1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of The Clay, Travis and Buck 2 00:00:03,360 --> 00:00:06,600 Speaker 1: Sexton Show podcast. The third hour of The Clay Travis 3 00:00:06,600 --> 00:00:10,000 Speaker 1: and Buck Sexton Shows starts now. Thanks for rolling with 4 00:00:10,080 --> 00:00:14,160 Speaker 1: us and our special guest today, Friend of the Show, 5 00:00:14,400 --> 00:00:18,640 Speaker 1: We've been with him in the bunker dealing with the 6 00:00:18,760 --> 00:00:22,520 Speaker 1: onslaught of fauci i'de madness now from the very beginning 7 00:00:22,520 --> 00:00:24,520 Speaker 1: of the Clay and Buck Show and before that on 8 00:00:24,600 --> 00:00:28,680 Speaker 1: Clay's Show and The Buck Sexton Show are two shows respectively, 9 00:00:29,400 --> 00:00:33,160 Speaker 1: and he's had a big win. Alex Barrenson with us now, 10 00:00:33,320 --> 00:00:37,720 Speaker 1: author of so many things. A great sub stack Unreported 11 00:00:37,720 --> 00:00:42,720 Speaker 1: Truths about COVID nineteen pandemia is his book. And apparently, sir, 12 00:00:43,520 --> 00:00:46,840 Speaker 1: you have a Twitter account again. I do. I'm back 13 00:00:46,920 --> 00:00:50,200 Speaker 1: from the dead. I'm no longer a hungry goose. Tell 14 00:00:50,240 --> 00:00:52,120 Speaker 1: everybody why it's a big deal, because for those of 15 00:00:52,240 --> 00:00:54,200 Speaker 1: us who work in the media, we're like, wow, they 16 00:00:54,240 --> 00:00:59,120 Speaker 1: actually let him have his Twitter account back. So last 17 00:00:59,280 --> 00:01:02,560 Speaker 1: are you start twenty eight? I was banned, Um, you know, 18 00:01:02,600 --> 00:01:05,800 Speaker 1: as Twitter twitters banned other people, but I was banned. 19 00:01:05,840 --> 00:01:10,880 Speaker 1: I got my fifth strike, supposedly for COVID misinformation. Um, 20 00:01:10,920 --> 00:01:14,440 Speaker 1: and you know, that leads to a permanent suspension. Um. 21 00:01:14,480 --> 00:01:17,720 Speaker 1: And you know, other people, many other people have been suspended, 22 00:01:17,760 --> 00:01:20,000 Speaker 1: mostly on the right. I mean, I don't consider myself, 23 00:01:20,040 --> 00:01:23,119 Speaker 1: you know, super conservative, but most people you know, either 24 00:01:23,200 --> 00:01:26,640 Speaker 1: on the right or who raised questions dot COVID, h 25 00:01:27,000 --> 00:01:29,399 Speaker 1: A and the vaccines have been suspended in the last 26 00:01:29,440 --> 00:01:32,000 Speaker 1: couple of years. There's also been trans you know, anti 27 00:01:32,560 --> 00:01:35,240 Speaker 1: anti trans or people who you know, raised questions about 28 00:01:35,880 --> 00:01:41,000 Speaker 1: trans issues have been suspended. Okay, in general. Um, when 29 00:01:41,000 --> 00:01:43,440 Speaker 1: people have been suspended, UM, there's been no route back 30 00:01:43,520 --> 00:01:46,800 Speaker 1: for them. Um. You know Donald Trump was suspended, uh 31 00:01:47,160 --> 00:01:49,560 Speaker 1: famously at ninety million followers. He was a president of 32 00:01:49,560 --> 00:01:51,960 Speaker 1: the United States. He couldn't get back on. He sued, 33 00:01:52,040 --> 00:01:55,200 Speaker 1: his suit was dismissed. Um, this has been the case 34 00:01:55,240 --> 00:02:00,560 Speaker 1: for basically everybody. UM. I sued last December, and my 35 00:02:00,640 --> 00:02:04,960 Speaker 1: suit in April survived the motion to dismiss, which Twitter filed. 36 00:02:05,000 --> 00:02:08,280 Speaker 1: Twitter tried to get the suit dismissed. Now this is 37 00:02:08,639 --> 00:02:12,160 Speaker 1: I had some communications with a Twitter executive in which 38 00:02:12,160 --> 00:02:15,040 Speaker 1: he told me, hey, you know, we are we are 39 00:02:15,080 --> 00:02:18,640 Speaker 1: basically okay with what you're doing for a while, and 40 00:02:18,639 --> 00:02:24,519 Speaker 1: then that stopped. But but here's why this is so significant. 41 00:02:24,600 --> 00:02:27,120 Speaker 1: So other people don't have those communications, They don't have 42 00:02:27,200 --> 00:02:30,480 Speaker 1: representations from Twitter saying you know what, like we're okay. 43 00:02:30,800 --> 00:02:33,600 Speaker 1: But the real reason the judge allowed my lawsuit to 44 00:02:33,639 --> 00:02:37,160 Speaker 1: go forward wasn't just that. It was that he said, look, 45 00:02:37,440 --> 00:02:41,280 Speaker 1: if Twitter's going to have a five strike policy about misinformation, 46 00:02:41,800 --> 00:02:44,000 Speaker 1: then it has to show that it applied that. Now 47 00:02:44,080 --> 00:02:46,120 Speaker 1: Twitter's gonna say we can just kick you off whenever 48 00:02:46,160 --> 00:02:48,359 Speaker 1: we want for no good reason. It doesn't matter how 49 00:02:48,360 --> 00:02:51,160 Speaker 1: many followers do you have. We're Twitter or we're Facebook. 50 00:02:51,200 --> 00:02:53,760 Speaker 1: We can do whatever we want under Section two thirty 51 00:02:53,800 --> 00:02:56,679 Speaker 1: of the Communications Decency Act, which is the federal law 52 00:02:56,720 --> 00:02:59,440 Speaker 1: that protects these companies. Then okay, then they're going to 53 00:02:59,520 --> 00:03:02,200 Speaker 1: say that. But if they're going to say, we actually 54 00:03:02,240 --> 00:03:05,520 Speaker 1: have rules, we don't do things randomly, then they have 55 00:03:05,600 --> 00:03:09,040 Speaker 1: to follow those rules. And I'm going to say that 56 00:03:09,080 --> 00:03:12,679 Speaker 1: it looks like this guy's shown that, you know, he 57 00:03:13,680 --> 00:03:16,240 Speaker 1: has a case at least that you didn't follow your 58 00:03:16,280 --> 00:03:18,600 Speaker 1: own rules, and so I'm going to allow this lawsuit 59 00:03:18,639 --> 00:03:21,280 Speaker 1: to proceed. And that led and this and I can't 60 00:03:21,320 --> 00:03:23,800 Speaker 1: talk very much about the settlement, but that led Twitter 61 00:03:23,960 --> 00:03:27,160 Speaker 1: and me to settlement discussions, and those settlement. Discussions have 62 00:03:27,200 --> 00:03:29,799 Speaker 1: now concluded and I'm back on the platform, and they 63 00:03:29,800 --> 00:03:33,040 Speaker 1: have acknowledged this is very important that they shouldn't have 64 00:03:33,240 --> 00:03:37,120 Speaker 1: kicked me off. So so to me, even though I 65 00:03:37,200 --> 00:03:41,600 Speaker 1: have this sort of special communication with Twitter that you 66 00:03:41,640 --> 00:03:44,760 Speaker 1: know that was helpful to me, this this precedent that 67 00:03:44,800 --> 00:03:48,600 Speaker 1: I have said that Twitter needs, or you know, or 68 00:03:48,680 --> 00:03:51,880 Speaker 1: Facebook or Instagram. If they're going to have rules, they 69 00:03:51,960 --> 00:03:55,880 Speaker 1: need to apply those rules fairly. I think and hope 70 00:03:55,960 --> 00:03:58,800 Speaker 1: that that's a bigger issue going forward. So I think 71 00:03:58,800 --> 00:04:01,120 Speaker 1: this is not just important for me. I think it's 72 00:04:01,160 --> 00:04:05,120 Speaker 1: important for anybody who feels they were kicked off unfairly. Now, 73 00:04:05,120 --> 00:04:07,120 Speaker 1: look if you if you you know, if you start 74 00:04:07,240 --> 00:04:10,800 Speaker 1: you know, uh, you know docts and your girlfriend or 75 00:04:11,880 --> 00:04:14,840 Speaker 1: or you know, posting, you know that you know that 76 00:04:14,880 --> 00:04:17,400 Speaker 1: I remember, this report should be shot like you can 77 00:04:17,480 --> 00:04:21,000 Speaker 1: expect to be suspended and I understand that. But if 78 00:04:21,440 --> 00:04:23,599 Speaker 1: but if there are you know, if there are things 79 00:04:23,640 --> 00:04:26,960 Speaker 1: that you know, reasonable people are trying to debate and discuss, 80 00:04:27,720 --> 00:04:31,520 Speaker 1: I think the platforms have a responsibility to to follow 81 00:04:31,560 --> 00:04:34,919 Speaker 1: their own rules. And that's what this is about, Alex. 82 00:04:35,120 --> 00:04:37,720 Speaker 1: A couple of things. One people should know. All of 83 00:04:37,760 --> 00:04:41,080 Speaker 1: your old tweets are now back up, right, So not 84 00:04:41,200 --> 00:04:43,480 Speaker 1: only did they return you, it's not like they wiped 85 00:04:43,560 --> 00:04:47,080 Speaker 1: everything you had said clean. It appears everything that you 86 00:04:47,080 --> 00:04:50,520 Speaker 1: have ever tweeted has been returned as well as it 87 00:04:50,520 --> 00:04:54,880 Speaker 1: appears your old followers are back now. A big part, 88 00:04:55,279 --> 00:05:00,159 Speaker 1: allegedly of your lawsuit was that the government may have 89 00:05:00,279 --> 00:05:05,680 Speaker 1: been involved in encouraging Twitter to take this action against you. 90 00:05:06,400 --> 00:05:10,040 Speaker 1: Is that part of the lawsuit still in play? What 91 00:05:10,120 --> 00:05:13,159 Speaker 1: can you tell us about a potential because this is 92 00:05:13,160 --> 00:05:16,159 Speaker 1: what's scary to a lot of people, myself, Buck certainly 93 00:05:16,200 --> 00:05:19,240 Speaker 1: many of our listeners out there as well. Is the 94 00:05:19,279 --> 00:05:22,280 Speaker 1: idea that the government could go to a social media 95 00:05:22,360 --> 00:05:25,360 Speaker 1: company say we don't like what this guy or what 96 00:05:25,400 --> 00:05:28,320 Speaker 1: this girl is saying, and we want you to take 97 00:05:28,400 --> 00:05:32,200 Speaker 1: action against them, which is potentially a part of why 98 00:05:32,240 --> 00:05:37,719 Speaker 1: Twitter acted as well. What can you tell us about that? Yes, so, 99 00:05:37,720 --> 00:05:41,320 Speaker 1: so in the initial my initial claim, my initial lawsuit 100 00:05:41,320 --> 00:05:43,640 Speaker 1: against Twitter, I raised those issues, and I raised them 101 00:05:43,640 --> 00:05:47,039 Speaker 1: on those schedl grams and California state grounds. Actually, because 102 00:05:47,040 --> 00:05:51,520 Speaker 1: the California constitution is quite friendly to free speech. The 103 00:05:51,640 --> 00:05:55,120 Speaker 1: judge tossed those claims in August. I'm sorry. In April, 104 00:05:55,160 --> 00:05:57,440 Speaker 1: he allowed the lawsuit to proceed on a breach of 105 00:05:57,520 --> 00:06:02,960 Speaker 1: contract basis. But I'm multaneously he said, We're going to 106 00:06:03,040 --> 00:06:06,120 Speaker 1: allow or I'm gonna I'm gonna force Twitter to give 107 00:06:06,200 --> 00:06:10,000 Speaker 1: up all its third party communications with and with the 108 00:06:10,040 --> 00:06:13,160 Speaker 1: government and with other people about you. So so, in 109 00:06:13,160 --> 00:06:17,000 Speaker 1: other words, Twitter's posted towards me changed dramatically last summer, 110 00:06:17,360 --> 00:06:20,520 Speaker 1: and we still don't know why that is at this point. Okay, 111 00:06:20,960 --> 00:06:23,440 Speaker 1: But but Twitter is going to have to provide a 112 00:06:23,480 --> 00:06:26,920 Speaker 1: lot of what's called discovery in vil terms, meaning meaning 113 00:06:26,920 --> 00:06:29,160 Speaker 1: it's literally like I'm going to discover what they knew 114 00:06:29,160 --> 00:06:32,839 Speaker 1: and I didn't know. Now I cannot talk about the 115 00:06:32,880 --> 00:06:35,240 Speaker 1: specifics of the settlement, but here's what I can say. 116 00:06:35,320 --> 00:06:38,400 Speaker 1: I send very publicly last month, a month ago today 117 00:06:38,760 --> 00:06:41,359 Speaker 1: on my subject. I am not going to settle this 118 00:06:41,440 --> 00:06:47,080 Speaker 1: claim unless Twitter provides discovery and the right for me 119 00:06:47,120 --> 00:06:50,120 Speaker 1: to publish. Okay, And I've now settled the claim. So 120 00:06:50,320 --> 00:06:52,919 Speaker 1: in the next uh, you know, in the next month 121 00:06:53,040 --> 00:06:54,520 Speaker 1: or a couple of months, I hope to have more 122 00:06:54,560 --> 00:06:57,760 Speaker 1: to say about this. Have you been constraint? Yeah, okay. 123 00:06:57,760 --> 00:06:59,760 Speaker 1: The only thing I'll ask you is this, have you 124 00:06:59,839 --> 00:07:03,960 Speaker 1: been able or will you be able to potentially review 125 00:07:04,080 --> 00:07:08,120 Speaker 1: that discovery yourself in a way that could allow you 126 00:07:08,200 --> 00:07:10,920 Speaker 1: to write or talk about it in the future. I 127 00:07:11,240 --> 00:07:13,240 Speaker 1: will go back to what I said, which is that 128 00:07:13,360 --> 00:07:16,480 Speaker 1: I wouldn't settle the lawsuit unless I had the right 129 00:07:16,880 --> 00:07:20,040 Speaker 1: or the discovery and to publish it. Speaking of Alex Parrinson, 130 00:07:20,080 --> 00:07:22,400 Speaker 1: author of Pandemia has got a substack on report of 131 00:07:22,400 --> 00:07:24,360 Speaker 1: truths about COVID, I want to take us back to 132 00:07:24,440 --> 00:07:29,320 Speaker 1: COVID because Clay and I refuse to let this stuff go, 133 00:07:29,720 --> 00:07:33,440 Speaker 1: especially with an election looming. I put aside the crappy 134 00:07:33,480 --> 00:07:36,240 Speaker 1: economy and all the Biden idiocy that people are now 135 00:07:36,280 --> 00:07:39,480 Speaker 1: becoming all too familiar with. I would vote against anybody 136 00:07:39,520 --> 00:07:41,640 Speaker 1: who was wrong on COVID on that issue only, and 137 00:07:41,640 --> 00:07:43,520 Speaker 1: feel good about it. I would vote against people that 138 00:07:43,800 --> 00:07:46,440 Speaker 1: push vaccine mandates, and I would argue that anybody else 139 00:07:46,600 --> 00:07:50,400 Speaker 1: who's being sane should vote against mass mandate, vaccine mandate, 140 00:07:50,480 --> 00:07:55,640 Speaker 1: lockdown lunatics that all said. I was just in Aspville, Alex. 141 00:07:55,680 --> 00:07:57,200 Speaker 1: You're not on Twitter, so you didn't see this. It 142 00:07:57,320 --> 00:08:00,960 Speaker 1: was trending nationally because I just remarked on how wow, 143 00:08:01,120 --> 00:08:03,000 Speaker 1: like everybody in the stores here is we're an N 144 00:08:03,080 --> 00:08:05,320 Speaker 1: ninety five masks. What the heck is going on? Caused 145 00:08:05,360 --> 00:08:10,160 Speaker 1: a firestorm. All the blue haired Libs freaked out, And 146 00:08:10,280 --> 00:08:11,840 Speaker 1: I think it was a reminder not just to me 147 00:08:11,960 --> 00:08:13,760 Speaker 1: but to anybody who was paying attention to that little 148 00:08:13,840 --> 00:08:16,800 Speaker 1: ruckus that there are a lot of people for whom 149 00:08:16,960 --> 00:08:19,240 Speaker 1: nothing has changed. They're ready to get the next three 150 00:08:19,320 --> 00:08:21,920 Speaker 1: rounds of shots, They're ready for more masks. What can 151 00:08:21,960 --> 00:08:24,480 Speaker 1: you tell us about you know what, what's the latest 152 00:08:24,600 --> 00:08:27,680 Speaker 1: on the shots and on the masks? Sure, I mean so, 153 00:08:27,760 --> 00:08:29,680 Speaker 1: I don't know if it's a lot, though, I think 154 00:08:29,680 --> 00:08:31,920 Speaker 1: it might be ten to twenty percent on the population. 155 00:08:32,080 --> 00:08:36,480 Speaker 1: Now it's over represented in the media, in the political class, 156 00:08:36,840 --> 00:08:39,640 Speaker 1: you know, sort of in the in the culture making classes. 157 00:08:39,920 --> 00:08:43,360 Speaker 1: But but but I fare twenty percent is sixty million people, right, 158 00:08:43,400 --> 00:08:45,640 Speaker 1: so you know, and it's and it's more than that 159 00:08:45,720 --> 00:08:47,920 Speaker 1: in the people who you know, determine what you see 160 00:08:47,960 --> 00:08:51,400 Speaker 1: on TV or you know lead right. So, um, so 161 00:08:51,679 --> 00:08:53,040 Speaker 1: it's a it is a lot of people to a 162 00:08:53,080 --> 00:08:56,480 Speaker 1: significant number. Here's here's how you know that this is 163 00:08:56,559 --> 00:09:00,840 Speaker 1: that this is just bs and feeder. Okay, the shots 164 00:09:00,880 --> 00:09:03,000 Speaker 1: for kids came out, I mean little kids, these kids 165 00:09:03,040 --> 00:09:06,400 Speaker 1: under five came out about ten days ago. One percent 166 00:09:07,000 --> 00:09:11,400 Speaker 1: of kids under five have gotten these shots. Wow, okay, right, 167 00:09:12,120 --> 00:09:16,719 Speaker 1: I mean, if it's not a resounding rejection of everything 168 00:09:16,800 --> 00:09:20,199 Speaker 1: that's gone on. Everybody knows, okay, everybody knows the shots 169 00:09:20,240 --> 00:09:23,360 Speaker 1: don't work, and this and this incredibly cynical game they're 170 00:09:23,400 --> 00:09:26,719 Speaker 1: playing up. Oh, this Omicron specific booster is going to 171 00:09:26,800 --> 00:09:30,640 Speaker 1: make a difference. They know very well it makes no difference. Okay, 172 00:09:30,920 --> 00:09:33,880 Speaker 1: you get a few extra anybodies against Omicron, you still 173 00:09:33,920 --> 00:09:36,880 Speaker 1: don't get nearly as many anybody's against Omicron with the 174 00:09:36,960 --> 00:09:40,160 Speaker 1: Omicron shot as you did against the original variant with 175 00:09:40,240 --> 00:09:43,560 Speaker 1: the original shot. Okay, that's just a fact. They know it. 176 00:09:43,920 --> 00:09:46,120 Speaker 1: They know this isn't going to work against Amicron. It's 177 00:09:46,160 --> 00:09:48,200 Speaker 1: just an excuse to try to get this, like sad, 178 00:09:48,240 --> 00:09:50,839 Speaker 1: pathetic twenty percent of the population happy enough to get 179 00:09:50,880 --> 00:09:54,280 Speaker 1: out of their houses. And you know, even worse the kids, 180 00:09:54,280 --> 00:09:56,800 Speaker 1: the people who wouldn't let their kids do anything normal 181 00:09:56,840 --> 00:09:59,280 Speaker 1: for the last two years, those people are the only 182 00:09:59,280 --> 00:10:01,120 Speaker 1: ones who gotten What did we find out? I mean, 183 00:10:01,120 --> 00:10:04,080 Speaker 1: because we were being told all the time about the 184 00:10:04,160 --> 00:10:08,000 Speaker 1: mortality data for those who got the shots, Do we 185 00:10:08,080 --> 00:10:12,160 Speaker 1: have good numbers? You know? That that's a big question 186 00:10:12,200 --> 00:10:14,240 Speaker 1: that it feels like we haven't gotten an answer to yet. 187 00:10:14,760 --> 00:10:17,800 Speaker 1: We don't. I mean, it's it's such a the mortality 188 00:10:17,840 --> 00:10:20,640 Speaker 1: data is so messy, and you shooes right now because 189 00:10:20,880 --> 00:10:23,760 Speaker 1: because first of all, omicron is milder, people die with 190 00:10:23,920 --> 00:10:26,560 Speaker 1: it rather than from it. Second, a pax Lillwood I think, 191 00:10:26,600 --> 00:10:31,720 Speaker 1: actually has some sufiser drug anty u ntry retroviral drugs 192 00:10:31,760 --> 00:10:34,480 Speaker 1: that actually I think works to some extent, so that 193 00:10:34,520 --> 00:10:36,840 Speaker 1: has saved some lives. And then you have people with 194 00:10:36,880 --> 00:10:38,920 Speaker 1: previous immunity. And you have the fact that in the 195 00:10:39,040 --> 00:10:42,360 Speaker 1: United States where um, you know where where we have 196 00:10:42,480 --> 00:10:44,480 Speaker 1: had multiple ways of this over the last couple of years, 197 00:10:44,480 --> 00:10:46,880 Speaker 1: the most vulnerable people, unfortunately one of them have died. 198 00:10:47,440 --> 00:10:50,760 Speaker 1: So I think it's very hard to know both what 199 00:10:50,840 --> 00:10:53,600 Speaker 1: the you know, quote unquote weal mortality rate of omicron 200 00:10:53,840 --> 00:10:58,960 Speaker 1: is and um, whether vaccines do any good in stopping that. 201 00:10:59,800 --> 00:11:02,360 Speaker 1: I I just I you will never hear that though 202 00:11:02,400 --> 00:11:05,200 Speaker 1: they will never admit this. It's the last bastion is 203 00:11:05,200 --> 00:11:08,160 Speaker 1: Oh yeah, they don't work against you know, infection or 204 00:11:08,160 --> 00:11:10,600 Speaker 1: transmission at all, these shots, but they do help prevent 205 00:11:10,640 --> 00:11:13,680 Speaker 1: you from dying or you know, being hospitalized, and because 206 00:11:13,720 --> 00:11:16,520 Speaker 1: the data is so so messy, they're going to be 207 00:11:16,520 --> 00:11:18,400 Speaker 1: able to say that forever, and they will say forever. 208 00:11:19,120 --> 00:11:20,520 Speaker 1: So what is it going to look like? I know, 209 00:11:20,600 --> 00:11:23,800 Speaker 1: predicting anything COVID has been a huge challenge, but I 210 00:11:24,240 --> 00:11:28,959 Speaker 1: believe we're now the dominant strain is BA five if 211 00:11:29,000 --> 00:11:32,720 Speaker 1: I'm not mistaken. Okay, So what does it look like? 212 00:11:32,920 --> 00:11:36,400 Speaker 1: It's just going to keep infecting people, and I think 213 00:11:36,440 --> 00:11:40,600 Speaker 1: it actually preferentially infects people who've been vaccinated. Again, the 214 00:11:40,720 --> 00:11:43,000 Speaker 1: data on that is, you know, is not great, but 215 00:11:43,040 --> 00:11:45,079 Speaker 1: it's starting to look like, Alex, that's what I was 216 00:11:45,120 --> 00:11:47,240 Speaker 1: going to lead to. It's starting to look like the 217 00:11:47,320 --> 00:11:51,160 Speaker 1: people who get COVID shots are now way more likely 218 00:11:51,200 --> 00:11:53,640 Speaker 1: to get COVID than the people who either have natural 219 00:11:53,679 --> 00:11:56,040 Speaker 1: immunity or just have chosen not to get these shots. 220 00:11:56,760 --> 00:11:59,200 Speaker 1: It certainly looks that way, and there's good reason to 221 00:11:59,280 --> 00:12:01,480 Speaker 1: believe that might be the case, because the shots do 222 00:12:02,040 --> 00:12:05,680 Speaker 1: hinder your development of anti and antibodies, which is another 223 00:12:05,720 --> 00:12:08,559 Speaker 1: part of the virus. And even though that's not on 224 00:12:08,600 --> 00:12:11,400 Speaker 1: the shell of the virus, it does seem that having 225 00:12:11,480 --> 00:12:15,079 Speaker 1: anti end antibodies and T cells that can recognize that 226 00:12:15,160 --> 00:12:18,120 Speaker 1: the the the end protein is an important part of 227 00:12:18,120 --> 00:12:20,680 Speaker 1: your immune response, and these people who've been vaccinated don't 228 00:12:20,679 --> 00:12:23,680 Speaker 1: seem to get that those as much because the vaccine 229 00:12:23,800 --> 00:12:26,880 Speaker 1: so biases their immune system towards the end, towards the 230 00:12:26,880 --> 00:12:30,880 Speaker 1: spike protein. So, yes, it does look like you're going 231 00:12:30,920 --> 00:12:33,559 Speaker 1: to keep getting infected more. You're more likely to keep 232 00:12:33,559 --> 00:12:36,160 Speaker 1: getting infected if you were vaccinated. Then if you've just 233 00:12:36,200 --> 00:12:39,200 Speaker 1: you know, got the virus and recovered naturally. Now, as 234 00:12:39,240 --> 00:12:42,920 Speaker 1: long as amicon is not too dangerous, you know, it's 235 00:12:42,960 --> 00:12:45,320 Speaker 1: just going to be a cold or a minor, you know, 236 00:12:45,360 --> 00:12:47,640 Speaker 1: flute type illness for a lot of people. The worry 237 00:12:47,920 --> 00:12:51,840 Speaker 1: is that somehow this you know, this mutates, it becomes 238 00:12:51,840 --> 00:12:55,000 Speaker 1: more dangerous again, and then these movement vaccinated will really 239 00:12:55,040 --> 00:12:57,920 Speaker 1: have a problem. I you know, I hope that that 240 00:12:57,960 --> 00:13:00,000 Speaker 1: does not happen, because not just in the United States, 241 00:13:00,080 --> 00:13:05,160 Speaker 1: all over the industrialized world, first world. You know, a 242 00:13:05,320 --> 00:13:08,560 Speaker 1: huge number of people have gotten the mr Anda vaccine. 243 00:13:09,640 --> 00:13:12,840 Speaker 1: You mentioned one percent of kids. The New York Times 244 00:13:12,920 --> 00:13:15,959 Speaker 1: obviously covered this as if it were a new birth 245 00:13:16,000 --> 00:13:19,280 Speaker 1: of freedom. That six month old to five year olds 246 00:13:19,320 --> 00:13:21,320 Speaker 1: they had all these tar I feel so bad for 247 00:13:21,360 --> 00:13:23,200 Speaker 1: these kids, But They had all these parents who said, 248 00:13:23,360 --> 00:13:26,000 Speaker 1: I haven't let my kid play a sport in two years. 249 00:13:26,000 --> 00:13:28,800 Speaker 1: They barely left the house. We haven't been to a restaurant, 250 00:13:28,840 --> 00:13:31,400 Speaker 1: we haven't been to a family you know, a fair 251 00:13:31,720 --> 00:13:34,320 Speaker 1: or anything that a young kid would love and enjoy. 252 00:13:35,000 --> 00:13:37,600 Speaker 1: Only one percent, according to your data, in the first 253 00:13:37,640 --> 00:13:41,000 Speaker 1: ten days, are actually getting that getting a shot. What 254 00:13:41,080 --> 00:13:43,920 Speaker 1: does this suggest the percentages are going to be and 255 00:13:44,320 --> 00:13:47,520 Speaker 1: alex New York City Eric Adams is talking about maybe 256 00:13:47,559 --> 00:13:50,120 Speaker 1: mandating that all kids have the COVID shot in order 257 00:13:50,160 --> 00:13:52,920 Speaker 1: to go to school. Certainly this is something Gavin Newsom 258 00:13:52,920 --> 00:13:56,199 Speaker 1: in California has said, what sort of battles are we 259 00:13:56,280 --> 00:13:59,760 Speaker 1: looking like we may have to fight based on this? 260 00:14:00,520 --> 00:14:03,440 Speaker 1: I don't think that's going to happen. You know, California 261 00:14:03,480 --> 00:14:06,920 Speaker 1: came the closest and they've backed off. You can't you 262 00:14:06,960 --> 00:14:10,199 Speaker 1: can't mandate something that you know that's been dish rejected 263 00:14:10,200 --> 00:14:12,280 Speaker 1: by parents. And you could say, okay, like it's a 264 00:14:12,400 --> 00:14:14,120 Speaker 1: six month old, they're not going to school, but five 265 00:14:14,200 --> 00:14:17,240 Speaker 1: to eleven year old, um only I think about thirty 266 00:14:17,240 --> 00:14:19,200 Speaker 1: percent of those kids have been vaccinated, and those are 267 00:14:19,200 --> 00:14:22,920 Speaker 1: off school age kids, So it is impossible. I mean 268 00:14:23,000 --> 00:14:24,680 Speaker 1: I you know, I joked, but it wasn't really joke. 269 00:14:24,880 --> 00:14:27,080 Speaker 1: There would have to be tanks in the streets, you know, 270 00:14:27,200 --> 00:14:30,640 Speaker 1: to force school vaccine mandage, and I don't California has 271 00:14:30,640 --> 00:14:34,480 Speaker 1: already basically backed off that um and I think I 272 00:14:34,520 --> 00:14:36,080 Speaker 1: think New York is not going to do it. I mean, 273 00:14:36,080 --> 00:14:38,240 Speaker 1: if the public schools aren't enough trouble, they don't need 274 00:14:38,320 --> 00:14:40,640 Speaker 1: this trouble on top of it. And the teachers unions, 275 00:14:41,120 --> 00:14:43,000 Speaker 1: you know, I think their noses are a little bit bloody. 276 00:14:43,040 --> 00:14:45,160 Speaker 1: I think they're going to back off, you know. I'd 277 00:14:45,160 --> 00:14:48,400 Speaker 1: like to say something. Okay, it's easy for those of 278 00:14:48,480 --> 00:14:52,520 Speaker 1: us who were not jabbed and people who were to 279 00:14:53,000 --> 00:14:56,560 Speaker 1: forget what happened last summer. Okay, last summer ms fall. 280 00:14:56,600 --> 00:14:58,880 Speaker 1: But there was a real effort in the United States 281 00:14:59,080 --> 00:15:02,800 Speaker 1: and really all over the Western world to take rights 282 00:15:02,840 --> 00:15:05,240 Speaker 1: away from those of us who chose not to get 283 00:15:05,280 --> 00:15:08,320 Speaker 1: what it was basically an experimental vaccine. And that was 284 00:15:08,480 --> 00:15:10,880 Speaker 1: after it had become clear to people who are watching 285 00:15:10,920 --> 00:15:13,600 Speaker 1: closely that the vaccines were much less effective than everything. Yeah, 286 00:15:13,640 --> 00:15:15,440 Speaker 1: it was medical fascism, let's call it what it is. 287 00:15:15,440 --> 00:15:17,480 Speaker 1: And Biden pushed it on everybody, and the Supreme court 288 00:15:17,480 --> 00:15:19,920 Speaker 1: had to step in and it was atrocious. That's right, 289 00:15:19,960 --> 00:15:23,320 Speaker 1: and it cannot be forgotten and it should never ever 290 00:15:23,480 --> 00:15:27,040 Speaker 1: happen again. Amen, Alex Berenson. Guys, go subscribe to a 291 00:15:27,120 --> 00:15:30,080 Speaker 1: substack and if you're on Twitter, Alex Berenson on Twitter, 292 00:15:30,160 --> 00:15:34,360 Speaker 1: congrat sir, thank you, thanks so much, big win for 293 00:15:34,440 --> 00:15:38,000 Speaker 1: Alex Berenson. Welcome back to the Twitter universe. It is it. 294 00:15:38,120 --> 00:15:40,920 Speaker 1: You want to be there. We know, and you know, 295 00:15:41,160 --> 00:15:43,560 Speaker 1: anyone who listens to this show knows that we are 296 00:15:43,640 --> 00:15:46,800 Speaker 1: bastions of free speech in a world where free speech 297 00:15:46,840 --> 00:15:50,920 Speaker 1: is increasingly rare, and so is Mike Lindell. And he 298 00:15:50,960 --> 00:15:54,760 Speaker 1: has created an entire business surrounding his initial product, which 299 00:15:54,840 --> 00:15:57,800 Speaker 1: was My Pillow, and because he is so spoken out, 300 00:15:58,400 --> 00:16:01,840 Speaker 1: he has had all sorts of consequences for his business. 301 00:16:01,840 --> 00:16:04,600 Speaker 1: He's no longer, for instance, allowed to be sold in Walmart. 302 00:16:05,000 --> 00:16:09,000 Speaker 1: And they support this show because they support the free 303 00:16:09,000 --> 00:16:12,200 Speaker 1: discussion of ideas, and they're right now having a flash 304 00:16:12,200 --> 00:16:15,320 Speaker 1: cell on my Pillow prices as low as nineteen dollars 305 00:16:15,320 --> 00:16:17,800 Speaker 1: and eighty eight cents. You can use our names as 306 00:16:17,840 --> 00:16:21,120 Speaker 1: the promo code. Clay and Buck pillows won't go flat. 307 00:16:21,160 --> 00:16:24,600 Speaker 1: You can wash and dry them constantly. Most important, they're 308 00:16:24,640 --> 00:16:27,400 Speaker 1: made here in the good old USA. They also come 309 00:16:27,720 --> 00:16:30,680 Speaker 1: with a sixty day money back guarantee and you can 310 00:16:30,720 --> 00:16:33,720 Speaker 1: get hooked up big time at my pillow dot Com. 311 00:16:33,760 --> 00:16:36,320 Speaker 1: Just click on the radio listeners specials. Check out this 312 00:16:36,400 --> 00:16:38,920 Speaker 1: flash sell on the Pillows won't be here for long. 313 00:16:39,320 --> 00:16:41,520 Speaker 1: Remember to use the code Clay and Buck. You can 314 00:16:41,560 --> 00:16:45,360 Speaker 1: also call eight hundred seven nine two thirty two sixty nine. 315 00:16:45,440 --> 00:16:48,360 Speaker 1: That's my pillow dot Com. Use the code play in Buck, 316 00:16:50,240 --> 00:16:53,040 Speaker 1: Welcome back in Clay, Travis, Buck Sexton Show. Appreciate all 317 00:16:53,040 --> 00:16:56,560 Speaker 1: of you hanging out with us. Alex Berenson was phenomenal. 318 00:16:57,720 --> 00:17:01,280 Speaker 1: That conversation really in Tree would encourage you guys to 319 00:17:01,320 --> 00:17:02,920 Speaker 1: make sure if you're just getting your car right now 320 00:17:02,920 --> 00:17:05,399 Speaker 1: and you missed it, go make sure that you dive 321 00:17:05,560 --> 00:17:09,679 Speaker 1: into the podcast and you won't miss a moment there. 322 00:17:09,720 --> 00:17:14,480 Speaker 1: I believe we have a caller online. Four. Jeff is 323 00:17:14,520 --> 00:17:18,040 Speaker 1: on the interstate outside, he said, of Little Rock, Arkansas. 324 00:17:18,200 --> 00:17:23,520 Speaker 1: He is moving to the South from San Jose, California. Jeff, 325 00:17:23,560 --> 00:17:25,880 Speaker 1: explain how you made your decision and Jeff, we got 326 00:17:25,880 --> 00:17:29,760 Speaker 1: thirty seconds. Okay, play, I love the show. I love 327 00:17:29,760 --> 00:17:32,320 Speaker 1: you and Buck and you did. You did a live 328 00:17:32,400 --> 00:17:35,840 Speaker 1: broadcast from Oxford, Mississippi had a football game last year 329 00:17:35,840 --> 00:17:39,520 Speaker 1: and maybe November. Yeah, And I told my girlfriend that's 330 00:17:39,560 --> 00:17:44,000 Speaker 1: the place we're going. And I worked from a nationwide 331 00:17:44,000 --> 00:17:47,920 Speaker 1: food distributor and I relocated. All I got just going 332 00:17:48,040 --> 00:17:51,400 Speaker 1: Memphis Tennessee area is going to be Oxford in Tupelow. 333 00:17:51,960 --> 00:17:55,439 Speaker 1: And we're driving across country as we speak. So if 334 00:17:55,520 --> 00:17:58,520 Speaker 1: anybody's me, why did you move to Oxford, I say 335 00:17:58,560 --> 00:18:02,639 Speaker 1: because of Clay Travis Andre we go. Good choice. Mississippi's lovely, 336 00:18:02,760 --> 00:18:07,680 Speaker 1: changing lives class. Mississippi is beautiful. It's gonna be hot, though, 337 00:18:07,720 --> 00:18:09,440 Speaker 1: but once you get to the fall, you are gonna 338 00:18:09,520 --> 00:18:13,240 Speaker 1: love it, love it, love it. Changing people's footwear as well. 339 00:18:13,400 --> 00:18:16,680 Speaker 1: My friends Wolf and Shepherd. You gotta check them out. 340 00:18:16,720 --> 00:18:19,959 Speaker 1: Clay and I love Wolf and Shepherd. The most comfortable 341 00:18:20,160 --> 00:18:22,639 Speaker 1: dress shoe a guy can own because they're part sneaker. 342 00:18:22,680 --> 00:18:24,119 Speaker 1: You see. You wouldn't know it at first. You look 343 00:18:24,160 --> 00:18:25,720 Speaker 1: at them, you think, all that's a dress shoe. You 344 00:18:25,760 --> 00:18:29,200 Speaker 1: put them on. I've got three pairs, Clay's got the crossovers. 345 00:18:29,440 --> 00:18:32,000 Speaker 1: You wear them, you realize it feels as comfortable as 346 00:18:32,000 --> 00:18:34,880 Speaker 1: a sneaker, but it looks like a dress shoe. This 347 00:18:34,920 --> 00:18:37,639 Speaker 1: is what you should be wearing to the office or 348 00:18:37,680 --> 00:18:40,280 Speaker 1: just going out to dinner, or when you want to 349 00:18:40,280 --> 00:18:42,960 Speaker 1: look sharp. Wolf and Shepherd is your answer. You can 350 00:18:43,040 --> 00:18:46,919 Speaker 1: dress them up or just you know, casual, whatever you want. Slacks, jeans, 351 00:18:47,000 --> 00:18:49,960 Speaker 1: all go with your Wolf and Shepherd shoes. You gotta 352 00:18:50,040 --> 00:18:52,000 Speaker 1: check them out for yourself. This is what you'll be 353 00:18:52,000 --> 00:18:55,600 Speaker 1: wearing on your feet constantly. Make Wolf and Shepherd shoes 354 00:18:55,720 --> 00:18:59,120 Speaker 1: part of your routine. Join the pack at wolfin Shepherd 355 00:18:59,160 --> 00:19:02,720 Speaker 1: dot com. No promo code needed, Just visit Wolfinsphard dot 356 00:19:02,720 --> 00:19:08,240 Speaker 1: com spelled s h E p h r D. Welcome back, 357 00:19:08,240 --> 00:19:11,320 Speaker 1: Clay Travis end Buck Sexton Show. We got a lot 358 00:19:11,359 --> 00:19:13,320 Speaker 1: to still talk to you about, and that means we're 359 00:19:13,320 --> 00:19:16,680 Speaker 1: going to continue on this conversation obviously tomorrow, which means 360 00:19:16,680 --> 00:19:19,400 Speaker 1: if you miss any part of today the podcast. Best 361 00:19:19,440 --> 00:19:23,080 Speaker 1: place to go to Clay Travis and Buck Sexton Show podcast, 362 00:19:23,200 --> 00:19:27,520 Speaker 1: please subscribe and hour by hour we put it up there, 363 00:19:27,560 --> 00:19:29,679 Speaker 1: and we even have a best of that's a combination 364 00:19:29,800 --> 00:19:33,000 Speaker 1: of some of the most compelling segments, so depending on 365 00:19:33,040 --> 00:19:35,160 Speaker 1: your time, you can listen to all of it. Part 366 00:19:35,160 --> 00:19:37,520 Speaker 1: of it, you name it, but please do subscribe and 367 00:19:37,520 --> 00:19:40,280 Speaker 1: give us some five star ratings for the Apple podcast Store. 368 00:19:40,359 --> 00:19:42,640 Speaker 1: We haven't been asking for that for a while. Might 369 00:19:42,680 --> 00:19:48,560 Speaker 1: have to bring podcasts reviews are dub out of early 370 00:19:48,600 --> 00:19:50,800 Speaker 1: retirement here to tell us what's going on with our 371 00:19:50,800 --> 00:19:55,040 Speaker 1: podcast reviews. I think this story is fascinating, and Clay 372 00:19:55,080 --> 00:19:56,640 Speaker 1: and I've been talking about it a little bit. It's 373 00:19:56,640 --> 00:20:01,320 Speaker 1: starting to percolate around more in the concern vative media ecosystem. 374 00:20:01,960 --> 00:20:06,680 Speaker 1: The Netherlands. Holland is in the midst of a showdown 375 00:20:07,440 --> 00:20:10,919 Speaker 1: between those who produce the food that the people of 376 00:20:10,960 --> 00:20:14,640 Speaker 1: the Netherlands and actually all over the world eat the Netherlands. 377 00:20:14,640 --> 00:20:17,840 Speaker 1: This was stunning. I almost this is one of those 378 00:20:18,480 --> 00:20:22,520 Speaker 1: stats that I read and I think that can't be true. 379 00:20:22,800 --> 00:20:27,359 Speaker 1: The Netherlands apparently one of the biggest agricultural exporters in 380 00:20:27,400 --> 00:20:29,200 Speaker 1: the world. I was not aware of that. You think 381 00:20:29,240 --> 00:20:32,840 Speaker 1: such a small country, how could they Apparently they are 382 00:20:32,920 --> 00:20:36,560 Speaker 1: a major food exporter and this is all over the 383 00:20:36,560 --> 00:20:38,800 Speaker 1: play and that's a stat that was stunning to me. 384 00:20:39,560 --> 00:20:42,159 Speaker 1: Here's what's going on, and it's been happening now for 385 00:20:42,240 --> 00:20:46,280 Speaker 1: over a week. The Dutch government, so right, there's Holland, 386 00:20:46,320 --> 00:20:49,000 Speaker 1: the Netherlands, the Dutch, right, we gotta keep it all 387 00:20:49,000 --> 00:20:52,639 Speaker 1: in the I'm trying to avoid doing a Swedish chef impression. 388 00:20:52,720 --> 00:20:56,880 Speaker 1: That's a different country. It's different. I know, the Dutch 389 00:20:56,920 --> 00:21:00,480 Speaker 1: are not the Swedes. So that the Netherlands right now 390 00:21:00,600 --> 00:21:04,320 Speaker 1: is in this showdown between the government that decided that 391 00:21:04,359 --> 00:21:08,760 Speaker 1: they would essentially shut down a lot of farmers just 392 00:21:08,800 --> 00:21:12,200 Speaker 1: say sorry, you're done because they have set under some 393 00:21:12,359 --> 00:21:18,680 Speaker 1: EU emission standards for I believe it's nitrogen oxide and 394 00:21:19,320 --> 00:21:23,399 Speaker 1: another basically the pollutants that come they call them pollutants, 395 00:21:23,400 --> 00:21:29,080 Speaker 1: but the byproduct gases that come from farming. Now, farming 396 00:21:29,160 --> 00:21:32,480 Speaker 1: is pretty important because you know, food, which we all 397 00:21:32,560 --> 00:21:37,200 Speaker 1: like and need. So what's going on is the Dutch 398 00:21:37,240 --> 00:21:41,120 Speaker 1: government has just said to the farmers in the Netherlands Clay, 399 00:21:41,160 --> 00:21:44,760 Speaker 1: They've said, you have to hit these emission standards by 400 00:21:44,840 --> 00:21:47,679 Speaker 1: twenty thirty. We're gonna be in this totally new place 401 00:21:48,040 --> 00:21:50,720 Speaker 1: because the EU has set these standards and we're going 402 00:21:50,800 --> 00:21:52,920 Speaker 1: to meet them. And for a lot of you, it's 403 00:21:52,920 --> 00:21:56,240 Speaker 1: going to mean your farming business changes radically. For a 404 00:21:56,280 --> 00:21:57,760 Speaker 1: lot of you, it's going to mean your farmer is 405 00:21:57,760 --> 00:22:01,240 Speaker 1: actually going to be shut down. There are there's even 406 00:22:01,280 --> 00:22:06,720 Speaker 1: talk of some appropriation of some of this land that 407 00:22:06,760 --> 00:22:09,000 Speaker 1: may be happening from the government. May just be start 408 00:22:09,040 --> 00:22:11,800 Speaker 1: taking people's land if they don't adhere to this. So 409 00:22:11,840 --> 00:22:15,080 Speaker 1: there have been tractor protests very similar to the trucker 410 00:22:15,160 --> 00:22:17,720 Speaker 1: protests we've seen and we saw in Canada over the 411 00:22:17,800 --> 00:22:21,639 Speaker 1: vaccine mandate. They shut down with tractors on the highways 412 00:22:22,400 --> 00:22:27,440 Speaker 1: the border between the Netherlands and Germany. And there's been 413 00:22:27,480 --> 00:22:30,960 Speaker 1: some gunfire. Police have shot at some of these protesters already. 414 00:22:31,640 --> 00:22:35,920 Speaker 1: And this is really concerning folks, because this is ultimately 415 00:22:35,960 --> 00:22:41,199 Speaker 1: about climate change CO two emissions, other emissions that go 416 00:22:41,280 --> 00:22:46,040 Speaker 1: into the environment. This is environmentalist tyranny through the lens 417 00:22:46,080 --> 00:22:49,600 Speaker 1: of the bureaucracy of the EU. And we're coming at 418 00:22:49,640 --> 00:22:52,159 Speaker 1: a time when we're told everyone's been pointing the settle 419 00:22:52,160 --> 00:22:54,840 Speaker 1: over the media. Bugs are good. You should learn to 420 00:22:54,880 --> 00:22:59,920 Speaker 1: eat bugs because meat is too carbon intensive, and here 421 00:23:00,200 --> 00:23:04,959 Speaker 1: we have agriculture being too intensive when it comes to 422 00:23:05,480 --> 00:23:10,360 Speaker 1: the nitrogen oxide production. This is madness. I mean, this 423 00:23:10,440 --> 00:23:13,800 Speaker 1: is crazy town stuff being pushed by bureaucrats and they 424 00:23:13,840 --> 00:23:18,800 Speaker 1: want to do it here too. It's significant also because 425 00:23:19,240 --> 00:23:21,359 Speaker 1: we're already starting to see buck. I don't know if 426 00:23:21,359 --> 00:23:24,240 Speaker 1: you've been paying attention to some of these stories internationally 427 00:23:24,840 --> 00:23:28,960 Speaker 1: of food riots that are starting to occur as global 428 00:23:29,040 --> 00:23:32,959 Speaker 1: food shortages are becoming more paramount. Now. We're fortunate so 429 00:23:32,960 --> 00:23:36,880 Speaker 1: far in the United States where most of our shortages 430 00:23:37,040 --> 00:23:41,040 Speaker 1: in products, notwithstanding baby formula, which has been an unmitigated 431 00:23:41,119 --> 00:23:44,680 Speaker 1: disaster for the Biden administration, but a lot of our products, 432 00:23:44,800 --> 00:23:47,480 Speaker 1: if you want to go buy a particular product, there 433 00:23:47,680 --> 00:23:51,600 Speaker 1: is another product that's similar that you could make a 434 00:23:51,720 --> 00:23:55,880 Speaker 1: choice on instead. Much of the developing world doesn't have 435 00:23:55,960 --> 00:23:58,800 Speaker 1: that luxury. And so I talked about it a little 436 00:23:58,800 --> 00:24:00,240 Speaker 1: bit earlier in this show, and I think I'm mentioned 437 00:24:00,280 --> 00:24:05,000 Speaker 1: it yesterday too. This is also a triumph of the 438 00:24:05,080 --> 00:24:09,040 Speaker 1: Green New Deal. Climate change is going to destroy the 439 00:24:09,080 --> 00:24:12,600 Speaker 1: world people, much like what is happening in the United States. 440 00:24:12,600 --> 00:24:16,520 Speaker 1: And let me connect these two. Over the weekend, on Friday, 441 00:24:16,640 --> 00:24:21,040 Speaker 1: headed into a holiday weekend, the Biden administration effectively announced 442 00:24:21,040 --> 00:24:24,760 Speaker 1: that they were not going to allow substantial amounts of 443 00:24:24,760 --> 00:24:30,679 Speaker 1: offshore drilling to increase, so our overall production of oil 444 00:24:30,760 --> 00:24:36,160 Speaker 1: and gas is being voluntarily curtailed in an effort to 445 00:24:36,200 --> 00:24:40,160 Speaker 1: try to decrease our carbon footprint. Now the great fallacy here, 446 00:24:40,440 --> 00:24:42,480 Speaker 1: and this is where media that was really doing its 447 00:24:42,560 --> 00:24:46,280 Speaker 1: job would say, well, wait a minute, you're also simultaneously 448 00:24:46,359 --> 00:24:49,480 Speaker 1: Joe Biden going to travel to Saudi Arabia and on 449 00:24:49,640 --> 00:24:53,440 Speaker 1: Ben Didnee requests the Saudis to produce more oil so 450 00:24:53,520 --> 00:24:55,440 Speaker 1: that we can help to make up for the shortage 451 00:24:55,440 --> 00:24:58,719 Speaker 1: that exists right now because of the Russia boycott in 452 00:24:58,760 --> 00:25:01,199 Speaker 1: the wake of the Ukrainian ba But most in the 453 00:25:01,240 --> 00:25:06,360 Speaker 1: media aren't pointing that out because they implicitly agree with 454 00:25:06,440 --> 00:25:09,240 Speaker 1: many of the climate change aspects that are being embraced 455 00:25:09,240 --> 00:25:12,919 Speaker 1: by the Democrats. But it leads to a total y 456 00:25:13,080 --> 00:25:18,080 Speaker 1: in policy, which is producing oil and gas here is 457 00:25:18,240 --> 00:25:22,800 Speaker 1: not making it safer for the globe to ask more 458 00:25:22,840 --> 00:25:26,240 Speaker 1: oil and gas to be produced elsewhere. It just allows 459 00:25:26,320 --> 00:25:30,360 Speaker 1: Democrats to tell their idiot base, oh, we're reducing our 460 00:25:30,440 --> 00:25:34,280 Speaker 1: carbon footprint here, and instead of making billions of dollars 461 00:25:34,320 --> 00:25:38,879 Speaker 1: on oil and gas, we are pushing that billions of 462 00:25:38,880 --> 00:25:42,480 Speaker 1: dollars to these petro dictatorship states and buck this is 463 00:25:42,520 --> 00:25:44,719 Speaker 1: what's going on. It feels like in Europe as well, 464 00:25:45,040 --> 00:25:48,960 Speaker 1: where there is a design policy in place to destroy 465 00:25:49,119 --> 00:25:54,320 Speaker 1: people's ability to make a living producing goods based on 466 00:25:54,400 --> 00:25:58,240 Speaker 1: what their carbon footprint is, even if that has a 467 00:25:58,400 --> 00:26:02,480 Speaker 1: much longer deletarious effect and larger deletarious effect on the 468 00:26:02,560 --> 00:26:05,159 Speaker 1: larger world. And that's what's going on right now. And 469 00:26:05,200 --> 00:26:08,160 Speaker 1: I think they're connected and we need to have intelligent 470 00:26:08,200 --> 00:26:10,959 Speaker 1: people push back against this. But when you when you 471 00:26:11,040 --> 00:26:16,560 Speaker 1: see the collision here between I mean you're seeing this 472 00:26:16,600 --> 00:26:18,679 Speaker 1: over and over again. You bring up the energy industry. 473 00:26:19,160 --> 00:26:23,040 Speaker 1: Without the without oil and natural gas, our way of 474 00:26:23,080 --> 00:26:27,040 Speaker 1: life not only comes to a halt, but we crash 475 00:26:27,080 --> 00:26:29,760 Speaker 1: and burn. I mean, you have people, you would have 476 00:26:30,320 --> 00:26:34,320 Speaker 1: mass starvation, You would have widespread civil disorder from all 477 00:26:34,359 --> 00:26:38,240 Speaker 1: the deprivation that would occur. I mean, you would see 478 00:26:38,240 --> 00:26:41,159 Speaker 1: it's zombie apocalypse stuff. Now. I know they're not saying, oh, 479 00:26:41,160 --> 00:26:43,639 Speaker 1: we're going to turn all this stuff off tomorrow, okay, 480 00:26:43,680 --> 00:26:46,520 Speaker 1: but they keep pushing us and pushing us beyond where 481 00:26:46,520 --> 00:26:50,080 Speaker 1: the technology is and based on something that I don't 482 00:26:50,080 --> 00:26:52,080 Speaker 1: even think is a problem. Right that that's it would 483 00:26:52,080 --> 00:26:54,320 Speaker 1: be one thing if I would say I don't believe 484 00:26:54,400 --> 00:26:57,919 Speaker 1: that have zero concern about climate destroying our lives, not 485 00:26:57,960 --> 00:27:00,800 Speaker 1: one moment zero, you know, And I like to think 486 00:27:00,840 --> 00:27:03,520 Speaker 1: that I care about humanity too, you know, and I 487 00:27:03,560 --> 00:27:05,120 Speaker 1: know the Libs walk around and I want to say 488 00:27:05,160 --> 00:27:08,240 Speaker 1: that the future generations. I don't know, Democrats not really 489 00:27:08,240 --> 00:27:10,080 Speaker 1: big on future generations when you look at a lot 490 00:27:10,080 --> 00:27:13,960 Speaker 1: of other things. But here we are now looking at 491 00:27:14,000 --> 00:27:16,720 Speaker 1: a showdown, and yeah, it turned I've keep googles. I'm like, 492 00:27:16,880 --> 00:27:21,520 Speaker 1: is this really possible? There's ninety billion dollars that can't 493 00:27:21,640 --> 00:27:24,000 Speaker 1: I look at these numbers and I think that can't 494 00:27:24,000 --> 00:27:28,119 Speaker 1: be right. But enormous. Yeah, eighty two billion, eighty two 495 00:27:28,160 --> 00:27:31,280 Speaker 1: billion euro of agricultural exports from the Netherlands. So this 496 00:27:31,320 --> 00:27:35,040 Speaker 1: place has become an agricultural powerhouse on a global scale, 497 00:27:35,040 --> 00:27:38,560 Speaker 1: which no idea was not aware of. Really interesting, and 498 00:27:39,200 --> 00:27:41,040 Speaker 1: I mean you look at you compare it to Germany 499 00:27:41,520 --> 00:27:45,919 Speaker 1: twenty billion, Okay, United Kingdom eight billion, Italy three billion. 500 00:27:45,920 --> 00:27:47,440 Speaker 1: I mean, I think Italy, aren't they making all kinds 501 00:27:47,440 --> 00:27:49,040 Speaker 1: of great stuff They're sending the rest of the world. 502 00:27:49,040 --> 00:27:51,520 Speaker 1: Where do I get my pursudo from? Right? Turns out 503 00:27:51,640 --> 00:27:55,080 Speaker 1: the Netherlands and they're bureaucrats are coming in and they're 504 00:27:55,080 --> 00:28:00,320 Speaker 1: telling people, because of this imaginary destruction of the planet 505 00:28:00,400 --> 00:28:04,239 Speaker 1: that we're worried about, you no longer can continue to 506 00:28:04,400 --> 00:28:07,280 Speaker 1: provide food for people. You can't make a living. That's 507 00:28:07,320 --> 00:28:09,679 Speaker 1: what's going on. You're you're, you're, you're done. You're just 508 00:28:09,880 --> 00:28:14,000 Speaker 1: the same mentality as you know, Hillary Clinton saying that 509 00:28:14,040 --> 00:28:16,239 Speaker 1: we need the oil. You know, the coal companies need 510 00:28:16,280 --> 00:28:18,119 Speaker 1: to go bet or you know, the coal miners need 511 00:28:18,160 --> 00:28:20,159 Speaker 1: to find new jobs, learned to code. Right, there's the 512 00:28:20,200 --> 00:28:22,720 Speaker 1: same attitude from these people. And when it comes to 513 00:28:22,760 --> 00:28:25,800 Speaker 1: your food though, you know, every single one of us 514 00:28:25,840 --> 00:28:27,960 Speaker 1: who goes to bed at night with a reasonably full belly, 515 00:28:27,960 --> 00:28:30,840 Speaker 1: in my case a little too full sometimes. Unfortunately, we 516 00:28:30,920 --> 00:28:34,080 Speaker 1: owe a debt of gratitude to the farmers. We've talked 517 00:28:34,080 --> 00:28:36,400 Speaker 1: about on this show. We learned over COVID. We owe 518 00:28:36,400 --> 00:28:38,920 Speaker 1: a debt of gratitude to the truckers, to the people 519 00:28:38,920 --> 00:28:41,920 Speaker 1: that actually bring the goods and bring the food. And 520 00:28:42,000 --> 00:28:45,600 Speaker 1: you have these managerial elites with their you know, their 521 00:28:45,720 --> 00:28:50,040 Speaker 1: soft little hands and their soft little brains who are saying, yeah, whatever, 522 00:28:50,440 --> 00:28:52,360 Speaker 1: just you know, we're gonna shut down the farmers. Eat 523 00:28:52,400 --> 00:28:56,280 Speaker 1: some bugs. This is really happening in places while they're 524 00:28:56,280 --> 00:28:59,080 Speaker 1: all flying around on their project jets. Of course, yeah, 525 00:28:59,120 --> 00:29:02,600 Speaker 1: I mean it larger of a carbon footprint than any 526 00:29:02,840 --> 00:29:10,160 Speaker 1: of these farming devices. And look, it feels intentional now, 527 00:29:11,240 --> 00:29:16,360 Speaker 1: it feels like an intentional policy shift that is going 528 00:29:16,520 --> 00:29:18,920 Speaker 1: on around the world. And there are a lot of 529 00:29:18,960 --> 00:29:21,600 Speaker 1: countries that just don't care. Is China sitting around worried 530 00:29:21,600 --> 00:29:23,760 Speaker 1: about the Green New Deal? Buck? Do they have some 531 00:29:23,920 --> 00:29:26,240 Speaker 1: massive They're building a new coal power plan every week? 532 00:29:26,280 --> 00:29:28,120 Speaker 1: And we're gonna talk about China, by the way, and 533 00:29:28,160 --> 00:29:32,280 Speaker 1: how America, the intelligence community and the military waking up 534 00:29:32,280 --> 00:29:34,320 Speaker 1: to we got a big problem with China, folks, a 535 00:29:34,360 --> 00:29:36,640 Speaker 1: big problem. We're probably talking about that tomorrow because you 536 00:29:36,720 --> 00:29:38,840 Speaker 1: and I were talking about it off air as we've 537 00:29:38,840 --> 00:29:42,320 Speaker 1: had a meeting between m I five, the top British 538 00:29:42,320 --> 00:29:46,120 Speaker 1: sort of intelligence agency, and our FBI. They had a 539 00:29:46,200 --> 00:29:49,400 Speaker 1: joint release talking about what's going on in China right now. 540 00:29:49,800 --> 00:29:54,800 Speaker 1: But had you heard anything about this Dutch farmer rebellion? 541 00:29:55,480 --> 00:29:59,960 Speaker 1: Is it being covered anywhere in the United States? Very minimum, 542 00:30:00,400 --> 00:30:03,520 Speaker 1: very minimally. And this is and there's video that's it's 543 00:30:03,560 --> 00:30:06,440 Speaker 1: only on social media. This is making the rounds Dutch 544 00:30:06,440 --> 00:30:09,720 Speaker 1: farmers and tractors. They've they've opened fire on them. Cops 545 00:30:09,720 --> 00:30:12,040 Speaker 1: have actually started shooting at that, which is if you 546 00:30:12,200 --> 00:30:15,920 Speaker 1: had to say, which is other than you know, Switzerland, 547 00:30:15,920 --> 00:30:19,280 Speaker 1: which obviously doesn't really ever take a side on anything. 548 00:30:19,560 --> 00:30:22,280 Speaker 1: If you had to pitch a European country where you 549 00:30:22,280 --> 00:30:26,200 Speaker 1: would least expect for forces to open up fire on citizens, 550 00:30:26,920 --> 00:30:29,040 Speaker 1: the Dutch would be pretty high up on that list, 551 00:30:29,080 --> 00:30:31,040 Speaker 1: I would think, Yeah. And just just one more thing 552 00:30:31,200 --> 00:30:34,320 Speaker 1: is we see with COVID that a lot of these 553 00:30:34,360 --> 00:30:39,719 Speaker 1: people who take these very virtue signaling oh, you know, 554 00:30:39,800 --> 00:30:43,720 Speaker 1: we are one world global government perspectives on things, and 555 00:30:44,000 --> 00:30:46,080 Speaker 1: they're always, oh, you know, we don't want police to 556 00:30:46,120 --> 00:30:48,680 Speaker 1: be too violent with criminals. And they take all these attitudes. 557 00:30:49,160 --> 00:30:52,400 Speaker 1: When it comes to setting the climate change police on 558 00:30:52,440 --> 00:30:54,880 Speaker 1: you or the COVID police on you, they will send 559 00:30:55,280 --> 00:30:58,080 Speaker 1: men with guns and batons into your church to blood 560 00:30:58,200 --> 00:31:01,200 Speaker 1: more pastor so that you can't breathe in their direction. 561 00:31:01,520 --> 00:31:04,400 Speaker 1: These libs love to use the force of the state 562 00:31:04,640 --> 00:31:08,600 Speaker 1: when it suits their crazy ideological purposes in the Netherlands 563 00:31:08,600 --> 00:31:11,680 Speaker 1: and here at home in America. So that's what's going on. 564 00:31:12,280 --> 00:31:13,680 Speaker 1: I want to take a moment to talk about one 565 00:31:13,680 --> 00:31:15,800 Speaker 1: of our listeners in Ohio, Robin. She's got one of 566 00:31:15,800 --> 00:31:18,600 Speaker 1: the toughest jobs there is at a correctional facility that's 567 00:31:18,600 --> 00:31:20,840 Speaker 1: a nice way of saying in prison Right. Two years ago, 568 00:31:20,920 --> 00:31:24,479 Speaker 1: Robin badly broke her wrist. After surgery, Robin used both 569 00:31:24,520 --> 00:31:28,240 Speaker 1: prescribed medicine and relief Factor. Instead of the expected seven 570 00:31:28,280 --> 00:31:30,280 Speaker 1: months for recovery, Robin was able to get back to 571 00:31:30,320 --> 00:31:32,880 Speaker 1: work in four and a half months, and she says 572 00:31:32,920 --> 00:31:35,640 Speaker 1: she owes a lot of that to relief Factor. Throughout 573 00:31:35,680 --> 00:31:37,840 Speaker 1: her recovery, she experienced a lot of pain and swelling. 574 00:31:38,000 --> 00:31:41,080 Speaker 1: Her occupational therapist even scolded her for pushing too hard, 575 00:31:41,360 --> 00:31:44,160 Speaker 1: but thanks to relief Factor, Robin was able to manage 576 00:31:44,160 --> 00:31:47,240 Speaker 1: her pain in a safe and natural way. 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Go to 584 00:32:06,400 --> 00:32:09,280 Speaker 1: relief Factor dot com or call eight hundred four Relief 585 00:32:09,600 --> 00:32:12,920 Speaker 1: order the nineteen ninety five three week quickstart developed for you. 586 00:32:13,360 --> 00:32:15,600 Speaker 1: The way to do that again is relief Factor dot 587 00:32:15,600 --> 00:32:18,760 Speaker 1: com or call eight hundred the number four relief Move more, 588 00:32:18,880 --> 00:32:22,120 Speaker 1: live more, and just enjoy your life more with Relief Factor. 589 00:32:23,840 --> 00:32:26,600 Speaker 1: Welcome back to Ed Klay, Travis Buck Sexton Show. Appreciate 590 00:32:26,680 --> 00:32:28,920 Speaker 1: all of you hanging out with us. Would encourage you 591 00:32:29,360 --> 00:32:31,880 Speaker 1: to go subscribe to the podcast. Make sure you're not 592 00:32:31,960 --> 00:32:36,880 Speaker 1: going to miss a minute, especially that Alex Barrenson conversation Buck, 593 00:32:36,920 --> 00:32:40,120 Speaker 1: which we really didn't follow up to a large extent with. 594 00:32:40,320 --> 00:32:42,440 Speaker 1: But people say, Okay, I don't know who that guy is, 595 00:32:42,520 --> 00:32:44,920 Speaker 1: why should I care? Here's the bullet point on why 596 00:32:45,000 --> 00:32:47,960 Speaker 1: you should care. The headline, This is the first guy, 597 00:32:48,000 --> 00:32:51,600 Speaker 1: to my knowledge, Buck, who has ever sued Twitter for 598 00:32:51,880 --> 00:32:57,680 Speaker 1: being banned and been allowed to return basically one. So 599 00:32:58,000 --> 00:33:01,200 Speaker 1: every situation on a suspension is friend. And he even mentioned, hey, 600 00:33:01,240 --> 00:33:04,360 Speaker 1: you know, if you're advocating for the assassination of a 601 00:33:04,840 --> 00:33:07,560 Speaker 1: government official, hey, that's probably something that they don't have 602 00:33:07,560 --> 00:33:12,680 Speaker 1: an obligation to share. But in terms of COVID policy, 603 00:33:13,120 --> 00:33:15,920 Speaker 1: in terms of contentious issues that are out there in 604 00:33:15,960 --> 00:33:19,960 Speaker 1: our marketplace of ideas, Alex Berenson just beat Twitter and 605 00:33:20,080 --> 00:33:23,680 Speaker 1: prove that they aren't the final arbiter of being able 606 00:33:23,720 --> 00:33:27,400 Speaker 1: to apply policies to ban people for life. Well, I'm 607 00:33:27,440 --> 00:33:31,440 Speaker 1: also happy just because now in that Twitter ecosystem where 608 00:33:31,480 --> 00:33:34,840 Speaker 1: so many particularly so many lib journals get all of 609 00:33:34,880 --> 00:33:38,520 Speaker 1: their COVID information, Barrenson is going to be dropping the 610 00:33:38,680 --> 00:33:43,080 Speaker 1: stink bombs of data that make everyone on the left 611 00:33:43,160 --> 00:33:46,240 Speaker 1: so upset. They're like, oh my gosh, you know, I mean, 612 00:33:46,520 --> 00:33:49,240 Speaker 1: it's amazing how people have just stopped talking about how 613 00:33:49,320 --> 00:33:51,840 Speaker 1: good were those how good were those vaccines? Things like that, 614 00:33:52,320 --> 00:33:55,320 Speaker 1: And I think it is so important going into this election. 615 00:33:55,720 --> 00:34:00,280 Speaker 1: The Democrats want everyone to forget that. Biden a year 616 00:34:00,320 --> 00:34:02,920 Speaker 1: ago almost of the month I mean I said was 617 00:34:02,920 --> 00:34:06,320 Speaker 1: maybe August or September a year ago, was saying it's 618 00:34:06,320 --> 00:34:08,200 Speaker 1: a pandemic of the vaccine in andet. If you won't 619 00:34:08,200 --> 00:34:10,759 Speaker 1: get the shot, you're a bad person who was going 620 00:34:10,800 --> 00:34:13,160 Speaker 1: to kill people by breathing on them. That the Winter 621 00:34:13,280 --> 00:34:16,759 Speaker 1: of Death was the Yeah, the Winter of Death is here. 622 00:34:17,560 --> 00:34:22,319 Speaker 1: Elon Musk tweeted to Alex Barrenson earlier today. Can you 623 00:34:22,400 --> 00:34:25,440 Speaker 1: say more about the quote pressures the government may have 624 00:34:25,600 --> 00:34:29,520 Speaker 1: placed on Twitter? Elon Musk obviously in the process, at 625 00:34:29,560 --> 00:34:34,640 Speaker 1: least in theory of potentially coming back and buying Twitter, 626 00:34:34,920 --> 00:34:38,640 Speaker 1: and Alex Barrenson, after being suspended for nearly a year, 627 00:34:39,160 --> 00:34:42,239 Speaker 1: came back guns blazing and said this was his first 628 00:34:42,280 --> 00:34:47,120 Speaker 1: tweet back. It doesn't stop infection or transmission. Don't think 629 00:34:47,200 --> 00:34:50,440 Speaker 1: of it as a vaccine. Think of it at best 630 00:34:50,480 --> 00:34:53,880 Speaker 1: as a therapeutic with a limited window of efficacy and 631 00:34:54,080 --> 00:34:58,560 Speaker 1: terrible side effect profile that must be dosed in advance 632 00:34:58,680 --> 00:35:02,719 Speaker 1: of illness, and we want to mandate it in sanity. 633 00:35:03,080 --> 00:35:06,560 Speaker 1: So he's not tiptoeing back into the Twitter sphere as 634 00:35:06,560 --> 00:35:10,279 Speaker 1: it pertains to the debate surrounding COVID shots. He's cannonballing 635 00:35:10,320 --> 00:35:13,239 Speaker 1: into the pool and he's right on everything. What do 636 00:35:13,280 --> 00:35:16,720 Speaker 1: we know, what's the latest on Elon's purchase? Like, what 637 00:35:16,880 --> 00:35:20,440 Speaker 1: do we know where that stands right now? Because obviously 638 00:35:20,560 --> 00:35:23,440 Speaker 1: to those of us who work in the media, this 639 00:35:24,080 --> 00:35:26,279 Speaker 1: has a whole residence. For everyone else out there, think 640 00:35:26,280 --> 00:35:29,280 Speaker 1: of it like Twitter is like the Slack, the Slack 641 00:35:29,360 --> 00:35:32,720 Speaker 1: channel for journos. So it's almost like where everyone goes 642 00:35:32,760 --> 00:35:34,839 Speaker 1: to fight it out, get their idea, you know, get 643 00:35:34,880 --> 00:35:38,320 Speaker 1: their talking points, YadA YadA, YadA in the Democrat corporate media. 644 00:35:38,480 --> 00:35:41,040 Speaker 1: So the latest update that I have seen on Elon 645 00:35:41,560 --> 00:35:46,359 Speaker 1: is he requested effectively all of the data sets from 646 00:35:46,480 --> 00:35:51,160 Speaker 1: inside of Twitter on the accounts there. Twitter has argued 647 00:35:51,200 --> 00:35:54,239 Speaker 1: that only five percent of its accounts are bots, that 648 00:35:54,400 --> 00:35:59,400 Speaker 1: is spam, basically artificial accounts, and Elon Muskas said he 649 00:35:59,440 --> 00:36:03,120 Speaker 1: thinks it's more like twenty percent. So Twitter just shared 650 00:36:03,200 --> 00:36:07,040 Speaker 1: with him a voluminous amount of data, and my expectation 651 00:36:07,080 --> 00:36:11,280 Speaker 1: would be that all of his super technology data geek 652 00:36:11,320 --> 00:36:15,320 Speaker 1: nerds are analyzing all that data to see whether Twitter's 653 00:36:15,320 --> 00:36:19,120 Speaker 1: public pronouncements are reflected of what the actual numbers show. 654 00:36:19,800 --> 00:36:21,960 Speaker 1: I just hope that it goes through because that'll also 655 00:36:22,040 --> 00:36:25,120 Speaker 1: put pressure on the other social platforms to be less 656 00:36:25,160 --> 00:36:28,320 Speaker 1: tyrannical libs. But we'll see, we'll see, and we'll continue 657 00:36:28,360 --> 00:36:30,080 Speaker 1: talk about this. By the way, tomorrow we've got the 658 00:36:30,160 --> 00:36:33,920 Speaker 1: governor of Oklahoma, Governor Stitt, joining the program for the 659 00:36:33,960 --> 00:36:36,680 Speaker 1: first time. Great guy. Looking forward to talk to him 660 00:36:36,680 --> 00:36:38,600 Speaker 1: about his state, another state that's making a lot of 661 00:36:38,640 --> 00:36:44,520 Speaker 1: smart decisions. And our friend Brian Dean Wright, my fellow 662 00:36:44,600 --> 00:36:48,279 Speaker 1: former CIA brother, he'll be joining. We'll be talking to him. 663 00:36:48,400 --> 00:36:50,880 Speaker 1: Should be a lot of fun. I'll be back in Nashville. 664 00:36:50,920 --> 00:36:54,200 Speaker 1: Ten phenomenal days in Florida, back home tomorrow. Can't wait