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 --> 00:00:08,119 Speaker 1: Sexton Show podcast. Welcome in Monday edition. Clay Travis buck 3 00:00:08,160 --> 00:00:10,560 Speaker 1: Sexton Show. Appreciate all of you hanging out with us 4 00:00:10,600 --> 00:00:14,720 Speaker 1: as we rolled closer and closer towards Christmas, and I 5 00:00:14,760 --> 00:00:18,880 Speaker 1: hope all of you are having a fantastic early Christmas season. 6 00:00:19,440 --> 00:00:21,360 Speaker 1: We want to talk right off the top here, We've 7 00:00:21,360 --> 00:00:24,800 Speaker 1: got a loaded show for you, the latest COVID insanity 8 00:00:24,840 --> 00:00:30,000 Speaker 1: from Jensaki and from Doctor Fauci, inflation and the impact 9 00:00:30,120 --> 00:00:33,240 Speaker 1: on Buildback Better? What does the Build Back Better bill 10 00:00:33,400 --> 00:00:37,920 Speaker 1: actually cost? JK Rowling did you see this? Harry Potter 11 00:00:38,000 --> 00:00:42,800 Speaker 1: creator herself is in a feud over the transgender agenda 12 00:00:42,880 --> 00:00:47,000 Speaker 1: and how absurdly ridiculous it is. We're gonna talk with 13 00:00:47,080 --> 00:00:52,160 Speaker 1: denishd Suza potentially others, all of that headed your direction. 14 00:00:52,360 --> 00:00:55,600 Speaker 1: But right off the top here a lot of discussion 15 00:00:56,280 --> 00:01:00,640 Speaker 1: about the tornadoes that swept through the mid South Illinois 16 00:01:01,400 --> 00:01:05,840 Speaker 1: late Friday night early Saturday morning across much of the country. 17 00:01:05,959 --> 00:01:11,360 Speaker 1: Kentucky bearing the brunt of that tornado onslaught and for 18 00:01:11,520 --> 00:01:13,559 Speaker 1: many of you out there, I know you have seen 19 00:01:13,640 --> 00:01:18,959 Speaker 1: the videos and seen the tragic results. Of that tornado 20 00:01:19,080 --> 00:01:25,360 Speaker 1: line that swept through the mid South Tennessee, Kentucky, Mississippi, Illinois, 21 00:01:25,440 --> 00:01:29,600 Speaker 1: a little bit all of that area, Alabama and beyond. 22 00:01:30,120 --> 00:01:34,360 Speaker 1: I was in the middle of that, Buck Friday night 23 00:01:34,400 --> 00:01:38,240 Speaker 1: in bed about three o'clock. The storms came through the 24 00:01:38,640 --> 00:01:44,680 Speaker 1: Nashville which had fairly significant damage as well, and the 25 00:01:44,720 --> 00:01:50,600 Speaker 1: whole house got woken up. Around two thirty or three am. Everybody, 26 00:01:50,640 --> 00:01:53,680 Speaker 1: the tornado sirens are going off. Everybody gets out of bed, 27 00:01:53,840 --> 00:01:57,880 Speaker 1: put on the television. See where exactly the tornado warnings are. 28 00:01:58,240 --> 00:02:00,240 Speaker 1: I know a lot of you in our listening area 29 00:02:00,360 --> 00:02:03,680 Speaker 1: may have ended up in your storm shelter of some 30 00:02:03,760 --> 00:02:07,600 Speaker 1: form or fashion. Get the kids. Sometimes if the threats near, 31 00:02:07,720 --> 00:02:11,040 Speaker 1: you put the pillows in the beds, inside of a pantry, 32 00:02:11,040 --> 00:02:14,400 Speaker 1: closet or wherever, bathroom, wherever you may have been inside 33 00:02:14,440 --> 00:02:18,720 Speaker 1: the interior of your home. And it's particularly always, it 34 00:02:18,760 --> 00:02:20,960 Speaker 1: feels like it's a high rate of the time. Buck, 35 00:02:21,320 --> 00:02:24,720 Speaker 1: when you live in a tornado area, that tornado threats 36 00:02:24,760 --> 00:02:26,639 Speaker 1: come through in the middle of the night, which makes 37 00:02:26,639 --> 00:02:29,519 Speaker 1: it a little bit scarier because you really can't see 38 00:02:29,680 --> 00:02:32,960 Speaker 1: what's going on around you. The lightning flashes are going off, 39 00:02:33,480 --> 00:02:37,120 Speaker 1: and certainly our prayers are with so many people in 40 00:02:37,160 --> 00:02:41,359 Speaker 1: our listening area who had significant consequences, whose family had 41 00:02:41,400 --> 00:02:45,480 Speaker 1: significant consequences, friends and family lost lives. There were a 42 00:02:45,480 --> 00:02:49,800 Speaker 1: lot of people inside of some of these Amazon factory warehouses. 43 00:02:49,800 --> 00:02:54,360 Speaker 1: It appears that we're working when the storms hit, and 44 00:02:54,840 --> 00:02:58,800 Speaker 1: so for anybody who lives in sort of the tornado universe, 45 00:02:58,880 --> 00:03:03,640 Speaker 1: the tornado Alley, Midwest, mid South, where tornadoes come through 46 00:03:03,680 --> 00:03:08,680 Speaker 1: on a somewhat regular basis, it is regularly chilling, terrifying. Now, 47 00:03:09,400 --> 00:03:13,000 Speaker 1: a positive buck is that the data reflects that despite 48 00:03:13,000 --> 00:03:17,760 Speaker 1: all the historyonics, thanks to our ability to forecast tornadoes 49 00:03:17,800 --> 00:03:21,600 Speaker 1: and severe weather conditions, the number of people dying from 50 00:03:21,639 --> 00:03:26,400 Speaker 1: severe weather is actually declining, typically over time, over the 51 00:03:26,480 --> 00:03:29,000 Speaker 1: last couple of decades, over the last fifty years or so. 52 00:03:29,080 --> 00:03:31,040 Speaker 1: You wouldn't know it by the way the media covers it. 53 00:03:31,840 --> 00:03:35,800 Speaker 1: They immediately jumped to there is a tragedy involving a 54 00:03:35,920 --> 00:03:40,880 Speaker 1: natural disaster climate change almost right away. I mean, here's 55 00:03:40,920 --> 00:03:44,440 Speaker 1: the FEMA director. Just understand, this is Biden's FEMA director. 56 00:03:44,520 --> 00:03:46,440 Speaker 1: So you don't get this job. I mean, you don't 57 00:03:46,440 --> 00:03:49,360 Speaker 1: get any job in the federal government really, unless you're 58 00:03:50,360 --> 00:03:53,680 Speaker 1: always spouting the line about climate change. Here she is, 59 00:03:54,880 --> 00:03:57,240 Speaker 1: this is going to be our new normal, and the 60 00:03:57,280 --> 00:04:00,160 Speaker 1: effects that we're seeing from climate change are the crisis 61 00:04:00,160 --> 00:04:02,840 Speaker 1: of our generation. We're taking a lot of efforts at 62 00:04:02,880 --> 00:04:06,040 Speaker 1: FEMA to work with communities to help reduce the impacts 63 00:04:06,240 --> 00:04:08,960 Speaker 1: that we're seeing from these severe weather events and help 64 00:04:09,000 --> 00:04:14,280 Speaker 1: to develop systemwide projects that can help protect communities. Okay, 65 00:04:14,360 --> 00:04:17,159 Speaker 1: now let's just start with this is going to be 66 00:04:17,279 --> 00:04:21,240 Speaker 1: the new normal. No, that's not true. This is an 67 00:04:21,279 --> 00:04:24,960 Speaker 1: aberrant event. Based on all the data, you can see 68 00:04:25,000 --> 00:04:29,800 Speaker 1: this was a particularly bad series of tornadoes, right, But 69 00:04:29,880 --> 00:04:32,760 Speaker 1: in terms of tornadoes overall and tornado season, you can 70 00:04:32,760 --> 00:04:35,400 Speaker 1: have data back the nineteen fifty It exists. You can 71 00:04:35,400 --> 00:04:38,960 Speaker 1: see it's pretty consistent. Sometimes you get a really bad one, 72 00:04:39,040 --> 00:04:40,920 Speaker 1: or you get a few really bad ones, but overall 73 00:04:41,360 --> 00:04:46,000 Speaker 1: you have a roughly similar number and of roughly similar severity. 74 00:04:46,360 --> 00:04:48,680 Speaker 1: There is no trend when they're talking this. Remember when 75 00:04:48,680 --> 00:04:50,800 Speaker 1: they were talking about hurricanes and climate change, you know, 76 00:04:50,839 --> 00:04:54,280 Speaker 1: after Katrina, it was oh my gosh, oh okay, Well 77 00:04:54,320 --> 00:04:57,320 Speaker 1: when then they actually looked at the reality of whether 78 00:04:57,360 --> 00:05:00,960 Speaker 1: this was making hurricanes more frequent, you know, they'd say 79 00:05:00,960 --> 00:05:03,839 Speaker 1: things play too like the colds are colder, the wets 80 00:05:03,839 --> 00:05:06,000 Speaker 1: are wetter, the hots are hotter. I mean they'll say 81 00:05:06,040 --> 00:05:09,120 Speaker 1: this out loud, like that's not completely absurd. How do 82 00:05:09,120 --> 00:05:10,960 Speaker 1: you even measure that? What are they even talking about? 83 00:05:11,440 --> 00:05:14,720 Speaker 1: But it's an opportunity to control people and to assert 84 00:05:14,800 --> 00:05:19,320 Speaker 1: more of the federal government's spending and power over your 85 00:05:19,400 --> 00:05:22,359 Speaker 1: life to combat this the same way that you know, 86 00:05:22,360 --> 00:05:25,080 Speaker 1: it's the same mentality with having kids sit outside to 87 00:05:25,200 --> 00:05:27,960 Speaker 1: combat COVID. Right, it's not going to do anything, but 88 00:05:28,040 --> 00:05:30,040 Speaker 1: they're they're making you do it so it makes them 89 00:05:30,080 --> 00:05:32,240 Speaker 1: feel better. I mean even Biden got in on this 90 00:05:32,320 --> 00:05:37,560 Speaker 1: right away. Yeah, Look, it is super political. This is 91 00:05:37,600 --> 00:05:41,440 Speaker 1: my biggest issue, I would say with the Internet in general. 92 00:05:42,160 --> 00:05:46,760 Speaker 1: Something happens, and the biggest legacy of the Internet so 93 00:05:46,839 --> 00:05:51,520 Speaker 1: far seems to be there's a massive rush to figure 94 00:05:51,560 --> 00:05:54,800 Speaker 1: out the blame. Something happens, it can be an a 95 00:05:54,880 --> 00:06:00,520 Speaker 1: barrant unusual aberration of an event, and immedia it has 96 00:06:00,600 --> 00:06:05,239 Speaker 1: to be calculated and analyzed and someone is to blame. 97 00:06:05,320 --> 00:06:08,760 Speaker 1: We see this every time there is a school shooting, right, 98 00:06:09,080 --> 00:06:11,880 Speaker 1: who what's the race of the perpetrator? What did their 99 00:06:11,920 --> 00:06:18,159 Speaker 1: parents believe? Everything immediately becomes a larger scale story. And 100 00:06:18,520 --> 00:06:21,440 Speaker 1: I barely had time to wake up the next morning 101 00:06:21,520 --> 00:06:24,040 Speaker 1: after we were up dealing with the tornadoes during the 102 00:06:24,160 --> 00:06:27,279 Speaker 1: night with the kids and everything else, before I get 103 00:06:27,320 --> 00:06:31,440 Speaker 1: on social media and am immediately being told this happened 104 00:06:31,480 --> 00:06:35,599 Speaker 1: because of global warm right It's people are are upset, 105 00:06:36,040 --> 00:06:38,599 Speaker 1: People are in some cases heartbroken, and you know, lost 106 00:06:38,600 --> 00:06:40,960 Speaker 1: their homes, lost, perhaps a family member who don't even 107 00:06:41,040 --> 00:06:44,279 Speaker 1: hardly focus on that, And there's not even a moment 108 00:06:44,320 --> 00:06:47,640 Speaker 1: of let's all just come together as a nation, as 109 00:06:47,640 --> 00:06:49,839 Speaker 1: a state, as a community, and let's take care of 110 00:06:49,920 --> 00:06:54,119 Speaker 1: people immediately. Joe Biden starts with the climate change stuff 111 00:06:55,520 --> 00:06:58,599 Speaker 1: right away without even thinking about it. All that I 112 00:06:58,680 --> 00:07:02,520 Speaker 1: know is that the intensity of the weather across the 113 00:07:02,640 --> 00:07:05,920 Speaker 1: board has some impacts as a consequence of the warming 114 00:07:05,960 --> 00:07:10,120 Speaker 1: of the planet and the climate change. The specific impact 115 00:07:10,600 --> 00:07:14,040 Speaker 1: on these specific storms, I can't say. At this point. 116 00:07:14,280 --> 00:07:17,040 Speaker 1: I'm going to be asking the EPA and others to 117 00:07:17,040 --> 00:07:21,440 Speaker 1: take a look at that. But the fact is that Clay, 118 00:07:21,240 --> 00:07:25,040 Speaker 1: they can't tell specific impact on a specific storm, or 119 00:07:25,200 --> 00:07:28,400 Speaker 1: are we all supposed to be in eats one weather event. 120 00:07:28,400 --> 00:07:30,800 Speaker 1: They're going to give you the specific impact of climate 121 00:07:30,880 --> 00:07:33,760 Speaker 1: change on this, and notice how how he starts out 122 00:07:33,800 --> 00:07:36,520 Speaker 1: with the All I know is that climate change, the 123 00:07:36,520 --> 00:07:39,320 Speaker 1: warming of the earth. Can we just get clarity is 124 00:07:39,360 --> 00:07:42,920 Speaker 1: it warming or is it changing? Because they did the 125 00:07:42,960 --> 00:07:45,640 Speaker 1: whole changing thing because they didn't have the warming that 126 00:07:45,680 --> 00:07:48,120 Speaker 1: they needed to show over a period of time. And 127 00:07:48,160 --> 00:07:50,960 Speaker 1: this goes into my basic thesis for dealing with the 128 00:07:51,000 --> 00:07:54,160 Speaker 1: American left today. They're just wrong about everything. They're just 129 00:07:54,240 --> 00:07:59,600 Speaker 1: wrong about everything. It's it's just particularly frustrating to have 130 00:08:00,080 --> 00:08:05,680 Speaker 1: things that cannot be directly correlated immediately correlated and made political. 131 00:08:07,480 --> 00:08:10,680 Speaker 1: The focus here should be on helping these communities to 132 00:08:10,720 --> 00:08:13,040 Speaker 1: get cleaned up. And we know because many of these 133 00:08:13,040 --> 00:08:17,760 Speaker 1: communities are listeners of the show, we would encourage anybody 134 00:08:17,800 --> 00:08:20,760 Speaker 1: out there to be able to do whatever they can 135 00:08:20,920 --> 00:08:25,080 Speaker 1: to help with the entire cleanup process and everything else. 136 00:08:25,640 --> 00:08:29,080 Speaker 1: But you know, I live sort of in a tornado alley, 137 00:08:29,240 --> 00:08:34,320 Speaker 1: and I will say this, they have gotten incredibly good, 138 00:08:35,000 --> 00:08:40,240 Speaker 1: incredibly good in terms of weather at notifying you exactly 139 00:08:40,280 --> 00:08:43,360 Speaker 1: where tornadoes are, exactly what you need to do to 140 00:08:43,440 --> 00:08:45,960 Speaker 1: try to help and make your family as safe as 141 00:08:46,000 --> 00:08:49,959 Speaker 1: they possibly can be. And this has been going on 142 00:08:50,200 --> 00:08:54,640 Speaker 1: my entire life. Tornadoes have been sweeping through the country. 143 00:08:55,000 --> 00:08:58,360 Speaker 1: And again, what I would point to is thanks to 144 00:08:58,400 --> 00:09:01,080 Speaker 1: the technology that we have developed to a large extent, 145 00:09:01,160 --> 00:09:05,040 Speaker 1: and probably to homes being built to higher standards. On 146 00:09:05,080 --> 00:09:08,120 Speaker 1: some level, I would imagine that's also helped the number 147 00:09:08,120 --> 00:09:11,559 Speaker 1: of people that die from tornadoes and severe what weather 148 00:09:11,679 --> 00:09:16,600 Speaker 1: related events are down substantially in the past several decades. 149 00:09:16,640 --> 00:09:19,480 Speaker 1: Do you think that the average Democrat out there who 150 00:09:19,520 --> 00:09:22,440 Speaker 1: hears about climate change all the time is aware that 151 00:09:22,559 --> 00:09:26,240 Speaker 1: fewer people are dying from hurricanes, from tornadoes, from earthquakes, 152 00:09:26,280 --> 00:09:31,000 Speaker 1: from whatever severe weather cause as out there, they're down precipitously. 153 00:09:31,320 --> 00:09:33,360 Speaker 1: I don't think most people are aware of that. There 154 00:09:33,520 --> 00:09:36,480 Speaker 1: is a sign of strength here. Here's the other thing, buck. 155 00:09:37,000 --> 00:09:41,160 Speaker 1: Do we really think that we're going to stop tornadoes 156 00:09:41,360 --> 00:09:45,679 Speaker 1: from happening by something that we do? I mean, that 157 00:09:45,800 --> 00:09:50,160 Speaker 1: seems to me to be an outrageous claim, which is 158 00:09:50,240 --> 00:09:53,160 Speaker 1: that if you are arguing that we are responsible for 159 00:09:53,200 --> 00:09:57,520 Speaker 1: climate change, you're also arguing that based on things that 160 00:09:57,600 --> 00:10:02,400 Speaker 1: we do, we can minish the number of tornadoes that 161 00:10:02,440 --> 00:10:05,560 Speaker 1: are existing. That seems to me to be a rather 162 00:10:05,720 --> 00:10:10,840 Speaker 1: outlandish claim that whatever we are doing is going to 163 00:10:11,000 --> 00:10:14,959 Speaker 1: somehow diminish the number of tornadoes I just flat out 164 00:10:15,840 --> 00:10:18,559 Speaker 1: in the same way you're being able to us is 165 00:10:18,600 --> 00:10:20,320 Speaker 1: going to happen. It's crazy. I mean, we all know 166 00:10:20,360 --> 00:10:22,080 Speaker 1: it's great. This is a this is nuts. I mean 167 00:10:22,120 --> 00:10:24,679 Speaker 1: this is the same the same line of logic they 168 00:10:24,760 --> 00:10:26,280 Speaker 1: used to say that we have to have all this 169 00:10:26,320 --> 00:10:29,040 Speaker 1: money in the build Back Better Plan, we have to 170 00:10:29,040 --> 00:10:31,079 Speaker 1: spend all this money in the build Back Better plan 171 00:10:31,400 --> 00:10:35,480 Speaker 1: for things like tree equity, because that's you know that, 172 00:10:35,480 --> 00:10:38,440 Speaker 1: that's part of the combating climate change agenda that has 173 00:10:38,480 --> 00:10:40,920 Speaker 1: inserted into this the Green New Deal aspects of it. 174 00:10:41,080 --> 00:10:43,080 Speaker 1: They want to spend a tremendous amount of money essentially 175 00:10:43,160 --> 00:10:46,319 Speaker 1: used the climate as an excuse for wealth redistribution. It's 176 00:10:46,320 --> 00:10:49,800 Speaker 1: just green Marxism instead of a red Marxism. And this 177 00:10:49,920 --> 00:10:52,960 Speaker 1: is a central tenant now the Democrat Party. You have 178 00:10:53,040 --> 00:10:56,199 Speaker 1: people at the Defense Department who were talking about climate 179 00:10:56,280 --> 00:10:58,520 Speaker 1: change is the primary threat we face. We got Russia 180 00:10:58,760 --> 00:11:01,760 Speaker 1: maybe about to invade you rain, We've got China thinking 181 00:11:01,800 --> 00:11:03,400 Speaker 1: long and hard about what they could get away with 182 00:11:03,520 --> 00:11:05,880 Speaker 1: regard to Taiwan. And we have the leadership of the 183 00:11:05,960 --> 00:11:09,640 Speaker 1: United States military talking about the transagenda and the Green 184 00:11:09,679 --> 00:11:12,880 Speaker 1: New Deal and climate change as if that's something they 185 00:11:12,880 --> 00:11:14,280 Speaker 1: need to be focused in on me. And I actually 186 00:11:14,360 --> 00:11:15,840 Speaker 1: just was speaking to some friends of mine in the 187 00:11:15,840 --> 00:11:17,440 Speaker 1: military about this over the weekend. I said, is this 188 00:11:17,480 --> 00:11:19,600 Speaker 1: really said? Yeah, this is a this is absolutely real 189 00:11:19,679 --> 00:11:22,080 Speaker 1: from the top. Barack Obama gave his speech when he 190 00:11:22,120 --> 00:11:24,640 Speaker 1: was still Commander in Chief at the I think it 191 00:11:24,720 --> 00:11:28,840 Speaker 1: was the Coastguard Academy, not naval, where he said the 192 00:11:28,840 --> 00:11:32,360 Speaker 1: biggest threat the military face is the biggest national security 193 00:11:32,440 --> 00:11:36,960 Speaker 1: A specific national security threat was climate change. I mean, 194 00:11:36,960 --> 00:11:39,200 Speaker 1: this is this is a lunacy, right, this is but 195 00:11:39,280 --> 00:11:43,320 Speaker 1: it's the same mindset of people that think that the 196 00:11:43,320 --> 00:11:45,480 Speaker 1: apparatus of the elites is on their side. So it 197 00:11:45,520 --> 00:11:48,199 Speaker 1: doesn't matter if basic common sense can a lie, you 198 00:11:48,240 --> 00:11:49,720 Speaker 1: to see through it right away. And this is what 199 00:11:49,760 --> 00:11:53,400 Speaker 1: we have here. And it's also just gross, like something 200 00:11:53,480 --> 00:11:56,240 Speaker 1: horrible has just happened and we should all just take 201 00:11:56,280 --> 00:11:59,199 Speaker 1: a moment to say, let's find everybody, get everybody, help, 202 00:11:59,240 --> 00:12:02,000 Speaker 1: get everybody back their feet. You know, it's your community, Claire, right, 203 00:12:02,000 --> 00:12:04,840 Speaker 1: I mean, it's right in your your backyard. Instead of 204 00:12:04,840 --> 00:12:07,199 Speaker 1: that being the focus, even for a week, we have 205 00:12:07,280 --> 00:12:10,079 Speaker 1: Biden muttering about climate change and the FUMA director doing 206 00:12:10,080 --> 00:12:13,360 Speaker 1: the same. It's gross well, and it's also emblematic of 207 00:12:13,960 --> 00:12:19,880 Speaker 1: larger human failures. Throughout history, mankind has tried to in 208 00:12:19,960 --> 00:12:24,360 Speaker 1: some way influence the weather, right, I mean throughout history. 209 00:12:24,360 --> 00:12:27,319 Speaker 1: I mean if you look at at at the way 210 00:12:27,360 --> 00:12:30,959 Speaker 1: that that Stonehenge may have been built, if you look 211 00:12:31,000 --> 00:12:34,480 Speaker 1: at what the Mayans did, it was all related to 212 00:12:34,559 --> 00:12:39,400 Speaker 1: celestial heavenly events and very often needing more rain, needing 213 00:12:39,520 --> 00:12:44,160 Speaker 1: less rain, and how the climate overall impacts their ability 214 00:12:44,240 --> 00:12:48,640 Speaker 1: to have a normal harvest and a normal life. And 215 00:12:49,120 --> 00:12:54,400 Speaker 1: there's a there's a lack of human control that is 216 00:12:54,440 --> 00:12:57,520 Speaker 1: embedded still in the idea that we can control the 217 00:12:57,600 --> 00:13:01,719 Speaker 1: weather and we can't. And so the concept that if 218 00:13:01,760 --> 00:13:06,040 Speaker 1: we spend more money on green new deal, somehow tornadoes 219 00:13:06,080 --> 00:13:10,480 Speaker 1: and hurricanes are going to become less likely is frankly 220 00:13:10,800 --> 00:13:15,520 Speaker 1: absolute balderdash. If you look at what the data is reflecting. 221 00:13:15,880 --> 00:13:18,040 Speaker 1: In the meantime, Do you have an iPhone on your 222 00:13:18,080 --> 00:13:21,480 Speaker 1: holiday shopping list but you haven't made the gift purchase yet. 223 00:13:21,720 --> 00:13:25,000 Speaker 1: Pure Talk has a iPhone twelve starting at four seventy nine. 224 00:13:25,040 --> 00:13:27,559 Speaker 1: It'll get to you in time for the holidays. They 225 00:13:27,559 --> 00:13:30,160 Speaker 1: have the iPhone thirteens too. Pure Talk is the cell 226 00:13:30,240 --> 00:13:34,400 Speaker 1: company welcoming everyone to a newer, better value cell phone 227 00:13:34,440 --> 00:13:37,480 Speaker 1: service every day thirty dollars a month plan gives you 228 00:13:37,559 --> 00:13:41,640 Speaker 1: unlimited talk tech six gigs of data, and they're pricing 229 00:13:41,679 --> 00:13:45,880 Speaker 1: on phones and service is outstanding, but so is their 230 00:13:45,960 --> 00:13:50,040 Speaker 1: customer service. Operated by customer consumer affairs. They make it 231 00:13:50,160 --> 00:13:52,400 Speaker 1: so easy for you to switch from your current carrier 232 00:13:52,760 --> 00:13:55,720 Speaker 1: and start getting these savings. You keep your phone and 233 00:13:55,920 --> 00:13:57,959 Speaker 1: your number. If you want one of these new iPhones 234 00:13:58,000 --> 00:14:00,880 Speaker 1: at a great price, you can keep your same phone number. 235 00:14:01,240 --> 00:14:03,199 Speaker 1: They do that as well. Buck, how do you get 236 00:14:03,200 --> 00:14:06,240 Speaker 1: hooked up from your cell phone dial pound two fifty 237 00:14:06,240 --> 00:14:09,640 Speaker 1: and say pure Talk and save an additional fifty percent 238 00:14:09,760 --> 00:14:12,560 Speaker 1: off your first month, plus save on a new phone 239 00:14:13,000 --> 00:14:17,680 Speaker 1: that's pound two five zero say pure Talk. Some restrictions apply. 240 00:14:17,800 --> 00:14:21,280 Speaker 1: Call for details. Classes are back in session here at 241 00:14:21,280 --> 00:14:25,320 Speaker 1: the Institute's of Advanced Conservative Studies. Clay Travis and Buck 242 00:14:25,360 --> 00:14:36,640 Speaker 1: sextons fundy EIB network. I don't want to be the 243 00:14:36,720 --> 00:14:39,000 Speaker 1: Buck Bringe because it is a great time of year, 244 00:14:39,120 --> 00:14:41,960 Speaker 1: but I just see that the Governor of New York State, 245 00:14:42,000 --> 00:14:45,320 Speaker 1: welcome back to Clay and Buck show. Govern New York 246 00:14:45,320 --> 00:14:49,640 Speaker 1: States put a mask mandate for all businesses statewide if 247 00:14:49,640 --> 00:14:52,520 Speaker 1: you don't have a vaccine mandate. So it's it's one 248 00:14:52,680 --> 00:14:56,680 Speaker 1: or the other. Now the harassment never ends. Are you 249 00:14:56,680 --> 00:14:58,160 Speaker 1: going to have to do the show in a mask? 250 00:14:58,280 --> 00:15:02,400 Speaker 1: Is this world we're headed? Excuse me, Clay a double mask, sir, 251 00:15:02,600 --> 00:15:06,000 Speaker 1: because I take the virus seriously. You know I shared 252 00:15:06,040 --> 00:15:09,240 Speaker 1: this on Twitter. Everyone has just forgotten about this fauci, 253 00:15:09,760 --> 00:15:13,200 Speaker 1: that evil little elf of the bad guy. Not what 254 00:15:13,320 --> 00:15:17,440 Speaker 1: of Santa's elves he's running around if he gives us presence? 255 00:15:17,720 --> 00:15:20,640 Speaker 1: All they have her masks and coal in the stocking 256 00:15:21,200 --> 00:15:25,880 Speaker 1: and he was wearing remember this ostentatiously double mask for 257 00:15:26,000 --> 00:15:29,280 Speaker 1: like up two months. What happened? We're having a rise 258 00:15:29,320 --> 00:15:32,320 Speaker 1: in cases? Where's all the double masking? And even cited 259 00:15:32,360 --> 00:15:35,360 Speaker 1: some bullcrap study. You know that Doctor Scott Atlas in 260 00:15:35,440 --> 00:15:38,400 Speaker 1: his book points out that one of the primary studies 261 00:15:38,880 --> 00:15:42,640 Speaker 1: the mask fanatics rely on is it even really a study? 262 00:15:42,960 --> 00:15:46,160 Speaker 1: It's an observational study. I e. A story that was 263 00:15:46,200 --> 00:15:48,360 Speaker 1: told about a woman who was a hairdresser. You a 264 00:15:48,360 --> 00:15:52,760 Speaker 1: woman hairdresser who wore a mask while she was giving people, 265 00:15:52,920 --> 00:15:55,320 Speaker 1: you know, hair treatment, And they said, well they didn't 266 00:15:55,400 --> 00:15:57,120 Speaker 1: she didn't spread it to all of them. First of all, 267 00:15:57,120 --> 00:15:59,400 Speaker 1: it is very unlikely she'd spread to more than one person. Second, all, 268 00:15:59,440 --> 00:16:00,880 Speaker 1: you know, they didn't even follow up and test all 269 00:16:00,920 --> 00:16:03,000 Speaker 1: the participants. Oh, of course not. They didn't even know. 270 00:16:03,400 --> 00:16:05,320 Speaker 1: So they're just saying, well, we heard about a woman 271 00:16:05,760 --> 00:16:09,320 Speaker 1: who was giving you know, hair color treatment or whatever, 272 00:16:09,640 --> 00:16:11,520 Speaker 1: and she didn't give it to all of her clients. 273 00:16:11,520 --> 00:16:14,760 Speaker 1: Therefore in the master Okay, so we can come back 274 00:16:14,760 --> 00:16:17,800 Speaker 1: in Wilson a second. But I just my friends, we're 275 00:16:17,800 --> 00:16:21,200 Speaker 1: gonna talk about the outdoor situation with children who have 276 00:16:21,280 --> 00:16:27,160 Speaker 1: to sit in freezing cold temperatures, adults who are you know, 277 00:16:27,480 --> 00:16:30,240 Speaker 1: at much higher risk. I'm talking about older adults can 278 00:16:30,280 --> 00:16:33,080 Speaker 1: sit inside in New York at a bar. By the way, 279 00:16:33,160 --> 00:16:35,200 Speaker 1: I say, God, bless go for it. I'm all for this. 280 00:16:35,480 --> 00:16:37,440 Speaker 1: But they can do that. But kids, we're gonna talk 281 00:16:37,480 --> 00:16:40,760 Speaker 1: about that at a moment. Mask mandate, Clay No, I 282 00:16:40,800 --> 00:16:43,520 Speaker 1: want to see the New York Times editorial board trying 283 00:16:43,560 --> 00:16:45,760 Speaker 1: to defend a mask mandate at this point, as if 284 00:16:45,760 --> 00:16:49,120 Speaker 1: it works. I want to see these little commies have 285 00:16:49,240 --> 00:16:51,720 Speaker 1: to actually make the argument publicly. I know we got 286 00:16:51,800 --> 00:16:55,280 Speaker 1: a doc meteorologist who go Tom and Saint Paul Minnesota, 287 00:16:55,440 --> 00:17:00,280 Speaker 1: what's up, Sir Tom and Saint Paul, Minnesota, going once, 288 00:17:00,920 --> 00:17:03,000 Speaker 1: going twice. All Right, are you there? Are you there? 289 00:17:03,040 --> 00:17:05,000 Speaker 1: Are you there? Now we're here, let's go team. Sorry 290 00:17:05,000 --> 00:17:08,160 Speaker 1: about sorry about that, guys. Okay, So, I just wanted 291 00:17:08,200 --> 00:17:12,159 Speaker 1: to state the fact that the strongest tornadoes, the F 292 00:17:12,320 --> 00:17:15,800 Speaker 1: three e F three's to e f fives, have gone 293 00:17:15,800 --> 00:17:19,840 Speaker 1: down considerably since the nineteen fifties across the United States. 294 00:17:21,000 --> 00:17:23,439 Speaker 1: From nineteen fifty four to nineteen eighty five, we were 295 00:17:23,480 --> 00:17:27,960 Speaker 1: averaging almost fifty six of them a year, and today 296 00:17:28,080 --> 00:17:31,719 Speaker 1: we're averaging about just over thirty per year. So the 297 00:17:31,760 --> 00:17:37,520 Speaker 1: strongest tornadoes are going down greatly. And that's because kind 298 00:17:37,520 --> 00:17:42,160 Speaker 1: of indirectly here, it's probably or perhaps because because we 299 00:17:42,280 --> 00:17:47,359 Speaker 1: have warmed a bit um and with the lack of 300 00:17:47,520 --> 00:17:51,400 Speaker 1: contrast of temperatures from north to south across the northern hemisphere, 301 00:17:51,720 --> 00:17:57,760 Speaker 1: that tends to weaken storm So you are you a meteorologist. 302 00:17:58,440 --> 00:18:01,280 Speaker 1: I am, I am yes, I am. Oh. So that's fantastic. 303 00:18:01,320 --> 00:18:03,000 Speaker 1: Thank you for calling in and giving us that data. 304 00:18:03,080 --> 00:18:06,639 Speaker 1: Buck nearly a fifty percent decline in the severity of 305 00:18:06,880 --> 00:18:11,959 Speaker 1: tornado issues. It's amazing. November's financial numbers are released on 306 00:18:11,960 --> 00:18:15,959 Speaker 1: Friday only confirm what we're feeling. Financially, everything is more expensive. 307 00:18:16,280 --> 00:18:18,080 Speaker 1: They've been lying to you about how bad inflation is 308 00:18:18,080 --> 00:18:19,520 Speaker 1: going to be, how long it's going to be bad. 309 00:18:19,520 --> 00:18:21,800 Speaker 1: The value of the dollars a year bank account are 310 00:18:21,880 --> 00:18:25,800 Speaker 1: going down. It is shrinking in value. That's why we 311 00:18:25,880 --> 00:18:29,240 Speaker 1: suggest you invest a portion of your savings in real gold. 312 00:18:29,560 --> 00:18:31,760 Speaker 1: Not only is to protect the value of your savings account, 313 00:18:31,760 --> 00:18:34,800 Speaker 1: but it's a tangible, precious metal. You can take actual 314 00:18:34,800 --> 00:18:37,560 Speaker 1: physical possession off and it's not a complicated process. My 315 00:18:37,680 --> 00:18:39,639 Speaker 1: friends of the Oxford Gold Group are who you need 316 00:18:39,680 --> 00:18:42,480 Speaker 1: to call. They'll have real gold delivered to your home. 317 00:18:42,920 --> 00:18:45,679 Speaker 1: Call them at eight three three four zero four Gold 318 00:18:45,920 --> 00:18:47,560 Speaker 1: and learn how you can have real gold in your 319 00:18:47,600 --> 00:18:50,320 Speaker 1: IRA and delivered to your door. That's the Oxford Gold 320 00:18:50,320 --> 00:18:53,440 Speaker 1: Group eight three three four zero four Gold eight three 321 00:18:53,560 --> 00:18:57,800 Speaker 1: three four zero four g o LD The Oxford Gold 322 00:18:57,800 --> 00:19:02,000 Speaker 1: Group eight three three four oh four. Buck Sexton Fundy 323 00:19:02,119 --> 00:19:13,800 Speaker 1: EIB Network, Welcome back in Klake. You're Havis buck Sex, 324 00:19:14,040 --> 00:19:17,160 Speaker 1: the Christmas music man. I don't know about you, Buck, 325 00:19:17,200 --> 00:19:20,159 Speaker 1: but I always say, first of all, Merry Christmas to everybody. 326 00:19:20,280 --> 00:19:22,840 Speaker 1: I don't want to sound like Ebony's or Scrooge here. 327 00:19:23,800 --> 00:19:26,120 Speaker 1: But I always think you ever look at the ratings 328 00:19:26,600 --> 00:19:30,160 Speaker 1: for radio Christmas music. This is why we played Christmas music. 329 00:19:30,280 --> 00:19:32,280 Speaker 1: We did it on the sports talk show too, And 330 00:19:32,320 --> 00:19:34,480 Speaker 1: I've been making this argument for like over a decade. 331 00:19:35,119 --> 00:19:37,520 Speaker 1: We should all just take the month of December off 332 00:19:37,560 --> 00:19:42,040 Speaker 1: and just play Christmas music because Christmas music kicks everybody's 333 00:19:42,080 --> 00:19:46,160 Speaker 1: ass in the ratings for like the basically all of December. 334 00:19:46,520 --> 00:19:49,119 Speaker 1: And so it really is amazing if you look at 335 00:19:49,119 --> 00:19:52,399 Speaker 1: the numbers, how much desperate demand there is for Christmas 336 00:19:52,480 --> 00:19:54,920 Speaker 1: music when people are driving around in their car. Does 337 00:19:54,920 --> 00:19:58,800 Speaker 1: that ever surprise you? Look, I'm a I'm gonna like 338 00:19:58,880 --> 00:20:01,919 Speaker 1: the classics kind of guy, so some of the funky 339 00:20:01,960 --> 00:20:03,920 Speaker 1: stuff you're here in these days of Christmas music. Look, 340 00:20:04,160 --> 00:20:06,000 Speaker 1: whatever gets people in the mood of the spirit, as 341 00:20:06,000 --> 00:20:09,680 Speaker 1: far as I'm concerned, So I'll be the grinch. Then we, 342 00:20:10,080 --> 00:20:12,160 Speaker 1: by the way, have got a lot of great callers 343 00:20:12,880 --> 00:20:16,560 Speaker 1: calling in to talk about the data behind tornadoes, and 344 00:20:16,880 --> 00:20:19,480 Speaker 1: we want to encourage you guys. By the way, you 345 00:20:19,480 --> 00:20:22,879 Speaker 1: can go to Redcross dot org. That's the simplest way 346 00:20:22,960 --> 00:20:27,800 Speaker 1: to make donations for all of the tornado victims. Redcross 347 00:20:27,880 --> 00:20:31,560 Speaker 1: dot org Super simple, super easy. You can target your 348 00:20:31,640 --> 00:20:39,119 Speaker 1: donation towards many people all over the Mid State, mid South, Kentucky, Tennessee, Mississippi, Alabama, Illinois, 349 00:20:39,600 --> 00:20:43,119 Speaker 1: and others that had significant issues over the course of 350 00:20:43,160 --> 00:20:47,000 Speaker 1: the weekend. But I believe we have a storm chaser 351 00:20:47,200 --> 00:20:49,520 Speaker 1: online here Buck who wants to talk. And by the way, 352 00:20:49,560 --> 00:20:51,639 Speaker 1: great call. We just as we went to break that 353 00:20:51,760 --> 00:20:55,399 Speaker 1: since the nineteen fifties, the number of strong tornadoes e 354 00:20:55,520 --> 00:20:59,480 Speaker 1: F three, four and fives, he said, has declined from 355 00:20:59,480 --> 00:21:02,520 Speaker 1: an average of fifty six a year down to thirty, 356 00:21:02,640 --> 00:21:06,000 Speaker 1: and the overall number of deaths from tornadoes thankfully has 357 00:21:06,080 --> 00:21:09,920 Speaker 1: declined as well. Let's go to that storm chaser. Yeah, 358 00:21:09,960 --> 00:21:11,879 Speaker 1: well we got well, we got a storm chaser, Scott 359 00:21:11,960 --> 00:21:16,280 Speaker 1: in Norman, Oklahoma. Scott, how are you doing? Hey, guys? Hey, 360 00:21:16,320 --> 00:21:17,760 Speaker 1: not bad? Are you? So? How long are you've been 361 00:21:17,840 --> 00:21:22,600 Speaker 1: chasing storms? Man? I mean that sounds like the movie Twister. Yeah. Well, 362 00:21:22,640 --> 00:21:27,040 Speaker 1: I've been chasing for about twenty years now. I happen to, unfortunately, 363 00:21:27,119 --> 00:21:32,040 Speaker 1: see the destruction from the Joplin, Missouri tornado twenty thirteen 364 00:21:32,240 --> 00:21:35,920 Speaker 1: more Oklahoma tornado here, So I've I've seen quite a 365 00:21:35,960 --> 00:21:40,560 Speaker 1: bit of destruction, unfortunately, throughout my chasing career. So when 366 00:21:40,560 --> 00:21:43,720 Speaker 1: you're chasing, just for to contextualize for everybody out there, 367 00:21:44,600 --> 00:21:48,159 Speaker 1: you see the tornado, how is chasing a tornado differ 368 00:21:48,320 --> 00:21:52,120 Speaker 1: in daylight versus night And what are you trying to 369 00:21:52,200 --> 00:21:55,879 Speaker 1: do as a storm chaser? How close to this storm 370 00:21:55,920 --> 00:22:00,760 Speaker 1: do you? Guys typically get well chasing during the daytime. 371 00:22:00,760 --> 00:22:02,800 Speaker 1: Obviously it's going to be easier because you can see it. 372 00:22:02,840 --> 00:22:06,680 Speaker 1: You're not relying on lighting flashes or power line arcs 373 00:22:07,080 --> 00:22:10,440 Speaker 1: of surges when the tornadoes hitting power lines to see 374 00:22:10,480 --> 00:22:13,919 Speaker 1: the tornado, and that's that. Unfortunately, at nighttime, that's the 375 00:22:13,920 --> 00:22:17,360 Speaker 1: only way you can really see the tornado coming. And 376 00:22:17,520 --> 00:22:20,080 Speaker 1: uh one of the goals of a storm chaser is 377 00:22:20,160 --> 00:22:23,320 Speaker 1: to report to the National Weather Service. They're the ones 378 00:22:23,359 --> 00:22:26,720 Speaker 1: that are, you know, issuing all those warnings and getting 379 00:22:26,720 --> 00:22:29,320 Speaker 1: the getting the warning out there. And uh so we 380 00:22:29,440 --> 00:22:32,800 Speaker 1: do our best to try to get those confirm what 381 00:22:32,800 --> 00:22:35,080 Speaker 1: we're seeing out in the field so that the Weather 382 00:22:35,119 --> 00:22:37,800 Speaker 1: Service can better warn the storms and more accurately warn 383 00:22:37,840 --> 00:22:42,360 Speaker 1: the storms. So is the data correct based on your 384 00:22:42,440 --> 00:22:47,359 Speaker 1: knowledge that the number of severe tornadoes has declined as 385 00:22:47,400 --> 00:22:49,879 Speaker 1: we have moved into the twenty twenties, The number of 386 00:22:49,960 --> 00:22:52,520 Speaker 1: E three, four and fives. That's what a meteorologist just 387 00:22:52,600 --> 00:22:56,040 Speaker 1: called in and told us. Does that confirm with what 388 00:22:56,240 --> 00:23:00,680 Speaker 1: your understanding of the data would be? Yes, And especially 389 00:23:00,680 --> 00:23:05,439 Speaker 1: in the past ten years, severe tornadoes actually declined that 390 00:23:05,520 --> 00:23:10,119 Speaker 1: I've noticed. We haven't had a tornado outbreak up until 391 00:23:11,720 --> 00:23:16,240 Speaker 1: a couple days ago. In several i'd say about five years, 392 00:23:16,640 --> 00:23:19,680 Speaker 1: we haven't had a major outbreak. And technically this season 393 00:23:20,160 --> 00:23:22,959 Speaker 1: wasn't even a technically a tornado outbreak where we had 394 00:23:22,960 --> 00:23:25,760 Speaker 1: a family of tornadoes. It was only one storm that 395 00:23:25,800 --> 00:23:29,080 Speaker 1: went over two hundred and fifteen miles that was producing 396 00:23:29,400 --> 00:23:32,520 Speaker 1: either a family of tornadoes or one single tornado on 397 00:23:32,560 --> 00:23:36,080 Speaker 1: the ground. So when you say yes, I'm not kind 398 00:23:36,119 --> 00:23:38,600 Speaker 1: of fascinated as when you say a series of tornadoes, 399 00:23:38,840 --> 00:23:42,879 Speaker 1: you're talking about different tornadoes that are erupting in different 400 00:23:42,960 --> 00:23:46,440 Speaker 1: states that are from different storm systems, which differs from 401 00:23:46,440 --> 00:23:48,879 Speaker 1: this one based on what I've read, because this was 402 00:23:49,000 --> 00:23:52,560 Speaker 1: one massive tornado that went over two hundred miles and 403 00:23:52,640 --> 00:23:56,920 Speaker 1: rereaked havoc across multiple states. What you're talking about is 404 00:23:56,920 --> 00:24:00,480 Speaker 1: a series of different tornadoes that are being outed out 405 00:24:00,520 --> 00:24:03,680 Speaker 1: of the same storm system. Am I right about that? 406 00:24:03,680 --> 00:24:05,720 Speaker 1: That is correct. Yeah, Now there was I don't want 407 00:24:05,760 --> 00:24:10,040 Speaker 1: to confer reassure or go back and say that there 408 00:24:10,160 --> 00:24:13,400 Speaker 1: was another tornatic storm in Illinois, and I'm not talking 409 00:24:13,400 --> 00:24:16,600 Speaker 1: about that one. That was a separate storm that the 410 00:24:16,640 --> 00:24:20,159 Speaker 1: one I'm talking about went from Arkansas. I actually started 411 00:24:20,160 --> 00:24:24,040 Speaker 1: in Little Rock as a thunder a regular thunderstorm, and 412 00:24:24,480 --> 00:24:28,359 Speaker 1: moved across into the boothill of Missouri and continued on 413 00:24:28,520 --> 00:24:32,879 Speaker 1: into Kentucky. And by the time it got to about Jonesboro, 414 00:24:33,000 --> 00:24:36,959 Speaker 1: arkansass when it really started to put down a very 415 00:24:37,040 --> 00:24:41,160 Speaker 1: large tornado that we witnessed and reported in. And so 416 00:24:41,200 --> 00:24:45,879 Speaker 1: that's that's the one that that storm kept going just continuously. 417 00:24:45,920 --> 00:24:48,399 Speaker 1: And so Scott, I know, initially just just to get 418 00:24:48,560 --> 00:24:50,000 Speaker 1: I know, initially you called in because you want to 419 00:24:50,000 --> 00:24:54,040 Speaker 1: talk to us about how it's really structures that make 420 00:24:54,080 --> 00:24:56,520 Speaker 1: a huge difference here in terms of the engineering of 421 00:24:56,520 --> 00:24:59,960 Speaker 1: the structures that people are in living during a tornado. 422 00:25:00,160 --> 00:25:02,199 Speaker 1: You can you go into some about how how that 423 00:25:02,280 --> 00:25:07,520 Speaker 1: makes the big difference here, right, Yeah, So, um, uh, 424 00:25:07,560 --> 00:25:12,960 Speaker 1: your your structures, tornadoes reveal how strong a structure and 425 00:25:13,000 --> 00:25:18,000 Speaker 1: how well to structure is built. Uh. And so if 426 00:25:18,040 --> 00:25:20,920 Speaker 1: it doesn't matter how strong or a week. The tornado 427 00:25:21,040 --> 00:25:24,840 Speaker 1: was if it destroys a building, more than likely, if 428 00:25:24,840 --> 00:25:27,160 Speaker 1: it would flattens it, more than likely that building wasn't 429 00:25:27,160 --> 00:25:29,840 Speaker 1: built very well. And in these days, a lot of buildings, 430 00:25:29,920 --> 00:25:32,320 Speaker 1: you know, the the codes are a lot better now 431 00:25:32,320 --> 00:25:35,399 Speaker 1: than they work back then. Uh So people are slightly 432 00:25:35,440 --> 00:25:38,200 Speaker 1: safer now. I do know in Kentucky there is over 433 00:25:38,280 --> 00:25:41,360 Speaker 1: sixty deaths at that candle factory there in Mayfield, Kentucky. 434 00:25:41,840 --> 00:25:44,560 Speaker 1: Um So in a building like that, you know, you 435 00:25:44,600 --> 00:25:47,640 Speaker 1: can't there's nothing you can do. There's you can't really 436 00:25:47,680 --> 00:25:50,280 Speaker 1: take shelter anywhere in that large warehouse. It's just not 437 00:25:50,359 --> 00:25:54,520 Speaker 1: built to withstand violent tornadoes. So, um, you know, I 438 00:25:54,560 --> 00:25:57,239 Speaker 1: know that. I'm sure the media is talking about how 439 00:25:57,240 --> 00:25:59,879 Speaker 1: the deaths are going up from more violent tornadoes, but 440 00:26:00,040 --> 00:26:02,880 Speaker 1: that's just not the fact. It's you know, it's these 441 00:26:02,920 --> 00:26:06,000 Speaker 1: are you know, just freak events where the tornadoes just 442 00:26:06,040 --> 00:26:08,760 Speaker 1: happen to hit towns that haven't been hit in a 443 00:26:08,800 --> 00:26:12,040 Speaker 1: long time and those structures aren't up to code, you know, 444 00:26:12,080 --> 00:26:16,080 Speaker 1: and they will reveal that. Scott, thanks for calling it 445 00:26:16,119 --> 00:26:20,200 Speaker 1: for Norman, Oklahoma. Storm chaser M Grant in Outer Banks, 446 00:26:20,640 --> 00:26:24,080 Speaker 1: North Carolina and environmental engineer look at the audience. We 447 00:26:24,119 --> 00:26:26,600 Speaker 1: have your Clay's amazed askical, we got listening. Go ahead, 448 00:26:28,119 --> 00:26:30,879 Speaker 1: Hey guys, did us to you? And did us to 449 00:26:31,080 --> 00:26:35,480 Speaker 1: Russian heaven? Mega dido, sir? Thank you. Yeah, this is 450 00:26:35,560 --> 00:26:37,960 Speaker 1: like twenty five years first time I ever called in. 451 00:26:38,000 --> 00:26:41,880 Speaker 1: But um, yeah, you know my liberal friends that hyperventilate 452 00:26:41,960 --> 00:26:45,200 Speaker 1: about this global warming and it just gets so nauseating. 453 00:26:45,840 --> 00:26:48,479 Speaker 1: I just gonna remind him, And look, we don't have 454 00:26:48,600 --> 00:26:54,040 Speaker 1: enough data on this Earth to extrapolate out and say 455 00:26:54,119 --> 00:26:56,280 Speaker 1: that the Earth is burning up, that the Earth is 456 00:26:56,320 --> 00:27:01,440 Speaker 1: warming and some you know, dismal trend. We know that 457 00:27:02,000 --> 00:27:04,359 Speaker 1: the Earth has cycles, you know, like the sideways, and 458 00:27:04,440 --> 00:27:07,560 Speaker 1: we've had cooling periods and we've had warming periods. You know, 459 00:27:08,080 --> 00:27:10,480 Speaker 1: most of those, by the way, we're probably set off 460 00:27:10,480 --> 00:27:13,560 Speaker 1: by major cataclysmic events, you know, like a you know, 461 00:27:13,600 --> 00:27:19,600 Speaker 1: a series of asteroids or giant volcano erupting like Yellowstone, 462 00:27:19,680 --> 00:27:23,640 Speaker 1: like the whole damn state blew up, you know. But yeah, 463 00:27:23,840 --> 00:27:26,240 Speaker 1: think about it. Mount Saint Helen's put put more CEO 464 00:27:26,280 --> 00:27:28,320 Speaker 1: two in the air than Yes, He's probably produces in 465 00:27:28,359 --> 00:27:33,240 Speaker 1: twenty years in one event, you know. So if the 466 00:27:33,320 --> 00:27:36,119 Speaker 1: Earth is you know, twenty six billion years old or 467 00:27:36,160 --> 00:27:38,880 Speaker 1: forty billion, however old it is. You know, we're looking 468 00:27:38,920 --> 00:27:41,240 Speaker 1: at data from like what the last three hundred years, 469 00:27:41,280 --> 00:27:44,240 Speaker 1: A couple hundred years I've recorded data. And even if 470 00:27:44,240 --> 00:27:46,840 Speaker 1: we use geological data and go back five thousand years, 471 00:27:47,000 --> 00:27:50,720 Speaker 1: you're still looking at such a sliver of information. It's 472 00:27:50,760 --> 00:27:55,800 Speaker 1: impossible to say that, yeah, we're having this global warming. 473 00:27:56,000 --> 00:27:58,280 Speaker 1: I don't know. Al Gore he said something a long 474 00:27:58,320 --> 00:28:01,760 Speaker 1: time ago, and people like al Goreford for some reason, 475 00:28:01,800 --> 00:28:05,199 Speaker 1: I don't grant. It's also crazy, man. Thanks for calling in. 476 00:28:05,280 --> 00:28:07,879 Speaker 1: I appreciate it, appreciate it. Thanks so much, Clay, and 477 00:28:07,920 --> 00:28:11,119 Speaker 1: I thank you for your time. Suck. I want to 478 00:28:11,119 --> 00:28:13,200 Speaker 1: give your family members this year, with less than two 479 00:28:13,240 --> 00:28:17,119 Speaker 1: weeks to shop before Christmas, wish them a merry softness 480 00:28:17,160 --> 00:28:21,560 Speaker 1: with new comfy underwear, loungeware and pajamas from Tommy John. 481 00:28:21,840 --> 00:28:24,560 Speaker 1: When your loved ones start their day wearing Tommy John, 482 00:28:24,560 --> 00:28:28,480 Speaker 1: they're that much more comfortable so they can do everything better. 483 00:28:28,840 --> 00:28:33,679 Speaker 1: Tommy John's loungewares define softness. Their fabrics are a soft 484 00:28:33,760 --> 00:28:36,760 Speaker 1: tribelend of luxury and have a four way stretch. There's 485 00:28:36,840 --> 00:28:40,080 Speaker 1: no such thing as limpballs or fuzz with this fabric. 486 00:28:40,280 --> 00:28:43,000 Speaker 1: With over seventeen million pairs sold, giving the gift of 487 00:28:43,000 --> 00:28:46,080 Speaker 1: Tommy John underwear and loungeware has become a holiday tradition 488 00:28:46,120 --> 00:28:49,560 Speaker 1: for families. Tommy John doesn't have customers, they have fanatics, 489 00:28:49,800 --> 00:28:53,560 Speaker 1: and we're proudly two of them. Returns and exchanges are free, 490 00:28:53,600 --> 00:28:56,040 Speaker 1: and it's all backed by Tommy John's best pair you'll 491 00:28:56,080 --> 00:28:59,520 Speaker 1: ever wear. Or it's free guarantee Clay. How do they 492 00:28:59,520 --> 00:29:02,160 Speaker 1: get it? Well? Right now, buck, you can get twenty 493 00:29:02,160 --> 00:29:06,120 Speaker 1: five dollars off site wide plus free shipping at Tommy 494 00:29:06,240 --> 00:29:09,720 Speaker 1: john dot com slash clay. That's Tommy john dot com 495 00:29:09,720 --> 00:29:14,680 Speaker 1: slash clay twenty five dollars off sitewide plus free shipping. 496 00:29:14,720 --> 00:29:17,880 Speaker 1: That is an incredible deal. Order now so your gifts 497 00:29:18,000 --> 00:29:22,240 Speaker 1: arrive before the holidays. Tommy john dot com slash clay 498 00:29:22,320 --> 00:29:26,280 Speaker 1: twenty five dollars off sitewide plus free shipping. Sea site 499 00:29:26,360 --> 00:29:30,200 Speaker 1: for details. Now. I remember making a prediction. I know 500 00:29:30,240 --> 00:29:33,080 Speaker 1: how resilient you are, and I know that you people 501 00:29:33,120 --> 00:29:35,240 Speaker 1: don't just sit out there and take it. You're gonna 502 00:29:35,240 --> 00:29:38,080 Speaker 1: do what you can to overcome. You're not just gonna 503 00:29:38,080 --> 00:29:41,560 Speaker 1: sit there and take it. The wisdom of Rush now 504 00:29:41,760 --> 00:29:45,760 Speaker 1: with Clay Travis and Buck Sexton on the EIB Network. 505 00:29:53,800 --> 00:29:57,400 Speaker 1: Welcome back to Clay and Buck Show, My friends. We 506 00:29:57,480 --> 00:30:01,400 Speaker 1: have author filmmaker pot castor Danish Da SUSA coming up 507 00:30:01,440 --> 00:30:02,960 Speaker 1: in just a few minutes with us to talk about 508 00:30:03,000 --> 00:30:08,960 Speaker 1: the Geelayane Maxwell trial, which has gotten very little attention 509 00:30:09,080 --> 00:30:12,120 Speaker 1: compared to what you would think if we were just 510 00:30:12,680 --> 00:30:14,880 Speaker 1: looking at this in advance, and given how much we've 511 00:30:14,920 --> 00:30:18,520 Speaker 1: had mega trials dominating news coverage of the last couple 512 00:30:18,600 --> 00:30:22,480 Speaker 1: of months, this one really seems to be getting lost 513 00:30:22,600 --> 00:30:25,240 Speaker 1: in the shuffle. And I don't think it's an accident, 514 00:30:25,400 --> 00:30:27,959 Speaker 1: and neither does deniesh And we'll we talk to him 515 00:30:27,960 --> 00:30:30,680 Speaker 1: about that in a few minutes. But Denish is also 516 00:30:30,760 --> 00:30:34,160 Speaker 1: a best best selling author. Speaking of best selling authors, 517 00:30:34,440 --> 00:30:38,520 Speaker 1: you like that, Clay Smooth, That's how we roll. Speaking 518 00:30:38,600 --> 00:30:42,000 Speaker 1: of best selling authors, we have JK. Rowling. I have 519 00:30:42,240 --> 00:30:45,840 Speaker 1: never read a Harry Potter book. Oh. I was wow, 520 00:30:45,920 --> 00:30:49,040 Speaker 1: How is that possible? Because I read real books? Clay, 521 00:30:49,160 --> 00:30:52,120 Speaker 1: What do you mean I read Harry? I read the 522 00:30:52,160 --> 00:30:54,800 Speaker 1: Harry Potter books while I was in law school, so 523 00:30:54,920 --> 00:30:57,480 Speaker 1: that I had something. You're reading all this serious stuff 524 00:30:57,600 --> 00:31:00,480 Speaker 1: all day long, and then as I would get ready 525 00:31:00,520 --> 00:31:03,280 Speaker 1: for bed. I had the Harry Potter books beside my 526 00:31:03,600 --> 00:31:06,440 Speaker 1: bed to kind of take me outside of serious talk. 527 00:31:06,520 --> 00:31:09,000 Speaker 1: I worked with a couple of super serious people back 528 00:31:09,080 --> 00:31:11,960 Speaker 1: in my government days, and I will say they swore 529 00:31:12,200 --> 00:31:14,600 Speaker 1: they were like in their thirties, and they swore by 530 00:31:14,800 --> 00:31:16,920 Speaker 1: the not only I mean they love Harry Potter. There 531 00:31:16,960 --> 00:31:18,520 Speaker 1: were people that came across. You're not the only one, 532 00:31:18,880 --> 00:31:21,880 Speaker 1: but also what was the book about the werewolf teenager 533 00:31:22,080 --> 00:31:24,360 Speaker 1: and the wolf I mean the vampire teenagers? Yeah? I 534 00:31:24,400 --> 00:31:28,920 Speaker 1: didn't read those Twilight Twilight series. Okay, all right, there's 535 00:31:28,960 --> 00:31:32,120 Speaker 1: wild there's these vampires. Yeah, there's there's Clays like the 536 00:31:32,560 --> 00:31:35,120 Speaker 1: real guys read the you know, read Harry Potter. Not 537 00:31:35,440 --> 00:31:37,400 Speaker 1: so I've now read it with my kids. So the 538 00:31:37,520 --> 00:31:40,520 Speaker 1: kids also great kids books when you have kids. So 539 00:31:40,600 --> 00:31:43,440 Speaker 1: I'm still surprised that you haven't read any Twilight contingent 540 00:31:43,520 --> 00:31:45,920 Speaker 1: of this audience, Clay is shaking their heads at you 541 00:31:46,120 --> 00:31:49,000 Speaker 1: right now. How dare you not celebrate twic What percentage 542 00:31:49,040 --> 00:31:51,720 Speaker 1: of our audience do you think has read Twilight versus 543 00:31:51,800 --> 00:31:54,680 Speaker 1: Harry Potter. I bet it's a huge Percy Potter, I would, 544 00:31:54,800 --> 00:32:00,720 Speaker 1: I would guess, you know, ten percent higher. No way, 545 00:32:00,800 --> 00:32:03,360 Speaker 1: there's a lot of grandparents. There's a lot of parents. 546 00:32:03,440 --> 00:32:05,760 Speaker 1: And then we've got we see the data a lot 547 00:32:05,840 --> 00:32:09,280 Speaker 1: of younger people who grew up reading Harry Potter. I 548 00:32:09,320 --> 00:32:11,960 Speaker 1: would bet it's at least twenty five or thirty percent 549 00:32:12,040 --> 00:32:15,680 Speaker 1: twilight way lower. That was that that single digits for sure, 550 00:32:15,800 --> 00:32:17,680 Speaker 1: that's probably low end single digits. All right, But let's 551 00:32:17,720 --> 00:32:19,240 Speaker 1: get to J. K Rowling because there's a reason why 552 00:32:19,240 --> 00:32:21,479 Speaker 1: I brought her up other than the fact that now 553 00:32:21,480 --> 00:32:23,560 Speaker 1: I'm gonna have to read the Harry Potter series over 554 00:32:23,640 --> 00:32:25,400 Speaker 1: my vacation here, just so Clay and I have something 555 00:32:25,440 --> 00:32:29,200 Speaker 1: that we can dive into. JK Rowling causing controversy here, 556 00:32:29,240 --> 00:32:34,479 Speaker 1: according to New York Post, why because of transphobia. They 557 00:32:34,520 --> 00:32:40,240 Speaker 1: are saying she went this, so they keep on telling 558 00:32:40,400 --> 00:32:43,400 Speaker 1: us it's not a big deal. Why do you care? 559 00:32:43,720 --> 00:32:45,600 Speaker 1: Why is it an issue when we talk about the 560 00:32:45,600 --> 00:32:51,360 Speaker 1: trans agenda? Well, she wrote war is peace, freedom is slavery, 561 00:32:51,520 --> 00:32:56,480 Speaker 1: ignorance is strength and the m am I allowed to 562 00:32:56,480 --> 00:32:59,600 Speaker 1: say that on air. I don't know the individuals with 563 00:32:59,800 --> 00:33:04,120 Speaker 1: mall genitalia that I'm allowed to say. Who raped you 564 00:33:04,560 --> 00:33:06,920 Speaker 1: is a woman? That is what she tweeted, right, I 565 00:33:07,040 --> 00:33:08,880 Speaker 1: noticed how you were quiet? Am I allowed to say that? 566 00:33:09,160 --> 00:33:12,040 Speaker 1: Can you say the p world? You can say penis, 567 00:33:12,240 --> 00:33:14,520 Speaker 1: you can say penis on the radio? Okay, all right, 568 00:33:14,640 --> 00:33:18,560 Speaker 1: so there we go. He anybody was wondering, Yeah, but yes. Wait. 569 00:33:18,640 --> 00:33:22,720 Speaker 1: So so here's the seven understands. The issue is Scottish police. 570 00:33:23,800 --> 00:33:26,560 Speaker 1: Because you have to remember, I love Braveheart. In Scotland 571 00:33:26,720 --> 00:33:29,080 Speaker 1: is like this imaginary, wonderful place in our minds from 572 00:33:29,120 --> 00:33:32,200 Speaker 1: history and everything else. Scotland's a bunch of socialist commies. 573 00:33:32,280 --> 00:33:35,040 Speaker 1: Now just remember that they run the country. Ever in 574 00:33:35,120 --> 00:33:37,040 Speaker 1: Scotland wants the government to pay for everything, all their 575 00:33:37,080 --> 00:33:43,280 Speaker 1: healthcare whatever. Scottish Police Clay are now logging individuals who 576 00:33:43,520 --> 00:33:47,560 Speaker 1: claim to be transgender but have done nothing officially to 577 00:33:47,840 --> 00:33:53,120 Speaker 1: transition as women in rape cases where they're so they're 578 00:33:53,200 --> 00:33:56,520 Speaker 1: now being officially logged by police. When a man rapes 579 00:33:56,560 --> 00:33:59,760 Speaker 1: a woman and says I'm actually transgender, the claim is enough. 580 00:34:00,480 --> 00:34:06,440 Speaker 1: They logged that as a female, a female perpetrated rape 581 00:34:06,680 --> 00:34:09,080 Speaker 1: and JK. Rowling has a problem with that because she's 582 00:34:09,120 --> 00:34:13,279 Speaker 1: not completely insane and now they say she's Transpola book again, 583 00:34:14,280 --> 00:34:17,360 Speaker 1: I give credit to JK. Rowling for being willing and 584 00:34:17,480 --> 00:34:20,440 Speaker 1: again her tweet I think is significant because what it 585 00:34:20,520 --> 00:34:24,600 Speaker 1: says is we're all being told things that we know 586 00:34:25,239 --> 00:34:30,040 Speaker 1: are fundamentally untrue. War is peace, freedom is slavery, Ignorance 587 00:34:30,120 --> 00:34:33,880 Speaker 1: is strength. The penist individual who raped you is a 588 00:34:34,000 --> 00:34:38,440 Speaker 1: woman with a link to what's going on in parts 589 00:34:38,480 --> 00:34:41,320 Speaker 1: of the UK. She's Scottish. I think he lived in 590 00:34:41,360 --> 00:34:44,000 Speaker 1: Scotland for substantial amounts of her life. I think that's 591 00:34:44,000 --> 00:34:46,880 Speaker 1: where she started writing the Harry Potter books in Edinburgh. 592 00:34:46,920 --> 00:34:50,319 Speaker 1: If I'm not mistaken, But the idea that you are 593 00:34:50,400 --> 00:34:54,719 Speaker 1: accused of rape and you tell a police officer actually 594 00:34:54,920 --> 00:34:57,960 Speaker 1: I'm a woman, and they log you if you are 595 00:34:58,000 --> 00:35:01,200 Speaker 1: a man who was accused of raping a woman, as 596 00:35:01,280 --> 00:35:04,120 Speaker 1: a woman who has committed a rape, even though you 597 00:35:04,320 --> 00:35:07,200 Speaker 1: have as you said mel Genitalia. I mean, it's all 598 00:35:07,239 --> 00:35:10,400 Speaker 1: insane and it ties in, honestly with what we were 599 00:35:10,440 --> 00:35:12,520 Speaker 1: talking about last week and what some of my writers 600 00:35:12,560 --> 00:35:15,120 Speaker 1: at OutKick we're on top of, which is the idea 601 00:35:15,200 --> 00:35:18,120 Speaker 1: that this biological man who has decided to become a 602 00:35:18,200 --> 00:35:22,439 Speaker 1: woman is setting all these different records now and doing 603 00:35:22,520 --> 00:35:24,719 Speaker 1: it as a women swimmer. And I give credit to JK. 604 00:35:24,880 --> 00:35:28,799 Speaker 1: Rowling because many celebrities buck won't even say anything about 605 00:35:28,840 --> 00:35:32,440 Speaker 1: these absurdities because they're terrified of exactly happening to her 606 00:35:32,560 --> 00:35:34,640 Speaker 1: what's happening, which is she's getting attacked like crazy. I 607 00:35:34,840 --> 00:35:38,560 Speaker 1: understand everybody. She's a lib and probably a socialist even 608 00:35:38,600 --> 00:35:41,280 Speaker 1: though she's a billionaire, like she advocates for big government 609 00:35:41,320 --> 00:35:44,759 Speaker 1: and socialist policies, but she also is a feminist of 610 00:35:44,880 --> 00:35:47,040 Speaker 1: some sort or things to herself in that way and 611 00:35:47,280 --> 00:35:52,520 Speaker 1: recognizes that the real end truth of the end state 612 00:35:52,560 --> 00:35:54,200 Speaker 1: of what the left pushes for is, in a sense, 613 00:35:54,280 --> 00:35:58,080 Speaker 1: the erasure of women. I mean, women no longer are 614 00:35:58,160 --> 00:36:01,080 Speaker 1: a category that makes women an idea and not a 615 00:36:01,120 --> 00:36:04,720 Speaker 1: physical reality, which even as I say that, it sounds 616 00:36:04,719 --> 00:36:06,800 Speaker 1: like I should be in a room with padded walls. 617 00:36:07,360 --> 00:36:10,200 Speaker 1: And yet this is mainstream thinking among the Democrat Party 618 00:36:10,239 --> 00:36:13,160 Speaker 1: here in America and among the left in the West 619 00:36:13,280 --> 00:36:17,000 Speaker 1: more broadly. And I just think that JK. Rowling deserves 620 00:36:17,040 --> 00:36:19,040 Speaker 1: some credit for standing up. I'm with you, Clay against 621 00:36:19,080 --> 00:36:22,200 Speaker 1: the heat on this one. Everything they tell you won't happen, 622 00:36:22,360 --> 00:36:25,840 Speaker 1: that's too crazy. When we're making the arguments ends up happening, 623 00:36:25,880 --> 00:36:27,400 Speaker 1: and they pretend they didn't say it. It's true with 624 00:36:27,480 --> 00:36:31,239 Speaker 1: the transagenda, it's true with COVID incrementalism, my men. I 625 00:36:31,480 --> 00:36:35,359 Speaker 1: expected Buck for us to get wildly attacked for our 626 00:36:35,480 --> 00:36:39,839 Speaker 1: story on the Upen swimmer. Nobody has even taken aim 627 00:36:39,880 --> 00:36:42,000 Speaker 1: at it because I think there's so few people in 628 00:36:42,080 --> 00:36:45,160 Speaker 1: the world of sports that are even willing to defend 629 00:36:45,239 --> 00:36:48,280 Speaker 1: the idea. Open invite you or I will debate, debate 630 00:36:48,400 --> 00:36:51,959 Speaker 1: any pundit on air who wants to defend the Upen 631 00:36:52,040 --> 00:36:53,800 Speaker 1: swimmer somewhere things. Let's see if anyone will take it. 632 00:36:53,920 --> 00:36:56,520 Speaker 1: Call in anyone from you know, CBNN, you name it, 633 00:36:56,920 --> 00:36:59,680 Speaker 1: bring it. Denisha Suss with us next, talking about the 634 00:37:00,160 --> 00:37:08,080 Speaker 1: Maxwell trial. Stick around for that. You're listening to Clay 635 00:37:08,200 --> 00:37:11,640 Speaker 1: Travis and Buck Sexton on the EIB Network