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 --> 00:00:07,640 Speaker 1: Sexton Show podcast. Our two of Clay and Buck starts 3 00:00:07,960 --> 00:00:11,239 Speaker 1: right now. Welcome back everybody, or thanks for joining if 4 00:00:11,240 --> 00:00:17,840 Speaker 1: you're just tuning in. The purchase of Twitter appears imminent. 5 00:00:18,040 --> 00:00:21,640 Speaker 1: Elon must photos or circulating from him at Twitter headquarters. 6 00:00:22,320 --> 00:00:27,320 Speaker 1: The lib tears will likely be flowing inside and outside 7 00:00:27,360 --> 00:00:30,560 Speaker 1: that building. But this is one of these moments where 8 00:00:30,560 --> 00:00:34,000 Speaker 1: there's more to talk about there, just because of what 9 00:00:34,040 --> 00:00:40,920 Speaker 1: the implications are for political discourse and Trump getting back 10 00:00:40,920 --> 00:00:43,720 Speaker 1: on Twitter, for example, what that would mean, because that 11 00:00:43,840 --> 00:00:46,600 Speaker 1: is likely to happen. I don't know how imminent it is, 12 00:00:46,640 --> 00:00:48,320 Speaker 1: but I think it is likely to happen very soon. 13 00:00:49,000 --> 00:00:53,720 Speaker 1: But Clay, we always say this. We're nice guys. We 14 00:00:53,800 --> 00:00:56,280 Speaker 1: just call it like it is, right. We don't we 15 00:00:56,360 --> 00:00:59,960 Speaker 1: don't like to be mean to anybody. But if somebody's 16 00:01:00,000 --> 00:01:03,040 Speaker 1: in a position of substantial power and they are unrepentantly 17 00:01:03,160 --> 00:01:06,480 Speaker 1: and aggressively stupid, we've just got to say it. I mean, 18 00:01:06,520 --> 00:01:08,840 Speaker 1: you just gotta understand that the person who is forcing 19 00:01:08,840 --> 00:01:12,920 Speaker 1: you to do the following things is not a bright individual. 20 00:01:13,040 --> 00:01:17,959 Speaker 1: That's a necessary point of understanding. And so Kathy Hokel 21 00:01:18,160 --> 00:01:22,280 Speaker 1: is really dumb. Apparently the governor of New York. Apparently 22 00:01:23,200 --> 00:01:26,280 Speaker 1: so are her staffers. Now a lot of you I 23 00:01:26,280 --> 00:01:29,240 Speaker 1: know aren't on Twitter. You need to just um bear 24 00:01:29,280 --> 00:01:30,960 Speaker 1: with me for a second while I pull this up. 25 00:01:31,440 --> 00:01:37,800 Speaker 1: There was earlier today a tweet from the official the 26 00:01:37,920 --> 00:01:42,400 Speaker 1: official New York Post account. I think there were a couple, 27 00:01:42,440 --> 00:01:46,560 Speaker 1: but there was one in particular. There were four legitimately fake, 28 00:01:46,680 --> 00:01:51,760 Speaker 1: like you see there like like, we can't. I can't really, 29 00:01:51,800 --> 00:01:54,280 Speaker 1: I'm not going to read them on the air because 30 00:01:54,320 --> 00:01:58,080 Speaker 1: they're they're highly highly inappropriate, but they are so clearly 31 00:01:59,200 --> 00:02:03,160 Speaker 1: the result of a hack, as in, someone got access 32 00:02:03,200 --> 00:02:07,320 Speaker 1: to the New York Post Twitter account. I'm not even 33 00:02:07,600 --> 00:02:09,359 Speaker 1: is there one that we can read? Really, I don't 34 00:02:09,360 --> 00:02:10,640 Speaker 1: think we can read any of them, right, I mean 35 00:02:10,639 --> 00:02:13,400 Speaker 1: they're pretty they're all pretty much across there. But the 36 00:02:13,440 --> 00:02:18,760 Speaker 1: point is it's like so far beyond what is acceptable. Yes, 37 00:02:18,960 --> 00:02:23,000 Speaker 1: you would see it and say, oh, they got hacked, right, 38 00:02:23,040 --> 00:02:27,200 Speaker 1: like if you were reading minor Bucks account, you would 39 00:02:27,200 --> 00:02:30,400 Speaker 1: have a sense based on what we would say, like 40 00:02:30,520 --> 00:02:33,720 Speaker 1: here's one that we can read. New York Post tweeted, 41 00:02:34,080 --> 00:02:39,480 Speaker 1: we must assassinate AOC for America Okay, I didn't even 42 00:02:39,480 --> 00:02:42,840 Speaker 1: see that one, right, Yes, so that's no one thinks 43 00:02:43,520 --> 00:02:47,400 Speaker 1: that the New York Post staff or an employee is 44 00:02:47,440 --> 00:02:51,639 Speaker 1: actually sharing that, right everyone, everyone more too. I've got 45 00:02:51,639 --> 00:02:53,600 Speaker 1: another one that we can go. This was all happening 46 00:02:53,600 --> 00:02:57,640 Speaker 1: around the same time, Governor Abbott, I will order border 47 00:02:57,680 --> 00:03:02,079 Speaker 1: patrol to start slaughtering illegals. All right, like these are there, 48 00:03:02,160 --> 00:03:07,440 Speaker 1: we go, so outside the bounds, assassinate AOC, slaughter illegal people. 49 00:03:07,560 --> 00:03:11,680 Speaker 1: Like there are multiple targets, but there's a series of 50 00:03:11,720 --> 00:03:15,040 Speaker 1: absurdities that clearly are not being sent by the New 51 00:03:15,080 --> 00:03:17,760 Speaker 1: York Post. If you were to see from my Twitter account, 52 00:03:18,200 --> 00:03:21,560 Speaker 1: it is time for us to nuke Moscow because of 53 00:03:21,680 --> 00:03:27,640 Speaker 1: Putin's insufficient deference to the Prince Harry memoir that's coming 54 00:03:27,680 --> 00:03:32,320 Speaker 1: out called Spare. That's clearly not from me, Like, that's 55 00:03:32,360 --> 00:03:35,640 Speaker 1: someone who is trolling me, pretending to me. I bring 56 00:03:35,680 --> 00:03:44,200 Speaker 1: this up because Hocal's press secretary two hours ago wrote this. Okay, 57 00:03:44,200 --> 00:03:46,480 Speaker 1: this is the press secretary for the current government New York. 58 00:03:46,560 --> 00:03:49,520 Speaker 1: The New York Post has long fostered an ugly, toxic 59 00:03:49,600 --> 00:03:52,800 Speaker 1: conversation on their front pages, but these posts are more 60 00:03:52,880 --> 00:03:56,360 Speaker 1: disgusting and vile than usual, the New York Post needs 61 00:03:56,360 --> 00:04:01,600 Speaker 1: to immediately explain how this reprehensible content with it's still up. No, 62 00:04:01,720 --> 00:04:05,000 Speaker 1: of course, they've deleted them, of course. But everyone else 63 00:04:05,040 --> 00:04:07,120 Speaker 1: sees this and goes, oh god, the New York Post 64 00:04:07,200 --> 00:04:11,320 Speaker 1: got hacked and Hocal's press secretary jumps cinema. This is 65 00:04:11,320 --> 00:04:16,159 Speaker 1: even worse than the usual New York Post there, So yeah, 66 00:04:16,200 --> 00:04:19,160 Speaker 1: that's right at Clay. So, first of all, I need 67 00:04:19,200 --> 00:04:21,560 Speaker 1: everyone nursed in. Just because people are powerful or rich 68 00:04:21,680 --> 00:04:23,560 Speaker 1: or famous, and this audience knows this, it does not 69 00:04:23,680 --> 00:04:25,800 Speaker 1: mean in the least that they are smart, or they 70 00:04:25,880 --> 00:04:28,320 Speaker 1: have wisdom, or they are virtuous. None of those things apply. 71 00:04:28,600 --> 00:04:33,360 Speaker 1: They are very rich, very powerful people who are incredibly stupid, 72 00:04:33,760 --> 00:04:37,119 Speaker 1: and they're overwhelming the Democrats. Okay, now that all said, 73 00:04:39,279 --> 00:04:42,800 Speaker 1: the Twitter buyout possibly I'm sorry the Twitter purchase hold on. 74 00:04:43,839 --> 00:04:46,560 Speaker 1: So I would say an indictment of Kathy Hokel because 75 00:04:46,640 --> 00:04:49,840 Speaker 1: Kathy Hokel is dumb, and she may have surrounded herself 76 00:04:49,880 --> 00:04:52,599 Speaker 1: with staff that is actually dumber than her, so that 77 00:04:52,760 --> 00:04:56,240 Speaker 1: is an accomplishment, also an indictment of why she should 78 00:04:56,279 --> 00:05:00,640 Speaker 1: be losing. And look, everybody sometimes makes mistakes, but when 79 00:05:00,720 --> 00:05:04,000 Speaker 1: your brand is I'm dumb, and you then double down 80 00:05:04,000 --> 00:05:06,159 Speaker 1: on the dumb with the staff that you hire. It's 81 00:05:06,200 --> 00:05:09,880 Speaker 1: further evidence of all you need to be gone now Twitter. Yes, oh, 82 00:05:10,560 --> 00:05:13,799 Speaker 1: this is also from the press secretary for HOCl. While 83 00:05:13,800 --> 00:05:15,960 Speaker 1: the Post has made its preferences clear in the New 84 00:05:16,000 --> 00:05:18,960 Speaker 1: York governor's race, there is no room for this violent 85 00:05:19,120 --> 00:05:22,760 Speaker 1: sexist rhetoric in our politics. We demand answers. I'm sure 86 00:05:22,800 --> 00:05:25,839 Speaker 1: they do demand answers from the person who hacked the 87 00:05:25,880 --> 00:05:29,080 Speaker 1: Post Twitter account, which everybody else figured out right away. 88 00:05:29,400 --> 00:05:32,160 Speaker 1: How about the fact that Kathy Hogel's press secretary is 89 00:05:32,240 --> 00:05:36,360 Speaker 1: angrier about fake hacked Twitter from New York Post than 90 00:05:36,480 --> 00:05:40,240 Speaker 1: actual crimes being committed by people in New York Like 91 00:05:40,360 --> 00:05:44,680 Speaker 1: that indignation is stronger than any of the indignation when 92 00:05:44,680 --> 00:05:49,279 Speaker 1: people get pushed in front of subways. Liked just released 93 00:05:49,279 --> 00:05:55,280 Speaker 1: this that there have been twenty five people shoved in 94 00:05:55,320 --> 00:05:59,919 Speaker 1: front of oncoming subway cars this year on New York City. 95 00:06:00,520 --> 00:06:03,920 Speaker 1: Twenty five people have been shoved in front of subways. 96 00:06:03,960 --> 00:06:05,719 Speaker 1: Now you can tell me, oh, it's a city of 97 00:06:05,720 --> 00:06:10,520 Speaker 1: eight plus million people. This is a horrifying thing that 98 00:06:10,839 --> 00:06:14,200 Speaker 1: is in the minds of every person, the millions of 99 00:06:14,240 --> 00:06:16,479 Speaker 1: people who take the subway in New York every day. 100 00:06:16,800 --> 00:06:19,360 Speaker 1: When that train comes, especially if it's an express, it 101 00:06:19,440 --> 00:06:22,360 Speaker 1: comes ripping into the station. And if a lot of 102 00:06:22,360 --> 00:06:24,880 Speaker 1: you are familiar to New York City subway, sometimes those 103 00:06:24,880 --> 00:06:27,000 Speaker 1: things come flying in there. I mean it's you know, 104 00:06:27,000 --> 00:06:30,200 Speaker 1: they had sent this huge gust of wind beforehand. And 105 00:06:30,240 --> 00:06:32,720 Speaker 1: we're also, if you're on a super crowded subway platform, 106 00:06:33,240 --> 00:06:36,640 Speaker 1: you are putting faith in your fellow New Yorkers and 107 00:06:36,640 --> 00:06:39,040 Speaker 1: your fellow human beings that they're not going to shove 108 00:06:39,040 --> 00:06:41,320 Speaker 1: you because you are absolutely I don't care if you 109 00:06:41,360 --> 00:06:44,640 Speaker 1: are a ninth degree black belt Navy Seal Delta Force 110 00:06:45,040 --> 00:06:48,479 Speaker 1: top gun pilot with you know, an eight hundred pound deadlift, 111 00:06:48,760 --> 00:06:51,640 Speaker 1: you are at the mercy of the people around you 112 00:06:51,680 --> 00:06:54,599 Speaker 1: on that platform. Twenty five people in the city have 113 00:06:54,680 --> 00:06:56,440 Speaker 1: been shoved in front of trains this year. Two of 114 00:06:56,480 --> 00:07:00,160 Speaker 1: them have died from this. The others either injured, were 115 00:07:00,240 --> 00:07:04,440 Speaker 1: narrowly avoided getting crushed to death. All but all pushed 116 00:07:04,440 --> 00:07:07,320 Speaker 1: by lunatics with a law you know, with a longstanding 117 00:07:07,720 --> 00:07:11,560 Speaker 1: criminal record or mental health record in and out of facility. 118 00:07:11,640 --> 00:07:13,840 Speaker 1: This is and HOCl saying, well, I'm gonna put up 119 00:07:13,840 --> 00:07:16,520 Speaker 1: gun free zone signs in Times Square that'll keep you safe. 120 00:07:17,000 --> 00:07:21,200 Speaker 1: People are idiots. They're idiots. That's almost one every week, right, 121 00:07:21,240 --> 00:07:24,600 Speaker 1: I mean we're one every we're fifty two weeks in 122 00:07:24,640 --> 00:07:26,400 Speaker 1: a year. If we're at twenty five and we're sitting 123 00:07:26,520 --> 00:07:29,600 Speaker 1: right now in late October, I mean it's one every 124 00:07:29,640 --> 00:07:34,080 Speaker 1: other week on average, right. I mean that is kind 125 00:07:34,120 --> 00:07:38,920 Speaker 1: of significant, right, and again is representative of the lawlessness 126 00:07:39,000 --> 00:07:40,800 Speaker 1: that now exists in New York City in much of 127 00:07:40,840 --> 00:07:43,040 Speaker 1: New York State. So now back to the Twitter purchase 128 00:07:43,040 --> 00:07:45,640 Speaker 1: in Elon Musk and what he's what he's going to 129 00:07:45,680 --> 00:07:48,200 Speaker 1: be doing here I'm seeing and this makes me a 130 00:07:48,240 --> 00:07:52,200 Speaker 1: little sad that they're now saying he will not five 131 00:07:52,280 --> 00:07:54,640 Speaker 1: or seventy five percent of the Twitter staff like this, 132 00:07:54,640 --> 00:07:57,280 Speaker 1: This is a shame. Maybe it'll only be twenty percent 133 00:07:57,320 --> 00:07:58,880 Speaker 1: or something. Would still be a lot of layoffs, but 134 00:07:59,720 --> 00:08:02,520 Speaker 1: really gutting Twitter of that because there's only a few 135 00:08:02,600 --> 00:08:05,240 Speaker 1: hundred people at that company, I can assure you who 136 00:08:05,320 --> 00:08:07,840 Speaker 1: are engineers with a real skill set that are really 137 00:08:07,880 --> 00:08:10,560 Speaker 1: necessary for the day to day functioning. What's happened is 138 00:08:10,600 --> 00:08:15,640 Speaker 1: that that has become a company that is completely overrun 139 00:08:15,720 --> 00:08:17,800 Speaker 1: with wokeness, and you have a lot of people who 140 00:08:17,800 --> 00:08:20,240 Speaker 1: are just going in every day and you know, they're 141 00:08:20,280 --> 00:08:24,960 Speaker 1: going and they're having their you know, they're special meals 142 00:08:24,960 --> 00:08:28,160 Speaker 1: prepped for them by the Twitter chefs, and they're going 143 00:08:28,200 --> 00:08:30,679 Speaker 1: around to little meeting pods, and some of them actually 144 00:08:30,720 --> 00:08:32,360 Speaker 1: post videos of this. I mean, you can go see this, 145 00:08:32,720 --> 00:08:36,360 Speaker 1: and they're talking about conversational health on the platform and 146 00:08:36,559 --> 00:08:40,600 Speaker 1: inclusiveness and diversity. And that's the bureaucracy that has been 147 00:08:40,679 --> 00:08:44,160 Speaker 1: larded into this company that has made it one an 148 00:08:44,240 --> 00:08:48,920 Speaker 1: instrument of the left and two not a very profitable enterprise, 149 00:08:49,600 --> 00:08:52,319 Speaker 1: not not operating at the way that it should. So, 150 00:08:52,400 --> 00:08:55,520 Speaker 1: I mean, look, he's not doing this, as he's already said. 151 00:08:55,559 --> 00:08:58,880 Speaker 1: Elon is not buying it at a as a capitalist 152 00:08:58,960 --> 00:09:01,080 Speaker 1: looking to make more money. He's the richest guy already 153 00:09:01,080 --> 00:09:04,000 Speaker 1: in the world. He thinks that it's important for our 154 00:09:04,000 --> 00:09:06,719 Speaker 1: country to have a free and fair platform for the 155 00:09:06,760 --> 00:09:09,120 Speaker 1: exchange of ideas. You know, Clay, I'm not I'm a 156 00:09:09,160 --> 00:09:11,840 Speaker 1: blue check like you. I'm not allowed to stream to 157 00:09:11,960 --> 00:09:14,440 Speaker 1: this day, I'm not allowed to stream video on Twitter. 158 00:09:14,720 --> 00:09:18,400 Speaker 1: It's been I got suspended. I've forgot to even bring 159 00:09:18,440 --> 00:09:21,120 Speaker 1: this up. I've been suspended for months and months because 160 00:09:21,120 --> 00:09:23,240 Speaker 1: of something I did on COVID, they will not let 161 00:09:23,280 --> 00:09:25,880 Speaker 1: me stream. I am not able to stream on my Twitter. 162 00:09:25,960 --> 00:09:27,800 Speaker 1: No one, no one ever explains why. By the way, 163 00:09:27,840 --> 00:09:29,840 Speaker 1: you just say, yeah, you can't do it. This is 164 00:09:29,840 --> 00:09:32,680 Speaker 1: the kind of stuff that they do to people. Trump 165 00:09:32,720 --> 00:09:38,240 Speaker 1: getting back on Twitter, though, Is this one imminent two 166 00:09:38,920 --> 00:09:43,319 Speaker 1: a good thing for Trump? Well, those are two big questions. 167 00:09:43,360 --> 00:09:46,280 Speaker 1: So one before we even analyze whether it's a good thing. 168 00:09:46,480 --> 00:09:51,199 Speaker 1: I bet in his truth Social agreements that he has 169 00:09:51,240 --> 00:09:55,440 Speaker 1: agreed to not join any other social media sites. So 170 00:09:56,000 --> 00:09:57,800 Speaker 1: and now I don't know if he would accede to 171 00:09:58,000 --> 00:10:01,920 Speaker 1: that contractual agreement. But if I am running truth Social, 172 00:10:02,000 --> 00:10:05,080 Speaker 1: and I'm speaking entirely in generalities because certainly I haven't 173 00:10:05,080 --> 00:10:07,439 Speaker 1: seen any of these agreements, I would think one of 174 00:10:07,480 --> 00:10:09,640 Speaker 1: the first things you would want to do if you 175 00:10:09,679 --> 00:10:13,720 Speaker 1: are going to give Trump a substantial stake in that company, 176 00:10:14,400 --> 00:10:19,319 Speaker 1: is say you agree that you are not going to 177 00:10:18,840 --> 00:10:22,240 Speaker 1: use any other social media sites. That would be my guests. 178 00:10:22,280 --> 00:10:24,439 Speaker 1: So he may not do it, even if he's allowed 179 00:10:24,480 --> 00:10:26,720 Speaker 1: to do it, which would be a huge win for Twitter. 180 00:10:28,440 --> 00:10:32,480 Speaker 1: I don't think it helps Trump at this I really don't. 181 00:10:33,360 --> 00:10:36,920 Speaker 1: At this point. He is a known quantity. I can 182 00:10:37,000 --> 00:10:41,359 Speaker 1: understand why it helped him immensely get to the presidency. 183 00:10:41,920 --> 00:10:45,000 Speaker 1: But is there anyone out there who doesn't know what 184 00:10:45,080 --> 00:10:49,040 Speaker 1: Donald Trump thinks now and would not know if he 185 00:10:49,160 --> 00:10:52,240 Speaker 1: is running for president and being able to talk to 186 00:10:52,280 --> 00:10:54,760 Speaker 1: his audience. I just I don't know that he gains 187 00:10:54,960 --> 00:10:57,840 Speaker 1: very much from it. I think the best case scenario 188 00:10:57,920 --> 00:11:00,680 Speaker 1: for Twitter is they offer him an opportunity to come back, 189 00:11:00,720 --> 00:11:03,320 Speaker 1: he declines, and he stays on truth social Let me 190 00:11:03,360 --> 00:11:06,160 Speaker 1: also say buck about firing people. I think that was 191 00:11:06,240 --> 00:11:09,960 Speaker 1: a calculated leak by Elon Musk's people because it's far 192 00:11:10,360 --> 00:11:14,240 Speaker 1: cheaper for people to leave than for you to fire them. 193 00:11:14,440 --> 00:11:16,040 Speaker 1: So if you fire them, you probably have to give 194 00:11:16,080 --> 00:11:17,800 Speaker 1: them a severance package. You may have to pay him 195 00:11:17,880 --> 00:11:21,160 Speaker 1: multi months of wages. If you make them think that 196 00:11:21,240 --> 00:11:23,760 Speaker 1: you are going to fire them and they go and 197 00:11:23,800 --> 00:11:27,080 Speaker 1: find another job on their own, you get the benefit 198 00:11:27,200 --> 00:11:30,000 Speaker 1: of the people that you may have fired leaving without 199 00:11:30,040 --> 00:11:32,840 Speaker 1: having the costs associated with it. So when I saw 200 00:11:32,920 --> 00:11:36,280 Speaker 1: the seventy five percent, again a little bit of a 201 00:11:36,320 --> 00:11:39,160 Speaker 1: business knowledge there. A lot of times if you think 202 00:11:39,200 --> 00:11:42,680 Speaker 1: you have an employee that you want to fire, it's 203 00:11:42,760 --> 00:11:46,160 Speaker 1: easier for them to leave and decide that they're going 204 00:11:46,200 --> 00:11:48,120 Speaker 1: to take another job. And I think that's maybe what 205 00:11:48,200 --> 00:11:52,559 Speaker 1: Elon Musk was trying to get out there in that story, saying, Hey, 206 00:11:52,600 --> 00:11:54,960 Speaker 1: he's going to replace seventy five percent of employees, And 207 00:11:55,000 --> 00:11:58,520 Speaker 1: I bet seventy five percent of Twitter employees could be 208 00:11:58,559 --> 00:12:02,439 Speaker 1: gone and the overall value and functionality of the site 209 00:12:02,440 --> 00:12:07,000 Speaker 1: would not be impacted in any way. Very interesting that. 210 00:12:07,440 --> 00:12:09,079 Speaker 1: What are you going to think about Trump on Twitter? 211 00:12:09,200 --> 00:12:12,640 Speaker 1: Good or bad for him? Um? I think I think 212 00:12:12,720 --> 00:12:17,080 Speaker 1: that Trump on Twitter would be uh not a I 213 00:12:17,120 --> 00:12:18,960 Speaker 1: do not think it would be helpful if he wants 214 00:12:19,000 --> 00:12:21,200 Speaker 1: to run for president and win again, I do not 215 00:12:21,280 --> 00:12:23,680 Speaker 1: think it would be helpful. Um. I think that there's 216 00:12:23,800 --> 00:12:25,320 Speaker 1: enough There are enough ways for him to get the 217 00:12:25,360 --> 00:12:30,120 Speaker 1: message out that you know, he managed to use. This 218 00:12:30,160 --> 00:12:32,280 Speaker 1: is the other part of it too. He caught them 219 00:12:32,280 --> 00:12:35,200 Speaker 1: asleep at the wheel in twenty sixteen. Right. I was 220 00:12:35,280 --> 00:12:37,880 Speaker 1: at CNN as a as a political analyst at the time. 221 00:12:37,920 --> 00:12:39,959 Speaker 1: I mean, you know, once once a week or something, 222 00:12:39,960 --> 00:12:44,960 Speaker 1: but I remember being there and the mentality of the 223 00:12:45,000 --> 00:12:48,400 Speaker 1: Democrats every remember, this was this guy's such a clown 224 00:12:48,720 --> 00:12:50,559 Speaker 1: and this is such a joke, and Hillary's gonna beat 225 00:12:50,600 --> 00:12:54,480 Speaker 1: him so easily that the spectacle they can benefit from 226 00:12:54,960 --> 00:12:59,240 Speaker 1: without his messaging actually reaching anyone. CNN was running his rallies. 227 00:12:59,600 --> 00:13:03,600 Speaker 1: Right Twitter and Facebook, We're getting huge revenue boosts off 228 00:13:03,640 --> 00:13:07,640 Speaker 1: of all the engagement that Trump was creating. They will 229 00:13:07,840 --> 00:13:11,880 Speaker 1: not allow that to happen again. They have completely Obviously 230 00:13:11,920 --> 00:13:13,679 Speaker 1: they kicked him off Twitter, right, they kicked him off Face, 231 00:13:13,679 --> 00:13:16,520 Speaker 1: but they kicked him off these places so he won't 232 00:13:16,559 --> 00:13:18,360 Speaker 1: be able to do the same things that he did. 233 00:13:18,440 --> 00:13:20,439 Speaker 1: I've had to come because I love Trump Twitter. I'll 234 00:13:20,480 --> 00:13:22,360 Speaker 1: be honest. I thought it was hilarious. Like generally, I 235 00:13:22,480 --> 00:13:24,520 Speaker 1: was a big fan. I've said this before. Block he 236 00:13:24,600 --> 00:13:26,320 Speaker 1: was the only guy awake when I was doing early 237 00:13:26,400 --> 00:13:29,040 Speaker 1: morning radio sports talker radio. You'd be you know, you 238 00:13:29,200 --> 00:13:31,679 Speaker 1: hit scan and like nothing comes up. That That was 239 00:13:31,760 --> 00:13:33,800 Speaker 1: how my Twitter feed would be at like six am. 240 00:13:33,840 --> 00:13:35,920 Speaker 1: And then it's Trump. That's pretty much it. But this 241 00:13:36,080 --> 00:13:38,760 Speaker 1: time around, he doesn't have He's not going up as 242 00:13:38,840 --> 00:13:42,560 Speaker 1: an underdog against the apparatus. He's a former president who's 243 00:13:42,600 --> 00:13:45,720 Speaker 1: a likely future president. I don't think he needs Twitter 244 00:13:45,880 --> 00:13:48,000 Speaker 1: the way he did before. That's that's my take on it. 245 00:13:48,280 --> 00:13:50,800 Speaker 1: And it can be a distraction and it allows the 246 00:13:51,120 --> 00:13:53,960 Speaker 1: You know, we gotta get Trump to stop sitting down 247 00:13:54,000 --> 00:13:56,760 Speaker 1: with Maggie Haberman and Ben. You know Woodward, all right, 248 00:13:56,840 --> 00:13:58,920 Speaker 1: this is crazy. I don't know what he thinks he 249 00:13:59,000 --> 00:14:00,920 Speaker 1: gains from this. You know, we love the big guy 250 00:14:01,320 --> 00:14:05,640 Speaker 1: who's advising him on this one. It's not helpful gun owners. 251 00:14:05,840 --> 00:14:08,199 Speaker 1: You know how expensive AMMO has become, making it all 252 00:14:08,280 --> 00:14:10,839 Speaker 1: the more expensive to train and keep your skills sharp. 253 00:14:11,200 --> 00:14:13,440 Speaker 1: Did you know you can train without ammunition at your 254 00:14:13,480 --> 00:14:16,240 Speaker 1: home using the Mantis X. This is a dry fire 255 00:14:16,320 --> 00:14:18,880 Speaker 1: practice product, one that all the best shooters use to 256 00:14:18,960 --> 00:14:21,640 Speaker 1: do most of their training. That's what Mantis X is. 257 00:14:21,720 --> 00:14:24,880 Speaker 1: A firearms training system that is a no ammo, all 258 00:14:25,000 --> 00:14:28,960 Speaker 1: electronic way to improve your shooting accuracy. It simply attaches 259 00:14:29,000 --> 00:14:30,880 Speaker 1: to your firearm like a weapon light, and you can 260 00:14:31,000 --> 00:14:32,840 Speaker 1: use it at home or at the range for training 261 00:14:32,960 --> 00:14:36,160 Speaker 1: instead of using expensive AMMO. The Mantis X gives you 262 00:14:36,360 --> 00:14:39,200 Speaker 1: data driven real time feedback on your technique and guides 263 00:14:39,240 --> 00:14:42,760 Speaker 1: you through drills and courses. Ninety four percent of shooters 264 00:14:42,800 --> 00:14:46,680 Speaker 1: improve within twenty minutes of using the Mantis X. This 265 00:14:46,840 --> 00:14:49,720 Speaker 1: product is now being used by the US Marines and 266 00:14:50,040 --> 00:14:54,160 Speaker 1: Army Special Forces. It's military grade technology at an affordable price. 267 00:14:54,880 --> 00:14:57,600 Speaker 1: The Mantis X is a must have for every gun owner. 268 00:14:57,880 --> 00:14:59,960 Speaker 1: If you believe in your Second Amendment rights, you must 269 00:15:00,080 --> 00:15:03,600 Speaker 1: also act on your Second Amendment responsibility to be competent, 270 00:15:03,680 --> 00:15:06,720 Speaker 1: to have your shooting skills sharp. Start improving them today. 271 00:15:07,320 --> 00:15:11,240 Speaker 1: Get your Mantis X at mantis x dot com. That's 272 00:15:11,600 --> 00:15:15,120 Speaker 1: m A N T I S Mantis like praying Mantis 273 00:15:15,320 --> 00:15:20,800 Speaker 1: mantis x dot com. Welcome back in klaytuur Avis Buck 274 00:15:20,840 --> 00:15:24,000 Speaker 1: Sexton Show. We're about to head up to Minnesota to 275 00:15:24,120 --> 00:15:28,160 Speaker 1: talk to doctor Scott Jensen, who is running for to 276 00:15:28,320 --> 00:15:30,920 Speaker 1: try to knock out Waltz, who has been a disaster 277 00:15:31,280 --> 00:15:34,560 Speaker 1: for many of you Minnesotans who are listening to us 278 00:15:34,680 --> 00:15:38,240 Speaker 1: right now. Then we're gonna head out to Seattle and 279 00:15:38,440 --> 00:15:40,600 Speaker 1: talk to Matt Larkin, who's running trying to flip a 280 00:15:40,680 --> 00:15:43,600 Speaker 1: congressional steat in the Seattle area, and then we'll get 281 00:15:43,600 --> 00:15:45,680 Speaker 1: a little bit of a nerd walked them with our 282 00:15:45,720 --> 00:15:49,360 Speaker 1: buddy Ryan Grdusky on the overall campaigns. But Buck, here's 283 00:15:49,400 --> 00:15:52,120 Speaker 1: something that I think we're gonna have to monitor and 284 00:15:52,320 --> 00:15:55,960 Speaker 1: continue to talk about. Pennsylvania is now saying that it 285 00:15:56,160 --> 00:16:01,040 Speaker 1: may take several days for their election alley to be made. 286 00:16:01,840 --> 00:16:04,840 Speaker 1: And this is something I've been on four years. But 287 00:16:05,880 --> 00:16:10,920 Speaker 1: whatever Florida did after two thousand in the way that 288 00:16:11,600 --> 00:16:15,840 Speaker 1: in eleven days Florida will have an election and then 289 00:16:16,160 --> 00:16:20,720 Speaker 1: you will know within three hours probably of the polls 290 00:16:20,800 --> 00:16:24,760 Speaker 1: closing in Florida, who won every race, how it shook out. 291 00:16:25,320 --> 00:16:29,480 Speaker 1: Every state has to get their election results in by 292 00:16:29,640 --> 00:16:33,240 Speaker 1: election night. It's election night, it's not election week. We 293 00:16:33,360 --> 00:16:37,120 Speaker 1: can't have this scenario where the control of the Senate 294 00:16:37,280 --> 00:16:41,040 Speaker 1: hangs on Pennsylvania for five or six days, or like 295 00:16:41,240 --> 00:16:43,800 Speaker 1: we saw in Georgia, and like we saw in Arizona, 296 00:16:43,840 --> 00:16:46,040 Speaker 1: and like we saw in Nevada, and like we saw 297 00:16:46,120 --> 00:16:50,480 Speaker 1: in Pennsylvania. We can't have election tallies being counted for 298 00:16:50,680 --> 00:16:53,840 Speaker 1: weeks because whether you're a Democrat or Republican, it does 299 00:16:53,960 --> 00:16:57,680 Speaker 1: not instill confidence in the outcome. Part of secure elections 300 00:16:57,840 --> 00:16:59,560 Speaker 1: the same way that we are supposed to believe in 301 00:16:59,600 --> 00:17:03,960 Speaker 1: an impart martial judiciary and therefore have processes like recusal. 302 00:17:04,520 --> 00:17:07,800 Speaker 1: Part of secure elections is the belief that elections are 303 00:17:07,880 --> 00:17:10,679 Speaker 1: secure and when people are showing up, oh just got 304 00:17:10,720 --> 00:17:13,200 Speaker 1: another bag. We found this in the back of a 305 00:17:13,240 --> 00:17:16,960 Speaker 1: trunk somewhere three days after the election. Even if that 306 00:17:17,280 --> 00:17:19,840 Speaker 1: isn't malfeasance, which might be asking a lot depending on 307 00:17:19,880 --> 00:17:23,119 Speaker 1: the circumstances. If enough people think it is, you are 308 00:17:23,240 --> 00:17:27,879 Speaker 1: creating a problem. You are creating a problem reasonable people 309 00:17:28,400 --> 00:17:31,920 Speaker 1: thinking that they're screwing with the rules here. Something's up 310 00:17:32,440 --> 00:17:35,040 Speaker 1: is not something you can have in election. You are 311 00:17:35,080 --> 00:17:39,840 Speaker 1: one hundred right, Clay. It should every state, every election. 312 00:17:40,040 --> 00:17:43,240 Speaker 1: They should have it in on election night, full stop. 313 00:17:43,520 --> 00:17:45,240 Speaker 1: No more of this like, oh, you know, we'll take 314 00:17:45,280 --> 00:17:47,639 Speaker 1: about two weeks and we'll see what comes in from 315 00:17:47,680 --> 00:17:50,879 Speaker 1: this or that county. Unacceptable, unexcited, Agree, and we got 316 00:17:51,000 --> 00:17:55,960 Speaker 1: to solve it, my friends. A child's sound in the 317 00:17:56,040 --> 00:17:58,960 Speaker 1: womb is the heartbeat, and that is the focus of 318 00:17:59,000 --> 00:18:00,920 Speaker 1: a group that is working so hard to protect the 319 00:18:01,040 --> 00:18:05,160 Speaker 1: lives of unborn children. Preborn Pregnancy Clinic is the name 320 00:18:05,280 --> 00:18:09,200 Speaker 1: of this entity, and it works nationwide on its mission 321 00:18:09,640 --> 00:18:13,719 Speaker 1: to help expectant mothers who are contemplating this big decision, 322 00:18:13,760 --> 00:18:17,159 Speaker 1: the biggest of their lives. Preborn has rescued hundreds of 323 00:18:17,240 --> 00:18:20,960 Speaker 1: thousands of babies by introducing them to their mothers via 324 00:18:21,119 --> 00:18:25,080 Speaker 1: an ultrasound. Once that divine connection is made, it makes 325 00:18:25,200 --> 00:18:27,639 Speaker 1: such a difference from the perspective of the mother and 326 00:18:27,800 --> 00:18:31,120 Speaker 1: her decision. Our goal here is to help preborn pregnancy 327 00:18:31,160 --> 00:18:35,440 Speaker 1: clinics rescue forty thousand babies. We do that by contributions 328 00:18:35,520 --> 00:18:39,360 Speaker 1: yours and mine. Could you donate please today You can 329 00:18:39,520 --> 00:18:43,520 Speaker 1: help save a life. Look, if you have the ability, 330 00:18:43,600 --> 00:18:47,600 Speaker 1: consider any size donation you can. These are tax deductible donations. 331 00:18:48,200 --> 00:18:50,280 Speaker 1: All you have to do right now is dial pound 332 00:18:50,359 --> 00:18:53,720 Speaker 1: two five zero and say the keyword baby. That's pound 333 00:18:53,800 --> 00:18:56,920 Speaker 1: two five zero. Say the keyword baby, or go to 334 00:18:57,080 --> 00:19:03,320 Speaker 1: preborn dot com. Slash Buck. Welcome back to clay Anne Buck. 335 00:19:03,480 --> 00:19:07,800 Speaker 1: There are some very close, very important races underway right now, 336 00:19:08,560 --> 00:19:12,960 Speaker 1: and these are in states that tend to tilt blue, 337 00:19:13,560 --> 00:19:17,600 Speaker 1: but we are at what seems like the beginnings of 338 00:19:17,760 --> 00:19:20,280 Speaker 1: the red wave. You're my friends, but a very very 339 00:19:20,320 --> 00:19:23,119 Speaker 1: important race right now in Minnesota. The governor's race in 340 00:19:23,160 --> 00:19:28,480 Speaker 1: Minnesota is to be determined. Doctor Scott Jensen is with 341 00:19:28,640 --> 00:19:31,040 Speaker 1: us now, and doctor Jensen, we appreciate you coming back on. 342 00:19:31,720 --> 00:19:34,760 Speaker 1: You just got a big endorsement. Tell us what the 343 00:19:34,800 --> 00:19:37,359 Speaker 1: Trump endorsement means to you and how things are looking 344 00:19:37,480 --> 00:19:41,760 Speaker 1: right now when you're thrown down up in Minnesota. Well, 345 00:19:41,800 --> 00:19:44,920 Speaker 1: the recent trafaloger Pole came out and shows us a 346 00:19:45,000 --> 00:19:48,400 Speaker 1: half a point ahead. So this has really been powerful 347 00:19:48,480 --> 00:19:51,000 Speaker 1: because I think an awful lot of people accrost the 348 00:19:51,080 --> 00:19:54,840 Speaker 1: nation are excited about the idea that Minnesota can basically 349 00:19:54,960 --> 00:20:02,720 Speaker 1: tell democratic incumbent governor, you're done. You illadvisedly lock people 350 00:20:02,760 --> 00:20:05,959 Speaker 1: downlock people outlock business and downlock kids out. You did 351 00:20:06,000 --> 00:20:08,879 Speaker 1: it really nearly trying to justify everything you did. You 352 00:20:09,359 --> 00:20:15,119 Speaker 1: absolutely spurred on inflation. And from a crime perspective, Minnesota 353 00:20:15,200 --> 00:20:17,200 Speaker 1: never used to have to keep track of carjackings, but 354 00:20:17,240 --> 00:20:19,400 Speaker 1: when you get almost eight hundred in a year, people 355 00:20:19,480 --> 00:20:21,720 Speaker 1: realize this is a real thing. So I think that's 356 00:20:21,760 --> 00:20:23,920 Speaker 1: what's happening, and that's why we're a half a point ahead. 357 00:20:24,200 --> 00:20:26,280 Speaker 1: And what it's brought about for us has been just 358 00:20:26,359 --> 00:20:30,000 Speaker 1: a resurgence of people interested in our race. They want 359 00:20:30,040 --> 00:20:31,879 Speaker 1: to know work, where can they give? And so I'm 360 00:20:31,920 --> 00:20:35,560 Speaker 1: just telling everybody doctor Scott Jensen dot com, Dr Scott 361 00:20:35,760 --> 00:20:38,240 Speaker 1: j e n SCN dot com, help with out. The 362 00:20:38,400 --> 00:20:41,280 Speaker 1: more we can match dollar for dollar Tim Walls, the 363 00:20:41,400 --> 00:20:43,480 Speaker 1: more like it is that we're gonna win and we're 364 00:20:43,520 --> 00:20:47,600 Speaker 1: going to help lead the nation. On November eighth to 365 00:20:47,720 --> 00:20:52,200 Speaker 1: a place where conservative values, reasonable values, truth is being elevated. 366 00:20:52,560 --> 00:20:56,440 Speaker 1: In terms of endorsements, we made an intentional decision that, 367 00:20:56,520 --> 00:20:59,120 Speaker 1: because this is such a Minnesota race with its own nuances, 368 00:20:59,280 --> 00:21:02,920 Speaker 1: but we would not seek the endorsements of political leaders. 369 00:21:03,480 --> 00:21:07,080 Speaker 1: But we are grateful that leaders around the nation have 370 00:21:07,200 --> 00:21:09,840 Speaker 1: recognized the fact that Matt Burke and Scott Jensen have 371 00:21:09,960 --> 00:21:12,760 Speaker 1: the ability to lead and heal Minnesota. But we've been 372 00:21:12,840 --> 00:21:17,280 Speaker 1: extremely pleased at receiving some of the endorsements from the 373 00:21:17,880 --> 00:21:21,159 Speaker 1: sort of police and peace Peace Officers Association and the 374 00:21:21,320 --> 00:21:25,200 Speaker 1: Monk community, and we recently got an endorsement from a 375 00:21:25,880 --> 00:21:28,959 Speaker 1: federation of small businesses. And then the big one for us, 376 00:21:29,000 --> 00:21:34,920 Speaker 1: it was newspapers came out Rochester luth Morehead a dozen 377 00:21:35,000 --> 00:21:38,840 Speaker 1: different newspapers collectively in this forum, group of newspapers came 378 00:21:38,880 --> 00:21:41,359 Speaker 1: out and endorsed us, and that was huge. And so 379 00:21:41,480 --> 00:21:43,520 Speaker 1: I think that there's a there's a momentum going on. 380 00:21:44,080 --> 00:21:47,560 Speaker 1: I think Tim Wall's unwillingness to debate, sort of hunkering 381 00:21:47,640 --> 00:21:49,679 Speaker 1: down in the basement, taking a page out of Joe 382 00:21:49,760 --> 00:21:54,119 Speaker 1: Biden's playbook. Even people like Keith Ellison and ilhan Omar, 383 00:21:54,720 --> 00:21:57,480 Speaker 1: they're not able to protect Tim Wallas at this point, 384 00:21:57,560 --> 00:22:00,600 Speaker 1: he knows that he's out there naked because Minnesotas are 385 00:22:00,680 --> 00:22:03,240 Speaker 1: furious that he hasn't been showing up for debates. So 386 00:22:03,840 --> 00:22:07,480 Speaker 1: the failure when it comes to crime, Obviously, your state 387 00:22:07,640 --> 00:22:12,000 Speaker 1: was the epicenter of the George Floyd protests and everything 388 00:22:12,080 --> 00:22:15,359 Speaker 1: that spiraled out of there, and Tim Waltz's failures not 389 00:22:15,600 --> 00:22:19,240 Speaker 1: only had a lot to do with Minnesota, but it 390 00:22:19,320 --> 00:22:21,640 Speaker 1: seems like a lot of other governors took the lead 391 00:22:21,720 --> 00:22:25,240 Speaker 1: and how he responded. How much is that resonating as 392 00:22:25,320 --> 00:22:28,080 Speaker 1: you talked to voters all over the state of Minnesota 393 00:22:28,200 --> 00:22:31,399 Speaker 1: that there is a residual anger over the fact that 394 00:22:31,520 --> 00:22:36,600 Speaker 1: those months of protests and violent protests were allowed to occur. 395 00:22:38,640 --> 00:22:42,840 Speaker 1: Minnesotans recognized clearly that at some level, Tim Wallas is 396 00:22:42,960 --> 00:22:47,399 Speaker 1: the godfather of this crime epidemic, not just in Minneapolis 397 00:22:47,400 --> 00:22:50,360 Speaker 1: and Saint Paul, not just in Minnesota, but literally across 398 00:22:50,520 --> 00:22:53,199 Speaker 1: our nation's borders. There were cities that burned in our 399 00:22:53,280 --> 00:22:56,520 Speaker 1: nation that would not have needed to burn had Tim 400 00:22:56,520 --> 00:22:59,200 Speaker 1: Wallas been a leader. And I think for a while 401 00:22:59,280 --> 00:23:02,760 Speaker 1: people thought Welton was at a one off situation. Did 402 00:23:02,800 --> 00:23:06,400 Speaker 1: Tim Walls just make a gross mistake. But they see 403 00:23:06,440 --> 00:23:08,840 Speaker 1: the pattern. They see that he did not put the 404 00:23:08,920 --> 00:23:10,639 Speaker 1: National Guard on the street when he could have, and 405 00:23:10,720 --> 00:23:14,080 Speaker 1: when he finally did, he ridiculed Jacob Fry, the mayor 406 00:23:14,080 --> 00:23:16,760 Speaker 1: of Minneapolis. He called the National Guard a bunch of 407 00:23:16,840 --> 00:23:20,639 Speaker 1: nineteen year old cooks. And he followed that with telling 408 00:23:21,160 --> 00:23:22,960 Speaker 1: the police that they had to stand down and left 409 00:23:23,000 --> 00:23:25,200 Speaker 1: the Third Precinct burn. And then at the State Fair 410 00:23:25,200 --> 00:23:26,760 Speaker 1: a couple months ago, he tried to blame it on 411 00:23:26,880 --> 00:23:30,280 Speaker 1: the police as to why that building was allowed to burn. 412 00:23:30,640 --> 00:23:32,639 Speaker 1: And then a couple of weeks after the Third Precinct 413 00:23:32,680 --> 00:23:35,240 Speaker 1: building burn, he told the State Patrol to stand down 414 00:23:35,480 --> 00:23:39,160 Speaker 1: and allow his demonstrators to vent their anger by tearing 415 00:23:39,240 --> 00:23:41,840 Speaker 1: down a statue that belongs to the state of Minnesota 416 00:23:41,920 --> 00:23:45,159 Speaker 1: had been in place for decades. I think Minnesotas are 417 00:23:45,200 --> 00:23:49,040 Speaker 1: recognizing Tim Wallace has been literally feeding us a bunch 418 00:23:49,080 --> 00:23:51,840 Speaker 1: of hogwash, and they're standing up and saying there's no 419 00:23:51,920 --> 00:23:54,000 Speaker 1: way in the world Tim Wallas is going to get 420 00:23:54,119 --> 00:23:58,600 Speaker 1: us public safety. Recently, he said some of DFL staffers 421 00:23:59,119 --> 00:24:04,440 Speaker 1: criticizing moms and dance in suburbs or being afraid to 422 00:24:04,520 --> 00:24:07,520 Speaker 1: go down town Minneapolis with this DFL staff or sort 423 00:24:07,520 --> 00:24:10,040 Speaker 1: of saying there's no crime from you should be down here, 424 00:24:10,240 --> 00:24:12,960 Speaker 1: Why are you such a coward? And now that person 425 00:24:13,200 --> 00:24:16,879 Speaker 1: is absolutely closed down their Twitter accalent. I'm sure that 426 00:24:16,960 --> 00:24:20,359 Speaker 1: they were probably reprimanded by Walls's team, but this is 427 00:24:20,440 --> 00:24:23,879 Speaker 1: a kind of, if you will, tone death nature of 428 00:24:23,960 --> 00:24:27,240 Speaker 1: what's been going on in the Walls campaign. We're speaking 429 00:24:27,320 --> 00:24:30,040 Speaker 1: to doctor Scott Jensen. He's running for governor in Minnesota. 430 00:24:30,240 --> 00:24:33,120 Speaker 1: He can win this one, folks, but we have our 431 00:24:33,240 --> 00:24:36,080 Speaker 1: Minnesotans listening right now. They're going to have to mobilize 432 00:24:36,160 --> 00:24:41,280 Speaker 1: behind him, doctor Jensen. There are some people out there 433 00:24:41,400 --> 00:24:44,640 Speaker 1: still in the political world in this country who are 434 00:24:44,680 --> 00:24:47,000 Speaker 1: saying things like Kathy Hockel New York says kids should 435 00:24:47,000 --> 00:24:52,320 Speaker 1: still be in masks. How much is the backlash against 436 00:24:52,400 --> 00:24:57,080 Speaker 1: not only COVID authoritarianism, but being wrong and being authoritarian 437 00:24:57,359 --> 00:25:00,640 Speaker 1: when it comes to COVID affecting the minute so to race. 438 00:25:02,240 --> 00:25:04,680 Speaker 1: It's interesting. I think it's a really interesting question. Thank 439 00:25:04,680 --> 00:25:07,240 Speaker 1: you for asking. I think what we saw was this, 440 00:25:08,000 --> 00:25:12,320 Speaker 1: especially in like twenty twenty, we saw anything that went 441 00:25:12,480 --> 00:25:18,040 Speaker 1: against sort of the liberal news narrative. It was misinformation, 442 00:25:18,640 --> 00:25:22,800 Speaker 1: and they never recanted even when they're proven wrong. For instance, 443 00:25:23,160 --> 00:25:26,320 Speaker 1: right now, I've been very clear there will be no 444 00:25:26,480 --> 00:25:29,679 Speaker 1: mandates in Minnesota whereby kids have to take COVID nineteen 445 00:25:29,800 --> 00:25:32,280 Speaker 1: vaccines in order to attend school. I've been very clear 446 00:25:32,520 --> 00:25:34,960 Speaker 1: Tim Walls won't respond to them. But if you go 447 00:25:35,040 --> 00:25:38,679 Speaker 1: back to that question that tantalized America, and even now 448 00:25:38,760 --> 00:25:41,960 Speaker 1: we're starting to see reports from the Senate, the US Senate, 449 00:25:42,560 --> 00:25:46,520 Speaker 1: where did the COVID nineteen virus come from? And there 450 00:25:46,600 --> 00:25:49,640 Speaker 1: were many people, including myself that thought that this most 451 00:25:49,680 --> 00:25:53,840 Speaker 1: likely would be a natural reassortment of RNA material between 452 00:25:53,880 --> 00:25:58,920 Speaker 1: different species. But Robert Redfield, the former CDC director, he 453 00:25:59,080 --> 00:26:01,359 Speaker 1: came out after he is no longer CDC director and 454 00:26:01,440 --> 00:26:05,480 Speaker 1: said that he was uncomfortable attributing that COVID nineteen virus 455 00:26:05,600 --> 00:26:07,680 Speaker 1: to a natural reassortment and that there was more and 456 00:26:07,800 --> 00:26:10,600 Speaker 1: more data that would indicate that it probably was a 457 00:26:10,760 --> 00:26:14,680 Speaker 1: lab incident. Even today we're seeing this come out in 458 00:26:14,760 --> 00:26:17,359 Speaker 1: the news. Or what does that mean? Does that mean 459 00:26:17,440 --> 00:26:21,040 Speaker 1: that the people that ridiculed you or me about spreading 460 00:26:21,119 --> 00:26:24,560 Speaker 1: misinformation are they going to now apologize to us and say, well, 461 00:26:24,600 --> 00:26:27,720 Speaker 1: I guess it wasn't that way. There was a signature 462 00:26:28,040 --> 00:26:33,359 Speaker 1: sequence of amino acid basis on the COVID nineteen virus 463 00:26:33,680 --> 00:26:37,000 Speaker 1: that people recognized a long time ago didn't seem to 464 00:26:37,080 --> 00:26:39,680 Speaker 1: be consistent with that which would happen in nature. It 465 00:26:39,840 --> 00:26:43,600 Speaker 1: would potentially happen in a laboratory produced virus. So are 466 00:26:43,640 --> 00:26:45,960 Speaker 1: these people going to apologize to us or are they 467 00:26:46,040 --> 00:26:49,639 Speaker 1: just going to sort of brush that under the rug. No, 468 00:26:49,760 --> 00:26:53,600 Speaker 1: they're never going to apologize, and frankly, many of us 469 00:26:53,680 --> 00:26:55,720 Speaker 1: out there who were asking these questions are going to 470 00:26:55,800 --> 00:26:58,880 Speaker 1: be validated. I think the irony here in many ways, 471 00:26:58,960 --> 00:27:01,800 Speaker 1: as you well know, doctor Jensen, is that people try 472 00:27:01,840 --> 00:27:03,440 Speaker 1: to claim they're going to be on the right side 473 00:27:03,480 --> 00:27:06,520 Speaker 1: of history, and anybody who studies history knows it's difficult. 474 00:27:06,720 --> 00:27:09,240 Speaker 1: And I feel pretty confident that people who locked down 475 00:27:09,280 --> 00:27:11,240 Speaker 1: this country and took kids out of school for months 476 00:27:11,359 --> 00:27:13,600 Speaker 1: are going to end up on the wrong side of history. 477 00:27:13,680 --> 00:27:17,920 Speaker 1: Quite clearly, they already are, doctor Jensen. Thanks for coming on. 478 00:27:18,440 --> 00:27:20,879 Speaker 1: What can people do in these last eleven days to 479 00:27:21,040 --> 00:27:23,840 Speaker 1: try to make sure that you are able to get 480 00:27:23,960 --> 00:27:29,440 Speaker 1: to that governor's office in Minnesota? Two things we need 481 00:27:29,520 --> 00:27:33,080 Speaker 1: the financial support. The Democratic money machine is alive and well. 482 00:27:33,440 --> 00:27:37,360 Speaker 1: Our website is Dr Scott j E n SCN dot 483 00:27:37,440 --> 00:27:39,800 Speaker 1: com and we'd love you to support us and help us. 484 00:27:40,040 --> 00:27:42,320 Speaker 1: But the other thing is I would ask all Minnesotans 485 00:27:42,640 --> 00:27:46,119 Speaker 1: and even all Americans to remember that on March thirteenth, 486 00:27:47,040 --> 00:27:50,560 Speaker 1: twenty twenty, our lives changed, because that's when Governor Tim 487 00:27:50,640 --> 00:27:54,280 Speaker 1: Walls issued his executive order, this first executive order declaring 488 00:27:54,320 --> 00:27:58,200 Speaker 1: a peacetime state of emergency. And from there he told 489 00:27:58,600 --> 00:28:02,280 Speaker 1: family businesses were shut you down. He told kids, you're 490 00:28:02,359 --> 00:28:06,040 Speaker 1: locked out of schools, and he told sick, frail nursing 491 00:28:06,080 --> 00:28:09,600 Speaker 1: home patients, you're going to die alone. That day should 492 00:28:09,600 --> 00:28:14,119 Speaker 1: be burned into our psyche. March thirteenth, twenty twenty, Minnesota 493 00:28:14,240 --> 00:28:17,160 Speaker 1: was no longer governed by a governor. An emperor had 494 00:28:17,200 --> 00:28:21,960 Speaker 1: taken seat. It's really well, said doctor Jensen. We're for you. 495 00:28:22,160 --> 00:28:23,760 Speaker 1: We're going to help you as as much as we 496 00:28:23,840 --> 00:28:26,240 Speaker 1: can these next eleven days. Hope everybody listening to us 497 00:28:26,280 --> 00:28:28,920 Speaker 1: in Minnesota and beyond will do so as well. Thank you, doctor, 498 00:28:29,640 --> 00:28:32,520 Speaker 1: Thank you parents. Let me remind you of a book 499 00:28:32,640 --> 00:28:35,240 Speaker 1: worthy of sharing with your family. It's based on Jordan 500 00:28:35,280 --> 00:28:38,840 Speaker 1: Peterson's Twelve Rules for Life, which Peterson has become very 501 00:28:38,960 --> 00:28:41,520 Speaker 1: well known for. In fact, he's on a stadium tour 502 00:28:41,680 --> 00:28:44,120 Speaker 1: this fall in front of sold out the audiences every night. 503 00:28:44,200 --> 00:28:46,400 Speaker 1: And this new book is great for the whole family. 504 00:28:46,880 --> 00:28:50,280 Speaker 1: Peterson will teach us great things. Taking personal responsibility isn't 505 00:28:50,280 --> 00:28:52,560 Speaker 1: always popular best way to get a good life though. 506 00:28:52,640 --> 00:28:56,120 Speaker 1: The book is called The Twelve Rules boot Camp and 507 00:28:56,240 --> 00:28:59,120 Speaker 1: it's the latest from the Tuttle Twins. It'll introduce your 508 00:28:59,160 --> 00:29:01,680 Speaker 1: whole family to the best advice Jordan Peterson has to 509 00:29:01,800 --> 00:29:04,640 Speaker 1: offer in a fun way kids of all ages can 510 00:29:04,760 --> 00:29:07,960 Speaker 1: learn from. Just like their other books, Twelve Rules boot 511 00:29:08,000 --> 00:29:11,720 Speaker 1: Camp keeps kids engaged and interested, even when it's teaching 512 00:29:11,800 --> 00:29:14,400 Speaker 1: things like the importance of cleaning their rooms. If you 513 00:29:14,440 --> 00:29:17,480 Speaker 1: want to help inspire your family, go to Tuttle radio 514 00:29:17,680 --> 00:29:20,480 Speaker 1: dot com to get this book now. It's free for 515 00:29:20,560 --> 00:29:23,520 Speaker 1: the next couple of days and told the surplus copies 516 00:29:23,560 --> 00:29:26,400 Speaker 1: run out again. All you have to pay is shipping. 517 00:29:26,720 --> 00:29:29,000 Speaker 1: Here's what you do. If you want your free copy, 518 00:29:29,440 --> 00:29:33,240 Speaker 1: go to Tuttle radio dot com right now and you 519 00:29:33,360 --> 00:29:36,160 Speaker 1: can get The Tuttle Twins and The Twelve Rules boot 520 00:29:36,200 --> 00:29:43,080 Speaker 1: Camp while supplies last. That's Tuttle radio dot Com. Welcome back, 521 00:29:43,200 --> 00:29:45,760 Speaker 1: En Clay sure, Avis buck Sexton, show our thanks to 522 00:29:45,840 --> 00:29:48,640 Speaker 1: doctor Scott Jensen. We're gonna be joined by Matt Larkin. 523 00:29:48,680 --> 00:29:51,160 Speaker 1: A lot of listeners out there in Seattle. We appreciate 524 00:29:51,320 --> 00:29:54,480 Speaker 1: all of you. He is fighting to flip a seat 525 00:29:54,600 --> 00:29:56,680 Speaker 1: out in the Seattle area. He's going to join us 526 00:29:56,680 --> 00:30:00,280 Speaker 1: top in the next hour, but the fallout continue. Used 527 00:30:00,400 --> 00:30:04,320 Speaker 1: from the most disastrous performance in a debate I have 528 00:30:04,400 --> 00:30:09,480 Speaker 1: ever seen, John Fetterman. There is an article up on NBC, 529 00:30:10,240 --> 00:30:14,479 Speaker 1: so they are still parsing the disaster that was that debate, 530 00:30:14,640 --> 00:30:18,719 Speaker 1: and some of these quotes are You're going to enjoy them, 531 00:30:18,800 --> 00:30:22,680 Speaker 1: but they're also pretty wild. So Chris Kofinis is a 532 00:30:22,880 --> 00:30:27,000 Speaker 1: veteran Democrat campaign strategist. Here's what he said in the 533 00:30:27,200 --> 00:30:31,720 Speaker 1: NBC article. He should not have debated. Anyone on his 534 00:30:31,920 --> 00:30:36,280 Speaker 1: team who agreed to a debate should be fired or 535 00:30:36,480 --> 00:30:41,240 Speaker 1: never work again, because that debate may have tanked his campaign. 536 00:30:42,120 --> 00:30:47,000 Speaker 1: Other quotes there are senior Democrat aide saying, well, this 537 00:30:47,200 --> 00:30:51,760 Speaker 1: is Carrie Mosley, a Democrat consultant and grassroots activist in Pittsburgh. 538 00:30:52,160 --> 00:30:55,480 Speaker 1: Folks are pretty much freaking out on the Democrat side. 539 00:30:56,000 --> 00:31:00,200 Speaker 1: Another anonymous source said, I really question the judgment that 540 00:31:00,360 --> 00:31:05,840 Speaker 1: he continued with this race, and there are so many 541 00:31:06,000 --> 00:31:10,800 Speaker 1: different people out there. Terry Madonna, a longtime Pennsylvania polster, 542 00:31:10,960 --> 00:31:14,440 Speaker 1: didn't mince words. He said, the fact of the matter 543 00:31:14,640 --> 00:31:18,160 Speaker 1: is his performance was obviously very questionable and it's just 544 00:31:18,640 --> 00:31:22,640 Speaker 1: dominated the news. He said, he's never seen a debate 545 00:31:22,760 --> 00:31:28,720 Speaker 1: performance this bad. And Buck this is funny to me 546 00:31:28,840 --> 00:31:33,200 Speaker 1: because remember the early immediate response Democrat media tried to say, oh, 547 00:31:33,320 --> 00:31:36,440 Speaker 1: you know, it was a fine Now the I think 548 00:31:36,480 --> 00:31:38,920 Speaker 1: they're starting to see the reaction to debate. Did the 549 00:31:39,000 --> 00:31:42,240 Speaker 1: debate come in from the public and they're recognizing what 550 00:31:42,360 --> 00:31:46,680 Speaker 1: a cataclysmic failure that was for their campaign. Yes, this 551 00:31:46,800 --> 00:31:49,600 Speaker 1: has been going on for months. Okay, this is what 552 00:31:49,720 --> 00:31:54,840 Speaker 1: the Democrats have created and all out get power at 553 00:31:54,880 --> 00:31:59,440 Speaker 1: any cost echo chamber. So anybody who would have, even 554 00:31:59,480 --> 00:32:02,120 Speaker 1: for the po is of self correction within the Democrat 555 00:32:02,240 --> 00:32:05,040 Speaker 1: Party said hey, guys, I think we got to think 556 00:32:05,040 --> 00:32:07,920 Speaker 1: about this one. It would be shut up, you know 557 00:32:08,400 --> 00:32:11,719 Speaker 1: the Republicans or threats to democracy, and you know all 558 00:32:11,760 --> 00:32:14,080 Speaker 1: the stuff that they always say, right, oh, women's right 559 00:32:14,160 --> 00:32:18,280 Speaker 1: to reproductive health choice freedom also known as abortion. All 560 00:32:18,400 --> 00:32:22,800 Speaker 1: of these things that they throw out there silenced anybody 561 00:32:22,840 --> 00:32:26,640 Speaker 1: who was just saying the obvious when you silenced the obvious, which, 562 00:32:26,680 --> 00:32:29,120 Speaker 1: by the way, is one of the great failures of wokeness. 563 00:32:29,200 --> 00:32:32,520 Speaker 1: Wokeness always insists that you cannot say things that are 564 00:32:32,600 --> 00:32:35,880 Speaker 1: obviously true. That that's if you're going to be truly woke. 565 00:32:36,000 --> 00:32:37,520 Speaker 1: You have to be willing to say things that are 566 00:32:37,560 --> 00:32:42,320 Speaker 1: obviously false. They created this mess for themselves. I mean, 567 00:32:42,560 --> 00:32:45,480 Speaker 1: the fact of the matter is they've known this. Anybody 568 00:32:45,520 --> 00:32:47,200 Speaker 1: should have known this for months. I have I have 569 00:32:47,240 --> 00:32:49,120 Speaker 1: a friend in Pennsylvania. I remember I asked about this 570 00:32:49,280 --> 00:32:50,720 Speaker 1: like last June. I was like, Hey, what's going on 571 00:32:50,760 --> 00:32:53,040 Speaker 1: with the speederment? Guys like, oh man, you don't even know. 572 00:32:53,440 --> 00:32:56,960 Speaker 1: You know. It's like people knew that this was a disaster. 573 00:32:57,480 --> 00:33:00,200 Speaker 1: People knew that he just had a severe stroke. And 574 00:33:00,560 --> 00:33:03,000 Speaker 1: yet now they're turning around. You know, it's a little 575 00:33:03,080 --> 00:33:04,640 Speaker 1: late in the game. Is when I'm getting at here 576 00:33:04,680 --> 00:33:07,200 Speaker 1: to do the whole Oh man, I would have never 577 00:33:07,600 --> 00:33:10,680 Speaker 1: I would have never allowed this to happen. The Federman situation, 578 00:33:10,800 --> 00:33:16,040 Speaker 1: it's like, yeah, when you're high dive champion belly flops 579 00:33:16,320 --> 00:33:20,040 Speaker 1: and waddles out of the pool. Afterwards, it's easy to say, 580 00:33:20,120 --> 00:33:23,160 Speaker 1: maybe we shouldn't have had him in the lineup. Good quote. 581 00:33:23,280 --> 00:33:25,760 Speaker 1: Last night, I was out to dinner with some friends. 582 00:33:26,320 --> 00:33:29,720 Speaker 1: Ted Cruz came into town. You guys know because because 583 00:33:29,800 --> 00:33:32,400 Speaker 1: he was speaking, and Andy Ogules is going to be 584 00:33:32,440 --> 00:33:35,400 Speaker 1: the next congressman from my area of town. We had 585 00:33:35,400 --> 00:33:39,440 Speaker 1: a great event last night in Franklin, Tennessee. But I 586 00:33:39,480 --> 00:33:41,400 Speaker 1: went out to dinner with a bunch of people afterwards, 587 00:33:41,440 --> 00:33:44,320 Speaker 1: and there were several political consultants there at the dinner 588 00:33:44,840 --> 00:33:47,400 Speaker 1: and one of them said something that I thought was 589 00:33:47,480 --> 00:33:50,040 Speaker 1: really kind of summed up because everybody was talking about 590 00:33:50,080 --> 00:33:53,600 Speaker 1: the decision of Federman to debate and what a disaster 591 00:33:53,800 --> 00:33:57,040 Speaker 1: it was at the dinner, and one of the political 592 00:33:57,120 --> 00:34:03,320 Speaker 1: consultants said, candidates win elections, but consultants can lose elections. 593 00:34:03,800 --> 00:34:07,320 Speaker 1: And John Fetterman's consultants lost him the election in that 594 00:34:07,520 --> 00:34:10,680 Speaker 1: debate on Tuesday night. Can I just that was just 595 00:34:11,040 --> 00:34:13,680 Speaker 1: it was. It was dead and done not to you know, 596 00:34:14,080 --> 00:34:19,880 Speaker 1: stand up for the absolutely a moral lib consultants that 597 00:34:19,960 --> 00:34:23,520 Speaker 1: are I'm sure surrounding John Fetterman. But was not debating 598 00:34:23,600 --> 00:34:25,560 Speaker 1: at all really an option either. I mean, you know, 599 00:34:25,640 --> 00:34:27,800 Speaker 1: it's easy to say now it was such a disaster, 600 00:34:28,440 --> 00:34:30,480 Speaker 1: but you won't show up for debate, for a debate, 601 00:34:31,120 --> 00:34:33,800 Speaker 1: I mean, this is remarkable. It's like, okay, I actually 602 00:34:33,800 --> 00:34:36,640 Speaker 1: told the beforehand. You know, I've been told by friends 603 00:34:36,640 --> 00:34:39,040 Speaker 1: of mine that know the legal system, They're like, look, 604 00:34:39,760 --> 00:34:42,680 Speaker 1: if you get pulled over and you know you might 605 00:34:42,719 --> 00:34:45,440 Speaker 1: have had a few too many better at least in 606 00:34:45,560 --> 00:34:48,359 Speaker 1: New York. I think if if you refuse to blow 607 00:34:48,480 --> 00:34:53,280 Speaker 1: into the breathalyzer, you're getting a six month automatic license suspension, 608 00:34:53,360 --> 00:34:55,400 Speaker 1: which is you know, it's a it's a real penalty, right, 609 00:34:56,120 --> 00:34:57,960 Speaker 1: But if you know you're gonna blow and it's gonna 610 00:34:58,000 --> 00:35:00,880 Speaker 1: be over the limit, don't blow, like take the hit. 611 00:35:01,400 --> 00:35:03,879 Speaker 1: So I think, in essence, that's what this would have been, 612 00:35:03,960 --> 00:35:06,600 Speaker 1: because not showing up to debate is like getting a 613 00:35:06,680 --> 00:35:09,440 Speaker 1: six month suspended license. I mean, you can come back 614 00:35:09,520 --> 00:35:11,759 Speaker 1: from that maybe, but that's not a good thing. But 615 00:35:11,920 --> 00:35:14,080 Speaker 1: if you if you blow a you know, a one 616 00:35:14,200 --> 00:35:18,680 Speaker 1: point two, you're in a lot of trouble. So you know, 617 00:35:18,840 --> 00:35:21,560 Speaker 1: Katie Hobbs is not debating in Arizona and she's gonna 618 00:35:21,600 --> 00:35:24,160 Speaker 1: lose that election. And we think, would you be dead 619 00:35:24,160 --> 00:35:25,880 Speaker 1: if you blew one point to what's the what is 620 00:35:25,880 --> 00:35:27,839 Speaker 1: the point? It's point zero eight? I think it's point 621 00:35:27,960 --> 00:35:30,759 Speaker 1: it's point one one point two percent of your body 622 00:35:30,880 --> 00:35:33,799 Speaker 1: with alcohol. You yeah, so just think that's like four 623 00:35:33,800 --> 00:35:35,759 Speaker 1: A while to hide, yes, you know. So, I just 624 00:35:35,840 --> 00:35:37,759 Speaker 1: want to clarify because people are like bucked as I 625 00:35:37,800 --> 00:35:40,919 Speaker 1: have no idea. I barely drink and I certainly never drink. 626 00:35:41,120 --> 00:35:43,399 Speaker 1: I'm pretty sure the number now is point zero eight. 627 00:35:43,840 --> 00:35:45,839 Speaker 1: That's right. I think that's the number of So if 628 00:35:45,840 --> 00:35:47,960 Speaker 1: you if you do a point two, I'm saying that's 629 00:35:47,960 --> 00:35:50,799 Speaker 1: a bad thing, right. Point two is like your rat 630 00:35:50,880 --> 00:35:53,640 Speaker 1: I mean there's an anesthetic level drunk where you'd be 631 00:35:53,800 --> 00:35:56,439 Speaker 1: like it's almost impossible for you to be able to move. 632 00:35:57,080 --> 00:36:00,880 Speaker 1: Um and uh, but but so, but Katie Hobbs is 633 00:36:00,960 --> 00:36:04,440 Speaker 1: not debating, and you just heard from Scott Jensen who 634 00:36:04,600 --> 00:36:08,239 Speaker 1: was saying that Tim Walz refused to debate him. You 635 00:36:08,280 --> 00:36:11,480 Speaker 1: would have cannydia focus though on those races. To be fair, right, 636 00:36:11,600 --> 00:36:14,800 Speaker 1: the odds things Ana has been a national user. He 637 00:36:14,880 --> 00:36:17,120 Speaker 1: would have gotten deemed more and more on it because 638 00:36:17,160 --> 00:36:20,600 Speaker 1: of the health. But I don't think refusing to debate 639 00:36:20,680 --> 00:36:23,160 Speaker 1: could have been as bad as being as awful as 640 00:36:23,320 --> 00:36:25,400 Speaker 1: it could not have been worse really than what it was. 641 00:36:25,480 --> 00:36:27,600 Speaker 1: I think that is true. I just my question is, 642 00:36:27,680 --> 00:36:29,960 Speaker 1: and I would ask this and we'll talk about it, 643 00:36:30,000 --> 00:36:31,920 Speaker 1: I think continuously as we'd come up on the next 644 00:36:31,960 --> 00:36:35,279 Speaker 1: eleven days. Was he so much worse than they thought? 645 00:36:35,400 --> 00:36:37,719 Speaker 1: Because if they did a practice debate and he was 646 00:36:37,840 --> 00:36:40,359 Speaker 1: that bad, I would think people would just say, yeah, 647 00:36:40,560 --> 00:36:43,920 Speaker 1: we're not doing this. Was he actually even worse they 648 00:36:44,000 --> 00:36:46,000 Speaker 1: knew he was going to be bad. We're thinking about 649 00:36:46,080 --> 00:36:48,879 Speaker 1: what out to Seattle next with Matt Larkin. Big race there,