1 00:00:03,920 --> 00:00:11,280 Speaker 1: It's that time, time, time, time, luck and load. The 2 00:00:11,480 --> 00:00:13,880 Speaker 1: Michael Arry Show is on the air. 3 00:00:20,120 --> 00:00:23,800 Speaker 2: You get into Mica week, you gotta feed it, bead. 4 00:00:24,000 --> 00:00:27,480 Speaker 2: I don't plan to shave and it's you the thing, 5 00:00:27,640 --> 00:00:33,200 Speaker 2: but I just gotta see I'm doing all right. Will 6 00:00:33,400 --> 00:00:37,800 Speaker 2: we got make with some potms beating ready? 7 00:00:38,040 --> 00:00:39,320 Speaker 3: Ude that the. 8 00:00:39,520 --> 00:00:45,440 Speaker 4: Drug's neither drink nor drug and snoo, I'm just doing 9 00:00:45,479 --> 00:00:46,080 Speaker 4: all right. 10 00:00:47,240 --> 00:00:50,640 Speaker 1: It's okay. Well, this is a big week in the 11 00:00:50,680 --> 00:00:57,520 Speaker 1: presidential campaign. As you know, Tomorrow night will be the 12 00:00:57,800 --> 00:01:03,000 Speaker 1: big debate and it won't sway your vote or mine, 13 00:01:03,560 --> 00:01:07,880 Speaker 1: but there will be people who will cast their vote 14 00:01:08,160 --> 00:01:11,680 Speaker 1: on the basis of what happens tomorrow night. And that's 15 00:01:11,720 --> 00:01:19,759 Speaker 1: pretty scary because it's literally a matter of minutes where 16 00:01:19,800 --> 00:01:28,039 Speaker 1: this staged event occurs and whether Trump comes out gaining 17 00:01:29,920 --> 00:01:36,000 Speaker 1: or losing support from it. One debate over a matter 18 00:01:36,040 --> 00:01:39,880 Speaker 1: of minutes to determine someone's vote, and there will be 19 00:01:39,959 --> 00:01:44,760 Speaker 1: votes cast on that basis. It's horrifying to me. It's 20 00:01:44,959 --> 00:01:49,400 Speaker 1: terrifying to me. And there will be those who will 21 00:01:49,400 --> 00:01:54,680 Speaker 1: say he's gonna wipe the floor with her. Well, have 22 00:01:54,760 --> 00:01:59,760 Speaker 1: you ever done debate? Have you ever actually been before 23 00:01:59,760 --> 00:02:05,600 Speaker 1: an other person with questions being asked with a moderator 24 00:02:05,640 --> 00:02:09,240 Speaker 1: that is working very hard against you, and the other 25 00:02:09,320 --> 00:02:11,880 Speaker 1: person has had ample time to prepare for you and 26 00:02:11,919 --> 00:02:17,280 Speaker 1: only you, and every mannerism of yours, and that whatever 27 00:02:17,320 --> 00:02:22,320 Speaker 1: that person does, pitch a conniption fit, start crying, scream 28 00:02:22,400 --> 00:02:29,440 Speaker 1: at you, threaten you. That it's all been staged, and 29 00:02:29,560 --> 00:02:34,160 Speaker 1: some of the most devious minds in the world have 30 00:02:34,360 --> 00:02:37,839 Speaker 1: planned on her performance exactly what she's going to do 31 00:02:38,360 --> 00:02:41,080 Speaker 1: and the throwdown lines she's going to use that the 32 00:02:41,120 --> 00:02:45,880 Speaker 1: media will already be prompted to pick up on. Yeah, 33 00:02:45,919 --> 00:02:51,040 Speaker 1: that makes me nervous, very nervous. Nate Silver. Donald Trump 34 00:02:51,080 --> 00:03:01,560 Speaker 1: fan holds a rolling poll on the likelihood of winning, 35 00:03:02,320 --> 00:03:06,800 Speaker 1: not the overall vote, but the likelihood of winning, and 36 00:03:06,919 --> 00:03:10,440 Speaker 1: right now he has Trump. At last I saw it 37 00:03:10,480 --> 00:03:14,680 Speaker 1: was about twenty five percent. It was say, not quite 38 00:03:14,720 --> 00:03:18,240 Speaker 1: sixty five thirty five, but sixty three thirty seven something 39 00:03:18,320 --> 00:03:22,480 Speaker 1: like that. It was. It is growing by the day. 40 00:03:24,560 --> 00:03:28,280 Speaker 1: So Tuesday night will be the debate. Wednesday, we will 41 00:03:28,440 --> 00:03:32,799 Speaker 1: talk almost exclusively about what happened the night before, but 42 00:03:32,840 --> 00:03:36,040 Speaker 1: we may also be talking about what at that point 43 00:03:36,120 --> 00:03:44,280 Speaker 1: could be Francine, which is what is potentially brewing right 44 00:03:44,320 --> 00:03:50,880 Speaker 1: now and could end up in the Gulf as another 45 00:03:50,960 --> 00:03:54,440 Speaker 1: one of those occasions where we have to come together 46 00:03:54,680 --> 00:03:59,320 Speaker 1: as a community. I've had about enough of those. To 47 00:03:59,360 --> 00:04:02,160 Speaker 1: tell you the truth. Illegal immigration is back in the news. 48 00:04:03,320 --> 00:04:13,160 Speaker 1: This time. We have Haitians being dropped off in Springfield, Illinois. 49 00:04:13,320 --> 00:04:17,200 Speaker 1: We have a number of Haitians being dropped off in 50 00:04:17,320 --> 00:04:21,920 Speaker 1: Ohio in a particular community. There are various communities now 51 00:04:21,960 --> 00:04:25,480 Speaker 1: coming forward and telling their stories at the local city council, 52 00:04:25,560 --> 00:04:30,479 Speaker 1: and then the fact checking rolls into place and it 53 00:04:30,520 --> 00:04:35,240 Speaker 1: turns out it's true. In one community, it's sixty thousand 54 00:04:35,240 --> 00:04:40,799 Speaker 1: people and they've dumped twenty thousand Haitians into the community. 55 00:04:41,720 --> 00:04:46,400 Speaker 1: And guess what. Those Haitians that they dropped in are 56 00:04:46,440 --> 00:04:51,360 Speaker 1: not nice neighborly people. Those Haitians they dropped in are 57 00:04:51,760 --> 00:05:00,200 Speaker 1: warlords and wild men, and they don't share the same values. 58 00:05:00,720 --> 00:05:04,960 Speaker 1: And it's not going over well. There are tails in 59 00:05:05,040 --> 00:05:08,400 Speaker 1: various communities where this is happening, that are coming forward 60 00:05:08,640 --> 00:05:14,160 Speaker 1: of ducks being grabbed out of the park, their neck 61 00:05:14,279 --> 00:05:18,760 Speaker 1: snapped so they can be eaten on the spot, tails 62 00:05:18,800 --> 00:05:26,039 Speaker 1: of animals, pets, and now there are tails that the 63 00:05:26,120 --> 00:05:34,839 Speaker 1: Haitians are grabbing up family cats to eat them, which 64 00:05:34,960 --> 00:05:41,080 Speaker 1: takes me back to the crazy cat lady comment by 65 00:05:41,160 --> 00:05:47,839 Speaker 1: jd Vance. I have an idea for what jd Vance 66 00:05:47,920 --> 00:05:53,600 Speaker 1: could do to win back the crazy cat Lady. I'll 67 00:05:53,640 --> 00:05:57,080 Speaker 1: get rid of the Haitians out of your community that 68 00:05:57,120 --> 00:06:01,720 Speaker 1: are about to kill and eat fee. How about that. 69 00:06:03,560 --> 00:06:06,720 Speaker 1: Maybe stop worrying about the mean tweets and start worrying 70 00:06:06,760 --> 00:06:13,440 Speaker 1: about your life. This is just one more example of 71 00:06:13,480 --> 00:06:17,640 Speaker 1: the fact that you cannot just grab people from anywhere 72 00:06:17,680 --> 00:06:23,280 Speaker 1: in the world, particularly war torn Haiti, which has been 73 00:06:23,480 --> 00:06:30,200 Speaker 1: chaos for decades, and dump them into communities and say 74 00:06:30,279 --> 00:06:34,360 Speaker 1: to the communities, now, don't be racist, enjoy your new neighbors. 75 00:06:35,440 --> 00:06:41,039 Speaker 1: That's not how that works. There are cultural differences. You're 76 00:06:41,040 --> 00:06:46,680 Speaker 1: going to visit crime and violence and discomfort on communities. 77 00:06:48,200 --> 00:06:52,520 Speaker 1: You have folks going to the local city council and 78 00:06:52,640 --> 00:06:56,840 Speaker 1: telling stories about entire communities camping out on their front 79 00:06:56,920 --> 00:07:03,680 Speaker 1: lawn and they're having to leave their homes. Why Why 80 00:07:03,800 --> 00:07:07,640 Speaker 1: Because our government is choosing to make this country a 81 00:07:07,760 --> 00:07:11,040 Speaker 1: dumping ground for the rest of the world. That's not kindness, 82 00:07:12,320 --> 00:07:19,680 Speaker 1: that's not sanctuary. That is cruelty, that is evil. No 83 00:07:19,800 --> 00:07:25,480 Speaker 1: other country in the world would do that. What is 84 00:07:25,560 --> 00:07:33,320 Speaker 1: being called being nice or providing some sort of sanctuary 85 00:07:34,200 --> 00:07:38,240 Speaker 1: for people around the world is destroying the lives of 86 00:07:38,280 --> 00:07:41,320 Speaker 1: the American people, and nobody wanted to speak out against 87 00:07:41,360 --> 00:07:46,120 Speaker 1: it because somehow that was racist, until that crap ends 88 00:07:46,200 --> 00:07:52,320 Speaker 1: up on literally your doorstep. Now, yeah, I'll speak Get 89 00:07:52,360 --> 00:07:58,160 Speaker 1: their asses out of here. I don't care if they're brown, black, yellow, blue, purple. 90 00:07:58,440 --> 00:08:01,080 Speaker 1: Get them out of here and send them back where 91 00:08:01,080 --> 00:08:06,960 Speaker 1: they belong, to their craphole countries because they are. There's 92 00:08:07,000 --> 00:08:09,800 Speaker 1: a reason they don't want to live there, and you 93 00:08:10,040 --> 00:08:14,720 Speaker 1: never would. But I'm glad this is all happening right 94 00:08:14,720 --> 00:08:16,600 Speaker 1: before the election. I want every bit of it to 95 00:08:16,640 --> 00:08:25,160 Speaker 1: happen before the election. We had another sexual disport nut 96 00:08:25,240 --> 00:08:29,080 Speaker 1: job shoot up Georgia the other day, So think about this. 97 00:08:29,160 --> 00:08:32,760 Speaker 1: You've got Nashville, You've got Georgia. You've got multiple of 98 00:08:32,800 --> 00:08:39,080 Speaker 1: these cases shooting up schools, killing kids because they're a 99 00:08:39,120 --> 00:08:40,679 Speaker 1: boy who wants to be a girl or girl who 100 00:08:40,679 --> 00:08:43,960 Speaker 1: wants to be a boy. I want it all to 101 00:08:44,040 --> 00:08:48,480 Speaker 1: happen before election time. If people still choose to vote 102 00:08:48,520 --> 00:08:51,360 Speaker 1: for their own death, then so be it. But at 103 00:08:51,440 --> 00:08:53,080 Speaker 1: least they should know what they're voting. 104 00:08:55,120 --> 00:09:01,400 Speaker 5: People sleep, Uncle Perry superior, I'd be a water and 105 00:09:01,480 --> 00:09:02,959 Speaker 5: I'd a grove. 106 00:09:04,080 --> 00:09:08,600 Speaker 1: Check the number and wait. In Nate Silver's poll, it's 107 00:09:08,720 --> 00:09:17,960 Speaker 1: Trump sixty four, Harris thirty six. It's uh. That is 108 00:09:18,320 --> 00:09:25,320 Speaker 1: likelihood to win. That is not percentage of votes. But 109 00:09:25,480 --> 00:09:29,080 Speaker 1: for the first time over the weekend, Trump has now 110 00:09:29,120 --> 00:09:38,559 Speaker 1: pulled ahead in overall in popular vote at forty eight 111 00:09:38,679 --> 00:09:45,520 Speaker 1: forty seven. And I don't think that has happened. I 112 00:09:45,520 --> 00:09:51,640 Speaker 1: don't think that's happened yet. That is that is an incredible, 113 00:09:52,320 --> 00:09:58,120 Speaker 1: incredible number that I never believed we would reach. The 114 00:09:58,600 --> 00:10:03,120 Speaker 1: Let's compare twenty twenty to this year. There is a 115 00:10:03,200 --> 00:10:06,959 Speaker 1: New York Times Cena poll, which I can assure you 116 00:10:07,080 --> 00:10:09,960 Speaker 1: is not designed to help Donald Trump, So bear this 117 00:10:10,040 --> 00:10:15,480 Speaker 1: in mind. The September twenty twenty New York Times Cena 118 00:10:15,520 --> 00:10:20,400 Speaker 1: poll had Trump at seven percent of black votes. The 119 00:10:20,480 --> 00:10:23,920 Speaker 1: same poll in September twenty twenty four has him at 120 00:10:23,960 --> 00:10:29,640 Speaker 1: seventeen percent from seven to seventeen. Trump's share of Latino 121 00:10:29,760 --> 00:10:34,640 Speaker 1: voters September of twenty twenty thirty one percent. In the 122 00:10:34,720 --> 00:10:38,480 Speaker 1: same poll four years later, Trump's share of Latino voters 123 00:10:38,960 --> 00:10:43,240 Speaker 1: forty two percent from seven to seventeen percent of Black 124 00:10:43,360 --> 00:10:48,439 Speaker 1: voters from thirty one to forty two percent of Hispanic voters. 125 00:10:50,160 --> 00:10:59,880 Speaker 1: It's rather amazing to think how much improvement his cam 126 00:11:00,080 --> 00:11:09,360 Speaker 1: Pain has seen in every single demographic except Mike Pence 127 00:11:09,440 --> 00:11:14,200 Speaker 1: isn't voting for Trump. Mitt Romney isn't voting for Trump, 128 00:11:15,200 --> 00:11:19,600 Speaker 1: Paul Ryan isn't voting for Trump, and now Dick Cheney 129 00:11:19,679 --> 00:11:23,240 Speaker 1: isn't voting for Trump. That's how you know we're on 130 00:11:23,280 --> 00:11:31,240 Speaker 1: the right course. All the people who said that they 131 00:11:31,240 --> 00:11:38,760 Speaker 1: were against the Democrats fighting for you, actually no, they weren't. 132 00:11:39,280 --> 00:11:43,160 Speaker 1: They were fighting for a system, for an establishment, for 133 00:11:43,240 --> 00:11:49,120 Speaker 1: a swamp. That's exactly what they're doing. The latest jobs report, 134 00:11:50,000 --> 00:11:53,959 Speaker 1: you want to talk about the great replacement theory. Foreign 135 00:11:54,080 --> 00:11:59,200 Speaker 1: born workers' jobs are up two million, thirty five thousand 136 00:11:59,480 --> 00:12:05,640 Speaker 1: in the last last twelve months. Native born American jobs 137 00:12:05,760 --> 00:12:12,360 Speaker 1: are down three hundred ninety two thousand in the same period. 138 00:12:13,200 --> 00:12:20,280 Speaker 1: You are literally being replaced. Eighty eight corporate leaders signed 139 00:12:20,320 --> 00:12:24,560 Speaker 1: a letter Friday endorsing Kamala Harris for president, including the 140 00:12:24,600 --> 00:12:36,480 Speaker 1: CEOs of Costco, Ford, American Express, Merk, PayPal, Autodesk, Lift, Yahoo, Docu, 141 00:12:36,640 --> 00:12:45,120 Speaker 1: sign YELP, DuPont, Sony, Pepsi, Zillow, Twilio, and of course 142 00:12:45,320 --> 00:12:50,520 Speaker 1: linked In, the leader of LinkedIn being the man who 143 00:12:50,559 --> 00:12:56,360 Speaker 1: funded the Nicky Haley campaign, and then Kamala Harris. They 144 00:12:56,360 --> 00:13:00,920 Speaker 1: are opposed to Donald Trump because they are opposed to you. 145 00:13:02,040 --> 00:13:05,560 Speaker 1: And if you think to yourself, don't they realize how 146 00:13:05,600 --> 00:13:09,680 Speaker 1: bad things are in this country? Not for them, not 147 00:13:09,840 --> 00:13:15,360 Speaker 1: for them. The rate of sexual offenses for male to 148 00:13:15,520 --> 00:13:23,280 Speaker 1: female transsexuals is six hundred times that of women. When 149 00:13:23,320 --> 00:13:27,679 Speaker 1: a man transitions to being a woman, he is six 150 00:13:27,920 --> 00:13:31,160 Speaker 1: hundred times more likely to commit a sexual offense than 151 00:13:31,200 --> 00:13:34,600 Speaker 1: a woman is. I was looking at the data this weekend. 152 00:13:35,559 --> 00:13:38,480 Speaker 1: It went from three in every million to nineteen hundred 153 00:13:38,480 --> 00:13:43,960 Speaker 1: and every meeting up. I'll pull the exact data, but 154 00:13:44,200 --> 00:13:48,800 Speaker 1: it was quite shocking. The Chinese Communist Party has now 155 00:13:49,080 --> 00:13:52,440 Speaker 1: paid four point six million dollars to the Washington Post, 156 00:13:52,920 --> 00:13:56,480 Speaker 1: six million dollars to the Wall Street Journal, two hundred 157 00:13:56,520 --> 00:14:00,600 Speaker 1: and sixty five thousand dollars for advertising on Twitter. They 158 00:14:00,679 --> 00:14:04,320 Speaker 1: are determined to own your country, and your country is 159 00:14:04,360 --> 00:14:09,280 Speaker 1: for sale. Your country is absolutely for sale to these people. 160 00:14:12,080 --> 00:14:16,520 Speaker 1: I was, I was looking at the numbers. Let me 161 00:14:16,520 --> 00:14:19,240 Speaker 1: see if I can find here. It is sex offending 162 00:14:19,320 --> 00:14:23,320 Speaker 1: rate of women three per one million. Three out of 163 00:14:23,360 --> 00:14:28,040 Speaker 1: every one million women is a sexual offender. Sexual offending 164 00:14:28,120 --> 00:14:32,920 Speaker 1: rate of men three hundred ninety five per million. Not surprising, 165 00:14:32,920 --> 00:14:36,200 Speaker 1: Men are more likely to commit sexual offenses three for 166 00:14:36,280 --> 00:14:39,480 Speaker 1: every three out of a million for women, three hundred 167 00:14:39,520 --> 00:14:43,280 Speaker 1: ninety five for men. Sex offending rates of trans women, 168 00:14:43,400 --> 00:14:47,160 Speaker 1: that is, men who call themselves women nineteen hundred and sixteen. 169 00:14:48,240 --> 00:14:54,080 Speaker 1: These people are deviants and they very often commit sexual offenses. 170 00:14:54,520 --> 00:15:00,640 Speaker 1: It's just what happens. It's just a fact. I'm trying 171 00:15:00,680 --> 00:15:05,760 Speaker 1: to find the particular number that I pulled on the 172 00:15:05,840 --> 00:15:10,360 Speaker 1: polling for the various parts of the country, and I'll 173 00:15:10,400 --> 00:15:13,600 Speaker 1: summarize it since I can't find it. It showed that 174 00:15:14,840 --> 00:15:19,520 Speaker 1: Trump is winning in three of the four major regions 175 00:15:19,920 --> 00:15:23,840 Speaker 1: that were polled. The only place that he's not winning 176 00:15:23,960 --> 00:15:30,040 Speaker 1: is the northeast New York for my Massachusetts, you can imagine. 177 00:15:30,240 --> 00:15:38,320 Speaker 1: But he is winning in the Midwest, and that means Michigan, Pennsylvania, 178 00:15:39,120 --> 00:15:45,480 Speaker 1: That means the states that are probably most important that 179 00:15:45,600 --> 00:15:52,880 Speaker 1: he win, and even faring much better in Minnesota, Waltz's 180 00:15:53,280 --> 00:15:58,960 Speaker 1: home state than anyone imagined. He's faring better in Arizona, 181 00:15:59,400 --> 00:16:04,480 Speaker 1: Georgia than in twenty twenty, and in most cases than 182 00:16:04,600 --> 00:16:09,280 Speaker 1: in twenty sixteen. He's faring better in Nevada. So what 183 00:16:09,320 --> 00:16:12,760 Speaker 1: does all this mean that he wins not so fast. 184 00:16:14,120 --> 00:16:18,560 Speaker 1: It means the Democrats are desperate, and their desperation campaign 185 00:16:18,600 --> 00:16:22,800 Speaker 1: will include, but not be limited to the actions they 186 00:16:22,840 --> 00:16:27,880 Speaker 1: take during the debate tomorrow. I would think anything is possible. 187 00:16:29,440 --> 00:16:32,640 Speaker 1: Everyone expects Kamala Harris to walk in there and fall 188 00:16:32,640 --> 00:16:37,680 Speaker 1: into a puddle and Trump to emerge victorious, like the 189 00:16:37,760 --> 00:16:42,960 Speaker 1: Joe Biden debate. My fear is that won't happen. When 190 00:16:43,000 --> 00:16:47,320 Speaker 1: you set expectations so low for her and so high 191 00:16:47,360 --> 00:16:52,640 Speaker 1: for him, it becomes an expectations game. So if the 192 00:16:52,680 --> 00:16:55,560 Speaker 1: debate is close, but you would argue, well he just 193 00:16:55,640 --> 00:17:00,920 Speaker 1: came off as better, she gets the win. Managing expectations 194 00:17:01,040 --> 00:17:05,119 Speaker 1: is very, very important. George W. Bush had going for 195 00:17:05,240 --> 00:17:08,879 Speaker 1: him that people thought he was an absolute idiot, and 196 00:17:08,920 --> 00:17:13,280 Speaker 1: he wasn't. He couldn't say nuclear sure, but that didn't 197 00:17:13,280 --> 00:17:18,920 Speaker 1: make him an idiot. And so based on that, Northeasterners, 198 00:17:19,320 --> 00:17:23,920 Speaker 1: East Coasters, the media would expect that he was going 199 00:17:23,960 --> 00:17:26,840 Speaker 1: to fumble and bumble in a debate, and he didn't. 200 00:17:27,320 --> 00:17:30,679 Speaker 1: And when he didn't he beat expectations. For those of 201 00:17:30,680 --> 00:17:33,439 Speaker 1: you know who know anything about the stock market and 202 00:17:33,920 --> 00:17:39,800 Speaker 1: when results are being announced, if a stock it was 203 00:17:39,880 --> 00:17:44,199 Speaker 1: expected to grow by a dollar a share and instead 204 00:17:44,240 --> 00:17:49,080 Speaker 1: it's fifty cents a share, that's a loss. The expectation 205 00:17:49,520 --> 00:17:51,480 Speaker 1: was you were going to hit these great numbers, and 206 00:17:51,520 --> 00:17:55,879 Speaker 1: instead you just hit pretty good numbers. But the takeaway 207 00:17:56,080 --> 00:18:00,159 Speaker 1: is it was terrible. Likewise, if you were expected to 208 00:18:00,200 --> 00:18:03,240 Speaker 1: have a horrible quarter and instead you just have a 209 00:18:03,359 --> 00:18:06,320 Speaker 1: kind of bad quarter, and people say, oh, things are 210 00:18:06,520 --> 00:18:09,760 Speaker 1: better than we expect. That is my only concern. But 211 00:18:09,840 --> 00:18:12,320 Speaker 1: I think we're gonna have a George Floyd incident. I 212 00:18:12,320 --> 00:18:14,560 Speaker 1: think we're gonna have a lot more of what happened 213 00:18:14,560 --> 00:18:17,040 Speaker 1: in twenty twenty, because that's the only way they have 214 00:18:17,080 --> 00:18:17,600 Speaker 1: a chance. 215 00:18:17,480 --> 00:18:18,399 Speaker 6: Doing it big. 216 00:18:18,760 --> 00:18:20,440 Speaker 1: On the Michael Berry Show. 217 00:18:23,200 --> 00:18:29,080 Speaker 5: A woman in Springfield, Ohio went down to her city 218 00:18:29,119 --> 00:18:33,200 Speaker 5: hall and added to a chorus of people who've been 219 00:18:33,280 --> 00:18:37,880 Speaker 5: frustrated that Haitian migrants who've been dumped into the. 220 00:18:37,800 --> 00:18:48,080 Speaker 1: City are terrorizing these people. And of all the frustrated 221 00:18:48,119 --> 00:18:53,160 Speaker 1: Americans who've done nothing wrong, they've had foreign countries dumped 222 00:18:53,240 --> 00:18:59,280 Speaker 1: onto their block. Nobody will help them. This one seems 223 00:18:59,320 --> 00:19:02,879 Speaker 1: to have cut through. She a little, tiny lady. She 224 00:19:02,920 --> 00:19:06,639 Speaker 1: refers to herself as being incapable of fighting back against 225 00:19:06,680 --> 00:19:09,439 Speaker 1: these folks. Her husband is elderly. She says, what am 226 00:19:09,480 --> 00:19:12,600 Speaker 1: I going to do? I'm about ninety five pounds. Look 227 00:19:12,640 --> 00:19:17,400 Speaker 1: at me, and anyone who listens to this and particularly 228 00:19:17,480 --> 00:19:20,840 Speaker 1: sees the video does not realize what is happening in 229 00:19:20,880 --> 00:19:25,520 Speaker 1: this country and that this never ends. Wow, you are 230 00:19:25,600 --> 00:19:27,560 Speaker 1: signing your own death notice. Listen to this? 231 00:19:28,480 --> 00:19:31,639 Speaker 7: Done with what I'm seeing? It is so unsafe in 232 00:19:31,680 --> 00:19:34,880 Speaker 7: my neighborhood anymore. I have the homeless that we're trying 233 00:19:34,880 --> 00:19:38,240 Speaker 7: to camp out, and I have made concessions with them, 234 00:19:38,240 --> 00:19:40,040 Speaker 7: and I try to help them the best I can 235 00:19:40,119 --> 00:19:44,119 Speaker 7: to keep them from trying to squat on my property. 236 00:19:44,680 --> 00:19:48,320 Speaker 7: But it is so unsafe. I have men that cannot 237 00:19:48,359 --> 00:19:52,080 Speaker 7: speak English in my front yard screaming at me, throwing 238 00:19:52,160 --> 00:19:55,440 Speaker 7: mattresses in my front yard, throwing trash in my front yard, 239 00:19:56,080 --> 00:19:59,480 Speaker 7: and I can't. I look at me, I weigh ninety 240 00:19:59,480 --> 00:20:02,080 Speaker 7: five pound. I couldn't defend myself if I had to. 241 00:20:02,440 --> 00:20:05,199 Speaker 7: My husband is elderly, and last night, after living in 242 00:20:05,240 --> 00:20:08,040 Speaker 7: this home for forty five years, he said no well, 243 00:20:08,080 --> 00:20:10,480 Speaker 7: guess what it's time to pack up and move. 244 00:20:11,040 --> 00:20:11,360 Speaker 8: He said. 245 00:20:11,400 --> 00:20:14,000 Speaker 7: We can't do this anymore. He said, it's killing both 246 00:20:14,000 --> 00:20:17,439 Speaker 7: of us mentally. I don't understand what you expect of 247 00:20:17,560 --> 00:20:21,360 Speaker 7: us as citizens. I mean, I understand they're here under 248 00:20:21,400 --> 00:20:25,280 Speaker 7: temporary protected status and you're protecting them. And I understand 249 00:20:25,280 --> 00:20:30,119 Speaker 7: that our city services are overwhelmed and understaffed. But who's 250 00:20:30,200 --> 00:20:34,159 Speaker 7: protecting us? If we're protecting them, who's protecting me. I 251 00:20:34,200 --> 00:20:38,480 Speaker 7: want out of this town. I am sorry. Please give 252 00:20:38,480 --> 00:20:40,040 Speaker 7: me a reason to stay. 253 00:20:40,080 --> 00:20:43,679 Speaker 1: It wasn't the case that everything was going great in 254 00:20:43,720 --> 00:20:49,760 Speaker 1: America before, But now you're bringing people in here in 255 00:20:49,920 --> 00:20:55,720 Speaker 1: dumping them, and there are no services for them. There 256 00:20:55,760 --> 00:21:02,320 Speaker 1: are no jobs, there's no housing. They don't know how 257 00:21:02,320 --> 00:21:06,400 Speaker 1: to survive here. Many of them don't want to. Many 258 00:21:06,480 --> 00:21:09,080 Speaker 1: of them are the worst of the worst in those countries, 259 00:21:09,160 --> 00:21:13,800 Speaker 1: not the best of the best. You have one person 260 00:21:13,960 --> 00:21:17,040 Speaker 1: like this in your neighborhood, they can destroy a neighborhood, 261 00:21:17,480 --> 00:21:22,760 Speaker 1: they can terrorize a neighborhood. The cops won't help, the 262 00:21:22,800 --> 00:21:28,320 Speaker 1: community won't help, the federal government won't help. But now 263 00:21:28,359 --> 00:21:31,879 Speaker 1: you dump twenty thousand, how would you like to go 264 00:21:31,960 --> 00:21:34,679 Speaker 1: to sleep every night? And these men are out on 265 00:21:34,720 --> 00:21:40,880 Speaker 1: your front lawn and nobody will help. Hell, yeah, we're 266 00:21:40,920 --> 00:21:48,240 Speaker 1: pissed off. Yeah we're mad, absolutely, But it's not just 267 00:21:48,320 --> 00:21:52,280 Speaker 1: the people they're bringing here. It's the worst of the 268 00:21:52,320 --> 00:21:57,800 Speaker 1: worst here that they're allowing to terrorize us. You remember 269 00:21:57,840 --> 00:22:02,960 Speaker 1: the guy Khalil Arsenal who murdered the elderly man the 270 00:22:03,000 --> 00:22:08,960 Speaker 1: other day, Nelson Beckett, during a carjacking. You remember this guy, Well, 271 00:22:11,480 --> 00:22:18,440 Speaker 1: now it turns out that he committed armed robbery inside 272 00:22:18,440 --> 00:22:22,679 Speaker 1: the University of Houston campus. Remember that story at the 273 00:22:22,680 --> 00:22:27,040 Speaker 1: Moody Towers. The two guys that went into the towers 274 00:22:27,040 --> 00:22:28,960 Speaker 1: and were rummaging through the guy's room and then pulled 275 00:22:28,960 --> 00:22:30,280 Speaker 1: a gun on him when he came back out of 276 00:22:31,000 --> 00:22:34,560 Speaker 1: It's the same guy, Khou with a story. 277 00:22:34,640 --> 00:22:37,760 Speaker 9: Twenty one year old Khalil Arsenau appeared in court Thursday, 278 00:22:37,960 --> 00:22:40,720 Speaker 9: charged with capital murder in the shooting of Navy veteran 279 00:22:40,800 --> 00:22:44,639 Speaker 9: Nelson Beckett. Now Arsenau is facing an additional charge. 280 00:22:44,800 --> 00:22:48,280 Speaker 8: We followed charges on him for aggraved robbery. 281 00:22:48,560 --> 00:22:52,639 Speaker 9: Prosecutor Dana Nazarova says Arsenal robbed a University of Houston 282 00:22:52,680 --> 00:22:56,480 Speaker 9: student at gunpoint inside his dorm at Moody Tower Tuesday, 283 00:22:56,560 --> 00:22:57,600 Speaker 9: August twenty seventh. 284 00:22:57,840 --> 00:23:00,000 Speaker 8: We did find that there were ties to this defense 285 00:23:00,040 --> 00:23:03,159 Speaker 8: and he was one of the people who held him 286 00:23:03,160 --> 00:23:05,320 Speaker 8: at gunpoint during that robbery. 287 00:23:05,640 --> 00:23:08,560 Speaker 9: According to University of Houston Police, it happened at around 288 00:23:08,600 --> 00:23:11,280 Speaker 9: four am as that student left his room to go 289 00:23:11,359 --> 00:23:13,639 Speaker 9: to the restroom. When he came back, he said he 290 00:23:13,760 --> 00:23:17,520 Speaker 9: noticed two men rummaging through his room. Both suspects then 291 00:23:17,600 --> 00:23:18,600 Speaker 9: held the student at. 292 00:23:18,520 --> 00:23:21,439 Speaker 8: Gunpoint, attacking somebody who is a student in the dorm 293 00:23:21,880 --> 00:23:24,280 Speaker 8: literally thinks that this is a safe place where we 294 00:23:24,400 --> 00:23:26,840 Speaker 8: have security. We don't let people. 295 00:23:26,560 --> 00:23:30,280 Speaker 9: In authority say surveillance video was key to linking Arsenal 296 00:23:30,359 --> 00:23:31,000 Speaker 9: to the crime. 297 00:23:31,240 --> 00:23:34,919 Speaker 8: This defendant has their unique let's say, both spot on 298 00:23:35,000 --> 00:23:38,960 Speaker 8: his head to identify that. In addition to that, there 299 00:23:39,000 --> 00:23:40,840 Speaker 8: was a tip provided that he might be one of 300 00:23:40,880 --> 00:23:43,600 Speaker 8: the robbers, and then when we compared the images and 301 00:23:43,680 --> 00:23:47,000 Speaker 8: that specific feature on his head, we're able to connect 302 00:23:47,040 --> 00:23:47,440 Speaker 8: the ties. 303 00:23:47,680 --> 00:23:51,520 Speaker 9: Prosecutors today noting the similarities between the crimes. 304 00:23:51,840 --> 00:23:54,840 Speaker 8: Two innocent people just kind of doing what they do 305 00:23:54,920 --> 00:23:58,800 Speaker 8: and they just preying on them. 306 00:23:58,920 --> 00:24:03,560 Speaker 1: That is correct. By the way, he was out on 307 00:24:03,680 --> 00:24:09,800 Speaker 1: bond when all of this occurred. It's a bond that 308 00:24:10,000 --> 00:24:14,200 Speaker 1: was given him show up to court, but he didn't 309 00:24:14,240 --> 00:24:17,760 Speaker 1: show up to court, so they revoked the bond. But 310 00:24:17,800 --> 00:24:22,160 Speaker 1: then he said, hey, i'm a black man, I'll vote Democrat. 311 00:24:22,400 --> 00:24:24,600 Speaker 1: I don't know what he said. There's some special code 312 00:24:24,960 --> 00:24:27,960 Speaker 1: they use, and they said, oh, you're right, okay, we'll 313 00:24:27,960 --> 00:24:29,679 Speaker 1: give you the bond again. I don't know what the 314 00:24:29,720 --> 00:24:33,560 Speaker 1: code is. I'm just guessing. And so he was back 315 00:24:33,600 --> 00:24:41,919 Speaker 1: out on a bond again, and he kills this elderly man. 316 00:24:42,840 --> 00:24:45,520 Speaker 1: I hate to be the guy to say this, but 317 00:24:45,600 --> 00:24:48,679 Speaker 1: several of you pointed it out when I read you 318 00:24:48,720 --> 00:24:54,520 Speaker 1: the story last week, and it deserves to be said 319 00:24:55,280 --> 00:25:00,800 Speaker 1: Nelson Beckett, the ninety year old man who was murdered. It's, 320 00:25:00,880 --> 00:25:06,719 Speaker 1: by all accounts, a wonderful man. But they're describing him 321 00:25:06,760 --> 00:25:10,440 Speaker 1: as a World War Two veteran. And he was born 322 00:25:10,440 --> 00:25:14,560 Speaker 1: in nineteen thirty four and World War Two ended in 323 00:25:14,680 --> 00:25:23,080 Speaker 1: nineteen forty five, which made him eleven when the war 324 00:25:23,200 --> 00:25:26,600 Speaker 1: was over. I'm not sure how they're calling I don't 325 00:25:26,600 --> 00:25:30,200 Speaker 1: think he's calling himself a World War two veteran. Maybe 326 00:25:30,480 --> 00:25:35,119 Speaker 1: they're saying World War two era. I don't know, but 327 00:25:37,720 --> 00:25:40,399 Speaker 1: that keeps being said, and it just feels like we 328 00:25:40,480 --> 00:25:44,399 Speaker 1: have to be somewhat truthful about that. That being said, 329 00:25:45,240 --> 00:25:51,560 Speaker 1: this guy murdered Nelson Beckett and terrorized at gunpoint inside 330 00:25:51,560 --> 00:25:53,639 Speaker 1: the dorm at uh and he was out on bond. 331 00:25:54,040 --> 00:25:58,879 Speaker 1: Thank you Democrats. 332 00:26:01,760 --> 00:26:05,520 Speaker 10: Did you ever think when you eat Chinese it ain't 333 00:26:05,640 --> 00:26:09,520 Speaker 10: work a chicken butterfatz means yet the food tastes great, 334 00:26:09,600 --> 00:26:13,119 Speaker 10: so you don't complain. But that's not chicken, then your 335 00:26:13,200 --> 00:26:15,280 Speaker 10: chicken charming, seems to me. 336 00:26:15,440 --> 00:26:19,879 Speaker 4: I ordered sweeten sour pork with garfields on my fork. 337 00:26:20,680 --> 00:26:21,920 Speaker 4: He's purring here. 338 00:26:22,000 --> 00:26:23,960 Speaker 1: On my fork. 339 00:26:25,400 --> 00:26:28,800 Speaker 4: There's a cat in the kettle at the picking, the 340 00:26:28,880 --> 00:26:32,360 Speaker 4: place that I ate every day, and there's bay can 341 00:26:32,440 --> 00:26:35,520 Speaker 4: feed your cat and you'll never know what's the wrap 342 00:26:35,680 --> 00:26:40,240 Speaker 4: it up and dull boys. They rite real crispin door 343 00:26:45,840 --> 00:26:48,640 Speaker 4: chooling that stuff I wanted more. 344 00:26:48,760 --> 00:26:51,240 Speaker 10: As he was dialing up his buddy at the old 345 00:26:51,320 --> 00:26:54,960 Speaker 10: Pet Star, I said, not today, I lock my upper day. 346 00:26:55,440 --> 00:26:58,080 Speaker 4: There's two cats in my belly and they want to fight. 347 00:26:58,400 --> 00:27:01,760 Speaker 4: I was sucking on o'role a toms or two when 348 00:27:01,800 --> 00:27:05,960 Speaker 4: I swear I heard it a new voice, and that is. 349 00:27:06,000 --> 00:27:07,240 Speaker 3: When I knew. 350 00:27:09,440 --> 00:27:12,320 Speaker 10: There's a cat in the kettle at the peaking moon. 351 00:27:12,800 --> 00:27:16,360 Speaker 4: I think I gotta stop being there, and they say 352 00:27:16,560 --> 00:27:20,160 Speaker 4: that it's me for Fisher book, but it's worn there 353 00:27:20,200 --> 00:27:21,240 Speaker 4: on my buck. 354 00:27:22,080 --> 00:27:23,040 Speaker 1: There's a hair. 355 00:27:22,880 --> 00:27:24,480 Speaker 3: Broun, my boy. 356 00:27:32,040 --> 00:27:37,359 Speaker 1: It's been five years since officers shot and killed Dennis Tuttle, 357 00:27:37,440 --> 00:27:43,400 Speaker 1: Regina Nicholas, and their dog. Five officers in turn were 358 00:27:43,440 --> 00:27:46,240 Speaker 1: injured in what came to be known as the Harding 359 00:27:46,320 --> 00:27:47,680 Speaker 1: Street Raid. 360 00:27:49,480 --> 00:27:50,240 Speaker 3: There were. 361 00:27:52,680 --> 00:27:58,199 Speaker 1: A lot of theories that have been proffered over the 362 00:27:58,280 --> 00:28:04,199 Speaker 1: years as to exactly what happened. But what I know 363 00:28:04,400 --> 00:28:09,240 Speaker 1: for sure, whether there was drug activity inside the home 364 00:28:10,000 --> 00:28:17,200 Speaker 1: or ever had been, whether who shot first and why. 365 00:28:18,600 --> 00:28:24,080 Speaker 1: What we do know is that police officer Gerald Goins 366 00:28:25,320 --> 00:28:33,400 Speaker 1: falsified and affidavit a warrant request, and as a result, 367 00:28:34,080 --> 00:28:41,920 Speaker 1: a warrant was fraudulently obtained. The question now is is 368 00:28:42,000 --> 00:28:46,800 Speaker 1: he responsible under the felony murder doctrine, which says that 369 00:28:46,880 --> 00:28:51,600 Speaker 1: if in the commission of a felony people die, you 370 00:28:51,760 --> 00:28:56,240 Speaker 1: can be tried for felony murder, which means you didn't 371 00:28:56,280 --> 00:29:01,840 Speaker 1: intend to kill anyone, You did intend to commit a felony, 372 00:29:02,360 --> 00:29:07,520 Speaker 1: but people died in the process. That's sort of where 373 00:29:07,520 --> 00:29:10,440 Speaker 1: we are in the Gerald Goins murder trial, which five 374 00:29:10,520 --> 00:29:13,440 Speaker 1: years later begins today the story from Khou. 375 00:29:13,600 --> 00:29:17,000 Speaker 3: The former HBD officer Gerald Gohens trial is set to 376 00:29:17,040 --> 00:29:20,320 Speaker 3: start in a few hours in connection to that deadly 377 00:29:20,400 --> 00:29:24,640 Speaker 3: Harding Street raid in twenty nineteen. However, he also faces 378 00:29:24,800 --> 00:29:29,480 Speaker 3: federal organized crime charges. Now we know a massive investigation 379 00:29:29,880 --> 00:29:33,600 Speaker 3: discovered that dozens of defendants were sent to prison on 380 00:29:33,680 --> 00:29:39,120 Speaker 3: drug charges based on what prosecutors called lies by dirty cops. Now, 381 00:29:39,120 --> 00:29:42,000 Speaker 3: in this specific double case, a double murder case from 382 00:29:42,000 --> 00:29:45,640 Speaker 3: twenty nineteen, Gowens is accused of lying to secure a 383 00:29:45,720 --> 00:29:48,760 Speaker 3: no knock warrant that led to the shooting that killed 384 00:29:48,760 --> 00:29:53,440 Speaker 3: Dennis Tuttle, Regina and Regina Nicholas, and their dog. Now, 385 00:29:53,480 --> 00:29:56,680 Speaker 3: officers were acting up acting on a tip that turned 386 00:29:56,680 --> 00:30:00,680 Speaker 3: out to be invalid, which means the no knock warrant 387 00:30:01,040 --> 00:30:04,680 Speaker 3: they were serving was allegedly fraudulent. Now Gowens is being 388 00:30:04,720 --> 00:30:07,920 Speaker 3: held responsible for their debts, even though he didn't pull 389 00:30:08,000 --> 00:30:11,800 Speaker 3: the trigger. Here's what the DA's office says about Going's case. 390 00:30:13,040 --> 00:30:17,560 Speaker 6: We feel confident that Gerald Goins will be brought to 391 00:30:17,880 --> 00:30:22,240 Speaker 6: justice and that the victims in this case will finally 392 00:30:22,600 --> 00:30:25,959 Speaker 6: have their story told. So we look forward to trial 393 00:30:26,560 --> 00:30:29,160 Speaker 6: and we look forward to presenting our case so that 394 00:30:29,200 --> 00:30:34,000 Speaker 6: the public finally can know what really happened at Harding Street. 395 00:30:35,200 --> 00:30:38,440 Speaker 3: Yeah, the District Attorney's office told us that they had 396 00:30:38,480 --> 00:30:43,320 Speaker 3: to reopen really dozens hundreds, hundreds of cases tied to Gowens, 397 00:30:43,640 --> 00:30:47,400 Speaker 3: including a two thousand and four drug arrest a link 398 00:30:47,440 --> 00:30:49,080 Speaker 3: to George Floyd in Houston. 399 00:30:51,880 --> 00:30:57,040 Speaker 1: Harris County Public Health Director Barbie Robinson has been fired 400 00:30:58,560 --> 00:31:03,960 Speaker 1: after it turned out she was rigging bids for a 401 00:31:04,040 --> 00:31:07,640 Speaker 1: California company that was sending her emails that they would 402 00:31:07,720 --> 00:31:15,840 Speaker 1: hire her as a consultant, which is clearly a bribe. 403 00:31:16,080 --> 00:31:20,480 Speaker 1: The company was Dema. Dema has been paid over twenty 404 00:31:20,480 --> 00:31:23,880 Speaker 1: million dollars. It has been reported over the last few 405 00:31:23,960 --> 00:31:31,000 Speaker 1: years she was rigging the bid for Dema to win 406 00:31:31,160 --> 00:31:35,480 Speaker 1: contracts with the Harris County Public Health Service, for which 407 00:31:35,680 --> 00:31:40,479 Speaker 1: she was the director. She's also the woman who was 408 00:31:40,560 --> 00:31:46,600 Speaker 1: involved in the Elevate Strategies, the group that was going 409 00:31:46,640 --> 00:31:50,440 Speaker 1: to get the contract that Lena's top three aides gave 410 00:31:51,160 --> 00:31:55,880 Speaker 1: to that woman, Elevate Strategies, who was Hillary Clinton's former 411 00:31:58,920 --> 00:32:04,000 Speaker 1: national digital director for her presidential campaign. Barbie Robinson was 412 00:32:04,040 --> 00:32:08,280 Speaker 1: involved in all of that. Well. Now we find out 413 00:32:08,600 --> 00:32:11,920 Speaker 1: late last week that Barbie Robinson, in the middle of 414 00:32:11,960 --> 00:32:17,400 Speaker 1: all this, was also, oh, by the way, employed as 415 00:32:17,480 --> 00:32:21,120 Speaker 1: an assistant health director in Arizona as of January this 416 00:32:21,200 --> 00:32:25,760 Speaker 1: year of this year. So while working here, she applied 417 00:32:26,120 --> 00:32:30,560 Speaker 1: and received, applied for, and received a two hundred thousand 418 00:32:30,600 --> 00:32:35,600 Speaker 1: dollars a year position there. She got it. She had 419 00:32:35,680 --> 00:32:43,080 Speaker 1: held that position until now without anyone knowing. How does 420 00:32:43,160 --> 00:32:46,520 Speaker 1: no one do any more research than that? Well, now 421 00:32:46,560 --> 00:32:50,160 Speaker 1: that she's been fired, well you need to know this. 422 00:32:50,960 --> 00:32:55,200 Speaker 1: She's blaming Commissioner Democrat Adrian Garcia for her problems, saying 423 00:32:55,240 --> 00:32:59,920 Speaker 1: that he's a racist, sexist, and agist. He's just an ist. 424 00:33:00,560 --> 00:33:04,480 Speaker 1: He just against everybody. She says, over a two year period, 425 00:33:04,480 --> 00:33:09,120 Speaker 1: Democrat Garcia quote engaged in an unrelenting pattern of behavior 426 00:33:09,560 --> 00:33:17,480 Speaker 1: of public bullying, intimidation, false accusations, and innuendo about my performance. Uh, 427 00:33:19,000 --> 00:33:27,640 Speaker 1: that's odd. Who else has been criticizing Democrat Adrian Garcia 428 00:33:28,280 --> 00:33:37,440 Speaker 1: as an intimidating bully? Oh that's right, Lena Hidalgo. So 429 00:33:37,680 --> 00:33:45,120 Speaker 1: who would tell Barbie Robinson to come out firing at 430 00:33:45,200 --> 00:33:51,240 Speaker 1: Adrian Garcia except maybe just maybe the woman who's been 431 00:33:51,280 --> 00:33:54,520 Speaker 1: out to get him for a while for questioning some 432 00:33:54,640 --> 00:34:00,320 Speaker 1: of her decisions. This is making life very difficult for Rodney. 433 00:34:00,760 --> 00:34:06,160 Speaker 1: He stacked the court with his people, and now they're 434 00:34:06,240 --> 00:34:10,480 Speaker 1: starting the infighting. And when they start the infighting and 435 00:34:10,560 --> 00:34:15,160 Speaker 1: people start getting fired and indicted, that brings people down 436 00:34:15,239 --> 00:34:18,120 Speaker 1: looking as to wait, why is all this African art 437 00:34:18,200 --> 00:34:21,680 Speaker 1: in a county facility in Rodney Ellis's precinct. Wait? Why 438 00:34:21,719 --> 00:34:23,520 Speaker 1: is the guy who was doing it crooked as a 439 00:34:23,640 --> 00:34:27,480 Speaker 1: barrel of snakes? Wait? Why are contracts being given out 440 00:34:27,520 --> 00:34:29,600 Speaker 1: for millions of dollars? Wait? 441 00:34:29,840 --> 00:34:29,920 Speaker 6: What? 442 00:34:30,840 --> 00:34:33,400 Speaker 1: Yeah? Yeah, this is not good for business