1 00:00:00,480 --> 00:00:03,360 Speaker 1: Second hour of Clay and but kicks off. Now everybody, 2 00:00:03,800 --> 00:00:06,040 Speaker 1: our friend Mark Simon, mister New York, will be joining 3 00:00:06,080 --> 00:00:07,760 Speaker 1: us at the bottom of talk about the New York 4 00:00:07,800 --> 00:00:12,400 Speaker 1: Mayor's race, also the New Jersey Governor's race, so some 5 00:00:12,520 --> 00:00:17,440 Speaker 1: big stuff to dive into with Mark. Got great sources, 6 00:00:17,440 --> 00:00:22,160 Speaker 1: connections and insight into both of those contests. So looking 7 00:00:22,160 --> 00:00:27,440 Speaker 1: forward to that conversation. In the meantime, we have Donald Trump, 8 00:00:28,120 --> 00:00:31,319 Speaker 1: the one and only that down on sixty minutes with 9 00:00:31,640 --> 00:00:32,600 Speaker 1: Nora o'donnelld. 10 00:00:32,640 --> 00:00:35,520 Speaker 2: This was all over the place doing a long form. 11 00:00:35,560 --> 00:00:37,639 Speaker 1: It was an hour sit down, but I think they 12 00:00:37,640 --> 00:00:40,720 Speaker 1: only aired like twenty something minutes of it. We wanted 13 00:00:40,760 --> 00:00:44,640 Speaker 1: to bring you some of the more interesting moments and 14 00:00:45,600 --> 00:00:48,960 Speaker 1: dive into some of that. So here we have first Stop. 15 00:00:49,040 --> 00:00:52,080 Speaker 1: Because tomorrow is in fact collection day. Go vote, as 16 00:00:52,080 --> 00:00:53,880 Speaker 1: we always say, just make sure you go and do 17 00:00:53,960 --> 00:00:56,680 Speaker 1: it. It's a good thing to do. Some places they even 18 00:00:56,720 --> 00:00:58,800 Speaker 1: give you a little sticker that says I voted. You know, 19 00:00:58,840 --> 00:01:00,760 Speaker 1: it's like when you go to the pd aatrician's office. 20 00:01:00,800 --> 00:01:03,760 Speaker 1: Did you get fuzzy stickers when you go to the 21 00:01:03,800 --> 00:01:06,240 Speaker 1: pediatricians office? Grown up or something? You know, a little 22 00:01:06,400 --> 00:01:09,000 Speaker 1: like a maybe they gave you a Tutsi role, which 23 00:01:09,200 --> 00:01:09,880 Speaker 1: is a. 24 00:01:09,760 --> 00:01:10,720 Speaker 2: Song by the way. 25 00:01:10,800 --> 00:01:12,800 Speaker 1: Oh I know the song well, but I was not 26 00:01:12,920 --> 00:01:15,280 Speaker 1: expecting to see as I was sitting at the airport, 27 00:01:15,440 --> 00:01:19,560 Speaker 1: caught in travel hell as many people are. Unfortunately right 28 00:01:19,600 --> 00:01:24,160 Speaker 1: now you dancing to a song from Was that the 29 00:01:24,240 --> 00:01:25,479 Speaker 1: late nineties early two. 30 00:01:25,440 --> 00:01:27,520 Speaker 2: Thirty nineties, like ninety three, ninety four? 31 00:01:27,560 --> 00:01:27,920 Speaker 3: Oh wow? 32 00:01:28,680 --> 00:01:31,880 Speaker 1: Yes, But I was in fact doing my version of 33 00:01:31,920 --> 00:01:34,400 Speaker 1: the Tutsi role here in studio. I did not expect 34 00:01:34,480 --> 00:01:36,720 Speaker 1: to see that. It was as I was texting and 35 00:01:37,640 --> 00:01:40,600 Speaker 1: keeping tabs on my flight. I look down and you're dancing. 36 00:01:41,200 --> 00:01:43,320 Speaker 1: Play's telling me that he can't unsee it. I don't 37 00:01:43,319 --> 00:01:45,679 Speaker 1: even know what that means, you know, but it feels 38 00:01:45,720 --> 00:01:49,960 Speaker 1: kind of hurtful. It feels kind of hurtful. So yes, indeed, 39 00:01:49,960 --> 00:01:52,320 Speaker 1: they they will give you a at some place at 40 00:01:52,400 --> 00:01:54,400 Speaker 1: least the I voted stick or go vote. That's the point. 41 00:01:54,440 --> 00:01:59,160 Speaker 1: But on mom, Donnie Trump had this to say, play one. 42 00:01:59,200 --> 00:02:02,120 Speaker 4: Zorhan mandan thirty four year old democratic socialist. 43 00:02:02,440 --> 00:02:04,680 Speaker 5: He's the promunist, not socialist communists. 44 00:02:04,960 --> 00:02:06,560 Speaker 2: Far He's far worse than assessment. 45 00:02:06,600 --> 00:02:09,440 Speaker 4: Some people have compared him to a left wing version 46 00:02:09,480 --> 00:02:12,359 Speaker 4: of you charismatic breaking the old rules. What do you 47 00:02:12,400 --> 00:02:12,880 Speaker 4: think about that? 48 00:02:13,880 --> 00:02:16,120 Speaker 5: Well, I think I'm a much better looking person than him. 49 00:02:16,200 --> 00:02:22,240 Speaker 1: Right, this is just Trump being Trump, plus first he 50 00:02:22,320 --> 00:02:24,400 Speaker 1: eats the slams of being a communist, then he's like 51 00:02:24,880 --> 00:02:27,120 Speaker 1: a much better, much better looking guy. Trump in his 52 00:02:27,200 --> 00:02:30,120 Speaker 1: thirties was, I will say, a very very striking fellow, 53 00:02:30,760 --> 00:02:36,359 Speaker 1: flowing hair, jaw line, very good, very good true facts there. 54 00:02:36,560 --> 00:02:40,079 Speaker 1: But all the Mamdani issue, Clay, this is going to 55 00:02:40,120 --> 00:02:42,040 Speaker 1: get a lot of national attention. If this guy ends 56 00:02:42,080 --> 00:02:45,000 Speaker 1: up winning, as you have been saying all along, it 57 00:02:45,160 --> 00:02:48,440 Speaker 1: may post some problems for Democrats going into the mid terms, 58 00:02:48,919 --> 00:02:53,080 Speaker 1: because every indicator is that they should at least pretend 59 00:02:53,280 --> 00:02:56,360 Speaker 1: they're not going to moderate or to be more moderate, 60 00:02:57,080 --> 00:02:59,680 Speaker 1: but they should at least pretend to fool voters. That's 61 00:02:59,680 --> 00:03:01,280 Speaker 1: a little harder to do if you're going to be 62 00:03:01,280 --> 00:03:05,320 Speaker 1: giving endorsements, for example, to a Mamdani like figure, and 63 00:03:05,440 --> 00:03:08,480 Speaker 1: without Grandma Pelosi to keep all the members of Congress 64 00:03:08,520 --> 00:03:11,400 Speaker 1: in line, things could get pretty crazy over there on 65 00:03:11,440 --> 00:03:12,560 Speaker 1: the Democrats side. 66 00:03:12,880 --> 00:03:13,520 Speaker 2: This is why. 67 00:03:13,560 --> 00:03:15,840 Speaker 1: And I may have to give my big speech in 68 00:03:15,880 --> 00:03:19,320 Speaker 1: a positive way tomorrow, and I know that there are 69 00:03:19,320 --> 00:03:21,440 Speaker 1: a lot of you listening to us in New York City. 70 00:03:22,000 --> 00:03:25,680 Speaker 1: But I do think that Democrats are incredibly nervous about 71 00:03:25,720 --> 00:03:28,680 Speaker 1: the idea of Mam Donnie being the face of the 72 00:03:28,720 --> 00:03:34,840 Speaker 1: Democrat Party because he and AOC are going to become 73 00:03:35,440 --> 00:03:38,000 Speaker 1: the faces of the Democrat Party in the midterm for 74 00:03:38,040 --> 00:03:41,040 Speaker 1: next year. Best thing you can say about Mom Donni 75 00:03:41,160 --> 00:03:43,880 Speaker 1: if he wins is that he's going to have no 76 00:03:44,000 --> 00:03:47,240 Speaker 1: impact and he's not going to be able to put 77 00:03:47,280 --> 00:03:51,080 Speaker 1: in place the policies that he has campaigned on. And 78 00:03:51,240 --> 00:03:54,320 Speaker 1: certainly there is an incentive for all of you listening 79 00:03:54,360 --> 00:03:58,560 Speaker 1: in New York. Upstate New York, which is basically everywhere 80 00:03:58,600 --> 00:04:02,200 Speaker 1: outside of New York City is actually not that much 81 00:04:02,280 --> 00:04:05,840 Speaker 1: different than Alabama. And it sounds funny to people who 82 00:04:05,840 --> 00:04:09,440 Speaker 1: think of New York defined entirely as Manhattan as the 83 00:04:09,440 --> 00:04:14,120 Speaker 1: New York City area, But you get outside an hour 84 00:04:14,360 --> 00:04:17,720 Speaker 1: outside of New York City, buck, and it might as 85 00:04:17,720 --> 00:04:21,440 Speaker 1: well be Alabama or Mississippi in in much I mean 86 00:04:21,560 --> 00:04:22,200 Speaker 1: the number of. 87 00:04:22,080 --> 00:04:24,440 Speaker 2: Tru a little more than an hour. But yeah, yeah, 88 00:04:24,480 --> 00:04:26,919 Speaker 2: I get what you're saying. Number signs. 89 00:04:27,000 --> 00:04:31,000 Speaker 1: When we went to Cooperstown, Uh, my boys, my kids 90 00:04:31,400 --> 00:04:34,640 Speaker 1: were blown away by the number of Trump signs that 91 00:04:34,720 --> 00:04:37,839 Speaker 1: are everywhere all over New York. My point on that is, 92 00:04:38,320 --> 00:04:42,599 Speaker 1: Kathy Hochel has an opportunity next year, I think, to 93 00:04:42,640 --> 00:04:46,039 Speaker 1: make a run as New York City's governor because I 94 00:04:46,080 --> 00:04:48,240 Speaker 1: think Mom Donnie is gonna get out a lot of 95 00:04:48,320 --> 00:04:49,800 Speaker 1: voters outside of the. 96 00:04:49,880 --> 00:04:50,720 Speaker 2: New York City. 97 00:04:50,880 --> 00:04:54,160 Speaker 1: The metro area really goes for Like the radius is 98 00:04:54,160 --> 00:04:56,440 Speaker 1: at least an hour in the car in all directions, 99 00:04:56,440 --> 00:04:58,320 Speaker 1: but Cooperstown, which is a four hour drive. 100 00:04:58,400 --> 00:04:59,720 Speaker 2: Yes, that's absolutely true. 101 00:05:00,120 --> 00:05:04,600 Speaker 1: You get out into more of the rural parts of 102 00:05:04,640 --> 00:05:06,919 Speaker 1: the state, or you know, closer to rural parts of 103 00:05:06,960 --> 00:05:10,000 Speaker 1: the state, you get very read very quickly, and you 104 00:05:10,040 --> 00:05:12,039 Speaker 1: know there's a lot of people that like hunting and 105 00:05:12,080 --> 00:05:14,320 Speaker 1: they own I think that surprises a lot of people 106 00:05:14,360 --> 00:05:17,760 Speaker 1: who have spent no time because New York City overwhelms 107 00:05:17,800 --> 00:05:20,520 Speaker 1: the idea of New York State. Same thing, by the way, 108 00:05:20,600 --> 00:05:25,039 Speaker 1: Pennsylvania Philly and Pittsburgh to a certain extent, but you 109 00:05:25,240 --> 00:05:27,919 Speaker 1: drive around the state of Pennsylvania, I think Pennsylvania is 110 00:05:27,960 --> 00:05:30,719 Speaker 1: like the fourth most rural state in America, and it 111 00:05:30,880 --> 00:05:34,800 Speaker 1: astounds people because they think of Pennsylvania as being basically Philadelphia. 112 00:05:35,200 --> 00:05:39,960 Speaker 1: But that's my positive what I would say right now 113 00:05:40,560 --> 00:05:45,039 Speaker 1: is if you are looking for reasons of optimism Jack Chittarelli, 114 00:05:45,680 --> 00:05:49,799 Speaker 1: right now, if Republicans show up in big numbers tomorrow, 115 00:05:49,880 --> 00:05:52,520 Speaker 1: he's going to win. Now, they have to show up 116 00:05:52,560 --> 00:05:55,480 Speaker 1: in big numbers. But you can look at the voting 117 00:05:55,880 --> 00:05:58,480 Speaker 1: and maybe we get Ryan Gerdesky on tomorrow to talk 118 00:05:58,520 --> 00:06:01,120 Speaker 1: about this on election day because you can look at 119 00:06:01,120 --> 00:06:04,039 Speaker 1: the number of early votes they have party registration in 120 00:06:04,040 --> 00:06:08,080 Speaker 1: the New Jersey. I'm telling you that roughly party line. 121 00:06:08,160 --> 00:06:11,839 Speaker 1: Right now, Chittarelli is down about two hundred and fifty 122 00:06:11,920 --> 00:06:17,160 Speaker 1: thousand votes. So if Republicans in New Jersey show up 123 00:06:17,200 --> 00:06:21,120 Speaker 1: big on election day, Chittarelli can win. They are really 124 00:06:21,160 --> 00:06:25,880 Speaker 1: really nervous about that. Virginia, this AG's race is going 125 00:06:25,960 --> 00:06:29,839 Speaker 1: to be very close when some earl sears is behind, 126 00:06:30,200 --> 00:06:34,920 Speaker 1: but it's down ballot. Lieutenant governor looks winnable. Certainly AG 127 00:06:35,200 --> 00:06:38,440 Speaker 1: is winnable. And who knows if all of you out 128 00:06:38,440 --> 00:06:41,400 Speaker 1: there in deep red parts of Virginia, many of these 129 00:06:41,400 --> 00:06:44,200 Speaker 1: states buck as you well know, there's a huge difference. 130 00:06:44,920 --> 00:06:49,080 Speaker 1: I'm not sure any state has more variety in terms 131 00:06:49,160 --> 00:06:54,200 Speaker 1: of southwestern Virginia, which is as deep red as you 132 00:06:54,240 --> 00:06:58,360 Speaker 1: can possibly get, and northern Virginia, which is basically as 133 00:06:58,440 --> 00:06:59,599 Speaker 1: deep blue as. 134 00:06:59,440 --> 00:07:00,000 Speaker 2: You can get. 135 00:07:00,040 --> 00:07:04,200 Speaker 1: Yet we need everybody out there in Virginia to show 136 00:07:04,279 --> 00:07:05,279 Speaker 1: up in big numbers. 137 00:07:05,320 --> 00:07:05,520 Speaker 6: Two. 138 00:07:06,080 --> 00:07:08,599 Speaker 1: And if you're out there and you're saying, Okay, I'm 139 00:07:08,600 --> 00:07:12,240 Speaker 1: not really fired up about the candidates, maybe I get 140 00:07:12,240 --> 00:07:18,120 Speaker 1: out and vote, because they will certainly use any indication 141 00:07:18,400 --> 00:07:21,640 Speaker 1: of their wins to try to demean and tear down 142 00:07:21,760 --> 00:07:25,040 Speaker 1: Donald Trump one year after his election and say, look, 143 00:07:25,080 --> 00:07:27,240 Speaker 1: they're in trouble. There's no way that they can win. 144 00:07:27,280 --> 00:07:29,360 Speaker 1: We're getting out spending big numbers, but we have a 145 00:07:29,440 --> 00:07:30,679 Speaker 1: chance to pull a big upset. 146 00:07:31,160 --> 00:07:31,880 Speaker 2: You mentioned DC. 147 00:07:32,120 --> 00:07:35,960 Speaker 1: I thought this was an interesting exchange in the CBS 148 00:07:36,360 --> 00:07:40,640 Speaker 1: sixty Minutes sit down. Here is now Norah Donald lives 149 00:07:40,640 --> 00:07:44,200 Speaker 1: in DC, yep, And she had to be a little 150 00:07:44,280 --> 00:07:45,600 Speaker 1: cagy here because. 151 00:07:45,280 --> 00:07:48,560 Speaker 2: She knows if she does the DC's. 152 00:07:48,080 --> 00:07:50,960 Speaker 1: Really safe, everybody else in d C is gonna flip 153 00:07:51,040 --> 00:07:53,200 Speaker 1: out and be like, don't even try that. Okay, so 154 00:07:53,320 --> 00:07:56,640 Speaker 1: she can't do that. But remember Trump tried to start 155 00:07:56,720 --> 00:07:59,120 Speaker 1: with DC to make it safer, and now it hopes 156 00:07:59,160 --> 00:08:01,800 Speaker 1: to expand that time let out to other places. Here's 157 00:08:01,840 --> 00:08:05,720 Speaker 1: how this exchange went on safety, police security, d C 158 00:08:06,120 --> 00:08:06,760 Speaker 1: cut three. 159 00:08:07,000 --> 00:08:09,720 Speaker 5: How big a difference is DC now compared to what 160 00:08:09,800 --> 00:08:10,680 Speaker 5: it was a year ago? 161 00:08:11,280 --> 00:08:13,200 Speaker 3: Right? I mean, you have to be honest with me. 162 00:08:13,760 --> 00:08:16,560 Speaker 5: People walk people in the White House. They woke up 163 00:08:16,600 --> 00:08:19,360 Speaker 5: to me, young ladies. I've never seen sir thank you 164 00:08:19,520 --> 00:08:21,400 Speaker 5: very much. I know they don't even have to tell 165 00:08:21,440 --> 00:08:24,560 Speaker 5: me what they're thanking me for. But when I asked why, 166 00:08:24,600 --> 00:08:27,080 Speaker 5: he said one. You know, I said, I'd get into 167 00:08:27,200 --> 00:08:30,320 Speaker 5: Uber and I felt dangerous. Even in Uber they'd attacked 168 00:08:30,360 --> 00:08:34,640 Speaker 5: the car. Okay, it wasn't even safe. Then Sarah now 169 00:08:34,679 --> 00:08:37,880 Speaker 5: walked to work every day, and I walked, I'm so safe. 170 00:08:38,280 --> 00:08:40,520 Speaker 5: There's nothing going to happen, one hundred percent safe. 171 00:08:40,679 --> 00:08:41,720 Speaker 3: And you know that too. Normal. 172 00:08:41,720 --> 00:08:42,960 Speaker 4: I want to ask you about that. You live here, 173 00:08:43,000 --> 00:08:44,600 Speaker 4: you know that too. I want to ask you about 174 00:08:45,160 --> 00:08:48,040 Speaker 4: difference American city in Washington. 175 00:08:47,760 --> 00:08:47,959 Speaker 7: D C. 176 00:08:48,600 --> 00:08:50,480 Speaker 4: I think I've been working too hard. I haven't been 177 00:08:50,520 --> 00:08:51,079 Speaker 4: out and about. 178 00:08:51,160 --> 00:08:52,200 Speaker 2: That's not a fair answer. 179 00:08:52,200 --> 00:08:55,320 Speaker 4: You see, I get in my car and. 180 00:08:54,800 --> 00:08:58,959 Speaker 5: I had to use that one don't work. 181 00:08:59,040 --> 00:09:01,520 Speaker 4: It's like, you know, the different like day and night. 182 00:09:03,800 --> 00:09:07,320 Speaker 1: It's interesting that she she Clay a few years ago 183 00:09:07,679 --> 00:09:11,560 Speaker 1: or in an earlier era of sixty minutes and Trump 184 00:09:11,679 --> 00:09:14,400 Speaker 1: it would have been No, sir, Remember who was it 185 00:09:14,920 --> 00:09:19,840 Speaker 1: who did the This is CBS, and we can't verify 186 00:09:20,000 --> 00:09:22,480 Speaker 1: things like I think it was Leslie Stall who did 187 00:09:22,480 --> 00:09:24,480 Speaker 1: that whole thing the Trump during interview. Yes, we can't 188 00:09:24,520 --> 00:09:26,720 Speaker 1: say things that are not true. That they spied on 189 00:09:26,760 --> 00:09:28,880 Speaker 1: me was what Trump said, and that absolutely was true. 190 00:09:29,360 --> 00:09:31,080 Speaker 1: Now she has to sort of laugh it off with 191 00:09:31,160 --> 00:09:34,200 Speaker 1: like I work too much. No, Trump's idea is working, 192 00:09:34,240 --> 00:09:35,920 Speaker 1: and she doesn't want to admit it, but she also 193 00:09:36,000 --> 00:09:41,080 Speaker 1: can't just blatantly lie about it. Yes, and I saw 194 00:09:41,160 --> 00:09:43,480 Speaker 1: they have posted it. This is an example of what 195 00:09:43,520 --> 00:09:45,640 Speaker 1: we were talking about in that sixty minutes interview. Buck 196 00:09:46,040 --> 00:09:50,040 Speaker 1: they aired twenty seven minutes of the Trump interview. The 197 00:09:50,120 --> 00:09:54,240 Speaker 1: actual full length interview was seventy three minutes. So the 198 00:09:54,280 --> 00:09:58,079 Speaker 1: president of the United States talk to you for seventy 199 00:09:58,160 --> 00:09:58,840 Speaker 1: three minutes. 200 00:09:59,000 --> 00:09:59,920 Speaker 2: Good for CBS. 201 00:10:01,080 --> 00:10:04,520 Speaker 1: The change that has occurred since the last CBS interview 202 00:10:04,559 --> 00:10:07,440 Speaker 1: that I think is going to last long after Trump 203 00:10:07,559 --> 00:10:10,640 Speaker 1: is we're not going to claim that we have all 204 00:10:10,720 --> 00:10:13,400 Speaker 1: the control here and just make all the edits that 205 00:10:13,440 --> 00:10:16,880 Speaker 1: we want. We're going to show you the entirety of 206 00:10:17,120 --> 00:10:20,560 Speaker 1: this seventy three minute interview is all out there. If 207 00:10:20,600 --> 00:10:22,760 Speaker 1: you want to see Trump talk for seventy three minutes, 208 00:10:22,800 --> 00:10:25,360 Speaker 1: you have that ability. But think about the power that 209 00:10:25,400 --> 00:10:28,760 Speaker 1: they still have editorially to cut that to twenty seven minutes. 210 00:10:29,320 --> 00:10:31,800 Speaker 1: And I thought Trump handled that well. And to be 211 00:10:31,880 --> 00:10:35,760 Speaker 1: fair to Nora O'Donnell, as soon as she says the truth, 212 00:10:35,880 --> 00:10:39,920 Speaker 1: which is yeah, DC is way safer, people are going 213 00:10:40,000 --> 00:10:43,240 Speaker 1: to say, oh, she's in the tank for Trump, because 214 00:10:43,320 --> 00:10:48,160 Speaker 1: then she's endorsing his behavior in terms of calling out 215 00:10:48,160 --> 00:10:51,040 Speaker 1: the National Guard. I read a big article though in 216 00:10:51,080 --> 00:10:55,960 Speaker 1: the Wall Street Journal saying, Hey, this is absolutely fantastic 217 00:10:56,800 --> 00:11:00,880 Speaker 1: what's happening in Memphis, my home state. The number of 218 00:11:01,080 --> 00:11:06,839 Speaker 1: people out there that are really responding in a very 219 00:11:06,920 --> 00:11:15,160 Speaker 1: positive way is pretty pretty phenomenal. And I just think, 220 00:11:15,240 --> 00:11:18,920 Speaker 1: I mean again, for everybody out there that is living 221 00:11:18,920 --> 00:11:23,360 Speaker 1: in these cities Washington, DC, Memphis, very different cities, they're 222 00:11:23,400 --> 00:11:28,120 Speaker 1: way safer. And the concern for Democrats Buck is well, 223 00:11:28,640 --> 00:11:31,960 Speaker 1: if he's right, if he's what if he's right and 224 00:11:32,240 --> 00:11:35,080 Speaker 1: all of a sudden, violent crime is plummeting. Buck, I 225 00:11:35,120 --> 00:11:37,040 Speaker 1: watched did you see the video of the dad and 226 00:11:37,080 --> 00:11:41,079 Speaker 1: the little girl out trick or treating get carjacked in Chicago. 227 00:11:42,040 --> 00:11:43,480 Speaker 1: I don't know how many of you saw this video. 228 00:11:43,520 --> 00:11:45,200 Speaker 1: I think it's an Asian man. The video is like 229 00:11:45,240 --> 00:11:49,000 Speaker 1: a ring camera outside. He's got his the reports our 230 00:11:49,000 --> 00:11:52,160 Speaker 1: eight year old daughter. They pull up, they're just going 231 00:11:52,160 --> 00:11:55,520 Speaker 1: in the neighborhood. They park on the corner. Almost as 232 00:11:55,559 --> 00:11:58,480 Speaker 1: soon as they park, two guys come running up with 233 00:11:58,640 --> 00:12:02,680 Speaker 1: guns and take the take the car. This is a 234 00:12:02,800 --> 00:12:07,760 Speaker 1: dad in Chicago taking his little girl out trick or treating. 235 00:12:07,800 --> 00:12:08,079 Speaker 2: Again. 236 00:12:08,120 --> 00:12:10,400 Speaker 1: The video is out there for all of you to see. 237 00:12:10,679 --> 00:12:13,280 Speaker 1: You can watch him pull up and park his car, 238 00:12:13,960 --> 00:12:16,800 Speaker 1: and within a minute of him pulling up and parking 239 00:12:16,840 --> 00:12:19,920 Speaker 1: the car to start trick or treating, these guys come 240 00:12:20,000 --> 00:12:24,480 Speaker 1: running up with pistols and demand his keys. While at 241 00:12:24,600 --> 00:12:28,360 Speaker 1: everything else, It's all on a ring camera. And this 242 00:12:28,480 --> 00:12:31,360 Speaker 1: is just what people have grown used to experiencing. I 243 00:12:31,880 --> 00:12:33,840 Speaker 1: will say I saw a lot and this. A friend 244 00:12:33,840 --> 00:12:35,920 Speaker 1: of mine shared his own version of this because of 245 00:12:35,920 --> 00:12:40,319 Speaker 1: all these ring cameras, where where kids with the parents 246 00:12:40,920 --> 00:12:45,600 Speaker 1: pilfer Yes, the steel that says take one each, just 247 00:12:45,600 --> 00:12:49,840 Speaker 1: just fill their bags. That that is disgusting. Dad is disgusting. 248 00:12:49,880 --> 00:12:53,360 Speaker 1: I agree, and and and the parents that are there 249 00:12:53,400 --> 00:12:58,840 Speaker 1: for this stuff should be a shame. I suspect that 250 00:12:58,880 --> 00:13:01,320 Speaker 1: has been happening for a long time. But now that 251 00:13:01,440 --> 00:13:04,880 Speaker 1: everybody has video on doorbell cameras, we can see we 252 00:13:04,920 --> 00:13:06,679 Speaker 1: should have some fun talking about that, because I do 253 00:13:06,720 --> 00:13:09,160 Speaker 1: think you might say, well, why does that matter. I 254 00:13:09,200 --> 00:13:13,040 Speaker 1: do think, particularly when the parents are involved, it's just 255 00:13:13,120 --> 00:13:15,800 Speaker 1: a sign of a low trust cultural society. But you 256 00:13:15,840 --> 00:13:19,040 Speaker 1: talked about in Taiwan, people leave their phones to save 257 00:13:19,120 --> 00:13:22,560 Speaker 1: their seats while they go to the bathroom, and every parent. 258 00:13:22,640 --> 00:13:24,720 Speaker 1: I've had to talk to my son about this, Like 259 00:13:24,760 --> 00:13:26,840 Speaker 1: he went to the bathroom recently and I was like, no, 260 00:13:27,040 --> 00:13:29,080 Speaker 1: he left his phone on the table and I said, 261 00:13:29,080 --> 00:13:31,600 Speaker 1: you know, you can never do that when you go 262 00:13:31,640 --> 00:13:33,880 Speaker 1: to the bathroom. He's like, well, I want the waitress 263 00:13:33,920 --> 00:13:36,920 Speaker 1: to know that I'm still here and that I haven't left, 264 00:13:36,920 --> 00:13:38,640 Speaker 1: so she doesn't take my food. I'm like, that makes 265 00:13:38,679 --> 00:13:41,319 Speaker 1: total sense. I understand it. You can never leave your 266 00:13:41,360 --> 00:13:44,360 Speaker 1: cell phone on the table in a restaurant in America 267 00:13:44,800 --> 00:13:48,440 Speaker 1: because we live in unfortunately a low trust society. I 268 00:13:48,480 --> 00:13:51,880 Speaker 1: think stealing of all that candy, like somebody just saying hey, 269 00:13:51,960 --> 00:13:55,280 Speaker 1: please take one, and you take the whole thing. It's 270 00:13:55,360 --> 00:13:58,320 Speaker 1: evidence of a low trust society and a culture that 271 00:13:58,600 --> 00:14:03,720 Speaker 1: unfortunately is with a great deal of rot. Unfortunately bad cultures. 272 00:14:04,320 --> 00:14:06,040 Speaker 1: One thing they all have in common is they don't 273 00:14:06,080 --> 00:14:08,920 Speaker 1: think about other people. It's true all over the world right. 274 00:14:09,000 --> 00:14:11,640 Speaker 1: A culture that is not something that you want to emulate, 275 00:14:12,160 --> 00:14:14,960 Speaker 1: does not care. It is inconsiderate. That is one thing 276 00:14:15,000 --> 00:14:16,959 Speaker 1: that they have in common. And I will tell you 277 00:14:17,000 --> 00:14:19,240 Speaker 1: when I was in Taiwan, I thought when I was 278 00:14:19,280 --> 00:14:20,880 Speaker 1: on the high speed train a few times, one time 279 00:14:20,880 --> 00:14:23,800 Speaker 1: I was going down to the military base, I thought, Clay, 280 00:14:23,840 --> 00:14:26,560 Speaker 1: I was in a quiet car, which is a wonderful 281 00:14:26,600 --> 00:14:29,200 Speaker 1: place of civilization on the Acella train. For those of 282 00:14:29,240 --> 00:14:32,520 Speaker 1: you who've ever taken that, it's like the only profitable 283 00:14:32,680 --> 00:14:35,240 Speaker 1: Amtrak corridor is Boston to DC and they have this 284 00:14:35,320 --> 00:14:36,480 Speaker 1: quiet car on that train. 285 00:14:37,160 --> 00:14:38,400 Speaker 2: I wasn't a quiet car. 286 00:14:38,760 --> 00:14:40,880 Speaker 1: I was just in a car full of Taiwanese people 287 00:14:41,040 --> 00:14:45,320 Speaker 1: who are respectful and calm and don't play speakerphone conversations 288 00:14:45,320 --> 00:14:49,480 Speaker 1: out loud, and don't play music and video games without headphones. Yeah, 289 00:14:49,640 --> 00:14:51,920 Speaker 1: it's not a quiet car. It's just a car full 290 00:14:51,920 --> 00:14:55,000 Speaker 1: of Taiwanese people, and it was really nice. And let 291 00:14:55,000 --> 00:14:56,800 Speaker 1: me tell you this thing that's going on in this 292 00:14:56,840 --> 00:15:01,040 Speaker 1: country where people look, oh, it's classist or whatever. It No, No, 293 00:15:01,320 --> 00:15:05,520 Speaker 1: it's just manners. It's just manners. Well, it's an ability 294 00:15:05,600 --> 00:15:08,280 Speaker 1: to understand that you aren't the only person in the world. 295 00:15:08,960 --> 00:15:12,360 Speaker 1: And I mean the older I get, the more I 296 00:15:12,400 --> 00:15:16,680 Speaker 1: look around. And culture explains almost everything, but high You 297 00:15:16,720 --> 00:15:21,920 Speaker 1: mentioned high trust societies civilization, and a high trust society 298 00:15:21,960 --> 00:15:26,160 Speaker 1: within a civilization is premised upon it can't just be 299 00:15:26,560 --> 00:15:30,920 Speaker 1: about your needs. Yes, there have to be other things. 300 00:15:31,160 --> 00:15:34,200 Speaker 1: There are rules, there are laws, there are social mores, 301 00:15:34,240 --> 00:15:36,640 Speaker 1: there are other things that factor. Anyway, who to the 302 00:15:36,680 --> 00:15:39,840 Speaker 1: whole show on this, don't get me started. The candy, 303 00:15:40,280 --> 00:15:43,680 Speaker 1: the candy swindlers stealing all the candy at once with 304 00:15:43,840 --> 00:15:47,920 Speaker 1: their parents, I know, appalling. 305 00:15:47,400 --> 00:15:49,280 Speaker 2: It would also be interesting, buck Well, you got to 306 00:15:49,280 --> 00:15:49,720 Speaker 2: go to break. 307 00:15:49,760 --> 00:15:52,880 Speaker 1: But if you layered that over future success in life, 308 00:15:52,960 --> 00:15:57,200 Speaker 1: I bet the kids overwhelmingly underperformed because the culture that 309 00:15:57,240 --> 00:16:00,960 Speaker 1: their parents have created is one that allows that to occur, 310 00:16:01,400 --> 00:16:03,520 Speaker 1: and it's going to ultimately end up hurting the kids 311 00:16:03,520 --> 00:16:05,920 Speaker 1: in the years ahead. 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Spend time with Clay and 330 00:17:00,800 --> 00:17:04,800 Speaker 7: find them on the free iHeartRadio app or wherever you 331 00:17:04,920 --> 00:17:06,000 Speaker 7: get your podcasts. 332 00:17:06,240 --> 00:17:09,720 Speaker 1: Welcome back in Clay, Travis buck Sexton, show Mark simone 333 00:17:09,720 --> 00:17:12,919 Speaker 1: of our great affiliate war in New York City about 334 00:17:12,960 --> 00:17:16,120 Speaker 1: to be with us to talk about the race New 335 00:17:16,200 --> 00:17:20,320 Speaker 1: York City mayor also New Jersey as this is a 336 00:17:20,440 --> 00:17:26,160 Speaker 1: huge story voting underway here shortly on officially election day, 337 00:17:26,240 --> 00:17:30,679 Speaker 1: we will break all that around down for you in 338 00:17:30,720 --> 00:17:33,600 Speaker 1: the meantime. I'm in a hotel room right now, and 339 00:17:33,640 --> 00:17:36,240 Speaker 1: this is one hundred percent true. Last night I was 340 00:17:36,280 --> 00:17:39,159 Speaker 1: trying to sleep and they got that awful sheet that 341 00:17:39,280 --> 00:17:41,960 Speaker 1: now is completely embedded in the fit comforter. You know 342 00:17:42,000 --> 00:17:44,600 Speaker 1: what I'm talking about, where like you can't have just 343 00:17:44,640 --> 00:17:46,920 Speaker 1: a comforter and a sheet. This is the worst design ever. 344 00:17:48,200 --> 00:17:50,119 Speaker 1: I mean, I don't understand this at all. You can't 345 00:17:50,119 --> 00:17:53,080 Speaker 1: get you're either too hot or too cold because they've 346 00:17:53,119 --> 00:17:56,159 Speaker 1: completely integrated both. And I was thinking to myself, I 347 00:17:56,160 --> 00:17:58,520 Speaker 1: need my Cozy Arth sheets because if I had my 348 00:17:58,640 --> 00:18:01,520 Speaker 1: Cozy Arth sheets, I would be able to moderate the 349 00:18:01,560 --> 00:18:05,160 Speaker 1: hot and cold. 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You 358 00:18:36,680 --> 00:18:41,960 Speaker 1: can get blankets, clothing, furniture, everything at cozyarth dot com. 359 00:18:42,000 --> 00:18:45,840 Speaker 1: My name Clay for forty percent off everything right now, 360 00:18:46,040 --> 00:18:50,000 Speaker 1: that's cozyerth dot com. My name Clay for forty percent 361 00:18:50,080 --> 00:18:55,200 Speaker 1: off cozyearth dot com. Welcome back in Clay Travis buck 362 00:18:55,280 --> 00:19:00,920 Speaker 1: Sexton Show. We are breaking down election day tomorrow and 363 00:19:00,960 --> 00:19:04,240 Speaker 1: we are joined by our friend Mark Simone Bock. I'm 364 00:19:04,240 --> 00:19:06,800 Speaker 1: going to hold up the iPad here so you can wait, 365 00:19:06,920 --> 00:19:10,359 Speaker 1: so you can wave to him in studio right now. 366 00:19:10,760 --> 00:19:11,560 Speaker 3: Oh there he is. 367 00:19:11,720 --> 00:19:15,080 Speaker 1: Yeah, there is in New York in Miami. But you 368 00:19:15,119 --> 00:19:18,200 Speaker 1: guys have known each other for a long time. Let's 369 00:19:18,200 --> 00:19:20,920 Speaker 1: start off here, Mark, I was just talking about off 370 00:19:20,960 --> 00:19:23,720 Speaker 1: the air with you. You have done a lot of 371 00:19:23,800 --> 00:19:27,400 Speaker 1: election days in New York City over the years. How 372 00:19:27,400 --> 00:19:30,639 Speaker 1: would you break down the New Jersey race just across 373 00:19:30,680 --> 00:19:34,399 Speaker 1: the river here with so many people out and the 374 00:19:34,480 --> 00:19:37,000 Speaker 1: close race there, and what do you expect to see 375 00:19:37,000 --> 00:19:40,360 Speaker 1: in New York City big picture? Where are we about? 376 00:19:40,400 --> 00:19:43,919 Speaker 1: What twelve hours or so until election day. 377 00:19:43,880 --> 00:19:47,160 Speaker 3: New Jersey, you cannot predict it's so close, and don't 378 00:19:47,200 --> 00:19:49,840 Speaker 3: trust these public polls. These public polls are pretty cheap 379 00:19:49,880 --> 00:19:53,480 Speaker 3: and flimsy, so we can't tell by that it looks 380 00:19:53,480 --> 00:19:56,560 Speaker 3: like it's deadlocked. I would think that the campaign of 381 00:19:56,640 --> 00:20:00,840 Speaker 3: Mikey Cheryl had some serious internal polling, and they because 382 00:20:01,119 --> 00:20:03,119 Speaker 3: Obama had endorsed her a couple of weeks ago with 383 00:20:03,160 --> 00:20:05,800 Speaker 3: a video that was the endorsement. Now they called them 384 00:20:05,800 --> 00:20:08,360 Speaker 3: in panic to come running into New Jersey and go 385 00:20:08,720 --> 00:20:12,240 Speaker 3: actually campaign and hold rallies for her. So that means 386 00:20:12,320 --> 00:20:16,320 Speaker 3: Chittarelly was very close, if not slightly ahead. One good 387 00:20:16,320 --> 00:20:19,399 Speaker 3: thing about New Jersey they never go three terms with 388 00:20:19,480 --> 00:20:23,440 Speaker 3: any one party, so they're due for a Republican switch now. 389 00:20:23,440 --> 00:20:27,080 Speaker 3: They always do that in New Jersey, and you got 390 00:20:27,119 --> 00:20:30,680 Speaker 3: two candidates. Chittarelli is a good candidate. Mikey Cheryl very 391 00:20:30,800 --> 00:20:32,760 Speaker 3: very weak. Her whole campaign is that she was in 392 00:20:32,800 --> 00:20:35,600 Speaker 3: the Navy and she flew a helicopter, and they even 393 00:20:35,600 --> 00:20:38,639 Speaker 3: rented a helicopter to show that she can fly a helicopter. 394 00:20:39,119 --> 00:20:41,080 Speaker 3: I don't know if this is even in the job description. 395 00:20:41,760 --> 00:20:43,919 Speaker 3: She should probably go join the state troopers. They have 396 00:20:44,000 --> 00:20:46,840 Speaker 3: helicopters they use. It doesn't mean that he as governor, 397 00:20:46,880 --> 00:20:50,800 Speaker 3: but I would think in the end, Chitdarelli wins. It's 398 00:20:50,840 --> 00:20:54,480 Speaker 3: deadl like, but he always underpolls, and everybody's got to 399 00:20:54,480 --> 00:20:56,840 Speaker 3: get out there and vote in New Jersey, every Republican 400 00:20:56,920 --> 00:21:00,000 Speaker 3: get out there and vote. And again they always switch 401 00:21:00,080 --> 00:21:03,080 Speaker 3: parties every couple terms. So I think he wins that 402 00:21:04,080 --> 00:21:08,760 Speaker 3: New York mayol race. Again, you can't tell it's we 403 00:21:08,840 --> 00:21:12,680 Speaker 3: expected seven eight hundred thousand votes in this election. We're 404 00:21:12,720 --> 00:21:15,600 Speaker 3: already at almost a million in the early voting. We'll 405 00:21:15,600 --> 00:21:19,359 Speaker 3: get a million tomorrow. It'll go over two million. The 406 00:21:19,480 --> 00:21:22,600 Speaker 3: model the polsters used did not count on that at all. 407 00:21:23,480 --> 00:21:25,960 Speaker 3: Incredible turnout. Last time we saw a turnout like this 408 00:21:26,080 --> 00:21:30,720 Speaker 3: was like sixty years ago, John Lindsay. So it's hard 409 00:21:30,720 --> 00:21:33,600 Speaker 3: to say who are these extra people turning out. I 410 00:21:33,640 --> 00:21:36,439 Speaker 3: mean anecdotal evidences. They're older voters that tends to go 411 00:21:36,520 --> 00:21:40,840 Speaker 3: for Cuomo or Curtis. And again here's the other thing, 412 00:21:40,960 --> 00:21:43,440 Speaker 3: but the poles can't measure this. A lot of these 413 00:21:43,480 --> 00:21:47,120 Speaker 3: Mom Donnie voters are first time voters. They're not even 414 00:21:47,160 --> 00:21:49,960 Speaker 3: on the radar of polsters. Posters wouldn't even know where 415 00:21:49,960 --> 00:21:52,520 Speaker 3: to find these people, so they're not counted in the pulsar. 416 00:21:52,600 --> 00:21:55,280 Speaker 3: Anything can happen. I hate to be wishing. I'm Mark. 417 00:21:55,520 --> 00:21:58,040 Speaker 1: Yeah, Mark, I got to ask you about this one 418 00:21:58,440 --> 00:22:00,959 Speaker 1: as a South Florida resident. Now, this is certainly on 419 00:22:01,000 --> 00:22:04,920 Speaker 1: my radar. New York Post nearly a million New Yorkers 420 00:22:05,040 --> 00:22:07,880 Speaker 1: claim they are ready to flee New York City if 421 00:22:07,920 --> 00:22:12,720 Speaker 1: Mom Donnie becomes mayor seven hundred and sixty five thousand 422 00:22:12,760 --> 00:22:14,639 Speaker 1: of the eight and a half million residents of New 423 00:22:14,680 --> 00:22:19,000 Speaker 1: York City. Do you think they'll be if Mom Donnie wins, 424 00:22:19,320 --> 00:22:21,280 Speaker 1: which you know it could happen. I know you're saying, 425 00:22:21,320 --> 00:22:24,800 Speaker 1: nobody knows it could happen. Do you think there'll be 426 00:22:24,840 --> 00:22:27,400 Speaker 1: an outflow from New York or is this stuff all overblown? 427 00:22:29,160 --> 00:22:31,160 Speaker 3: If there is, then Mom Donnie at least will get 428 00:22:31,160 --> 00:22:33,440 Speaker 3: credit for solving the traffic problem here in New York. 429 00:22:33,640 --> 00:22:34,520 Speaker 2: Good luck there you go. 430 00:22:34,600 --> 00:22:39,560 Speaker 3: But already in the out the suburbs of Connecticut, we've 431 00:22:39,560 --> 00:22:43,160 Speaker 3: already seen home people out there looking for homes like crazy. 432 00:22:43,520 --> 00:22:45,880 Speaker 3: Even the private schools in Connecticut of all sorts of 433 00:22:45,960 --> 00:22:48,920 Speaker 3: New Yorkers trying to register their kids. So people are 434 00:22:48,920 --> 00:22:52,119 Speaker 3: looking at it you gotta remember under Cuomo we had 435 00:22:52,119 --> 00:22:54,880 Speaker 3: the same problem. We lost a few million people under Cuomo. 436 00:22:54,960 --> 00:22:57,600 Speaker 3: He's bad policies. And in fact, under Cuomo we lost 437 00:22:57,600 --> 00:23:00,720 Speaker 3: four congressional seats and there was one year where you 438 00:23:00,760 --> 00:23:03,160 Speaker 3: couldn't get a moving van. There was a shortage of them. 439 00:23:03,200 --> 00:23:07,639 Speaker 3: So we've been through it before. You gotta wait and 440 00:23:07,640 --> 00:23:09,840 Speaker 3: see what happens if Mom Donnie wins. I don't. I 441 00:23:09,880 --> 00:23:12,800 Speaker 3: don't know. There may be people moving at but I 442 00:23:12,800 --> 00:23:14,679 Speaker 3: think at a slower pace than you think. And you 443 00:23:14,720 --> 00:23:17,480 Speaker 3: read about these businesses, a big Wall Street firms they're 444 00:23:17,480 --> 00:23:20,359 Speaker 3: opening in Dallas, and most of that is back office 445 00:23:20,400 --> 00:23:22,400 Speaker 3: stuff that they would have been opening there anyway. 446 00:23:23,680 --> 00:23:25,159 Speaker 2: Now, what is your biggest concern? 447 00:23:25,200 --> 00:23:25,360 Speaker 3: Though? 448 00:23:25,359 --> 00:23:28,720 Speaker 1: If Mom Donnie wins, one question we've been banning about 449 00:23:28,720 --> 00:23:32,399 Speaker 1: here is what can he really do that's really bad? 450 00:23:32,520 --> 00:23:32,680 Speaker 2: Right? 451 00:23:32,720 --> 00:23:35,439 Speaker 1: Some of the stuff that he's saying, it's like listening 452 00:23:35,520 --> 00:23:37,800 Speaker 1: to the guy who's running for student council president in 453 00:23:37,880 --> 00:23:39,720 Speaker 1: high school who's like, and we're gonna have like a 454 00:23:39,800 --> 00:23:43,320 Speaker 1: jacuzzi in every classroom, and you know it, it's absurdly 455 00:23:43,640 --> 00:23:44,439 Speaker 1: not gonna happen. 456 00:23:44,800 --> 00:23:46,520 Speaker 2: But there are things that is mayor he would be 457 00:23:46,520 --> 00:23:47,000 Speaker 2: able to do. 458 00:23:47,560 --> 00:23:50,240 Speaker 1: What are the concerns that you have, Mark about if 459 00:23:50,280 --> 00:23:53,160 Speaker 1: this guy does end up as the mayor, he would 460 00:23:53,200 --> 00:23:55,240 Speaker 1: be able to really make a mess of things. 461 00:23:55,280 --> 00:23:57,400 Speaker 3: How Yeah, he has no control over the buses, that's 462 00:23:57,400 --> 00:24:00,000 Speaker 3: the state. He has no control over rent anything, taxes, 463 00:24:00,119 --> 00:24:03,440 Speaker 3: that that's the city council. The one concern and it's 464 00:24:03,480 --> 00:24:05,720 Speaker 3: the only one. The big one is the police department. 465 00:24:05,960 --> 00:24:08,399 Speaker 3: He could put in a really bad police commissioner, a 466 00:24:08,400 --> 00:24:11,720 Speaker 3: real left wing kook of a police commissioner who could 467 00:24:11,760 --> 00:24:14,479 Speaker 3: stop enforcing certain laws, pull back the police, and all 468 00:24:14,560 --> 00:24:15,200 Speaker 3: kinds of things. 469 00:24:15,800 --> 00:24:17,840 Speaker 1: I'm glad you mentioned that, Mark, because I was reading 470 00:24:17,880 --> 00:24:18,720 Speaker 1: over the weekend. 471 00:24:19,240 --> 00:24:19,480 Speaker 6: Mom. 472 00:24:19,560 --> 00:24:22,480 Speaker 1: Donnie keeps saying I'm going to keep Jessica Tish in. 473 00:24:23,240 --> 00:24:25,000 Speaker 1: But then he got pressed on it. I don't know 474 00:24:25,040 --> 00:24:26,679 Speaker 1: if you saw this, Buck, because I know you've known 475 00:24:26,760 --> 00:24:29,879 Speaker 1: Jessica Tish for a long time. He got pressed on 476 00:24:29,960 --> 00:24:32,960 Speaker 1: it and he said, well, I haven't actually spoken to 477 00:24:33,000 --> 00:24:36,320 Speaker 1: her and asked her to stay. Yeah, so he keeps 478 00:24:36,359 --> 00:24:39,040 Speaker 1: saying to try to make people think, oh, she's done 479 00:24:39,040 --> 00:24:41,640 Speaker 1: a good job. New York is safer because she's arresting 480 00:24:41,680 --> 00:24:44,800 Speaker 1: people and she has done a really good job. But Buck, 481 00:24:44,880 --> 00:24:48,480 Speaker 1: he hasn't even spoken to her. So, I mean, all 482 00:24:48,520 --> 00:24:51,800 Speaker 1: the time you spend campaigning and you've never been able 483 00:24:51,960 --> 00:24:53,879 Speaker 1: or willing to go talk to the head of the 484 00:24:54,040 --> 00:24:57,280 Speaker 1: NYPD and ask her to stay on. Now, the answer 485 00:24:57,400 --> 00:25:00,199 Speaker 1: might be that if that were to occur, or she 486 00:25:00,240 --> 00:25:02,439 Speaker 1: would say, well, it's inappropriate for me to talk and 487 00:25:02,480 --> 00:25:05,360 Speaker 1: accept jobs from people who haven't won offices. But at 488 00:25:05,359 --> 00:25:07,720 Speaker 1: a minimum, shouldn't he have just conveyed that offer. Don't 489 00:25:07,720 --> 00:25:09,360 Speaker 1: you think that would make sense if he really thought 490 00:25:09,400 --> 00:25:10,440 Speaker 1: she was doing a great job. 491 00:25:10,520 --> 00:25:13,280 Speaker 3: Mark, We've all been at the radio stations where the 492 00:25:13,440 --> 00:25:16,120 Speaker 3: new owner comes in, We're going to keep everybody, Yeah, 493 00:25:16,160 --> 00:25:17,800 Speaker 3: and they do for about a month or two. 494 00:25:18,440 --> 00:25:19,720 Speaker 2: So that could be the case. 495 00:25:20,200 --> 00:25:21,720 Speaker 3: And there are a lot of people saying if he 496 00:25:21,880 --> 00:25:24,719 Speaker 3: starts playing around with the police department doing stuff like that, 497 00:25:25,040 --> 00:25:27,280 Speaker 3: she wouldn't stay. She wants to run for mayor someday, 498 00:25:27,520 --> 00:25:30,000 Speaker 3: so if she sees anything bad happening with the police department, 499 00:25:30,000 --> 00:25:32,040 Speaker 3: she will leave it immediately. She's not going to get 500 00:25:32,040 --> 00:25:35,560 Speaker 3: tied to him. You know, we saw that with Deblasio. 501 00:25:36,440 --> 00:25:39,600 Speaker 3: Those kind of you know, those crazy ideas of domestic violence, 502 00:25:39,600 --> 00:25:42,760 Speaker 3: which are the most dangerous calls having a social worker respond. 503 00:25:43,520 --> 00:25:46,240 Speaker 3: You know, people don't point out the NYPD has tested 504 00:25:46,280 --> 00:25:49,720 Speaker 3: that about fifteen times over the last thirty years and 505 00:25:49,760 --> 00:25:51,600 Speaker 3: it always ends in dead social workers. 506 00:25:51,680 --> 00:25:55,440 Speaker 1: Yeah, yeah, that's not a surprise. I mean the emotionally 507 00:25:55,440 --> 00:25:59,400 Speaker 1: disturbed person EDP, which is the NYPD shorthand for it. Yeah, 508 00:25:59,640 --> 00:26:02,480 Speaker 1: is a call that cops get a lot, and it's 509 00:26:02,480 --> 00:26:04,719 Speaker 1: not an easy call if people don't even realize. 510 00:26:04,720 --> 00:26:04,920 Speaker 2: Mark. 511 00:26:05,200 --> 00:26:07,920 Speaker 1: Sometimes a copp will show up and someone is suicidal, 512 00:26:07,920 --> 00:26:10,520 Speaker 1: whether they're gonna jump or they're gonna, you know, take 513 00:26:10,560 --> 00:26:13,240 Speaker 1: their own life with a firearm. Sometimes they decide they're 514 00:26:13,240 --> 00:26:15,040 Speaker 1: gonna take somebody with them right before they go. So 515 00:26:15,080 --> 00:26:19,439 Speaker 1: it's actually a very high stress and difficult situation, very 516 00:26:19,480 --> 00:26:21,960 Speaker 1: dangerous situation. And to your point, the notion that you 517 00:26:21,960 --> 00:26:25,600 Speaker 1: would just send a social worker to try to tell somebody, hey, 518 00:26:25,600 --> 00:26:27,320 Speaker 1: you know, get away from the edge of the bridge. 519 00:26:27,880 --> 00:26:29,680 Speaker 1: Sometimes they grab people and try to pull them off 520 00:26:29,680 --> 00:26:31,280 Speaker 1: the edge of the bridge with them. So, you know, 521 00:26:31,359 --> 00:26:32,800 Speaker 1: this is what the cops have to deal with on 522 00:26:33,160 --> 00:26:35,560 Speaker 1: unfortunately a far through regular basis. So we got the 523 00:26:35,600 --> 00:26:40,200 Speaker 1: Mamdani situation playing out here. Cuomo and Sliwa, how much 524 00:26:40,320 --> 00:26:43,240 Speaker 1: of Sleewa's staying in Mark. I know, you know Curtis 525 00:26:43,280 --> 00:26:45,720 Speaker 1: personally well a long time. We had him on the 526 00:26:45,720 --> 00:26:48,600 Speaker 1: show last week he made his case and we heard 527 00:26:48,640 --> 00:26:51,080 Speaker 1: him out on this How much of what we're seeing 528 00:26:51,200 --> 00:26:53,880 Speaker 1: is just these two guys just can't stand each other, 529 00:26:53,960 --> 00:26:57,879 Speaker 1: you know, Cuomo and Cuomo and Sliwa. There's real personal beef. 530 00:26:58,560 --> 00:27:01,840 Speaker 3: Yeah, nobody likes Quoma. They all everybody voting for tell 531 00:27:01,840 --> 00:27:03,399 Speaker 3: you how much they hate this guy. He did so 532 00:27:03,520 --> 00:27:06,200 Speaker 3: much damage to New York Is because they hate this guy. 533 00:27:06,480 --> 00:27:08,800 Speaker 3: But it's like, what was that Remember the election in 534 00:27:08,840 --> 00:27:11,399 Speaker 3: the New Orleans where the guy was in prison. He 535 00:27:11,480 --> 00:27:12,840 Speaker 3: just got out of prison with the worst guy in 536 00:27:12,840 --> 00:27:14,840 Speaker 3: the world. But he was running against David Duke, so 537 00:27:14,880 --> 00:27:18,360 Speaker 3: you had to vote for this ex con. But Curtis. 538 00:27:19,440 --> 00:27:22,120 Speaker 3: I talked to Curtis earlier today. You know this thing 539 00:27:22,119 --> 00:27:24,280 Speaker 3: about getting out of the race a week ago. He 540 00:27:24,320 --> 00:27:26,119 Speaker 3: couldn't get out of the race if he wanted to. 541 00:27:26,160 --> 00:27:28,400 Speaker 3: He can't take his name off the ballot. And if 542 00:27:28,400 --> 00:27:31,160 Speaker 3: you look at the ballot, this is another problem. It's Mom, 543 00:27:31,240 --> 00:27:33,320 Speaker 3: Donnie and Curtis. Those are the two names at the 544 00:27:33,320 --> 00:27:35,840 Speaker 3: top of the ballot. Cuomo is eight spaces down. You 545 00:27:35,920 --> 00:27:37,840 Speaker 3: got to go hunt for him on the ballot, and 546 00:27:37,880 --> 00:27:40,120 Speaker 3: this whole thing is Coloma's fault. Had he been any 547 00:27:40,160 --> 00:27:42,639 Speaker 3: good in the primary, he would have beaten Mom Donnie. 548 00:27:42,720 --> 00:27:45,440 Speaker 3: Cuomo was a total disaster in the primary, got wiped 549 00:27:45,480 --> 00:27:48,679 Speaker 3: out in two debates, never campaigned, so he got us 550 00:27:48,680 --> 00:27:51,840 Speaker 3: in this position. Curtis has been offered all kinds of 551 00:27:51,840 --> 00:27:54,320 Speaker 3: bribes to get out. The largest was ten million. 552 00:27:54,400 --> 00:27:56,439 Speaker 1: He told us that on the air last week. So 553 00:27:57,400 --> 00:27:59,800 Speaker 1: Buck asked a good like, Let's pretend you've lived here 554 00:27:59,800 --> 00:28:04,200 Speaker 1: a long time. Let's say you wake up tomorrow morning, uh, 555 00:28:04,240 --> 00:28:06,679 Speaker 1: and Mom Donnie goes and wins, and you wake up 556 00:28:06,720 --> 00:28:08,600 Speaker 1: on Wednesday, your thought is going to be. 557 00:28:08,600 --> 00:28:12,480 Speaker 3: What, Uh, Well, at least we stopped quick I'm a 558 00:28:12,560 --> 00:28:13,320 Speaker 3: show to go talk. 559 00:28:13,520 --> 00:28:13,639 Speaker 5: Uh. 560 00:28:14,320 --> 00:28:17,560 Speaker 3: You know, actually we don't want Mom Donnie to win, 561 00:28:17,640 --> 00:28:19,400 Speaker 3: But for us, it would probably be the best thing. 562 00:28:19,400 --> 00:28:21,520 Speaker 3: We'd have plenty to talk about every day. It'd be 563 00:28:21,560 --> 00:28:23,800 Speaker 3: like the pandemic. You know, I got my highest ratings 564 00:28:23,880 --> 00:28:26,640 Speaker 3: during the pandemic. Yeah, people were terrified. They'd listen every 565 00:28:26,720 --> 00:28:29,040 Speaker 3: day to know what was Hipso yeah, we'd have our 566 00:28:29,040 --> 00:28:29,680 Speaker 3: greatest ratings. 567 00:28:29,680 --> 00:28:32,280 Speaker 1: Well, in sanity was so rare, as Buck knows, living 568 00:28:32,320 --> 00:28:35,199 Speaker 1: in the New York City apartments, Like everybody was losing 569 00:28:35,200 --> 00:28:37,960 Speaker 1: their minds and there were very few people speaking saying 570 00:28:38,240 --> 00:28:40,920 Speaker 1: but so if he wins, Buck asked a version of 571 00:28:40,960 --> 00:28:43,640 Speaker 1: this question. But I do think what would be your positive? 572 00:28:43,680 --> 00:28:45,800 Speaker 1: Do you buy in to buy argument that it helps 573 00:28:45,800 --> 00:28:47,360 Speaker 1: in the governor's race? 574 00:28:47,440 --> 00:28:48,000 Speaker 2: Potentially? 575 00:28:48,600 --> 00:28:51,400 Speaker 1: Uh, that Kathy Hokel would have an issue maybe with 576 00:28:51,440 --> 00:28:54,280 Speaker 1: a least Stephonic it hurts maybe nationally in the House, 577 00:28:54,320 --> 00:28:56,880 Speaker 1: in the Senate if he wins. If Mom, Donnie, we 578 00:28:56,920 --> 00:28:58,880 Speaker 1: wake up on Wednesday and he is the gut is 579 00:28:58,880 --> 00:29:02,160 Speaker 1: the elected mayor elect of New York City, how do 580 00:29:02,200 --> 00:29:03,000 Speaker 1: you been assessing? 581 00:29:03,120 --> 00:29:05,440 Speaker 3: Yeah, you're asolutely right. It's going to help everything, to 582 00:29:05,440 --> 00:29:07,880 Speaker 3: help the midterms, is going to help Republicans to be great. 583 00:29:08,200 --> 00:29:10,640 Speaker 3: But we'll get wiped out. But it's like your whole 584 00:29:10,640 --> 00:29:12,920 Speaker 3: house burns down, but it's good for the fire departments 585 00:29:12,920 --> 00:29:16,480 Speaker 3: helping them. But I would tell people we got through 586 00:29:16,560 --> 00:29:19,720 Speaker 3: eight years of Deblasio. It was bad, but we got 587 00:29:19,720 --> 00:29:22,840 Speaker 3: through it in one piece. And most of the Mamdani 588 00:29:22,920 --> 00:29:25,840 Speaker 3: team there ex Deblasio teams, so it'd be a lot 589 00:29:25,880 --> 00:29:26,720 Speaker 3: like Deblasio. 590 00:29:27,720 --> 00:29:29,840 Speaker 1: What would you say, Mark, because you were willing, I 591 00:29:29,840 --> 00:29:32,680 Speaker 1: remember we talked, when Eric Adams first came into office, 592 00:29:32,920 --> 00:29:35,160 Speaker 1: you're willing to give him a chance to do good 593 00:29:35,160 --> 00:29:37,480 Speaker 1: things for the city. What would be your you know, 594 00:29:37,520 --> 00:29:40,720 Speaker 1: a to f your grade. He dropped out of the race. 595 00:29:40,760 --> 00:29:42,640 Speaker 1: He knows he can't win, so he's not going to 596 00:29:42,680 --> 00:29:46,000 Speaker 1: be mayor anymore. Eric Adams all in grade as mayor 597 00:29:46,000 --> 00:29:47,000 Speaker 1: for the City of New York. 598 00:29:47,400 --> 00:29:49,560 Speaker 3: Well, it's the problem is too Eric Adams. The first 599 00:29:49,560 --> 00:29:52,640 Speaker 3: three years total disaster. He brought in the worst people, 600 00:29:52,680 --> 00:29:54,160 Speaker 3: most of them got indicted, arrested. 601 00:29:54,200 --> 00:29:54,920 Speaker 2: It was horrible. 602 00:29:55,520 --> 00:29:58,440 Speaker 3: He had some more police commissioners than three years and 603 00:29:58,480 --> 00:30:01,120 Speaker 3: we had in the last thirty. But then the final 604 00:30:01,200 --> 00:30:04,080 Speaker 3: year was great. He brought in Randy Mastro, who was 605 00:30:04,120 --> 00:30:07,040 Speaker 3: Giuliani's top guy at city Hall. He ran city Hall, 606 00:30:07,120 --> 00:30:09,200 Speaker 3: so he got best guy running city hall. He brought 607 00:30:09,240 --> 00:30:12,960 Speaker 3: in Jessica Tish, great police commissioner. In their first month, 608 00:30:13,040 --> 00:30:15,600 Speaker 3: she cleaned out all the corruption, got rid of twenty 609 00:30:15,680 --> 00:30:18,320 Speaker 3: or thirty major people there. So the last year he 610 00:30:18,320 --> 00:30:21,560 Speaker 3: gets an A plus, but the first three years he 611 00:30:21,600 --> 00:30:23,680 Speaker 3: gets a total F. So I don't know. I he 612 00:30:23,720 --> 00:30:27,920 Speaker 3: agreed that if he had done that year two, he 613 00:30:27,960 --> 00:30:29,280 Speaker 3: would still be mayor today. 614 00:30:30,680 --> 00:30:31,080 Speaker 2: By the way. 615 00:30:31,120 --> 00:30:33,640 Speaker 1: This is a bit funny, but Greg Abbott just tweeted 616 00:30:33,640 --> 00:30:37,440 Speaker 1: Buck after the polls closed tomorrow night, I will impose 617 00:30:37,600 --> 00:30:41,040 Speaker 1: a one hundred percent tariff on anyone moving to Texas 618 00:30:41,040 --> 00:30:45,960 Speaker 1: from New York City. So look, I mean where Buck 619 00:30:46,040 --> 00:30:48,280 Speaker 1: is down in Florida, where I am in Tennessee. I 620 00:30:48,360 --> 00:30:50,760 Speaker 1: gotta be honest with you. I think there's going to 621 00:30:50,800 --> 00:30:53,640 Speaker 1: be ed to Texas where Governor Abbitt is. I think 622 00:30:53,640 --> 00:30:55,760 Speaker 1: there's going to be a lot of New Yorker saying, heck, 623 00:30:55,920 --> 00:30:58,000 Speaker 1: I'm going to get screwed here. Why am I paying 624 00:30:58,040 --> 00:31:02,160 Speaker 1: fourteen percent state income to when places like Tennessee, Texas 625 00:31:02,160 --> 00:31:04,640 Speaker 1: and Florida have none? And heck, Buck may not even 626 00:31:04,720 --> 00:31:07,600 Speaker 1: have property taxes soon. They're talking about doing away with 627 00:31:07,680 --> 00:31:11,560 Speaker 1: them completely in Florida, which is just another sales point. 628 00:31:11,760 --> 00:31:14,760 Speaker 1: We should just make him emperor, just Stantists of Florida forever. 629 00:31:14,960 --> 00:31:16,800 Speaker 1: You know, it's just a governor. It's okay. Just make 630 00:31:16,880 --> 00:31:19,120 Speaker 1: him emperor to Stantis to Florida would be fabulous. 631 00:31:19,480 --> 00:31:19,760 Speaker 2: Mark. 632 00:31:19,800 --> 00:31:21,120 Speaker 1: We'll have to check in with you and see how 633 00:31:21,120 --> 00:31:23,600 Speaker 1: this all goes tomorrow, but thank you for sharing the expertise. 634 00:31:23,600 --> 00:31:24,960 Speaker 2: Always appreciate your perspective. 635 00:31:25,080 --> 00:31:26,720 Speaker 3: All right, thanks for the great show every day. 636 00:31:28,320 --> 00:31:31,440 Speaker 1: For all the cell phone rather for all the holiday 637 00:31:31,440 --> 00:31:33,440 Speaker 1: bills come in your way. There's one way you can 638 00:31:33,480 --> 00:31:35,920 Speaker 1: save money your cell phone. Cut your cell phone bill 639 00:31:35,960 --> 00:31:38,360 Speaker 1: in half by switching your service to pure Talk. This 640 00:31:38,480 --> 00:31:40,560 Speaker 1: is the phone service that I rely on. Pure Talk 641 00:31:40,640 --> 00:31:43,400 Speaker 1: service is on the same super fast five G network 642 00:31:43,400 --> 00:31:45,160 Speaker 1: as one of the big guys. They use the same 643 00:31:45,200 --> 00:31:48,000 Speaker 1: networking towers, but offer you a twenty five dollars per month, 644 00:31:48,040 --> 00:31:51,200 Speaker 1: offer unlimited talking text, and plenty of high speed data. 645 00:31:51,480 --> 00:31:53,520 Speaker 1: They can offer that cost because they don't have super 646 00:31:53,520 --> 00:31:57,400 Speaker 1: expensive retail leases, no bloated programs, and no incentives that 647 00:31:57,440 --> 00:31:59,880 Speaker 1: you pay for but never use. Switching to pure Talk 648 00:32:00,120 --> 00:32:02,400 Speaker 1: the common sense thing to do. Just dial pound two 649 00:32:02,480 --> 00:32:04,680 Speaker 1: fifty and say our names Clay and Buck, and their 650 00:32:04,800 --> 00:32:07,640 Speaker 1: US customer service team will help you switch in ten 651 00:32:07,640 --> 00:32:10,320 Speaker 1: minutes or so. Plus right now. You'll save fifty percent 652 00:32:10,360 --> 00:32:12,280 Speaker 1: off your first month, and if you're a business owner, 653 00:32:12,320 --> 00:32:15,720 Speaker 1: you could be saving even more. Cut the fat out 654 00:32:15,720 --> 00:32:19,480 Speaker 1: of wireless. Dial pound two five zero, say Clay and Buck, 655 00:32:19,560 --> 00:32:23,000 Speaker 1: make the switch to my wireless company, pure Talk. Dial 656 00:32:23,080 --> 00:32:26,120 Speaker 1: pound two five zero, say Clay and Buck. 657 00:32:26,960 --> 00:32:31,400 Speaker 7: Two guys walk up to a mic Hey, anything goes 658 00:32:32,200 --> 00:32:36,120 Speaker 7: Clay Travis and Buck Sexton. Find them on the free 659 00:32:36,160 --> 00:32:39,560 Speaker 7: iHeartRadio app or wherever you get your podcasts. 660 00:32:39,800 --> 00:32:42,480 Speaker 1: Welcome back into Clay and Buck. Let's get to some 661 00:32:42,680 --> 00:32:47,480 Speaker 1: call some talkbacks. Uh we'll start the noise here with 662 00:32:47,920 --> 00:32:52,120 Speaker 1: uh Pam listens on k E N I up and Anchorage, Alaska. 663 00:32:52,240 --> 00:32:55,840 Speaker 1: I love our Alaska contingent CE see hit it, Hey, Buck. 664 00:32:55,960 --> 00:32:58,600 Speaker 8: If Clay's going to tease you about your TUTSI roll 665 00:32:58,680 --> 00:33:01,200 Speaker 8: dance and not expecting to see that, you could always 666 00:33:01,280 --> 00:33:04,920 Speaker 8: counter with, well, I'm sure the construction workers weren't expecting 667 00:33:04,920 --> 00:33:09,640 Speaker 8: to see you streak across your room and offer the 668 00:33:09,720 --> 00:33:13,400 Speaker 8: suggestion coch here does sell men's bathrobes. 669 00:33:13,440 --> 00:33:16,680 Speaker 2: Clay, there are you? Are you a robe guy? 670 00:33:16,720 --> 00:33:19,240 Speaker 1: Our friend Jesse Kelly has been tweeting about how he's 671 00:33:19,240 --> 00:33:21,480 Speaker 1: become a robe guy now, and I feel like a 672 00:33:21,560 --> 00:33:24,200 Speaker 1: robe is more like a lifestyle, like it's for the spa. 673 00:33:24,360 --> 00:33:26,240 Speaker 1: If you start walking around your house in a robe, 674 00:33:26,640 --> 00:33:27,000 Speaker 1: are you. 675 00:33:26,960 --> 00:33:28,640 Speaker 2: Ever going to do anything? Yeah? 676 00:33:28,640 --> 00:33:31,960 Speaker 1: The hotels always have robes. No, I'm not a robe guy. 677 00:33:32,760 --> 00:33:35,120 Speaker 1: I don't think I've ever really kind of walked around 678 00:33:35,160 --> 00:33:37,320 Speaker 1: in a robe. Certainly, Yeah, I guess if you're at 679 00:33:37,320 --> 00:33:40,520 Speaker 1: a spa or something like that, maybe it makes sense, 680 00:33:40,600 --> 00:33:43,280 Speaker 1: but not a not a big time road guy. By 681 00:33:43,280 --> 00:33:46,360 Speaker 1: the way, we got a good call Chip and Brandon, Florida. 682 00:33:46,400 --> 00:33:48,560 Speaker 1: We were talking about culture, and I think we can 683 00:33:48,600 --> 00:33:50,280 Speaker 1: have some more fun with this when we come back 684 00:33:50,360 --> 00:33:52,960 Speaker 1: because a lot of these ring doorbell cameras. I get it, 685 00:33:52,960 --> 00:33:55,640 Speaker 1: it's a relatively new thing that we can always see. 686 00:33:55,680 --> 00:33:57,680 Speaker 1: But I would tie this in with what they call 687 00:33:57,760 --> 00:34:02,160 Speaker 1: him porch pirates, people who are constantly stealing the packages 688 00:34:02,200 --> 00:34:04,800 Speaker 1: that are delivered. Probably a lot of you out there 689 00:34:04,800 --> 00:34:08,120 Speaker 1: in neighborhoods have seen some of these videos. People say, hey, 690 00:34:08,160 --> 00:34:10,319 Speaker 1: do you know who this person is. They're waiting, they're 691 00:34:10,320 --> 00:34:13,359 Speaker 1: following the Amazon truck or the ups or whatever it is, 692 00:34:13,680 --> 00:34:16,680 Speaker 1: and they're grabbing things. This is a positive story. Chip 693 00:34:16,800 --> 00:34:21,560 Speaker 1: in Brandon, Florida, tell us your story. 694 00:34:21,800 --> 00:34:26,240 Speaker 6: Yes, I've accidentally left my wallet in a Sam's Club 695 00:34:27,000 --> 00:34:29,960 Speaker 6: and somebody turned it in. I had four hundred dollars 696 00:34:29,960 --> 00:34:32,880 Speaker 6: cash in it, and when when I went down there 697 00:34:32,920 --> 00:34:35,640 Speaker 6: the next day, all the cash is in it. I 698 00:34:35,680 --> 00:34:37,840 Speaker 6: think a red state you have much better chance of 699 00:34:38,040 --> 00:34:40,520 Speaker 6: having people do the right thing than in a blue So. 700 00:34:40,560 --> 00:34:41,080 Speaker 2: This is great. 701 00:34:41,080 --> 00:34:44,120 Speaker 1: You were just at a Sam's Club store and you 702 00:34:44,280 --> 00:34:47,200 Speaker 1: just accidentally forgot your wallet and somebody turned it in 703 00:34:47,280 --> 00:34:51,360 Speaker 1: and all the money was still in it. Correct, That's awesome, 704 00:34:51,480 --> 00:34:54,600 Speaker 1: Thank you. I do think red states tend to have, 705 00:34:54,880 --> 00:34:59,839 Speaker 1: as a general rule, better cultures than Blue states when 706 00:35:00,080 --> 00:35:02,960 Speaker 1: it comes to and look states is tough because I 707 00:35:03,040 --> 00:35:06,680 Speaker 1: just mentioned there, even whatever state you're in, forty percent 708 00:35:06,719 --> 00:35:09,360 Speaker 1: of people voted Trump, even if you're in a blue state, 709 00:35:09,480 --> 00:35:12,120 Speaker 1: And even if you're in a red state, around forty 710 00:35:12,160 --> 00:35:15,479 Speaker 1: percent of people voted Kamala. So you're still talking about 711 00:35:15,520 --> 00:35:18,680 Speaker 1: in a group of ten people, there's a huge substantial 712 00:35:18,719 --> 00:35:20,879 Speaker 1: percentage that are going to agree with you no matter what. 713 00:35:21,719 --> 00:35:26,480 Speaker 1: But I do think the culture of look are you 714 00:35:26,560 --> 00:35:29,799 Speaker 1: more likely. It would be fascinating to see an experiment 715 00:35:29,960 --> 00:35:33,200 Speaker 1: they used to do things like this of a wallet 716 00:35:33,280 --> 00:35:35,640 Speaker 1: with you know, one hundred dollars bill peeking out of it, 717 00:35:36,040 --> 00:35:39,440 Speaker 1: left on a New York City subway and someone operating 718 00:35:39,480 --> 00:35:42,879 Speaker 1: a lost and found counter, you know, within eyesight, how 719 00:35:42,920 --> 00:35:45,680 Speaker 1: many people, how many people turn it in, how many 720 00:35:45,680 --> 00:35:47,080 Speaker 1: people take one hundred it would be? 721 00:35:47,360 --> 00:35:48,479 Speaker 2: And how do they vote? 722 00:35:48,840 --> 00:35:52,080 Speaker 1: It would be an interesting dynamic to then cross the tabot. 723 00:35:52,160 --> 00:35:55,480 Speaker 1: You know, how do they vote in elections? Are they 724 00:35:55,520 --> 00:35:59,719 Speaker 1: are they not religious? What would the percentages show who 725 00:35:59,760 --> 00:36:02,680 Speaker 1: are most likely to return, who are the least likely? 726 00:36:03,800 --> 00:36:07,040 Speaker 1: But again to your point, high high trust societies, low 727 00:36:07,120 --> 00:36:08,120 Speaker 1: trust societies. 728 00:36:08,960 --> 00:36:10,439 Speaker 2: Okay, when we. 729 00:36:10,360 --> 00:36:13,000 Speaker 1: Come back, we'll talk more about New York City, we'll 730 00:36:13,000 --> 00:36:16,560 Speaker 1: talk about the governor's races in Virginia, New Jersey, as 731 00:36:16,600 --> 00:36:19,839 Speaker 1: we are on the eve of the elections in all 732 00:36:19,880 --> 00:36:24,240 Speaker 1: of those places. And let's get in to this question 733 00:36:25,200 --> 00:36:27,839 Speaker 1: about I do think it sounds silly, but I do 734 00:36:27,880 --> 00:36:31,640 Speaker 1: think it's an interesting cultural example. All of these viral 735 00:36:31,760 --> 00:36:35,960 Speaker 1: videos of candy being stolen on porches in the wake 736 00:36:36,200 --> 00:36:40,440 Speaker 1: of Halloween Friday, a lot of you out with kids 737 00:36:40,440 --> 00:36:43,319 Speaker 1: and grandkids. We'll talk about that and more. Thanks for 738 00:36:43,360 --> 00:36:45,439 Speaker 1: hanging with us here on playing Buck