1 00:00:03,680 --> 00:00:10,920 Speaker 1: It's that time, time, time, time, luck and load. The 2 00:00:11,119 --> 00:00:13,480 Speaker 1: Michael Very Show is on the air. 3 00:00:13,880 --> 00:00:19,520 Speaker 2: Yeah, corn Pop was a bad dude and he ran 4 00:00:19,640 --> 00:00:21,080 Speaker 2: a bunch of bad boys. 5 00:00:21,400 --> 00:00:23,799 Speaker 3: The first rule of fight club is you do not 6 00:00:23,920 --> 00:00:25,160 Speaker 3: talk about fight club. 7 00:00:25,440 --> 00:00:28,600 Speaker 1: The second rule of fight club is you do not 8 00:00:29,280 --> 00:00:31,639 Speaker 1: talk about fight club. Not a joke. 9 00:00:32,080 --> 00:00:33,839 Speaker 2: And so he's up on the board, wouldn't listen, and 10 00:00:33,840 --> 00:00:36,600 Speaker 2: I said, hey, Esther, you off the board. 11 00:00:36,680 --> 00:00:38,040 Speaker 1: I'll come up and drag you off. 12 00:00:38,560 --> 00:00:40,960 Speaker 2: Well, he came off and he said I'll meet you 13 00:00:40,960 --> 00:00:44,519 Speaker 2: outside my car. This was mostly his We're all public 14 00:00:44,560 --> 00:00:45,440 Speaker 2: housing behind it. 15 00:00:47,000 --> 00:00:47,199 Speaker 4: You know. 16 00:00:47,280 --> 00:00:49,360 Speaker 2: The chain used to be a chain that went across 17 00:00:49,600 --> 00:00:51,920 Speaker 2: the deep end and he cut off the six foot 18 00:00:51,960 --> 00:00:53,720 Speaker 2: left of chain. He pulled up and said, you walk 19 00:00:53,800 --> 00:00:57,040 Speaker 2: out with that chain. And you walked in the car 20 00:00:57,080 --> 00:00:58,960 Speaker 2: and say you may cut me man, but I'm gonna 21 00:00:58,960 --> 00:01:00,520 Speaker 2: wrap this chain around your head. 22 00:01:00,760 --> 00:01:04,640 Speaker 5: I wonder what is your message to Hezbollah, and it's 23 00:01:04,720 --> 00:01:05,680 Speaker 5: backer Iran. 24 00:01:06,080 --> 00:01:06,880 Speaker 1: We don't. 25 00:01:08,200 --> 00:01:09,520 Speaker 6: Don't, don't don't. 26 00:01:09,880 --> 00:01:12,760 Speaker 1: Sureley' isn't be serious. I am serious. Don't call me 27 00:01:12,800 --> 00:01:15,680 Speaker 1: show you don't don't don't. But I'm serious. 28 00:01:15,920 --> 00:01:16,880 Speaker 5: These are the kind of guys. 29 00:01:16,880 --> 00:01:18,759 Speaker 1: You're like a smacking ass. 30 00:01:19,640 --> 00:01:20,040 Speaker 7: You and me. 31 00:01:20,600 --> 00:01:24,640 Speaker 8: We're gonna have a fight today after school, three o'clock 32 00:01:24,840 --> 00:01:25,679 Speaker 8: in the parking lot. 33 00:01:25,880 --> 00:01:28,680 Speaker 2: Press always ask me, don't I wish I were debating him? 34 00:01:29,160 --> 00:01:30,759 Speaker 1: No, I wish you're in high school. I could take 35 00:01:30,760 --> 00:01:31,600 Speaker 1: it behind the gym. 36 00:01:32,120 --> 00:01:35,440 Speaker 9: Mister Dalton Man, nine staples to your DOSSI if three 37 00:01:35,560 --> 00:01:39,840 Speaker 9: men broken downs, two bull owns, nine functions of four 38 00:01:40,000 --> 00:01:41,120 Speaker 9: sailors still screws. 39 00:01:41,120 --> 00:01:43,800 Speaker 6: That's an estimate. Of course, I'll give you a local. 40 00:01:44,160 --> 00:01:44,640 Speaker 1: I thank you. 41 00:01:46,440 --> 00:01:48,559 Speaker 2: Do you enjoy pain paint? 42 00:01:48,600 --> 00:01:54,400 Speaker 1: Don't hurt? Most of my patients would disagree with you, okay. 43 00:01:55,920 --> 00:02:01,160 Speaker 1: Always carry your medical records around with you safe time. 44 00:02:01,560 --> 00:02:05,240 Speaker 2: It's not about being a tough guy. 45 00:02:06,520 --> 00:02:07,360 Speaker 10: Do I get old? 46 00:02:07,400 --> 00:02:07,600 Speaker 4: Man? 47 00:02:07,800 --> 00:02:10,680 Speaker 1: Do you want a piece of meat? I want a 48 00:02:10,720 --> 00:02:13,040 Speaker 1: piece of you. I want the whole thing. 49 00:02:18,720 --> 00:02:21,480 Speaker 2: You can see that I'm mentally incompetent and I can't 50 00:02:21,520 --> 00:02:23,040 Speaker 2: walk you, and I can read the hell out of. 51 00:02:22,960 --> 00:02:23,400 Speaker 1: Both of them. 52 00:02:23,480 --> 00:02:27,240 Speaker 11: So I told you that Boston University Associate Professor Brooke 53 00:02:27,360 --> 00:02:33,480 Speaker 11: Nichols created a computer model, and you know, she just 54 00:02:33,480 --> 00:02:35,280 Speaker 11: wanted to know how many people are going to die 55 00:02:35,960 --> 00:02:44,560 Speaker 11: from the cuts from usaid that dog as proposed, and 56 00:02:44,600 --> 00:02:46,880 Speaker 11: that you know the computer doesn't care one way another. 57 00:02:46,960 --> 00:02:51,200 Speaker 11: The computer just tells the truth. And the computer model 58 00:02:52,080 --> 00:02:54,679 Speaker 11: revealed that three hundred thousand people are going to die. 59 00:02:56,360 --> 00:03:00,000 Speaker 11: That have y'all even thought about that? If you start 60 00:03:00,080 --> 00:03:02,239 Speaker 11: cutting money, all these people are gonna die and it's 61 00:03:02,280 --> 00:03:02,679 Speaker 11: on you. 62 00:03:02,720 --> 00:03:04,360 Speaker 1: They're all gonna die. Where are they to die from? 63 00:03:04,360 --> 00:03:05,040 Speaker 1: They're gonna die? 64 00:03:06,400 --> 00:03:09,600 Speaker 11: You mean, if you don't give all those millions of 65 00:03:09,639 --> 00:03:15,480 Speaker 11: dollars to news organizations that the USAID was giving out. 66 00:03:16,880 --> 00:03:20,200 Speaker 11: You mean, if all the welfare checks to politically connected 67 00:03:20,200 --> 00:03:24,960 Speaker 11: people aren't given, people will die. It's all the ways 68 00:03:25,000 --> 00:03:27,760 Speaker 11: about the children, and people are gonna die, isn't it? 69 00:03:27,960 --> 00:03:34,920 Speaker 11: You ever notice that? But it's the manufacturing of information. 70 00:03:35,720 --> 00:03:41,920 Speaker 11: Just sorry, it's manufacturing of manipulation. It's very very smart. 71 00:03:43,120 --> 00:03:48,800 Speaker 11: This is why government gives so much money to universities, 72 00:03:49,320 --> 00:03:55,960 Speaker 11: because universities are cover for leftist policies and big spending. 73 00:03:57,480 --> 00:04:01,480 Speaker 11: So when this you needed to slow down the momentum 74 00:04:01,680 --> 00:04:08,120 Speaker 11: of doze, you get a university professor at Boston University, 75 00:04:08,240 --> 00:04:11,040 Speaker 11: You get a computer model, You get an exact number 76 00:04:11,040 --> 00:04:11,840 Speaker 11: of people who are. 77 00:04:11,720 --> 00:04:17,760 Speaker 1: Going to die, and it affects how other people react. 78 00:04:19,839 --> 00:04:26,160 Speaker 11: This is manipulation. This is propaganda at its finest. Professor 79 00:04:26,240 --> 00:04:31,080 Speaker 11: at Leftist University publishes report. Leftist news organizations like the 80 00:04:31,120 --> 00:04:35,920 Speaker 11: PBS News Hour run with it. Now, most people don't 81 00:04:35,920 --> 00:04:39,880 Speaker 11: watch PBS News Hour. That's why PBS News Hour needs 82 00:04:39,880 --> 00:04:45,480 Speaker 11: federal funding. But it's people like Bono, the lead singer 83 00:04:45,520 --> 00:04:48,960 Speaker 11: of You Two, who hear it and they go, oh, 84 00:04:49,000 --> 00:04:51,320 Speaker 11: it has to be the truth. It's PBS News Aret, 85 00:04:52,160 --> 00:04:55,520 Speaker 11: And all it really does is reinforce the opinions they 86 00:04:55,520 --> 00:04:58,880 Speaker 11: already have that they're very righteous and they care about people, 87 00:04:59,120 --> 00:04:59,839 Speaker 11: and Trump doesn't. 88 00:04:59,839 --> 00:05:00,920 Speaker 1: He wants everybody to die. 89 00:05:02,920 --> 00:05:07,840 Speaker 11: So they go off and spout this nonsense. So Bono 90 00:05:07,880 --> 00:05:13,880 Speaker 11: goes on with Joe Rogan and he cites this, three 91 00:05:14,000 --> 00:05:17,520 Speaker 11: hundred thousand people have died that a bit. You know, 92 00:05:17,600 --> 00:05:19,360 Speaker 11: this is like the straws. You remember the whole story 93 00:05:19,360 --> 00:05:23,160 Speaker 11: about the straws. Plastic straws were causing the ocean. We're 94 00:05:23,160 --> 00:05:25,680 Speaker 11: going to fill up the ocean with plastic straws. That 95 00:05:25,760 --> 00:05:29,320 Speaker 11: quote was being used. A study had been done. Plastic 96 00:05:29,360 --> 00:05:30,600 Speaker 11: straws were going to fill up the oose. We had 97 00:05:30,600 --> 00:05:32,760 Speaker 11: to stop with plastic straws, so you had to use 98 00:05:32,800 --> 00:05:36,600 Speaker 11: the paper straws that didn't hold up. You had to 99 00:05:36,640 --> 00:05:39,479 Speaker 11: be inconvenienced, just like global warming, you had to be inconvenience. 100 00:05:39,720 --> 00:05:41,520 Speaker 11: It turned out it was a little kid who had 101 00:05:41,520 --> 00:05:43,320 Speaker 11: come up with that, and it had been reported so 102 00:05:43,360 --> 00:05:45,360 Speaker 11: many times, like the telephone game, nobody knew where it 103 00:05:45,400 --> 00:05:45,880 Speaker 11: came from. 104 00:05:46,160 --> 00:05:49,200 Speaker 1: So listen to this just recent report. 105 00:05:51,320 --> 00:05:55,599 Speaker 12: It's not proven, but the surveillance enough suggests three hundred 106 00:05:55,600 --> 00:05:58,320 Speaker 12: thousand people have already died from just. 107 00:05:58,279 --> 00:06:02,119 Speaker 1: This cut off, this hard cut of us aid. 108 00:06:07,080 --> 00:06:12,839 Speaker 11: He said that, and he believes that. You know, I 109 00:06:13,000 --> 00:06:22,440 Speaker 11: have for years wondered what percentage make up the two 110 00:06:22,480 --> 00:06:30,120 Speaker 11: positions of people, let's say the vaccine and mandatory shots, 111 00:06:30,520 --> 00:06:34,600 Speaker 11: let's say global warming, let's say the training issue. You know, 112 00:06:34,640 --> 00:06:38,040 Speaker 11: boys can be and the two sides of this coin aren't. 113 00:06:38,040 --> 00:06:42,800 Speaker 11: The first one is people who don't believe the nonsense 114 00:06:42,839 --> 00:06:47,560 Speaker 11: they're saying, but it's part of what they need to do. 115 00:06:48,960 --> 00:06:50,640 Speaker 1: In order to be righteous. 116 00:06:50,240 --> 00:06:56,640 Speaker 11: And a democrat and a university professor, and in order 117 00:06:56,760 --> 00:07:01,360 Speaker 11: to be accepted into the gang of the left, in 118 00:07:01,440 --> 00:07:03,800 Speaker 11: order to be able to go to the right cocktail 119 00:07:03,880 --> 00:07:10,080 Speaker 11: parties and be accepted as one of their own. So 120 00:07:10,160 --> 00:07:14,040 Speaker 11: there are people who will spout this nonsense who really 121 00:07:14,240 --> 00:07:18,520 Speaker 11: don't believe it or care to think about it, but 122 00:07:18,560 --> 00:07:19,200 Speaker 11: they'll cit it. 123 00:07:19,120 --> 00:07:19,920 Speaker 1: Because they're supposed to. 124 00:07:20,200 --> 00:07:20,400 Speaker 7: Right. 125 00:07:21,480 --> 00:07:23,640 Speaker 11: And then there are the people who are the true believers, 126 00:07:24,880 --> 00:07:28,080 Speaker 11: and they're dangerous because they were able to be duped. 127 00:07:28,880 --> 00:07:32,640 Speaker 11: The first group is dangerous because this is how they pivot, 128 00:07:32,880 --> 00:07:35,320 Speaker 11: this is how they have you know, one group is 129 00:07:35,320 --> 00:07:37,160 Speaker 11: the favorite group on Monday, and then then all of 130 00:07:37,160 --> 00:07:39,240 Speaker 11: a sudden they turn against that group, they go to 131 00:07:39,280 --> 00:07:44,240 Speaker 11: a different group. They're dangerous for that reason. Bono actually 132 00:07:44,280 --> 00:07:48,120 Speaker 11: believes the nonsense he does. He's just a. 133 00:07:48,120 --> 00:07:48,720 Speaker 1: Dumb dug. 134 00:07:51,440 --> 00:07:55,840 Speaker 3: Bizarre is on well done. So this is the Michael 135 00:07:55,880 --> 00:08:00,320 Speaker 3: Berry Show. Maybe what that old boys looking for is 136 00:08:00,320 --> 00:08:00,720 Speaker 3: the truth. 137 00:08:00,840 --> 00:08:03,240 Speaker 11: And it is clear by that stupid statement that he 138 00:08:03,440 --> 00:08:04,640 Speaker 11: definitely ain't ever heard it. 139 00:08:04,960 --> 00:08:07,559 Speaker 1: No, he needs to change his attitudes. What needs to happen. 140 00:08:07,760 --> 00:08:12,680 Speaker 1: Just listen. It's still it's like these little kids. 141 00:08:12,760 --> 00:08:13,640 Speaker 7: You know, I see this. 142 00:08:14,200 --> 00:08:16,880 Speaker 1: You'll find this when you go to the schools. The 143 00:08:16,920 --> 00:08:18,840 Speaker 1: little kids will get up on stage. It's they're time 144 00:08:18,880 --> 00:08:19,360 Speaker 1: to present the. 145 00:08:20,080 --> 00:08:22,400 Speaker 4: I want us save the world. I don't want us 146 00:08:22,440 --> 00:08:24,800 Speaker 4: to burn the world up. Well we have to do 147 00:08:25,040 --> 00:08:27,120 Speaker 4: is not burn no world up. And so we have 148 00:08:27,200 --> 00:08:31,200 Speaker 4: to al redy cycle. Where'd you learn that nonsense? Where 149 00:08:31,200 --> 00:08:32,040 Speaker 4: did you learn that? 150 00:08:32,960 --> 00:08:35,000 Speaker 11: I want us to save the world and not burn 151 00:08:35,080 --> 00:08:36,880 Speaker 11: it up like has been done in the past. 152 00:08:37,160 --> 00:08:39,400 Speaker 1: We have to be better and not burn the world. 153 00:08:39,600 --> 00:08:43,280 Speaker 1: We have to It's just nuts. 154 00:08:43,559 --> 00:08:46,200 Speaker 11: I mean, just listen to him talk here, dude, just 155 00:08:46,400 --> 00:08:49,760 Speaker 11: sing your little songs. Stop trying to have opinions on 156 00:08:50,120 --> 00:08:52,359 Speaker 11: Stop trying to participate in adult conversation. 157 00:08:52,880 --> 00:08:54,320 Speaker 1: Just recent report. 158 00:08:56,080 --> 00:09:00,400 Speaker 12: It's not proven, but there's surveillance enough suggests three hundred 159 00:09:00,440 --> 00:09:03,240 Speaker 12: thousand people have already died from just. 160 00:09:03,160 --> 00:09:06,760 Speaker 1: This cut off, this hard cut of USA. 161 00:09:06,880 --> 00:09:13,200 Speaker 12: I d So there's food rotting in boats and warehouses. 162 00:09:13,600 --> 00:09:16,120 Speaker 1: There is this this this will. 163 00:09:16,320 --> 00:09:19,280 Speaker 12: Will you off, this will not you will not be happy, 164 00:09:19,720 --> 00:09:20,760 Speaker 12: no American will. 165 00:09:20,840 --> 00:09:22,040 Speaker 1: But there is. 166 00:09:22,559 --> 00:09:26,960 Speaker 12: And he has fifty thousand tons of food that are 167 00:09:27,000 --> 00:09:31,640 Speaker 12: stored in Chibouti, South Africa, Dubai and. 168 00:09:31,640 --> 00:09:33,840 Speaker 1: Wait for it, Houston, Texas. 169 00:09:34,679 --> 00:09:38,040 Speaker 12: And that is a rotting rather than going to Gaza 170 00:09:38,120 --> 00:09:42,560 Speaker 12: routher than going to True because the people who know 171 00:09:42,679 --> 00:09:47,480 Speaker 12: the coats or for the warehouse are fired, They're gone. 172 00:09:48,240 --> 00:09:52,560 Speaker 1: And so this I don't know, I just it's what 173 00:09:52,640 --> 00:09:53,240 Speaker 1: do you think? 174 00:09:53,440 --> 00:09:53,480 Speaker 11: What? 175 00:09:54,280 --> 00:09:57,959 Speaker 1: What is? What is that that's that's not America. 176 00:09:57,640 --> 00:09:57,920 Speaker 10: Is it. 177 00:09:57,960 --> 00:10:00,400 Speaker 9: Well, they're throwing the baby out with the bath water, right, 178 00:10:00,440 --> 00:10:04,800 Speaker 9: This is the problem. The problem is, for sure, there 179 00:10:04,880 --> 00:10:08,760 Speaker 9: have been a lot of organizations that do tremendous good 180 00:10:08,960 --> 00:10:11,800 Speaker 9: all throughout the world. Also, for sure, it was a 181 00:10:11,800 --> 00:10:16,199 Speaker 9: money laundering operation. For sure, there was no oversight. For sure, 182 00:10:16,360 --> 00:10:19,560 Speaker 9: billions of dollars are missing. In fact, trillions that are 183 00:10:19,600 --> 00:10:24,800 Speaker 9: unaccounted for that were sent off into various they don't 184 00:10:24,800 --> 00:10:28,160 Speaker 9: even know where because there's no receipts. The way Elon 185 00:10:28,240 --> 00:10:30,280 Speaker 9: must describe that, he said, if any of this was 186 00:10:30,320 --> 00:10:33,960 Speaker 9: done by a public company, the company would be delisted 187 00:10:34,360 --> 00:10:36,040 Speaker 9: and the executives would be in prison. 188 00:10:36,520 --> 00:10:38,360 Speaker 1: But in the United States, it's a standard. 189 00:10:38,920 --> 00:10:43,600 Speaker 9: When Biden left office, when it was clear that Trump won, 190 00:10:43,760 --> 00:10:48,080 Speaker 9: in the seventy three days, they spent ninety three billion 191 00:10:48,200 --> 00:10:52,920 Speaker 9: dollars from the Department of Energy on just radical loans, 192 00:10:52,960 --> 00:10:58,840 Speaker 9: just throwing money into places, and there's no oversight, no receipts. 193 00:10:59,280 --> 00:11:02,360 Speaker 1: Like the whole thing is, there's a lot of fraud, 194 00:11:02,679 --> 00:11:04,120 Speaker 1: a lot of money laundering. 195 00:11:06,880 --> 00:11:12,079 Speaker 11: So what ends up happening is most people don't push 196 00:11:12,160 --> 00:11:16,120 Speaker 11: back on that, so they're so excited that Bono will 197 00:11:16,160 --> 00:11:19,240 Speaker 11: come on to promote his latest tour or album or 198 00:11:19,280 --> 00:11:23,240 Speaker 11: whatever else. And in the midst of doing that, he 199 00:11:23,320 --> 00:11:28,000 Speaker 11: wants to show that because here's what happens, Bono's really rich. 200 00:11:29,160 --> 00:11:30,880 Speaker 1: He lives a great life. 201 00:11:31,160 --> 00:11:35,240 Speaker 11: So they worry in that situation that people will begin 202 00:11:35,320 --> 00:11:37,200 Speaker 11: to resent them. 203 00:11:37,480 --> 00:11:40,480 Speaker 1: So in order to appear to. 204 00:11:40,520 --> 00:11:45,480 Speaker 11: Be giving back, you know, concerned, wanting to help, they 205 00:11:45,520 --> 00:11:50,439 Speaker 11: have big boy opinions. I'm really upset about you know, 206 00:11:51,000 --> 00:11:55,720 Speaker 11: food rotting and children dying, and and I just I 207 00:11:55,760 --> 00:11:59,400 Speaker 11: know euro upset to you know, three hundred thousand people 208 00:11:59,440 --> 00:12:02,480 Speaker 11: if died and the food is just sitting and rotting. 209 00:12:03,520 --> 00:12:07,240 Speaker 11: And so you get a lot of low information voters 210 00:12:08,520 --> 00:12:11,960 Speaker 11: who they hear this. They heard something about it in 211 00:12:11,960 --> 00:12:14,840 Speaker 11: the news, they scrolled it on a headline, there was 212 00:12:14,880 --> 00:12:18,400 Speaker 11: maybe something on Instagram. And then three people that they 213 00:12:18,480 --> 00:12:22,000 Speaker 11: know who follow Bono hear him say that, and they 214 00:12:22,000 --> 00:12:25,480 Speaker 11: have no reason to be skeptical. It just must be 215 00:12:25,559 --> 00:12:29,719 Speaker 11: the truth, so they repeat it. Also, the Left is 216 00:12:30,240 --> 00:12:35,280 Speaker 11: making this happen because Elon Musk is on his way 217 00:12:35,320 --> 00:12:40,840 Speaker 11: out the door and they need him to be disgraced. 218 00:12:42,000 --> 00:12:44,480 Speaker 11: They called him a Nazi. Remember they called him a Nazi. 219 00:12:45,440 --> 00:12:49,880 Speaker 11: They compared him to history's most notorious mass murderers. 220 00:12:50,679 --> 00:12:50,920 Speaker 1: Now. 221 00:12:51,080 --> 00:12:55,280 Speaker 11: Megan Touwhey is a New York Times investigative reporter, and 222 00:12:55,480 --> 00:13:01,400 Speaker 11: she told MSNBC that Musk has a drug problem. Wait 223 00:13:01,440 --> 00:13:04,440 Speaker 11: a minute, I don't know if he does or doesn't. 224 00:13:05,240 --> 00:13:08,080 Speaker 11: But what does that have to do with anything. Well, 225 00:13:08,679 --> 00:13:11,800 Speaker 11: what they're trying to show for anyone who might be 226 00:13:11,920 --> 00:13:16,560 Speaker 11: wondering if you want to help Trump and you're a 227 00:13:16,559 --> 00:13:21,840 Speaker 11: famous person, You've got skeletons in your pocket. You've got 228 00:13:21,960 --> 00:13:24,240 Speaker 11: skeletons in your closet, not in your pocket, you could 229 00:13:24,280 --> 00:13:27,440 Speaker 11: have him in your pocket. You've got skeletons in your closet, 230 00:13:28,320 --> 00:13:31,640 Speaker 11: and we're going to shame you. Make no mistake. This 231 00:13:31,760 --> 00:13:33,959 Speaker 11: was a scarecrow deal. This is a scarecrow hit. I 232 00:13:34,000 --> 00:13:36,520 Speaker 11: don't know that it's true. Doesn't matter if it's true 233 00:13:36,559 --> 00:13:40,320 Speaker 11: to me, honestly, it really doesn't. It doesn't affect what 234 00:13:40,360 --> 00:13:43,320 Speaker 11: he's done. But what he's doing. This is not for 235 00:13:43,360 --> 00:13:49,800 Speaker 11: Elon Musk. This is for anyone else who dares dares 236 00:13:50,040 --> 00:13:54,320 Speaker 11: think that you're going to help Donald Trump fix the government, 237 00:13:54,440 --> 00:13:59,000 Speaker 11: because when you do, we're going We're going after your company, 238 00:13:59,559 --> 00:14:02,960 Speaker 11: We're going after the people who are consumers of your company. 239 00:14:03,080 --> 00:14:05,600 Speaker 11: The same New York Times wrote a lie of a 240 00:14:05,640 --> 00:14:10,640 Speaker 11: story that the Tesla board was looking for a replacement. 241 00:14:10,679 --> 00:14:14,240 Speaker 11: They were tired of Elon. He called them on it, 242 00:14:14,920 --> 00:14:17,400 Speaker 11: threatened to sue him. They backed down and said, you're right, 243 00:14:17,440 --> 00:14:20,000 Speaker 11: we made it up, and they just move on down 244 00:14:20,000 --> 00:14:25,280 Speaker 11: the road. Well, that didn't happen by accident. It did 245 00:14:25,320 --> 00:14:29,160 Speaker 11: not happen by accident. It happened because they were going 246 00:14:29,200 --> 00:14:35,400 Speaker 11: after it. They're they're they're they're strafing Elon Muskville, anything 247 00:14:35,440 --> 00:14:41,160 Speaker 11: and everything associated with him. They're trying to very publicly 248 00:14:41,600 --> 00:14:47,080 Speaker 11: destroy in order to show anyone else. Don't you dare, 249 00:14:48,440 --> 00:14:50,480 Speaker 11: Don't you dare think you can help Trump, because this 250 00:14:50,560 --> 00:14:51,760 Speaker 11: is what will do. You see what they did to 251 00:14:51,880 --> 00:14:55,280 Speaker 11: Elon musk and famous people. They see this happen here 252 00:14:55,320 --> 00:14:55,600 Speaker 11: she is. 253 00:14:57,040 --> 00:15:01,480 Speaker 13: There has been some coverage of Elon's drug use in 254 00:15:01,520 --> 00:15:05,520 Speaker 13: the past. He himself has acknowledged that he used ketamine, 255 00:15:05,560 --> 00:15:08,400 Speaker 13: as he said it was with a prescription in only 256 00:15:08,440 --> 00:15:12,720 Speaker 13: every couple of weeks to help with depression. But what 257 00:15:12,760 --> 00:15:15,200 Speaker 13: we found is that the drug use was much more 258 00:15:15,240 --> 00:15:19,560 Speaker 13: frequently than previously known, and it wasn't just the volume. 259 00:15:19,680 --> 00:15:23,480 Speaker 13: It was that these drugs appeared to be mixed, so 260 00:15:23,720 --> 00:15:27,040 Speaker 13: from the ketamine use that at times has been near 261 00:15:27,200 --> 00:15:29,920 Speaker 13: daily and got to the point where it's was causing 262 00:15:29,960 --> 00:15:33,120 Speaker 13: bladder issues as he was joining Trump on the campaign trail, 263 00:15:33,760 --> 00:15:37,800 Speaker 13: to the use of ecstasy and psychedelic mushrooms as well 264 00:15:37,840 --> 00:15:42,360 Speaker 13: as this pillbox that contained as many as twenty pills, 265 00:15:42,400 --> 00:15:45,720 Speaker 13: including one with the marking of adderall So, there were 266 00:15:45,760 --> 00:15:48,600 Speaker 13: some people close to him. It's been really hard for 267 00:15:48,680 --> 00:15:52,160 Speaker 13: reporters to penetrate circle of people who know him, But 268 00:15:53,000 --> 00:15:55,280 Speaker 13: in recent months people had started to talk to me 269 00:15:55,320 --> 00:15:58,840 Speaker 13: and my colleague Kirsten grind because there have been people 270 00:15:58,880 --> 00:16:01,440 Speaker 13: close to him who have had concerned about this dria. 271 00:16:01,840 --> 00:16:04,600 Speaker 3: This is this is the Michael Berries Show. 272 00:16:04,760 --> 00:16:06,000 Speaker 1: Yeah, that's. 273 00:16:09,720 --> 00:16:14,040 Speaker 11: A real headline up here that in Newsweek said, eighty 274 00:16:14,200 --> 00:16:22,040 Speaker 11: years after Auschwitz, Elon Musk keeps the fascist salute alive 275 00:16:24,920 --> 00:16:27,600 Speaker 11: and will remind you it was the Nazis, not the 276 00:16:27,600 --> 00:16:33,760 Speaker 11: Fascists who ran Auschwitz. But we'll leave that alone for 277 00:16:33,800 --> 00:16:40,120 Speaker 11: a moment. The media tried to paint this was January 278 00:16:40,160 --> 00:16:43,880 Speaker 11: twenty sixth, sorry, January twenty seventh of this year. The 279 00:16:44,000 --> 00:16:47,560 Speaker 11: media actually tried to paint Elon Musk as a Nazi. 280 00:16:48,040 --> 00:16:51,880 Speaker 11: Now there they're using the word fascist. But in the 281 00:16:51,920 --> 00:16:59,520 Speaker 11: context of the concentration camp at Auschwitz you probably remember. 282 00:16:59,520 --> 00:17:03,680 Speaker 11: But Elon touched his heart and then he extended his 283 00:17:03,800 --> 00:17:09,280 Speaker 11: hand outward like a backhand, at an upward trajectory, as 284 00:17:09,320 --> 00:17:13,440 Speaker 11: a thank you, a very common gesture. I am moved, 285 00:17:13,840 --> 00:17:16,600 Speaker 11: thank you. This is you first touch your heart, You're 286 00:17:16,680 --> 00:17:24,400 Speaker 11: in my heart. Thank you, gracious way and Newsweek's headline 287 00:17:24,440 --> 00:17:28,240 Speaker 11: from that day was eighty years after Auschwitz, Elon Musk 288 00:17:28,400 --> 00:17:33,040 Speaker 11: keeps fascist salute alive. This is one year into the 289 00:17:33,400 --> 00:17:37,640 Speaker 11: one month into the Trump administration, and he was making 290 00:17:37,760 --> 00:17:41,719 Speaker 11: great headway. So how do we gum up the works? 291 00:17:41,800 --> 00:17:46,280 Speaker 11: How do this race car is lapping us? Can we 292 00:17:46,600 --> 00:17:50,320 Speaker 11: puncture the tire? So this was one of many things 293 00:17:50,359 --> 00:17:54,400 Speaker 11: they did. California Democrat Robert Garcia told CNN's Jim Acosta 294 00:17:55,240 --> 00:17:57,280 Speaker 11: that that was definitely a Nazi slope. 295 00:17:57,320 --> 00:18:00,480 Speaker 1: He would know definitely that guy's a Nazi. 296 00:18:01,880 --> 00:18:04,879 Speaker 5: I did want to ask you about the inauguration yesterday, 297 00:18:05,119 --> 00:18:07,359 Speaker 5: Elon Musk, I'm sure you saw this. The head of 298 00:18:07,400 --> 00:18:11,600 Speaker 5: the new Department of Government Efficiency, he spoke yesterday and 299 00:18:11,720 --> 00:18:15,600 Speaker 5: during his speech he used a hand gesture that looked 300 00:18:15,720 --> 00:18:17,159 Speaker 5: like a Nazi salute. 301 00:18:17,680 --> 00:18:18,479 Speaker 1: Let's watch that. 302 00:18:18,840 --> 00:18:21,199 Speaker 13: You know, there are elections that the elections that come 303 00:18:21,240 --> 00:18:21,479 Speaker 13: and go. 304 00:18:21,640 --> 00:18:25,440 Speaker 14: Some some elections are you know, important, some or not. 305 00:18:25,600 --> 00:18:31,240 Speaker 10: But this one, this one, this one really matters. 306 00:18:32,440 --> 00:18:35,320 Speaker 11: And I just want to say thank you for making 307 00:18:35,359 --> 00:18:35,800 Speaker 11: it happen. 308 00:18:36,280 --> 00:18:36,679 Speaker 1: Thank you. 309 00:18:40,960 --> 00:18:44,600 Speaker 5: After this moment when viral congressman, the Anti Defamation League 310 00:18:44,640 --> 00:18:46,440 Speaker 5: released the statement we can show this, saying, in part, 311 00:18:46,480 --> 00:18:48,840 Speaker 5: it seems that Elon Musk made an awkward gesture in 312 00:18:48,880 --> 00:18:53,200 Speaker 5: a moment of enthusiasm, not a Nazi salute. Of course, 313 00:18:53,480 --> 00:18:56,200 Speaker 5: if you go on social media, there are lots of 314 00:18:56,240 --> 00:19:00,040 Speaker 5: other people with lots of other opinions and say, this 315 00:19:00,080 --> 00:19:03,040 Speaker 5: looks very much like a Nazi salute. No matter how 316 00:19:03,080 --> 00:19:04,840 Speaker 5: they're trying to clean it up. 317 00:19:05,160 --> 00:19:06,240 Speaker 1: What was your reaction to. 318 00:19:06,200 --> 00:19:09,399 Speaker 15: That that was a Nazi salute? And he didn't just 319 00:19:09,480 --> 00:19:12,600 Speaker 15: do it one time, he did it twice for emphasis, 320 00:19:12,680 --> 00:19:15,960 Speaker 15: And if he talked to anyone the historians folks actually 321 00:19:16,040 --> 00:19:19,480 Speaker 15: study the Nazis and study this actual kind of discussing display, 322 00:19:19,880 --> 00:19:22,520 Speaker 15: will have been very clear that what that was and 323 00:19:22,600 --> 00:19:25,199 Speaker 15: he should not just apologize, he. 324 00:19:25,200 --> 00:19:26,800 Speaker 1: Should be condemned for those. 325 00:19:26,720 --> 00:19:30,199 Speaker 15: Kinds of actions so gross disgusting, but more of what 326 00:19:30,240 --> 00:19:32,639 Speaker 15: we can expect, I think from Elon Musk. 327 00:19:32,359 --> 00:19:39,119 Speaker 1: And Donald Trump. The exact same gesture. 328 00:19:40,760 --> 00:19:47,879 Speaker 11: Was used by Corey Booker, the senator from New Jersey. 329 00:19:48,680 --> 00:19:55,240 Speaker 11: The headline, again in Newsweek, was not eighty years after Auschwitz, 330 00:19:56,160 --> 00:19:58,480 Speaker 11: Democrat Corey Booker. 331 00:20:01,040 --> 00:20:02,600 Speaker 1: Is clearly a Nazi. 332 00:20:03,560 --> 00:20:10,600 Speaker 11: Instead, the headline was, Maga accuses Democrat Senator Corey Booker 333 00:20:10,720 --> 00:20:15,000 Speaker 11: of doing Nazi salute. You can watch them side by side. 334 00:20:15,040 --> 00:20:20,159 Speaker 11: They are the exact same gesture. And how did the 335 00:20:20,240 --> 00:20:30,119 Speaker 11: media respond? Since we're on the subject of the media 336 00:20:30,680 --> 00:20:35,159 Speaker 11: and the damage they do. I was thinking it's not related, 337 00:20:35,200 --> 00:20:36,320 Speaker 11: but I guess in some ways it is. 338 00:20:37,880 --> 00:20:38,320 Speaker 1: I was. 339 00:20:40,840 --> 00:20:44,600 Speaker 11: And we went back with the George Floyd five years 340 00:20:44,960 --> 00:20:50,119 Speaker 11: of the anniversary of George Floyd's sobriety a couple of 341 00:20:50,160 --> 00:20:55,800 Speaker 11: weeks ago, and I listened. One of the news accounts 342 00:20:56,280 --> 00:21:04,480 Speaker 11: I watched was about the burning of American cities, the 343 00:21:04,720 --> 00:21:07,720 Speaker 11: absolute burning of American cities. 344 00:21:07,760 --> 00:21:09,440 Speaker 1: This was NBC News listening to this. 345 00:21:11,040 --> 00:21:14,800 Speaker 10: Looting underway nearbyes please seem to have had enough and 346 00:21:14,960 --> 00:21:18,639 Speaker 10: into the early morning hours, dozens of American cities up 347 00:21:18,680 --> 00:21:29,119 Speaker 10: in flames. After some protests turned into riots. 348 00:21:25,320 --> 00:21:26,800 Speaker 1: Often followed by looting. 349 00:21:27,080 --> 00:21:31,320 Speaker 10: As a nation simmering with unrest unraveled, how long can 350 00:21:31,400 --> 00:21:32,880 Speaker 10: you be people. 351 00:21:35,680 --> 00:21:42,720 Speaker 11: Cities were burning to the ground. That's an insurrection. That 352 00:21:42,920 --> 00:21:50,280 Speaker 11: is everything January sixth wasn't. And yet we were told, 353 00:21:50,520 --> 00:21:55,520 Speaker 11: I understand why they're angry, it's justified. Republican Congressman Dan 354 00:21:55,560 --> 00:21:58,520 Speaker 11: Crenshaw said, I understand, it's justified. Say why they're angry. 355 00:21:58,600 --> 00:22:03,760 Speaker 11: Kamala Harris was running for vice president at the time, 356 00:22:05,080 --> 00:22:08,000 Speaker 11: and she raised money to get guys out of jail 357 00:22:08,840 --> 00:22:13,120 Speaker 11: who were involved in burning down buildings, and. 358 00:22:13,040 --> 00:22:15,360 Speaker 1: They proceeded to go right back out and start. 359 00:22:15,119 --> 00:22:20,240 Speaker 11: Burning down buildings again. And yet people went to prison 360 00:22:20,280 --> 00:22:23,480 Speaker 11: over January sixth. Well, I'll tell you. 361 00:22:25,440 --> 00:22:26,440 Speaker 1: It's a good thing. 362 00:22:26,640 --> 00:22:30,879 Speaker 11: Our side is patient because we have been kicked so 363 00:22:31,040 --> 00:22:37,600 Speaker 11: many times. Decent, honorable people have been kicked so many. 364 00:22:37,320 --> 00:22:41,439 Speaker 1: Times meanwhile, and lied to. 365 00:22:42,440 --> 00:22:47,960 Speaker 11: Meanwhile, Missouri Senator Josh Hawley says a Secret Service whistleblower 366 00:22:48,680 --> 00:22:51,800 Speaker 11: told him that Joe Biden used to get lost in 367 00:22:51,880 --> 00:22:55,560 Speaker 11: his own closet. That's like a bad joke, but it's true. 368 00:22:56,119 --> 00:22:59,320 Speaker 16: Listen, I'll tell you something that I haven't said before 369 00:22:59,359 --> 00:23:02,240 Speaker 16: because it came from I'm a Secret Service whistleblower. This 370 00:23:02,320 --> 00:23:04,240 Speaker 16: past year, I talked to so many of them after 371 00:23:04,280 --> 00:23:08,080 Speaker 16: the attempted assassinations of President Trump. But this Secret Service 372 00:23:08,320 --> 00:23:11,320 Speaker 16: whistleblower actually was assigned to Biden, and he told me 373 00:23:12,040 --> 00:23:14,840 Speaker 16: that Biden used to get lost in his closet in 374 00:23:14,920 --> 00:23:17,400 Speaker 16: the mornings in the White House. I mean, the guy 375 00:23:17,600 --> 00:23:21,040 Speaker 16: literally stumbling around in the White House residents couldn't find 376 00:23:21,080 --> 00:23:25,040 Speaker 16: his way out of his own closet. The president of 377 00:23:25,119 --> 00:23:26,120 Speaker 16: the United States. 378 00:23:26,200 --> 00:23:29,159 Speaker 1: I mean, this is outrageous. We were lied to. 379 00:23:31,760 --> 00:23:35,959 Speaker 11: I mean, that was the President of the United States, 380 00:23:37,280 --> 00:23:39,640 Speaker 11: and now they all act like they didn't know it. 381 00:23:41,640 --> 00:23:44,840 Speaker 11: People that met with him, Majorca said, he's the problem 382 00:23:44,880 --> 00:23:49,760 Speaker 11: with meeting with him is he's so smart. Majorcas was 383 00:23:49,760 --> 00:23:53,080 Speaker 11: the head of Department of Homeland Security. He was meeting 384 00:23:53,080 --> 00:23:58,000 Speaker 11: with him weeklier, meeting with him regularly, couldn't meet with 385 00:23:58,080 --> 00:23:59,000 Speaker 11: him weekly. 386 00:23:58,760 --> 00:24:00,520 Speaker 1: Because he was out of at most of the time. 387 00:24:01,800 --> 00:24:08,360 Speaker 1: I mean, my goodness alive, he. 388 00:24:08,400 --> 00:24:11,280 Speaker 11: Was looking us in the eye and lying about that 389 00:24:12,359 --> 00:24:17,119 Speaker 11: while also telling us, as it turns out, that our 390 00:24:17,160 --> 00:24:20,480 Speaker 11: border was secure, that we didn't have anything to worry 391 00:24:20,520 --> 00:24:23,920 Speaker 11: about with all these people coming in, that they weren't 392 00:24:23,960 --> 00:24:25,399 Speaker 11: involved in making it happen. 393 00:24:27,119 --> 00:24:32,240 Speaker 8: They're absolute pathological liars. I mean, there's no other way 394 00:24:32,280 --> 00:24:34,840 Speaker 8: than this, There's no other answer than this. You have 395 00:24:34,920 --> 00:24:37,800 Speaker 8: to start from that premise. 396 00:24:38,000 --> 00:24:38,760 Speaker 1: Michael Berry. 397 00:24:39,359 --> 00:24:47,120 Speaker 11: Michael Berry, I'm not on TikTok, but folks will send 398 00:24:47,160 --> 00:24:51,400 Speaker 11: me stuff on TikTok that they convert from my use. 399 00:24:52,600 --> 00:24:58,639 Speaker 11: And this was a parody, is a parody ad for 400 00:24:58,720 --> 00:25:04,560 Speaker 11: Harvard University, and it was done as if if the 401 00:25:04,680 --> 00:25:07,320 Speaker 11: university were to put out an honest ad that this 402 00:25:07,400 --> 00:25:13,280 Speaker 11: would be it. The TikTok account. I give credit when 403 00:25:13,320 --> 00:25:16,080 Speaker 11: I know it. I think it's important. It's called in 404 00:25:16,119 --> 00:25:18,359 Speaker 11: the event I go missing. So if you wanted to 405 00:25:18,400 --> 00:25:20,399 Speaker 11: track them down on TikTok, I don't know how you 406 00:25:20,440 --> 00:25:24,080 Speaker 11: do that. But anyway, I thought it was just a 407 00:25:24,119 --> 00:25:27,919 Speaker 11: funny parody. And we all need a good laugh this time. 408 00:25:27,800 --> 00:25:30,280 Speaker 14: Of day, don't we ever wish your child was a 409 00:25:30,320 --> 00:25:33,159 Speaker 14: full blown liberal idiot desperate to turn them into a 410 00:25:33,240 --> 00:25:35,760 Speaker 14: Jew hating extremist who'd rather burn a flag than think 411 00:25:35,800 --> 00:25:39,639 Speaker 14: for themselves. Well, Harvard University has the answer. For the 412 00:25:39,720 --> 00:25:43,359 Speaker 14: low low price of half a million dollars will transform 413 00:25:43,440 --> 00:25:45,720 Speaker 14: your kid into the kind of zealot who sets bags 414 00:25:46,119 --> 00:25:49,200 Speaker 14: on fire in the street, screaming about whatever CNN's whining 415 00:25:49,280 --> 00:25:52,840 Speaker 14: about today. Our elite program guarantees they'll swap reason for 416 00:25:52,960 --> 00:25:55,920 Speaker 14: rage and facts for feelings faster than you can say 417 00:25:55,960 --> 00:25:56,879 Speaker 14: protest permit. 418 00:25:57,400 --> 00:25:58,680 Speaker 1: But wait, there's more. 419 00:25:59,000 --> 00:26:02,560 Speaker 14: Our tuition doesn't. The essentials blue hair dye, nose piercings, 420 00:26:02,560 --> 00:26:04,480 Speaker 14: and a weak, flaccid body are sold separately. 421 00:26:04,880 --> 00:26:06,000 Speaker 1: And don't forget parents. 422 00:26:06,160 --> 00:26:09,040 Speaker 14: You'll be footing the bill for these, plus financially supporting 423 00:26:09,040 --> 00:26:11,560 Speaker 14: your adult child for the rest of their life because 424 00:26:11,600 --> 00:26:15,040 Speaker 14: they'll never become productive members of society. Why work when 425 00:26:15,080 --> 00:26:17,760 Speaker 14: you can protest results not guaranteed. 426 00:26:17,960 --> 00:26:21,720 Speaker 17: Side effects include chronic virtue signaling, allergic reactions to logic, 427 00:26:21,840 --> 00:26:25,080 Speaker 17: and an obsession with trending hashtags. Harvard University is not 428 00:26:25,119 --> 00:26:28,440 Speaker 17: liable for arrests, property damage for your kid's newfound hatred 429 00:26:28,480 --> 00:26:30,720 Speaker 17: of you. Consult your bank account before enrolling. 430 00:26:33,000 --> 00:26:37,720 Speaker 1: Pretty well done, I mean it sounds real. So another thing. 431 00:26:37,600 --> 00:26:40,200 Speaker 11: On TikTok Again. I'm not on TikTok, but people will 432 00:26:40,240 --> 00:26:43,399 Speaker 11: convert things to audio files and send to me, and 433 00:26:43,440 --> 00:26:46,920 Speaker 11: I thought this one was particularly good. It's a woman 434 00:26:47,040 --> 00:26:52,040 Speaker 11: named Eileen MacIntyre. That's the account name well, you don't 435 00:26:52,080 --> 00:26:58,679 Speaker 11: hear names like Eileen anymore or Ronda. Eileen was originally 436 00:26:58,720 --> 00:27:01,200 Speaker 11: created as a name for a person with only one leg, 437 00:27:01,960 --> 00:27:05,160 Speaker 11: but it grew No, it wasn't okay. It was very 438 00:27:05,160 --> 00:27:11,200 Speaker 11: common though, Aileen, Ronda. You know, little babies today don't 439 00:27:11,240 --> 00:27:16,119 Speaker 11: have the names Jennifer, Jessica, and Julie, which were very popular. 440 00:27:17,480 --> 00:27:19,760 Speaker 11: I mean, if a woman is fifty four years old 441 00:27:20,400 --> 00:27:24,359 Speaker 11: in the United States today, a white woman, it's fifty 442 00:27:24,359 --> 00:27:28,120 Speaker 11: four years old, the likelihood that she's a Julie, a Jessica, 443 00:27:28,240 --> 00:27:34,840 Speaker 11: or a Jennifer it is very, very high, very high. Anyway, 444 00:27:35,920 --> 00:27:38,280 Speaker 11: So Eileen McIntyre, in case you want to follow up 445 00:27:38,280 --> 00:27:43,199 Speaker 11: with this, woman posted a video about Generation X in 446 00:27:43,280 --> 00:27:47,080 Speaker 11: how we're the last generation before technology and cell phones. 447 00:27:47,960 --> 00:27:48,280 Speaker 1: Now. 448 00:27:48,440 --> 00:27:51,760 Speaker 11: Look, everyone thinks their generation is a big deal. I 449 00:27:51,760 --> 00:27:54,840 Speaker 11: didn't even know I was in Generation X until about 450 00:27:54,880 --> 00:27:57,639 Speaker 11: a year ago when I looked something up and it 451 00:27:57,680 --> 00:28:00,199 Speaker 11: was saying, you know, Generation X feels this way, and 452 00:28:00,240 --> 00:28:02,800 Speaker 11: I thought, well, that sounded like a bunch of stuff 453 00:28:02,880 --> 00:28:05,480 Speaker 11: you talked about watching these TV shows. 454 00:28:05,280 --> 00:28:07,399 Speaker 1: And I said, huh, is that what I'm in. 455 00:28:08,680 --> 00:28:11,119 Speaker 11: I never really when people get real into that stuff, 456 00:28:11,560 --> 00:28:14,080 Speaker 11: and I always thought that was dumb, But I do 457 00:28:14,119 --> 00:28:18,000 Speaker 11: think there's something to be said for your influences at 458 00:28:18,040 --> 00:28:21,960 Speaker 11: a certain point in life and your shared experiences. Like 459 00:28:22,880 --> 00:28:25,520 Speaker 11: we didn't have cell phones growing up, we didn't have 460 00:28:25,640 --> 00:28:27,119 Speaker 11: internet access. 461 00:28:27,560 --> 00:28:31,640 Speaker 1: I mean, I can remember it was. 462 00:28:32,119 --> 00:28:38,320 Speaker 11: It was a major issue when I was a kid 463 00:28:38,320 --> 00:28:42,120 Speaker 11: that mothers were concerned about that we were watching too 464 00:28:42,240 --> 00:28:46,040 Speaker 11: much TV. I mean, we were going to go blind 465 00:28:46,120 --> 00:28:47,920 Speaker 11: from one of two things we were doing, and I 466 00:28:47,960 --> 00:28:48,720 Speaker 11: was doing them both. 467 00:28:49,560 --> 00:28:52,200 Speaker 1: That's a wonder, I can see it all. But we 468 00:28:52,200 --> 00:28:55,120 Speaker 1: were sitting too close to the TV. Now you got 469 00:28:55,160 --> 00:28:56,840 Speaker 1: this thing right in front of. 470 00:28:56,760 --> 00:29:01,960 Speaker 11: You all day, got something in your ear. Uh, you 471 00:29:02,080 --> 00:29:04,960 Speaker 11: can't pry kids away from them. But they were worried 472 00:29:04,960 --> 00:29:07,840 Speaker 11: about the TV. We were watching a few hours of 473 00:29:07,920 --> 00:29:12,200 Speaker 11: TV a day. These kids today are are hooked on 474 00:29:12,240 --> 00:29:16,160 Speaker 11: the screen, and why wouldn't you be. It's entertaining, It's 475 00:29:16,680 --> 00:29:21,360 Speaker 11: so anyway, this is about Generation X and how we're 476 00:29:21,400 --> 00:29:24,840 Speaker 11: the last generation before technology and cell phones. 477 00:29:24,880 --> 00:29:26,680 Speaker 1: I thought this was very very interesting. 478 00:29:27,440 --> 00:29:29,840 Speaker 7: If we start writing in cursive and driving six speeds again, 479 00:29:29,920 --> 00:29:33,120 Speaker 7: we'll shut down your whole We were the last generation 480 00:29:33,240 --> 00:29:36,200 Speaker 7: before technology and cell phones. So when you can't get 481 00:29:36,240 --> 00:29:38,160 Speaker 7: on Wi fi, you start freaking out and your whole 482 00:29:38,160 --> 00:29:38,960 Speaker 7: world comes in. 483 00:29:39,200 --> 00:29:39,840 Speaker 1: Honey, all we. 484 00:29:39,800 --> 00:29:41,520 Speaker 7: Got to do is light the beacons and we write 485 00:29:41,560 --> 00:29:44,120 Speaker 7: it down. When you get a little cold, you run 486 00:29:44,160 --> 00:29:46,160 Speaker 7: off to the doctor to get your prescription. We'll make 487 00:29:46,240 --> 00:29:49,320 Speaker 7: us a houghty tidy, pop three iby profens and get done. 488 00:29:49,640 --> 00:29:52,200 Speaker 7: We only have patience for small children and the elderly, 489 00:29:52,240 --> 00:29:54,080 Speaker 7: so if you don't follow in between either of those two, 490 00:29:54,080 --> 00:29:58,040 Speaker 7: don't test our gangster. We learned to compartmentalize our emotions 491 00:29:58,080 --> 00:30:00,880 Speaker 7: because if we even cried a little bit, our parents, 492 00:30:00,920 --> 00:30:03,240 Speaker 7: after whooping our button making us cry, would tell us, 493 00:30:03,280 --> 00:30:06,240 Speaker 7: I'm gonna give you something to cry about. Our immune 494 00:30:06,240 --> 00:30:08,960 Speaker 7: system knows how to survive. We swim through every dirty 495 00:30:09,000 --> 00:30:12,080 Speaker 7: creek and ditch and pond that you can imagine. We 496 00:30:12,160 --> 00:30:14,719 Speaker 7: had parties out in the middle of the fields barefoot. 497 00:30:15,080 --> 00:30:17,200 Speaker 7: We rode down the interstate doing eighty miles an hour 498 00:30:17,240 --> 00:30:20,240 Speaker 7: in the back of the pickup trucks on Your generation 499 00:30:20,360 --> 00:30:21,680 Speaker 7: depends on a backup camera. 500 00:30:22,240 --> 00:30:25,040 Speaker 1: We lived outside. We were feral. We grew up in 501 00:30:25,040 --> 00:30:26,440 Speaker 1: the woods. We know how to survive. 502 00:30:26,480 --> 00:30:28,360 Speaker 7: We weren't allowed in the house until the street lights 503 00:30:28,400 --> 00:30:31,040 Speaker 7: come on because that's where the adults lived. You didn't 504 00:30:31,080 --> 00:30:32,920 Speaker 7: need a cell phone or GPS to find out where 505 00:30:32,960 --> 00:30:34,800 Speaker 7: your friends were. You just circleled the neighborhood and found 506 00:30:34,800 --> 00:30:36,840 Speaker 7: out where all the bikes were out up in utt 507 00:30:36,920 --> 00:30:40,120 Speaker 7: somebody's yard. We were the generation of mind your business, 508 00:30:40,200 --> 00:30:42,320 Speaker 7: but we were also raised in the generation of it 509 00:30:42,360 --> 00:30:44,400 Speaker 7: takes a village because you can bet your ass if 510 00:30:44,440 --> 00:30:46,000 Speaker 7: I was down the street out of eyesight of my 511 00:30:46,040 --> 00:30:48,160 Speaker 7: mom when I was doing something stupid, she damn sure 512 00:30:48,200 --> 00:30:51,200 Speaker 7: knew about it before I got home. You can't scare us, 513 00:30:51,240 --> 00:30:53,520 Speaker 7: you can't trick us, you can't control us, and most 514 00:30:53,560 --> 00:30:55,440 Speaker 7: of all, you can't punk us and back us into 515 00:30:55,520 --> 00:30:58,600 Speaker 7: a corner. We see straight through your bo We have 516 00:30:58,640 --> 00:31:01,360 Speaker 7: a real high pain tolerance because the majority of us 517 00:31:01,680 --> 00:31:06,480 Speaker 7: have been whooped with anything inside. I'm talking about extension cords, flyswater's, 518 00:31:06,520 --> 00:31:09,880 Speaker 7: flip flops, you know, a two by four, It don't matter. 519 00:31:09,960 --> 00:31:12,800 Speaker 7: Anything within hands reached was getting wasped inside your head 520 00:31:13,440 --> 00:31:15,040 Speaker 7: because we only got out of line by one or 521 00:31:15,040 --> 00:31:17,200 Speaker 7: two good times, because we learned real quick what that 522 00:31:17,280 --> 00:31:22,720 Speaker 7: mama look means, get show together, and if you acted 523 00:31:22,760 --> 00:31:23,840 Speaker 7: a fool out in public. 524 00:31:23,960 --> 00:31:25,760 Speaker 1: We weren't concerned about what anybody else. 525 00:31:25,800 --> 00:31:28,320 Speaker 7: So our parents didn't give, they would beat the hell 526 00:31:28,360 --> 00:31:31,400 Speaker 7: out of us in our three and dare somebody to 527 00:31:31,440 --> 00:31:33,600 Speaker 7: try to intervene. You take these kids home with you. 528 00:31:33,640 --> 00:31:35,520 Speaker 7: See if you ain't who when they asked by two o'clock. 529 00:31:36,680 --> 00:31:39,000 Speaker 7: So don't come for us. We'll hurt your feelings. We 530 00:31:39,080 --> 00:31:41,240 Speaker 7: got to go to work every day with Kate day drink. 531 00:31:44,400 --> 00:31:48,040 Speaker 11: It's true, though, it's absolutely true. All right, I'll leave 532 00:31:48,080 --> 00:31:50,000 Speaker 11: you with this last one. I think this is about 533 00:31:50,040 --> 00:31:51,800 Speaker 11: a year old, so I don't know if it's if 534 00:31:51,840 --> 00:31:53,880 Speaker 11: it's still true, and some of you may have heard 535 00:31:53,920 --> 00:31:57,800 Speaker 11: it at the time, but it's absolutely It will warp 536 00:31:57,880 --> 00:32:00,120 Speaker 11: your mind if you process what you're about. 537 00:31:59,960 --> 00:32:03,280 Speaker 1: To learn right now. This is wild. 538 00:32:04,080 --> 00:32:07,480 Speaker 6: The last living grandchild of John Tyler, who was the 539 00:32:07,600 --> 00:32:12,120 Speaker 6: tenth president, has just died. John Tyler, he was inaugurated 540 00:32:12,160 --> 00:32:17,320 Speaker 6: in eighteen forty one, and his last grandchild just died today. 541 00:32:18,120 --> 00:32:21,480 Speaker 6: John Tyler's last son was born in eighteen fifty three, 542 00:32:21,560 --> 00:32:23,920 Speaker 6: when John Tyler was sixty three years old, and then 543 00:32:23,960 --> 00:32:26,440 Speaker 6: he had his son in nineteen twenty eight when he 544 00:32:26,520 --> 00:32:30,520 Speaker 6: was seventy five years old, and that man died today. 545 00:32:30,560 --> 00:32:34,120 Speaker 6: In ninety five, the man who died today. His grandfather 546 00:32:35,080 --> 00:32:40,600 Speaker 6: was born in the seventeen hundreds. I mean good jeans, right, 547 00:32:41,800 --> 00:32:44,080 Speaker 6: good jeans and not having babies till you're in your seventies. 548 00:32:44,400 --> 00:32:45,040 Speaker 6: That's the secret. 549 00:32:53,680 --> 00:32:57,520 Speaker 1: Last nights, thank you, good night.