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 --> 00:00:07,680 Speaker 1: Sexton Show podcast. Welcome to the third hour of The 3 00:00:07,720 --> 00:00:11,480 Speaker 1: Clay Travis d. Buck Sexton Show. We are flying through 4 00:00:11,640 --> 00:00:14,400 Speaker 1: all the news of the day, all the analysis, insights 5 00:00:14,480 --> 00:00:18,120 Speaker 1: and truth telling that we need to hear, we need 6 00:00:18,160 --> 00:00:22,360 Speaker 1: to say, and hopefully sharing it all across America. If 7 00:00:22,400 --> 00:00:24,480 Speaker 1: you've missed any part of the show, remember you can 8 00:00:24,520 --> 00:00:26,320 Speaker 1: listen to the podcast of the Clay Travis end buck 9 00:00:26,360 --> 00:00:29,520 Speaker 1: Sexton Show. Please subscribe so it has always popping into 10 00:00:29,520 --> 00:00:31,560 Speaker 1: your feet. You miss it on the way home, or 11 00:00:31,600 --> 00:00:33,320 Speaker 1: getting up early in the morning the next day, whatever 12 00:00:33,360 --> 00:00:36,200 Speaker 1: it may be, I can, I'll subscribe The buck Sexton Show, 13 00:00:36,240 --> 00:00:38,360 Speaker 1: which I put out in the morning, a thirty minute 14 00:00:38,440 --> 00:00:41,600 Speaker 1: quick rundown, so I just kind of run through some things. 15 00:00:41,600 --> 00:00:44,000 Speaker 1: It's kind of like prep. It's like stretching, you know, 16 00:00:44,040 --> 00:00:46,280 Speaker 1: before the big game where I come up here with Clay. 17 00:00:46,440 --> 00:00:47,879 Speaker 1: So I do a little bit of a stretch for 18 00:00:47,880 --> 00:00:50,199 Speaker 1: twenty or thirty minutes and then we do the big 19 00:00:50,320 --> 00:00:53,000 Speaker 1: the big show. I want to talk to you about 20 00:00:53,040 --> 00:00:55,640 Speaker 1: what's going on with Ron De Santis. Though, because I 21 00:00:56,040 --> 00:00:57,800 Speaker 1: told Clay this, I had a very dear friend of 22 00:00:57,880 --> 00:00:59,360 Speaker 1: mine come up to me, who I hadn't seen her 23 00:00:59,360 --> 00:01:01,680 Speaker 1: a while and say that what we do here on 24 00:01:01,720 --> 00:01:04,800 Speaker 1: this show, have been doing and have done separately during 25 00:01:04,800 --> 00:01:08,160 Speaker 1: the pandemic on our respective shows and platforms, has just 26 00:01:08,200 --> 00:01:10,600 Speaker 1: been to say it's a source of comfort. Isn't even 27 00:01:10,600 --> 00:01:13,479 Speaker 1: really the right word. A source of sanity, like a 28 00:01:13,480 --> 00:01:15,559 Speaker 1: place where people are just going to be honest about 29 00:01:15,560 --> 00:01:18,200 Speaker 1: what they're seeing and what's going on, irrespective of all 30 00:01:18,280 --> 00:01:20,440 Speaker 1: the heat. I mean, I think I've had more people 31 00:01:20,600 --> 00:01:23,320 Speaker 1: say horrible things to me because of my stance on 32 00:01:23,400 --> 00:01:28,000 Speaker 1: Faucian masks than anything. And I'm extremely pro life. I'm 33 00:01:28,120 --> 00:01:31,120 Speaker 1: extremely opposed to affirmative action. I mean, there's a lot 34 00:01:31,160 --> 00:01:35,319 Speaker 1: of controversial stuff, but here we are now seeing that 35 00:01:35,360 --> 00:01:37,399 Speaker 1: there are some states that are pushing back, that are 36 00:01:37,400 --> 00:01:41,200 Speaker 1: fighting back. Governor Ronda Santists Governor Greg Abbott of Texas, 37 00:01:41,280 --> 00:01:44,280 Speaker 1: Ronda Santis of Florida in the lead here on this 38 00:01:44,400 --> 00:01:48,480 Speaker 1: two very important states, and Desantists is now looking to 39 00:01:48,520 --> 00:01:51,680 Speaker 1: work with the state legislature in Florida to ban all 40 00:01:51,880 --> 00:01:56,000 Speaker 1: vaccine mandates at the private sector level as well as 41 00:01:56,040 --> 00:01:58,559 Speaker 1: the public sector in the state of Florida. They called 42 00:01:58,600 --> 00:02:02,600 Speaker 1: a special legislative to do just that. Here is Governor 43 00:02:02,680 --> 00:02:05,840 Speaker 1: Ron De Santis explaining how this is the way. It's 44 00:02:05,880 --> 00:02:08,760 Speaker 1: also important for us to take a stand. If we 45 00:02:08,880 --> 00:02:12,680 Speaker 1: have unconstitutional mandates coming down from the federal government, we 46 00:02:12,800 --> 00:02:16,839 Speaker 1: have a responsibility to fight back and defend the constitutional system, 47 00:02:16,840 --> 00:02:20,920 Speaker 1: and we'll do it. But I also know, just on 48 00:02:20,960 --> 00:02:26,359 Speaker 1: a very practical level, this is not something these forced shots, 49 00:02:26,720 --> 00:02:28,600 Speaker 1: this is not something that's going to be good for 50 00:02:28,680 --> 00:02:32,200 Speaker 1: Florida's economy. We have a lot of folks in very 51 00:02:32,280 --> 00:02:35,359 Speaker 1: key industries. We're here at the hangar because we got 52 00:02:35,360 --> 00:02:37,160 Speaker 1: a lot of folks in the airlines that are back 53 00:02:37,200 --> 00:02:42,120 Speaker 1: there who are absolutely instrumental in America's economy, of particularly 54 00:02:42,160 --> 00:02:45,360 Speaker 1: Florida's economy, because we're the number one tourist destination of 55 00:02:45,400 --> 00:02:51,679 Speaker 1: the United States. Clay taking action leading, God bless him, 56 00:02:51,840 --> 00:02:55,240 Speaker 1: and let me just say this too. We talk a 57 00:02:55,280 --> 00:02:58,760 Speaker 1: lot about data on this show, and sometimes that data 58 00:02:58,919 --> 00:03:03,240 Speaker 1: is not necessarily encouraging. Certainly during the Biden administration, there's 59 00:03:03,280 --> 00:03:07,880 Speaker 1: been a lot of data inflation, border crossings, COVID that 60 00:03:07,960 --> 00:03:13,000 Speaker 1: has been really uncomfortable data to have to discuss. Buck 61 00:03:13,400 --> 00:03:17,960 Speaker 1: the national media is not talking about one of the 62 00:03:17,960 --> 00:03:20,880 Speaker 1: biggest issues that's I think going to continue to emerge, 63 00:03:21,000 --> 00:03:22,680 Speaker 1: and that is I know you were looking at the 64 00:03:22,760 --> 00:03:27,119 Speaker 1: England data. England just went over fifty thousand COVID cases 65 00:03:27,480 --> 00:03:31,079 Speaker 1: for the first time in months a day a day, yeah, 66 00:03:31,120 --> 00:03:34,520 Speaker 1: sorry for a day in England where they have really 67 00:03:34,560 --> 00:03:39,880 Speaker 1: good COVID data that's reliable for the nation. And Maine 68 00:03:40,400 --> 00:03:44,640 Speaker 1: and Vermont are two of the most vaccinated states in 69 00:03:44,680 --> 00:03:48,320 Speaker 1: our country and the number of COVID cases there are 70 00:03:48,360 --> 00:03:53,200 Speaker 1: skyrocketing as well. England just released new national data that 71 00:03:53,320 --> 00:03:57,080 Speaker 1: further confirms the people dying in their country right now 72 00:03:57,680 --> 00:04:01,600 Speaker 1: with COVID over seven percent of them are double vaccinated. 73 00:04:02,440 --> 00:04:05,400 Speaker 1: So if you look at the data out there right now, 74 00:04:06,040 --> 00:04:11,640 Speaker 1: Maine setting all time highs, Vermont setting all time highs. 75 00:04:12,320 --> 00:04:15,240 Speaker 1: No one in the media is talking about this. But 76 00:04:15,280 --> 00:04:18,360 Speaker 1: what Maine and Vermont have in common, obviously, is it 77 00:04:18,400 --> 00:04:22,040 Speaker 1: gets colder there earlier than it does in many other 78 00:04:22,080 --> 00:04:26,720 Speaker 1: parts of the country. There is an ominous tracking forecast 79 00:04:26,800 --> 00:04:31,440 Speaker 1: here that suggests and again COVID can make fools of predictors. 80 00:04:31,480 --> 00:04:33,359 Speaker 1: It certainly has done. And we're not trying to be 81 00:04:33,360 --> 00:04:35,000 Speaker 1: in the prediction business. We try to be in the 82 00:04:35,040 --> 00:04:37,679 Speaker 1: talk about the data business. Because Lord knows, I've gotten 83 00:04:37,680 --> 00:04:39,760 Speaker 1: a lot wrong. You have to when you try to 84 00:04:39,760 --> 00:04:42,880 Speaker 1: predict where this thing is going to go purely from 85 00:04:42,920 --> 00:04:45,880 Speaker 1: an epidemiological perspective. And by the way, Fauci, who's supposed 86 00:04:45,880 --> 00:04:48,440 Speaker 1: to be the biggest expert, has gotten everything wrong all 87 00:04:48,480 --> 00:04:51,280 Speaker 1: the time. The differences play. The people that admit that 88 00:04:51,320 --> 00:04:53,680 Speaker 1: they can't be wrong here are the only honest ones. 89 00:04:53,880 --> 00:04:58,200 Speaker 1: That's right, that's right. But I'm looking at the data 90 00:04:58,279 --> 00:05:03,799 Speaker 1: and I'm getting increasing concerned that we are headed for 91 00:05:04,360 --> 00:05:08,120 Speaker 1: a really rough winner and that everything out there that 92 00:05:08,240 --> 00:05:11,599 Speaker 1: is being sold to us, which is that this is 93 00:05:11,640 --> 00:05:14,919 Speaker 1: primarily a pandemic of the unvaccinated. How many times have 94 00:05:15,000 --> 00:05:18,719 Speaker 1: you heard Joe Biden utter phrases like that, Well, the 95 00:05:18,839 --> 00:05:23,240 Speaker 1: data doesn't reflect that. That's remotely true in Vermont in Maine, 96 00:05:23,279 --> 00:05:25,000 Speaker 1: And I tweeted this last night, But this is one 97 00:05:25,000 --> 00:05:27,080 Speaker 1: of the reasons why I'd like to have doctor Fauci 98 00:05:27,240 --> 00:05:30,080 Speaker 1: on this show, because he doesn't get asked honest and 99 00:05:30,120 --> 00:05:33,159 Speaker 1: intelligent questions by hardly anyone in the media. And the 100 00:05:33,279 --> 00:05:35,560 Speaker 1: number one question I would ask doctor Fauci if we 101 00:05:35,560 --> 00:05:37,120 Speaker 1: had him on this show right now, And I'm curious 102 00:05:37,160 --> 00:05:39,280 Speaker 1: what you think about this, and it ties in with 103 00:05:39,320 --> 00:05:41,280 Speaker 1: what's going on in Florida and what's going on all 104 00:05:41,279 --> 00:05:45,560 Speaker 1: over the country in terms of our basic freedoms. If 105 00:05:45,640 --> 00:05:50,479 Speaker 1: Vermont is ninety percent vaccinated, which is true, adults are, 106 00:05:51,240 --> 00:05:55,000 Speaker 1: and they are setting all time highs for COVID infections, 107 00:05:56,040 --> 00:06:00,520 Speaker 1: why is vaccination going to lead us out of this 108 00:06:00,600 --> 00:06:03,960 Speaker 1: COVID pandemic. Now, you could argue, Fauci, if you was smart, 109 00:06:04,080 --> 00:06:07,839 Speaker 1: might say, well, the vaccination is not going to stop 110 00:06:07,920 --> 00:06:11,240 Speaker 1: cases from spreading, but what it will do is limit 111 00:06:11,320 --> 00:06:14,360 Speaker 1: the overall severity of the infections. And that could be 112 00:06:14,400 --> 00:06:18,360 Speaker 1: an argument. But Buck, if I had told you back 113 00:06:18,400 --> 00:06:21,680 Speaker 1: in January when they were rolling out this vaccine that 114 00:06:21,839 --> 00:06:26,839 Speaker 1: as we approached late October, states like Maine and Vermont, 115 00:06:27,200 --> 00:06:29,400 Speaker 1: two of the most highly vaccinated states in the country, 116 00:06:29,440 --> 00:06:33,240 Speaker 1: would be setting all time highs, that would be staggering information. 117 00:06:33,400 --> 00:06:35,919 Speaker 1: It would be overwhelming, and it would go directly to 118 00:06:36,000 --> 00:06:39,919 Speaker 1: the efficacy and success of the vaccine itself, which is 119 00:06:39,960 --> 00:06:42,760 Speaker 1: the essence of this issue. I believe, if it really 120 00:06:42,839 --> 00:06:46,320 Speaker 1: is just unvaccinated people who are getting sick in Maine 121 00:06:46,320 --> 00:06:49,320 Speaker 1: and Vermont, why isn't that day to think about the 122 00:06:49,320 --> 00:06:53,039 Speaker 1: way it has always worked here when the apparatus and 123 00:06:53,080 --> 00:06:56,880 Speaker 1: the fauciites have numbers that they can point to, we 124 00:06:56,960 --> 00:06:58,719 Speaker 1: see them that they want people to know about. We 125 00:06:58,720 --> 00:07:01,359 Speaker 1: see it all the time. So why aren't we seeing 126 00:07:01,360 --> 00:07:02,960 Speaker 1: this day in and day out. Yeah, they'll give you 127 00:07:03,040 --> 00:07:06,840 Speaker 1: data from August. They'll give you data from sixty days 128 00:07:06,839 --> 00:07:10,600 Speaker 1: ago pretty readily, maybe from September. But we're now almost 129 00:07:10,640 --> 00:07:14,000 Speaker 1: through October, and we're at the point where the respiratory 130 00:07:14,120 --> 00:07:19,320 Speaker 1: virus season in the more temperate northern states of the 131 00:07:19,360 --> 00:07:21,640 Speaker 1: country starts to kick up in a serious way of 132 00:07:21,680 --> 00:07:23,440 Speaker 1: places like where I am here in New York, even 133 00:07:23,800 --> 00:07:26,680 Speaker 1: in Tennessee to a degree, Right, So this is happening. 134 00:07:26,960 --> 00:07:29,920 Speaker 1: Why don't we know what the numbers really are? And 135 00:07:30,000 --> 00:07:33,840 Speaker 1: also they have there's a fundamental disconnect that they don't address. 136 00:07:34,280 --> 00:07:37,600 Speaker 1: If we have to get people boosters, because without the boosters, 137 00:07:37,640 --> 00:07:40,400 Speaker 1: not only will they get sick, they could end up 138 00:07:40,400 --> 00:07:44,320 Speaker 1: in the hospital even as a vaccinated person. That is 139 00:07:44,360 --> 00:07:48,880 Speaker 1: an admission that this is effectively a short term therapeutic, 140 00:07:49,160 --> 00:07:52,720 Speaker 1: and that what we were sold as the vaccines were 141 00:07:52,760 --> 00:07:56,360 Speaker 1: sold on with these vaccines in the beginning is fundamentally 142 00:07:57,080 --> 00:08:00,480 Speaker 1: not what actually ended up happening. Not correct that's what 143 00:08:00,520 --> 00:08:03,520 Speaker 1: they don't ever want. So they're hoping to get everybody, Oh, boosters, boosters, 144 00:08:03,560 --> 00:08:06,280 Speaker 1: this is what we planned all along. It's absolutely not 145 00:08:06,320 --> 00:08:08,200 Speaker 1: what the plan was all along, at least not the 146 00:08:08,200 --> 00:08:10,600 Speaker 1: way they sold the plan along. Some people are saying, oh, no, bluck, 147 00:08:10,640 --> 00:08:13,080 Speaker 1: they always knew this. That may be true, but this 148 00:08:13,240 --> 00:08:15,240 Speaker 1: isn't the way that they got us to all agree 149 00:08:15,280 --> 00:08:17,120 Speaker 1: with this. And that's why I think Senator Senator Ran 150 00:08:17,240 --> 00:08:20,840 Speaker 1: Paul saying that this has just become so arbitrary and 151 00:08:20,920 --> 00:08:24,840 Speaker 1: so made up as they go along here really resonates. 152 00:08:25,000 --> 00:08:27,360 Speaker 1: So I think any mandate that ignores a science is 153 00:08:27,400 --> 00:08:30,320 Speaker 1: really arbitrary and capricious and should not be honored. So, 154 00:08:30,360 --> 00:08:32,640 Speaker 1: for example, many of these policemen environment were out there 155 00:08:32,640 --> 00:08:36,000 Speaker 1: every day. They caught COVID naturally. One hundred million Americans 156 00:08:36,000 --> 00:08:39,320 Speaker 1: have had COVID naturally and have developed antibodies and immunity 157 00:08:39,360 --> 00:08:42,200 Speaker 1: to it. Studies out of Israel said their immunities is 158 00:08:42,240 --> 00:08:46,000 Speaker 1: good or in all likelihood better than vaccinated immunity. But 159 00:08:46,080 --> 00:08:49,000 Speaker 1: the bottom line is all of their arguments fall. They say, oh, 160 00:08:49,040 --> 00:08:52,160 Speaker 1: the unvaccinated are making us less safe. Well, it turns 161 00:08:52,200 --> 00:08:54,280 Speaker 1: out that if you're vaccinated, you can carry it. Also 162 00:08:54,400 --> 00:08:57,000 Speaker 1: is there is no perfect safety that anybody can find. 163 00:08:57,360 --> 00:09:00,880 Speaker 1: And really the ultimate personal choice, the most personal choice 164 00:09:00,880 --> 00:09:02,960 Speaker 1: of all, is what you inject into your body, what 165 00:09:03,000 --> 00:09:05,319 Speaker 1: you take. And look, I'm not against a vaccine. If 166 00:09:05,360 --> 00:09:08,640 Speaker 1: you're at high risk in particular file means get vaccinated, 167 00:09:08,840 --> 00:09:10,920 Speaker 1: but you should have a choice. It's a free country. 168 00:09:11,240 --> 00:09:15,040 Speaker 1: Sounds like two people we know. Yeah, but this goes 169 00:09:15,120 --> 00:09:17,880 Speaker 1: to the very biggest question that I think is out 170 00:09:17,880 --> 00:09:21,560 Speaker 1: there about COVID. How do we land the plane? How 171 00:09:21,559 --> 00:09:25,040 Speaker 1: do we return to normalcy? If what we are being 172 00:09:25,120 --> 00:09:28,199 Speaker 1: sold as our pathway back to normalcy, because that's what 173 00:09:28,240 --> 00:09:31,199 Speaker 1: they're saying, Buck, They're saying, Hey, if everybody were vaccinated 174 00:09:31,280 --> 00:09:34,559 Speaker 1: right now, COVID wouldn't be an issue. And what I'm 175 00:09:34,600 --> 00:09:37,160 Speaker 1: seeing and what you're seeing with the data is that 176 00:09:37,320 --> 00:09:40,480 Speaker 1: is not true. And so if that's not true, which 177 00:09:40,559 --> 00:09:43,959 Speaker 1: is what the data is telling us, then how do 178 00:09:44,040 --> 00:09:47,160 Speaker 1: we return to normalcy? And how do we prepare the 179 00:09:47,200 --> 00:09:51,520 Speaker 1: American public for a reality because they've been so terrified 180 00:09:51,679 --> 00:09:55,280 Speaker 1: and so scared for a reality that COVID's never go 181 00:09:55,880 --> 00:09:57,520 Speaker 1: away and it's going to be here with us for 182 00:09:57,559 --> 00:09:59,520 Speaker 1: the rest of our lives. Clay, I want to have 183 00:09:59,600 --> 00:10:02,040 Speaker 1: you tell us because you've been following this more close 184 00:10:02,040 --> 00:10:04,679 Speaker 1: to me about in this Canter standing up to Chetna 185 00:10:04,760 --> 00:10:07,280 Speaker 1: and I also want to get into because you know 186 00:10:07,320 --> 00:10:08,720 Speaker 1: this is one of these days where we have ten 187 00:10:08,720 --> 00:10:10,760 Speaker 1: more topics we could hit. I think we should come 188 00:10:10,800 --> 00:10:13,040 Speaker 1: back and talk as well about this MIT professor, because 189 00:10:13,080 --> 00:10:15,560 Speaker 1: when you hear some of the objections too, or rather 190 00:10:15,600 --> 00:10:17,480 Speaker 1: he's not an MT professor, he's giving a lecture we're 191 00:10:17,480 --> 00:10:20,880 Speaker 1: supposed to at MT. The objections to why a scientist 192 00:10:20,920 --> 00:10:23,920 Speaker 1: should not be able to speak at a protigious university. 193 00:10:24,240 --> 00:10:26,640 Speaker 1: It's just purely because he doesn't vote the right way 194 00:10:26,640 --> 00:10:30,040 Speaker 1: on one issue essentially, and what this means for science folks, 195 00:10:30,080 --> 00:10:32,600 Speaker 1: which they tell us isn't about politics. We'll get to 196 00:10:32,640 --> 00:10:34,160 Speaker 1: all this, but when it comes to giving our dogs 197 00:10:34,160 --> 00:10:36,960 Speaker 1: the best meals possible, we always give this some thought. 198 00:10:37,840 --> 00:10:40,559 Speaker 1: Dog food is dead food. There are no live nutrients 199 00:10:40,559 --> 00:10:42,360 Speaker 1: in it, if you think about it. Food has to 200 00:10:42,360 --> 00:10:45,400 Speaker 1: sit on supermarket shelves for a long time. But dogs 201 00:10:45,440 --> 00:10:48,520 Speaker 1: need live nutrition like we do. That's why we recommend 202 00:10:48,600 --> 00:10:50,880 Speaker 1: rough greens. Rough Greens is not a dog food. It's 203 00:10:50,880 --> 00:10:53,280 Speaker 1: a healthy supplement you put into your dog's food with 204 00:10:53,400 --> 00:10:57,439 Speaker 1: all the live nutrients that are necessary for superior dog health. 205 00:10:57,600 --> 00:11:02,080 Speaker 1: I'm talking about vitamins, probiotics, enzymes, omega oils, and antioxidants. 206 00:11:02,600 --> 00:11:05,600 Speaker 1: There's no GMOs, antibiotics, hormones or fillers either, So this 207 00:11:05,679 --> 00:11:09,079 Speaker 1: is all good stuff for your pooch. Rough Greens will 208 00:11:09,120 --> 00:11:11,760 Speaker 1: make your dogs food better. Once you'll get is a 209 00:11:11,760 --> 00:11:14,439 Speaker 1: happier and healthier dog. It's really help with Tallula, the 210 00:11:14,520 --> 00:11:17,800 Speaker 1: Sexton family frenchie. Her stomach has just settled down. She 211 00:11:17,840 --> 00:11:20,240 Speaker 1: always had tummy trouble before. But you know, now she's 212 00:11:20,240 --> 00:11:23,520 Speaker 1: getting probiotics and vitamins. Thinks she really needs added into 213 00:11:23,520 --> 00:11:25,400 Speaker 1: her food. We didn't change your food, we add rough 214 00:11:25,480 --> 00:11:28,160 Speaker 1: Greens into it. The folks at rough Greens are so 215 00:11:28,280 --> 00:11:30,280 Speaker 1: confident your dog is gonna love it. They've got a 216 00:11:30,320 --> 00:11:33,520 Speaker 1: special deal for listeners to this show. Go to Roughgreens 217 00:11:33,559 --> 00:11:38,240 Speaker 1: dot com slash buck that's ruf Roughgreens dot com slash buck. 218 00:11:38,320 --> 00:11:40,480 Speaker 1: They're gonna give you the first bag free. All you 219 00:11:40,520 --> 00:11:44,439 Speaker 1: pay is shipping Roughgreens dot com slash buck. That's ruf 220 00:11:44,920 --> 00:11:52,600 Speaker 1: Roughgreens dot com slash buck. Welcome back in Klay Travis 221 00:11:52,600 --> 00:11:55,320 Speaker 1: Buck Sexton Show. We appreciate all of you hanging out 222 00:11:55,360 --> 00:11:58,320 Speaker 1: with us, helping us to fight battles in favor of 223 00:11:58,400 --> 00:12:01,839 Speaker 1: truth to justice in the America Way, not a better tomorrow, 224 00:12:02,040 --> 00:12:04,840 Speaker 1: not going with that new Superman slogan side, can you 225 00:12:04,880 --> 00:12:07,719 Speaker 1: believe that? And they took away the truth justice in 226 00:12:07,760 --> 00:12:09,679 Speaker 1: the American way. That for those of you who don't know, 227 00:12:10,120 --> 00:12:13,800 Speaker 1: they took American Way out of the Superman slogan, which 228 00:12:13,840 --> 00:12:15,320 Speaker 1: sounds like a small thing, and it is in the 229 00:12:15,360 --> 00:12:19,240 Speaker 1: grand scheme of the larger universe, but it's just reflective 230 00:12:19,280 --> 00:12:22,520 Speaker 1: of how many people in entertainment hate the American Way 231 00:12:22,600 --> 00:12:24,960 Speaker 1: right now. They have been sold on the idea that 232 00:12:25,000 --> 00:12:28,120 Speaker 1: America is an awful place, that it's a fundamentally racist 233 00:12:28,320 --> 00:12:33,160 Speaker 1: and and and anti human rights universe. And you know, 234 00:12:33,240 --> 00:12:35,600 Speaker 1: I want to give credit here too. And and by 235 00:12:35,600 --> 00:12:38,040 Speaker 1: the way, I've invited this this guy on our show. 236 00:12:38,120 --> 00:12:43,240 Speaker 1: I sent him a DM Enis Canter, who is a 237 00:12:43,320 --> 00:12:48,520 Speaker 1: is an NBA player but is from Turkey and he 238 00:12:48,559 --> 00:12:53,240 Speaker 1: knows firsthand the impacts of what can happen when you 239 00:12:53,280 --> 00:12:56,360 Speaker 1: speak out and say what you truly believe. He's not 240 00:12:56,400 --> 00:12:58,640 Speaker 1: allowed to return to the country. Buck. There is a 241 00:12:58,760 --> 00:13:02,120 Speaker 1: warrant for his arrest. Sometimes he's not even able to 242 00:13:02,160 --> 00:13:05,800 Speaker 1: travel outside of the United States. His family has been 243 00:13:06,040 --> 00:13:11,120 Speaker 1: imprisoned over fighting for basic human rights in Turkey and 244 00:13:11,360 --> 00:13:14,600 Speaker 1: ending up in the crosshairs of that government. The air 245 00:13:14,679 --> 00:13:20,120 Speaker 1: Doan regime in Turkey has I think, per capita jailed 246 00:13:20,600 --> 00:13:22,720 Speaker 1: more journalist than any country in the world, with a 247 00:13:22,760 --> 00:13:24,680 Speaker 1: possible exception of China, but we don't really know what 248 00:13:24,679 --> 00:13:29,640 Speaker 1: the China numbers are, but Turkey is the regime is 249 00:13:29,640 --> 00:13:33,720 Speaker 1: a straight up enemy of free speech and journalism as 250 00:13:33,760 --> 00:13:36,920 Speaker 1: a general issue of general concept. So you guys know 251 00:13:37,040 --> 00:13:41,080 Speaker 1: and probably remember last year. I believe it was before 252 00:13:41,120 --> 00:13:42,880 Speaker 1: all the COVID madness. It might have been a year 253 00:13:42,880 --> 00:13:45,640 Speaker 1: and a half ago. I guess when Darryl Moray spoke 254 00:13:45,679 --> 00:13:48,800 Speaker 1: out and said free Hong Kong. It's all he did. 255 00:13:48,920 --> 00:13:51,200 Speaker 1: He was at the time, the Houston Rockets general manager. 256 00:13:51,520 --> 00:13:56,080 Speaker 1: Turned into a massive conflagration all over China, all over 257 00:13:56,080 --> 00:13:59,320 Speaker 1: the United States. Really, the NBA games were banned for 258 00:13:59,440 --> 00:14:02,920 Speaker 1: over a year year. You couldn't watch them. China demanded 259 00:14:03,000 --> 00:14:07,600 Speaker 1: that more apologize. The NBA players did not speak out. 260 00:14:07,640 --> 00:14:10,400 Speaker 1: They said many things that were favorable to the communist 261 00:14:10,480 --> 00:14:14,240 Speaker 1: Chinese government, and for the most part, despite being an 262 00:14:14,240 --> 00:14:19,720 Speaker 1: incredibly political league, no real players had said anything about 263 00:14:19,760 --> 00:14:23,480 Speaker 1: the lack of basic human rights in China until yesterday 264 00:14:23,960 --> 00:14:27,760 Speaker 1: when Enis Cantor, who plays for the Boston Celtics, came 265 00:14:27,800 --> 00:14:32,520 Speaker 1: out and went hard in the paint against China, calling 266 00:14:32,720 --> 00:14:36,640 Speaker 1: Chairman Z an evil dictator, coming out in favor of 267 00:14:36,760 --> 00:14:40,880 Speaker 1: freedom for people in Tibet and Hong Kong. Brave of 268 00:14:41,040 --> 00:14:44,479 Speaker 1: Enis Cantor again, who I have invited on this program, 269 00:14:44,960 --> 00:14:48,320 Speaker 1: but we are, I believe, on the precipice right now 270 00:14:48,720 --> 00:14:54,480 Speaker 1: of a major geopolitical cultural war that could become an 271 00:14:54,520 --> 00:15:00,320 Speaker 1: incredible flashpoint surrounding an NBA player calling out China. China 272 00:15:00,400 --> 00:15:05,960 Speaker 1: has already responded by banning Boston Celtics games in their country. 273 00:15:06,440 --> 00:15:11,160 Speaker 1: And again, what Enis Canter said was that Z is 274 00:15:11,200 --> 00:15:14,400 Speaker 1: a brutal dictator and he called for the freedom of 275 00:15:14,440 --> 00:15:18,040 Speaker 1: the Tibet and Hong Kong people from being put underneath 276 00:15:18,040 --> 00:15:21,600 Speaker 1: the thumb of Chairman Z and the communist dictatorship that 277 00:15:21,720 --> 00:15:25,680 Speaker 1: is there. I am curious whether the NBA media will 278 00:15:25,760 --> 00:15:29,200 Speaker 1: do their job and follow up by asking other players 279 00:15:29,240 --> 00:15:33,640 Speaker 1: and other team executives their opinion on this, but one 280 00:15:33,680 --> 00:15:37,520 Speaker 1: of the ultimate hypocrisies in American sports has been the 281 00:15:37,680 --> 00:15:41,280 Speaker 1: left wing Blue checkmark Brigade members buck They cheer on 282 00:15:41,840 --> 00:15:46,600 Speaker 1: any denigration of America or American values or American institutions 283 00:15:46,680 --> 00:15:50,960 Speaker 1: by athletes, and they don't apply the same standards to 284 00:15:51,040 --> 00:15:53,600 Speaker 1: the rest of the countries around the world. In fact, 285 00:15:53,880 --> 00:15:58,120 Speaker 1: they cow taw been the knee to Chinese leadership. And 286 00:15:58,160 --> 00:16:00,440 Speaker 1: so I got to give credit to Enis cant are here, 287 00:16:00,680 --> 00:16:03,160 Speaker 1: and I hope other players are going to follow his 288 00:16:03,280 --> 00:16:05,960 Speaker 1: lead because if they do, it's going to expose And 289 00:16:06,040 --> 00:16:07,960 Speaker 1: by the way, this is not just the NBA, it's Disney, 290 00:16:08,000 --> 00:16:10,040 Speaker 1: it's Apple, it's all these So this is why it's 291 00:16:10,040 --> 00:16:12,720 Speaker 1: different than what you The normal way this plays out 292 00:16:13,080 --> 00:16:15,800 Speaker 1: is with human with women's rights. For example, we'll say 293 00:16:16,120 --> 00:16:19,200 Speaker 1: why is it the American left only gets upset about 294 00:16:19,240 --> 00:16:22,920 Speaker 1: the equal pay gap and doesn't complain more right about Afghanistan, 295 00:16:22,960 --> 00:16:25,320 Speaker 1: they say, Afghanistan is a poor country, doesn't have influence. 296 00:16:25,360 --> 00:16:28,800 Speaker 1: We're never going to affect any change there. NBA players 297 00:16:29,400 --> 00:16:34,000 Speaker 1: are known and have real sway in China, right I 298 00:16:34,200 --> 00:16:38,000 Speaker 1: The NBA is celebrated in China, so an NBA player 299 00:16:38,120 --> 00:16:41,160 Speaker 1: speaking out will be noticed by to the degree that 300 00:16:41,200 --> 00:16:43,240 Speaker 1: they can get around the Great Firewall of China, but 301 00:16:43,280 --> 00:16:47,280 Speaker 1: will be noticed by Chinese nationals. And of course this 302 00:16:47,360 --> 00:16:50,960 Speaker 1: is our near peer competitor. So the implications of freedom 303 00:16:50,960 --> 00:16:53,680 Speaker 1: in China aren't just for that country, but for other 304 00:16:53,720 --> 00:16:56,080 Speaker 1: countries on its periphery and perhaps around the world as 305 00:16:56,080 --> 00:16:59,520 Speaker 1: it becomes more powerful and influential. Here's the cut for 306 00:16:59,720 --> 00:17:01,920 Speaker 1: Nis Cantor. I want you to hear from him himself. Again, 307 00:17:01,960 --> 00:17:04,680 Speaker 1: he's Turkish. This is what he said. My message to 308 00:17:04,800 --> 00:17:10,399 Speaker 1: the Chinese government is free Tibet. Tibet belongs to Tibetans. 309 00:17:11,080 --> 00:17:14,240 Speaker 1: I'm Hugh Dead my voice and speak out about what 310 00:17:14,400 --> 00:17:18,000 Speaker 1: is happening in Tibet's Under the Chinese government's Buddha rule, 311 00:17:18,520 --> 00:17:23,879 Speaker 1: Tibetan people's basic rights and freedoms are not existent. They 312 00:17:23,920 --> 00:17:27,359 Speaker 1: are not allowed to study and learn their language and 313 00:17:27,400 --> 00:17:31,679 Speaker 1: culture freely. They're not allowed to travel freely. They're not 314 00:17:31,760 --> 00:17:36,440 Speaker 1: allowed to excess information freely. The Tibetan people are not 315 00:17:36,520 --> 00:17:41,840 Speaker 1: even allowed to worship freely. That is Enis Cantor speaking 316 00:17:41,840 --> 00:17:45,280 Speaker 1: out directly. 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What really matters in science play and I 335 00:18:45,760 --> 00:18:47,919 Speaker 1: are going to tackle that question right now. Welcome back 336 00:18:47,960 --> 00:18:49,600 Speaker 1: to the Clay, Travis and Buck Sex to the show 337 00:18:50,280 --> 00:18:53,480 Speaker 1: of This story is getting more and more national attention 338 00:18:53,600 --> 00:18:58,080 Speaker 1: largely because of the arguments around it. It's another instance 339 00:18:58,119 --> 00:19:01,960 Speaker 1: of cancel culture and effect. But it's one thing when 340 00:19:02,000 --> 00:19:05,840 Speaker 1: a person holds views that the left doesn't like. When 341 00:19:05,880 --> 00:19:09,160 Speaker 1: it comes to literature, they're going to argue about history. 342 00:19:09,240 --> 00:19:13,160 Speaker 1: But when it comes to science, physics, math, things like 343 00:19:13,240 --> 00:19:17,920 Speaker 1: that biochemistry isn't all that matters being correct? And don't 344 00:19:17,960 --> 00:19:21,080 Speaker 1: we want to elevate those who have the most knowledge, 345 00:19:21,680 --> 00:19:26,080 Speaker 1: have the greatest research, the best breakthroughs. Isn't that what 346 00:19:26,160 --> 00:19:28,879 Speaker 1: science should be all about. Well, if you look at 347 00:19:28,920 --> 00:19:33,120 Speaker 1: what the Marxists want in this country, who control now 348 00:19:33,160 --> 00:19:36,720 Speaker 1: the academy across the country, they actually would say no. 349 00:19:36,840 --> 00:19:40,040 Speaker 1: They think that it matters to have more equity and 350 00:19:40,240 --> 00:19:43,720 Speaker 1: inclusion instead of actually just getting us to a place 351 00:19:43,760 --> 00:19:47,240 Speaker 1: where we have the best and the right answers in science. 352 00:19:47,280 --> 00:19:49,480 Speaker 1: Now we're talking about this is this is the New 353 00:19:49,560 --> 00:19:53,160 Speaker 1: York Times. Dorian Abbott is a scientist who has opposed 354 00:19:53,200 --> 00:19:56,520 Speaker 1: aspects of affirmative action. He is at the center of 355 00:19:56,520 --> 00:19:59,639 Speaker 1: an argument out over free speech and acceptable discourse because 356 00:19:59,680 --> 00:20:02,000 Speaker 1: he was invited to give a prestigious lecture. Let me 357 00:20:02,000 --> 00:20:03,679 Speaker 1: just tell you a little bit of the facts there 358 00:20:03,680 --> 00:20:06,280 Speaker 1: and then Clay and I'll break this down. The Massachusetts 359 00:20:06,280 --> 00:20:10,240 Speaker 1: Institute of Technology invited geophysicist Dorian Abbott to give a 360 00:20:10,240 --> 00:20:13,919 Speaker 1: prestigious lecture this fall. He seemed a natural choice, a 361 00:20:14,000 --> 00:20:17,280 Speaker 1: scientific star who studies climate change, so he's probably a 362 00:20:17,359 --> 00:20:18,880 Speaker 1: left wing guy, by the way, in a lot of ways, 363 00:20:19,200 --> 00:20:22,640 Speaker 1: and whether planets in distant solar systems might harbor atmospheres 364 00:20:22,680 --> 00:20:26,480 Speaker 1: conducive to life. A swell of angry resistance arose. Some 365 00:20:26,520 --> 00:20:30,000 Speaker 1: faculty members and graduating students argued that doctor Abbott, a 366 00:20:30,080 --> 00:20:34,480 Speaker 1: professor at u Chicago University of Chicago, had created harm 367 00:20:35,080 --> 00:20:39,960 Speaker 1: by speaking out against aspects of affirmative action and diversity programs. 368 00:20:41,400 --> 00:20:45,800 Speaker 1: He says that there were issues in the twenty this 369 00:20:45,880 --> 00:20:48,320 Speaker 1: is the quote people as members of a group should 370 00:20:48,359 --> 00:20:51,800 Speaker 1: not be judged rather than as individuals. And he said 371 00:20:51,840 --> 00:20:53,719 Speaker 1: that his plan lectured at MIT would have made no 372 00:20:53,760 --> 00:20:58,400 Speaker 1: mention of his affirmative action views. Nonetheless, Clay, they canceled 373 00:20:58,480 --> 00:21:01,800 Speaker 1: him from this, and this is bringing up some interesting things. 374 00:21:02,080 --> 00:21:03,960 Speaker 1: Have you heard of this before? I had, I'll be honest, 375 00:21:04,000 --> 00:21:05,719 Speaker 1: I had not heard of this until this came up. 376 00:21:06,280 --> 00:21:11,920 Speaker 1: Citational Justice, this is a new thing now. Citational Justice 377 00:21:12,280 --> 00:21:15,879 Speaker 1: argues that professors and graduate students must seek to cite 378 00:21:16,359 --> 00:21:21,480 Speaker 1: more Black, Latino, Asian and Native American scholars and in 379 00:21:21,520 --> 00:21:25,600 Speaker 1: some cases refuse to acknowledge the footnotes and research of 380 00:21:25,640 --> 00:21:30,199 Speaker 1: those who hold distasteful views. So now we're going to 381 00:21:30,359 --> 00:21:36,000 Speaker 1: purge the scientific canon of people who were not LGBTQ 382 00:21:36,720 --> 00:21:41,840 Speaker 1: or pro defirmative action or whatever friendly enough, because this 383 00:21:41,920 --> 00:21:46,720 Speaker 1: is what equity. This is the destruction of science if 384 00:21:46,760 --> 00:21:49,960 Speaker 1: taken to its ultimate end. This is crazy. This is 385 00:21:50,000 --> 00:21:55,880 Speaker 1: a natural outgrowth of It's okay to protest against police 386 00:21:56,359 --> 00:22:01,080 Speaker 1: during shutdowns and lockdowns, but it's not okay to protest 387 00:22:01,119 --> 00:22:03,879 Speaker 1: against lockdowns and shutdowns, which I think for many people 388 00:22:03,880 --> 00:22:06,439 Speaker 1: out there, a lot of people said, hey, you know, 389 00:22:06,480 --> 00:22:09,480 Speaker 1: in March, in April and May, like, I'm willing to 390 00:22:09,520 --> 00:22:13,720 Speaker 1: listen to authorities on some level. As soon as scientists said, hey, 391 00:22:13,760 --> 00:22:15,960 Speaker 1: you can protest the death of George Floyd at the 392 00:22:16,000 --> 00:22:19,320 Speaker 1: hand of police. Massive crowds of hundreds of thousands of 393 00:22:19,359 --> 00:22:22,320 Speaker 1: people can fill our city streets, but you're not allowed 394 00:22:22,359 --> 00:22:25,640 Speaker 1: together for anything else. Science was dead. And to me, buck, 395 00:22:25,720 --> 00:22:28,800 Speaker 1: what this boils down to, This battle over diversity and 396 00:22:28,800 --> 00:22:34,639 Speaker 1: affirmative action boils down to equal opportunity versus equal outcome. 397 00:22:35,119 --> 00:22:38,560 Speaker 1: The United States, I believe, does about as good of 398 00:22:38,600 --> 00:22:42,600 Speaker 1: a job out there at providing equal opportunity. Now, we're 399 00:22:42,640 --> 00:22:45,959 Speaker 1: not all equal, right in terms of our talents, and 400 00:22:46,040 --> 00:22:48,680 Speaker 1: we're not all equal in terms of our opportunity. People 401 00:22:48,680 --> 00:22:53,240 Speaker 1: who are in wealthy households have access to better schools 402 00:22:53,280 --> 00:22:56,120 Speaker 1: than people who are not all those things. But what 403 00:22:56,160 --> 00:22:59,760 Speaker 1: I think is so fascinating is we never demand equal 404 00:23:00,040 --> 00:23:05,040 Speaker 1: outcome in industries that are predominantly minority. Let me give 405 00:23:05,040 --> 00:23:08,880 Speaker 1: you an example. The NBA just started around eighty percent 406 00:23:09,080 --> 00:23:13,640 Speaker 1: ish of all NBA players are black. There's no demand 407 00:23:14,000 --> 00:23:18,879 Speaker 1: that NBA teams reflect the overall racial diversity of the 408 00:23:19,040 --> 00:23:21,879 Speaker 1: United States. Right, There's no demand that sixty percent of 409 00:23:21,880 --> 00:23:25,359 Speaker 1: all NBA players be white, twelve percent be black, twelve 410 00:23:25,400 --> 00:23:29,240 Speaker 1: percent be Hispanic, whatever the current racial dynamics are. Because 411 00:23:29,280 --> 00:23:33,080 Speaker 1: we acknowledge and expect that the best will be employed, 412 00:23:33,200 --> 00:23:36,920 Speaker 1: because the goal is to get the best possible outcome 413 00:23:37,000 --> 00:23:39,080 Speaker 1: for a team. The best players make the most money. 414 00:23:39,119 --> 00:23:42,679 Speaker 1: All of those things. The meritocracy works in those respects. 415 00:23:43,119 --> 00:23:47,280 Speaker 1: Why would the meritocracy not work in science? When everyone's 416 00:23:47,359 --> 00:23:51,800 Speaker 1: ideas are being rigorously challenged every single day? This guy 417 00:23:52,320 --> 00:23:56,000 Speaker 1: has already become an established scholar in his field. Maybe 418 00:23:56,040 --> 00:23:58,240 Speaker 1: I'm a rarity. I don't care what he thinks about 419 00:23:58,280 --> 00:24:01,040 Speaker 1: anything else other than his feel of expertise. This is 420 00:24:01,080 --> 00:24:04,640 Speaker 1: back from October fifth, when Professor Dorrian Abbott was speaking 421 00:24:04,640 --> 00:24:07,439 Speaker 1: out about why am I t canceled him? Yes, I do. 422 00:24:07,640 --> 00:24:10,080 Speaker 1: My wife was born in Ukraine and she had to 423 00:24:10,119 --> 00:24:13,520 Speaker 1: be baptized in secret because if the government found out, 424 00:24:13,960 --> 00:24:16,280 Speaker 1: her mother would have lost her job. And when she 425 00:24:16,359 --> 00:24:18,280 Speaker 1: heard about what was happening on campus when I first 426 00:24:18,320 --> 00:24:20,160 Speaker 1: told her, she says, it sounds like what my mother 427 00:24:20,200 --> 00:24:24,240 Speaker 1: told me about Soviet times, Like Soviet times. This is 428 00:24:24,280 --> 00:24:27,240 Speaker 1: why I throw around the term commis and I meets, 429 00:24:27,680 --> 00:24:30,120 Speaker 1: because this is what we are up against now, particularly 430 00:24:30,119 --> 00:24:31,679 Speaker 1: an academy in this country. And I want to give 431 00:24:31,720 --> 00:24:36,040 Speaker 1: you another example. A professor at Williams College, the arch 432 00:24:36,160 --> 00:24:39,600 Speaker 1: rival of my teeny tiny school in Massachusetts, Amherst College. 433 00:24:39,600 --> 00:24:41,320 Speaker 1: You don't pronounce the h folks, just so you know, 434 00:24:41,600 --> 00:24:44,680 Speaker 1: that's always the giveaway Ammers, not Amhurst. I didn't even 435 00:24:44,720 --> 00:24:49,040 Speaker 1: know that. Yeah, it's fancy, it's fancy. Yes. Professor Phoebe 436 00:24:49,119 --> 00:24:53,400 Speaker 1: Cohen is a geosciences professor at Williams College, like I said, 437 00:24:53,400 --> 00:24:55,320 Speaker 1: the rival. And when she was asked by The New 438 00:24:55,400 --> 00:24:59,000 Speaker 1: York Times about the situation with Abbott because she was 439 00:24:59,040 --> 00:25:01,600 Speaker 1: one of the professors who spoke out against him speaking 440 00:25:01,640 --> 00:25:05,000 Speaker 1: at M I t very publicly. She was asked, this 441 00:25:05,040 --> 00:25:06,239 Speaker 1: is by the New York Times. I want to make 442 00:25:06,240 --> 00:25:09,240 Speaker 1: sure everyoneer's dance. These are quotes I'm reading now, okay, 443 00:25:09,240 --> 00:25:10,560 Speaker 1: from the New York Times. She was asked of the 444 00:25:10,600 --> 00:25:14,199 Speaker 1: effect on academic debate, should the academy serve as a 445 00:25:14,240 --> 00:25:20,240 Speaker 1: bastion of unfettered speech? She replied, and I quote this 446 00:25:20,359 --> 00:25:25,239 Speaker 1: idea of intellectual debate and rigor as the pinnacle of 447 00:25:25,359 --> 00:25:30,800 Speaker 1: intellectualism comes from a world in which white men dominated 448 00:25:31,280 --> 00:25:35,720 Speaker 1: end quote Clay. That is one of the most racist 449 00:25:35,760 --> 00:25:40,280 Speaker 1: things I have seen anyone say. And now she's a minority, 450 00:25:40,400 --> 00:25:43,240 Speaker 1: female professor, so she won't get in any trouble. But 451 00:25:43,520 --> 00:25:45,880 Speaker 1: I read the quote. It's in the New York Times. 452 00:25:46,240 --> 00:25:50,960 Speaker 1: The idea of intellectual rigor and debate as the height 453 00:25:51,160 --> 00:25:57,919 Speaker 1: of intellectual stuff comes from a white dominated, white dominated framework. 454 00:25:58,520 --> 00:26:01,159 Speaker 1: That's I mean. Then, by the way, this is an 455 00:26:01,200 --> 00:26:03,840 Speaker 1: idea that's widespread now in the academy. They'll say this, 456 00:26:03,960 --> 00:26:06,320 Speaker 1: and if you point out how crazy and racist it is, 457 00:26:06,840 --> 00:26:10,160 Speaker 1: you're the bad person. So oh, of course and representative 458 00:26:10,200 --> 00:26:15,360 Speaker 1: and understand that this represents the antithesis of all scientific knowledge, 459 00:26:15,800 --> 00:26:22,320 Speaker 1: because science is about rigorously questioning dogma until you arrive 460 00:26:22,440 --> 00:26:26,320 Speaker 1: at the hard, cold kernel of truth. And so this 461 00:26:26,400 --> 00:26:31,919 Speaker 1: idea that you can have ideas that are not acceptable 462 00:26:32,080 --> 00:26:37,439 Speaker 1: in the world of science. It just I think COVID 463 00:26:37,520 --> 00:26:41,040 Speaker 1: has broken science in this country. COVID has broken a lot. 464 00:26:41,440 --> 00:26:44,800 Speaker 1: Can I can I at a variation. I think COVID 465 00:26:45,080 --> 00:26:48,320 Speaker 1: lockdowns have shown us how the left broke science. I mean, 466 00:26:48,359 --> 00:26:50,760 Speaker 1: maybe the best example of it. But this, this, these 467 00:26:50,760 --> 00:26:53,880 Speaker 1: currents have been building for a long time. It used 468 00:26:53,920 --> 00:26:57,399 Speaker 1: to be that science was able because, as you said, 469 00:26:57,520 --> 00:27:01,840 Speaker 1: there is a factual methodology two science, you arrive at 470 00:27:01,840 --> 00:27:05,800 Speaker 1: a final certain truth, unlike say English, where we can 471 00:27:05,840 --> 00:27:10,240 Speaker 1: debate forever what's the greatest Shakespeare play? Or unlike history 472 00:27:10,400 --> 00:27:13,040 Speaker 1: even where we can debate, Hey, was that the right 473 00:27:13,119 --> 00:27:15,560 Speaker 1: decision in a battle? Was that the wrong decision? The 474 00:27:15,720 --> 00:27:21,440 Speaker 1: goal of science is to distill complex questions to a truth. Right, 475 00:27:21,560 --> 00:27:24,359 Speaker 1: And I use as an easy example. We all agree 476 00:27:24,400 --> 00:27:27,679 Speaker 1: at least I think that water freezes at thirty two degrees. 477 00:27:27,880 --> 00:27:31,720 Speaker 1: We have figured that out through science and where water boils, 478 00:27:31,800 --> 00:27:35,080 Speaker 1: for instance, there is a known truth in science that 479 00:27:35,160 --> 00:27:38,399 Speaker 1: does not exist in many other aspects of education, and 480 00:27:38,440 --> 00:27:40,800 Speaker 1: we've changed that. There's just one thing I want to 481 00:27:40,840 --> 00:27:42,240 Speaker 1: add here. Maybe we can get to a couple of 482 00:27:42,240 --> 00:27:44,159 Speaker 1: calls before we close out too in a few minutes here, 483 00:27:44,160 --> 00:27:45,520 Speaker 1: because I know we haven't been Clay and are so 484 00:27:45,560 --> 00:27:47,879 Speaker 1: fired up today. We always say we have six hours 485 00:27:47,880 --> 00:27:50,119 Speaker 1: of show in three hours of time, which is true 486 00:27:50,119 --> 00:27:51,680 Speaker 1: in our heads. We could go on for six hours. 487 00:27:51,680 --> 00:27:53,640 Speaker 1: But I'll say this, Clay. It used to be there 488 00:27:53,640 --> 00:27:56,760 Speaker 1: were certain situations you could give people when it comes 489 00:27:56,760 --> 00:27:59,280 Speaker 1: to getting the right answer the science. In this case, 490 00:27:59,320 --> 00:28:03,880 Speaker 1: maybe we could say, you know the physics, the aerodynamics, 491 00:28:04,359 --> 00:28:06,800 Speaker 1: Do you want the best people building the plane that 492 00:28:06,920 --> 00:28:09,199 Speaker 1: you're going to fly on with your family or do 493 00:28:09,200 --> 00:28:13,920 Speaker 1: you want a crew that is pushed largely by either 494 00:28:13,960 --> 00:28:17,280 Speaker 1: diversity and inclusion or gender parity or whatever it used 495 00:28:17,280 --> 00:28:18,840 Speaker 1: to be? But all say, okay, look, no one wants 496 00:28:18,840 --> 00:28:20,960 Speaker 1: the plane to crash. So there are some limits here 497 00:28:21,280 --> 00:28:24,439 Speaker 1: to the left wing ideology and how far it can go. Now, 498 00:28:24,480 --> 00:28:28,119 Speaker 1: increasingly you'll come across leftists who say sometimes planes have 499 00:28:28,200 --> 00:28:30,200 Speaker 1: got a crash and everyone everyone, and it's going to 500 00:28:30,240 --> 00:28:32,200 Speaker 1: have to die if it means that diversity and inclusion 501 00:28:32,400 --> 00:28:35,879 Speaker 1: is better represented in our society. They want people to 502 00:28:35,920 --> 00:28:39,360 Speaker 1: have to pay the price for destroying the meritocracy. They 503 00:28:39,400 --> 00:28:41,960 Speaker 1: accept that they will pay that price, which is a 504 00:28:42,040 --> 00:28:44,640 Speaker 1: huge change from even when I was in college and 505 00:28:44,680 --> 00:28:46,840 Speaker 1: what we used to talk about. So we'll get back 506 00:28:46,880 --> 00:28:50,000 Speaker 1: into a good change either And and by the way, 507 00:28:50,040 --> 00:28:53,200 Speaker 1: if we've learned anythings, it's twenty twenty. There's nothing quite 508 00:28:53,240 --> 00:28:56,920 Speaker 1: as important as a powerful immune system. Over twenty years ago, 509 00:28:57,160 --> 00:29:00,760 Speaker 1: doctor Dennis Black of Texas invented Texas Food. It is 510 00:29:00,800 --> 00:29:05,160 Speaker 1: the original superfood. Has fifty five vine ripen fruits and vegetables, 511 00:29:05,200 --> 00:29:08,880 Speaker 1: plus probiotic and digestive enzymes. You can build your body's 512 00:29:08,960 --> 00:29:12,800 Speaker 1: defense from the inside out. And doctor Black wants all 513 00:29:12,840 --> 00:29:15,160 Speaker 1: of us to know that your immune system's job is 514 00:29:15,160 --> 00:29:19,360 Speaker 1: to detect, deflect, and destroy bacteria you come in contact with. 515 00:29:19,720 --> 00:29:22,800 Speaker 1: That's why Texas Superfood boost your immune system better than 516 00:29:22,840 --> 00:29:25,720 Speaker 1: anything on the market. Your grandma told you to eat 517 00:29:25,800 --> 00:29:28,840 Speaker 1: your fruits and veggies, but how many of you out 518 00:29:28,880 --> 00:29:32,080 Speaker 1: there listened? Lots of you didn't. That's why you need 519 00:29:32,120 --> 00:29:35,760 Speaker 1: Texas Superfood. It is the safety net for the American diet. 520 00:29:35,800 --> 00:29:39,160 Speaker 1: For over twenty years, it's helped thousands and thousands of 521 00:29:39,200 --> 00:29:42,000 Speaker 1: people get and maintain their best health. Buck how to 522 00:29:42,080 --> 00:29:44,880 Speaker 1: even more. Sign up today. If you can't, won't, or 523 00:29:44,960 --> 00:29:48,040 Speaker 1: don't eat all your fruits and veggies every day, Texas 524 00:29:48,080 --> 00:29:51,120 Speaker 1: Superfood was made for you. Start boosting your immune system 525 00:29:51,160 --> 00:29:54,600 Speaker 1: for under two dollars a day. Gonna Texas Superfood dot com. 526 00:29:54,640 --> 00:29:58,000 Speaker 1: Slash Buck we'll call eight five five Texas fifty five. 527 00:29:58,080 --> 00:30:02,240 Speaker 1: That's Texas Superfood dot slash Buck. We'll call eight five 528 00:30:02,360 --> 00:30:10,440 Speaker 1: five Texas fifty five. Welcome back. In final segment, Clay 529 00:30:10,440 --> 00:30:13,200 Speaker 1: Travis buck Sexton Show. Appreciate all of you hanging out 530 00:30:13,240 --> 00:30:15,680 Speaker 1: with us. Encourage you to go subscribe to the podcast. 531 00:30:15,720 --> 00:30:17,920 Speaker 1: You can give us five stars. We had Senator Marsha 532 00:30:18,000 --> 00:30:20,880 Speaker 1: Blackburn of Tennessee on to start the second hour of 533 00:30:20,920 --> 00:30:25,239 Speaker 1: the program. We have talked on a wide variety of 534 00:30:25,320 --> 00:30:28,360 Speaker 1: subjects today, and I think we've done so in a 535 00:30:28,400 --> 00:30:31,360 Speaker 1: fairly intelligent fashion. That's the goal every single day, to 536 00:30:31,400 --> 00:30:34,719 Speaker 1: fight battles for sanity in an insane world. You can 537 00:30:34,720 --> 00:30:36,800 Speaker 1: search out my name, Clay Travis. You can search out 538 00:30:36,800 --> 00:30:41,640 Speaker 1: Buck Sexton all across the social media universes and certainly 539 00:30:41,800 --> 00:30:46,520 Speaker 1: on iTunes, Spotify, Stitcher, Google Play, wherever you want to go. Plus, 540 00:30:47,000 --> 00:30:49,600 Speaker 1: you should be checking out Clay and Buck dot com 541 00:30:49,720 --> 00:30:52,720 Speaker 1: our website. We post a lot of the full videos 542 00:30:52,800 --> 00:30:56,720 Speaker 1: of things that we discussed there, and I believe Buck 543 00:30:56,800 --> 00:30:59,720 Speaker 1: there is a big red play button at the top 544 00:30:59,760 --> 00:31:03,280 Speaker 1: of a website. So if you are not able to hear, 545 00:31:03,360 --> 00:31:05,920 Speaker 1: let's say you're traveling, let's say you're not in your 546 00:31:06,000 --> 00:31:09,040 Speaker 1: normal radio audience. If you just want to stream the 547 00:31:09,160 --> 00:31:12,760 Speaker 1: audio for this show live, you can do it at 548 00:31:12,840 --> 00:31:17,560 Speaker 1: Clay and Buck dot com. Now. October fabulous month for 549 00:31:17,600 --> 00:31:20,480 Speaker 1: many different reasons, including the fact that Halloween is now 550 00:31:20,600 --> 00:31:24,080 Speaker 1: just what ten days away from? Now? Does missus costumes 551 00:31:24,120 --> 00:31:26,120 Speaker 1: for the Little Cats? Do we get clarity? Well, I've 552 00:31:26,160 --> 00:31:28,520 Speaker 1: not gotten clarity on you know what happened? Buck. The 553 00:31:28,640 --> 00:31:33,120 Speaker 1: cats were placed in a restricted timeout zone after being 554 00:31:33,200 --> 00:31:36,040 Speaker 1: particularly destructive in the house. They're like the Siamese on 555 00:31:36,360 --> 00:31:38,000 Speaker 1: Lady in the Tramp back in the day. They just 556 00:31:38,000 --> 00:31:41,120 Speaker 1: destroy everything they touch. So they've been, they've been, They've 557 00:31:41,160 --> 00:31:45,200 Speaker 1: been placed into isolation. Some might refer to them as 558 00:31:45,280 --> 00:31:49,200 Speaker 1: insurrectionist attempting to overthrow the Travis family household. They have 559 00:31:49,280 --> 00:31:52,480 Speaker 1: been restricted to one room right now, so they aren't 560 00:31:52,520 --> 00:31:55,840 Speaker 1: at the peak of their political viability right now. Even 561 00:31:55,880 --> 00:31:57,560 Speaker 1: my wife is not happy with them, but I will 562 00:31:57,600 --> 00:31:59,720 Speaker 1: find an answer out On the Halloween costumes, I will 563 00:31:59,760 --> 00:32:03,400 Speaker 1: tell you this, the amount of Halloween decorations that we 564 00:32:03,520 --> 00:32:07,200 Speaker 1: have throughout the house is staggering. Like dub comes out 565 00:32:07,240 --> 00:32:09,840 Speaker 1: here to record. We have the YouTube videos. They go 566 00:32:09,920 --> 00:32:12,560 Speaker 1: up now, and I mean you walk around the corner 567 00:32:12,600 --> 00:32:14,360 Speaker 1: in the house and you never know when you're gonna 568 00:32:14,360 --> 00:32:19,960 Speaker 1: have like a ghostly statue or mannequin or whatever trying 569 00:32:20,000 --> 00:32:22,520 Speaker 1: to scare the Bejesus out of people. So it's everywhere 570 00:32:23,760 --> 00:32:26,560 Speaker 1: speaking and scare the Bejesus. We know Joe Biden supposedly 571 00:32:26,600 --> 00:32:30,040 Speaker 1: got eighty one million votes in this country. It's amazing 572 00:32:30,120 --> 00:32:33,720 Speaker 1: how as soon as there's a live audience of sports 573 00:32:33,720 --> 00:32:38,880 Speaker 1: fans virtually anywhere, even in cities buck like Boston, which 574 00:32:38,920 --> 00:32:46,960 Speaker 1: ostensibly our major fertile, incredibly supportive Biden markets, as soon 575 00:32:47,000 --> 00:32:50,160 Speaker 1: as they turn on the television screen Boston Red Sox 576 00:32:50,240 --> 00:32:52,400 Speaker 1: playing against the Houston Astros. Some of you may have 577 00:32:52,440 --> 00:32:55,480 Speaker 1: seen this last night. This is right outside Fenway Park 578 00:32:55,520 --> 00:33:00,080 Speaker 1: in Boston. Listen to what the crowd had to say. 579 00:33:02,200 --> 00:33:06,200 Speaker 1: I believe we have the I could chant it. That's 580 00:33:06,280 --> 00:33:09,080 Speaker 1: not even let's go Brandon, it's the other version. Yeah, 581 00:33:09,920 --> 00:33:11,720 Speaker 1: you can't let his hair down a little bit. He 582 00:33:11,840 --> 00:33:15,040 Speaker 1: can be the most unbelievable split fingers for strikeouts for 583 00:33:15,080 --> 00:33:18,320 Speaker 1: it in two when last Das by the way missed 584 00:33:18,320 --> 00:33:21,320 Speaker 1: two one calls tonight. I mean, but you can't even 585 00:33:21,360 --> 00:33:25,640 Speaker 1: put on live television audiences now because the f JB 586 00:33:25,920 --> 00:33:30,000 Speaker 1: and you could hear that being being blocked out. Chants 587 00:33:30,160 --> 00:33:33,680 Speaker 1: are so overwhelming that that's the first thing that crowds 588 00:33:33,680 --> 00:33:37,280 Speaker 1: of fans want to do. I think this is indicative 589 00:33:37,720 --> 00:33:40,760 Speaker 1: of an overall mood in the country right now that 590 00:33:40,920 --> 00:33:44,640 Speaker 1: even if you are a Democrat who voted for Joe Biden, 591 00:33:44,960 --> 00:33:50,640 Speaker 1: you are very frustrated because he has he dramatically overpromised 592 00:33:50,640 --> 00:33:53,080 Speaker 1: to the point where it feels really dishonest. Right He's 593 00:33:53,120 --> 00:33:56,360 Speaker 1: the used car salesman who says this thing is, you know, 594 00:33:56,400 --> 00:33:58,680 Speaker 1: the the ac works great, and it goes one hundred 595 00:33:58,680 --> 00:34:00,280 Speaker 1: and thirty miles an hour in the highway, and you 596 00:34:00,280 --> 00:34:03,000 Speaker 1: get into the car and it sputters, and it can't 597 00:34:03,000 --> 00:34:05,200 Speaker 1: seem to get past fifty five without sounding like the 598 00:34:05,200 --> 00:34:10,279 Speaker 1: thing is gonna, you know, explode. Joe Biden oversold, under delivered, 599 00:34:10,680 --> 00:34:13,520 Speaker 1: even for Democrats. I hear from leftist by the way, 600 00:34:13,520 --> 00:34:15,719 Speaker 1: who are furious at him because they, you know, they're 601 00:34:15,719 --> 00:34:18,239 Speaker 1: always for you know, the commies. The real communism has 602 00:34:18,239 --> 00:34:20,680 Speaker 1: never been tried anywhere, including here in America, so that's 603 00:34:20,719 --> 00:34:24,640 Speaker 1: always their thing. There is no left wing in America, sure, right, whatever, 604 00:34:24,920 --> 00:34:28,040 Speaker 1: But the point is, no one thinks this is There's 605 00:34:28,160 --> 00:34:31,920 Speaker 1: nobody who does not work for Joe Biden and or 606 00:34:32,160 --> 00:34:35,399 Speaker 1: is not obsessed with the anything but Trump mantra as 607 00:34:35,440 --> 00:34:37,480 Speaker 1: the only thing they care about. Who thinks Joe Biden's 608 00:34:37,520 --> 00:34:41,640 Speaker 1: doing a good job, including sports fans apparently across America. Well, 609 00:34:41,680 --> 00:34:45,200 Speaker 1: and also remember the early fear was, oh, Joe Biden, 610 00:34:45,200 --> 00:34:48,560 Speaker 1: they're going to remove and replace him with Kamala. Kamala 611 00:34:48,640 --> 00:34:52,239 Speaker 1: has been worse, did you see. I mean, this is amazing. 612 00:34:52,520 --> 00:34:54,600 Speaker 1: So she just had I think it's her fifty seventh 613 00:34:54,600 --> 00:34:58,680 Speaker 1: birthday party, and so they were having a surprise birthday party. 614 00:34:59,040 --> 00:35:02,040 Speaker 1: Surprises in quotation marks right to the extent that you 615 00:35:02,080 --> 00:35:05,880 Speaker 1: can surprise anyone in the federal government. Who has security 616 00:35:05,920 --> 00:35:09,239 Speaker 1: detail and everything else. It's probably unlikely you really get 617 00:35:09,360 --> 00:35:13,719 Speaker 1: really surprised. But so they have this ostentatious room all 618 00:35:13,760 --> 00:35:16,879 Speaker 1: set up for Kamala Harris so they can surprise her 619 00:35:16,920 --> 00:35:20,520 Speaker 1: for her fifty seventh birthday. She walks in and the 620 00:35:20,600 --> 00:35:24,520 Speaker 1: first thing she says to everybody is surprised, Like the 621 00:35:24,640 --> 00:35:27,960 Speaker 1: exact she said, surprise to all of the people that 622 00:35:28,000 --> 00:35:30,839 Speaker 1: we're supposed to be surprising her, Kamala Harris. I mean, 623 00:35:30,840 --> 00:35:34,759 Speaker 1: if anyone's gonna spoil their own surprise birthday party, you 624 00:35:34,800 --> 00:35:38,200 Speaker 1: would think it would be Kamala Harris. Who it's just 625 00:35:38,239 --> 00:35:41,200 Speaker 1: the whole thing. It's all so staged and so phony, 626 00:35:41,280 --> 00:35:45,239 Speaker 1: and her constituousy fake is the editorial board of the 627 00:35:45,239 --> 00:35:50,080 Speaker 1: New York Times and CNN executives that's who's really pro Kamala. 628 00:35:50,120 --> 00:35:53,840 Speaker 1: Everybody else, including Democrats, are like not so much well, 629 00:35:53,840 --> 00:35:57,120 Speaker 1: And it's so weird because it's like she does the 630 00:35:57,160 --> 00:36:00,640 Speaker 1: opposite of what a human would do almost every time, right, 631 00:36:00,719 --> 00:36:03,640 Speaker 1: which is an evidence that your stage managed mate almost 632 00:36:03,640 --> 00:36:08,200 Speaker 1: like she lacks authenticity and connection with voters. And the 633 00:36:08,400 --> 00:36:11,839 Speaker 1: Democrats if they were hoping that Joe Biden was gonna 634 00:36:11,880 --> 00:36:14,600 Speaker 1: be the stepping stone for a Kamala presidency. I'll tell 635 00:36:14,640 --> 00:36:17,000 Speaker 1: you this much. If we've placed bets on a Kamala 636 00:36:17,239 --> 00:36:21,359 Speaker 1: versus Trump, oh my goodness. I don't think that's gonna 637 00:36:21,400 --> 00:36:23,640 Speaker 1: go well for the DEMA be down for the ages 638 00:36:23,719 --> 00:36:26,520 Speaker 1: would be coming if it were Kamala against Trump, or frankly, 639 00:36:26,520 --> 00:36:29,799 Speaker 1: I think Kamala against anybody the social media platform. By 640 00:36:29,800 --> 00:36:31,760 Speaker 1: the way, maybe we'll talk about it tomorrow. That sounds 641 00:36:31,760 --> 00:36:39,000 Speaker 1: like a good idea book. I like it. You're listening 642 00:36:39,040 --> 00:36:43,240 Speaker 1: to Clay Travis and Buck Sexton fund the EID Network.