:18:13,160 --> 00:18:15,400 Speaker 3: play something that has been on my mind. A lot 305 00:18:16,440 --> 00:18:20,240 Speaker 3: so fellow named Augustus de Rico. He's the CEO of 306 00:18:20,400 --> 00:18:24,320 Speaker 3: company called rain Maker. This is on the Sean Ryan podcast. 307 00:18:25,240 --> 00:18:29,040 Speaker 3: The reason the company is called rain Maker is because 308 00:18:29,080 --> 00:18:34,120 Speaker 3: they put silver iodine in clouds, which is called clouds seating, 309 00:18:34,880 --> 00:18:37,399 Speaker 3: and that causes clouds to yield. 310 00:18:37,400 --> 00:18:38,280 Speaker 4: Much more rain. 311 00:18:40,000 --> 00:18:43,480 Speaker 3: I believe it is now established fact that there was 312 00:18:43,560 --> 00:18:48,360 Speaker 3: cloud seating done two days before the horrific Curville floods. 313 00:18:49,400 --> 00:18:52,080 Speaker 3: I want to be clear, I'm not opening up the 314 00:18:52,119 --> 00:18:56,480 Speaker 3: floor to conversation today, but I want this planted in 315 00:18:56,560 --> 00:18:59,720 Speaker 3: your mind so that when we do have this conversation 316 00:19:00,760 --> 00:19:05,120 Speaker 3: you will remember this isn't some crazy conspiracy. 317 00:19:05,160 --> 00:19:08,879 Speaker 4: This is the CEO of a guy who actually does it. 318 00:19:09,320 --> 00:19:12,399 Speaker 7: The drones that we've built are the only ones in 319 00:19:12,480 --> 00:19:15,359 Speaker 7: NATO that are under fifty five pounds that can survive 320 00:19:15,400 --> 00:19:16,600 Speaker 7: in severe ice and conditions. 321 00:19:16,800 --> 00:19:18,800 Speaker 2: This is really cold water, right, So we. 322 00:19:18,800 --> 00:19:22,320 Speaker 7: Have these resistors inlaid onto the vehicle that melt the 323 00:19:22,359 --> 00:19:25,359 Speaker 7: ice off as it decreases under the drone. So you 324 00:19:25,359 --> 00:19:28,000 Speaker 7: find the water with the radar, you fly your drone 325 00:19:28,040 --> 00:19:30,080 Speaker 7: up into these conditions hope that it survives. 326 00:19:30,760 --> 00:19:32,880 Speaker 2: You disperse the material, so. 327 00:19:32,800 --> 00:19:36,719 Speaker 7: We have this airsol dispersion system that basically just emits 328 00:19:36,840 --> 00:19:39,680 Speaker 7: individual particles that the water freezes onto. 329 00:19:39,960 --> 00:19:41,360 Speaker 2: And then with the same. 330 00:19:41,240 --> 00:19:44,680 Speaker 7: Radar you found the water with, you can now see 331 00:19:44,680 --> 00:19:48,680 Speaker 7: it freezing, growing into bigger snowflakes and then eventually bigger 332 00:19:48,720 --> 00:19:50,720 Speaker 7: drops and measure how much precipitates downwind. 333 00:19:51,680 --> 00:19:53,240 Speaker 2: So you're essentially. 334 00:19:55,000 --> 00:19:57,359 Speaker 7: Introducing some type of an agent that has weight to 335 00:19:57,480 --> 00:19:59,320 Speaker 7: it and that's pulling. 336 00:19:59,400 --> 00:20:00,640 Speaker 2: Your internal water down. 337 00:20:00,680 --> 00:20:04,199 Speaker 7: You're introducing an agent that the water freezes onto, and 338 00:20:04,240 --> 00:20:06,520 Speaker 7: then it's just the weight of the water that pulls 339 00:20:06,520 --> 00:20:06,840 Speaker 7: it down. 340 00:20:07,000 --> 00:20:10,680 Speaker 2: So for every you know, pound of. 341 00:20:10,560 --> 00:20:13,199 Speaker 7: This that you put up, you get in access of 342 00:20:13,240 --> 00:20:15,720 Speaker 7: forty million pounds down on the ground forty million pounds 343 00:20:15,760 --> 00:20:20,359 Speaker 7: of water. Forty million Wow. Yeah, how many drones does 344 00:20:20,400 --> 00:20:21,119 Speaker 7: it take to do this? 345 00:20:22,240 --> 00:20:22,320 Speaker 17: Like? 346 00:20:22,400 --> 00:20:23,600 Speaker 2: Three, that's it. 347 00:20:24,200 --> 00:20:26,159 Speaker 7: So what we do is we juggle them, so one 348 00:20:26,240 --> 00:20:28,040 Speaker 7: drone will go up once that. 349 00:20:27,960 --> 00:20:29,639 Speaker 2: Reaches out to Toude, the next drone will go up. 350 00:20:29,760 --> 00:20:32,199 Speaker 7: The first rone, after dispersing its full payload, will come 351 00:20:32,240 --> 00:20:34,199 Speaker 7: down and you'll just cycle that as long as the 352 00:20:34,200 --> 00:20:37,080 Speaker 7: conditions persist. So sometimes that means, you know, you're out 353 00:20:37,119 --> 00:20:38,480 Speaker 7: there for two hours. 354 00:20:38,840 --> 00:20:40,600 Speaker 2: Are a forward operation specialists. 355 00:20:40,640 --> 00:20:46,320 Speaker 7: So it's a lot of former vets, National for Service guys, 356 00:20:46,520 --> 00:20:49,280 Speaker 7: oil roughnecks, people that are willing just to live out 357 00:20:49,320 --> 00:20:52,399 Speaker 7: on a mountain for nine months at a time. Speaking 358 00:20:52,440 --> 00:20:55,240 Speaker 7: of which apply to rainmaker dot com slash careers to 359 00:20:55,280 --> 00:20:57,560 Speaker 7: become a Ford operation specialist because we need like fifty 360 00:20:57,640 --> 00:20:58,800 Speaker 7: dudes in the next three months. 361 00:21:00,119 --> 00:21:04,720 Speaker 3: One of the experts to emerge from COVID, one of 362 00:21:04,720 --> 00:21:07,560 Speaker 3: the real heroes in America is a fellow named doctor 363 00:21:07,600 --> 00:21:11,480 Speaker 3: Peter McCullough. And he came to my attention by another 364 00:21:11,560 --> 00:21:14,439 Speaker 3: hero during that era, and that is Mary Tally Boden, 365 00:21:14,520 --> 00:21:17,679 Speaker 3: also a doctor. She was at the time my sinus doctor, 366 00:21:17,920 --> 00:21:22,520 Speaker 3: and she became famous, I mean really big during COVID 367 00:21:23,000 --> 00:21:26,320 Speaker 3: for speaking out on what she was seeing and how 368 00:21:26,320 --> 00:21:29,959 Speaker 3: the medical industry was lying to people. Doctor Peter McCullough 369 00:21:30,000 --> 00:21:33,080 Speaker 3: here is talking to Senator Ron Johnson and he's talking 370 00:21:33,119 --> 00:21:41,440 Speaker 3: about an autopsy study of people who died because they 371 00:21:41,520 --> 00:21:43,480 Speaker 3: took the COVID vaccine. 372 00:21:44,119 --> 00:21:45,560 Speaker 4: And I think my brother is one of these. 373 00:21:46,560 --> 00:21:49,480 Speaker 3: This is people who didn't die of COVID, but died 374 00:21:50,119 --> 00:21:53,800 Speaker 3: from the COVID vaccine, the number is almost seventy four percent. 375 00:21:54,400 --> 00:21:58,439 Speaker 19: This should frighten you. The best data are autopsies. So 376 00:21:58,480 --> 00:22:02,639 Speaker 19: in the largest autopsy series published today. I know because 377 00:22:02,680 --> 00:22:06,560 Speaker 19: I'm the senior author of all the death death we 378 00:22:06,680 --> 00:22:08,639 Speaker 19: examined and we re reviewed them. 379 00:22:08,640 --> 00:22:10,240 Speaker 4: We had an adjudication committee, we. 380 00:22:10,200 --> 00:22:13,840 Speaker 19: Had ways of arbitration deciding on did the vaccine cause death? 381 00:22:14,000 --> 00:22:16,679 Speaker 19: The answer is of these cases that came in for 382 00:22:16,760 --> 00:22:22,080 Speaker 19: autopsy after vaccination, seventy three point nine percent of individuals 383 00:22:22,920 --> 00:22:25,760 Speaker 19: it was determined that the vaccine was the cause of death. 384 00:22:26,720 --> 00:22:30,000 Speaker 3: Terrible story out of Texas, actually out of the greater 385 00:22:30,040 --> 00:22:33,000 Speaker 3: Houston area. And this is just a reminder of every 386 00:22:33,000 --> 00:22:35,760 Speaker 3: one of your parents because my son Michael T. Had 387 00:22:35,840 --> 00:22:41,840 Speaker 3: rabdo before his senior year, so two years ago and rabdomyolysis. 388 00:22:41,920 --> 00:22:43,600 Speaker 3: I guess it's called I might be pronouncing. 389 00:22:43,600 --> 00:22:44,960 Speaker 4: The last part is. 390 00:22:44,960 --> 00:22:50,440 Speaker 3: Where the body overheats, dehydrates and the kidney shut down. 391 00:22:51,240 --> 00:22:56,359 Speaker 3: So you go from a toughness competition to actually dying. 392 00:22:57,320 --> 00:22:58,320 Speaker 4: And it's a real thing. 393 00:22:59,240 --> 00:23:02,680 Speaker 3: And every summer, if you were to look up rabdough 394 00:23:03,160 --> 00:23:06,120 Speaker 3: across the country, you will see that this happens. Now 395 00:23:06,119 --> 00:23:09,360 Speaker 3: there are people who are more predisposed towards than others 396 00:23:09,600 --> 00:23:12,160 Speaker 3: to dehydrate. Based on how much you sweat, you sweat 397 00:23:12,160 --> 00:23:14,920 Speaker 3: out all that water. It's also based on how much 398 00:23:14,960 --> 00:23:18,200 Speaker 3: water you drink and how many electrolytes you get. If 399 00:23:18,240 --> 00:23:23,520 Speaker 3: you are dehydrated, then RABDO is a greater likelihood. Now 400 00:23:23,600 --> 00:23:25,800 Speaker 3: you might say, well, we did to today's and never 401 00:23:25,800 --> 00:23:27,639 Speaker 3: got water like the Junction boys at Texas A and 402 00:23:27,760 --> 00:23:28,600 Speaker 3: m over all those years. 403 00:23:28,640 --> 00:23:29,320 Speaker 4: And that's true. 404 00:23:30,119 --> 00:23:34,280 Speaker 3: But if enough people are dehydrated during summer too days, 405 00:23:35,240 --> 00:23:39,560 Speaker 3: and especially young folks see in the pros, it doesn't happen. 406 00:23:40,040 --> 00:23:43,840 Speaker 3: Because the pros consider their athletes to be assets. And 407 00:23:43,840 --> 00:23:45,680 Speaker 3: if you're paying a guy ten million dollars a year, 408 00:23:46,080 --> 00:23:48,439 Speaker 3: you're going to make sure he's hydrated. You don't let 409 00:23:48,520 --> 00:23:50,680 Speaker 3: him slip off and not drink water. Well, young people 410 00:23:50,720 --> 00:23:53,800 Speaker 3: sometimes make that mistake. This is a young fellow named 411 00:23:53,840 --> 00:23:57,440 Speaker 3: Jarvis Spire, seventeen years old, and you know, if you'll 412 00:23:57,480 --> 00:23:59,840 Speaker 3: listen to what his mom says is ABC thirteen in Houston. 413 00:24:00,400 --> 00:24:02,639 Speaker 3: We do hope he recovers, and we do hope he 414 00:24:02,680 --> 00:24:06,560 Speaker 3: has a story to tell to others, and we hope 415 00:24:06,600 --> 00:24:09,000 Speaker 3: he has a great story to tell for the rest 416 00:24:09,040 --> 00:24:11,480 Speaker 3: of his life about his survival and how close he came. 417 00:24:12,119 --> 00:24:14,919 Speaker 20: A week ago, the future looked bright for seventeen year 418 00:24:14,960 --> 00:24:18,320 Speaker 20: old Jarvis Spires, a defensive nose tackle on the Cypersprings 419 00:24:18,400 --> 00:24:21,919 Speaker 20: High school football team. He was eyeing colleges and dreaming 420 00:24:21,920 --> 00:24:22,840 Speaker 20: of the big leagues. 421 00:24:23,040 --> 00:24:25,120 Speaker 4: He is going to the NFL. 422 00:24:25,160 --> 00:24:28,680 Speaker 15: And I say going because when he speaks, he says, 423 00:24:28,760 --> 00:24:30,520 Speaker 15: one I make it to the NFL. 424 00:24:30,680 --> 00:24:34,840 Speaker 20: We on Saturday. Those dreams seem to be in jeopardy fire, 425 00:24:34,960 --> 00:24:38,280 Speaker 20: so coming to a heat stroke during an outdoor training session. 426 00:24:37,960 --> 00:24:41,920 Speaker 15: When there's a lot of athletes out here who don't 427 00:24:42,040 --> 00:24:46,919 Speaker 15: understand the importance of being hydrated, staying hydrated. 428 00:24:46,440 --> 00:24:48,760 Speaker 20: By the toime, Spires made it to the hospital. His 429 00:24:48,840 --> 00:24:52,040 Speaker 20: mom says he was already in a coma. Doctors managed 430 00:24:52,040 --> 00:24:55,520 Speaker 20: to resuscitate him, but then more complications. 431 00:24:55,760 --> 00:24:58,439 Speaker 15: It's kidney's deliver all his organs had failed. 432 00:24:58,520 --> 00:25:02,280 Speaker 20: That's when doctors transferred him at Texas Children's Hospital after 433 00:25:02,320 --> 00:25:05,040 Speaker 20: his heart in love's fail Tuesday. His mom says he 434 00:25:05,080 --> 00:25:07,880 Speaker 20: had to be put back under in a sense undergone 435 00:25:07,880 --> 00:25:09,040 Speaker 20: emergency surgery. 436 00:25:09,480 --> 00:25:11,960 Speaker 15: The lasting that he said was Jesus is my best friend. 437 00:25:14,480 --> 00:25:16,200 Speaker 15: And when he said that I just it just made 438 00:25:16,240 --> 00:25:17,280 Speaker 15: me feel safful. 439 00:25:17,160 --> 00:25:22,280 Speaker 17: It's Ramon the King of Ding and this other guy, 440 00:25:22,320 --> 00:25:23,080 Speaker 17: Michael Barry. 441 00:25:23,240 --> 00:25:25,440 Speaker 6: These are the kind of guys you're like a smacking airs. 442 00:25:27,520 --> 00:25:31,240 Speaker 3: The George Soros district attorney take over. 443 00:25:32,560 --> 00:25:33,800 Speaker 6: Is so. 444 00:25:35,280 --> 00:25:41,080 Speaker 3: Rotten in this country. It creates such a bad situation 445 00:25:41,520 --> 00:25:46,639 Speaker 3: in this country. We have a new district attorney in 446 00:25:46,680 --> 00:25:49,600 Speaker 3: Harris County because the Democrat who was there before, who 447 00:25:49,640 --> 00:25:52,600 Speaker 3: had been supported by Kim by Sorows named Kim Oug, 448 00:25:53,680 --> 00:25:57,800 Speaker 3: she ended up prosecuting some of the Democrat local officials 449 00:25:57,880 --> 00:26:00,199 Speaker 3: who were engaged in criminal activity, and so they ran 450 00:26:00,240 --> 00:26:03,560 Speaker 3: an opponent against her and beat her. Well, here you're 451 00:26:03,560 --> 00:26:07,800 Speaker 3: going to hear about her replacement, the Sorols back district 452 00:26:07,840 --> 00:26:13,240 Speaker 3: attorney who just didn't bring charges against one man who 453 00:26:13,320 --> 00:26:18,160 Speaker 3: killed another man. He just didn't get around bringing the charges. Well, 454 00:26:18,200 --> 00:26:24,480 Speaker 3: this is what Sorols wants, the collapse, the combustion internal 455 00:26:25,280 --> 00:26:29,200 Speaker 3: of the American model by allowing bad guys to run free. 456 00:26:29,240 --> 00:26:31,879 Speaker 3: This is KPRCTV in Houston. 457 00:26:32,040 --> 00:26:35,760 Speaker 21: The District Attorney's office had ninety days to follow murder charges, 458 00:26:36,000 --> 00:26:38,639 Speaker 21: but they missed that deadline. The Hill was issued a 459 00:26:38,640 --> 00:26:41,920 Speaker 21: personal bond for which is basically means get out of 460 00:26:42,000 --> 00:26:45,080 Speaker 21: jail for free today to stay added a new charge 461 00:26:45,080 --> 00:26:48,119 Speaker 21: which is keeping him in jail but on a lower bond, 462 00:26:48,320 --> 00:26:52,239 Speaker 21: which is an uneasy feeling for Abdul Niazi's family. It 463 00:26:52,520 --> 00:26:55,399 Speaker 21: just didn't get done, That's what the stage told the 464 00:26:55,480 --> 00:26:58,480 Speaker 21: judge after not having a valid reason for missing the 465 00:26:58,600 --> 00:27:02,840 Speaker 21: ninety day deadline to indiagnosed Sulissa Hill on a murder charge. 466 00:27:03,000 --> 00:27:06,439 Speaker 21: He's accused of killing US War hero and loving father 467 00:27:06,560 --> 00:27:10,760 Speaker 21: of five, Abdul Niazzi in March. Niazzi's cousin feels the 468 00:27:10,800 --> 00:27:12,920 Speaker 21: state's excuse isn't good enough. 469 00:27:13,080 --> 00:27:16,920 Speaker 18: Well, to be honest, it's really talking, I mean terrible. 470 00:27:18,560 --> 00:27:19,200 Speaker 2: I don't know. 471 00:27:19,240 --> 00:27:22,399 Speaker 4: I mean we trust the system, but it is. 472 00:27:24,240 --> 00:27:27,680 Speaker 6: They're just like playing with our emotional record show. 473 00:27:27,720 --> 00:27:30,440 Speaker 21: The court noted that at any given time, there are 474 00:27:30,560 --> 00:27:33,920 Speaker 21: five grand juries sworn in per term, and Texas has 475 00:27:34,080 --> 00:27:37,680 Speaker 21: hundreds of prosecutors and support staff, Yet the state did 476 00:27:37,720 --> 00:27:40,840 Speaker 21: not have sufficient reason for why they failed to indict 477 00:27:40,880 --> 00:27:44,720 Speaker 21: se Hill. Investigators say Niazi relied on a wheelchair because 478 00:27:44,720 --> 00:27:47,920 Speaker 21: he lost both of his legs well in combat. Sahill 479 00:27:48,080 --> 00:27:52,280 Speaker 21: allegedly stabbed him twenty times. Nyazzi had been helping him 480 00:27:52,280 --> 00:27:55,840 Speaker 21: with his refugee paperwork, and sa Hill admitted to police 481 00:27:55,960 --> 00:27:59,439 Speaker 21: he was frustrated with how long it was taking. Surveillance 482 00:27:59,520 --> 00:28:03,640 Speaker 21: video showsa Hill entering Yazzi's office building and leaving while 483 00:28:03,680 --> 00:28:07,720 Speaker 21: covered in blood. Niyazzi's cousin says after the killing, Sa 484 00:28:07,800 --> 00:28:12,040 Speaker 21: Hill called Niazzi's wife, confessing to the crime. Niazzi's cousin 485 00:28:12,080 --> 00:28:15,240 Speaker 21: fills the state had plenty of evidence to indict sa Hill. 486 00:28:15,520 --> 00:28:18,760 Speaker 21: Do you feel the justice system fail you and your family? 487 00:28:20,520 --> 00:28:23,120 Speaker 4: I mean it is completely fair. 488 00:28:23,200 --> 00:28:27,760 Speaker 21: It's like a Previously, sa Hill had a seven hundred 489 00:28:27,760 --> 00:28:30,919 Speaker 21: and fifty thousand dollars bond for his murder charge, but 490 00:28:31,000 --> 00:28:34,160 Speaker 21: that dropped with the pr bond. Although he now has 491 00:28:34,200 --> 00:28:37,640 Speaker 21: a tampering with evidence charge, the Hill's bond is lowered 492 00:28:37,720 --> 00:28:39,360 Speaker 21: to twenty five thousand dollars. 493 00:28:39,720 --> 00:28:41,000 Speaker 3: This is my question, if you. 494 00:28:42,720 --> 00:28:45,920 Speaker 2: Who want to get reponsible, if the guy's release uh 495 00:28:46,280 --> 00:28:48,400 Speaker 2: and come back and kill someone else. 496 00:28:49,000 --> 00:28:49,240 Speaker 4: Jim. 497 00:28:49,280 --> 00:28:51,920 Speaker 3: This is going to be clip number four from Chad's prep. 498 00:28:52,040 --> 00:28:56,560 Speaker 3: You lost your home in the wildfire in Los Angeles 499 00:28:57,880 --> 00:29:02,040 Speaker 3: and you're waiting for permits to rebuild. You need to 500 00:29:02,080 --> 00:29:08,320 Speaker 3: know that Mayor Karen Bass your locally elected communists. Avowed 501 00:29:08,920 --> 00:29:14,200 Speaker 3: communist mayor has other priorities. Remember she committed to quick 502 00:29:14,240 --> 00:29:17,720 Speaker 3: permits to let you start rebuilding your home. She has 503 00:29:17,800 --> 00:29:24,200 Speaker 3: announced that Los Angeles will provide cash handouts to illegal 504 00:29:24,320 --> 00:29:29,040 Speaker 3: alien families affected by the ice raids. She claims that 505 00:29:29,160 --> 00:29:32,640 Speaker 3: tax dollars are not being used, but city resources and 506 00:29:32,720 --> 00:29:38,640 Speaker 3: staffers are to administer the program. This is US Border 507 00:29:38,760 --> 00:29:43,480 Speaker 3: chief at the El Centro section, Greg Bavino on Fox. 508 00:29:44,040 --> 00:29:47,120 Speaker 22: We also are going to have a reinstitution of the 509 00:29:47,160 --> 00:29:51,240 Speaker 22: Angelino card, something that Mayor Garcetti started during COVID that 510 00:29:51,360 --> 00:29:55,280 Speaker 22: will actually provide cash assistance to people, because you know, 511 00:29:55,320 --> 00:29:57,680 Speaker 22: you have people who don't want to leave their homes, 512 00:29:58,480 --> 00:30:02,120 Speaker 22: who are not going to work, and they are in 513 00:30:02,200 --> 00:30:04,760 Speaker 22: need of cash. 514 00:30:05,000 --> 00:30:09,560 Speaker 10: She is giving out free cash, just cash to illegals. 515 00:30:10,560 --> 00:30:14,160 Speaker 10: So if you want to talk about incentivizing illegal activity, 516 00:30:14,480 --> 00:30:16,880 Speaker 10: stay home, don't go to work. And then the bishop 517 00:30:16,920 --> 00:30:18,000 Speaker 10: out there, one of them says. 518 00:30:17,840 --> 00:30:18,600 Speaker 4: Don't go to church. 519 00:30:19,520 --> 00:30:22,400 Speaker 10: So this is a dream for them and just get 520 00:30:22,440 --> 00:30:24,120 Speaker 10: free money. 521 00:30:24,680 --> 00:30:26,720 Speaker 6: Absolutely unbelievable. 522 00:30:26,880 --> 00:30:29,479 Speaker 23: You know what I see there when Marabath says something 523 00:30:29,520 --> 00:30:34,920 Speaker 23: like that is she chooses illegal aliens, drug cartels, terrorists, 524 00:30:35,040 --> 00:30:39,440 Speaker 23: bad people and bad things over American citizens. And I 525 00:30:39,440 --> 00:30:43,040 Speaker 23: can't believe I'm actually hearing this. But that's why the 526 00:30:43,160 --> 00:30:46,240 Speaker 23: US Border Patrol and Customs and Border Protection ICE, HSI 527 00:30:46,320 --> 00:30:50,040 Speaker 23: and all those allied law enforcement agencies are in these communities. 528 00:30:50,400 --> 00:30:52,320 Speaker 23: People like that won't do anything about this. 529 00:30:52,520 --> 00:30:54,640 Speaker 4: So guess what, Laura, We're going to. 530 00:30:55,480 --> 00:30:57,440 Speaker 3: And if you're wondering where all the money in Los 531 00:30:57,480 --> 00:31:02,520 Speaker 3: Angeles goes, one hundred and thirty four of Los Angeles's 532 00:31:02,600 --> 00:31:11,680 Speaker 3: highest paid lifeguards cost the city seven hundred million dollars alone. 533 00:31:13,320 --> 00:31:17,360 Speaker 3: Forty five lifeguards collected between fifty thousand and one hundred 534 00:31:17,520 --> 00:31:23,720 Speaker 3: seventy one thousand in overtime payments alone. The top overtime 535 00:31:23,760 --> 00:31:27,800 Speaker 3: earner was Remy Smith, who made one hundred seventy one 536 00:31:27,800 --> 00:31:32,280 Speaker 3: thousand dollars in overtime and four hundred and sixty eight 537 00:31:32,360 --> 00:31:43,280 Speaker 3: thousand dollars in total compensation. This is insane, This is insane. 538 00:31:43,360 --> 00:31:46,640 Speaker 3: This is why Los Angeles is broken. And I'll guarantee 539 00:31:46,680 --> 00:31:50,080 Speaker 3: you it's not just an overpayment issue. I'll guarantee you 540 00:31:50,160 --> 00:31:51,520 Speaker 3: there are kickbacks involved. 541 00:31:51,880 --> 00:31:55,200 Speaker 24: Well appears Baywatch has become a lucrative gig for some 542 00:31:55,400 --> 00:31:58,680 Speaker 24: lifeguards in LA and there's new debate over some of 543 00:31:58,720 --> 00:32:02,960 Speaker 24: their top dollar baxpair funded salaries. A new report claims 544 00:32:02,960 --> 00:32:06,280 Speaker 24: that last year, the top paid lifeguard in La County 545 00:32:06,280 --> 00:32:10,200 Speaker 24: took them over half a million dollars thanks to open 546 00:32:10,240 --> 00:32:14,520 Speaker 24: the books. Four others reportedly made over four hundred thousand dollars, 547 00:32:14,800 --> 00:32:17,400 Speaker 24: and out of fifteen hundred total lifeguards, one hundred and 548 00:32:17,560 --> 00:32:20,880 Speaker 24: thirty four of them reportedly earned at least two hundred 549 00:32:20,880 --> 00:32:24,520 Speaker 24: thousand plus benefits. 550 00:32:24,640 --> 00:32:29,440 Speaker 3: I like to find audio that I believe to be 551 00:32:29,520 --> 00:32:30,640 Speaker 3: interesting in share. 552 00:32:30,840 --> 00:32:32,360 Speaker 4: Sometimes there's no context. 553 00:32:33,240 --> 00:32:36,960 Speaker 3: This is a black woman talking about black people on 554 00:32:37,280 --> 00:32:40,240 Speaker 3: cruise ships with some really tough talk. 555 00:32:40,920 --> 00:32:41,920 Speaker 4: Do with it what you want. 556 00:32:42,160 --> 00:32:46,600 Speaker 12: So y'all hated when people saw that cruise full of 557 00:32:46,680 --> 00:32:51,880 Speaker 12: black people and they said all kind of racist remark. 558 00:32:52,120 --> 00:32:58,360 Speaker 12: But then after the crew at the Carnival port in Galveston, 559 00:33:00,120 --> 00:33:05,160 Speaker 12: people are fighting in the terminal and a black woman 560 00:33:05,400 --> 00:33:09,800 Speaker 12: on an excursion refuses to get up because she didn't 561 00:33:09,800 --> 00:33:16,280 Speaker 12: have the wristband and her child has to almost beg. 562 00:33:16,080 --> 00:33:18,200 Speaker 2: Her to get off the boat. 563 00:33:18,400 --> 00:33:22,120 Speaker 12: This is why make the comments that they make. This 564 00:33:22,200 --> 00:33:24,440 Speaker 12: is why they don't want to be around us. 565 00:33:24,640 --> 00:33:24,880 Speaker 20: Too. 566 00:33:24,920 --> 00:33:26,640 Speaker 4: Many of y'all don't. 567 00:33:26,400 --> 00:33:27,040 Speaker 6: Know how to act. 568 00:33:27,360 --> 00:33:31,880 Speaker 12: This is why I avoid carnival. I even avoid the 569 00:33:31,960 --> 00:33:33,600 Speaker 12: little short cruises, but. 570 00:33:33,640 --> 00:33:34,840 Speaker 4: Are like real cheap. 571 00:33:36,560 --> 00:33:38,360 Speaker 12: Some of y'all don't know how to leave the ghetto 572 00:33:38,600 --> 00:33:43,280 Speaker 12: at home. And these are the people who raise the kids, 573 00:33:43,880 --> 00:33:44,840 Speaker 12: who fight the teacher. 574 00:33:45,640 --> 00:33:47,240 Speaker 4: It's all related, y'all. 575 00:33:47,400 --> 00:33:50,880 Speaker 12: And so even black people like myself or others who 576 00:33:50,960 --> 00:33:56,440 Speaker 12: got some sense, we always are running, not from black people, 577 00:33:56,680 --> 00:33:57,280 Speaker 12: from y'all. 578 00:34:00,240 --> 00:34:03,920 Speaker 4: Us has left for kill. Thank you, and good night.