1 00:00:00,240 --> 00:00:05,960 Speaker 1: M Miss NBC has canceled Joyreid's show Win No why 2 00:00:06,559 --> 00:00:10,440 Speaker 1: Megan Kelly had Victor Davis Hanson on, But it's really 3 00:00:10,480 --> 00:00:15,560 Speaker 1: Megan's segment. She pulled the ratings right, so hey, it's 4 00:00:15,560 --> 00:00:19,520 Speaker 1: not that the quarterback got fired because he's black. It's 5 00:00:19,600 --> 00:00:23,640 Speaker 1: that the team is losing. Here are the actual numbers 6 00:00:23,640 --> 00:00:24,720 Speaker 1: for Joyreid's show. 7 00:00:25,040 --> 00:00:27,480 Speaker 2: We just pulled the ratings from Thursday Night. On Thursday Night, 8 00:00:27,560 --> 00:00:30,000 Speaker 2: this is in the twenty five to fifty four demo. 9 00:00:30,080 --> 00:00:32,879 Speaker 2: I mean, this is just unbelievable. Like truly, when I 10 00:00:32,920 --> 00:00:36,360 Speaker 2: was at Fox, We're a Bad Night in the demo 11 00:00:36,479 --> 00:00:39,760 Speaker 2: would be in the threes, three hundred change, but it 12 00:00:39,800 --> 00:00:42,680 Speaker 2: was often six hundred thousand, seven hundred thousand and. 13 00:00:42,760 --> 00:00:44,080 Speaker 3: Change in the demo. 14 00:00:44,840 --> 00:00:47,760 Speaker 2: Those are now the overall numbers, the total audience numbers 15 00:00:48,280 --> 00:00:52,479 Speaker 2: on a great number for most of cable news. Here's 16 00:00:52,520 --> 00:00:57,280 Speaker 2: her demo number from Thursday Night, fifty nine thousand. She 17 00:00:57,440 --> 00:00:59,640 Speaker 2: was a four thousand away from Slashies, which is but. 18 00:01:01,160 --> 00:01:01,400 Speaker 4: Well, No. 19 00:01:01,800 --> 00:01:05,400 Speaker 2: Nine thousand, which is fifty thousand, she was fifty nine thousand. 20 00:01:05,480 --> 00:01:08,240 Speaker 2: That's what she got in the overall demo. She lost 21 00:01:08,280 --> 00:01:11,160 Speaker 2: to her competitor on CNN who had one hundred and 22 00:01:11,200 --> 00:01:13,720 Speaker 2: four thousand lost to Laura Ingram who had three hundred 23 00:01:13,760 --> 00:01:17,800 Speaker 2: and eighty nine thousand, lost the whole ratings race inside 24 00:01:17,920 --> 00:01:23,040 Speaker 2: MSNBC where their great white hope Jensaki, who's taking over 25 00:01:23,440 --> 00:01:26,720 Speaker 2: now at nine. This is all part of a reshuffling. 26 00:01:27,920 --> 00:01:31,320 Speaker 2: She got sixty five thousand in the key demo. Sixty 27 00:01:31,360 --> 00:01:35,640 Speaker 2: five that's okay, that's their future. Rachel Maddow, she's their 28 00:01:35,640 --> 00:01:38,800 Speaker 2: big star. For thirty million dollars a year. All you 29 00:01:38,840 --> 00:01:41,959 Speaker 2: have to pull is one hundred and forty four thousand 30 00:01:42,240 --> 00:01:45,360 Speaker 2: in the demo, which I think is what we got. 31 00:01:46,120 --> 00:01:48,880 Speaker 2: I don't even I mean, like maybe overnight at three 32 00:01:48,920 --> 00:01:53,680 Speaker 2: AM during a weekend program lineup at Fox. One hundred 33 00:01:53,720 --> 00:01:56,240 Speaker 2: and forty four thousand now earns you thirty million dollars 34 00:01:56,240 --> 00:02:00,840 Speaker 2: a year on MSNBC. And then the next lowest well 35 00:02:00,880 --> 00:02:04,920 Speaker 2: after Read and Sake was Stephanie Ruhle with eighty eight thousand. 36 00:02:04,960 --> 00:02:06,920 Speaker 2: Laurence o'donald got one hundred and three six thousand. These 37 00:02:06,960 --> 00:02:10,720 Speaker 2: are all terrible, terrible, terrible numbers. And that's one of 38 00:02:10,760 --> 00:02:12,160 Speaker 2: the many reasons Joy Reader is out. 39 00:02:15,360 --> 00:02:19,480 Speaker 1: You know, Look, this is why you measure things because 40 00:02:19,520 --> 00:02:24,280 Speaker 1: those ratings reflect dollars. Wins and losses affect how many 41 00:02:24,280 --> 00:02:26,760 Speaker 1: people buy tickets to the and sit on and watch 42 00:02:26,800 --> 00:02:30,600 Speaker 1: the game, and how much advertisers want those people. This 43 00:02:30,680 --> 00:02:33,280 Speaker 1: is why people don't want to be measured, because they 44 00:02:33,280 --> 00:02:33,919 Speaker 1: come up short. 45 00:02:35,960 --> 00:02:38,560 Speaker 5: Poor Joy. 46 00:02:38,639 --> 00:02:41,200 Speaker 1: There's something about her black tears. 47 00:02:41,200 --> 00:02:46,720 Speaker 6: To use her term, there's a thing about both white 48 00:02:46,800 --> 00:02:54,040 Speaker 6: vigilantism and white tears, particularly male white tears, really white 49 00:02:54,040 --> 00:02:57,200 Speaker 6: tears in general, because that's what caarts are, right, they 50 00:02:57,280 --> 00:03:02,480 Speaker 6: care now And Thennesouza get cause freed the waterworks. White 51 00:03:02,480 --> 00:03:04,520 Speaker 6: men can get away with that too, and it has 52 00:03:04,560 --> 00:03:05,320 Speaker 6: the same effect. 53 00:03:07,480 --> 00:03:12,680 Speaker 1: And so when Joy Reid posted her video of her tears, 54 00:03:12,720 --> 00:03:14,720 Speaker 1: which I guess if white people have white tears, hers 55 00:03:14,720 --> 00:03:15,640 Speaker 1: are black tears. 56 00:03:17,320 --> 00:03:18,160 Speaker 5: Boy was that fun. 57 00:03:18,520 --> 00:03:22,040 Speaker 1: Here was her last video addressing the cancelation of her show. 58 00:03:22,280 --> 00:03:24,320 Speaker 1: I think there might be some black tears. 59 00:03:24,960 --> 00:03:28,680 Speaker 6: My show had value, and that. 60 00:03:29,200 --> 00:03:30,480 Speaker 4: My show had value. 61 00:03:30,919 --> 00:03:36,080 Speaker 7: I am somebody, tell them, I am somebody, tell them, 62 00:03:36,080 --> 00:03:39,240 Speaker 7: I am somebody, just value And in the end, I'm 63 00:03:39,440 --> 00:03:39,680 Speaker 7: I'm not. 64 00:03:39,720 --> 00:03:41,520 Speaker 6: I try not to cry on TV, and I think 65 00:03:41,520 --> 00:03:42,080 Speaker 6: this is kind. 66 00:03:41,920 --> 00:03:42,520 Speaker 8: Of like me on TV. 67 00:03:43,160 --> 00:03:45,880 Speaker 7: I am somebody And then and then it kind of 68 00:03:45,920 --> 00:03:49,000 Speaker 7: and then it mattered. I see karenbod is there and 69 00:03:49,040 --> 00:03:50,960 Speaker 7: she's been texting me as well, and so what I 70 00:03:50,960 --> 00:03:54,960 Speaker 7: will just say, you came in the end, thank you. 71 00:03:57,160 --> 00:04:01,040 Speaker 7: Where I land is that the moment that I've of guilt, 72 00:04:01,080 --> 00:04:04,280 Speaker 7: that I felt that I went hard on so many issues, 73 00:04:04,320 --> 00:04:08,480 Speaker 7: whether it was the black lives matter of a young 74 00:04:08,800 --> 00:04:13,440 Speaker 7: baby or a mom or dad that was killed when 75 00:04:13,480 --> 00:04:16,159 Speaker 7: we opened up people's eyes to the fact that Asian 76 00:04:16,200 --> 00:04:20,280 Speaker 7: Americans were being targeted, not just black folks, or it 77 00:04:20,320 --> 00:04:23,080 Speaker 7: went hard for immigrants who all things but come to 78 00:04:23,120 --> 00:04:25,720 Speaker 7: this country like my parents did and try to make 79 00:04:25,760 --> 00:04:30,359 Speaker 7: a life and defended them, or whether we've talked about it. 80 00:04:30,480 --> 00:04:32,520 Speaker 4: You shall had value. 81 00:04:32,800 --> 00:04:36,520 Speaker 1: You don't worry about You shall had value. 82 00:04:37,600 --> 00:04:40,920 Speaker 9: People need to make informed decisions, and you're giving them 83 00:04:40,920 --> 00:04:42,760 Speaker 9: the inso, Michael. 84 00:04:42,560 --> 00:04:46,560 Speaker 10: Arry, because you're a public Paul Revere kind of ringing 85 00:04:46,600 --> 00:04:47,280 Speaker 10: the warning. 86 00:04:47,080 --> 00:04:52,760 Speaker 1: Though, Ramon, I've I'm increasingly of the opinion that there 87 00:04:52,760 --> 00:04:56,520 Speaker 1: are very clever opinions being voiced out there that deserve 88 00:04:56,600 --> 00:04:59,680 Speaker 1: to be amplified that are not famous people, and we're 89 00:04:59,680 --> 00:05:02,440 Speaker 1: going to do more of that. You don't need to 90 00:05:02,440 --> 00:05:04,760 Speaker 1: have a name or a title to have a great opinion. 91 00:05:05,960 --> 00:05:09,000 Speaker 1: I came across this guy, this woman sorry, who is 92 00:05:09,040 --> 00:05:15,000 Speaker 1: a former federal worker, and she shares her opinion on 93 00:05:15,560 --> 00:05:19,800 Speaker 1: federal workers and what kind of people it is that 94 00:05:19,920 --> 00:05:23,640 Speaker 1: Trump and Elon are laying off, and it's not a 95 00:05:23,720 --> 00:05:26,760 Speaker 1: very pretty picture. Just give this a listen. 96 00:05:26,920 --> 00:05:29,400 Speaker 8: I used to be a federal employee, and I'm going 97 00:05:29,480 --> 00:05:32,440 Speaker 8: to tell you why I don't feel bad for federal 98 00:05:32,440 --> 00:05:37,279 Speaker 8: employees being forced to come back into the workplace. I 99 00:05:37,320 --> 00:05:39,760 Speaker 8: worked for the Army Corps of Engineers for almost a year, 100 00:05:40,360 --> 00:05:45,240 Speaker 8: and the abuses that I saw by government employees was 101 00:05:45,360 --> 00:05:51,920 Speaker 8: astounding and shocking. I worked as a realty specialist, and 102 00:05:51,960 --> 00:05:56,360 Speaker 8: that is someone who manages government on lands, so when 103 00:05:56,440 --> 00:06:01,680 Speaker 8: farmers and ranchers LEAs land to grace, we would manage that. 104 00:06:03,600 --> 00:06:05,880 Speaker 8: When I was hired, my boss bragged that it was 105 00:06:05,920 --> 00:06:09,360 Speaker 8: basically impossible to get fired from the federal government and 106 00:06:09,400 --> 00:06:12,039 Speaker 8: that in her entire time working for the government, she'd 107 00:06:12,040 --> 00:06:16,599 Speaker 8: only seen one person fired, and that person assaulted a 108 00:06:16,640 --> 00:06:20,440 Speaker 8: fellow employee. And she wasn't even fired for assaulting the 109 00:06:20,480 --> 00:06:23,520 Speaker 8: employee at work. She was fired for lying about it 110 00:06:23,520 --> 00:06:29,320 Speaker 8: because they caught it on camera. When I worked for 111 00:06:29,360 --> 00:06:32,520 Speaker 8: the government, we were allowed to work fifty percent in 112 00:06:32,600 --> 00:06:35,880 Speaker 8: the office and fifty percent from home for the most part. 113 00:06:37,520 --> 00:06:40,080 Speaker 8: In some cases, if you'd work there, like I think 114 00:06:40,120 --> 00:06:42,640 Speaker 8: over ten years or something, you could actually work from 115 00:06:42,680 --> 00:06:45,000 Speaker 8: home three days a week work from the office two 116 00:06:45,040 --> 00:06:51,000 Speaker 8: days a week. I use the word work very loosely. 117 00:06:52,160 --> 00:06:58,000 Speaker 8: One employee spent his time remote working running his own farm. 118 00:06:59,000 --> 00:07:03,560 Speaker 8: Another employee bragged about this work, driving and going out 119 00:07:03,600 --> 00:07:06,000 Speaker 8: to lunch with her friends for Margarita's When she was 120 00:07:06,000 --> 00:07:10,160 Speaker 8: supposed to be remote working. No one would log into 121 00:07:10,200 --> 00:07:12,040 Speaker 8: their computers and you can see it because they're not 122 00:07:12,080 --> 00:07:18,800 Speaker 8: on teens and no one ever checked. Ever. There's something 123 00:07:18,840 --> 00:07:23,000 Speaker 8: called the eighty twenty year roll, where eighty percent of 124 00:07:23,040 --> 00:07:25,440 Speaker 8: the work in government is done by twenty percent of 125 00:07:25,480 --> 00:07:29,400 Speaker 8: the people. And this is very very true. People who 126 00:07:29,400 --> 00:07:31,800 Speaker 8: get a job in the government a lot of times 127 00:07:31,840 --> 00:07:34,160 Speaker 8: find out that it's very difficult to fire them, and 128 00:07:34,200 --> 00:07:38,120 Speaker 8: they take advantage of this. One employee would come into 129 00:07:38,160 --> 00:07:40,880 Speaker 8: the office. His start time would be six thirty, and 130 00:07:40,920 --> 00:07:43,280 Speaker 8: he knew nobody would be there. And when I came 131 00:07:43,320 --> 00:07:45,119 Speaker 8: in at seven thirty and I was the next person 132 00:07:45,120 --> 00:07:49,000 Speaker 8: to come in, he was snoring at his desk every 133 00:07:49,040 --> 00:07:57,480 Speaker 8: single morning. Another employee would take the government truck on 134 00:07:57,520 --> 00:08:00,840 Speaker 8: an almost daily basis so that he could go out 135 00:08:00,840 --> 00:08:03,680 Speaker 8: to lunch and then go and take a nap in 136 00:08:03,760 --> 00:08:07,160 Speaker 8: his favorite part under a shady tree in the government truck. 137 00:08:08,400 --> 00:08:10,240 Speaker 8: One of the very first things I did when I 138 00:08:10,280 --> 00:08:13,840 Speaker 8: started working for the CORE, I spent three months cleaning 139 00:08:13,920 --> 00:08:16,840 Speaker 8: up their real estate files room, which was a disaster. 140 00:08:17,720 --> 00:08:21,400 Speaker 8: The government is using an antiquated system that was developed 141 00:08:21,440 --> 00:08:25,080 Speaker 8: sometime in the nineties and using regulations that haven't been 142 00:08:25,160 --> 00:08:29,920 Speaker 8: updated since the nineties to manage our dams and our 143 00:08:30,000 --> 00:08:38,160 Speaker 8: government lands. Our government is filled with the most incompetent 144 00:08:38,320 --> 00:08:43,000 Speaker 8: and most lazy people and an occasional hard worker, and 145 00:08:43,040 --> 00:08:47,120 Speaker 8: those hard workers are severely punished every time they outwork 146 00:08:47,160 --> 00:08:51,000 Speaker 8: their colleagues, because then the colleagues realize people will see 147 00:08:51,040 --> 00:08:53,280 Speaker 8: that they're lazy, and they don't want to have to 148 00:08:53,320 --> 00:08:57,320 Speaker 8: work more. They're just buying time until they retire in 149 00:08:57,320 --> 00:09:01,800 Speaker 8: almost every case. My point is some of our government 150 00:09:01,920 --> 00:09:07,520 Speaker 8: organizations haven't been maintained or updated in so long that 151 00:09:07,600 --> 00:09:10,120 Speaker 8: you basically need to create a new organization and start 152 00:09:10,160 --> 00:09:15,040 Speaker 8: from scratch, because there's almost no way to transfer it over, 153 00:09:15,640 --> 00:09:17,679 Speaker 8: and there's so much red taped in between, it'll never 154 00:09:17,679 --> 00:09:24,839 Speaker 8: get done. But I know that our government is inefficient 155 00:09:25,000 --> 00:09:27,120 Speaker 8: because the people working for it are not doing what 156 00:09:27,160 --> 00:09:28,880 Speaker 8: they need to do to take care of the rest 157 00:09:28,880 --> 00:09:33,600 Speaker 8: of us. So no, I don't think government employees should 158 00:09:33,600 --> 00:09:35,920 Speaker 8: get the benefit of working from home. If our government 159 00:09:36,040 --> 00:09:39,280 Speaker 8: is not working for us, we shouldn't have to take 160 00:09:39,440 --> 00:09:43,920 Speaker 8: years to do anything in a technological age, they choose 161 00:09:44,200 --> 00:09:45,040 Speaker 8: to take that long. 162 00:09:46,040 --> 00:09:50,280 Speaker 11: That's a choice. So they can choose to do things faster, 163 00:09:50,400 --> 00:09:53,120 Speaker 11: more efficiently, and then they can choose to get remote 164 00:09:53,160 --> 00:09:56,080 Speaker 11: work back. I don't feel bad for them at all. 165 00:09:58,640 --> 00:10:01,319 Speaker 1: There you have it. People who've left the government will 166 00:10:01,360 --> 00:10:05,640 Speaker 1: tell you what the government is like. And the good workers, oh, 167 00:10:05,679 --> 00:10:08,800 Speaker 1: they're suppressed. They they're not. Just like in the schools, 168 00:10:09,559 --> 00:10:14,560 Speaker 1: the good teachers, they don't promote them, they don't give 169 00:10:14,800 --> 00:10:17,760 Speaker 1: they end up leaving. It's amazing how many good teachers 170 00:10:17,920 --> 00:10:22,320 Speaker 1: leave the public education system because the kind of people 171 00:10:22,360 --> 00:10:25,079 Speaker 1: who survived there and control it are the worst to 172 00:10:25,160 --> 00:10:30,679 Speaker 1: the worst. Sadly, and this is why nobody cares that 173 00:10:30,800 --> 00:10:34,800 Speaker 1: Doze is going in and eliminating people. Nobody feels sorry 174 00:10:34,840 --> 00:10:38,280 Speaker 1: for those people. We're glad to see them go. Karen 175 00:10:38,320 --> 00:10:41,040 Speaker 1: Finney is a former Hillary Clinton campaign advisor. This was 176 00:10:41,080 --> 00:10:44,280 Speaker 1: a few days ago, and she asked Scott Jennings if 177 00:10:44,280 --> 00:10:47,360 Speaker 1: he would still support dose if somebody died. 178 00:10:48,840 --> 00:10:51,480 Speaker 10: I actually think it's okay if they run into a 179 00:10:51,600 --> 00:10:54,600 Speaker 10: stumble here or there. Because the project is so massive, 180 00:10:55,120 --> 00:10:57,880 Speaker 10: the need to cut is so massive, the government is 181 00:10:57,920 --> 00:11:00,800 Speaker 10: so massive, it's inconceivable that you would make a mistake 182 00:11:00,840 --> 00:11:03,280 Speaker 10: here or there. But I think that's acceptable if the 183 00:11:03,320 --> 00:11:05,960 Speaker 10: greater goal is achieved, which is a smaller government, more 184 00:11:05,960 --> 00:11:06,720 Speaker 10: efficient government. 185 00:11:06,800 --> 00:11:09,880 Speaker 12: If someone, even if someone is someone dies, or even 186 00:11:09,880 --> 00:11:13,280 Speaker 12: if someone because someone has died from I don't we 187 00:11:13,360 --> 00:11:15,720 Speaker 12: don't know. I'm talking about when the rubber meets the road. 188 00:11:15,720 --> 00:11:19,160 Speaker 12: I'm talking about for example, Kansas City, thirty thousand government 189 00:11:19,160 --> 00:11:22,679 Speaker 12: employees might be laid off. It will destroy the economy 190 00:11:22,720 --> 00:11:24,840 Speaker 12: of Kansas City. That's okay. 191 00:11:25,040 --> 00:11:26,160 Speaker 10: Why I say. 192 00:11:25,920 --> 00:11:30,200 Speaker 12: That, I'm going to die to die, I've been saying 193 00:11:30,200 --> 00:11:30,880 Speaker 12: that they're very good. 194 00:11:31,000 --> 00:11:32,199 Speaker 4: What do you think they're going to say when they're 195 00:11:32,200 --> 00:11:32,760 Speaker 4: going to get wet. 196 00:11:32,760 --> 00:11:34,560 Speaker 12: Of course they're going to say that. But my point is, 197 00:11:34,600 --> 00:11:35,640 Speaker 12: do we think that's smart? 198 00:11:36,640 --> 00:11:40,920 Speaker 1: Yeah? Six thirty three Ramone. The mind of a liberal 199 00:11:41,280 --> 00:11:45,719 Speaker 1: is amusing. It is the subject of humor to me. 200 00:11:47,360 --> 00:11:49,880 Speaker 9: I don't want Elon Musk having my SOBS security number, 201 00:11:49,920 --> 00:11:51,800 Speaker 9: but I'll give it to the irs and my job, 202 00:11:51,880 --> 00:11:54,880 Speaker 9: and the bank and the hospitals and the university and colleges, 203 00:11:54,960 --> 00:11:58,280 Speaker 9: the mortgage companies, the insurance companies, the credit card companies, 204 00:11:58,320 --> 00:12:01,520 Speaker 9: the financial advisors, and the car dealership. I'd rather them 205 00:12:01,559 --> 00:12:03,880 Speaker 9: have it because I know that they're definitely prone to 206 00:12:03,960 --> 00:12:07,280 Speaker 9: data breaches every single year. The mind of a liberal 207 00:12:07,440 --> 00:12:08,240 Speaker 9: is so amusing. 208 00:12:08,520 --> 00:12:10,880 Speaker 1: The government made money off of it. We didn't get 209 00:12:10,920 --> 00:12:13,480 Speaker 1: nothing the hard time the Michael Arry Show. 210 00:12:13,760 --> 00:12:15,840 Speaker 4: It's a damn shame. It's a damn shame. 211 00:12:15,920 --> 00:12:16,920 Speaker 5: It's a damn shame. 212 00:12:17,040 --> 00:12:18,079 Speaker 13: It's a damn shame. 213 00:12:19,400 --> 00:12:21,920 Speaker 1: You know, I'm not a guy. Producer Kenny, who's we've 214 00:12:21,920 --> 00:12:24,440 Speaker 1: worked with over the years, loves to go out and 215 00:12:24,440 --> 00:12:26,680 Speaker 1: put a microphone in the in the face of crazy 216 00:12:26,720 --> 00:12:30,000 Speaker 1: protesters and stuff. That's never been my thing. Producer Kenny's 217 00:12:30,080 --> 00:12:33,400 Speaker 1: very good at it. Owen Schroyer is pretty good as well, 218 00:12:34,080 --> 00:12:36,120 Speaker 1: and he made a montage. And this is just for 219 00:12:36,200 --> 00:12:40,680 Speaker 1: your enjoyment. Now, remember you cannot let these people upset you. 220 00:12:40,679 --> 00:12:43,360 Speaker 1: You have to remember to laugh at them and to 221 00:12:43,640 --> 00:12:46,800 Speaker 1: enjoy it with that in mind. Here is till the 222 00:12:46,920 --> 00:12:52,480 Speaker 1: end of the break, wacky anti Trump protesters being upset. 223 00:12:52,600 --> 00:12:56,640 Speaker 1: This gives me so much joy. I drink up their 224 00:12:56,720 --> 00:12:58,480 Speaker 1: tears and I love it. 225 00:12:58,559 --> 00:13:02,560 Speaker 4: What rights is Trump denying you? Oh well, let me 226 00:13:02,679 --> 00:13:04,480 Speaker 4: talk about my uterus first. 227 00:13:05,600 --> 00:13:08,360 Speaker 11: I don't have access to appropriate medical care. 228 00:13:08,400 --> 00:13:10,199 Speaker 4: So if I'm out abortion, let's just say what it is. 229 00:13:10,240 --> 00:13:12,400 Speaker 4: It's abortion. So what right is abortion? Where do you 230 00:13:12,440 --> 00:13:13,120 Speaker 4: have a right to abortion? 231 00:13:13,679 --> 00:13:23,280 Speaker 8: This guy, the one that those kids, he died abortion? 232 00:13:24,160 --> 00:13:25,959 Speaker 5: Where do you publish? 233 00:13:26,000 --> 00:13:28,360 Speaker 4: I publish all over the place, all over the internet. 234 00:13:28,360 --> 00:13:29,400 Speaker 5: Where can we look for this? 235 00:13:30,280 --> 00:13:33,520 Speaker 14: You can look for this on x elon musk platform. 236 00:13:33,559 --> 00:13:35,000 Speaker 14: I'm sure you have an X account. 237 00:13:35,160 --> 00:13:36,040 Speaker 4: I don't look at X. 238 00:13:36,679 --> 00:13:39,240 Speaker 9: I quit X when that bought it because it's like 239 00:13:39,280 --> 00:13:40,400 Speaker 9: a Nazi platform. 240 00:13:40,800 --> 00:13:42,800 Speaker 4: It's a Nazi platform. Yeah, yeah, it certainly is. You 241 00:13:42,840 --> 00:13:43,640 Speaker 4: should check it out. 242 00:13:44,240 --> 00:13:44,480 Speaker 15: I don't. 243 00:13:44,480 --> 00:13:45,880 Speaker 4: I don't know that. I don't know how it's a 244 00:13:45,960 --> 00:13:48,320 Speaker 4: Nazi platform. I'll tell you how. You haven't. Have you 245 00:13:48,400 --> 00:13:50,200 Speaker 4: not been on there? I'm on there all the time. 246 00:13:50,480 --> 00:13:53,440 Speaker 4: Then you must know you must not pay very close. 247 00:13:53,840 --> 00:13:57,640 Speaker 4: What makes it nazi? Read it? Read it friendly? I 248 00:13:58,040 --> 00:13:59,520 Speaker 4: do read I read it for news I just get 249 00:13:59,559 --> 00:14:02,760 Speaker 4: news there like I knew this protest place you get news. 250 00:14:03,040 --> 00:14:04,000 Speaker 4: I get news from everywhere. 251 00:14:04,000 --> 00:14:09,120 Speaker 14: Actually tell us very right, I mean literally everywhere, Fox, CNN, MSNBC. 252 00:14:10,760 --> 00:14:13,439 Speaker 4: I'm new, have I I've not been doing this very long. No, 253 00:14:14,160 --> 00:14:15,000 Speaker 4: So inform me. 254 00:14:16,080 --> 00:14:19,240 Speaker 11: Just the fact that you don't realize that. 255 00:14:20,080 --> 00:14:22,560 Speaker 1: The pro Nazi platform and right wing So how. 256 00:14:22,480 --> 00:14:23,280 Speaker 4: Is it pro nazi? 257 00:14:24,520 --> 00:14:24,960 Speaker 16: Read it? 258 00:14:25,240 --> 00:14:27,120 Speaker 4: Read it? When you keep saying read it, but what 259 00:14:27,160 --> 00:14:27,960 Speaker 4: does that mean. 260 00:14:30,240 --> 00:14:30,520 Speaker 13: Nazi? 261 00:14:30,640 --> 00:14:34,760 Speaker 14: You know Elon Musk has like five Jewish children, It's great, 262 00:14:35,360 --> 00:14:37,160 Speaker 14: So how is he a Nazi with Jewish children? 263 00:14:38,480 --> 00:14:41,800 Speaker 4: You got to do your homework? He knows what what homework? 264 00:14:41,840 --> 00:14:43,960 Speaker 4: What have I not known? He doesn't What do you 265 00:14:44,080 --> 00:14:46,160 Speaker 4: not know? He doesn't care about who. 266 00:14:46,080 --> 00:14:48,760 Speaker 5: His children, his Jewish children, He didn't care about that. 267 00:14:48,920 --> 00:14:50,560 Speaker 4: He doesn't care about them. He just takes care of 268 00:14:50,640 --> 00:14:52,000 Speaker 4: him and hangs out with him and sees him. 269 00:14:52,040 --> 00:14:53,840 Speaker 5: He doesn't even hang out with him. You know half 270 00:14:53,840 --> 00:14:55,760 Speaker 5: of these is that one for a human shield? 271 00:14:55,920 --> 00:14:56,120 Speaker 8: Yeah? 272 00:14:56,360 --> 00:14:58,920 Speaker 5: Exactly? Okay, And he also has a trans daughter. 273 00:14:58,760 --> 00:15:00,600 Speaker 4: So when did you start hating Musk? 274 00:15:00,640 --> 00:15:03,000 Speaker 5: He has a trans daughter and he didn't recognize he 275 00:15:03,040 --> 00:15:05,920 Speaker 5: got into the treasury and had his minions hacked? 276 00:15:06,600 --> 00:15:08,760 Speaker 4: Are what's been hacked? 277 00:15:10,040 --> 00:15:11,600 Speaker 5: The treasury man? 278 00:15:11,880 --> 00:15:15,520 Speaker 4: Okay, they must have no, no, nothing has been hacked. 279 00:15:15,640 --> 00:15:16,560 Speaker 4: Nothing has been hacked. 280 00:15:17,640 --> 00:15:18,640 Speaker 6: Tell us more about that. 281 00:15:18,960 --> 00:15:21,080 Speaker 4: Okay, would you like me to tell you? 282 00:15:21,080 --> 00:15:24,480 Speaker 14: So the Department of Government Efficiency is going into all 283 00:15:24,600 --> 00:15:26,800 Speaker 14: the different funding data. They're going into all of it, 284 00:15:27,120 --> 00:15:29,560 Speaker 14: and they're finding hundreds of billions of fraud is what 285 00:15:29,600 --> 00:15:30,080 Speaker 14: they're finding. 286 00:15:30,080 --> 00:15:32,760 Speaker 4: The found they found no fraud, No fraud. So how 287 00:15:32,880 --> 00:15:35,680 Speaker 4: so how old? What's the average age for somebody to live? 288 00:15:35,800 --> 00:15:37,800 Speaker 5: Well, you're talking about one hundred and fifty years. 289 00:15:37,960 --> 00:15:39,440 Speaker 4: How do you even know about the fraud? 290 00:15:39,880 --> 00:15:41,640 Speaker 5: That's not fraud, dude. 291 00:15:41,400 --> 00:15:43,760 Speaker 14: So paying somebody that's one hundred and fifty years old 292 00:15:43,760 --> 00:15:45,280 Speaker 14: social Security isn't fraud. 293 00:15:45,440 --> 00:15:47,760 Speaker 5: You know, Well they're not. You know, they're paying it. 294 00:15:47,880 --> 00:15:51,360 Speaker 4: Because they're in the system. So what dose is doing 295 00:15:51,440 --> 00:15:54,920 Speaker 4: is fine, but release the actual data. 296 00:15:55,200 --> 00:15:58,960 Speaker 14: It is every day there's literally a website. 297 00:15:59,000 --> 00:16:03,080 Speaker 4: It's there's literally a dote line. You show me the 298 00:16:03,080 --> 00:16:06,080 Speaker 4: they are releasing the contracts. They literally show the contracts. 299 00:16:06,080 --> 00:16:07,720 Speaker 1: He's saying, we found him, and they don't show any 300 00:16:07,720 --> 00:16:13,040 Speaker 1: other more reality television show and show the actual proof line. 301 00:16:13,520 --> 00:16:14,560 Speaker 4: What's happening? Every day. 302 00:16:14,640 --> 00:16:18,280 Speaker 14: Yeah, let's see, here's your data on social security, my dad, 303 00:16:18,400 --> 00:16:22,400 Speaker 14: here's here's a thousand of a thousand people above age twenty. 304 00:16:22,640 --> 00:16:24,680 Speaker 4: Proof that's just a bunch of numbers. 305 00:16:24,680 --> 00:16:27,960 Speaker 14: This is literally the social security data sheet. This is 306 00:16:28,000 --> 00:16:30,560 Speaker 14: literally the social security data sheet. We're paying over one 307 00:16:30,600 --> 00:16:33,880 Speaker 14: thousand people over age two hundred and twenty social security. 308 00:16:34,040 --> 00:16:37,800 Speaker 4: So do you know anybody over two hundred years old? Sir? 309 00:16:37,920 --> 00:16:38,960 Speaker 5: Oh, no, that's not true. 310 00:16:39,040 --> 00:16:41,960 Speaker 4: Though, it's not true. See that's what it is. It's 311 00:16:42,000 --> 00:16:46,000 Speaker 4: just not true. Oh, what's wrong with Project twenty twenty five? 312 00:16:46,240 --> 00:16:46,840 Speaker 17: Everything? 313 00:16:47,080 --> 00:16:47,920 Speaker 4: Can you name one thing? 314 00:16:48,840 --> 00:16:49,040 Speaker 7: Yes? 315 00:16:49,600 --> 00:16:54,640 Speaker 4: For starters, the anti rit state of stamps? Who's anti immigrant? 316 00:16:56,120 --> 00:16:56,400 Speaker 13: Pump? 317 00:16:58,520 --> 00:17:03,840 Speaker 4: Wait? How is Trump anti immigrant? What are you doing 318 00:17:03,840 --> 00:17:19,600 Speaker 4: out here? Why does he hate that vote? That's your dad? No? 319 00:17:20,200 --> 00:17:20,680 Speaker 5: Are you sure? 320 00:17:20,720 --> 00:17:23,560 Speaker 4: Because it looks like their litter? Okay, well it's not. 321 00:17:25,920 --> 00:17:26,240 Speaker 16: What it? 322 00:17:26,880 --> 00:17:27,080 Speaker 17: No? 323 00:17:27,480 --> 00:17:27,720 Speaker 5: Sure? 324 00:17:28,600 --> 00:17:30,879 Speaker 4: Come on, man, so you just littered on? 325 00:17:31,800 --> 00:17:32,080 Speaker 16: Sure you? 326 00:17:33,600 --> 00:17:36,720 Speaker 4: What about Musk? What don't you like about Musk? He's 327 00:17:36,760 --> 00:17:41,399 Speaker 4: also a sug and he's he's not an elected So 328 00:17:41,560 --> 00:17:44,040 Speaker 4: what about all the people that aren't elected? There? Should 329 00:17:44,040 --> 00:17:45,520 Speaker 4: we get rid of anybody who's not elected? 330 00:17:45,560 --> 00:17:45,760 Speaker 16: Word? 331 00:17:47,400 --> 00:17:48,040 Speaker 4: What you don't like? 332 00:17:48,040 --> 00:17:51,119 Speaker 1: Trump. 333 00:17:51,480 --> 00:17:54,440 Speaker 14: Well, he's uh president, that's maybe the greatest president in 334 00:17:54,480 --> 00:17:55,560 Speaker 14: modern American history. 335 00:17:56,640 --> 00:18:01,119 Speaker 4: I do. Yeah, I'm sorry. Why are you sorry? 336 00:18:01,320 --> 00:18:04,440 Speaker 5: I'm shiny for you? Why because you're deluded? 337 00:18:05,080 --> 00:18:07,480 Speaker 4: How am I to know that? 338 00:18:08,880 --> 00:18:08,920 Speaker 11: No? 339 00:18:09,280 --> 00:18:11,160 Speaker 4: I don't want an awful person for president? 340 00:18:11,160 --> 00:18:13,640 Speaker 3: Anybody else need an awful person for president? 341 00:18:13,960 --> 00:18:16,919 Speaker 4: So what's off. 342 00:18:16,280 --> 00:18:19,720 Speaker 13: Someone that's rude and nasty and has no redeeming qualities? 343 00:18:19,880 --> 00:18:20,760 Speaker 4: Only anybody? 344 00:18:22,680 --> 00:18:22,760 Speaker 16: You? 345 00:18:22,880 --> 00:18:25,360 Speaker 4: Only Rosie o'donald? Who's racist? 346 00:18:29,480 --> 00:18:30,159 Speaker 16: Ignore that? 347 00:18:31,280 --> 00:18:38,720 Speaker 4: Who do you think is racist? Why? 348 00:18:38,800 --> 00:18:39,000 Speaker 13: Yeah? 349 00:18:39,000 --> 00:18:44,919 Speaker 4: Well what makes him racist? What has he done with racist? 350 00:18:47,960 --> 00:18:49,560 Speaker 4: Can you tell me what you don't like about dose? 351 00:18:53,119 --> 00:18:53,320 Speaker 15: Yeah? 352 00:18:53,359 --> 00:18:55,320 Speaker 4: Yeah, you can do better that. There you go, get 353 00:18:55,320 --> 00:18:55,679 Speaker 4: a good one. 354 00:18:56,000 --> 00:18:57,760 Speaker 16: There you go, There you go. 355 00:18:58,080 --> 00:18:58,760 Speaker 4: That's much better. 356 00:19:05,240 --> 00:19:12,200 Speaker 14: You can't ignore me. It's impossible to ignore me. I So, 357 00:19:12,200 --> 00:19:15,879 Speaker 14: so this is what happens in colts. Actually you have 358 00:19:16,119 --> 00:19:18,080 Speaker 14: you have people that tell you who you can and 359 00:19:18,119 --> 00:19:21,080 Speaker 14: can't talk to, and they'll try to stop you from 360 00:19:21,080 --> 00:19:22,919 Speaker 14: talking to somebody that has a different idea. 361 00:19:24,240 --> 00:19:26,320 Speaker 4: Yeah. 362 00:19:27,000 --> 00:19:29,800 Speaker 14: I will have a very unifying message everybody else. 363 00:19:30,720 --> 00:19:32,080 Speaker 4: That's why I hope that she would give me the 364 00:19:32,119 --> 00:19:32,440 Speaker 4: make one. 365 00:19:32,520 --> 00:19:38,080 Speaker 14: I promise my message will be very unified. Hold on 366 00:19:38,119 --> 00:19:43,439 Speaker 14: a second, hold on a Secondly, I've had people begging 367 00:19:43,520 --> 00:19:45,560 Speaker 14: cow bells that here for the last hour. 368 00:19:47,520 --> 00:19:50,639 Speaker 6: Everybody, you can't wine. 369 00:19:51,119 --> 00:19:52,600 Speaker 4: I asked that you wait in line. 370 00:19:53,200 --> 00:19:55,680 Speaker 14: You give what it's like to deal with discrimination and hate, 371 00:19:56,200 --> 00:19:57,400 Speaker 14: be a conservative at. 372 00:19:57,320 --> 00:20:14,359 Speaker 13: A Let's get down to business. Did they said us. 373 00:20:15,840 --> 00:20:17,639 Speaker 4: When we asked what. 374 00:20:31,280 --> 00:20:40,160 Speaker 16: Okaya okay? Anuary? 375 00:20:42,840 --> 00:20:43,760 Speaker 4: When guy? 376 00:20:44,359 --> 00:20:50,160 Speaker 2: Exactly when they came. 377 00:20:50,040 --> 00:20:52,879 Speaker 4: From the reds? And Nobody's coming for. 378 00:20:54,400 --> 00:20:59,920 Speaker 14: Nobody's coming Protagram movie nobody is coming for the moving, 379 00:21:00,040 --> 00:21:00,880 Speaker 14: Nobody's coming. 380 00:21:00,720 --> 00:21:09,720 Speaker 16: For It's the world as we know that Michael ends 381 00:21:09,720 --> 00:21:13,119 Speaker 16: of the world thoughts. 382 00:21:17,359 --> 00:21:20,679 Speaker 1: Sometimes I hear random things by random people who I 383 00:21:20,680 --> 00:21:25,399 Speaker 1: don't even know, but they take the time to record 384 00:21:25,440 --> 00:21:30,880 Speaker 1: themselves and they post it. And you know, I don't 385 00:21:30,920 --> 00:21:37,600 Speaker 1: think that every great opinion is necessarily held by a 386 00:21:37,640 --> 00:21:42,960 Speaker 1: famous person. Sometimes a person can share their story and that's. 387 00:21:42,440 --> 00:21:45,119 Speaker 5: Just as valid, just as valid. 388 00:21:46,600 --> 00:21:49,480 Speaker 1: I came across a video friend of mine senter to 389 00:21:49,520 --> 00:21:53,680 Speaker 1: me actually, and it's by a woman who calls herself 390 00:21:53,880 --> 00:21:58,119 Speaker 1: m K Online. Don't know her. She's kind of cute, 391 00:21:58,359 --> 00:22:05,439 Speaker 1: and she's making a pasta is while she's explaining how 392 00:22:06,520 --> 00:22:11,399 Speaker 1: multiculturalism has been imposed on white people and white people 393 00:22:11,440 --> 00:22:15,399 Speaker 1: have tolerated it, and how stupid it is. This is 394 00:22:15,440 --> 00:22:17,920 Speaker 1: the kind of thing that the only thing the left 395 00:22:17,960 --> 00:22:21,200 Speaker 1: can do in response to this six point thirty six 396 00:22:21,200 --> 00:22:24,560 Speaker 1: from More. The only thing they can do is claim racism, 397 00:22:25,680 --> 00:22:29,280 Speaker 1: but there's nothing racist. You claim racism when you don't 398 00:22:29,280 --> 00:22:33,440 Speaker 1: have a response. Frankly, but she's sitting there making the pasta, 399 00:22:33,600 --> 00:22:37,840 Speaker 1: and I actually thought she made some really really good points. 400 00:22:39,240 --> 00:22:42,679 Speaker 17: Now, riddle me this. You live under white supremacy, but 401 00:22:42,800 --> 00:22:46,160 Speaker 17: somehow white people are only nine percent of the global population. 402 00:22:46,600 --> 00:22:49,600 Speaker 17: Yet within all of our ancestral homelands we have mass 403 00:22:49,600 --> 00:22:53,479 Speaker 17: and regulated immigration, news and entertainment media that demonizes us 404 00:22:53,520 --> 00:22:57,240 Speaker 17: twenty four to sevens, along with academic institutions and governments 405 00:22:57,280 --> 00:22:59,520 Speaker 17: that clearly hate us as well. We also now have 406 00:22:59,560 --> 00:23:02,280 Speaker 17: countries full of people that either a insists we have 407 00:23:02,359 --> 00:23:04,920 Speaker 17: no culture or b insists that we have our culture 408 00:23:04,920 --> 00:23:07,320 Speaker 17: flown in since we don't have enough and we need 409 00:23:07,359 --> 00:23:09,240 Speaker 17: to use the people of no culture's money. 410 00:23:09,240 --> 00:23:10,560 Speaker 8: By the way, they need to fund all this. 411 00:23:10,920 --> 00:23:11,359 Speaker 9: What do you know? 412 00:23:11,480 --> 00:23:14,359 Speaker 17: This is not only happening to only Western countries that 413 00:23:14,440 --> 00:23:17,800 Speaker 17: are majority people of European descent, but it is happening 414 00:23:17,800 --> 00:23:20,879 Speaker 17: to every single one. We all need more multiculturalism and 415 00:23:20,920 --> 00:23:24,240 Speaker 17: no other countries do. And because we live under white supremacy, 416 00:23:24,359 --> 00:23:27,480 Speaker 17: the US, which was ninety percent people of European descent 417 00:23:27,480 --> 00:23:29,840 Speaker 17: for hundreds of years, has gone down to fifty seven 418 00:23:29,880 --> 00:23:33,760 Speaker 17: percent today. Not only that, but a mainstream talking point 419 00:23:33,840 --> 00:23:37,000 Speaker 17: is abolishing whiteness. So basically, we broaden a bunch of 420 00:23:37,040 --> 00:23:39,240 Speaker 17: people that think that all the racial tension can't be 421 00:23:39,320 --> 00:23:42,240 Speaker 17: solved until white people are just eliminated. That's how we 422 00:23:42,280 --> 00:23:45,040 Speaker 17: fix it. Not they go back to their own homelands 423 00:23:45,080 --> 00:23:46,760 Speaker 17: if they don't like being around white people. No, no, 424 00:23:46,800 --> 00:23:49,520 Speaker 17: it's our fault. Truly, is some white privilege to have 425 00:23:49,680 --> 00:23:53,520 Speaker 17: your populations declining birth rates not only tracked but celebrated 426 00:23:53,560 --> 00:23:56,640 Speaker 17: by special interest groups and individuals. You get to make 427 00:23:56,680 --> 00:24:00,240 Speaker 17: sure we're protecting ourselves against white supremacy because white people 428 00:24:00,240 --> 00:24:03,720 Speaker 17: having power in majority white countries is the biggest threat 429 00:24:04,160 --> 00:24:08,000 Speaker 17: to democracy ever. We need less representation in majority white 430 00:24:08,040 --> 00:24:10,720 Speaker 17: countries and white people because white people gave non white 431 00:24:10,720 --> 00:24:13,760 Speaker 17: people citizenship, and as a thank you, the first thing 432 00:24:13,800 --> 00:24:16,800 Speaker 17: they did was remove white people from their own institutions. 433 00:24:17,200 --> 00:24:21,160 Speaker 17: They then designated us as a cultural evil and predirected 434 00:24:21,200 --> 00:24:23,399 Speaker 17: our resources towards their own in group. 435 00:24:24,000 --> 00:24:25,240 Speaker 8: No one demands. 436 00:24:24,880 --> 00:24:29,520 Speaker 17: Peruvians, Nigerians, Arabs or Koreans to forcefully open up their 437 00:24:29,520 --> 00:24:32,720 Speaker 17: borders and coexist with everyone. Also, feel free to let 438 00:24:32,760 --> 00:24:35,600 Speaker 17: me know which other countries allow dual citizens to control 439 00:24:35,680 --> 00:24:39,840 Speaker 17: their treasury, borders, health standards, things of that nature. 440 00:24:40,280 --> 00:24:40,719 Speaker 4: I don't know. 441 00:24:40,840 --> 00:24:43,360 Speaker 17: I just think some might call a country that's run 442 00:24:43,359 --> 00:24:46,760 Speaker 17: by foreigners on behalf of foreign interests that is also 443 00:24:47,040 --> 00:24:50,120 Speaker 17: very clearly hostile to the native population. Some might call 444 00:24:50,200 --> 00:24:53,280 Speaker 17: that an occupied country. And just to state the obvious, 445 00:24:53,720 --> 00:24:55,760 Speaker 17: your government should not turn on you in. 446 00:24:55,760 --> 00:24:56,680 Speaker 6: Favor of foreigners. 447 00:24:57,000 --> 00:24:59,960 Speaker 17: This quite literally would have caused a massive government overhaul 448 00:25:00,280 --> 00:25:03,119 Speaker 17: in quite literally any other time period. Okay, since we 449 00:25:03,240 --> 00:25:05,920 Speaker 17: normalized it, I guess there's really nothing wrong with us 450 00:25:05,960 --> 00:25:07,280 Speaker 17: being completely. 451 00:25:08,680 --> 00:25:11,400 Speaker 1: Leaving aside her delivery because she's a young woman, probably 452 00:25:11,440 --> 00:25:15,919 Speaker 1: in her early twenties. Pretty sound judgment, and there is 453 00:25:16,000 --> 00:25:19,480 Speaker 1: validity in each person's opinion because it is their opinion, 454 00:25:20,359 --> 00:25:24,240 Speaker 1: even if they're white. This fella posts under the name 455 00:25:24,400 --> 00:25:30,159 Speaker 1: Captain Common Sense USA and seems pretty common sensical to me. 456 00:25:31,280 --> 00:25:34,280 Speaker 15: So apparently Tom Hanks was on SNL dressed up as 457 00:25:34,320 --> 00:25:37,520 Speaker 15: a MAGA supporter and was afraid to shake a black 458 00:25:37,600 --> 00:25:42,280 Speaker 15: man's hand because apparently MAGA is racist. The fact that 459 00:25:42,400 --> 00:25:46,439 Speaker 15: y'all can't read the room is absolutely insane at this point, 460 00:25:47,160 --> 00:25:50,320 Speaker 15: y'all continue to move forward with this played out and 461 00:25:50,440 --> 00:25:55,240 Speaker 15: delusional narrative that all of MAGA is racist. White supremacy 462 00:25:55,359 --> 00:25:59,119 Speaker 15: is the biggest threat to America, and MAGA is full 463 00:25:59,440 --> 00:26:03,959 Speaker 15: of white supremacist and if you're anything but a white person, 464 00:26:04,080 --> 00:26:08,320 Speaker 15: you're obviously brainwashed. I'm talking about y'all are quick to 465 00:26:08,359 --> 00:26:12,199 Speaker 15: say they don't even like you. And that's totally hilarious 466 00:26:12,240 --> 00:26:15,000 Speaker 15: coming from y'all because I have literally seen white people 467 00:26:15,119 --> 00:26:17,760 Speaker 15: as shamed to be white and put black people on 468 00:26:17,800 --> 00:26:20,479 Speaker 15: a pedestal and say things like, oh, I wish I 469 00:26:20,560 --> 00:26:23,119 Speaker 15: was black, I wish I was like you, white people 470 00:26:23,200 --> 00:26:27,000 Speaker 15: suck while being white, Like what listen to me? If 471 00:26:27,080 --> 00:26:32,240 Speaker 15: MAGA was racist, they absolutely suck at being racist. MAGA 472 00:26:32,280 --> 00:26:35,200 Speaker 15: is filled with some of the most supportive, genuine nice 473 00:26:35,280 --> 00:26:38,160 Speaker 15: people I have ever met in my life. And I'm 474 00:26:38,200 --> 00:26:41,159 Speaker 15: not just talking about white people. I'm talking about black people, 475 00:26:41,359 --> 00:26:45,040 Speaker 15: Hispanic people, Asian people, Indian people, you name it. Y'all 476 00:26:45,080 --> 00:26:48,119 Speaker 15: have to understand that this kind of stuff right here 477 00:26:48,520 --> 00:26:51,000 Speaker 15: is why y'all lost the election in the first place. 478 00:26:51,359 --> 00:26:52,040 Speaker 15: Knock it off. 479 00:26:54,080 --> 00:26:59,359 Speaker 1: You're right, it really upsets white liberals when blacks say 480 00:26:59,359 --> 00:27:03,920 Speaker 1: things like that, it really really upsets them. I can't 481 00:27:03,960 --> 00:27:07,159 Speaker 1: keep up with the left. Here is Trevor Noah and 482 00:27:07,200 --> 00:27:11,680 Speaker 1: Princeton University professor Ruha Benjamin. She's Jewish, he's black from 483 00:27:11,760 --> 00:27:17,439 Speaker 1: South Africa, advocating for the reintroduction of racial segregation in 484 00:27:17,480 --> 00:27:21,320 Speaker 1: American schools. We can't possibly keep up with all the 485 00:27:21,359 --> 00:27:24,080 Speaker 1: things they want done. They want blacks here and blacks there, 486 00:27:24,080 --> 00:27:25,520 Speaker 1: and then they did no don't want no, no, no, no, 487 00:27:25,600 --> 00:27:28,520 Speaker 1: they want their own what look, gos, just make up 488 00:27:28,560 --> 00:27:29,520 Speaker 1: your mind. 489 00:27:30,119 --> 00:27:33,080 Speaker 3: I found myself wondering, and this applies to America and 490 00:27:33,119 --> 00:27:34,920 Speaker 3: then maybe it'll go to other places in a different 491 00:27:34,920 --> 00:27:38,840 Speaker 3: way because Finland ties in. Do you think that integration 492 00:27:40,160 --> 00:27:46,199 Speaker 3: was the right move? Like I And now I'm separating 493 00:27:46,359 --> 00:27:48,080 Speaker 3: two things because I know in American people like well, 494 00:27:48,080 --> 00:27:50,240 Speaker 3: of course, I mean there were people were there was racism, 495 00:27:50,280 --> 00:27:52,199 Speaker 3: and there's segregation, and I go, yeah, no, no, no, I'm 496 00:27:52,240 --> 00:27:55,800 Speaker 3: separating them. Let's separate someone being oppressed and someone not 497 00:27:55,840 --> 00:27:57,320 Speaker 3: being able to get a job, and someone not being 498 00:27:57,359 --> 00:27:59,200 Speaker 3: able to get a bank law. Let's take all of 499 00:27:59,240 --> 00:28:02,919 Speaker 3: those the negative things away, because I'll put myself up 500 00:28:02,960 --> 00:28:07,040 Speaker 3: personally and say, I think whether we're talking about gifted 501 00:28:07,119 --> 00:28:10,680 Speaker 3: kids who are anomalous, let's say to the norm, whether 502 00:28:10,720 --> 00:28:15,280 Speaker 3: we're talking about and I mean anything, anything that does 503 00:28:15,320 --> 00:28:18,280 Speaker 3: not fit into a category. I think the part of 504 00:28:18,320 --> 00:28:21,160 Speaker 3: the reason Finland is able to do it is because 505 00:28:21,400 --> 00:28:24,320 Speaker 3: have you been to Finland. I've been to Finland. You 506 00:28:24,359 --> 00:28:28,919 Speaker 3: know who's in Finland, Finish people. That's it, that's it. 507 00:28:30,280 --> 00:28:32,960 Speaker 3: And because they're all finished, there's an idea of like, no, 508 00:28:33,000 --> 00:28:35,600 Speaker 3: we all head in the same direction. We all know 509 00:28:35,680 --> 00:28:38,520 Speaker 3: what our actions mean. And that's a really powerful thing 510 00:28:38,520 --> 00:28:41,480 Speaker 3: I've learned in communicating with other people. When I'm in 511 00:28:41,520 --> 00:28:44,640 Speaker 3: a room with anyone where we start to tie together 512 00:28:44,760 --> 00:28:46,960 Speaker 3: multiple things. So if I'm in a room with black 513 00:28:47,000 --> 00:28:50,040 Speaker 3: people already, there's like an implicit trust because we know 514 00:28:50,080 --> 00:28:54,040 Speaker 3: what certain actions, words and vibes mean. And then you're 515 00:28:54,040 --> 00:28:58,240 Speaker 3: in a room with another African ah already. Now even 516 00:28:58,280 --> 00:29:00,680 Speaker 3: if you shout at me, I know what you're shout means, 517 00:29:00,680 --> 00:29:03,840 Speaker 3: the same way in Italian knows what an Italian shout means. Yeah, right, 518 00:29:04,160 --> 00:29:06,720 Speaker 3: I know it's I'm prefacing it with a luck because 519 00:29:06,840 --> 00:29:09,360 Speaker 3: it's a loaded question. Yes, but I would love to 520 00:29:09,440 --> 00:29:13,920 Speaker 3: know if you think integration was the right solution, maybe 521 00:29:14,200 --> 00:29:17,120 Speaker 3: on the other side of you know what, America of 522 00:29:17,160 --> 00:29:17,760 Speaker 3: civil rights. 523 00:29:18,000 --> 00:29:18,760 Speaker 4: Yeah, I know. 524 00:29:19,080 --> 00:29:22,240 Speaker 1: I read a stat that said one in four Swedish 525 00:29:22,240 --> 00:29:27,080 Speaker 1: women will be raped as sexual assaults increase five hundred percent. 526 00:29:27,920 --> 00:29:32,440 Speaker 1: Forty two years after the Swedish Parliament unanimously decided to 527 00:29:33,080 --> 00:29:38,400 Speaker 1: change the homogeneous Sweden into multicultural country, rapes are up 528 00:29:38,480 --> 00:29:42,480 Speaker 1: one four hundred and seventy two percent and violent crime 529 00:29:42,560 --> 00:29:46,160 Speaker 1: is up three hundred percent. So yeah, so 530 00:29:47,680 --> 00:29:51,520 Speaker 5: Well, yeah,