1 00:00:03,240 --> 00:00:15,360 Speaker 1: You are entering the freedom much a black Portland police 2 00:00:15,360 --> 00:00:21,680 Speaker 1: officer speaks the truth about racist BLM protesters. Twitter gets hacked, 3 00:00:22,160 --> 00:00:26,000 Speaker 1: hold the line against COVID panic. An NYPD chief says 4 00:00:26,079 --> 00:00:30,120 Speaker 1: cops are handcuffed by politics, and the Trump campaign makes 5 00:00:30,120 --> 00:00:35,199 Speaker 1: a change. Buck Sexton coding the news and disseminating information 6 00:00:35,440 --> 00:00:41,600 Speaker 1: which actionable intelligence. Make no mistake American. Great, You're a 7 00:00:41,640 --> 00:00:46,240 Speaker 1: great American Again. This is the bucks Sexton Show. Former 8 00:00:46,320 --> 00:00:50,199 Speaker 1: CIA analysts. I can speak to three hours without a 9 00:00:50,200 --> 00:00:56,320 Speaker 1: phone call. Try doing that sometime. No, welcome, my friend 10 00:00:56,440 --> 00:00:58,279 Speaker 1: to the buck Sexton Show. Great to have you here 11 00:00:58,320 --> 00:01:01,680 Speaker 1: with me. As always, thank you so much for spending 12 00:01:01,720 --> 00:01:04,000 Speaker 1: some time with us today. As we go through everything 13 00:01:04,040 --> 00:01:07,319 Speaker 1: that is happening across the country, I wanted to start 14 00:01:07,360 --> 00:01:11,600 Speaker 1: with some recognitions that I think are finally coming to 15 00:01:11,640 --> 00:01:14,839 Speaker 1: the forefront for those who are honest and paying attention 16 00:01:15,240 --> 00:01:18,080 Speaker 1: and looking at what's really happening in the country. You 17 00:01:18,120 --> 00:01:22,600 Speaker 1: have a few things. One, the theory out there that 18 00:01:22,720 --> 00:01:26,400 Speaker 1: we need to have a national lockdown or a series 19 00:01:26,600 --> 00:01:31,080 Speaker 1: of rolling lockdowns at the national level is completely insane. 20 00:01:31,160 --> 00:01:34,680 Speaker 1: I've been consistent on this. I'll explain why. But I 21 00:01:35,120 --> 00:01:37,120 Speaker 1: believe people are starting to recognize this is just a 22 00:01:37,200 --> 00:01:42,000 Speaker 1: non planed plan. There's no there's no good explanation for 23 00:01:42,080 --> 00:01:46,320 Speaker 1: doing this unless it's a very short term reduction in 24 00:01:46,440 --> 00:01:50,080 Speaker 1: cases in a very specific area only for the issue 25 00:01:50,120 --> 00:01:53,040 Speaker 1: of hospital capacity. It will return to that later, not 26 00:01:53,520 --> 00:01:56,720 Speaker 1: because oh my gosh, this state has a lot of cases. 27 00:01:56,760 --> 00:02:01,000 Speaker 1: That's not a good reason to lockdown. But also, what 28 00:02:01,120 --> 00:02:08,360 Speaker 1: has the BLM movement achieved so far? What has been 29 00:02:08,360 --> 00:02:12,760 Speaker 1: the upside of this movement that was not just supported 30 00:02:12,800 --> 00:02:16,440 Speaker 1: but bowed down to buy Corporate America? What have we 31 00:02:16,560 --> 00:02:21,480 Speaker 1: gotten from this? How has it made anything better? Some 32 00:02:21,520 --> 00:02:26,239 Speaker 1: of our major cities are markedly less safe, provably demonstrably 33 00:02:26,280 --> 00:02:31,240 Speaker 1: more violent. There's been millions of dollars of property damage. 34 00:02:31,280 --> 00:02:34,040 Speaker 1: No one can really calculate what's going to happen in 35 00:02:34,080 --> 00:02:36,480 Speaker 1: some of the neighborhoods in places like Minneapolis that were 36 00:02:37,040 --> 00:02:40,640 Speaker 1: burned out, looted. How long is that going to last? 37 00:02:40,960 --> 00:02:43,160 Speaker 1: Are you going to want to buy a home right 38 00:02:43,200 --> 00:02:45,600 Speaker 1: next to where they just had a BLM protest come 39 00:02:45,680 --> 00:02:50,280 Speaker 1: through and burn down a CBS or burn out a 40 00:02:50,320 --> 00:02:55,960 Speaker 1: grocery store? Probably not so. Really, Now, this movement that 41 00:02:56,040 --> 00:02:58,600 Speaker 1: has been around for a few months, you look at 42 00:02:58,600 --> 00:03:01,280 Speaker 1: it and say, hold on a minute, what is it 43 00:03:01,320 --> 00:03:04,560 Speaker 1: doing for us? What is it really all about? Now, 44 00:03:04,680 --> 00:03:07,680 Speaker 1: I've known where we were heading with this because I 45 00:03:07,680 --> 00:03:09,840 Speaker 1: remember the last time there was a BLM movement. The 46 00:03:09,960 --> 00:03:15,240 Speaker 1: media has no institutional memory when it comes to understanding 47 00:03:15,560 --> 00:03:19,200 Speaker 1: why they were wrong the last time, right, whether it's 48 00:03:19,360 --> 00:03:22,360 Speaker 1: you look at the treatment of Kavanaugh and why we 49 00:03:22,360 --> 00:03:26,080 Speaker 1: should actually believe in evidence instead of emotion, or you 50 00:03:26,080 --> 00:03:30,000 Speaker 1: look at the way that they've just completely and utterly 51 00:03:30,040 --> 00:03:33,920 Speaker 1: debased themselves over the Russia collusion nonsense, never learning any lessons. 52 00:03:34,080 --> 00:03:36,680 Speaker 1: You know, maybe just some random leak from a former 53 00:03:36,680 --> 00:03:40,560 Speaker 1: intelligence a former intelligence officer, does not in fact mean 54 00:03:40,640 --> 00:03:44,040 Speaker 1: that Putin was directing Trump in how to steal the 55 00:03:44,120 --> 00:03:47,120 Speaker 1: last election. They never learned their lessons. I think it's intentional. 56 00:03:47,720 --> 00:03:51,680 Speaker 1: But also they're pretty dumb. I mean, most journalists are stupid. 57 00:03:52,280 --> 00:03:54,920 Speaker 1: Not all, some are quite bright, but most journalists are 58 00:03:54,920 --> 00:03:57,720 Speaker 1: pretty dumb. And I've dealt with tons of them at 59 00:03:57,720 --> 00:04:01,280 Speaker 1: this point now for the last decade. It's pretty it's shocking. 60 00:04:01,720 --> 00:04:05,720 Speaker 1: Unless you've actually spent time around the news media, you 61 00:04:05,800 --> 00:04:08,680 Speaker 1: really can't. You really can't get a good feel for Wow, 62 00:04:08,720 --> 00:04:15,680 Speaker 1: these people are generally ignorant, deeply narcissistic, and wildly political 63 00:04:15,960 --> 00:04:20,360 Speaker 1: as Democrats, that's the standard that you get for most 64 00:04:20,400 --> 00:04:24,919 Speaker 1: of them. But Black Lives Matter hasn't done anything yet 65 00:04:24,960 --> 00:04:28,240 Speaker 1: that any person who is judging this based on results 66 00:04:28,760 --> 00:04:31,800 Speaker 1: would think is an improvement. You know, if you have 67 00:04:31,839 --> 00:04:35,279 Speaker 1: a major political a major political group that's out there 68 00:04:35,279 --> 00:04:38,880 Speaker 1: on the streets, a political movement that's saying, you know, hey, 69 00:04:39,279 --> 00:04:43,760 Speaker 1: we have the following demands, and some of the demands, 70 00:04:43,760 --> 00:04:46,240 Speaker 1: you might say, I don't necessarily agree, but at least 71 00:04:46,240 --> 00:04:49,360 Speaker 1: there'd be there'd be some improvement from it, right, Something 72 00:04:49,400 --> 00:04:52,080 Speaker 1: would be better if we did this. Maybe the tradeoff 73 00:04:52,200 --> 00:04:55,280 Speaker 1: isn't worth it, but no, Black Lives Matter has only 74 00:04:55,320 --> 00:05:00,200 Speaker 1: pushed for things that make everything worse for everyone. But 75 00:05:00,279 --> 00:05:05,040 Speaker 1: it does, in making things worse, bring down Trump approval rating. 76 00:05:05,520 --> 00:05:09,640 Speaker 1: It does show power right that they can just hold 77 00:05:09,640 --> 00:05:13,479 Speaker 1: the country hostage to their demands that they during a 78 00:05:13,520 --> 00:05:17,760 Speaker 1: pandemic even can go out and completely forget about and 79 00:05:17,839 --> 00:05:20,680 Speaker 1: get a pass on all of the social distancing and 80 00:05:20,800 --> 00:05:24,120 Speaker 1: mask wearing. And I'd see people increasingly calling them face diapers, 81 00:05:24,120 --> 00:05:28,360 Speaker 1: which I think I tend to agree with that that 82 00:05:28,440 --> 00:05:30,600 Speaker 1: has been happening again and now we're also starting to 83 00:05:30,640 --> 00:05:33,839 Speaker 1: find find out the truth about who's really involved in 84 00:05:33,880 --> 00:05:37,719 Speaker 1: this movement, who's really pushing this. You know, in the 85 00:05:37,720 --> 00:05:42,839 Speaker 1: early days, there were a lot of people that lived 86 00:05:42,880 --> 00:05:45,839 Speaker 1: in there are a lot of minorities who lived in communities. 87 00:05:45,880 --> 00:05:48,440 Speaker 1: And this is just based on the video footage you'd 88 00:05:48,480 --> 00:05:50,320 Speaker 1: see on the news and the leaders of the movement 89 00:05:51,080 --> 00:05:53,920 Speaker 1: who would be talking about police violence and police brutality, 90 00:05:54,320 --> 00:05:57,359 Speaker 1: and that gave a certain credibility at least to the 91 00:05:57,400 --> 00:06:02,440 Speaker 1: movement having some some honest feelings behind it. Now, whether 92 00:06:02,480 --> 00:06:07,320 Speaker 1: you agree with that being a widespread, widespread, honest feelings 93 00:06:07,400 --> 00:06:10,520 Speaker 1: or not, that's a whole other part of this discussion. 94 00:06:11,080 --> 00:06:15,040 Speaker 1: But now what you see increasingly are just crazy braddy 95 00:06:15,400 --> 00:06:19,480 Speaker 1: white kids running around, you know, twenty five thirty year 96 00:06:19,520 --> 00:06:24,839 Speaker 1: olds who are running around and acting like maniacs because 97 00:06:24,920 --> 00:06:29,000 Speaker 1: they have trumped arrangement syndrome and they're using this, they're 98 00:06:29,120 --> 00:06:33,960 Speaker 1: using this shield of Black Lives matter whenever they get 99 00:06:34,200 --> 00:06:38,520 Speaker 1: you know, over indulgent, whatever they do too much, they 100 00:06:38,520 --> 00:06:40,599 Speaker 1: attack cops or whatever it is. Oh, this is about 101 00:06:40,640 --> 00:06:44,360 Speaker 1: black lives matter. Weren't we all arguing as a country 102 00:06:44,360 --> 00:06:47,919 Speaker 1: about statues about a week or two ago, what happened 103 00:06:47,920 --> 00:06:51,440 Speaker 1: to that. Oh you mean, it wasn't really about the statues. 104 00:06:51,960 --> 00:06:54,200 Speaker 1: It's also not really about the killing of George Floyd, 105 00:06:54,279 --> 00:06:57,440 Speaker 1: My friends, This movement is not really about any of 106 00:06:57,480 --> 00:07:01,440 Speaker 1: the things they've told us. It's about it's just find 107 00:07:01,560 --> 00:07:05,800 Speaker 1: areas that are emotionally volatile, Find areas where there's a 108 00:07:05,960 --> 00:07:10,280 Speaker 1: damage to the national psyche, Exploit them, make people angry, 109 00:07:10,320 --> 00:07:13,440 Speaker 1: give them an outlet for all the rage and all 110 00:07:13,480 --> 00:07:17,680 Speaker 1: the frustration that we feel because of these unnecessary shutdowns 111 00:07:17,840 --> 00:07:21,880 Speaker 1: that we've been put through for months now. And you 112 00:07:22,000 --> 00:07:25,440 Speaker 1: have a great mobilization tool for the Democrat Party, getting 113 00:07:25,480 --> 00:07:29,000 Speaker 1: the base energized and making everybody else in the country 114 00:07:29,000 --> 00:07:30,800 Speaker 1: who just wants to go back to life miserable and 115 00:07:30,920 --> 00:07:33,320 Speaker 1: scared that they're gonna say the wrong thing and get 116 00:07:33,360 --> 00:07:35,760 Speaker 1: fired from their job, that they're gonna, you know, go 117 00:07:35,840 --> 00:07:38,240 Speaker 1: too far with one thing and there'll be a problem. 118 00:07:38,960 --> 00:07:40,760 Speaker 1: You know, they'll say something online and all of a 119 00:07:40,800 --> 00:07:46,280 Speaker 1: sudden their business will be boycotted. So what's this movement's 120 00:07:46,320 --> 00:07:48,920 Speaker 1: ethos really? Who's pushing And I said to you, there 121 00:07:48,920 --> 00:07:55,880 Speaker 1: are a lot of white liberals, young white liberals, who 122 00:07:56,240 --> 00:08:00,560 Speaker 1: have taken over much of the activity here and what 123 00:08:00,640 --> 00:08:03,080 Speaker 1: are they like, you know, because they tell us that 124 00:08:03,080 --> 00:08:05,880 Speaker 1: they're anti racist, and now if you don't sign on 125 00:08:06,000 --> 00:08:10,480 Speaker 1: for their agenda, you are not, in fact an anti racist. 126 00:08:10,520 --> 00:08:12,560 Speaker 1: You have to do that or else you're kind of 127 00:08:12,600 --> 00:08:15,800 Speaker 1: complicit in racism. That's the way they structure this, that's 128 00:08:15,800 --> 00:08:21,320 Speaker 1: the way they set it up. And you have a 129 00:08:21,440 --> 00:08:26,120 Speaker 1: Portland police officer, Officer Jackson, who gave an interview and 130 00:08:26,280 --> 00:08:28,320 Speaker 1: either you won't see this on the mainstream news channels, 131 00:08:28,360 --> 00:08:30,200 Speaker 1: gave an interviewer where he explains, now, this is a 132 00:08:30,320 --> 00:08:34,720 Speaker 1: this is a black police officer in Portland, Oregon talking 133 00:08:34,760 --> 00:08:38,640 Speaker 1: about what it's like to try and deal with these 134 00:08:38,679 --> 00:08:43,479 Speaker 1: protesters who the media refers to as mostly peaceful, anti racist, 135 00:08:43,559 --> 00:08:47,120 Speaker 1: anti fascist and all about black lives. Well, here's a 136 00:08:47,160 --> 00:08:52,400 Speaker 1: black cop telling you what he thinks about these protesters. 137 00:08:52,600 --> 00:08:57,120 Speaker 1: Play clip two. It says something when you're at a 138 00:08:57,200 --> 00:09:02,520 Speaker 1: black Lives Matter protest, you have more or minorities on 139 00:09:02,559 --> 00:09:05,200 Speaker 1: the police side, then you have in a violent crowd, 140 00:09:07,200 --> 00:09:12,160 Speaker 1: and you have white people screaming at black officers. You 141 00:09:12,240 --> 00:09:15,840 Speaker 1: have the biggest knows I've ever seen. What was it 142 00:09:15,920 --> 00:09:18,760 Speaker 1: like in that capacity in the first few weeks when 143 00:09:18,800 --> 00:09:21,360 Speaker 1: the offence was up around the Justice Center. I got 144 00:09:21,360 --> 00:09:25,360 Speaker 1: to see folks that really do want change, like the 145 00:09:25,400 --> 00:09:29,160 Speaker 1: rest of us, that have been impacted by racism, and 146 00:09:29,160 --> 00:09:31,600 Speaker 1: then I got to see those people get faded out 147 00:09:32,760 --> 00:09:35,160 Speaker 1: by people that have no idea what racism is all about. 148 00:09:35,480 --> 00:09:39,560 Speaker 1: I've never experienced racism that don't even know that the 149 00:09:39,640 --> 00:09:43,120 Speaker 1: tactics that they are using are the same tactics that 150 00:09:43,200 --> 00:09:46,120 Speaker 1: were used against my people. And they don't even know that. 151 00:09:46,280 --> 00:09:48,320 Speaker 1: They don't even know the history. They don't know what 152 00:09:48,360 --> 00:09:51,599 Speaker 1: they're saying. Coming from someone who graduate from PSU with 153 00:09:51,679 --> 00:09:55,280 Speaker 1: a history degree, it's actually frightening, you know. They say, 154 00:09:55,320 --> 00:09:57,120 Speaker 1: if you don't know your history, you repeat it, and 155 00:09:57,200 --> 00:10:01,720 Speaker 1: watching people do that to other people. Here, you have 156 00:10:01,920 --> 00:10:08,040 Speaker 1: a very eloquent black cop in Portland laying out for 157 00:10:08,200 --> 00:10:12,160 Speaker 1: you something you won't here on the mainstream news channels. 158 00:10:12,160 --> 00:10:14,080 Speaker 1: You won't You won't see the New York Times writing 159 00:10:14,120 --> 00:10:17,040 Speaker 1: this up. He is telling you what we all knew 160 00:10:17,200 --> 00:10:18,880 Speaker 1: was going to happen here, which is that in the 161 00:10:18,920 --> 00:10:21,400 Speaker 1: beginning there are people who saw everyone saw what happened 162 00:10:21,400 --> 00:10:23,280 Speaker 1: to George Folloydson. My god, that's terrible. There needs to 163 00:10:23,320 --> 00:10:26,280 Speaker 1: be accountability and there will be people in that moment, 164 00:10:26,559 --> 00:10:29,719 Speaker 1: who really do want to address racism, want to look 165 00:10:29,720 --> 00:10:31,840 Speaker 1: at police brutality, won't want to have a serious adult 166 00:10:31,880 --> 00:10:36,959 Speaker 1: conversation about those serious and adult issues. But the left 167 00:10:37,080 --> 00:10:39,640 Speaker 1: was never interested in that. It was always the the 168 00:10:39,760 --> 00:10:44,920 Speaker 1: ignition point for the exploitation of their own political movement. 169 00:10:45,720 --> 00:10:49,920 Speaker 1: It was never meant to be a real structural change, 170 00:10:50,000 --> 00:10:52,920 Speaker 1: not for the not for the apparatus of the Democrat 171 00:10:52,960 --> 00:10:56,240 Speaker 1: Party in the left. And that's why, as this officer 172 00:10:56,320 --> 00:10:58,400 Speaker 1: just told you, and he's been all along, Portland has 173 00:10:58,400 --> 00:11:01,239 Speaker 1: been one of the it's one of the tremendous hotspots 174 00:11:01,240 --> 00:11:05,120 Speaker 1: for left wing the most aggressive left wing street protest 175 00:11:05,200 --> 00:11:08,240 Speaker 1: activism stuff anywhere in the country. Probably the most active 176 00:11:08,360 --> 00:11:11,440 Speaker 1: ANTIFA chapter in the whole United States is in Portland. 177 00:11:12,040 --> 00:11:14,240 Speaker 1: So this guy's been dealing this cop has been dealing 178 00:11:14,280 --> 00:11:18,000 Speaker 1: with this for months, and he's saying, you know what, 179 00:11:18,040 --> 00:11:21,640 Speaker 1: this has really turned into a bunch of mostly white, 180 00:11:22,200 --> 00:11:27,800 Speaker 1: ignorant liberal you know millennials and gen z who were 181 00:11:27,840 --> 00:11:34,720 Speaker 1: showing up and saying incredibly truly racist things to a 182 00:11:34,920 --> 00:11:41,120 Speaker 1: black cop, real racism like you know, Nazi Germany kind 183 00:11:41,120 --> 00:11:46,439 Speaker 1: of racism stuff to a black coup. And they think 184 00:11:46,440 --> 00:11:51,240 Speaker 1: they think they're fighting racism. No, they're just angry morons 185 00:11:51,280 --> 00:11:54,160 Speaker 1: who have been indoctrinated by the Democrat Party and the 186 00:11:54,280 --> 00:11:57,880 Speaker 1: media and all these different cultural institutions that are controlled 187 00:11:57,920 --> 00:12:00,000 Speaker 1: by the left in this country that want to divide 188 00:12:00,200 --> 00:12:02,720 Speaker 1: this by race. They want to divide us in the 189 00:12:02,800 --> 00:12:10,280 Speaker 1: most vicious and irreparable ways. He's telling you, and he 190 00:12:10,320 --> 00:12:13,520 Speaker 1: has more to say. Play clip three. A lot of 191 00:12:13,520 --> 00:12:16,800 Speaker 1: times someone of color, black, Hispanic, Asian come up to 192 00:12:16,800 --> 00:12:19,160 Speaker 1: the fence and directly want to talk to me. Hey, 193 00:12:19,200 --> 00:12:20,880 Speaker 1: what do you think about George Floyd? What do you 194 00:12:20,920 --> 00:12:23,680 Speaker 1: think about what happened about this? I go to the fence, 195 00:12:24,160 --> 00:12:27,240 Speaker 1: someone white comes up if the police don't talk to him. 196 00:12:27,679 --> 00:12:31,160 Speaker 1: That was the most bizarre thing because I could see 197 00:12:31,200 --> 00:12:34,040 Speaker 1: it coming. I even had a young African American girl 198 00:12:35,280 --> 00:12:37,040 Speaker 1: tell me, why is it you guys aren't talking to us. 199 00:12:37,040 --> 00:12:40,319 Speaker 1: I said, honestly, this is now the twenty I think 200 00:12:40,320 --> 00:12:42,679 Speaker 1: it was twenty third day of doing it. Every time 201 00:12:42,960 --> 00:12:44,920 Speaker 1: I try to have a conversation with someone that looks 202 00:12:44,960 --> 00:12:47,679 Speaker 1: like me, so a white comes up and blocks him 203 00:12:47,720 --> 00:12:49,559 Speaker 1: and tells him not to talk, and then write. When 204 00:12:49,600 --> 00:12:52,040 Speaker 1: I said that, this white girl pop right in front 205 00:12:52,040 --> 00:12:55,120 Speaker 1: of her she said, he just said that was gonna happen. 206 00:12:55,120 --> 00:12:56,640 Speaker 1: I said, straight up, I say, you know, I've been 207 00:12:56,679 --> 00:12:59,000 Speaker 1: called the N word, She's been called the N word. 208 00:12:59,120 --> 00:13:01,000 Speaker 1: Why are you talking to me this way? Why do 209 00:13:01,040 --> 00:13:03,240 Speaker 1: you feel that she can't speak for herself to me? 210 00:13:03,320 --> 00:13:06,160 Speaker 1: Why is it that you feel you need to speak 211 00:13:06,200 --> 00:13:09,480 Speaker 1: for her when we're having a conversation. Then when you 212 00:13:09,520 --> 00:13:14,400 Speaker 1: go to a gentrified community and one of the first 213 00:13:14,440 --> 00:13:16,679 Speaker 1: pictures I saw that one of the business I was 214 00:13:16,760 --> 00:13:20,520 Speaker 1: looted was a black owned business, I'm like, they they're 215 00:13:20,520 --> 00:13:22,720 Speaker 1: not from here, they don't even know what they're even doing. 216 00:13:23,360 --> 00:13:28,080 Speaker 1: This should be this interview is a must watch everyone 217 00:13:28,120 --> 00:13:30,280 Speaker 1: across the country who cares about what's going on now 218 00:13:30,280 --> 00:13:32,679 Speaker 1: with this Black Lives Matter movement. Here you have a 219 00:13:33,160 --> 00:13:38,400 Speaker 1: black cop who is completely sympathetic to the concerns of 220 00:13:38,440 --> 00:13:42,920 Speaker 1: the minority community when it comes to actual racism and 221 00:13:43,080 --> 00:13:48,880 Speaker 1: police civilian interactions. And that's as I've said, there are 222 00:13:48,920 --> 00:13:53,240 Speaker 1: instances of police brutality that are reprehensible, and there should 223 00:13:53,280 --> 00:13:57,120 Speaker 1: be There should be both accountability and transparency. But that's 224 00:13:57,160 --> 00:13:59,840 Speaker 1: a very different thing to say that you know, one 225 00:14:00,360 --> 00:14:04,400 Speaker 1: out of ten thousand or fifty thousand cops is a 226 00:14:04,480 --> 00:14:08,040 Speaker 1: racist who's going to hurt black or brown people out 227 00:14:08,080 --> 00:14:11,320 Speaker 1: of some animus. Is a very different thing than saying 228 00:14:12,080 --> 00:14:15,120 Speaker 1: cops are racist pigs and we should show them no 229 00:14:15,200 --> 00:14:17,959 Speaker 1: respect to the point, which is what the Libs are saying, 230 00:14:17,960 --> 00:14:21,720 Speaker 1: which with a Democrat BLM movement is saying, and to 231 00:14:21,760 --> 00:14:25,000 Speaker 1: the point where they will have white kids go up 232 00:14:25,040 --> 00:14:28,000 Speaker 1: to a black cop as he just said, and use 233 00:14:28,440 --> 00:14:33,280 Speaker 1: the N word. I mean, you sit here and you say, 234 00:14:33,760 --> 00:14:39,480 Speaker 1: how is this even possible? Because it for the actual 235 00:14:40,360 --> 00:14:43,800 Speaker 1: movement and the apparatus of the left, it's not about 236 00:14:43,800 --> 00:14:48,160 Speaker 1: saving minority lives. It's not even about minority lives that 237 00:14:48,160 --> 00:14:51,040 Speaker 1: have been lost in the past George Floyd or others. 238 00:14:51,200 --> 00:14:56,280 Speaker 1: It is about using points of emotion and division in 239 00:14:56,360 --> 00:15:01,960 Speaker 1: our society for a broader political mobile realization against their opposition, 240 00:15:02,160 --> 00:15:07,600 Speaker 1: which they view as conservative, right wing Trump America. That's it. 241 00:15:08,400 --> 00:15:10,960 Speaker 1: All the other stuff is just a dodge. All the 242 00:15:11,040 --> 00:15:14,560 Speaker 1: other stuff is a ploy, and unfortunately it has been 243 00:15:14,600 --> 00:15:17,320 Speaker 1: a largely successful one. But can you imagine listen to 244 00:15:17,360 --> 00:15:20,480 Speaker 1: what this officer is saying. He says, minorities at these protests, 245 00:15:20,560 --> 00:15:22,800 Speaker 1: black and brown people at the protest come up to 246 00:15:22,880 --> 00:15:25,040 Speaker 1: him as a black man and want to have a 247 00:15:25,040 --> 00:15:28,120 Speaker 1: real conversation about George Floyd. And I can see that 248 00:15:28,120 --> 00:15:30,680 Speaker 1: that makes sense. I get that, And you know what, 249 00:15:30,760 --> 00:15:33,200 Speaker 1: I'm sure this comp would say that was terrible. That 250 00:15:33,240 --> 00:15:35,880 Speaker 1: doesn't represent what I do or any of my colleagues, 251 00:15:36,000 --> 00:15:37,880 Speaker 1: or do you. Every day we all reject that. I've 252 00:15:37,920 --> 00:15:41,600 Speaker 1: heard the entire NYPD from a top to bottom already 253 00:15:41,600 --> 00:15:44,120 Speaker 1: say that. I'm sure this guy would say the same 254 00:15:44,160 --> 00:15:48,080 Speaker 1: thing and has said the same thing. But then that 255 00:15:48,080 --> 00:15:51,560 Speaker 1: would lead to more dialogue, and that would lead to 256 00:15:51,680 --> 00:15:55,080 Speaker 1: perhaps more people who are concerned from the black and 257 00:15:55,120 --> 00:15:59,120 Speaker 1: brown community about police violence, having a greater understanding of 258 00:15:59,120 --> 00:16:02,720 Speaker 1: police and police having a better line of communication with them, 259 00:16:02,960 --> 00:16:06,240 Speaker 1: and things would actually improve. No, that's not what the 260 00:16:06,280 --> 00:16:10,480 Speaker 1: white liberal kids want now. They want to scream racial 261 00:16:10,560 --> 00:16:15,600 Speaker 1: epithets at black cops while thinking they're fighting racism. These 262 00:16:15,640 --> 00:16:18,960 Speaker 1: are all Democrats who are doing this. And I know 263 00:16:19,000 --> 00:16:21,480 Speaker 1: people say, Buck, why are you making a political Because 264 00:16:21,520 --> 00:16:25,240 Speaker 1: it is political. That's all this is. It's not about 265 00:16:25,280 --> 00:16:29,200 Speaker 1: improving society. It's about power and people thinking they are 266 00:16:29,360 --> 00:16:33,160 Speaker 1: better than other people because of their beliefs. Black Lives 267 00:16:33,200 --> 00:16:40,080 Speaker 1: Matter has already collapsed into incoherence and disarray except as 268 00:16:40,080 --> 00:16:44,040 Speaker 1: a tool of rage and division, which is what continues 269 00:16:44,120 --> 00:16:48,080 Speaker 1: to be useful to the Democrat Party. Reform. This was 270 00:16:48,120 --> 00:16:55,000 Speaker 1: never about reform showing respect to black cops. That you 271 00:16:55,040 --> 00:16:58,800 Speaker 1: cannot tell me that a person cares about black lives 272 00:16:59,120 --> 00:17:03,120 Speaker 1: and would in their first interaction with a black police 273 00:17:03,160 --> 00:17:07,000 Speaker 1: officer show not just disrespect to the officer, but disrespect 274 00:17:07,000 --> 00:17:10,400 Speaker 1: to him on account of his race. And believe that 275 00:17:10,440 --> 00:17:16,399 Speaker 1: this movement is not intellectually and morally rotten, because it is. 276 00:17:19,160 --> 00:17:22,119 Speaker 1: You're in the Freedom Art. This is the Buck Sexton 277 00:17:22,200 --> 00:17:28,880 Speaker 1: Show podcast. But we have other cities that are out 278 00:17:28,880 --> 00:17:32,440 Speaker 1: of control. They're like war zones and if the city 279 00:17:32,560 --> 00:17:35,240 Speaker 1: isn't going to straighten it out of local politicians formed 280 00:17:35,520 --> 00:17:38,200 Speaker 1: in this case don't say this for political reasons. They're 281 00:17:38,200 --> 00:17:43,440 Speaker 1: all Democrats. They're liberal, left wing Democrats, and it's almost 282 00:17:43,440 --> 00:17:45,520 Speaker 1: like they think this is going to be this way forever. 283 00:17:45,600 --> 00:17:49,680 Speaker 1: Where in Chicago sixty eight people was shot and eighteen 284 00:17:49,760 --> 00:17:52,240 Speaker 1: died last week. We're not going to put up with that. 285 00:17:52,840 --> 00:17:55,560 Speaker 1: We're not going to put up with it. I hope 286 00:17:55,600 --> 00:17:58,520 Speaker 1: the President's able to take action on this. They should 287 00:17:58,560 --> 00:18:02,119 Speaker 1: send in additional federal law enforcement to assist clear the 288 00:18:02,200 --> 00:18:06,680 Speaker 1: Chicago Police Department is incapable of bringing that violence curve down. 289 00:18:07,760 --> 00:18:10,480 Speaker 1: If this is really about black lives as we are 290 00:18:10,560 --> 00:18:14,159 Speaker 1: told it is, and saving black lives, then the focus 291 00:18:14,240 --> 00:18:18,440 Speaker 1: should be on where are lives being lost every single day? 292 00:18:19,040 --> 00:18:22,520 Speaker 1: Not once every three to six months from the hand 293 00:18:22,680 --> 00:18:25,840 Speaker 1: at the hands of a police officer, but every single day. 294 00:18:27,000 --> 00:18:31,159 Speaker 1: But once again, the Democrats don't care very much about that, 295 00:18:31,320 --> 00:18:35,880 Speaker 1: do they. Thanks for listening to the Buss and Show podcasts. 296 00:18:35,880 --> 00:18:39,679 Speaker 1: Remember to subscribe on Apple podcasts, the iHeartRadio app, or 297 00:18:39,720 --> 00:18:44,080 Speaker 1: wherever you get your podcasts. Oh, but the defund the 298 00:18:44,240 --> 00:18:48,480 Speaker 1: cops movement hasn't actually really happened yet. They'll say the 299 00:18:48,600 --> 00:18:52,480 Speaker 1: budgets may have been changed, but the funding doesn't change 300 00:18:52,520 --> 00:18:55,119 Speaker 1: for a while. To that, I just want to point 301 00:18:55,160 --> 00:18:59,359 Speaker 1: out that it's not just about the dollars and cents 302 00:18:59,400 --> 00:19:02,960 Speaker 1: being taken out a police budgets. It's also about the 303 00:19:03,000 --> 00:19:05,720 Speaker 1: message that it sends. It's about the message that it 304 00:19:05,800 --> 00:19:08,359 Speaker 1: sends on the streets to the bad guys, to the 305 00:19:08,400 --> 00:19:11,600 Speaker 1: cops who are the ones that have to make those, 306 00:19:12,080 --> 00:19:14,720 Speaker 1: in the heat of the moment, high risk decisions about 307 00:19:14,800 --> 00:19:17,280 Speaker 1: what level of forced to use, what bad guy to 308 00:19:17,359 --> 00:19:21,840 Speaker 1: chase down the alleyway or not. How aggressive is their 309 00:19:21,960 --> 00:19:26,040 Speaker 1: policing going to be against violent felons, or they're gonna say, look, 310 00:19:26,119 --> 00:19:29,359 Speaker 1: unless we've got no choice, we're just not really going 311 00:19:29,400 --> 00:19:35,040 Speaker 1: to exert ourselves to enforce the enforce the law. And 312 00:19:35,359 --> 00:19:38,160 Speaker 1: because they don't want to get arrested themselves and put 313 00:19:38,160 --> 00:19:41,040 Speaker 1: on some kind of a public show trial with people 314 00:19:41,080 --> 00:19:43,680 Speaker 1: like Deblasio who are just looking for cops to make 315 00:19:43,720 --> 00:19:47,520 Speaker 1: examples of. All the time, it used to be understood 316 00:19:47,520 --> 00:19:50,119 Speaker 1: that if a cop was acting in good faith and 317 00:19:50,400 --> 00:19:54,920 Speaker 1: applying his training properly, you know, it's not it's never 318 00:19:55,280 --> 00:19:57,880 Speaker 1: it's never a pretty thing. This is what libs don't 319 00:19:57,880 --> 00:19:59,879 Speaker 1: want to believe. It's never a pretty thing. When you 320 00:20:00,000 --> 00:20:03,320 Speaker 1: you see someone who is fighting a cop to get 321 00:20:03,359 --> 00:20:06,720 Speaker 1: taken down to the pavement and handcuffed, it doesn't look 322 00:20:07,160 --> 00:20:10,919 Speaker 1: like you know, two people in Western Europe having an 323 00:20:11,119 --> 00:20:15,520 Speaker 1: espresso and having a nice chat. People are going to 324 00:20:15,600 --> 00:20:18,639 Speaker 1: get hurt. There's going to be some you know, some 325 00:20:18,680 --> 00:20:21,200 Speaker 1: cuts and bruises that happen. This is the this is 326 00:20:21,240 --> 00:20:24,919 Speaker 1: the day to day reality of law enforcement, which is 327 00:20:24,960 --> 00:20:28,360 Speaker 1: why part of the movement that we should be having 328 00:20:28,400 --> 00:20:30,760 Speaker 1: if we're really going to talk about criminal justice reform 329 00:20:30,800 --> 00:20:34,960 Speaker 1: and discussions is how to interact with cops. That's actually 330 00:20:34,960 --> 00:20:38,359 Speaker 1: an important thing to understand. And I know people don't 331 00:20:38,440 --> 00:20:42,080 Speaker 1: usually talk about this, but every every cop that I know, 332 00:20:42,160 --> 00:20:44,680 Speaker 1: and I've I've got a cop in my family, I've 333 00:20:44,680 --> 00:20:46,919 Speaker 1: worked at the NYPD. I mean, I know a lot 334 00:20:46,960 --> 00:20:51,240 Speaker 1: of cops. They will tell you that when respect is given, 335 00:20:51,320 --> 00:20:55,080 Speaker 1: respect is reciprocated, and that's just the nature of police 336 00:20:55,080 --> 00:20:59,879 Speaker 1: civilian interactions. When disrespect is the first thing that is 337 00:21:00,040 --> 00:21:03,199 Speaker 1: on the cop, that then shows a mentality that they 338 00:21:03,200 --> 00:21:08,359 Speaker 1: will often react to more aggressively because one they're trying 339 00:21:08,359 --> 00:21:11,199 Speaker 1: to establish control and some authority in a situation, and 340 00:21:11,280 --> 00:21:14,800 Speaker 1: two they want to go home that night. The cop 341 00:21:14,880 --> 00:21:18,040 Speaker 1: wants to go home to his or her you know, family. 342 00:21:18,800 --> 00:21:21,600 Speaker 1: They don't want this, And that's another part of the 343 00:21:21,600 --> 00:21:26,879 Speaker 1: discussion that is never never prominent enough. The cops, you 344 00:21:27,320 --> 00:21:29,320 Speaker 1: want to pull their gun and use it on somebody, 345 00:21:29,840 --> 00:21:34,320 Speaker 1: it's even if they absolutely have no choice but to 346 00:21:34,359 --> 00:21:38,720 Speaker 1: do that, it's a nightmare. You know, they're gonna get investigated, 347 00:21:38,720 --> 00:21:41,800 Speaker 1: They're gonna get put on you know, on desk duty, 348 00:21:41,920 --> 00:21:45,159 Speaker 1: or or just you know, suspended with paypenning investigation, and 349 00:21:45,320 --> 00:21:48,320 Speaker 1: you know they might get sued in civil cordy even 350 00:21:48,480 --> 00:21:51,840 Speaker 1: it's it's a nightmare. They do not want to do that. 351 00:21:52,080 --> 00:21:55,720 Speaker 1: They all know that there is no jurisdiction in the country, like, yeah, 352 00:21:55,760 --> 00:21:58,679 Speaker 1: you know, just pull the trigger on a guy today, 353 00:21:58,800 --> 00:22:02,600 Speaker 1: no big deal, you know, just hap. No, that's not true. 354 00:22:03,680 --> 00:22:06,160 Speaker 1: But we never get to have a discussion about this 355 00:22:06,320 --> 00:22:08,240 Speaker 1: the way it is we have discussions the way the 356 00:22:08,320 --> 00:22:11,199 Speaker 1: media reflects this, and I mean the cowards in our 357 00:22:11,240 --> 00:22:15,680 Speaker 1: mainstream media who would call the cops the instant, the 358 00:22:15,760 --> 00:22:20,280 Speaker 1: instant that they heard some ruffians walking across the backyard 359 00:22:20,320 --> 00:22:24,119 Speaker 1: of their Hampton's estate. Who good heavens. Oh yeah, it 360 00:22:24,160 --> 00:22:26,560 Speaker 1: sounds like some fraternity brothers are running through the yard 361 00:22:26,600 --> 00:22:29,840 Speaker 1: for a prank. Call the police, you know that's who's 362 00:22:29,880 --> 00:22:33,920 Speaker 1: telling you. Yeah, defund the cops. Defund the cops. Sure 363 00:22:33,960 --> 00:22:38,199 Speaker 1: they are. Police Commissioner Dermot Shay has said that they 364 00:22:38,200 --> 00:22:41,560 Speaker 1: are going too far now with the politics against the cops, 365 00:22:42,119 --> 00:22:46,320 Speaker 1: and he said that the anti cops sentiment, anti cops sentiment, 366 00:22:46,400 --> 00:22:50,440 Speaker 1: not just anti police brutality from the George Floyd protests 367 00:22:51,200 --> 00:22:55,040 Speaker 1: are being used to further political agendas. Oh wow, you 368 00:22:55,040 --> 00:22:57,080 Speaker 1: mean the police commissioner of the biggest police force in 369 00:22:57,119 --> 00:23:00,640 Speaker 1: the country under a far left Democrat or has finally 370 00:23:00,640 --> 00:23:03,119 Speaker 1: had enough, and it's like, this is just about hating cops. 371 00:23:04,320 --> 00:23:06,959 Speaker 1: That's what this is. This is just about hating cops 372 00:23:07,000 --> 00:23:13,240 Speaker 1: for some people and mobilizing people with that hatred. The masses, 373 00:23:13,800 --> 00:23:17,560 Speaker 1: the anti Trump Trump de range left with this as 374 00:23:17,600 --> 00:23:22,440 Speaker 1: their main point of entry, with this as their rallying cry. 375 00:23:23,080 --> 00:23:26,480 Speaker 1: And the people that that officer Jackson in Portland mentioned, 376 00:23:26,920 --> 00:23:30,560 Speaker 1: particularly black and brown individuals, who want to have a 377 00:23:30,640 --> 00:23:33,840 Speaker 1: constructive dialogue with police and want to express their concerns 378 00:23:33,840 --> 00:23:36,480 Speaker 1: and reservations to cops. And I'm sure some of them 379 00:23:36,480 --> 00:23:38,800 Speaker 1: have had poor treatment at the hands of police. We 380 00:23:38,880 --> 00:23:42,200 Speaker 1: know that that happens, though of course, no question those 381 00:23:42,280 --> 00:23:45,720 Speaker 1: voices have been marginalized, pushed aside. This isn't about a 382 00:23:45,720 --> 00:23:50,000 Speaker 1: constructive dialogue, come on, of course not. This is about 383 00:23:50,400 --> 00:23:56,520 Speaker 1: crazy Wellesley masters, engenders, studies grads screaming in the face 384 00:23:56,600 --> 00:23:59,960 Speaker 1: of police officers that they are betrayed. Their people are about. 385 00:24:00,560 --> 00:24:03,160 Speaker 1: That's what this is about. That's what you see at 386 00:24:03,200 --> 00:24:06,480 Speaker 1: these protests. Okay, let's be honest. I've been to them, 387 00:24:06,680 --> 00:24:11,240 Speaker 1: and I've been doing nothing but watching and covering them. 388 00:24:11,440 --> 00:24:15,800 Speaker 1: It's insane. So you got the NYPD commissioner telling us 389 00:24:15,880 --> 00:24:18,520 Speaker 1: what we know, but affirming it. This is about politics, 390 00:24:18,720 --> 00:24:22,560 Speaker 1: the anti cop stuff BLM is not. You know that 391 00:24:22,720 --> 00:24:26,200 Speaker 1: these protests they're not making anything better with their occupied 392 00:24:26,359 --> 00:24:29,960 Speaker 1: zone in DC and the disaster in Seattle or people 393 00:24:30,080 --> 00:24:33,000 Speaker 1: died because of that, People lost their lives because a 394 00:24:33,040 --> 00:24:36,040 Speaker 1: bunch of left wing morons thought that creating a police 395 00:24:36,080 --> 00:24:41,000 Speaker 1: free zone was a good idea. And then you have 396 00:24:42,400 --> 00:24:46,880 Speaker 1: the agenda of the Democrat Party. What are the Democrats 397 00:24:46,960 --> 00:24:50,000 Speaker 1: you remember, there's there's always it's like, think of it 398 00:24:50,040 --> 00:24:55,919 Speaker 1: like the IRA the Irish Republican Army and chin Fain, right. 399 00:24:55,960 --> 00:25:00,920 Speaker 1: They the political arm of the terrorist group. That's that's 400 00:25:00,920 --> 00:25:03,359 Speaker 1: they have to think of elected Democrats in office. So 401 00:25:03,480 --> 00:25:08,840 Speaker 1: you have the street you know, the street paramilitaries of Antifa. 402 00:25:08,960 --> 00:25:11,440 Speaker 1: You have these people that are doing, you know, using 403 00:25:11,560 --> 00:25:18,080 Speaker 1: violence and coercion and threats and mob mentality to get 404 00:25:18,119 --> 00:25:20,760 Speaker 1: attention and to push issues. And then the Democrats in 405 00:25:20,800 --> 00:25:24,440 Speaker 1: elected office in their fancy building in DC and wherever 406 00:25:24,520 --> 00:25:27,600 Speaker 1: else in state capitals across the country, they're supposed to 407 00:25:27,600 --> 00:25:32,840 Speaker 1: translate this into legislation that benefits the left. So this 408 00:25:32,960 --> 00:25:35,000 Speaker 1: is just one hand washing the other. This is the 409 00:25:35,040 --> 00:25:39,239 Speaker 1: one two punch of the Marxists that we see in 410 00:25:39,240 --> 00:25:44,240 Speaker 1: our own midst. And here's Chuck Schumer com coming through, 411 00:25:44,320 --> 00:25:47,639 Speaker 1: coming through today with exactly what you'd expect from Fox 412 00:25:47,680 --> 00:25:51,600 Speaker 1: News quote. Senate Democrats released a three hundred and fifty 413 00:25:52,080 --> 00:25:58,440 Speaker 1: billion dollars plan to tackle systemic racism and historic under 414 00:25:58,560 --> 00:26:02,600 Speaker 1: investment in communities of color that have been a hit 415 00:26:02,840 --> 00:26:07,480 Speaker 1: hardest by the coronavirus pandemic and economic downturn. The Economic 416 00:26:07,640 --> 00:26:11,520 Speaker 1: Justice Act calls for ten major investments over the next 417 00:26:11,560 --> 00:26:16,480 Speaker 1: five years to help communities of color with childcare, healthcare, 418 00:26:16,640 --> 00:26:22,880 Speaker 1: jobs programs, infrastructure improvements, and housing assistants. Senate Democrats frame 419 00:26:22,960 --> 00:26:25,840 Speaker 1: their proposal as a down payment, so it's just a 420 00:26:25,880 --> 00:26:30,640 Speaker 1: beginning on calls to address systemic racism and economic disparities 421 00:26:30,840 --> 00:26:33,360 Speaker 1: that have been spotlighted in the wake of the coronavirus 422 00:26:33,400 --> 00:26:36,480 Speaker 1: pandemic and death of George Floyd. There's a growing movement 423 00:26:36,560 --> 00:26:41,080 Speaker 1: underway for Congress to tackle these disparities through slavery reparations 424 00:26:41,320 --> 00:26:46,800 Speaker 1: to African Americans. This is the Chuck Schumer statement, long 425 00:26:46,840 --> 00:26:49,720 Speaker 1: before the pandemic, long before the recession, long before this 426 00:26:49,800 --> 00:26:53,000 Speaker 1: year's protest. Structural inequalities have persisted in healthcare and housing, 427 00:26:53,359 --> 00:26:57,600 Speaker 1: the economy, and education. End quote, pay off the base, folks, 428 00:26:58,600 --> 00:27:01,840 Speaker 1: that's what this is. Schumer is letting no, this is 429 00:27:01,880 --> 00:27:04,399 Speaker 1: not going to go through the Senate. Republicans are not 430 00:27:04,440 --> 00:27:06,960 Speaker 1: going to go along with this, obviously, but this is 431 00:27:07,000 --> 00:27:09,040 Speaker 1: this is now where you see what the real game 432 00:27:09,040 --> 00:27:13,280 Speaker 1: plan is. Now with people all all angry and talking 433 00:27:13,320 --> 00:27:17,200 Speaker 1: about this and racial tensions at this very high point, 434 00:27:17,760 --> 00:27:19,880 Speaker 1: Democrats are saying, yeah, you know what we need to do. 435 00:27:20,240 --> 00:27:22,960 Speaker 1: We just need to write a check from the taxpayers 436 00:27:23,000 --> 00:27:27,760 Speaker 1: Bank account for three hundred and fifty billion dollars to 437 00:27:28,040 --> 00:27:32,960 Speaker 1: tackle systemic racism, write a check to UH to communities 438 00:27:32,960 --> 00:27:36,639 Speaker 1: of color, and make sure that they come out in 439 00:27:36,720 --> 00:27:40,240 Speaker 1: full force for Democrats this fall. There's a payoff. This 440 00:27:40,400 --> 00:27:43,760 Speaker 1: when when I told you there's this mobilization. This has 441 00:27:43,760 --> 00:27:46,520 Speaker 1: been the plan all along, right, this is what we 442 00:27:46,840 --> 00:27:50,520 Speaker 1: knew that that Democrats weren't going to be able to 443 00:27:50,520 --> 00:27:53,800 Speaker 1: do anything to make people safer or tackle tackle police 444 00:27:53,840 --> 00:27:55,800 Speaker 1: issues in a meaningful way. That was all just a 445 00:27:55,880 --> 00:28:00,439 Speaker 1: smoke screen. They are look Justice, Scalia wrote in an 446 00:28:00,480 --> 00:28:02,800 Speaker 1: affirmtive action decision for the Supreme Court of the Racial 447 00:28:02,920 --> 00:28:06,320 Speaker 1: Entitlement State. Senate Democrats are saying, we need to just 448 00:28:06,320 --> 00:28:11,760 Speaker 1: start paying people, giving people more resources based upon skin color. 449 00:28:12,119 --> 00:28:15,040 Speaker 1: That is what they are saying. This is money for 450 00:28:15,680 --> 00:28:19,399 Speaker 1: communities of color. We want to shovel money to communities 451 00:28:19,440 --> 00:28:24,840 Speaker 1: of color. Whatever happened to equal protection under the law? 452 00:28:25,160 --> 00:28:28,359 Speaker 1: I mean, this is we've gone so far beyond this now. 453 00:28:28,400 --> 00:28:34,119 Speaker 1: Oh and even reparations. They're talking about reparations now, which 454 00:28:34,280 --> 00:28:37,000 Speaker 1: we know will continue to come up. Here. This is 455 00:28:37,320 --> 00:28:42,600 Speaker 1: classic quid pro quo power politics. This is the Democrats saying, 456 00:28:42,640 --> 00:28:47,000 Speaker 1: all right, so the communities of color in this country 457 00:28:47,280 --> 00:28:53,440 Speaker 1: have been their issue of police tension has been exploited 458 00:28:53,480 --> 00:28:57,640 Speaker 1: by the Democrats, predominantly by white liberals all across America. 459 00:28:57,720 --> 00:29:00,840 Speaker 1: This issue has been exploited, and so now we're just 460 00:29:00,920 --> 00:29:03,160 Speaker 1: going to say, let's give a lot of money to 461 00:29:03,360 --> 00:29:06,280 Speaker 1: those communities in the hopes that they will of course 462 00:29:06,320 --> 00:29:11,240 Speaker 1: come out and vote in the highest possible numbers this fall. 463 00:29:11,600 --> 00:29:15,080 Speaker 1: This is a payoff. This is a payoff. That's what 464 00:29:15,160 --> 00:29:17,640 Speaker 1: it's all now you're seeing with this was all really about. 465 00:29:18,920 --> 00:29:22,920 Speaker 1: It's not about making people safer on the streets. It's 466 00:29:22,920 --> 00:29:27,280 Speaker 1: not about stopping police violence. It's about creating the political 467 00:29:27,320 --> 00:29:31,600 Speaker 1: momentum for Democrats like Pelosi and Schumer to promise to 468 00:29:31,760 --> 00:29:35,720 Speaker 1: just flood left wing interests, particularly in communities of color. 469 00:29:36,160 --> 00:29:39,960 Speaker 1: But you just start writing checks out of your out 470 00:29:39,960 --> 00:29:43,400 Speaker 1: of your checkbook as the taxpayer to interests in groups 471 00:29:43,400 --> 00:29:47,680 Speaker 1: that they like. That's what that's always that and the 472 00:29:47,880 --> 00:29:50,800 Speaker 1: electoral impact that that promise has was always with this 473 00:29:50,960 --> 00:29:54,040 Speaker 1: was about so now now we're now it's all coming together. 474 00:29:54,120 --> 00:29:57,520 Speaker 1: Now we're seeing it all As for this as a 475 00:29:57,640 --> 00:30:02,440 Speaker 1: justice movement, it's a fraud. So fraud. And what's what's 476 00:30:02,440 --> 00:30:04,600 Speaker 1: also sad is that even if they were to spend 477 00:30:05,720 --> 00:30:08,920 Speaker 1: whatever this is, three hundred and fifty billion dollars, You 478 00:30:08,920 --> 00:30:11,880 Speaker 1: think that Congress, you think that the Congress with Democrats leading, 479 00:30:12,040 --> 00:30:14,760 Speaker 1: are going to spend three hundred and fifty billion dollars 480 00:30:14,840 --> 00:30:19,600 Speaker 1: and systemic inequality goes away or racism evaporates. No, it's 481 00:30:19,640 --> 00:30:22,200 Speaker 1: just as they said, it's a down payment. The next 482 00:30:22,200 --> 00:30:23,680 Speaker 1: call will be for half a trillion, and then a 483 00:30:23,760 --> 00:30:25,520 Speaker 1: call after that will be for it. It's just about 484 00:30:26,200 --> 00:30:30,120 Speaker 1: this is white liberals atop the Democrat Party finding out 485 00:30:30,120 --> 00:30:33,920 Speaker 1: ways to stay in power by writing checks as payoffs 486 00:30:34,160 --> 00:30:38,360 Speaker 1: to constituencies that they have convinced have no other choice 487 00:30:38,360 --> 00:30:41,320 Speaker 1: in the political system and need to support them and 488 00:30:41,360 --> 00:30:44,320 Speaker 1: will get paid for their trouble. That's what's going on. 489 00:30:47,000 --> 00:30:49,959 Speaker 1: You're in the Freedom hud. This is the Buck Sexton 490 00:30:50,040 --> 00:30:57,360 Speaker 1: Show podcast. And what else are the Libs offering other 491 00:30:57,400 --> 00:31:02,280 Speaker 1: than payoffs to their base with the taxpayers footing the bill. 492 00:31:02,440 --> 00:31:05,920 Speaker 1: What else are they promising they will do? This fall 493 00:31:07,080 --> 00:31:12,400 Speaker 1: well on the energy proposal from Biden, because remember climate 494 00:31:12,480 --> 00:31:15,880 Speaker 1: change and renewable energy, green energy, the Green New Deal 495 00:31:16,720 --> 00:31:21,080 Speaker 1: are these are points of religious fervor for Democrats. You 496 00:31:21,120 --> 00:31:23,720 Speaker 1: can't have a normal conversation with them what makes sense 497 00:31:23,760 --> 00:31:26,360 Speaker 1: what doesn't, because we're all gonna die. And as we 498 00:31:26,400 --> 00:31:30,520 Speaker 1: listen to Gretta Thornberg, remember that the same people will 499 00:31:30,560 --> 00:31:32,400 Speaker 1: tell you they believe in science. So like listen to 500 00:31:32,440 --> 00:31:35,760 Speaker 1: the sixteen year old high school dropout about how we 501 00:31:35,800 --> 00:31:40,440 Speaker 1: should spend trillions of dollars of money because of an 502 00:31:40,480 --> 00:31:44,000 Speaker 1: incredibly complicated scientific issue for which there is no There 503 00:31:44,080 --> 00:31:47,720 Speaker 1: is neither a crisis nor a cure. So that's how 504 00:31:47,760 --> 00:31:52,240 Speaker 1: it is. But here you have the Here you have 505 00:31:52,280 --> 00:31:55,320 Speaker 1: Trump pointing this out. I think rightly play clip twelve. 506 00:31:55,680 --> 00:32:00,200 Speaker 1: Biden wants to massively reregulate the energy economy, rejoin into 507 00:32:00,240 --> 00:32:05,000 Speaker 1: Paris Climate Accord, which would kill our energy totally and 508 00:32:05,080 --> 00:32:07,800 Speaker 1: you'd have to close twenty five percent of your businesses 509 00:32:08,240 --> 00:32:12,040 Speaker 1: and kill oil and gas development. They still haven't explained 510 00:32:12,080 --> 00:32:15,120 Speaker 1: what they're gonna do to power our great plants and factories, 511 00:32:15,440 --> 00:32:17,600 Speaker 1: but at some point I'm sure they will. We'll learn 512 00:32:17,680 --> 00:32:21,760 Speaker 1: that from AOC who's in charge of energy. She's in 513 00:32:21,840 --> 00:32:24,520 Speaker 1: charge along with Bernie. It's AOC and Bernie are in 514 00:32:24,600 --> 00:32:28,360 Speaker 1: charge of energy. I don't think Texas is too happy 515 00:32:28,400 --> 00:32:30,920 Speaker 1: about that. What do you think you think we'll call 516 00:32:31,000 --> 00:32:34,200 Speaker 1: up the governor, Governor Abbot great governor will ask how 517 00:32:34,200 --> 00:32:35,920 Speaker 1: do you like that? Governor? I don't think I didn't 518 00:32:35,920 --> 00:32:38,240 Speaker 1: want to waste the phone call because I would know 519 00:32:38,280 --> 00:32:41,320 Speaker 1: how he felt since he's talking about Texas and energy. 520 00:32:41,520 --> 00:32:44,600 Speaker 1: May was here from the Energy Secretary Texan Rick Perry 521 00:32:44,600 --> 00:32:48,720 Speaker 1: play seven. You know listening to that clip, that reminds 522 00:32:48,760 --> 00:32:52,120 Speaker 1: me of Joe Biden looking into the camera and telling 523 00:32:52,160 --> 00:32:54,800 Speaker 1: the NRA that I'm coming after you and I'm going 524 00:32:54,840 --> 00:32:57,760 Speaker 1: to get all your guns. He's looking into the eye 525 00:32:57,760 --> 00:33:01,320 Speaker 1: of the American energy industry and basic saying I'm coming 526 00:33:01,360 --> 00:33:03,840 Speaker 1: after you, and I'm gonna get all of your jobs 527 00:33:03,840 --> 00:33:08,480 Speaker 1: because that far left radical energy agenda that he talks 528 00:33:08,520 --> 00:33:12,600 Speaker 1: about will be a massive job killer. I mean hundreds 529 00:33:12,640 --> 00:33:16,200 Speaker 1: of thousands of jobs in the oil and gas industry, 530 00:33:16,200 --> 00:33:19,120 Speaker 1: in the coal industry, I mean all across the board. 531 00:33:19,120 --> 00:33:22,880 Speaker 1: I mean pipeline companies, the union jobs that are being 532 00:33:22,920 --> 00:33:26,280 Speaker 1: created out there. You know, if I'm a union guy 533 00:33:26,440 --> 00:33:30,280 Speaker 1: in the in the energy industry, I stay away from 534 00:33:30,400 --> 00:33:34,200 Speaker 1: Joe Biden like he's the plague. He's telling you the truth. 535 00:33:34,840 --> 00:33:38,800 Speaker 1: Ran There's gonna be enormous job losses, but also just 536 00:33:39,400 --> 00:33:42,720 Speaker 1: tremendous expense and cost for no benefit other than the 537 00:33:42,840 --> 00:33:46,320 Speaker 1: ideological benefit that democrats get from thinking that they're all 538 00:33:46,400 --> 00:33:54,840 Speaker 1: saving the planet. Was saving the planet? Yeah, Captive Planet, 539 00:33:54,880 --> 00:33:57,200 Speaker 1: you guys remember that was like it was actually a superhero. 540 00:33:57,200 --> 00:33:58,600 Speaker 1: It was not a very good cartoon, but I did 541 00:33:58,680 --> 00:33:59,959 Speaker 1: used to watch a lot of cartoons as the care 542 00:34:00,040 --> 00:34:04,520 Speaker 1: it called Captain Planet. He's always fighting against polluters, wasn't it? 543 00:34:04,560 --> 00:34:06,440 Speaker 1: Was it a good cartoon? Gi Joe was much better? 544 00:34:06,480 --> 00:34:09,359 Speaker 1: Can if Gijoe anymore? You know? Military guns? Oh no, 545 00:34:09,480 --> 00:34:13,120 Speaker 1: not allowed. Now it's all talenttubbies or whatever's cool now 546 00:34:13,160 --> 00:34:16,279 Speaker 1: for kids. Rick Perry's telling the truth. This is what's 547 00:34:16,280 --> 00:34:18,399 Speaker 1: going to happen. But Democrats are okay with that. Think 548 00:34:18,440 --> 00:34:21,439 Speaker 1: about the way that they have completely justified in their 549 00:34:21,480 --> 00:34:24,640 Speaker 1: minds the continued and we're about to talk about lockdown 550 00:34:24,640 --> 00:34:27,000 Speaker 1: on where we are with all that in the COVID era. 551 00:34:27,320 --> 00:34:30,920 Speaker 1: But they continued lockdown of the country because it is 552 00:34:30,920 --> 00:34:34,160 Speaker 1: obviously very bad for Trump if the country is locked down. 553 00:34:34,600 --> 00:34:36,680 Speaker 1: And even though there's a lot of suffering that will 554 00:34:36,719 --> 00:34:38,600 Speaker 1: happen because of this, even though there'll be a lot 555 00:34:38,600 --> 00:34:42,160 Speaker 1: of destroyed I mean, millions of people have jobs, lost, 556 00:34:42,280 --> 00:34:45,880 Speaker 1: businesses destroyed, maybe never come back. Bankruptcies are going to surge, 557 00:34:46,440 --> 00:34:49,799 Speaker 1: We're going we're going to be unraveling a lot of 558 00:34:49,800 --> 00:34:51,919 Speaker 1: the long term costs of these lockdowns in the months ahead. 559 00:34:51,960 --> 00:34:54,600 Speaker 1: No matter what, they're just adding to that tab. As 560 00:34:54,640 --> 00:34:57,680 Speaker 1: well as the undiagnosed cancer and the and the health 561 00:34:57,719 --> 00:35:00,560 Speaker 1: issues and the overdoses, drug overdoses, all these things we 562 00:35:00,600 --> 00:35:04,160 Speaker 1: see from lockdowns. Democrats are unbothered by all of that 563 00:35:04,520 --> 00:35:06,560 Speaker 1: because they know that it means Trump is in a 564 00:35:06,560 --> 00:35:09,120 Speaker 1: weaker position to get reelected. Yeah, and also some of 565 00:35:09,120 --> 00:35:11,399 Speaker 1: them are terrified of the virus because their own media 566 00:35:11,440 --> 00:35:13,799 Speaker 1: outlets are constantly telling them that a virus that has 567 00:35:13,800 --> 00:35:19,160 Speaker 1: a ninety nine point seven percent general general survivability rate 568 00:35:19,719 --> 00:35:23,680 Speaker 1: and over eighty percent I think is what I've seen recently. 569 00:35:23,719 --> 00:35:26,560 Speaker 1: If people have mild to no symptoms, who get it 570 00:35:27,680 --> 00:35:30,359 Speaker 1: that we should shut down the country again for they 571 00:35:30,400 --> 00:35:32,640 Speaker 1: want a national shutdown. Let's let's talk about that a 572 00:35:32,680 --> 00:35:36,200 Speaker 1: little bit. That's an important place to go. Thanks for 573 00:35:36,280 --> 00:35:40,000 Speaker 1: listening to The bus Esson Show podcasts. Remember to subscribe 574 00:35:40,000 --> 00:35:43,520 Speaker 1: on Apple podcasts, the iHeartRadio app, or wherever you get 575 00:35:43,560 --> 00:35:48,240 Speaker 1: your podcasts. It's gotten bad enough that even Donald Trump 576 00:35:48,920 --> 00:35:51,719 Speaker 1: finally decided to wear a mask in public. I'm glad 577 00:35:51,719 --> 00:35:55,920 Speaker 1: he made the shift. Mister president, is not enough. Who 578 00:35:55,960 --> 00:35:59,160 Speaker 1: won't be able to turn the corner and get American 579 00:35:59,200 --> 00:36:04,040 Speaker 1: people back to work safely without presidential leadership, Mister President, 580 00:36:04,360 --> 00:36:09,880 Speaker 1: Open everything now isn't a strategy for success? Is barely 581 00:36:09,960 --> 00:36:12,759 Speaker 1: a slogan. I mean, Joe Biden really sounds like he's 582 00:36:12,760 --> 00:36:14,759 Speaker 1: gonna fall asleep at the podium in any second when 583 00:36:14,760 --> 00:36:17,279 Speaker 1: he's talking, and I mean it's just gonna just it's 584 00:36:17,280 --> 00:36:19,719 Speaker 1: gonna accidentally smack his face down. On the on the 585 00:36:19,760 --> 00:36:24,080 Speaker 1: podium and be at naptime. Look, Democrats don't care. I 586 00:36:24,160 --> 00:36:27,360 Speaker 1: get it. We're all supposed to pretend like this isn't obscene. 587 00:36:27,400 --> 00:36:30,280 Speaker 1: It is obscene that this is their presidential candidate. It's obscene. 588 00:36:31,000 --> 00:36:33,880 Speaker 1: I mean, Hillary, say what you will? You know she 589 00:36:34,000 --> 00:36:35,520 Speaker 1: was sharp. You don't want to be on the wrong 590 00:36:35,560 --> 00:36:38,120 Speaker 1: side of her. Yeah, I definitely don't want to be 591 00:36:39,760 --> 00:36:42,880 Speaker 1: somebody that is on the bad side of the Clintons. 592 00:36:42,880 --> 00:36:44,560 Speaker 1: We could all make a lot of jokes about that. 593 00:36:44,640 --> 00:36:49,200 Speaker 1: I won't right now. Hollow, but at least she was 594 00:36:49,320 --> 00:36:51,960 Speaker 1: she was with it. Joe Biden is a is a 595 00:36:51,960 --> 00:36:55,240 Speaker 1: total figurehead for the party, which is why the Bernie 596 00:36:55,239 --> 00:37:00,319 Speaker 1: Sanders AOC input into his agenda is so concerning, because 597 00:37:00,320 --> 00:37:02,279 Speaker 1: that's going to be the agenda. We all know this. 598 00:37:02,360 --> 00:37:04,600 Speaker 1: There's no other agenda. There's no moderate agenda. The Democrat 599 00:37:04,640 --> 00:37:07,600 Speaker 1: Party more doesn't exist. They're just they're just putting out 600 00:37:07,640 --> 00:37:10,719 Speaker 1: the old you know, the old Biden guy out there. 601 00:37:10,840 --> 00:37:13,480 Speaker 1: So it seems like they're not trying to make the 602 00:37:13,520 --> 00:37:19,360 Speaker 1: country go socialist. But on the reopening point, increasingly what 603 00:37:19,480 --> 00:37:22,120 Speaker 1: I see here and I told you a couple of 604 00:37:22,120 --> 00:37:24,120 Speaker 1: exist said, well, we'll go back and revisit where we 605 00:37:24,120 --> 00:37:28,080 Speaker 1: are now, where you know, and we'll see who's right. 606 00:37:28,120 --> 00:37:32,360 Speaker 1: We'll see who's telling the truth. And this, this is 607 00:37:32,400 --> 00:37:35,680 Speaker 1: what I can tell you. It's not as bad as 608 00:37:35,719 --> 00:37:39,279 Speaker 1: the media is telling you, which is I'm sure not 609 00:37:39,360 --> 00:37:44,399 Speaker 1: surprising to any of you. M It's not as as 610 00:37:44,480 --> 00:37:46,200 Speaker 1: horrific as you've been led to leave. And there's a 611 00:37:46,200 --> 00:37:50,560 Speaker 1: lot of meaning this most recent search. The virus is 612 00:37:50,680 --> 00:37:52,120 Speaker 1: very bad. We all know that, but I mean what 613 00:37:52,360 --> 00:37:57,480 Speaker 1: we're seeing now in different hospitals. But the impetus for 614 00:37:57,680 --> 00:38:01,279 Speaker 1: clicks and for politics to lie about this or to 615 00:38:01,280 --> 00:38:05,080 Speaker 1: misrepresent the issue is so powerful that you can spend 616 00:38:05,120 --> 00:38:07,440 Speaker 1: all day just trying to chase down the truth, and 617 00:38:07,480 --> 00:38:09,640 Speaker 1: then there's already a whole new set of lies that 618 00:38:09,680 --> 00:38:12,719 Speaker 1: are out there. It's very hard to fight back against 619 00:38:12,760 --> 00:38:17,640 Speaker 1: just this fire hose of misinformation of disinformation about how 620 00:38:17,719 --> 00:38:20,040 Speaker 1: oh now we're in a second wave. Oh now we're 621 00:38:20,480 --> 00:38:23,120 Speaker 1: we're finally the back of the medical community is being 622 00:38:23,160 --> 00:38:28,040 Speaker 1: broken by this. It's not true. We have and accepting 623 00:38:28,080 --> 00:38:30,440 Speaker 1: the fatality numbers that come in, we have we have 624 00:38:30,480 --> 00:38:33,560 Speaker 1: well under a thousand fatalities. A few a couple of 625 00:38:33,600 --> 00:38:35,680 Speaker 1: days ago, it was more like in the four or 626 00:38:35,680 --> 00:38:38,080 Speaker 1: five hundred range. You know, some days at seven or 627 00:38:38,120 --> 00:38:42,319 Speaker 1: eight hundred. But we are not seeing anything close to 628 00:38:42,400 --> 00:38:45,520 Speaker 1: what we had at the real peak in New York, 629 00:38:46,480 --> 00:38:50,719 Speaker 1: where you had two to three thousand fatalities a day, 630 00:38:50,920 --> 00:38:54,120 Speaker 1: depending on whose numbers. Remember, these numbers are also imperfect. 631 00:38:55,440 --> 00:38:59,360 Speaker 1: You see these stories about completely overloaded hospitals in Houston 632 00:38:59,360 --> 00:39:02,480 Speaker 1: in particular, and in some places in the Orlando area 633 00:39:02,520 --> 00:39:05,359 Speaker 1: in Florida. That's also not true. No one has been 634 00:39:05,360 --> 00:39:09,440 Speaker 1: denied care. I see this. People say, oh, the emergency 635 00:39:09,520 --> 00:39:11,000 Speaker 1: rooms have a way time of up to two to 636 00:39:11,040 --> 00:39:14,360 Speaker 1: three hours. Emergency rooms always have a way time that 637 00:39:14,600 --> 00:39:18,120 Speaker 1: is forever. I mean, you know, it's amazing unless you 638 00:39:18,200 --> 00:39:21,080 Speaker 1: have a hatchet, you know, sticking out of the back 639 00:39:21,120 --> 00:39:22,799 Speaker 1: of your head when you go in, and even then 640 00:39:22,840 --> 00:39:25,319 Speaker 1: you might wait a little bit too long. Our emergency 641 00:39:25,440 --> 00:39:32,040 Speaker 1: rooms are not quick moving institutions unless they have absolutely 642 00:39:32,120 --> 00:39:36,040 Speaker 1: no choice. So that's one part of this. ICUs tend 643 00:39:36,080 --> 00:39:38,440 Speaker 1: to be at eighty to ninety percent capacity all the 644 00:39:38,480 --> 00:39:41,080 Speaker 1: time because to have think about this, how could you 645 00:39:41,120 --> 00:39:43,560 Speaker 1: have an ICU that's only ten or twenty percent full 646 00:39:43,880 --> 00:39:47,239 Speaker 1: and not run costs that would bankrupt the hospital. So 647 00:39:47,440 --> 00:39:50,880 Speaker 1: They're always trying to have ICUs that are getting full 648 00:39:51,040 --> 00:39:53,799 Speaker 1: usage and that have the necessary capacity and have a 649 00:39:53,840 --> 00:39:57,120 Speaker 1: surge capacity. But you don't run ICUs at forty percent 650 00:39:57,239 --> 00:39:59,560 Speaker 1: or thirty percent. People seem to think that hospitals try 651 00:39:59,600 --> 00:40:02,600 Speaker 1: to operate with nothing but empty beds everywhere getting ready 652 00:40:02,719 --> 00:40:05,879 Speaker 1: for No. No, We've gone through the whole empty bed 653 00:40:05,920 --> 00:40:08,560 Speaker 1: scenario in New York where we had the floating hospital 654 00:40:08,600 --> 00:40:10,200 Speaker 1: come up here from the Navy, and we had the 655 00:40:10,239 --> 00:40:12,640 Speaker 1: hospitals being set up in tents and Central Park and 656 00:40:13,080 --> 00:40:17,680 Speaker 1: the Javits Convention Center, thousands of beds almost entirely empty. 657 00:40:19,239 --> 00:40:21,879 Speaker 1: And think about what New York was going through the 658 00:40:21,920 --> 00:40:25,360 Speaker 1: worst of the pandemic, the worst of the deaths and 659 00:40:25,400 --> 00:40:30,400 Speaker 1: the numbers. But here here's what I'm I'm I'm confident of. 660 00:40:30,480 --> 00:40:32,640 Speaker 1: Right now, I can't tell you it's it's absolutely the case, 661 00:40:32,680 --> 00:40:35,040 Speaker 1: but I'm confident of We're going to see the case 662 00:40:35,200 --> 00:40:40,520 Speaker 1: number start to drop precipitously within ten days from now. Oh, 663 00:40:40,560 --> 00:40:43,879 Speaker 1: I mean cases are going to start to go down precipitously. 664 00:40:44,000 --> 00:40:48,080 Speaker 1: In the areas where you've had this search, you have 665 00:40:48,200 --> 00:40:51,479 Speaker 1: not had a huge, huge change in the way people 666 00:40:51,480 --> 00:40:53,840 Speaker 1: are living their lives. Yes, I know they've they've gotten 667 00:40:54,120 --> 00:40:57,280 Speaker 1: they've changed some indoor dining, they've made some some switches 668 00:40:57,320 --> 00:41:00,879 Speaker 1: here and there. But you're going to see this, You're 669 00:41:00,880 --> 00:41:03,640 Speaker 1: going to see the numbers start to go down, and 670 00:41:04,239 --> 00:41:06,600 Speaker 1: there's going to be this desperation to say, see it's 671 00:41:06,640 --> 00:41:09,160 Speaker 1: because we listen to the science and there were more masks. 672 00:41:09,280 --> 00:41:15,200 Speaker 1: That's just not that's not realistic. That's not true. This virus, increasingly, 673 00:41:15,239 --> 00:41:17,800 Speaker 1: when you look at the analysis of it from epidemiologists 674 00:41:17,800 --> 00:41:19,760 Speaker 1: who just feel the need to try to tell the truth, 675 00:41:20,600 --> 00:41:24,800 Speaker 1: may have a much lower may have a much lower 676 00:41:25,960 --> 00:41:30,879 Speaker 1: heard immunity threshold hi T is how this is abbreviated 677 00:41:31,640 --> 00:41:36,680 Speaker 1: in medical medical documents that you'll read. May have a 678 00:41:36,760 --> 00:41:39,680 Speaker 1: much lower herd immunity threshold than people realize. We've been 679 00:41:39,719 --> 00:41:41,880 Speaker 1: told that herd immunity you have to be sent seventy 680 00:41:41,920 --> 00:41:44,440 Speaker 1: to eighty percent of people would have to get infected 681 00:41:44,480 --> 00:41:49,160 Speaker 1: for true herd immunity. Okay, well think about this. If 682 00:41:49,160 --> 00:41:53,160 Speaker 1: they heard immunity threshold takes into account T cell immunity 683 00:41:53,239 --> 00:41:58,000 Speaker 1: for coronavirus general coronavirus exposure, it could actually be a 684 00:41:58,120 --> 00:42:02,000 Speaker 1: much lower number of infect did to get to that 685 00:42:02,080 --> 00:42:06,960 Speaker 1: herd immunity threshold. I'm seeing analyzes from doctors of something 686 00:42:07,000 --> 00:42:10,879 Speaker 1: more along lines of twenty twenty to thirty percent. New 687 00:42:10,960 --> 00:42:16,440 Speaker 1: York City already hit twenty percent based on prology testing. Okay, 688 00:42:16,760 --> 00:42:19,680 Speaker 1: New York City already was at a twenty percent infection rate, 689 00:42:20,560 --> 00:42:24,480 Speaker 1: and they did some pretty some pretty widespread zology testing. 690 00:42:25,800 --> 00:42:29,600 Speaker 1: And if you add to that T cell immunity, so 691 00:42:29,680 --> 00:42:32,280 Speaker 1: that's your you know, the white blood cells in your system, 692 00:42:32,320 --> 00:42:36,680 Speaker 1: their ability to go in and destroy the virus very quickly, 693 00:42:36,760 --> 00:42:41,360 Speaker 1: very early on in the infection, you may have. You 694 00:42:41,680 --> 00:42:43,919 Speaker 1: may have what is effectively herd immunity without us even 695 00:42:43,920 --> 00:42:46,560 Speaker 1: really knowing it. Which makes a lot of sense because 696 00:42:46,560 --> 00:42:48,840 Speaker 1: in New York I can tell you we were on 697 00:42:48,960 --> 00:42:52,320 Speaker 1: lockdown after there was this massive spread and the disease 698 00:42:52,400 --> 00:42:55,280 Speaker 1: kept kept getting spread, kept getting spread all over the place. 699 00:42:56,080 --> 00:42:58,640 Speaker 1: They act like, oh, you know, Cuomo, with all this stuff, 700 00:42:58,680 --> 00:43:01,279 Speaker 1: we brought down the curve, We did it. You yet 701 00:43:01,440 --> 00:43:03,560 Speaker 1: you listen to me, and no things are better. You 702 00:43:03,560 --> 00:43:06,120 Speaker 1: didn't listen to me, and bad things happen above. No, 703 00:43:07,840 --> 00:43:10,200 Speaker 1: that just doesn't that that doesn't bear any resemblance to 704 00:43:10,239 --> 00:43:12,279 Speaker 1: the reality that people like me we're living in at 705 00:43:12,280 --> 00:43:16,280 Speaker 1: the time where we were on total lockdown, all wearing masks, 706 00:43:16,480 --> 00:43:19,120 Speaker 1: and you still add cases all over all over the 707 00:43:19,160 --> 00:43:24,400 Speaker 1: Tristate area and a lot of fatalities. This virus, like 708 00:43:24,480 --> 00:43:28,520 Speaker 1: other viruses, goes into an area, it spreads among the 709 00:43:28,560 --> 00:43:32,279 Speaker 1: community until there's there it reaches a herd immunity threshold, 710 00:43:32,600 --> 00:43:36,279 Speaker 1: and then it moves on that. That seems to be 711 00:43:37,640 --> 00:43:41,440 Speaker 1: the only logical explanation for what is happening right now 712 00:43:41,640 --> 00:43:43,880 Speaker 1: and why places that have not had about a twenty 713 00:43:43,880 --> 00:43:46,240 Speaker 1: percent infection rate or seeing this huge spike in cases. 714 00:43:46,800 --> 00:43:49,799 Speaker 1: There is no hiding from the virus. There's no avoiding 715 00:43:49,800 --> 00:43:50,920 Speaker 1: the fact that there are going to be a lot 716 00:43:50,920 --> 00:43:54,920 Speaker 1: of infections. The smartest policy all along, the smartest policy 717 00:43:54,920 --> 00:43:57,839 Speaker 1: all along would have been to protect the vulnerable and 718 00:43:57,920 --> 00:44:03,000 Speaker 1: take basic mitigation measure is on a personal responsibility basis, 719 00:44:03,800 --> 00:44:06,319 Speaker 1: so that we didn't overload hospitals because that that that 720 00:44:06,640 --> 00:44:08,920 Speaker 1: was a possibility and it still is a possibility in 721 00:44:08,920 --> 00:44:11,960 Speaker 1: some places. All this other stuff about you got to 722 00:44:12,000 --> 00:44:15,000 Speaker 1: wear masks, outside mask, math mask, do what we say lockdown, 723 00:44:15,080 --> 00:44:19,960 Speaker 1: lockdown is just wrong, and that you're hearing a lot 724 00:44:20,040 --> 00:44:25,320 Speaker 1: less about Sweden right now, because Sweden was a place 725 00:44:25,920 --> 00:44:29,080 Speaker 1: that didn't do what it was supposed to do, which 726 00:44:29,239 --> 00:44:33,480 Speaker 1: was lockdown, and it's in the middle of the pack 727 00:44:33,560 --> 00:44:37,200 Speaker 1: for fatality ratio in Europe. But they're they're back to school, 728 00:44:37,520 --> 00:44:41,120 Speaker 1: eating in restaurants, back out at bars, and their fatalities 729 00:44:41,160 --> 00:44:44,560 Speaker 1: are at basically zero now and their cases have fallen 730 00:44:44,600 --> 00:44:48,719 Speaker 1: off a cliff and they've never locked down. Now. I know, 731 00:44:49,120 --> 00:44:51,120 Speaker 1: I people like to to think of, Oh, but Sweden 732 00:44:51,239 --> 00:44:53,560 Speaker 1: is a country where there's a Smurgish blurger. It's like 733 00:44:53,600 --> 00:44:56,160 Speaker 1: the special Swedish thing where everyone just does what they're told. 734 00:44:56,840 --> 00:45:01,520 Speaker 1: Give me a break. Okay, the Swedes didn't do what 735 00:45:01,560 --> 00:45:05,799 Speaker 1: the global health community was insisting they do, and the 736 00:45:05,840 --> 00:45:11,000 Speaker 1: country had a reasonable outcome under the circumstances and didn't 737 00:45:11,120 --> 00:45:14,279 Speaker 1: go through the same degree of insanity that a lot 738 00:45:14,320 --> 00:45:17,400 Speaker 1: of other places did. You know? There are Italian doctors 739 00:45:17,400 --> 00:45:19,920 Speaker 1: that you were not hearing from now who are saying, yeah, 740 00:45:19,920 --> 00:45:22,359 Speaker 1: this has essentially burned through our population. There are enough 741 00:45:22,400 --> 00:45:26,360 Speaker 1: people who might have Remember it's antibody, anti cell immunity, 742 00:45:26,400 --> 00:45:30,240 Speaker 1: those two things come on. I just asked a top 743 00:45:30,280 --> 00:45:33,960 Speaker 1: infectious disease doctor who's who I've known for a very 744 00:45:34,000 --> 00:45:36,839 Speaker 1: long time. I said, is this thesis plausible. He said, 745 00:45:36,880 --> 00:45:39,560 Speaker 1: it's entirely plausible. We need more testing to prove that 746 00:45:39,680 --> 00:45:42,960 Speaker 1: it's true, but this would be an answer what other 747 00:45:43,000 --> 00:45:45,880 Speaker 1: people are telling you. We just didn't wear enough masks, 748 00:45:46,200 --> 00:45:49,560 Speaker 1: we didn't listen to the science enough. There's just no 749 00:45:50,080 --> 00:45:54,080 Speaker 1: evidence supporting this. The theory doesn't hold together. It doesn't 750 00:45:54,080 --> 00:45:58,040 Speaker 1: make sense. We were all masked, we were all social 751 00:45:58,080 --> 00:46:00,719 Speaker 1: distancing in New York, and we got obliterated by this thing, 752 00:46:01,200 --> 00:46:03,960 Speaker 1: absolutely obliterated largely. I mean. One of the reasons that 753 00:46:04,000 --> 00:46:06,719 Speaker 1: the numbers were so high was because it got into 754 00:46:07,600 --> 00:46:11,719 Speaker 1: in part because of the decision of Governor Cuomo, which 755 00:46:11,760 --> 00:46:14,399 Speaker 1: is still the worst public health decision I've ever heard 756 00:46:14,400 --> 00:46:17,959 Speaker 1: of in my life and caused many people to lose 757 00:46:18,000 --> 00:46:21,080 Speaker 1: their lives. To send people with COVID nineteen into the 758 00:46:21,160 --> 00:46:25,040 Speaker 1: nursing homes, and then once it's in the nursing home, 759 00:46:25,360 --> 00:46:28,480 Speaker 1: it spreads like a highly infectious cold, but it can 760 00:46:28,560 --> 00:46:30,880 Speaker 1: kill people. That's what you're dealing with with COVID nineteen. 761 00:46:31,719 --> 00:46:33,520 Speaker 1: It's you know, think about when some of your office 762 00:46:33,520 --> 00:46:37,160 Speaker 1: has a cold. You know, people unless you have immunity 763 00:46:37,200 --> 00:46:39,200 Speaker 1: to it, unless you've already been exposed to that virus. 764 00:46:39,600 --> 00:46:41,080 Speaker 1: You know, people are going to be getting colds all 765 00:46:41,080 --> 00:46:42,719 Speaker 1: over the place. You know this, You've seen it, You've 766 00:46:42,760 --> 00:46:47,680 Speaker 1: dealt with it yourself. This is a This is the 767 00:46:47,719 --> 00:46:50,200 Speaker 1: only way that you can explain what has happened, and 768 00:46:50,600 --> 00:46:53,200 Speaker 1: that's that there were some parts of the country where 769 00:46:53,320 --> 00:46:56,480 Speaker 1: they had some infection level, but they had not yet 770 00:46:56,560 --> 00:47:00,320 Speaker 1: reached the threshold of a herd immunity level where finally 771 00:47:00,360 --> 00:47:04,560 Speaker 1: it dies off and goes down dramatically. Why is it 772 00:47:04,600 --> 00:47:07,040 Speaker 1: that they're there are European countries that are fully open 773 00:47:08,200 --> 00:47:11,040 Speaker 1: right now, I mean that are open, you know, back 774 00:47:11,200 --> 00:47:14,759 Speaker 1: kids in school, people eating in restaurants. You're gonna tell 775 00:47:14,880 --> 00:47:17,560 Speaker 1: me that, oh, they just obeyed so much better than 776 00:47:17,600 --> 00:47:20,000 Speaker 1: we did. This is the assumption you'll hear from lives 777 00:47:20,040 --> 00:47:22,160 Speaker 1: in this country. You know, they did their part to 778 00:47:22,480 --> 00:47:24,920 Speaker 1: take We haven't done our part yet. Did they do 779 00:47:25,000 --> 00:47:28,480 Speaker 1: their part in Italy and in Spain when there they 780 00:47:28,520 --> 00:47:32,280 Speaker 1: couldn't control the disease at all? What is more likely 781 00:47:32,480 --> 00:47:36,560 Speaker 1: that there's a natural progression of this virus that in 782 00:47:36,640 --> 00:47:40,279 Speaker 1: a community is going to occur and you do the 783 00:47:40,320 --> 00:47:43,160 Speaker 1: best you can to manage it, or that some place, 784 00:47:43,320 --> 00:47:47,320 Speaker 1: some places are just really great at handling this because 785 00:47:47,360 --> 00:47:49,960 Speaker 1: of reasons that no one can really point to, and 786 00:47:50,040 --> 00:47:51,759 Speaker 1: other places no one cares. They just want to They 787 00:47:51,800 --> 00:47:53,120 Speaker 1: just want to get the virus. They want to die. 788 00:47:55,680 --> 00:47:59,040 Speaker 1: I'm telling you that the the lower herd immunity threshold, 789 00:47:59,080 --> 00:48:02,880 Speaker 1: antibody and T cell immunity combined means that if you 790 00:48:02,960 --> 00:48:05,200 Speaker 1: have twenty percent of the population infected, and I remember 791 00:48:05,239 --> 00:48:08,479 Speaker 1: it's also that twenty percent that may be the most 792 00:48:08,560 --> 00:48:10,560 Speaker 1: likely because of where they work and what they do 793 00:48:10,600 --> 00:48:13,440 Speaker 1: and who they're engaging with, maybe the most among the 794 00:48:13,480 --> 00:48:16,600 Speaker 1: most likely people to get infected. But you reach that 795 00:48:16,719 --> 00:48:19,040 Speaker 1: level and there still will be people that get this, 796 00:48:19,320 --> 00:48:22,680 Speaker 1: but it's not going to have that same exponential spread. 797 00:48:22,960 --> 00:48:26,880 Speaker 1: It's going to keep running into running into blocks in 798 00:48:26,920 --> 00:48:31,799 Speaker 1: the passage of the disease. And we can only we're 799 00:48:31,840 --> 00:48:35,560 Speaker 1: only measuring for crology through the purology tests for antibodies, 800 00:48:35,640 --> 00:48:38,879 Speaker 1: not for T cell essentially white blood cell immunity, right 801 00:48:38,960 --> 00:48:41,880 Speaker 1: not not where we can find the antibody copies to 802 00:48:41,920 --> 00:48:44,120 Speaker 1: the virus. But we're not looking at T cell immunity, 803 00:48:44,160 --> 00:48:46,440 Speaker 1: and that's a thing that exists as well. This is 804 00:48:46,440 --> 00:48:48,399 Speaker 1: all established in the science. You can check this out 805 00:48:48,440 --> 00:48:51,760 Speaker 1: for yourself. So if you get to twenty percent antibodies 806 00:48:52,239 --> 00:48:55,840 Speaker 1: and maybe another twenty or thirty percent T cell immunity, 807 00:48:55,880 --> 00:48:58,160 Speaker 1: which some people that that means that they've already been 808 00:48:58,160 --> 00:49:00,040 Speaker 1: exposed to this virus in the past, may not have 809 00:49:00,160 --> 00:49:05,719 Speaker 1: even known it. Then you're at a place where the 810 00:49:05,800 --> 00:49:07,520 Speaker 1: spread of this disease it's still going to exist, It's 811 00:49:07,520 --> 00:49:09,080 Speaker 1: still going to be a threat, but it's not going 812 00:49:09,120 --> 00:49:15,920 Speaker 1: to completely overtake the population and overwhelm the system. With that, now, 813 00:49:15,960 --> 00:49:19,360 Speaker 1: let's talk about what the heck is Russia doing trying 814 00:49:19,400 --> 00:49:26,520 Speaker 1: to hack into our vaccine research. You're in the Freedom Hunt. 815 00:49:26,960 --> 00:49:34,319 Speaker 1: This is the Buck Sex and Show podcast. Russia has 816 00:49:34,400 --> 00:49:41,160 Speaker 1: been accused of trying to steal information about COVID nineteen vaccines. 817 00:49:41,560 --> 00:49:45,080 Speaker 1: A big news story that broke today. This is from Reuters. 818 00:49:45,760 --> 00:49:50,960 Speaker 1: The Britain's National Cybersecurity Center said on Thursday that Russian 819 00:49:50,960 --> 00:49:53,960 Speaker 1: backed hackers were trying to steal COVID nineteen vaccine and 820 00:49:54,040 --> 00:49:57,960 Speaker 1: treatment research from institutions around the world. The UK, the US, 821 00:49:58,000 --> 00:50:01,040 Speaker 1: and Candidate released a coordinated state which said the attacks 822 00:50:01,040 --> 00:50:04,839 Speaker 1: are being carried out by a group called APT twenty nine, 823 00:50:04,960 --> 00:50:08,040 Speaker 1: also known as Cozy Bear. Remember this, we talk about 824 00:50:08,080 --> 00:50:10,960 Speaker 1: this on the show Cozy Bear not to be confused 825 00:50:11,000 --> 00:50:14,800 Speaker 1: with Fazzy Bear. The NCSC said, it's almost certain that 826 00:50:16,239 --> 00:50:20,280 Speaker 1: plus that Cozy Bear is part of the Russian intelligence services. 827 00:50:20,280 --> 00:50:25,719 Speaker 1: So Russian intelligence trying to hack in to COVID nineteen research. 828 00:50:25,920 --> 00:50:29,080 Speaker 1: Why why would that be something? Well, it's quite obvious, 829 00:50:29,160 --> 00:50:35,799 Speaker 1: right vaccination vaccination research and the actual vaccines that may 830 00:50:35,800 --> 00:50:40,880 Speaker 1: be coming online. There is going to be an enormous 831 00:50:41,640 --> 00:50:46,040 Speaker 1: incentive for countries to be able to be ahead of 832 00:50:46,080 --> 00:50:50,960 Speaker 1: others on having immunity in their population from the vaccine. 833 00:50:51,280 --> 00:50:53,640 Speaker 1: And just think of what that will do for growth 834 00:50:53,719 --> 00:50:56,840 Speaker 1: and for economic activity. Think of it because because it 835 00:50:56,840 --> 00:51:01,839 Speaker 1: can take months to create enough vaccine for your population. 836 00:51:02,000 --> 00:51:04,560 Speaker 1: So put aside for a second, which place is because 837 00:51:04,560 --> 00:51:06,680 Speaker 1: they can't measure it yet, which places might be at 838 00:51:06,920 --> 00:51:10,640 Speaker 1: at limited or total herd immunity thresholds they're going to 839 00:51:10,760 --> 00:51:13,280 Speaker 1: there's gonna be a public perception that you need this 840 00:51:13,760 --> 00:51:18,919 Speaker 1: vaccination in mass dosage to return to normal life if 841 00:51:18,960 --> 00:51:24,680 Speaker 1: your country is three months, six months, ten months ahead 842 00:51:24,680 --> 00:51:26,759 Speaker 1: of another country when it comes to you, because you 843 00:51:26,800 --> 00:51:29,200 Speaker 1: know you're going to see nationalism kick up here a lot, 844 00:51:29,239 --> 00:51:32,480 Speaker 1: that's for sure. Any American company that's making vaccines. We're 845 00:51:32,520 --> 00:51:35,839 Speaker 1: gonna want them. Hear first. This is true. It's true 846 00:51:35,880 --> 00:51:38,799 Speaker 1: all over the world, you know. And as much as 847 00:51:38,800 --> 00:51:40,960 Speaker 1: we'd like to think that they can just manufacture billions 848 00:51:40,960 --> 00:51:42,840 Speaker 1: of doses of the vaccine and get them to everyone, 849 00:51:43,080 --> 00:51:45,480 Speaker 1: it's gonna it's gonna be an enormous logistical challenge. This 850 00:51:45,480 --> 00:51:48,759 Speaker 1: stuff takes time. This stuff isn't going to be I 851 00:51:48,800 --> 00:51:50,560 Speaker 1: know there's operation warp speed, but it's not going to 852 00:51:50,600 --> 00:51:54,919 Speaker 1: be that simple. So getting the vaccine. And I also 853 00:51:55,000 --> 00:51:56,600 Speaker 1: think the Russians will be like Wood. The one tough 854 00:51:56,719 --> 00:51:59,160 Speaker 1: uticities on the million people, you'd say, is he's working. 855 00:51:59,200 --> 00:52:03,440 Speaker 1: Did they throw where you there? You go Multiland and 856 00:52:03,520 --> 00:52:07,960 Speaker 1: pertained like oh if the controlled stud detrial vaccine boom 857 00:52:08,000 --> 00:52:11,279 Speaker 1: in ze m, now you're good. That's the plan. They're 858 00:52:11,280 --> 00:52:12,799 Speaker 1: gonna be like, oh, we're gonna be We're gonna start 859 00:52:12,840 --> 00:52:15,320 Speaker 1: making vaccine now as soon as they get in, and 860 00:52:15,360 --> 00:52:18,880 Speaker 1: I'll start making it and get ready to go. So 861 00:52:20,239 --> 00:52:22,920 Speaker 1: now for Russia, you might think, okay, well, we're so 862 00:52:22,960 --> 00:52:26,040 Speaker 1: far ahead of Russia and we'll probably be selling them 863 00:52:26,120 --> 00:52:28,360 Speaker 1: vaccine very soon or sending it to them or whatever. 864 00:52:30,719 --> 00:52:35,359 Speaker 1: What about China? All along, China has been leveraging this 865 00:52:35,440 --> 00:52:38,640 Speaker 1: crisis for its own purposes, trying to use this as 866 00:52:38,640 --> 00:52:43,120 Speaker 1: a means of getting further or of getting further along 867 00:52:43,160 --> 00:52:47,720 Speaker 1: than other countries faster, because there is there is huge 868 00:52:47,840 --> 00:52:52,560 Speaker 1: economic advantage. Think about what a country can do with 869 00:52:52,600 --> 00:52:56,040 Speaker 1: its economy turned on and functioning at full blast, six 870 00:52:56,120 --> 00:52:59,520 Speaker 1: with six months lead time on another economy. All that 871 00:52:59,520 --> 00:53:02,960 Speaker 1: production and all that market share, all that wealth creation. 872 00:53:04,160 --> 00:53:06,200 Speaker 1: Right when you start to look at this in the 873 00:53:06,239 --> 00:53:09,600 Speaker 1: balance of powers around the world and you see what 874 00:53:09,680 --> 00:53:12,480 Speaker 1: the Chinese government has done, there's certainly going to want 875 00:53:12,480 --> 00:53:16,000 Speaker 1: to get their population vaccinated and back to work and 876 00:53:16,080 --> 00:53:20,000 Speaker 1: manufacturing and doing all those things before other countries do. 877 00:53:20,640 --> 00:53:22,719 Speaker 1: There's going to be a race to see who can 878 00:53:22,760 --> 00:53:25,759 Speaker 1: get this done the fastest, because then that country will 879 00:53:25,840 --> 00:53:30,040 Speaker 1: have a tremendous economic advantage and who knows, you know, 880 00:53:30,239 --> 00:53:32,680 Speaker 1: who knows how long it will last and what that 881 00:53:32,719 --> 00:53:36,000 Speaker 1: will lead to. But there's a there are strategic, national 882 00:53:36,040 --> 00:53:41,360 Speaker 1: security and just great power implications of getting the vaccine 883 00:53:41,719 --> 00:53:46,960 Speaker 1: first and fastest. We'll see. Thanks for listening to the 884 00:53:48,200 --> 00:53:51,719 Speaker 1: Remember to subscribe on Apple podcasts, the iHeart radio app, 885 00:53:51,920 --> 00:53:56,880 Speaker 1: or wherever you get your podcasts. Since we're talking about hacking. 886 00:53:56,920 --> 00:53:59,279 Speaker 1: We've also got to spend a couple of minutes here 887 00:53:59,320 --> 00:54:04,800 Speaker 1: addressing a pretty pretty crazy moment in time yesterday when 888 00:54:05,320 --> 00:54:10,120 Speaker 1: some of the biggest Twitter accounts in the world with 889 00:54:10,440 --> 00:54:15,200 Speaker 1: tens of millions of followers, we're part of a massive 890 00:54:15,400 --> 00:54:20,640 Speaker 1: hack scheme you had. I'm just trying to think of something. Oh, 891 00:54:20,680 --> 00:54:22,560 Speaker 1: here we go. Here the names you had, the Twitter 892 00:54:22,600 --> 00:54:29,320 Speaker 1: accounts of Bill Gates, Jeff Bezos, Elon Musk, and Joe 893 00:54:29,400 --> 00:54:39,040 Speaker 1: Biden all hacked and putting out this this request for bitcoin. 894 00:54:39,200 --> 00:54:42,160 Speaker 1: I mean, it was a very obvious, you know, it was, Hello, 895 00:54:42,320 --> 00:54:44,480 Speaker 1: this is Joe Biden, and I want to give back. 896 00:54:45,160 --> 00:54:48,319 Speaker 1: Please add some bitcoin into my bitcoin wallet below, and 897 00:54:48,360 --> 00:54:50,560 Speaker 1: I will give you even more bitcoin in return. I mean, 898 00:54:50,560 --> 00:54:54,800 Speaker 1: this is not a sophisticated a sophisticated ploy in that sense. 899 00:54:55,040 --> 00:54:57,600 Speaker 1: I mean, to hack into this stuff seems pretty sophisticated. 900 00:54:58,560 --> 00:55:03,000 Speaker 1: But sure enough they estimate that one hundred thousand dollars 901 00:55:04,160 --> 00:55:10,879 Speaker 1: was donate, was donated, was was fraudulently acquired through this 902 00:55:11,480 --> 00:55:14,839 Speaker 1: through this mechanism. So because I remember seeing this, I 903 00:55:14,880 --> 00:55:16,840 Speaker 1: was like, oh, come on, Joe Biden's Twitter account has 904 00:55:16,880 --> 00:55:20,480 Speaker 1: really been hacked. Oh yes, and Bezos and Bill Gates 905 00:55:20,560 --> 00:55:24,640 Speaker 1: and Elon Musk, these huge, huge names. This is a reminder. 906 00:55:24,680 --> 00:55:27,760 Speaker 1: I mean, you know, the President does communications on Twitter 907 00:55:27,840 --> 00:55:32,160 Speaker 1: that even have legal implications. If the President says someone's 908 00:55:32,160 --> 00:55:34,600 Speaker 1: pardoned on Twitter, is that person pardoned? For example? You 909 00:55:34,600 --> 00:55:38,600 Speaker 1: know the this it's all official archive, it's all part 910 00:55:38,600 --> 00:55:40,960 Speaker 1: of the you know, official archive now and people look 911 00:55:41,000 --> 00:55:43,200 Speaker 1: at this and it can direct the whole news cycle. 912 00:55:44,600 --> 00:55:49,959 Speaker 1: We it's cybersecurity on things like this have enormous implications. 913 00:55:51,120 --> 00:55:53,600 Speaker 1: It could have Think about this, what would have happened 914 00:55:53,640 --> 00:55:57,560 Speaker 1: if someone had hacked into Elon Musk's Twitter account Let's 915 00:55:57,600 --> 00:55:59,600 Speaker 1: just say, which we know they had access to it. 916 00:55:59,640 --> 00:56:03,520 Speaker 1: They did into it, and instead of saying give me 917 00:56:03,880 --> 00:56:07,080 Speaker 1: one hundred thousand, give me bitcoin, which was, as I said, 918 00:56:07,200 --> 00:56:11,040 Speaker 1: really not a particularly clever approach, but it worked to 919 00:56:11,080 --> 00:56:13,560 Speaker 1: some degree, give me bitcoin, I'm Elon Musk. What if 920 00:56:13,600 --> 00:56:15,520 Speaker 1: Elon Musk as someone had hacked the Twitter account and 921 00:56:15,520 --> 00:56:19,160 Speaker 1: he had said, I can't take it anymore. My whole 922 00:56:19,160 --> 00:56:21,680 Speaker 1: company is built on a fraud. We've been cooking the 923 00:56:21,719 --> 00:56:24,759 Speaker 1: books for six months. I'm sorry, you know, I'm going 924 00:56:24,840 --> 00:56:27,560 Speaker 1: to go off into the woods. Now. What if someone 925 00:56:27,600 --> 00:56:30,399 Speaker 1: had hacked into his account? And tweeted that out the 926 00:56:30,520 --> 00:56:35,360 Speaker 1: stock price would look like it had fallen off a cliff. 927 00:56:35,680 --> 00:56:40,200 Speaker 1: I mean, the the amount of wealth that would change hands. 928 00:56:40,360 --> 00:56:43,800 Speaker 1: I mean billions of billions of dollars. I mean that's you. 929 00:56:43,960 --> 00:56:46,960 Speaker 1: You would see nothing like that, And how do you 930 00:56:47,000 --> 00:56:49,480 Speaker 1: stop that? And what do you Also? What do you 931 00:56:49,560 --> 00:56:52,719 Speaker 1: tell people that sold their stock in a panic and 932 00:56:52,800 --> 00:56:54,840 Speaker 1: maybe you know, either took a loss on it or 933 00:56:55,200 --> 00:56:58,120 Speaker 1: no longer own it and now hit you know, I'm 934 00:56:58,160 --> 00:57:00,480 Speaker 1: just that that's just one example. That's an obvious example. 935 00:57:01,000 --> 00:57:04,000 Speaker 1: What if someone had hacked into President Trump's Twitter account 936 00:57:04,719 --> 00:57:09,440 Speaker 1: and had said, you know, we are I regret to 937 00:57:09,480 --> 00:57:13,799 Speaker 1: inform the American people we're under attack or you know, 938 00:57:13,960 --> 00:57:16,760 Speaker 1: a big, a big terrorist attack. I'm using this platform 939 00:57:16,800 --> 00:57:19,080 Speaker 1: to let you know a big terrorist attack is going 940 00:57:19,120 --> 00:57:22,200 Speaker 1: to hit New York City in a matter of hours. Everyone, 941 00:57:22,680 --> 00:57:27,280 Speaker 1: you know, please evacuate. You know. Yeah, some people would 942 00:57:27,320 --> 00:57:30,120 Speaker 1: look at this and say, I mean kind of you know, 943 00:57:30,160 --> 00:57:33,360 Speaker 1: and they're the administration would put another statement, but there 944 00:57:33,360 --> 00:57:35,960 Speaker 1: would be people running for the exits, and I mean 945 00:57:35,960 --> 00:57:38,960 Speaker 1: a lot of them. So these companies, these social media 946 00:57:39,000 --> 00:57:41,320 Speaker 1: platforms that we usually think of, you know, this stuff 947 00:57:41,320 --> 00:57:44,600 Speaker 1: really started out for people to. I mean, Facebook really 948 00:57:44,600 --> 00:57:46,560 Speaker 1: started out so guys could see what pretty girls were 949 00:57:46,560 --> 00:57:49,800 Speaker 1: in their class in college. That's just the truth. I 950 00:57:50,360 --> 00:57:53,640 Speaker 1: started out in at Amherst and there was something called 951 00:57:53,880 --> 00:57:56,480 Speaker 1: the Facebook that they gave us. It was an actual 952 00:57:56,560 --> 00:58:00,040 Speaker 1: book of face photos of all of your classmates. And 953 00:58:00,080 --> 00:58:03,400 Speaker 1: that's how the idea came to Mark Zuckerberg for Facebook. 954 00:58:04,040 --> 00:58:06,000 Speaker 1: So I remember I had that, and my school was 955 00:58:06,560 --> 00:58:09,920 Speaker 1: one of the earlier ones to have this this online 956 00:58:10,440 --> 00:58:12,360 Speaker 1: you know thing called the Facebook. I remember it was 957 00:58:12,400 --> 00:58:16,560 Speaker 1: the Facebook at the time, and that's you know that 958 00:58:16,640 --> 00:58:19,200 Speaker 1: this is what brought about this social media revolution. But 959 00:58:19,280 --> 00:58:22,680 Speaker 1: we usually think of social media as you know, cat 960 00:58:22,840 --> 00:58:25,439 Speaker 1: cat videos. I posted a photo of Telula today. See 961 00:58:25,480 --> 00:58:27,840 Speaker 1: if you follow me on Instagram at buck Sexton, you'll 962 00:58:27,840 --> 00:58:30,000 Speaker 1: see these things. But if you don't, you're missing out 963 00:58:30,000 --> 00:58:33,160 Speaker 1: on some good to Lula content. And so, you know, 964 00:58:33,200 --> 00:58:36,360 Speaker 1: I see all this stuff that people are posting, and 965 00:58:36,400 --> 00:58:39,160 Speaker 1: you usually think of it's okay communication For journalists, it's 966 00:58:39,160 --> 00:58:43,080 Speaker 1: a way for them to virtue signal to each other 967 00:58:43,320 --> 00:58:46,120 Speaker 1: and bicker with each other and do the pylons about 968 00:58:46,120 --> 00:58:49,800 Speaker 1: who's not woken up. But it also is a mass 969 00:58:49,880 --> 00:58:53,720 Speaker 1: communication device. I mean Twitter for the president is kind 970 00:58:53,720 --> 00:58:55,720 Speaker 1: of like a PA system from the president in the 971 00:58:55,760 --> 00:58:59,000 Speaker 1: Oval office to the whole world, and it's instantaneous and 972 00:58:59,000 --> 00:59:02,560 Speaker 1: there's no filter. So I just think it was a 973 00:59:02,600 --> 00:59:07,800 Speaker 1: reminder for many of us how powerful these different, these 974 00:59:07,800 --> 00:59:11,400 Speaker 1: different digital social media platforms have become. I mean, they 975 00:59:11,400 --> 00:59:14,280 Speaker 1: can change world events. And then when you start to 976 00:59:14,320 --> 00:59:19,480 Speaker 1: also think about how there are admins in Twitter and 977 00:59:19,520 --> 00:59:24,840 Speaker 1: Twitter confirmed this that the the way that this social 978 00:59:24,880 --> 00:59:28,040 Speaker 1: engineering hack worked. They didn't go after the specific they 979 00:59:28,040 --> 00:59:32,480 Speaker 1: didn't go after the accounts directly. They got access to 980 00:59:32,720 --> 00:59:35,840 Speaker 1: people who work for Twitter. They target people who work 981 00:59:35,920 --> 00:59:40,920 Speaker 1: for Twitter who had access to these accounts. So you 982 00:59:41,000 --> 00:59:43,959 Speaker 1: got to remember that there are human beings who work 983 00:59:43,960 --> 00:59:49,280 Speaker 1: at Twitter who have full access, the total and complete 984 00:59:49,320 --> 00:59:52,200 Speaker 1: ability to go into the Twitter accounts of the most 985 00:59:52,200 --> 00:59:55,160 Speaker 1: powerful people in the world and write whatever they want 986 00:59:55,200 --> 00:59:58,600 Speaker 1: and see whatever they want. That's did we ever really 987 00:59:58,600 --> 01:00:02,439 Speaker 1: think about that? You know, there are people who can 988 01:00:02,520 --> 01:00:05,919 Speaker 1: see you know whatever. Yeah, sure, maybe they It would 989 01:00:05,960 --> 01:00:08,800 Speaker 1: be a little too obvious to go looking at Donald 990 01:00:08,800 --> 01:00:14,000 Speaker 1: Trump's DMS. I bet that's interesting. WHOA But I bet 991 01:00:14,040 --> 01:00:17,240 Speaker 1: if you if you were to think about this, you know, 992 01:00:17,280 --> 01:00:20,960 Speaker 1: Twitter as the ability I mean they've effectively created the 993 01:00:21,080 --> 01:00:25,960 Speaker 1: largest surveillance the largest self induced surveillance operation and history. 994 01:00:26,000 --> 01:00:28,600 Speaker 1: Same thing with Facebook, all your stuff you're putting there, 995 01:00:28,600 --> 01:00:31,480 Speaker 1: all stuff. Yeah, they're monetizing your data. There's that privacy violation, 996 01:00:31,800 --> 01:00:33,720 Speaker 1: But ultimately, there are also people in the in the 997 01:00:33,760 --> 01:00:36,720 Speaker 1: back end of these websites who can see everything you do, 998 01:00:37,000 --> 01:00:39,640 Speaker 1: who knew every click you've made, every message you've sent, 999 01:00:40,320 --> 01:00:44,200 Speaker 1: and when you're talking about you know, corporate or political leadership, 1000 01:00:45,960 --> 01:00:49,560 Speaker 1: there are there are some real there are some real 1001 01:00:49,640 --> 01:00:53,000 Speaker 1: implications for all this, my friends. So they apparently got 1002 01:00:53,160 --> 01:00:55,200 Speaker 1: control back. I think all the blue checks for a while. 1003 01:00:55,240 --> 01:00:56,680 Speaker 1: I wasn't on Twitter when this happened, but all the 1004 01:00:56,680 --> 01:00:58,880 Speaker 1: blue checks got kicked off for a bit, or that 1005 01:00:58,920 --> 01:01:01,720 Speaker 1: they shut down blue check Twitter, which means when you're 1006 01:01:01,800 --> 01:01:06,120 Speaker 1: verified fancy or verify Twitter. Um, I got a blue check, 1007 01:01:06,160 --> 01:01:10,640 Speaker 1: you know, NBD. But now it's all back. Now it's 1008 01:01:10,640 --> 01:01:13,800 Speaker 1: all back. I got to watch this stuff. Our whole 1009 01:01:13,840 --> 01:01:15,960 Speaker 1: world especially, and as we're getting used to being a 1010 01:01:16,000 --> 01:01:19,560 Speaker 1: lockdown and all this stuff, you see the world is 1011 01:01:19,600 --> 01:01:22,160 Speaker 1: just zeros, and the world is controlled by zeros and ones. 1012 01:01:22,240 --> 01:01:27,680 Speaker 1: Now you're in the freedom heart. This is the buck 1013 01:01:27,760 --> 01:01:34,320 Speaker 1: Sexton Show podcast. I don't have any intention of budding 1014 01:01:34,440 --> 01:01:37,120 Speaker 1: any heads. If we but any heads, it's going to 1015 01:01:37,200 --> 01:01:39,720 Speaker 1: be over the safety of our children. You know, my 1016 01:01:39,760 --> 01:01:43,520 Speaker 1: whole purpose in politics are the three most important issues 1017 01:01:43,560 --> 01:01:48,280 Speaker 1: facing the Congress Our children, our children, our children. And 1018 01:01:48,320 --> 01:01:51,520 Speaker 1: that's where I bud heads. That's the hill I fight on. 1019 01:01:52,120 --> 01:01:55,760 Speaker 1: I just I just can't care. Hey, I care about 1020 01:01:55,760 --> 01:02:00,080 Speaker 1: the children, the children, the children. It's it's like a 1021 01:02:00,200 --> 01:02:03,320 Speaker 1: record that has skipped the children. How many times have 1022 01:02:03,360 --> 01:02:07,640 Speaker 1: I told you that this is Nancy Pelosi's favorite ploy 1023 01:02:07,880 --> 01:02:10,680 Speaker 1: is this is her favorite thing. I just I just care. 1024 01:02:10,840 --> 01:02:16,000 Speaker 1: It's about the children. Yeah, anytime any politician says it's 1025 01:02:16,000 --> 01:02:18,960 Speaker 1: for your safety or it's for the children, ask more questions. 1026 01:02:19,000 --> 01:02:22,640 Speaker 1: That's a rule. Ask more questions. What really for the children? 1027 01:02:24,200 --> 01:02:28,920 Speaker 1: How is shutting down schools, Nancy? If you epic fraud, 1028 01:02:29,560 --> 01:02:34,320 Speaker 1: how is shutting down schools for the children When children 1029 01:02:34,400 --> 01:02:41,040 Speaker 1: are at almost zero, almost zero risk of dying from 1030 01:02:41,160 --> 01:02:45,160 Speaker 1: or even getting severely ill. Right with adults, we look 1031 01:02:45,160 --> 01:02:48,440 Speaker 1: at deaths and mortalities, and that's the single most important metric, 1032 01:02:48,480 --> 01:02:51,160 Speaker 1: But there's also hospitalizations. When when I say children are 1033 01:02:51,200 --> 01:02:53,360 Speaker 1: at almost zero risk from COVID. I don't mean they're 1034 01:02:53,360 --> 01:02:56,919 Speaker 1: at zero risk of just at zero risk of dying 1035 01:02:57,000 --> 01:03:01,960 Speaker 1: or almost zero substantially than the flu, which we consider 1036 01:03:01,960 --> 01:03:03,920 Speaker 1: to be an acceptable risk for children to be in 1037 01:03:03,960 --> 01:03:06,919 Speaker 1: school and have for the last hundred years. Okay, so 1038 01:03:06,960 --> 01:03:12,040 Speaker 1: it's effectively zero risk of dying. And then you add 1039 01:03:12,080 --> 01:03:15,800 Speaker 1: to that they're at also effectively zero risk of hospitalization 1040 01:03:16,280 --> 01:03:20,760 Speaker 1: or serious illness. So what is the problem for kids? 1041 01:03:21,640 --> 01:03:26,320 Speaker 1: Aren't schools essential businesses? So to speak? We can tell 1042 01:03:26,360 --> 01:03:30,200 Speaker 1: people who work in grocery stores and truckers, God bless 1043 01:03:30,240 --> 01:03:32,920 Speaker 1: you across the country. You got to do your job. 1044 01:03:34,240 --> 01:03:38,920 Speaker 1: But teachers don't have to do their job. Why is 1045 01:03:38,960 --> 01:03:43,120 Speaker 1: that if a teacher is in a high risk category 1046 01:03:43,200 --> 01:03:46,960 Speaker 1: fight because of age or health concern, that teacher should 1047 01:03:46,960 --> 01:03:49,680 Speaker 1: be they should be special accommodations made for that teacher 1048 01:03:50,000 --> 01:03:53,160 Speaker 1: to teach from home and wait until they're comfortable, or 1049 01:03:53,200 --> 01:03:56,920 Speaker 1: there's a vaccine, or whatever the case may be. If 1050 01:03:56,960 --> 01:03:58,840 Speaker 1: you're a teacher and you're under forty, which a vast 1051 01:03:58,880 --> 01:04:03,400 Speaker 1: majority of K through twelve teachers are, guess what, go teach. 1052 01:04:04,320 --> 01:04:06,800 Speaker 1: You're gonna be fine. You're gonna be just as fine 1053 01:04:06,840 --> 01:04:08,560 Speaker 1: as you would be going into school yearn and year 1054 01:04:08,600 --> 01:04:12,000 Speaker 1: out where kids can get other diseases. You know, kids 1055 01:04:12,000 --> 01:04:14,640 Speaker 1: can be vectors. Kids can be vectors for example of 1056 01:04:14,680 --> 01:04:22,000 Speaker 1: influenza there, so they're at almost no risk of spreading it, 1057 01:04:22,120 --> 01:04:25,760 Speaker 1: almost no risk of hospitalization, and almost no risk of dying. 1058 01:04:26,560 --> 01:04:29,360 Speaker 1: But we have to keep being told by complete and 1059 01:04:29,400 --> 01:04:35,960 Speaker 1: income poops like Pelosi that it's about children. It is 1060 01:04:36,080 --> 01:04:41,200 Speaker 1: not about the children. It's about everything but the children. Unfortunately, 1061 01:04:41,240 --> 01:04:48,160 Speaker 1: it's very, very frustrating. What's Lindsey Graham doing these days? 1062 01:04:49,480 --> 01:04:52,520 Speaker 1: Is he out there telling us all about how he 1063 01:04:52,560 --> 01:04:55,760 Speaker 1: wants to He's gonna get accountability and he's gonna he's 1064 01:04:55,760 --> 01:04:58,480 Speaker 1: gonna get to the bottom of it. You know, has 1065 01:04:58,480 --> 01:05:00,760 Speaker 1: he been on Fox News in five minutes? Because if not, 1066 01:05:01,360 --> 01:05:03,000 Speaker 1: that's the longest He hasn't been on Fox in a 1067 01:05:03,040 --> 01:05:06,200 Speaker 1: long time. What exactly is Lindsey Graham doing? Oh, he 1068 01:05:06,240 --> 01:05:10,120 Speaker 1: doesn't like when anyone is criticizing the vouch, that's for sure. 1069 01:05:10,240 --> 01:05:13,680 Speaker 1: Play clip eighteen. Well, here's what I said about doctor Fouci. 1070 01:05:13,720 --> 01:05:15,320 Speaker 1: He's been around a long time. It's one of the 1071 01:05:15,320 --> 01:05:17,840 Speaker 1: smartest people I know. Has he been right all the time? No, 1072 01:05:18,480 --> 01:05:21,280 Speaker 1: we don't have a doctor Fauci problem. We need to 1073 01:05:21,280 --> 01:05:23,680 Speaker 1: be focusing on doing things that get us to where 1074 01:05:23,680 --> 01:05:26,280 Speaker 1: we need to go. So I have all the respect 1075 01:05:26,280 --> 01:05:29,560 Speaker 1: in the world for doctor Fauci. I think any effort 1076 01:05:29,600 --> 01:05:33,600 Speaker 1: to undermine him is not going to be productive. Quite frankly, 1077 01:05:35,480 --> 01:05:38,840 Speaker 1: is it undermining to point out that the vouch is 1078 01:05:38,880 --> 01:05:41,640 Speaker 1: out there and he's making all these prognosticated do this, 1079 01:05:41,760 --> 01:05:45,960 Speaker 1: do that, don't do this, don't do that. I'm here, 1080 01:05:46,760 --> 01:05:50,480 Speaker 1: I'm a doctor. You gotta listen to me. It's all 1081 01:05:50,520 --> 01:05:53,880 Speaker 1: about the social distance. Six feet five feet, three feet 1082 01:05:54,040 --> 01:05:56,800 Speaker 1: one foot. Who knows, but let's say six six and 1083 01:05:56,920 --> 01:05:59,600 Speaker 1: nice round number. You know, you get six eggs, half 1084 01:05:59,600 --> 01:06:02,640 Speaker 1: a dozen, and you get six cookies. That's a lot 1085 01:06:02,640 --> 01:06:06,680 Speaker 1: of cookies. But they're good. I like cookies. So you know, 1086 01:06:06,720 --> 01:06:08,280 Speaker 1: I'm not telling you what to do. I'm just telling 1087 01:06:08,320 --> 01:06:10,640 Speaker 1: you do what I say, or you're probably gonna die. 1088 01:06:11,080 --> 01:06:13,479 Speaker 1: That's that's that is that is that too much to ask? 1089 01:06:13,560 --> 01:06:16,360 Speaker 1: Do what I say, or you and your grandparents are 1090 01:06:16,400 --> 01:06:19,200 Speaker 1: gonna die. That's that's the fact. That's the Fauci way. 1091 01:06:19,320 --> 01:06:22,360 Speaker 1: We're not allowed to ask questions, allowed to say why 1092 01:06:22,400 --> 01:06:23,960 Speaker 1: why are we still listening to this guy about this? 1093 01:06:25,120 --> 01:06:28,200 Speaker 1: Why haven't I heard him talk about her immunity. Why 1094 01:06:28,240 --> 01:06:30,840 Speaker 1: haven't I heard him address this theory that I'm seeing 1095 01:06:30,880 --> 01:06:39,120 Speaker 1: proposed by doctors, including doctor Yonidas at Stanford University Medical School, 1096 01:06:39,960 --> 01:06:41,880 Speaker 1: who is one of the most revered epidemiologist in the 1097 01:06:41,880 --> 01:06:43,960 Speaker 1: world who's always talking about not just the the He 1098 01:06:44,080 --> 01:06:48,280 Speaker 1: was a big early voice on the fatality rate issue, 1099 01:06:49,040 --> 01:06:52,880 Speaker 1: but also on on you know, how we can deal 1100 01:06:52,960 --> 01:06:57,600 Speaker 1: with this and how shutdowns are counterproductive and crazy. It's crazy. 1101 01:06:57,960 --> 01:07:01,080 Speaker 1: You're not stopping the virus. The virus spreads, and once 1102 01:07:01,120 --> 01:07:03,240 Speaker 1: it's spread, then you shut down, and then you're just 1103 01:07:03,320 --> 01:07:06,680 Speaker 1: dealing with the virus that's already in the community. It's 1104 01:07:06,720 --> 01:07:12,560 Speaker 1: too late, you know. And the Princess Cruise Ship, which 1105 01:07:12,600 --> 01:07:15,680 Speaker 1: you would think would have been a perfect I mean, 1106 01:07:15,680 --> 01:07:17,600 Speaker 1: it's effectively a floating peatree dish. I know, it's a 1107 01:07:17,640 --> 01:07:20,240 Speaker 1: horrible thing to think about, but it's true. And that 1108 01:07:20,280 --> 01:07:23,240 Speaker 1: cruise ship you had. Everyone kept looking at the fatality rate, 1109 01:07:23,280 --> 01:07:25,320 Speaker 1: and doctor Unitis at Stanford did that. He looked at 1110 01:07:25,320 --> 01:07:27,480 Speaker 1: the fatality rate and the cruise ship and figured out 1111 01:07:27,480 --> 01:07:30,320 Speaker 1: that it's considerably lower than what we remember. At one point, 1112 01:07:30,360 --> 01:07:32,320 Speaker 1: we were being told it's like three or four percent, 1113 01:07:32,560 --> 01:07:37,160 Speaker 1: which is Spanish flu epidemic nineteen eighteen, millions dead. That's 1114 01:07:37,160 --> 01:07:39,000 Speaker 1: what we were being told. Two million people in America, 1115 01:07:39,000 --> 01:07:40,240 Speaker 1: We're going to die from this. That's what they were 1116 01:07:40,240 --> 01:07:44,400 Speaker 1: telling us. But Unitis, I'm not sure I'm pronouncing his 1117 01:07:44,480 --> 01:07:46,320 Speaker 1: name right. It sounds like I'm talking about the football guy. 1118 01:07:46,360 --> 01:07:51,200 Speaker 1: But it's it's not elitism. He also looked at he 1119 01:07:51,240 --> 01:07:53,640 Speaker 1: looked at the Princess Cruise data. There were I think 1120 01:07:53,640 --> 01:07:56,560 Speaker 1: the the if memory serves, the infection rate was only 1121 01:07:56,600 --> 01:08:01,320 Speaker 1: about twenty percent. So what's more likely that one in 1122 01:08:01,400 --> 01:08:04,360 Speaker 1: five people just happen to be without knowing that they 1123 01:08:04,360 --> 01:08:08,040 Speaker 1: were even being exposed the virus? You know, mitigating wearing 1124 01:08:08,080 --> 01:08:10,600 Speaker 1: a mask, Handwhy no, they weren't doing any of those things, 1125 01:08:10,880 --> 01:08:13,640 Speaker 1: So why didn't they get sick. That's where you get 1126 01:08:13,680 --> 01:08:17,000 Speaker 1: into built in T cell immunity and the body's natural 1127 01:08:17,040 --> 01:08:20,040 Speaker 1: response to pathoges and viruses, where some people may just 1128 01:08:20,080 --> 01:08:23,280 Speaker 1: be more susceptible to this than others, and that there 1129 01:08:23,320 --> 01:08:26,559 Speaker 1: may already be a much broader immunity out there that 1130 01:08:26,640 --> 01:08:29,000 Speaker 1: people have, and maybe it's not a total immunity, but 1131 01:08:29,000 --> 01:08:32,160 Speaker 1: it's the body's ability to come into contact with this 1132 01:08:32,240 --> 01:08:37,479 Speaker 1: and not have a real infection manifest itself because of 1133 01:08:37,520 --> 01:08:41,519 Speaker 1: their immune capabilities. We know that comorbidities make it much worse. 1134 01:08:41,920 --> 01:08:44,200 Speaker 1: So if your immune system is weak, we know you're 1135 01:08:44,200 --> 01:08:46,479 Speaker 1: in really bad shape if you get this. But if 1136 01:08:46,479 --> 01:08:48,680 Speaker 1: your immune system is strong, and particularly if it has 1137 01:08:48,680 --> 01:08:52,519 Speaker 1: already come into contact with enough coronaviruses before, again, why 1138 01:08:52,520 --> 01:08:54,639 Speaker 1: would only twenty percent I think it was even seventeen 1139 01:08:54,680 --> 01:09:00,000 Speaker 1: percent of the Princess Cruise ship overall have been posed 1140 01:09:00,240 --> 01:09:03,479 Speaker 1: with COVID nineteen. It's a question that people these are 1141 01:09:03,479 --> 01:09:05,920 Speaker 1: the we should think through these things and get answers 1142 01:09:05,920 --> 01:09:08,719 Speaker 1: and not just say we're a face diaper or else. 1143 01:09:09,439 --> 01:09:11,200 Speaker 1: That's what we're all being told. We're a face diaper 1144 01:09:11,280 --> 01:09:13,880 Speaker 1: outside too. Look, you want to wear an inside, I 1145 01:09:13,920 --> 01:09:15,320 Speaker 1: get it a little, you know, that's I don't think 1146 01:09:15,320 --> 01:09:17,400 Speaker 1: that's to wear this outside all the time in the 1147 01:09:17,400 --> 01:09:20,240 Speaker 1: middle of the summer is insane. Marco Rubio was like, 1148 01:09:20,439 --> 01:09:22,080 Speaker 1: if you know, why not, it's not a big deal. 1149 01:09:22,240 --> 01:09:27,599 Speaker 1: Just do it. Marco Rubio sometimes it's like he's in 1150 01:09:27,600 --> 01:09:31,200 Speaker 1: a competition with Maisie Herrono and not in a good 1151 01:09:31,200 --> 01:09:36,759 Speaker 1: way for the kind of stuff that he says. You know, Trump, 1152 01:09:36,800 --> 01:09:40,320 Speaker 1: it was interesting he backed away, which I guess he 1153 01:09:40,400 --> 01:09:42,479 Speaker 1: had to do, but he backed away from the op 1154 01:09:42,600 --> 01:09:44,599 Speaker 1: ed I talked to you about yesterday where Peter Navarro 1155 01:09:45,320 --> 01:09:49,559 Speaker 1: was talking about the Fouch play Levin. But if they're 1156 01:09:49,560 --> 01:09:52,200 Speaker 1: all in the same team, we're all in the same team, 1157 01:09:52,240 --> 01:09:56,439 Speaker 1: including doctor Fauci. Have a very good relationship with doctor Fauci, 1158 01:09:56,560 --> 01:09:59,040 Speaker 1: and we're all in the same team. We want to 1159 01:09:59,040 --> 01:10:02,400 Speaker 1: get rid of this mess that China sent us, So 1160 01:10:02,720 --> 01:10:05,559 Speaker 1: everybody's working on the same line that we're doing very well. 1161 01:10:05,920 --> 01:10:07,559 Speaker 1: We're doing well in a lot of ways. That our 1162 01:10:07,560 --> 01:10:10,360 Speaker 1: country is coming back very strong. When you look at 1163 01:10:10,360 --> 01:10:13,640 Speaker 1: those job numbers, We've never had job numbers like we 1164 01:10:13,720 --> 01:10:20,200 Speaker 1: have right now, so it's coming back very strong. Okay, Well, 1165 01:10:20,280 --> 01:10:24,240 Speaker 1: he made a statement representing himself. He shouldn't be doing 1166 01:10:24,280 --> 01:10:27,440 Speaker 1: that now. I have a very good relationship with Anthony 1167 01:10:27,640 --> 01:10:31,000 Speaker 1: Anthony A. Trump and Anthony buddies. Look, they're both New 1168 01:10:31,080 --> 01:10:33,240 Speaker 1: York guys, so they got that going for them, which 1169 01:10:33,240 --> 01:10:37,439 Speaker 1: is nice. But I just think, I just think that 1170 01:10:37,520 --> 01:10:42,400 Speaker 1: people need to be willing to ask their own questions 1171 01:10:42,400 --> 01:10:45,040 Speaker 1: at this point because the public health experts just keep 1172 01:10:45,080 --> 01:10:47,719 Speaker 1: saying the same thing and it doesn't work. It hasn't worked. 1173 01:10:48,880 --> 01:10:54,200 Speaker 1: Wear I'm asks, mitigate stay home, ruin the economy, get 1174 01:10:54,240 --> 01:10:56,280 Speaker 1: Biden elected. I mean, that's really what we're being told 1175 01:10:56,280 --> 01:10:58,559 Speaker 1: all the time. I'm I'm done with it. I've had enough. 1176 01:10:59,560 --> 01:11:02,920 Speaker 1: I spent months wearing a mask all the time here 1177 01:11:02,920 --> 01:11:05,760 Speaker 1: in New York while people were getting sick everywhere, all 1178 01:11:05,760 --> 01:11:08,080 Speaker 1: over the place, and now they're just saying, oh, if 1179 01:11:08,080 --> 01:11:10,200 Speaker 1: we I'm hearing this the CDC director saying, wear a 1180 01:11:10,240 --> 01:11:13,080 Speaker 1: mask for two months and we'll be past this. I 1181 01:11:13,120 --> 01:11:16,960 Speaker 1: promise you, if we had one hund mask compliance, you 1182 01:11:17,000 --> 01:11:20,880 Speaker 1: would not be able to statistically show how it worked. 1183 01:11:21,240 --> 01:11:23,160 Speaker 1: You won't be You will not be able to prove 1184 01:11:23,240 --> 01:11:25,519 Speaker 1: that masks are the reason that this thing has gone away. 1185 01:11:26,240 --> 01:11:29,880 Speaker 1: That's my assessment. I should say, thanks for listening to 1186 01:11:29,920 --> 01:11:34,200 Speaker 1: The Buses Show podcast. Remember to subscribe on Apple podcasts, 1187 01:11:34,360 --> 01:11:39,559 Speaker 1: the iHeartRadio app, or wherever you get your podcasts. All Right, everybody, 1188 01:11:39,680 --> 01:11:41,840 Speaker 1: first time on the show. But I feel like I've 1189 01:11:41,840 --> 01:11:44,320 Speaker 1: known this guy already for years, familiar with his work. 1190 01:11:44,360 --> 01:11:47,880 Speaker 1: I love his stuff online. Kurt Schlichter is with us now. 1191 01:11:48,120 --> 01:11:51,160 Speaker 1: He's an Army veteran columnists at townhall dot com and 1192 01:11:51,320 --> 01:11:55,479 Speaker 1: also author of a new book twenty one Biggest Lies 1193 01:11:55,680 --> 01:12:00,320 Speaker 1: about Donald Trump and you out now, Kurt. Welcome to 1194 01:12:00,360 --> 01:12:03,559 Speaker 1: the freedom of my man. Hey man, thanks for having me. 1195 01:12:03,600 --> 01:12:06,599 Speaker 1: It's about time. So you're out in California. Let's start 1196 01:12:06,640 --> 01:12:10,080 Speaker 1: with this. California is the place that always gets left 1197 01:12:10,120 --> 01:12:12,880 Speaker 1: off the list when the Democrats are complaining about how 1198 01:12:12,880 --> 01:12:16,960 Speaker 1: bad COVID is right now in Florida and Texas. Somehow, 1199 01:12:17,160 --> 01:12:21,320 Speaker 1: particularly California is just always absent from the list. We 1200 01:12:21,439 --> 01:12:24,840 Speaker 1: know that Governor Newsom has scaled you guys back to 1201 01:12:24,920 --> 01:12:28,120 Speaker 1: no indoor really no indoor anything right now other than 1202 01:12:28,160 --> 01:12:30,720 Speaker 1: just shopping for food. How's it going out there? And 1203 01:12:30,760 --> 01:12:33,519 Speaker 1: are people freaked out or does this seem like overkill 1204 01:12:33,640 --> 01:12:37,640 Speaker 1: even to the lib population. I think I think a 1205 01:12:37,680 --> 01:12:40,760 Speaker 1: lot of people are done with this nonsense. Buck. You know, 1206 01:12:41,080 --> 01:12:43,439 Speaker 1: I'm just basically living my luck. I'm a lawyer, so 1207 01:12:43,479 --> 01:12:46,280 Speaker 1: I'm an essential service, so I could be in my 1208 01:12:46,640 --> 01:12:52,120 Speaker 1: palatial corner office. But you know, the guys who really 1209 01:12:52,160 --> 01:12:54,280 Speaker 1: get hurt are the people just starting out, Folks you 1210 01:12:54,320 --> 01:12:57,160 Speaker 1: know who work in food service, Folks who work at 1211 01:12:57,240 --> 01:13:00,400 Speaker 1: movie theaters as sort of thing. And it's you know, 1212 01:13:00,439 --> 01:13:04,840 Speaker 1: it's a damn shame and all the scared, freaked out 1213 01:13:05,000 --> 01:13:08,000 Speaker 1: chardonnay swelling house wise who have nothing to fill their 1214 01:13:08,040 --> 01:13:12,160 Speaker 1: empty lives with. The uh you know, panic about structural 1215 01:13:12,160 --> 01:13:17,720 Speaker 1: and racism and uh mildly effective and dangerous pathogens are 1216 01:13:18,000 --> 01:13:20,760 Speaker 1: going to town and it's it doesn't hurt down because 1217 01:13:20,760 --> 01:13:23,559 Speaker 1: they've got plenty of dough, because their husbands can work 1218 01:13:23,560 --> 01:13:25,759 Speaker 1: from home. What it does is it hurts regular people 1219 01:13:25,960 --> 01:13:29,080 Speaker 1: who work for a living, and it really it's really obnoxious. 1220 01:13:29,880 --> 01:13:32,360 Speaker 1: Is there is there any pushback? Are you seeing people 1221 01:13:32,400 --> 01:13:35,360 Speaker 1: finally start to say, you know, are you first of all, 1222 01:13:35,560 --> 01:13:39,040 Speaker 1: are the beaches open out there? What's going on? Well, look, 1223 01:13:39,080 --> 01:13:41,680 Speaker 1: I haven't seen the beaches closed. Gyms are supposed to 1224 01:13:41,720 --> 01:13:45,599 Speaker 1: be closed, but nobody's doing that. Restaurants are just building 1225 01:13:45,640 --> 01:13:50,320 Speaker 1: now out into the literally like parking lots and streets, 1226 01:13:50,400 --> 01:13:53,599 Speaker 1: so that now you're outside. It's it's it's a joke. 1227 01:13:53,920 --> 01:13:56,280 Speaker 1: I had I had dinner last night and my favorite 1228 01:13:56,479 --> 01:13:59,679 Speaker 1: at my favorite French restaurant in New York, and and 1229 01:13:59,760 --> 01:14:02,200 Speaker 1: they've had and I know the I know the owners, 1230 01:14:02,240 --> 01:14:04,200 Speaker 1: you know, I've I've known them for for a while, 1231 01:14:04,720 --> 01:14:08,800 Speaker 1: and they've based it's like you are eating because they're not. 1232 01:14:08,840 --> 01:14:12,120 Speaker 1: They're not really sidewalk cafes. So what they're they're making 1233 01:14:12,120 --> 01:14:14,559 Speaker 1: people do in New York is just take your tables 1234 01:14:14,600 --> 01:14:17,400 Speaker 1: that were inside and just spread them out on the 1235 01:14:17,400 --> 01:14:20,479 Speaker 1: New York City sidewalk. I mean, and they're ways spread out, 1236 01:14:20,600 --> 01:14:22,519 Speaker 1: and it's like people are walking past you as you're 1237 01:14:22,520 --> 01:14:26,000 Speaker 1: eating dinner. This is this is what we've been reduced to. Now. Yeah, 1238 01:14:26,080 --> 01:14:29,599 Speaker 1: I mean, it's it's just it's silly. It's all theater, 1239 01:14:30,360 --> 01:14:34,519 Speaker 1: you know, you know, the whole mask thing is all theater. 1240 01:14:35,120 --> 01:14:37,240 Speaker 1: Can tell you why why do you think masks are 1241 01:14:37,280 --> 01:14:39,479 Speaker 1: Because I've been saying that too, and I get people 1242 01:14:39,520 --> 01:14:41,360 Speaker 1: who are saying, fuck, why don't symbol? Why don't you 1243 01:14:41,400 --> 01:14:44,760 Speaker 1: like masks? I'm like, it's political, guys, it doesn't help you. Look, 1244 01:14:44,840 --> 01:14:47,280 Speaker 1: I think it's Look, there are really there are sick 1245 01:14:47,320 --> 01:14:51,320 Speaker 1: people out there who to protect themselves, protect them And 1246 01:14:51,400 --> 01:14:53,760 Speaker 1: if your business wants me to wear a mask, I 1247 01:14:53,840 --> 01:14:56,000 Speaker 1: will either wear a mask because it's your business, or 1248 01:14:56,040 --> 01:14:58,439 Speaker 1: I won't go in. That's all reasonable, But let's not 1249 01:14:58,560 --> 01:15:02,679 Speaker 1: fool ourselves. You know, if you're in your Prius driving 1250 01:15:02,760 --> 01:15:08,200 Speaker 1: down Sunset Boulevard, you're with your with your gagged with 1251 01:15:08,320 --> 01:15:13,280 Speaker 1: some high whole song which you're somehow protecting humanity from 1252 01:15:13,320 --> 01:15:16,840 Speaker 1: this pestivals. Hey, you're just not exact how much of 1253 01:15:16,880 --> 01:15:20,040 Speaker 1: this theater. It's much like the people who insist that 1254 01:15:20,120 --> 01:15:25,600 Speaker 1: you conceived that some men men straight. Everybody knows it's bologny. 1255 01:15:25,760 --> 01:15:27,960 Speaker 1: You're just supposed to say it's a show solidarity, and 1256 01:15:28,120 --> 01:15:30,599 Speaker 1: I'm just not willing to do that. Speaking of Kirchlick, 1257 01:15:30,680 --> 01:15:32,720 Speaker 1: you're here. He's got a new book out, twenty one 1258 01:15:32,800 --> 01:15:38,120 Speaker 1: Biggest Lies about Donald Trump. So, Kurt, that campaign made 1259 01:15:37,840 --> 01:15:41,840 Speaker 1: quite a quite a switch up. Today they have this 1260 01:15:42,200 --> 01:15:45,320 Speaker 1: Brad Parscal has been moved into a different role from 1261 01:15:45,320 --> 01:15:48,360 Speaker 1: being the head of the Trump reelection campaign. They brought 1262 01:15:48,360 --> 01:15:52,040 Speaker 1: in this guy, Stepie In. You have been a vocal 1263 01:15:52,120 --> 01:15:55,479 Speaker 1: on this bring us into the campaign stuff because people 1264 01:15:55,479 --> 01:15:59,400 Speaker 1: are worried that myself included. The campaign so far hasn't 1265 01:15:59,400 --> 01:16:02,800 Speaker 1: been getting a well look, I kind of agree. I 1266 01:16:02,840 --> 01:16:05,920 Speaker 1: think that some change was needed. Fortunately, we've got Donald 1267 01:16:05,920 --> 01:16:09,240 Speaker 1: Trump who does not famously does not hesitate to tell 1268 01:16:09,280 --> 01:16:12,160 Speaker 1: someone when you're fired. I think in the last couple 1269 01:16:12,200 --> 01:16:14,479 Speaker 1: of weeks the campaign has seen some real problems. There 1270 01:16:14,520 --> 01:16:15,960 Speaker 1: was a lot of pushback. I was one of the 1271 01:16:16,000 --> 01:16:20,200 Speaker 1: people pushing about the obnoxious texts we were all getting. 1272 01:16:20,240 --> 01:16:22,720 Speaker 1: You know, Donald Trump is very disappointed in you for 1273 01:16:22,800 --> 01:16:25,960 Speaker 1: not matching five times a lot by midnight and all 1274 01:16:25,960 --> 01:16:28,479 Speaker 1: that garbage. And people are like, look, it's not two 1275 01:16:28,520 --> 01:16:31,840 Speaker 1: thousand and two, we are not unsophisticated. Stop treating us 1276 01:16:31,880 --> 01:16:35,400 Speaker 1: like idiots. It was really really making the base angry, 1277 01:16:35,640 --> 01:16:38,799 Speaker 1: and a lot of us pointed out and it changed 1278 01:16:38,800 --> 01:16:41,519 Speaker 1: you about twenty four hours. And then mister Parscale got 1279 01:16:41,560 --> 01:16:43,559 Speaker 1: moved back to an area where he was good. I mean, 1280 01:16:43,600 --> 01:16:46,160 Speaker 1: remember the Peter principle is you do a great job 1281 01:16:46,200 --> 01:16:48,040 Speaker 1: at one thing, then you get moved up to a 1282 01:16:48,120 --> 01:16:51,400 Speaker 1: level where you are incommon. Well, he wasn't getting it done. 1283 01:16:51,400 --> 01:16:53,400 Speaker 1: I'm an army colonel. If you're not getting it done, 1284 01:16:53,520 --> 01:16:55,439 Speaker 1: I put in a guy who does. And that's what 1285 01:16:55,520 --> 01:16:58,439 Speaker 1: the President did. He put Parscale back to what he's 1286 01:16:58,479 --> 01:17:02,639 Speaker 1: good at. What we need to do. What the campaign 1287 01:17:02,720 --> 01:17:04,720 Speaker 1: needs to do is I think, in many ways work 1288 01:17:04,760 --> 01:17:08,599 Speaker 1: on some basics. There were complaints that in some states, 1289 01:17:09,000 --> 01:17:11,120 Speaker 1: you know, you could get a lawn sign very easily, 1290 01:17:11,160 --> 01:17:14,479 Speaker 1: and the middle of Pennsylvania is covered with them, but 1291 01:17:14,560 --> 01:17:16,800 Speaker 1: in Florida, even a Max donor would call up and 1292 01:17:16,840 --> 01:17:19,080 Speaker 1: not be able to get a lawn sign. Okay, that's 1293 01:17:19,120 --> 01:17:22,600 Speaker 1: the basic blocking and tackle of an organization, right, that 1294 01:17:22,800 --> 01:17:25,639 Speaker 1: is basic stuff. And if you're not getting the basics done, 1295 01:17:25,640 --> 01:17:28,360 Speaker 1: you're not getting the hard stuff done. I'm an organization 1296 01:17:28,360 --> 01:17:30,200 Speaker 1: guy who as a battalion commander, as a deputy for 1297 01:17:30,320 --> 01:17:33,960 Speaker 1: date commander, I like seeing an organization work, and it 1298 01:17:34,120 --> 01:17:37,400 Speaker 1: isn't all glamorous, and it's not all tweeting. A lot 1299 01:17:37,400 --> 01:17:40,320 Speaker 1: of it is saying, hey, how many volunteers do we 1300 01:17:40,360 --> 01:17:43,280 Speaker 1: have in date counting? Okay, that's not enough? How are 1301 01:17:43,320 --> 01:17:45,280 Speaker 1: we going to get more? And how are we going 1302 01:17:45,320 --> 01:17:47,479 Speaker 1: to get pizza to them so they can eat? And 1303 01:17:47,520 --> 01:17:49,519 Speaker 1: where are the phones going to get set up? A 1304 01:17:49,560 --> 01:17:54,680 Speaker 1: lot of it's flip amateurs, talk strategy professionals, look at logistics. 1305 01:17:55,040 --> 01:17:57,479 Speaker 1: That's what we need. We need somebody in there who 1306 01:17:57,680 --> 01:18:02,320 Speaker 1: does the hard, dirty work of legism and makes stuff happening. 1307 01:18:02,479 --> 01:18:05,640 Speaker 1: And I Stepian's got a track record to doing that. 1308 01:18:06,520 --> 01:18:10,080 Speaker 1: First feels back at doing what he's good at, and uh, 1309 01:18:10,320 --> 01:18:13,200 Speaker 1: I think I think the president's got a great messenger. 1310 01:18:13,240 --> 01:18:16,800 Speaker 1: Have a townhall column on how he needs to get aspirational. Now, 1311 01:18:17,000 --> 01:18:20,600 Speaker 1: the negative attacks on Biden's wall critical are really a 1312 01:18:20,640 --> 01:18:24,639 Speaker 1: supporting act effort. What we need is a main effort 1313 01:18:25,040 --> 01:18:27,759 Speaker 1: where they shows people that we have a great future 1314 01:18:27,840 --> 01:18:32,000 Speaker 1: ahead if we keep the conservative policies that really set 1315 01:18:32,080 --> 01:18:35,120 Speaker 1: us up well for this crisis. Imagine this crisis. Fuck 1316 01:18:35,840 --> 01:18:39,639 Speaker 1: if we have been in the Obama doldrums, Yeah, would 1317 01:18:39,680 --> 01:18:42,799 Speaker 1: not be good. Kurchlicktor everybody. He's got a book, twenty 1318 01:18:42,800 --> 01:18:45,360 Speaker 1: one Biggest Lies about Donald Trump. So let's sell some 1319 01:18:45,400 --> 01:18:50,120 Speaker 1: books here, Kurt, what are some book the biggest the 1320 01:18:50,160 --> 01:18:53,920 Speaker 1: biggest lies about about Trump? And it always gets me 1321 01:18:54,000 --> 01:18:57,719 Speaker 1: upset when people say these lies the very very meant, 1322 01:18:57,720 --> 01:19:00,679 Speaker 1: probably the worst lies they ever tell. But go ahead, 1323 01:19:00,720 --> 01:19:04,519 Speaker 1: what are the biggest ones? Oh my gosh, Look, there's 1324 01:19:04,560 --> 01:19:07,320 Speaker 1: so many. I could have done the twenty one Biggest 1325 01:19:07,360 --> 01:19:10,720 Speaker 1: Lies about Donald Trump and you part two Electric Bogaloo, 1326 01:19:10,840 --> 01:19:15,320 Speaker 1: but unfortunately you're not allowed to say bogaloo anymore. I'm 1327 01:19:15,360 --> 01:19:19,600 Speaker 1: not even sure what means. But I went with the classics, 1328 01:19:20,560 --> 01:19:24,519 Speaker 1: including Trump is racist, which was a super big surprise 1329 01:19:24,640 --> 01:19:27,000 Speaker 1: to all his friends of all various ethnic groups and 1330 01:19:27,080 --> 01:19:29,719 Speaker 1: races right up until the time he ran for president. 1331 01:19:29,800 --> 01:19:33,080 Speaker 1: You know, but Donald Trump is probably the most of 1332 01:19:33,120 --> 01:19:36,120 Speaker 1: the one are the top fifty most photographed and videotape 1333 01:19:36,120 --> 01:19:38,439 Speaker 1: people and all of human history. I think that's probably 1334 01:19:38,479 --> 01:19:41,719 Speaker 1: fared to say. And in all that time, they never 1335 01:19:41,800 --> 01:19:48,160 Speaker 1: got him on tape talking like say Democrat icon Robert 1336 01:19:48,160 --> 01:19:52,880 Speaker 1: Bird talks about minority never once. And you know, there's 1337 01:19:53,080 --> 01:19:57,040 Speaker 1: like armies of interns in the NBC vaults going through 1338 01:19:57,080 --> 01:20:00,840 Speaker 1: every tape that's ever been made about Donald Trump looking 1339 01:20:00,880 --> 01:20:06,360 Speaker 1: for one one word, one insinuation, one epithet, and they 1340 01:20:06,360 --> 01:20:10,000 Speaker 1: haven't found it. I can tells she's probably not racist, 1341 01:20:11,960 --> 01:20:16,240 Speaker 1: you know, but facts and evidence don't really matter. And 1342 01:20:16,280 --> 01:20:18,639 Speaker 1: that's one of the themes of the twenty one Biggest 1343 01:20:18,640 --> 01:20:21,040 Speaker 1: Lives about to hold Trump and you doesn't really matter. 1344 01:20:21,120 --> 01:20:24,000 Speaker 1: They know it's a lie, or maybe they're stupid and 1345 01:20:24,520 --> 01:20:26,400 Speaker 1: don't know it's a lie, or maybe they just think 1346 01:20:26,400 --> 01:20:30,320 Speaker 1: we're stupid. But you get to other ones, you'll like 1347 01:20:30,400 --> 01:20:33,280 Speaker 1: this because you are you are a three letter agency guy. 1348 01:20:34,960 --> 01:20:38,760 Speaker 1: Prump loves putin now and so do you guys, So 1349 01:20:38,880 --> 01:20:42,080 Speaker 1: to rescue you conservatives. And all I'm thinking of is, 1350 01:20:42,320 --> 01:20:45,719 Speaker 1: you know, I'm literally a veteran of the Cold War. 1351 01:20:45,880 --> 01:20:49,320 Speaker 1: I was literally in it. I know how to use 1352 01:20:49,360 --> 01:20:53,160 Speaker 1: an Army battalion to defeat a Russian mobile motor rifle regiment. 1353 01:20:54,720 --> 01:20:58,280 Speaker 1: I've trained Ukrainian soldiers. I've actually served with Ukrainian soldiers. 1354 01:20:58,280 --> 01:21:02,080 Speaker 1: Well to boy, yeah, you know, I find being told 1355 01:21:02,080 --> 01:21:04,559 Speaker 1: by a twenty three hour year old Rocks guy who 1356 01:21:04,600 --> 01:21:07,000 Speaker 1: can't do a push shop and I'm not hard enough 1357 01:21:07,040 --> 01:21:12,080 Speaker 1: on the bear. I find that kind of disconcerned. I like, 1358 01:21:12,800 --> 01:21:15,639 Speaker 1: I know exactly who Advox you're talking about it. It's 1359 01:21:15,680 --> 01:21:21,320 Speaker 1: everybody at Fox, so well, well please, it's everyone especially 1360 01:21:21,360 --> 01:21:23,840 Speaker 1: we can't do a pushop part fan. I mean, look, 1361 01:21:23,920 --> 01:21:26,600 Speaker 1: it's nice that thirty five years later they decided to 1362 01:21:26,600 --> 01:21:29,920 Speaker 1: get hard on the reds. That's that's great. Welcome to 1363 01:21:29,960 --> 01:21:32,880 Speaker 1: the party. The party's long over, we cleaned up, and 1364 01:21:32,960 --> 01:21:35,360 Speaker 1: now you're knocking on my door again. But that's okay, 1365 01:21:35,520 --> 01:21:37,040 Speaker 1: you know. And of course Joe Biden was a big 1366 01:21:37,040 --> 01:21:40,559 Speaker 1: fan of the nuclear Friese movement, which a AGD sponsor 1367 01:21:40,640 --> 01:21:45,639 Speaker 1: disinformation and uh yeah, well Biden's been wrong on every 1368 01:21:45,640 --> 01:21:48,240 Speaker 1: foreign policy the last forty years. He's almost he's almost 1369 01:21:48,280 --> 01:21:51,959 Speaker 1: amazing in his consistency and being wrong, which is fantastic. Exactly. 1370 01:21:52,000 --> 01:21:56,000 Speaker 1: He's a Georgia coastan of American foreign policy. You say, Joe, 1371 01:21:56,040 --> 01:21:58,120 Speaker 1: what's what? What's your gut tell you? He says, acts 1372 01:21:58,160 --> 01:22:02,040 Speaker 1: it go great, let's do why Yep? Kurt Schlichter, everybody 1373 01:22:02,080 --> 01:22:05,120 Speaker 1: Townhall columnists check out his book twenty one Biggest Lies 1374 01:22:05,360 --> 01:22:09,000 Speaker 1: about Donald Trump and you, Kurt, come back anytime, man, 1375 01:22:09,000 --> 01:22:12,240 Speaker 1: Thanks for hanging out with get it hey, thanks for 1376 01:22:12,280 --> 01:22:16,559 Speaker 1: hanging out with big and fun. All right, thank you. Kurt. 1377 01:22:16,600 --> 01:22:18,360 Speaker 1: Podcast will be out in a couple of hours. That 1378 01:22:18,439 --> 01:22:21,200 Speaker 1: will air tonight at eight Eastern and so five pm. 1379 01:22:21,240 --> 01:22:24,120 Speaker 1: You're ten excellent rock and roll. You ever get out 1380 01:22:24,160 --> 01:22:27,200 Speaker 1: to Cali? Um? Yeah, I do. Under normal circumstances. We 1381 01:22:27,240 --> 01:22:29,040 Speaker 1: should definitely get drinks or something to hang out. I 1382 01:22:29,040 --> 01:22:31,240 Speaker 1: mean because other than you all, I have her, I 1383 01:22:31,320 --> 01:22:34,080 Speaker 1: have a place. Worst case, we're gonna sit on my deck. 1384 01:22:34,840 --> 01:22:37,640 Speaker 1: I mean, I've got a slew of beautiful concern conservative 1385 01:22:37,680 --> 01:22:43,120 Speaker 1: women in the you know, Hollywood area. But other than that, Yeah, 1386 01:22:43,320 --> 01:22:46,240 Speaker 1: we'll hang I think there's six of them. Yeah, I 1387 01:22:46,280 --> 01:22:48,880 Speaker 1: think I know them all right, man, we'll talk soon. 1388 01:22:48,920 --> 01:22:52,920 Speaker 1: Thanks Kurt them all right, man, thanks for having me. 1389 01:22:53,400 --> 01:22:59,160 Speaker 1: Appreciate it anytime You're in the Freedom Mine. This is 1390 01:22:59,200 --> 01:23:05,800 Speaker 1: the Buck Sex and Show Podcast. Oh I know we 1391 01:23:05,880 --> 01:23:08,320 Speaker 1: talked about the Green New Deal climate change and all 1392 01:23:08,360 --> 01:23:10,240 Speaker 1: that insanity a little bit earlier in the show, but 1393 01:23:10,320 --> 01:23:12,599 Speaker 1: I meant to do this. I meant to introduce you 1394 01:23:12,640 --> 01:23:17,559 Speaker 1: to a producer. Mark. Is this a real commercial? I 1395 01:23:17,640 --> 01:23:24,519 Speaker 1: believe yea a burger king commercial about I'm sitting here 1396 01:23:24,840 --> 01:23:29,160 Speaker 1: and I'm wondering, how is this possible burger king commercial 1397 01:23:29,280 --> 01:23:34,840 Speaker 1: about methane? Yeah? No, this is a real thing. We 1398 01:23:35,000 --> 01:23:40,840 Speaker 1: now there are now active campaigns from multinational corporations to 1399 01:23:41,040 --> 01:23:47,160 Speaker 1: deal with cow farts and burps. This is this is 1400 01:23:47,160 --> 01:23:49,000 Speaker 1: a real commerce. I thought this had to be some 1401 01:23:49,080 --> 01:23:50,960 Speaker 1: kind of a send up, some kind of a joke. 1402 01:23:51,680 --> 01:23:55,679 Speaker 1: Turns out no, it is. It is not play whatever. 1403 01:23:55,720 --> 01:23:58,639 Speaker 1: This plays a clip from the methane The Anti cow 1404 01:23:58,760 --> 01:24:11,040 Speaker 1: fart campaign is upon us place sixteen Scott mentions by 1405 01:24:11,240 --> 01:24:25,840 Speaker 1: mom thing my coin ain't farting, Must meet men and 1406 01:24:26,080 --> 01:24:52,639 Speaker 1: the far open. This is real, folks, the anti cow 1407 01:24:52,720 --> 01:24:57,800 Speaker 1: fart campaign. It's a thing. Though. Washington Post reports the 1408 01:24:57,840 --> 01:25:02,800 Speaker 1: cows produced excess methin as enzymes breakdown food in their 1409 01:25:02,880 --> 01:25:07,000 Speaker 1: digestive system. This methane gets released through burping and flatulence, 1410 01:25:07,360 --> 01:25:11,800 Speaker 1: and its environmental impact is significant. Cattle contribute fourteen point 1411 01:25:11,880 --> 01:25:16,559 Speaker 1: five percent of the world's global greenhouse gas emissions, and 1412 01:25:16,680 --> 01:25:19,439 Speaker 1: methane warms the planet eighty six times more than carbon 1413 01:25:19,479 --> 01:25:24,000 Speaker 1: dioxide over ten to twenty years. According to the EPA, 1414 01:25:24,080 --> 01:25:27,559 Speaker 1: the livestock industry is directly responsible for approximately a quarter 1415 01:25:27,600 --> 01:25:31,839 Speaker 1: of climate change in the industrial age. Gassy cows, everybody, 1416 01:25:31,880 --> 01:25:34,519 Speaker 1: they're coming for your gasy cows. Look, this is not 1417 01:25:34,600 --> 01:25:38,160 Speaker 1: going to reduce it enough, though. They are going to 1418 01:25:38,160 --> 01:25:41,479 Speaker 1: try to take that steak or that burger out of 1419 01:25:41,479 --> 01:25:46,000 Speaker 1: your mouth. Just give it time. It's going to happen. 1420 01:25:46,520 --> 01:25:49,599 Speaker 1: They can't help themselves. They're that up in your business. 1421 01:25:49,640 --> 01:25:54,040 Speaker 1: They're that insistent on controlling every aspect of your life. 1422 01:25:54,040 --> 01:25:55,439 Speaker 1: They're going to want to control what you put in 1423 01:25:55,479 --> 01:25:58,120 Speaker 1: your mouth, what your dietary needs are. And I got 1424 01:25:58,200 --> 01:26:00,519 Speaker 1: to tell you that there was this huge in the 1425 01:26:00,600 --> 01:26:05,000 Speaker 1: last few years to create all these burger like substitutes. 1426 01:26:05,800 --> 01:26:07,519 Speaker 1: And I even was willing. I tried a couple when 1427 01:26:07,520 --> 01:26:09,320 Speaker 1: I lived in DC. I tried a few of them. 1428 01:26:10,320 --> 01:26:13,360 Speaker 1: They're not good. They're just not good burgers. And Mark, 1429 01:26:13,360 --> 01:26:16,479 Speaker 1: you ever tried those things? I happen't. No, they're very 1430 01:26:16,520 --> 01:26:19,320 Speaker 1: you know, beyond meat or better than burger or whatever 1431 01:26:19,320 --> 01:26:21,280 Speaker 1: they call these things. My wife really liked the one 1432 01:26:21,320 --> 01:26:24,320 Speaker 1: from Actually Burger King, but she doesn't eat red meat 1433 01:26:24,320 --> 01:26:27,479 Speaker 1: because he's her stomach. Well that's that's that's like me 1434 01:26:27,560 --> 01:26:30,280 Speaker 1: not eating gluten, which is horrible, but unfortunately I can't, right. 1435 01:26:30,320 --> 01:26:31,680 Speaker 1: I mean, I wish I could sit there and eat 1436 01:26:31,720 --> 01:26:34,680 Speaker 1: French bread and you know, Brion baguettes all day, but 1437 01:26:34,720 --> 01:26:38,280 Speaker 1: I would die. So yeah, I mean I get that. Um. 1438 01:26:38,800 --> 01:26:41,960 Speaker 1: I mean, look, I guess they're not like inedible, but 1439 01:26:42,000 --> 01:26:44,360 Speaker 1: they're pretty they're pretty bad. Yeah, that's sort of like 1440 01:26:44,400 --> 01:26:47,680 Speaker 1: a veggie burger. A veggie burger is a fine accoutremle 1441 01:26:48,240 --> 01:26:50,840 Speaker 1: to my actual burger burger. As long as you put 1442 01:26:50,880 --> 01:26:52,880 Speaker 1: some like melted cheese on it and some mayo and 1443 01:26:52,880 --> 01:26:54,200 Speaker 1: things like, you know what I mean, Then then the 1444 01:26:54,280 --> 01:26:55,880 Speaker 1: veggie burger is kind of it. So you use the 1445 01:26:55,960 --> 01:26:59,040 Speaker 1: veggie burgers are topping to an actual burger, Yeah, pretty much. 1446 01:26:59,360 --> 01:27:00,920 Speaker 1: If you if you were you want to eat veggie burger, 1447 01:27:00,920 --> 01:27:03,640 Speaker 1: what you do is you put your meat burger and 1448 01:27:03,760 --> 01:27:06,160 Speaker 1: you make a veggie burger sandwich of your meat burger. 1449 01:27:06,479 --> 01:27:11,200 Speaker 1: You know, carbs like I don't understand veggie veggie patty 1450 01:27:11,280 --> 01:27:14,519 Speaker 1: on topping on bottom. I'm just getting creative here, just 1451 01:27:14,560 --> 01:27:16,240 Speaker 1: telling you what what I'm up to, kind of the 1452 01:27:16,320 --> 01:27:17,840 Speaker 1: kind of things that I do. I'm a man who 1453 01:27:17,920 --> 01:27:21,800 Speaker 1: likes to you know, the sandwich from KFC, where it 1454 01:27:21,840 --> 01:27:23,760 Speaker 1: was the two pieces of fried chicken with bacon and 1455 01:27:23,880 --> 01:27:26,840 Speaker 1: cheese in the middle. Probout what they called that. But 1456 01:27:27,600 --> 01:27:29,600 Speaker 1: I remember when I worked at the NYPD there was 1457 01:27:29,640 --> 01:27:32,439 Speaker 1: this Italian sandwich place. And this is when I used 1458 01:27:32,439 --> 01:27:34,519 Speaker 1: to eat gluten. I didn't know that, you know, I couldn't. 1459 01:27:34,800 --> 01:27:36,840 Speaker 1: And they used to go to this Italian sandwich place 1460 01:27:36,840 --> 01:27:39,840 Speaker 1: out in Brooklyn and guys would drive like forty five 1461 01:27:39,840 --> 01:27:42,400 Speaker 1: minutes to come back with a sandwich and they'd get 1462 01:27:42,520 --> 01:27:45,559 Speaker 1: cardboard boxes full of these sandwiches with like you know, 1463 01:27:45,680 --> 01:27:49,760 Speaker 1: bragutto and provolo and all the and the sandwiches were incredible. 1464 01:27:50,400 --> 01:27:52,680 Speaker 1: You know, a really good sandwich goes a long way. 1465 01:27:52,680 --> 01:27:54,240 Speaker 1: I will say, I'm see, this is what happens the 1466 01:27:54,280 --> 01:27:56,160 Speaker 1: show I Get I Get Hungry. Where we do we 1467 01:27:56,240 --> 01:27:58,880 Speaker 1: do this radio show? We started talking about food. I 1468 01:27:58,920 --> 01:28:01,000 Speaker 1: started thinking, I'm like, how many people listening to this 1469 01:28:01,120 --> 01:28:03,040 Speaker 1: right now are probably are cooking dinner or sitting down 1470 01:28:03,080 --> 01:28:06,120 Speaker 1: at dinner probably a fair amount they're already eating. I 1471 01:28:06,120 --> 01:28:07,840 Speaker 1: still have to finish the show before I can eat. 1472 01:28:08,960 --> 01:28:10,760 Speaker 1: I want to order barbecue tonight. Now I really am 1473 01:28:10,800 --> 01:28:12,160 Speaker 1: thinking out a lot abou all this stuff. All right, 1474 01:28:12,200 --> 01:28:13,920 Speaker 1: all right, Oh, there was one one other thing I 1475 01:28:13,960 --> 01:28:15,560 Speaker 1: want to get to. Um. This is kind of a 1476 01:28:15,960 --> 01:28:19,400 Speaker 1: mulligan round here of things that I was hoping to 1477 01:28:19,640 --> 01:28:21,680 Speaker 1: address on the show and hadn't out the time yet. 1478 01:28:21,720 --> 01:28:26,320 Speaker 1: I told you yesterday AOC had the and maybe the 1479 01:28:26,400 --> 01:28:32,400 Speaker 1: dumbest take possible, the dumbest take imaginable, for why there 1480 01:28:32,439 --> 01:28:34,880 Speaker 1: has been a spike in crime in New York City. 1481 01:28:34,920 --> 01:28:36,599 Speaker 1: It was kind of it's kind of hard to fathom 1482 01:28:36,640 --> 01:28:39,120 Speaker 1: that anybody could come up with this. Who's a person 1483 01:28:39,720 --> 01:28:42,280 Speaker 1: in public life, a public figure, But no, it happened. 1484 01:28:42,920 --> 01:28:47,160 Speaker 1: And here she is, or rather, here is Governor Cuomo, 1485 01:28:47,280 --> 01:28:53,479 Speaker 1: pardon me, responding to AOC's almost incomprehensively stupid analysis of 1486 01:28:53,560 --> 01:28:56,479 Speaker 1: why there's a crime spike in New York City. Please 1487 01:28:56,560 --> 01:29:00,679 Speaker 1: play fourteen and incorrect. I don't know what she said, 1488 01:29:01,400 --> 01:29:03,559 Speaker 1: so I have no comment on what she said. But 1489 01:29:04,360 --> 01:29:08,599 Speaker 1: people have theories. An incorrect theory doesn't wind up being 1490 01:29:08,800 --> 01:29:13,040 Speaker 1: correct because there's a void and I think we have 1491 01:29:13,120 --> 01:29:15,519 Speaker 1: been talking about what's going on. I don't think there 1492 01:29:15,600 --> 01:29:19,000 Speaker 1: is one answer, but I think you raised a good 1493 01:29:19,000 --> 01:29:20,760 Speaker 1: point last week. I think there are a number of 1494 01:29:20,840 --> 01:29:27,920 Speaker 1: contributing factor and you put all those factors together and 1495 01:29:28,920 --> 01:29:31,559 Speaker 1: that's what you're seeing going on. It's no one factor, 1496 01:29:31,640 --> 01:29:33,640 Speaker 1: and that's why it's a little more complicated. You know, 1497 01:29:33,680 --> 01:29:35,360 Speaker 1: in politics, they want to be able to say it's 1498 01:29:35,439 --> 01:29:38,559 Speaker 1: just this. It's not just this. There are a number 1499 01:29:38,560 --> 01:29:44,440 Speaker 1: of factors. But I don't think, yeah, it is factually 1500 01:29:44,479 --> 01:29:48,120 Speaker 1: impossible that somebody committed a crime so they could pay 1501 01:29:48,160 --> 01:29:53,000 Speaker 1: their rent. If you can't pay your rent, you cannot 1502 01:29:53,000 --> 01:29:58,200 Speaker 1: be evicted right now. Yeah, the only intelligence thing he 1503 01:29:58,240 --> 01:30:00,559 Speaker 1: said was the last thing. Everything else you said was crap. 1504 01:30:00,600 --> 01:30:02,880 Speaker 1: But anyway, or at least, it's a dodge from the 1505 01:30:02,920 --> 01:30:04,799 Speaker 1: fact that we all know why the crime spike is happening. 1506 01:30:04,800 --> 01:30:07,960 Speaker 1: So I actually gave Cuomo, gave him too much credit. 1507 01:30:09,160 --> 01:30:11,439 Speaker 1: Uh So, Yeah, what he does says he doesn't know 1508 01:30:11,439 --> 01:30:12,920 Speaker 1: what AOC says. I'm sure he didn't know, but he 1509 01:30:12,960 --> 01:30:15,200 Speaker 1: didn't want to criticize her, of course, because she has 1510 01:30:15,200 --> 01:30:18,639 Speaker 1: a bigger Twitter audience. It would crush him, crush him, 1511 01:30:18,840 --> 01:30:23,960 Speaker 1: destroy him. All right, Roll Call next. Thanks for listening 1512 01:30:24,000 --> 01:30:27,439 Speaker 1: to the Buses and Show podcast. Remember to subscribe on 1513 01:30:27,479 --> 01:30:31,720 Speaker 1: Apple Podcast, the iHeartRadio app, or wherever you get your podcasts. 1514 01:30:37,240 --> 01:30:50,760 Speaker 1: Team Buck, It's time for Roll Call producer Mark. How 1515 01:30:50,800 --> 01:30:52,639 Speaker 1: much would it take if we set up a gofund 1516 01:30:52,640 --> 01:30:56,200 Speaker 1: me to have you sing the cow fart song? How 1517 01:30:56,240 --> 01:30:57,880 Speaker 1: much money would it require for you to sing that 1518 01:30:57,920 --> 01:31:00,320 Speaker 1: on air? It would take a lot of money. But 1519 01:31:00,400 --> 01:31:02,880 Speaker 1: you do think it is catchy? I mean it is 1520 01:31:02,920 --> 01:31:06,320 Speaker 1: a little catchy. I mean, come on, compared to Baby Shark, 1521 01:31:06,400 --> 01:31:08,000 Speaker 1: which one is, it's like on a scale of one 1522 01:31:08,040 --> 01:31:10,200 Speaker 1: to baby Shark, which baby Shark is by far at ten, 1523 01:31:10,280 --> 01:31:13,120 Speaker 1: maybe even a twenty, it's like a six. You know. Actually, 1524 01:31:13,120 --> 01:31:16,960 Speaker 1: I actually realized that Baby Sharks singing on radio should 1525 01:31:16,960 --> 01:31:18,880 Speaker 1: be banned by the Geneva Convention because it is a 1526 01:31:18,880 --> 01:31:21,960 Speaker 1: form of psychological warfare. Because if I start singing baby 1527 01:31:21,960 --> 01:31:23,479 Speaker 1: Shark on this show, you're gonna make why is he 1528 01:31:23,520 --> 01:31:27,839 Speaker 1: doing that? It is guaranteed that later today or later tonight, 1529 01:31:27,960 --> 01:31:30,360 Speaker 1: at some point you will have it stuck in your head. 1530 01:31:30,400 --> 01:31:32,360 Speaker 1: There's there's no way around it. There's nothing you can do. 1531 01:31:32,479 --> 01:31:36,680 Speaker 1: It will stick in your brain like this scum that 1532 01:31:36,840 --> 01:31:39,679 Speaker 1: gathers around the you know, the orange scum that gathers 1533 01:31:39,680 --> 01:31:43,920 Speaker 1: around the edge of the shower stall or you know whatever. Right, 1534 01:31:44,000 --> 01:31:46,760 Speaker 1: that's stuff that's you don't talking about. Yes, So I 1535 01:31:46,760 --> 01:31:49,360 Speaker 1: actually used to work for my alma mater, being the 1536 01:31:49,439 --> 01:31:52,840 Speaker 1: DJ at basketball games, just playing music. And every year 1537 01:31:52,880 --> 01:31:55,439 Speaker 1: the women's team has what I Want to Be Day 1538 01:31:55,520 --> 01:31:57,680 Speaker 1: or something like that. I think they actually change it 1539 01:31:57,680 --> 01:32:00,679 Speaker 1: to Kids in Fitness Day, So they had like ten 1540 01:32:00,760 --> 01:32:05,120 Speaker 1: thousand screaming children, elementary school children, and to entertain them, 1541 01:32:05,280 --> 01:32:07,599 Speaker 1: I think Baby Shark was played at least four times, 1542 01:32:07,680 --> 01:32:13,080 Speaker 1: maybe five. I wanted to shoot myself. I remember the 1543 01:32:13,160 --> 01:32:16,600 Speaker 1: instrument of psychological warfare against adults known as Barney the 1544 01:32:16,600 --> 01:32:20,519 Speaker 1: Purple Dinosaur, because I tied to babysit for my younger 1545 01:32:20,560 --> 01:32:23,800 Speaker 1: siblings sometimes, and that was like, if you wanted the 1546 01:32:23,880 --> 01:32:26,799 Speaker 1: kid to just be quiet, you would put on Barney 1547 01:32:26,840 --> 01:32:30,519 Speaker 1: the Purple Dinosaur. Does he still exist? I'm sure he does. 1548 01:32:30,600 --> 01:32:36,519 Speaker 1: He was scuds on Barney, curing me, insuring again I 1549 01:32:36,600 --> 01:32:39,320 Speaker 1: was obsessed with Barney as a child. Oh so you 1550 01:32:39,360 --> 01:32:41,559 Speaker 1: knew about bart of course I did. Yeah, that's you're 1551 01:32:41,600 --> 01:32:43,320 Speaker 1: you're of the age, that's right. You're like, my you're 1552 01:32:43,360 --> 01:32:46,360 Speaker 1: like my siblings age or my youngest one. So yeah, 1553 01:32:46,400 --> 01:32:48,400 Speaker 1: that's right, you would have. It was like right around Barney, 1554 01:32:48,439 --> 01:32:51,640 Speaker 1: but but before Teletubbies. So like I saw a Teletubbies 1555 01:32:51,640 --> 01:32:55,160 Speaker 1: and thought that was weird. I love you, you love 1556 01:32:55,320 --> 01:33:00,160 Speaker 1: me weird. I remember, I remember the whole thing. Oh 1557 01:33:00,240 --> 01:33:02,679 Speaker 1: my gosh, parents listening to this of a certain age, 1558 01:33:02,680 --> 01:33:06,360 Speaker 1: you're like buck stop. I had the stuffed animals and everything. 1559 01:33:06,560 --> 01:33:09,080 Speaker 1: Oh yeah, yeah, iro. When I was a kid, it 1560 01:33:09,160 --> 01:33:12,799 Speaker 1: was cabbage Patch kids were just the rage and everyone 1561 01:33:12,840 --> 01:33:16,720 Speaker 1: loved cabbage Patch kids. That was the thing that was 1562 01:33:16,800 --> 01:33:19,400 Speaker 1: really um and also thought, I mean cabbage Patch kids. 1563 01:33:19,439 --> 01:33:21,000 Speaker 1: Then you got a little older and a little cooler. 1564 01:33:21,320 --> 01:33:25,320 Speaker 1: It was all about ThunderCats, which were human beings kind 1565 01:33:25,320 --> 01:33:29,040 Speaker 1: of mixed with a cat that we're wearing, like, you know, 1566 01:33:30,040 --> 01:33:33,360 Speaker 1: g strings in these cartoons. The whole thing made no sense. 1567 01:33:33,400 --> 01:33:35,400 Speaker 1: But anyway, some of you know what I'm talking about. 1568 01:33:35,479 --> 01:33:37,600 Speaker 1: I have no idea what you're talking about. You know, 1569 01:33:37,680 --> 01:33:40,680 Speaker 1: I'm just saying sounds like something you find on the 1570 01:33:40,720 --> 01:33:44,719 Speaker 1: internet after a night of drinking. The ThunderCats was thunder 1571 01:33:44,800 --> 01:33:47,519 Speaker 1: thunder cats. It was it was pretty cool. I was 1572 01:33:47,520 --> 01:33:49,840 Speaker 1: a big gi Joe guy though that was my that's 1573 01:33:49,840 --> 01:33:53,200 Speaker 1: not surprising. Yeah, of course. All right, Facebook dot com, 1574 01:33:53,240 --> 01:33:56,240 Speaker 1: slash Buck Sexton or Team Buck and iHeartMedia dot com 1575 01:33:56,320 --> 01:33:59,479 Speaker 1: if you want to email us and remember tomorrow's Friday 1576 01:34:00,240 --> 01:34:06,720 Speaker 1: or Producer Mark's favorite day, because it is the day 1577 01:34:06,760 --> 01:34:08,679 Speaker 1: that we get to play all your voicemails eight four 1578 01:34:08,800 --> 01:34:12,599 Speaker 1: four nine hundred two eight two five eight four four 1579 01:34:12,800 --> 01:34:16,840 Speaker 1: nine hundred buck. And Producer Mark loves it when you 1580 01:34:16,880 --> 01:34:20,240 Speaker 1: call in and tell him that he he's a grouchy 1581 01:34:20,320 --> 01:34:22,960 Speaker 1: snuggle bear. He likes that in the voicemail, so you 1582 01:34:22,960 --> 01:34:26,479 Speaker 1: can always say that rouchy snuggle bear. That's a new one. Yeah, yeah, 1583 01:34:26,520 --> 01:34:28,439 Speaker 1: we're just trying to see someone's gonna call it at 1584 01:34:28,439 --> 01:34:30,439 Speaker 1: say it. You'll have to listen to it. So there 1585 01:34:30,479 --> 01:34:33,000 Speaker 1: we go. Eight four four nine hundred two eight two 1586 01:34:33,040 --> 01:34:35,439 Speaker 1: five eight four four nine hundred buck. That is the number. 1587 01:34:35,439 --> 01:34:38,640 Speaker 1: Please light us up with some wonderful voicemails. We love 1588 01:34:38,680 --> 01:34:41,920 Speaker 1: hearing from you guys. We'll play them tomorrow. That's always fun, 1589 01:34:42,000 --> 01:34:49,040 Speaker 1: all right, Scott Buck. I download every podcast you offer. However, 1590 01:34:49,160 --> 01:34:53,439 Speaker 1: I haven't heard your Kaiservilleham impersonation in a vial. It's 1591 01:34:53,479 --> 01:34:57,560 Speaker 1: one of my favorites. Thank your Scott from Orange County, California. Haktongue, 1592 01:34:59,360 --> 01:35:04,080 Speaker 1: Scott's you've heard thee kaiser. Kaiser Wilhelm initially started as 1593 01:35:04,200 --> 01:35:10,280 Speaker 1: a representation of the person that Bill Deblasio would have 1594 01:35:10,320 --> 01:35:13,880 Speaker 1: had to b if he' we are in fact called 1595 01:35:14,000 --> 01:35:18,879 Speaker 1: his original name, which was var In Wilhelm. Yeah, guten 1596 01:35:18,960 --> 01:35:23,920 Speaker 1: tag so vai In Philhelm born in Massachusetts, the state 1597 01:35:23,960 --> 01:35:30,599 Speaker 1: in northeastern United States. Yeah, he became Billy Deblasio because 1598 01:35:30,600 --> 01:35:35,799 Speaker 1: he wanted to run for the office. Nine. That's what happened. 1599 01:35:36,280 --> 01:35:39,800 Speaker 1: So he's the Kaiser and now the Kaiser. Deblasio was saying, 1600 01:35:39,840 --> 01:35:43,160 Speaker 1: you cannot eat the food, you cannot go out the side. 1601 01:35:43,640 --> 01:35:45,920 Speaker 1: It is all I want you to do all the time. 1602 01:35:46,640 --> 01:35:50,400 Speaker 1: And we all have to say, okay, Kaiser Wilhelm, okay, 1603 01:35:50,560 --> 01:35:52,920 Speaker 1: please don't ruin the city anymore than you've already ruined it. 1604 01:35:53,080 --> 01:35:55,400 Speaker 1: I never thought one of your ridiculous voices would actually 1605 01:35:55,439 --> 01:35:57,439 Speaker 1: teach me something I had no idea about that. You 1606 01:35:57,439 --> 01:36:01,760 Speaker 1: didn't know that was a name. Yeah, yeah, Warren Wilhelm, 1607 01:36:03,280 --> 01:36:04,920 Speaker 1: think about that. It's a little bit tougher to get 1608 01:36:05,000 --> 01:36:07,640 Speaker 1: union guys be like, hey, yeah, who you vote for 1609 01:36:07,680 --> 01:36:10,360 Speaker 1: Today Gold with this guy Warren Wilhelm. He was like 1610 01:36:10,360 --> 01:36:13,479 Speaker 1: a pith helmet, you know, served his time in the trenches. 1611 01:36:13,560 --> 01:36:16,559 Speaker 1: You know, It's like, I don't know, different, different kind 1612 01:36:16,560 --> 01:36:18,600 Speaker 1: of deal. I've never heard of a politician having a 1613 01:36:18,640 --> 01:36:21,439 Speaker 1: stage name. Interesting, I own a lot of politicians have 1614 01:36:21,479 --> 01:36:28,519 Speaker 1: changed their names. Um. Look, I think John Carry's name before. 1615 01:36:28,600 --> 01:36:31,559 Speaker 1: I think his family name was originally Cone and then 1616 01:36:31,600 --> 01:36:36,000 Speaker 1: it was changed to Carry. Barack Obama went by the 1617 01:36:36,120 --> 01:36:39,599 Speaker 1: name as an adult Barry Obama and even at one 1618 01:36:39,600 --> 01:36:44,320 Speaker 1: point I believe Barry Satoro when he was younger, but 1619 01:36:44,439 --> 01:36:47,400 Speaker 1: definitely Barry. Producer Nick am I one of my he's 1620 01:36:47,400 --> 01:36:50,559 Speaker 1: got something for us here? Am I saying something? That's uh, 1621 01:36:50,640 --> 01:36:56,120 Speaker 1: that's Bill Clinton, William William Blake. You know I knew that, 1622 01:36:56,160 --> 01:36:59,800 Speaker 1: but I had totally I had totally forgotten that one. 1623 01:37:00,080 --> 01:37:01,960 Speaker 1: I had totally forgotten that. Yeah, these guys all they 1624 01:37:02,040 --> 01:37:06,320 Speaker 1: changed their names, change their names all the time. Um, 1625 01:37:06,320 --> 01:37:08,599 Speaker 1: trying to think who else where it was a big 1626 01:37:08,640 --> 01:37:10,519 Speaker 1: There's there's definitely one that I'm forgetting that people are 1627 01:37:10,520 --> 01:37:12,880 Speaker 1: gonna yell at me later that I'm forgetting. But yeah, 1628 01:37:12,880 --> 01:37:15,120 Speaker 1: a lot a lot of politicians have have changed their 1629 01:37:15,200 --> 01:37:18,880 Speaker 1: names and um, that's uh, that's just part of it, man. 1630 01:37:18,880 --> 01:37:23,120 Speaker 1: It's all branding. It's all branding, all right, Adam Buck, 1631 01:37:23,120 --> 01:37:26,599 Speaker 1: you stumble upon a great idea. Each frequent guest needs 1632 01:37:26,600 --> 01:37:29,639 Speaker 1: an eighties action hero intro or maybe a wrestling intro 1633 01:37:30,240 --> 01:37:33,360 Speaker 1: cage match to see who gets the Undertaker's intro shields. 1634 01:37:33,400 --> 01:37:36,800 Speaker 1: High producer Mark, did I stumble onto that idea? I 1635 01:37:36,840 --> 01:37:39,639 Speaker 1: think we were talking you, uh, you were talking about 1636 01:37:39,720 --> 01:37:45,680 Speaker 1: Randy Savage yesterday, about a Randy that slim gym. Remember that, 1637 01:37:46,120 --> 01:37:48,599 Speaker 1: but realistically wouldn't If there was a cage match between 1638 01:37:48,600 --> 01:37:53,400 Speaker 1: our guests, Jesse Kelly would win like he's he's the five. Yeah, 1639 01:37:53,400 --> 01:37:55,960 Speaker 1: he's the tallest. I don't know. You know, you know 1640 01:37:56,040 --> 01:37:59,400 Speaker 1: there there'd be some tough conservative matchups, you know, uh, 1641 01:37:59,600 --> 01:38:02,320 Speaker 1: you know on Gino's a big guy and and does 1642 01:38:02,400 --> 01:38:05,080 Speaker 1: does grappling training. But you know, you get Seb Gorka 1643 01:38:05,120 --> 01:38:08,639 Speaker 1: in there. Doctor g is like the mountain from Game 1644 01:38:08,680 --> 01:38:10,880 Speaker 1: of Thrones. He he is so much bigger than you 1645 01:38:10,920 --> 01:38:14,000 Speaker 1: realize from seeing him on TV and stuff. Doctor G 1646 01:38:14,400 --> 01:38:17,280 Speaker 1: has hands the size of oven mitts. I'm telling you. So, 1647 01:38:17,400 --> 01:38:21,040 Speaker 1: you know, the steel cage match of conservative media personalities. 1648 01:38:21,040 --> 01:38:24,800 Speaker 1: You'd have some interesting matchups for sure. Um, but yeah, no, Yeah, 1649 01:38:24,920 --> 01:38:27,519 Speaker 1: Jesse Kelly is like six foot nine, but he's st 1650 01:38:27,600 --> 01:38:29,599 Speaker 1: he's you know, he's a slender fellow because he does 1651 01:38:29,680 --> 01:38:33,200 Speaker 1: keto of course, so as he likes to show everybody 1652 01:38:33,240 --> 01:38:36,680 Speaker 1: his version of keto is a lot of Yeah, but 1653 01:38:36,760 --> 01:38:40,040 Speaker 1: it's a lot of Philly cheese steaks, that's his keto. Yeah. 1654 01:38:40,080 --> 01:38:42,760 Speaker 1: He's one of those people that eats like a He 1655 01:38:42,840 --> 01:38:45,840 Speaker 1: eats like a you know, a human hippopotamus or something 1656 01:38:46,200 --> 01:38:51,439 Speaker 1: and never gains a pound. Good job, Jesse Kelly. Yeah, producer, producer, 1657 01:38:51,479 --> 01:38:53,920 Speaker 1: Mark and Buck here are like, no more mac and cheese. 1658 01:38:53,960 --> 01:38:59,479 Speaker 1: Time to start eating salads another time another day. I'll 1659 01:38:59,520 --> 01:39:04,920 Speaker 1: start my my fitness routine soon. Let's see, Kyle Buck. 1660 01:39:04,960 --> 01:39:06,760 Speaker 1: I live in California and consult of the state of 1661 01:39:06,800 --> 01:39:10,520 Speaker 1: the state based on a recent neighborhood walk, bum camps everywhere, 1662 01:39:10,760 --> 01:39:13,640 Speaker 1: human fecal matter on the sidewalk near my house, and 1663 01:39:13,800 --> 01:39:17,120 Speaker 1: someone wearing a face mask outdoors but pulling it down 1664 01:39:17,280 --> 01:39:20,400 Speaker 1: to take a hit on his joint. Yeah, of course. 1665 01:39:21,120 --> 01:39:23,000 Speaker 1: But I can't go to a restaurant or have a 1666 01:39:23,120 --> 01:39:26,439 Speaker 1: drink at a bar because those are public health risks. 1667 01:39:26,800 --> 01:39:28,559 Speaker 1: I'm moving out of state soon and won't miss it. 1668 01:39:28,560 --> 01:39:31,240 Speaker 1: It's a beautiful place to live, made miserable by many 1669 01:39:31,280 --> 01:39:33,799 Speaker 1: of the people who live here, and definitely by those 1670 01:39:33,920 --> 01:39:39,880 Speaker 1: who govern. Oh, Kyle, I believe that for sure. Uh yeah, man, 1671 01:39:39,920 --> 01:39:42,920 Speaker 1: it's California is an amazing state. I just I wish 1672 01:39:42,960 --> 01:39:46,080 Speaker 1: the Conservatives had come up with a plan to take 1673 01:39:46,240 --> 01:39:48,280 Speaker 1: to well. It used to be republic people forget this, 1674 01:39:48,320 --> 01:39:51,720 Speaker 1: and Ronald Reagan was the governor of California. California used 1675 01:39:51,720 --> 01:39:55,920 Speaker 1: to be consistently, you know, in an election after election, 1676 01:39:56,080 --> 01:39:58,880 Speaker 1: used to go for the GOP. And I wasn't really 1677 01:39:58,920 --> 01:40:03,200 Speaker 1: until the nineties and huge waves of predominantly illegal immigration 1678 01:40:03,920 --> 01:40:07,720 Speaker 1: that the states started to flip um and and now 1679 01:40:07,720 --> 01:40:10,559 Speaker 1: it's just a it's a Democrat ultra stronghold. I mean 1680 01:40:10,600 --> 01:40:13,240 Speaker 1: it's not even not even close. It's just a shame 1681 01:40:13,320 --> 01:40:16,800 Speaker 1: because Republicans we need one. Look, we've got Texas, but 1682 01:40:16,800 --> 01:40:20,439 Speaker 1: they're trying to take Texas. We really need one large 1683 01:40:20,520 --> 01:40:24,040 Speaker 1: population blue state to to go our way. I mean, 1684 01:40:24,200 --> 01:40:26,599 Speaker 1: I think the answer is Florida. The producer Mark will 1685 01:40:26,600 --> 01:40:30,479 Speaker 1: be happy to hear that we need we need you know, 1686 01:40:30,520 --> 01:40:33,960 Speaker 1: a half a million you know just redd as can 1687 01:40:34,000 --> 01:40:37,360 Speaker 1: be Republicans from states that are forever lost New York 1688 01:40:37,400 --> 01:40:41,759 Speaker 1: and California to just flood down to Florida, register and vote. 1689 01:40:41,840 --> 01:40:44,320 Speaker 1: That's that's the real strategy, and I'm Siah. We should 1690 01:40:44,360 --> 01:40:49,599 Speaker 1: do this. He bows. Florida is great, no state income taxes, obviously, 1691 01:40:49,640 --> 01:40:53,240 Speaker 1: fantastic weather, a lot of upside. There a lot of 1692 01:40:53,280 --> 01:40:56,000 Speaker 1: upside close to the Caribbean. Let's not make the housing 1693 01:40:56,040 --> 01:40:58,479 Speaker 1: market go up before we move. That's a good point. 1694 01:40:58,479 --> 01:41:00,280 Speaker 1: Come on, don't do this until, producer Mark I have 1695 01:41:00,320 --> 01:41:04,200 Speaker 1: moved first. Everybody, let us find houses first thing you can. Indeed, 1696 01:41:04,920 --> 01:41:09,200 Speaker 1: all right, Zach Buck, I thought you'd find this funny. 1697 01:41:10,080 --> 01:41:12,519 Speaker 1: I am door dashing for some extra cash, and I 1698 01:41:12,520 --> 01:41:15,120 Speaker 1: always listen to your show while I do it. Anyways, 1699 01:41:15,120 --> 01:41:16,880 Speaker 1: on one order, I went into a restaurant without a 1700 01:41:16,880 --> 01:41:19,519 Speaker 1: mask and the manager yelled at me for not wearing one. 1701 01:41:20,280 --> 01:41:22,599 Speaker 1: My response was, do you expect your patrons to eat 1702 01:41:22,640 --> 01:41:25,160 Speaker 1: with their masks? On two, I'm in the store for 1703 01:41:25,200 --> 01:41:27,720 Speaker 1: five seconds to pick up an order. He had no response. 1704 01:41:27,840 --> 01:41:32,160 Speaker 1: Explains lockdown libs perfectly as always shields high well, Zach, 1705 01:41:32,240 --> 01:41:33,920 Speaker 1: good for you man, stand in your ground. You're one 1706 01:41:33,960 --> 01:41:36,680 Speaker 1: hundred percent right. What kind of dumb assery is that? 1707 01:41:37,479 --> 01:41:39,439 Speaker 1: You know? You go in there for five seconds? Just 1708 01:41:39,640 --> 01:41:41,320 Speaker 1: this is like when I walked through my lobby of 1709 01:41:41,360 --> 01:41:43,680 Speaker 1: my very tall apartment building in New York, which is 1710 01:41:43,720 --> 01:41:46,080 Speaker 1: full of people. I walked through the lobby for five 1711 01:41:46,120 --> 01:41:49,040 Speaker 1: seconds and then outside. I don't have to wear a mask. 1712 01:41:49,240 --> 01:41:50,679 Speaker 1: I want to put a mask on for a five 1713 01:41:50,680 --> 01:41:54,200 Speaker 1: second walk, please. I want to tell these lockdown libs 1714 01:41:54,240 --> 01:41:59,880 Speaker 1: go blankety blanking blank your blank blank blank family show. 1715 01:42:00,000 --> 01:42:04,479 Speaker 1: So I gotta keep it clean. M Patrick buck PS 1716 01:42:04,560 --> 01:42:08,120 Speaker 1: four suggestion The Last of Us, The Last of Us 1717 01:42:08,200 --> 01:42:13,240 Speaker 1: two amazing story post pandemic. Look for the similarities written 1718 01:42:13,240 --> 01:42:18,519 Speaker 1: into this story well before any COVID great game, better story. Okay, Patrick, 1719 01:42:18,560 --> 01:42:20,880 Speaker 1: thank you producer Mark Ry. He's talking about Yeah, I've 1720 01:42:20,880 --> 01:42:22,880 Speaker 1: heard of the game. It's a very very popular game. 1721 01:42:24,280 --> 01:42:27,439 Speaker 1: Have you ever played it? No, remember, I play sports games. 1722 01:42:28,120 --> 01:42:29,880 Speaker 1: I will tell you The Snow Princess and I at 1723 01:42:29,880 --> 01:42:33,800 Speaker 1: dinner recently, I brought up the possibility, specifically brought to 1724 01:42:33,840 --> 01:42:39,200 Speaker 1: my attention by both my two fantastic patriotic red meat 1725 01:42:39,240 --> 01:42:42,040 Speaker 1: eating brothers, that we were all going to that I 1726 01:42:42,080 --> 01:42:43,439 Speaker 1: was going to get PS four So we could all 1727 01:42:43,439 --> 01:42:47,519 Speaker 1: play Call of Duty together. And also Jesse Kelly has 1728 01:42:47,560 --> 01:42:50,439 Speaker 1: been saying that he wants me to do this so 1729 01:42:50,439 --> 01:42:53,120 Speaker 1: that we can play on the same team and or 1730 01:42:53,200 --> 01:42:55,320 Speaker 1: try to kill each other playing against each other in 1731 01:42:55,360 --> 01:42:58,479 Speaker 1: Call of Duty and then talk smack over headsets, which 1732 01:42:58,520 --> 01:43:00,320 Speaker 1: obviously would be a lot of fun. And I brought 1733 01:43:00,360 --> 01:43:01,800 Speaker 1: this up the Snow Princess, and then she went on 1734 01:43:01,840 --> 01:43:03,920 Speaker 1: this whole thing about you have a lot of things 1735 01:43:03,960 --> 01:43:06,559 Speaker 1: that you're trying to do and accomplish, like get back 1736 01:43:06,560 --> 01:43:09,439 Speaker 1: into shape, and like a multi podcast and a hundred 1737 01:43:09,439 --> 01:43:14,400 Speaker 1: other things. Maybe setting up an addictive entertainment machine in 1738 01:43:14,439 --> 01:43:16,920 Speaker 1: your own home as opposed to at least only at 1739 01:43:16,960 --> 01:43:20,080 Speaker 1: your brother's place that will take hours and hours out 1740 01:43:20,120 --> 01:43:22,400 Speaker 1: of your life. Maybe that's not what the Team Buck 1741 01:43:22,439 --> 01:43:23,920 Speaker 1: really wants you to be doing right now. She didn't 1742 01:43:23,960 --> 01:43:25,519 Speaker 1: say it in quite that way, but that was pretty 1743 01:43:25,600 --> 01:43:27,720 Speaker 1: much the message, and I gotta say a message was 1744 01:43:27,760 --> 01:43:30,960 Speaker 1: received on that one for now. I was like, yeah, 1745 01:43:31,040 --> 01:43:33,040 Speaker 1: it's just gonna make things harder if I get one. 1746 01:43:33,120 --> 01:43:34,800 Speaker 1: Do you You don't have one, right, Producer, Mark, of 1747 01:43:34,840 --> 01:43:36,200 Speaker 1: course I do. What do you think I do all 1748 01:43:36,280 --> 01:43:38,760 Speaker 1: day when I'm not working? You have a PS four. Yeah, 1749 01:43:38,720 --> 01:43:43,400 Speaker 1: I do. I not know this. Yeah, I'm alone all week. Yeah, 1750 01:43:43,439 --> 01:43:45,439 Speaker 1: because I know missus Mark is working over at the 1751 01:43:45,800 --> 01:43:49,800 Speaker 1: working at her job. Yeah, what's your favorite game? I 1752 01:43:50,120 --> 01:43:53,040 Speaker 1: usually rotate throughout the sports game. Right now, I'm playing NHL. 1753 01:43:53,160 --> 01:43:57,360 Speaker 1: I'll play the NBA game Madden. Yeah, I'm gonna break down. 1754 01:43:57,360 --> 01:43:59,040 Speaker 1: It's so much fun. I'm gonna break down. Probably, just 1755 01:43:59,080 --> 01:44:00,720 Speaker 1: don't tell the snow princess not to hide it from 1756 01:44:00,720 --> 01:44:02,760 Speaker 1: her somehow. I'm gonna put it in the cabinet and 1757 01:44:02,760 --> 01:44:04,200 Speaker 1: don't tell me to tell her it's like part of 1758 01:44:04,200 --> 01:44:06,400 Speaker 1: my radio gear or something, and hope that you know, 1759 01:44:06,439 --> 01:44:08,720 Speaker 1: I'm gonna like put a different cover on it or 1760 01:44:08,760 --> 01:44:10,599 Speaker 1: I don't have to figure out something. Yeah, exactly, I'm 1761 01:44:10,600 --> 01:44:12,760 Speaker 1: gonna have to keep it with my radio gear and 1762 01:44:12,880 --> 01:44:15,120 Speaker 1: be like don't touch that, you know whatever, whatever anyone 1763 01:44:15,120 --> 01:44:17,680 Speaker 1: goes near my radio stufthing like, don't touch that. So 1764 01:44:17,720 --> 01:44:19,200 Speaker 1: I'll have to just do that and hope that she'll 1765 01:44:19,200 --> 01:44:21,040 Speaker 1: figure it out real fast. Though that's not good. Any 1766 01:44:21,240 --> 01:44:24,479 Speaker 1: I'll think of something. Um, yeah, I think I think 1767 01:44:24,520 --> 01:44:26,600 Speaker 1: that might have to happen. Producer, Nick, do you have 1768 01:44:26,640 --> 01:44:28,599 Speaker 1: a producer? Nick? Put me on the on the text 1769 01:44:28,640 --> 01:44:30,840 Speaker 1: or do you have a PS four? He's got kids? Man, 1770 01:44:30,920 --> 01:44:33,360 Speaker 1: that that means that he's more likely to have a 1771 01:44:33,400 --> 01:44:36,120 Speaker 1: Nintendo Switch because of the Nope, he does not. He 1772 01:44:36,160 --> 01:44:40,000 Speaker 1: does not have kids. Like time's the thing, man, Like, 1773 01:44:40,040 --> 01:44:42,000 Speaker 1: I'm at some point I'm just gonna be like, Yeah, 1774 01:44:42,080 --> 01:44:43,920 Speaker 1: I'm done with trying to save the country and I'm 1775 01:44:43,920 --> 01:44:46,280 Speaker 1: just gonna find a nice, warm place with a view 1776 01:44:46,280 --> 01:44:48,599 Speaker 1: of some water in Florida and just play PS play 1777 01:44:48,680 --> 01:44:50,760 Speaker 1: PS four all day and cook and read books and 1778 01:44:50,800 --> 01:44:52,720 Speaker 1: be left alone. Oh yeah, well, we'll have a nice 1779 01:44:52,760 --> 01:44:55,400 Speaker 1: outdoor setup maybe on our projector next to a pool 1780 01:44:55,479 --> 01:44:57,880 Speaker 1: there we go, and a smoker outside somewhere as well. 1781 01:44:58,000 --> 01:45:03,800 Speaker 1: I'm into it, perfect into it. You're in the freedom. Huh. 1782 01:45:04,240 --> 01:45:11,320 Speaker 1: This is the Buck Sexton Show podcast. More road call, everybody. 1783 01:45:11,400 --> 01:45:13,720 Speaker 1: Remember to go to Bucksexton dot com. I'm gonna be 1784 01:45:13,720 --> 01:45:16,559 Speaker 1: posting a weekend review story there where I just kind 1785 01:45:16,560 --> 01:45:19,040 Speaker 1: of tell you what I think is the biggest takeaways 1786 01:45:19,040 --> 01:45:21,120 Speaker 1: from the week. So we'll have a it'll be an 1787 01:45:21,240 --> 01:45:24,640 Speaker 1: editorial that's going up tomorrow. So please go to Bucksexen 1788 01:45:24,680 --> 01:45:28,840 Speaker 1: dot com and uh, yeah, good things there. Easy to 1789 01:45:28,840 --> 01:45:31,360 Speaker 1: listen to podcast. They're not too we have a new producer. Mark. 1790 01:45:31,400 --> 01:45:34,439 Speaker 1: Have you seen this? We have a new a new button. 1791 01:45:34,479 --> 01:45:36,320 Speaker 1: When you go to buckxxen dot com. You just you 1792 01:45:36,320 --> 01:45:40,880 Speaker 1: you open the page and there's a plugin play. You 1793 01:45:40,960 --> 01:45:43,200 Speaker 1: just press play. Wait is it up yet? Or do 1794 01:45:43,280 --> 01:45:45,120 Speaker 1: I get ahead of us? I might? I might be 1795 01:45:45,160 --> 01:45:48,240 Speaker 1: ahead of things here. Darnet. It's gonna be there soon. 1796 01:45:49,160 --> 01:45:50,880 Speaker 1: I mean there is yeah, I mean there's always a 1797 01:45:50,880 --> 01:45:53,120 Speaker 1: place right on the homepage. No, there's it. But there's 1798 01:45:53,160 --> 01:45:55,360 Speaker 1: an auto play. Now that's gonna be All you have 1799 01:45:55,360 --> 01:45:58,000 Speaker 1: to do is press play on the big anyway, you 1800 01:45:58,040 --> 01:46:00,280 Speaker 1: really shouldn't make sure these things are enacted before you 1801 01:46:00,320 --> 01:46:02,160 Speaker 1: say them on the radio. It's gonna be soon, though, 1802 01:46:02,160 --> 01:46:05,960 Speaker 1: It's gonna be soon, folks, trust me, Trust me, all right, 1803 01:46:06,040 --> 01:46:10,120 Speaker 1: Dan buck Well, I appreciate that you referenced the Asian 1804 01:46:10,120 --> 01:46:13,719 Speaker 1: American experience as a counter to the BLM leftist narrative. 1805 01:46:13,880 --> 01:46:16,679 Speaker 1: As in Asian American from the Garden State, New Jersey. 1806 01:46:17,000 --> 01:46:19,160 Speaker 1: I should point out that it's not that simple. You 1807 01:46:19,200 --> 01:46:21,080 Speaker 1: and I around the same age. At the messages we 1808 01:46:21,120 --> 01:46:24,040 Speaker 1: received growing up were quite different. Every step of the way. 1809 01:46:24,080 --> 01:46:26,439 Speaker 1: I was told I had to be better, much better 1810 01:46:26,680 --> 01:46:29,639 Speaker 1: than my non Asian counterparts to attain the same success. 1811 01:46:30,080 --> 01:46:32,759 Speaker 1: As it turns out that message was correct. The Harvard 1812 01:46:32,800 --> 01:46:36,400 Speaker 1: lawsuit from rejected Asian applicants shows it, simply put, I 1813 01:46:36,520 --> 01:46:40,559 Speaker 1: utterly destroyed every standardized test I ever took, and you'd 1814 01:46:40,560 --> 01:46:43,519 Speaker 1: be astonished at the colleges that didn't accept me. And 1815 01:46:43,560 --> 01:46:45,479 Speaker 1: just for good measure, it did not matter that I 1816 01:46:45,560 --> 01:46:48,400 Speaker 1: was All League on my track team. Well, Damnon, thanks 1817 01:46:48,400 --> 01:46:50,240 Speaker 1: for running in and yeah, I know what you're saying 1818 01:46:50,320 --> 01:46:54,720 Speaker 1: is true, and I know it's true, and I know 1819 01:46:54,760 --> 01:46:58,439 Speaker 1: I went to a scholarship school, scholarship private high school 1820 01:46:58,439 --> 01:47:01,519 Speaker 1: in New York where everyone goes for free, and I'm 1821 01:47:01,760 --> 01:47:04,479 Speaker 1: the Asian students in my class. We're all very tense 1822 01:47:04,920 --> 01:47:08,639 Speaker 1: about their college application experience because they knew that even 1823 01:47:09,080 --> 01:47:11,840 Speaker 1: even with you know, sixteen hundred boards and a straight 1824 01:47:11,880 --> 01:47:14,120 Speaker 1: A average, they were going to get into a great school, 1825 01:47:14,160 --> 01:47:17,479 Speaker 1: but they might not get into Harvard. So and I 1826 01:47:17,520 --> 01:47:20,839 Speaker 1: knew people like that. But yeah, no, you're you're correct 1827 01:47:20,880 --> 01:47:22,920 Speaker 1: on that, Dan, So thank you for writing in and 1828 01:47:22,960 --> 01:47:25,679 Speaker 1: bringing that to our attention. Thanks for listening to the show. Team. 1829 01:47:25,720 --> 01:47:27,439 Speaker 1: That's gonna be it for today Tomorrow We're gonna have 1830 01:47:27,479 --> 01:47:28,920 Speaker 1: a great show. A lot of fun. Make sure you 1831 01:47:29,040 --> 01:47:31,759 Speaker 1: tune in. Pass the Buck. Please get a friend, please 1832 01:47:31,800 --> 01:47:34,479 Speaker 1: please get a friend to listen to the podcast of 1833 01:47:34,520 --> 01:47:38,160 Speaker 1: The Buck Sexton Show this week until next time. She's high.