1 00:00:00,760 --> 00:00:03,720 Speaker 1: Hey, guys, ready or not, twenty twenty four is here 2 00:00:03,880 --> 00:00:06,320 Speaker 1: and we here at breaking points, are already thinking of 3 00:00:06,400 --> 00:00:08,600 Speaker 1: ways we can up our game for this critical election. 4 00:00:08,800 --> 00:00:11,719 Speaker 2: We rely on our premium subs to expand coverage, upgrade 5 00:00:11,760 --> 00:00:15,120 Speaker 2: the studio ad staff give you, guys, the best independent 6 00:00:15,160 --> 00:00:17,440 Speaker 2: coverage that is possible. If you like what we're all about, 7 00:00:17,680 --> 00:00:20,080 Speaker 2: it just means the absolute world to have your support. 8 00:00:20,160 --> 00:00:43,240 Speaker 2: But enough with that, let's get to the showing. Good morning, everybody, 9 00:00:43,240 --> 00:00:45,640 Speaker 2: Happy Tuesday. We have an amazing show for everybody today. 10 00:00:45,640 --> 00:00:46,440 Speaker 3: What do we have, Krystal? 11 00:00:46,560 --> 00:00:47,080 Speaker 4: Indeed, we do. 12 00:00:47,200 --> 00:00:49,280 Speaker 1: Lots of interesting things we're taking a look at this morning. 13 00:00:49,280 --> 00:00:52,240 Speaker 1: We've got some new pulling out of the Sunshine State 14 00:00:52,400 --> 00:00:55,320 Speaker 1: in the GOP primary, not good news for Ronda Santas. 15 00:00:55,440 --> 00:00:58,320 Speaker 1: Also some interesting pulling out of ioas that we bring 16 00:00:58,360 --> 00:01:01,240 Speaker 1: you up to date on all of that. New developments 17 00:01:01,240 --> 00:01:05,280 Speaker 1: in the Threads versus Twitter war, looks like Twitter has 18 00:01:05,319 --> 00:01:09,360 Speaker 1: actually been kind of immediately hurt by the advent of threads, 19 00:01:09,360 --> 00:01:11,480 Speaker 1: so we'll get into that as well. We also have 20 00:01:12,240 --> 00:01:15,080 Speaker 1: quite an interesting piece written by Joe Scarborough, of course, 21 00:01:15,160 --> 00:01:18,680 Speaker 1: multimillionaire MSNBC host, assuring everyone that actually the economy is 22 00:01:18,680 --> 00:01:20,240 Speaker 1: great and America is doing wonderful. 23 00:01:20,280 --> 00:01:21,280 Speaker 4: Please stop complaining. 24 00:01:21,959 --> 00:01:25,679 Speaker 1: We also have some updated numbers about the way America 25 00:01:25,800 --> 00:01:29,320 Speaker 1: feels about our institutions and trusted institutions. Not good news. 26 00:01:29,319 --> 00:01:32,600 Speaker 1: There some updates on this is an interesting story. So 27 00:01:32,680 --> 00:01:37,319 Speaker 1: apparently attendance at theme parks, in particular at Disney World 28 00:01:37,400 --> 00:01:41,080 Speaker 1: are way down. So why what exactly is going on there? 29 00:01:41,120 --> 00:01:42,320 Speaker 4: We will dig into that. 30 00:01:42,480 --> 00:01:44,880 Speaker 1: And we've got to update for you from our friends 31 00:01:44,880 --> 00:01:48,200 Speaker 1: at the View defending the fact that Joe Biden will 32 00:01:48,200 --> 00:01:51,840 Speaker 1: not even acknowledge the existence of his seventh grandchild. What 33 00:01:51,840 --> 00:01:54,040 Speaker 1: does that say about the man who really portrays himself 34 00:01:54,080 --> 00:01:57,720 Speaker 1: as a family man. Also, I am personally very excited 35 00:01:57,760 --> 00:01:59,960 Speaker 1: to welcome into the studio this morning the president of 36 00:02:00,080 --> 00:02:01,760 Speaker 1: the International Brotherhood of Teamsters. 37 00:02:01,840 --> 00:02:02,600 Speaker 4: Of course, they are. 38 00:02:02,520 --> 00:02:06,360 Speaker 1: Facing a potential huge strike, one of the largest American 39 00:02:06,440 --> 00:02:09,160 Speaker 1: history of UPS workers if that goes through. So I'm 40 00:02:09,200 --> 00:02:12,320 Speaker 1: going to talk to him about where negotiations stand right now. 41 00:02:12,800 --> 00:02:14,680 Speaker 1: But we wanted to start with the very latest in 42 00:02:14,720 --> 00:02:15,920 Speaker 1: terms of the GOP primary. 43 00:02:16,000 --> 00:02:19,320 Speaker 2: I'm really excited for that one, in particular the EUPS interview. 44 00:02:19,320 --> 00:02:22,320 Speaker 3: But let's also talk a little bit about Ron DeSantis. 45 00:02:22,320 --> 00:02:24,000 Speaker 2: Now, one of the things, Crystal, that we talked here 46 00:02:24,040 --> 00:02:26,400 Speaker 2: about before is that for DeSantis, he has a two 47 00:02:26,440 --> 00:02:27,160 Speaker 2: prong strategy. 48 00:02:27,280 --> 00:02:28,200 Speaker 3: Number One, the. 49 00:02:28,200 --> 00:02:30,520 Speaker 2: Guy has got to win Iowa and he has to 50 00:02:30,560 --> 00:02:33,640 Speaker 2: win New Hampshire. But also the death knell of any 51 00:02:33,680 --> 00:02:37,040 Speaker 2: presidential candidate is if you can win your own home state. 52 00:02:37,120 --> 00:02:40,800 Speaker 2: Ted Cruz proved his viability in the twenty sixteen race 53 00:02:40,960 --> 00:02:42,880 Speaker 2: when he was able to win the state of Texas. 54 00:02:43,040 --> 00:02:45,200 Speaker 2: John ka six also was able to win the state 55 00:02:45,400 --> 00:02:49,600 Speaker 2: of Ohio, And when Rubio lost the Florida primary to 56 00:02:49,720 --> 00:02:52,600 Speaker 2: Donald Trump, he decided to drop out because it showed 57 00:02:52,600 --> 00:02:55,280 Speaker 2: that even though he represents that state, if he loses 58 00:02:55,320 --> 00:02:56,240 Speaker 2: to Trump, that means. 59 00:02:56,040 --> 00:02:57,600 Speaker 3: You cannot be the nominee. 60 00:02:57,600 --> 00:03:00,520 Speaker 2: And unfortunately, right now for Ron DeSantis, things are not 61 00:03:00,600 --> 00:03:01,000 Speaker 2: looking good. 62 00:03:01,040 --> 00:03:03,519 Speaker 3: So right, let's go put this up there on the screen. 63 00:03:03,639 --> 00:03:06,200 Speaker 2: This is the latest poll for the twenty twenty four 64 00:03:06,520 --> 00:03:11,359 Speaker 2: Florida Republican primary from the FAU University that shows GOP 65 00:03:11,960 --> 00:03:15,960 Speaker 2: likely voters, and the numbers are devastating for Ron DeSantis. 66 00:03:16,120 --> 00:03:20,840 Speaker 2: Trump currently stands at fifty percent, up twenty points over DeSantis, 67 00:03:20,960 --> 00:03:24,000 Speaker 2: who has about thirty percent. After that, everybody drops off 68 00:03:24,080 --> 00:03:28,480 Speaker 2: dramatically Ramaswami, Scott, Christy, Pence, Hutchinson, Haley pulling between one 69 00:03:28,560 --> 00:03:31,840 Speaker 2: and four percent. However, the biggest problem I think for 70 00:03:31,840 --> 00:03:34,640 Speaker 2: for DeSantis in his own home state is the head 71 00:03:34,639 --> 00:03:37,760 Speaker 2: to head pole. Even if you remove all of the 72 00:03:37,880 --> 00:03:42,920 Speaker 2: other GOP contenders, Trump actually increases his support to fifty 73 00:03:42,920 --> 00:03:47,080 Speaker 2: four percent, with DeSantis only gaining about seven percent in 74 00:03:47,200 --> 00:03:47,880 Speaker 2: the aggregate. 75 00:03:47,920 --> 00:03:48,920 Speaker 3: Now, obviously, look. 76 00:03:48,760 --> 00:03:51,360 Speaker 2: It's one poll, but fau is you know, it's pretty 77 00:03:51,600 --> 00:03:54,400 Speaker 2: a high quality poll in terms of its past record 78 00:03:54,480 --> 00:03:56,640 Speaker 2: in the state of Florida. And it also does show 79 00:03:56,720 --> 00:03:59,640 Speaker 2: that you know, in the past shoot showed DeSantis doing 80 00:03:59,680 --> 00:04:03,440 Speaker 2: well in the GUBERNATORI primary. It's not really biased against him, 81 00:04:03,720 --> 00:04:07,000 Speaker 2: it just does pick up. It reminds me of the 82 00:04:07,040 --> 00:04:10,160 Speaker 2: diner scene that we played here from Fox News when 83 00:04:10,160 --> 00:04:13,560 Speaker 2: they visited some Florida diner and every single person is 84 00:04:13,640 --> 00:04:14,480 Speaker 2: voting for Trump. 85 00:04:14,600 --> 00:04:15,840 Speaker 3: Even the lady wearing a. 86 00:04:15,800 --> 00:04:18,520 Speaker 2: Dissanta shirt was like, Yeah, I like Ron, but I'm 87 00:04:18,600 --> 00:04:21,320 Speaker 2: voting for Trump, so I mean, listen. It's just one 88 00:04:21,320 --> 00:04:24,600 Speaker 2: of those that underscores again the level of love that 89 00:04:24,680 --> 00:04:28,760 Speaker 2: Trump has within the GOP primary, that you know, reality 90 00:04:28,880 --> 00:04:30,560 Speaker 2: is just beginning to stare a lot of people in 91 00:04:30,560 --> 00:04:32,640 Speaker 2: the face. Yes, what's six weeks or so into the 92 00:04:32,720 --> 00:04:33,800 Speaker 2: Ron de Santas campaign. 93 00:04:33,920 --> 00:04:38,240 Speaker 1: Yes, indeed, And yesterday we covered the analysis of the 94 00:04:38,279 --> 00:04:41,719 Speaker 1: words that all of the different GOP candidates were leaning into. 95 00:04:42,040 --> 00:04:44,240 Speaker 1: And the one that really jumped out for Ronda Santis 96 00:04:44,320 --> 00:04:46,640 Speaker 1: that was different from the other candidates is Florida. 97 00:04:47,040 --> 00:04:48,560 Speaker 4: Talks about Florida all the time. 98 00:04:48,600 --> 00:04:51,440 Speaker 1: He talks about his record in Florida, the fact that, 99 00:04:51,480 --> 00:04:53,920 Speaker 1: you know, he was able to pass this slate of 100 00:04:54,000 --> 00:04:56,760 Speaker 1: legislation that is on the conservative wishless, but also the 101 00:04:56,800 --> 00:04:58,719 Speaker 1: fact that he's such a winner in Florida, and that 102 00:04:58,800 --> 00:05:01,040 Speaker 1: he's so beloved in Florida, and that he's been such 103 00:05:01,080 --> 00:05:04,200 Speaker 1: a good governor of Florida. So I think for him, 104 00:05:04,800 --> 00:05:08,719 Speaker 1: since he has in particular built his case around this state, 105 00:05:09,279 --> 00:05:13,200 Speaker 1: the fact that he is losing quite handily to Trump 106 00:05:13,240 --> 00:05:17,080 Speaker 1: at this point in his own home state is additionally devastating, 107 00:05:17,120 --> 00:05:19,080 Speaker 1: even more so than it is for your run of 108 00:05:19,080 --> 00:05:21,479 Speaker 1: the mill candidate who is you know, losing their own 109 00:05:21,480 --> 00:05:23,760 Speaker 1: home state. I was thinking of Elizabeth Warren too, like 110 00:05:23,800 --> 00:05:25,480 Speaker 1: it really was a sign of the death knel when 111 00:05:25,520 --> 00:05:28,000 Speaker 1: she wasn't even winning in her home state of Massachusetts. 112 00:05:28,240 --> 00:05:29,720 Speaker 1: But I think for him it is a little bit 113 00:05:29,760 --> 00:05:32,200 Speaker 1: extra because he talks about it so. 114 00:05:31,880 --> 00:05:35,560 Speaker 4: So much, and the fact that you have not only in. 115 00:05:35,480 --> 00:05:38,239 Speaker 1: The you know, wide open race with all the various 116 00:05:38,240 --> 00:05:41,000 Speaker 1: candidates that he's losing by twenty points, but even when 117 00:05:41,000 --> 00:05:43,200 Speaker 1: you say, all right, if everybody gets out and you 118 00:05:43,200 --> 00:05:47,559 Speaker 1: have some consolidation behind Ron DeSantis, Trump is still beating 119 00:05:47,640 --> 00:05:51,320 Speaker 1: him by roughly the same margin. So again, it's one poll. 120 00:05:51,600 --> 00:05:54,800 Speaker 1: You know, it's one little indicator. But if you aren't 121 00:05:54,800 --> 00:05:57,760 Speaker 1: winning in your home state when supposedly your theory of 122 00:05:57,800 --> 00:05:59,600 Speaker 1: the case is I'm such a great governor and people 123 00:05:59,600 --> 00:06:01,360 Speaker 1: love me so so much. That's why you should make 124 00:06:01,400 --> 00:06:02,680 Speaker 1: me president of the United States. 125 00:06:03,080 --> 00:06:03,840 Speaker 4: It's a tough look. 126 00:06:03,960 --> 00:06:05,880 Speaker 2: One of the people who's been backing Rond de Santis 127 00:06:06,120 --> 00:06:09,000 Speaker 2: Eric Ericsson, he's a conservative radio hosts. He's actually been 128 00:06:09,080 --> 00:06:12,240 Speaker 2: openly saying he's in a number of group chats, email lists, 129 00:06:12,279 --> 00:06:14,720 Speaker 2: all of whom we're dealing with the ongoing threads a 130 00:06:14,760 --> 00:06:18,240 Speaker 2: frustration from the Ron De Santis campaign. Perception is settling 131 00:06:18,279 --> 00:06:20,560 Speaker 2: in that something needs to happen, but everyone has a 132 00:06:20,560 --> 00:06:23,440 Speaker 2: different opinion on what to do. And you know, there's 133 00:06:23,480 --> 00:06:26,359 Speaker 2: been a lot of interest right now in Casey DeSantis, 134 00:06:26,440 --> 00:06:29,039 Speaker 2: Ron DeSantis's wife, Let's go and put this up there 135 00:06:29,080 --> 00:06:32,040 Speaker 2: on the screen about how she herself is now beginning 136 00:06:32,080 --> 00:06:35,440 Speaker 2: to hit the campaign trail actually without Ron DeSantis. So 137 00:06:35,760 --> 00:06:39,200 Speaker 2: the Florida First Lady is launching quote Mama's for DeSantis 138 00:06:39,200 --> 00:06:41,800 Speaker 2: at a first solo event in Iowa. Can she help 139 00:06:41,839 --> 00:06:44,320 Speaker 2: her husband close the gap in the polls with Trump? 140 00:06:44,400 --> 00:06:47,120 Speaker 2: This was from the Daily Mail, who took notice of 141 00:06:47,160 --> 00:06:50,120 Speaker 2: this and reported the piece out. The reason why it 142 00:06:50,160 --> 00:06:52,720 Speaker 2: is important is that from all of what we know, 143 00:06:52,920 --> 00:06:55,760 Speaker 2: both publicly privately also heard the exact same thing is 144 00:06:55,800 --> 00:06:58,200 Speaker 2: that DeSantis really doesn't trust anybody except for his wife. 145 00:06:58,279 --> 00:07:02,920 Speaker 2: She's truly is like sole true counselor in terms of 146 00:07:02,960 --> 00:07:05,279 Speaker 2: a close confidant. She was one of the people who 147 00:07:05,480 --> 00:07:08,120 Speaker 2: encouraged him and pushed him to run for president, saying 148 00:07:08,160 --> 00:07:11,480 Speaker 2: that this is your time encouraging after he won the 149 00:07:11,480 --> 00:07:14,320 Speaker 2: gubernatorial election, has been warning him off a lot of 150 00:07:14,360 --> 00:07:17,040 Speaker 2: you know, campaign advisor snakes and others. He keeps very 151 00:07:17,120 --> 00:07:19,600 Speaker 2: very close counsel with her, and he trusts her completely. 152 00:07:19,600 --> 00:07:22,360 Speaker 2: It's very few people that he does him dispatching her 153 00:07:22,400 --> 00:07:24,640 Speaker 2: on the campaign trail is being read by the Trump 154 00:07:24,680 --> 00:07:26,720 Speaker 2: folks as a sign of desperation. It's like, oh, you 155 00:07:26,760 --> 00:07:28,680 Speaker 2: need your wife to bail you out. I don't know, 156 00:07:28,720 --> 00:07:31,600 Speaker 2: I think necessarily if that's fair or not. But I 157 00:07:31,680 --> 00:07:35,280 Speaker 2: do think that her pursuing solo campaign events that is 158 00:07:35,320 --> 00:07:40,000 Speaker 2: something that very few campaign spouses do in primary elections. 159 00:07:40,040 --> 00:07:42,640 Speaker 2: Not necessarily in the general election, but in the primary 160 00:07:42,640 --> 00:07:44,440 Speaker 2: election where we are right now. You know, I can't 161 00:07:44,440 --> 00:07:46,560 Speaker 2: think of a single event that like Heidi Kruz did 162 00:07:46,880 --> 00:07:47,920 Speaker 2: by herself. 163 00:07:47,800 --> 00:07:49,320 Speaker 3: Iowa or Milania. 164 00:07:49,440 --> 00:07:51,440 Speaker 2: You know, I think they had to drag her out, 165 00:07:51,480 --> 00:07:52,920 Speaker 2: even for the joint appearances. 166 00:07:53,600 --> 00:07:55,720 Speaker 1: Kelly did some back in the day for Obama. 167 00:07:55,920 --> 00:07:58,560 Speaker 2: I think Michelle did some. I'm not sure if she 168 00:07:58,640 --> 00:08:01,480 Speaker 2: did in the primary or not. I haven't gone back 169 00:08:01,680 --> 00:08:04,120 Speaker 2: and looked at that, but at least in modern memory, 170 00:08:04,200 --> 00:08:07,040 Speaker 2: it is certainly kind of a departure, I guess from 171 00:08:07,120 --> 00:08:08,600 Speaker 2: the norm. And it's like I said, you can read 172 00:08:08,600 --> 00:08:10,760 Speaker 2: it really whichever way you want, as a sign of 173 00:08:10,840 --> 00:08:13,880 Speaker 2: desperation or as just pulling out all the stops. The 174 00:08:13,920 --> 00:08:15,720 Speaker 2: problem those you're pulling out all the stops, you know, 175 00:08:15,840 --> 00:08:18,720 Speaker 2: this far out away from actual primary day. 176 00:08:19,080 --> 00:08:20,840 Speaker 3: I also do think that is a problem yeah. 177 00:08:20,880 --> 00:08:23,640 Speaker 1: I mean they're clearly scrambling, you know, between this and 178 00:08:23,720 --> 00:08:29,800 Speaker 1: between that weird LGBTQ ad that they embraced, and you know, 179 00:08:29,920 --> 00:08:32,920 Speaker 1: it just it just feels like they are turning through 180 00:08:33,120 --> 00:08:35,880 Speaker 1: a lot of ideas, throwing everything against the wall and 181 00:08:35,920 --> 00:08:38,560 Speaker 1: seeing what sticks. I can tell you I watched a 182 00:08:38,559 --> 00:08:42,520 Speaker 1: little bit of her Iowa event, her Mama's for Desanta's event, 183 00:08:42,640 --> 00:08:43,920 Speaker 1: and she's very talented. 184 00:08:43,920 --> 00:08:45,079 Speaker 4: Maybe she should be the one, right. 185 00:08:45,040 --> 00:08:48,400 Speaker 3: Well, she's actually a former local team. You know, she's good. Actually, 186 00:08:48,400 --> 00:08:48,840 Speaker 3: I agree with. 187 00:08:48,880 --> 00:08:50,760 Speaker 4: Because the thing is Ron. 188 00:08:50,880 --> 00:08:53,960 Speaker 1: I think it's true that he is kind of you know, 189 00:08:54,040 --> 00:08:56,800 Speaker 1: he's kind of an introvert. He's kind of awkward, you know, 190 00:08:56,960 --> 00:09:01,160 Speaker 1: personal person interactions, a little uncomfortable in speeches. They feel 191 00:09:01,280 --> 00:09:04,360 Speaker 1: very kind of canned, you know, in his interviews, he 192 00:09:04,400 --> 00:09:06,560 Speaker 1: does fine as long as he's got his talking points. 193 00:09:06,880 --> 00:09:09,840 Speaker 1: She's thought a lot more natural and comfortable up on stage. 194 00:09:09,920 --> 00:09:13,880 Speaker 1: So I can see why they're leaning into putting her 195 00:09:14,080 --> 00:09:17,480 Speaker 1: up front, because she's certainly very capable in that regard 196 00:09:17,600 --> 00:09:20,880 Speaker 1: and you know, able to carry her husband's message. But 197 00:09:21,360 --> 00:09:23,280 Speaker 1: you know, people aren't voting for a first lady. 198 00:09:23,360 --> 00:09:25,160 Speaker 3: Yeah, they're voting for you exactly. 199 00:09:25,200 --> 00:09:27,480 Speaker 2: And that you know, it's generally always the problem with 200 00:09:27,679 --> 00:09:30,040 Speaker 2: trying to get the wife to save your campaign. I've 201 00:09:30,080 --> 00:09:32,760 Speaker 2: also taken notice, you know, kind of the scrambling of 202 00:09:32,760 --> 00:09:37,000 Speaker 2: what you're talking about in these increasingly desperate attacks against Trump, 203 00:09:37,080 --> 00:09:39,160 Speaker 2: like the best attacks against trumphere he said he was 204 00:09:39,200 --> 00:09:41,679 Speaker 2: going to do X and then he literally didn't do it. 205 00:09:41,720 --> 00:09:44,559 Speaker 2: But now they're trying to flip things around. And DeSantis 206 00:09:44,640 --> 00:09:47,920 Speaker 2: himself actually made this point in a Fox News interview 207 00:09:48,120 --> 00:09:52,160 Speaker 2: where he effectively tried to blame Trump for not lashing 208 00:09:52,240 --> 00:09:56,360 Speaker 2: out at Twitter over censoring the Hunter Biden laptop story. 209 00:09:56,400 --> 00:09:58,800 Speaker 2: And the reason why I think it's so convoluted is 210 00:09:59,040 --> 00:10:00,720 Speaker 2: he didn't have anything to do do with that. So 211 00:10:00,760 --> 00:10:03,640 Speaker 2: he's trying to almost insert himself into a situation which 212 00:10:03,679 --> 00:10:06,560 Speaker 2: had no impact like actually on him or even really 213 00:10:06,600 --> 00:10:09,440 Speaker 2: on any GOP primary and say he would have handled 214 00:10:09,480 --> 00:10:11,760 Speaker 2: it in a tougher way. I found it a very, 215 00:10:11,840 --> 00:10:14,840 Speaker 2: very convoluted and almost bizarre way of saying that he 216 00:10:14,880 --> 00:10:16,160 Speaker 2: would have handled something differently. 217 00:10:16,320 --> 00:10:17,480 Speaker 3: Here's what he had to say. 218 00:10:17,760 --> 00:10:20,200 Speaker 5: What can you do about it to straighten things out? 219 00:10:20,400 --> 00:10:23,120 Speaker 5: Given the fact that the Americans are sick and tired 220 00:10:23,120 --> 00:10:25,079 Speaker 5: of the corruption they see in plain sight. 221 00:10:27,080 --> 00:10:31,280 Speaker 6: We will end the weaponization of government. And that's of 222 00:10:31,320 --> 00:10:34,520 Speaker 6: course a new FBI director on day one. That's a 223 00:10:34,559 --> 00:10:37,079 Speaker 6: difference between me and Donald Trump. He says, the jury's 224 00:10:37,080 --> 00:10:40,079 Speaker 6: still out on FBI Director Ray, I think you need 225 00:10:40,120 --> 00:10:42,679 Speaker 6: a new start. On day one, We're going to clean 226 00:10:42,800 --> 00:10:45,440 Speaker 6: house at the Department of Justice. And you know, I 227 00:10:45,480 --> 00:10:48,360 Speaker 6: look back at like the Hunter Biden censorship, which was 228 00:10:48,400 --> 00:10:51,760 Speaker 6: a huge, huge deal to happen in the twenty twenty election, 229 00:10:52,760 --> 00:10:55,960 Speaker 6: and yet you know, those were Donald Trump's own agencies 230 00:10:56,360 --> 00:10:59,640 Speaker 6: that were colluding with big tech. I would never allow 231 00:10:59,640 --> 00:11:03,600 Speaker 6: that to happen. I would fire those people immediately. And 232 00:11:03,640 --> 00:11:08,240 Speaker 6: in fact, in Florida, we've signed legislation that prohibits all 233 00:11:08,360 --> 00:11:12,319 Speaker 6: state and local government officials in our state from colluding 234 00:11:12,320 --> 00:11:15,559 Speaker 6: with tech companies to try to censor the political speech 235 00:11:16,040 --> 00:11:17,040 Speaker 6: of Americans. 236 00:11:17,200 --> 00:11:19,600 Speaker 2: So again I think that on the merits, he has 237 00:11:19,640 --> 00:11:22,080 Speaker 2: an important point. But the problem I think that he 238 00:11:22,160 --> 00:11:24,680 Speaker 2: comes back to is he's like Trump wasn't strong enough 239 00:11:24,679 --> 00:11:27,680 Speaker 2: in going after Trump's opponents, and it's like, well, hold 240 00:11:27,720 --> 00:11:30,240 Speaker 2: on a second here. You know, for Trump, you're still 241 00:11:30,280 --> 00:11:34,080 Speaker 2: making him the central character. And also, whenever it comes 242 00:11:34,120 --> 00:11:37,400 Speaker 2: to this whole like I'm signed the bill, I actually 243 00:11:37,440 --> 00:11:38,560 Speaker 2: did the work. 244 00:11:38,880 --> 00:11:39,200 Speaker 3: Again. 245 00:11:39,280 --> 00:11:41,800 Speaker 2: I'm coming back to almost like an Elizabeth Warren type 246 00:11:42,080 --> 00:11:44,080 Speaker 2: campaign of like, you know, this whole like doing the 247 00:11:44,120 --> 00:11:47,720 Speaker 2: work meme that used to abound really at that time. 248 00:11:47,800 --> 00:11:49,920 Speaker 2: This is something that appeals, I think to a lot 249 00:11:49,920 --> 00:11:52,360 Speaker 2: of policy wonks and you know, people like me, you 250 00:11:52,440 --> 00:11:55,280 Speaker 2: actually pay a deep amount of attention. But that is 251 00:11:55,400 --> 00:11:59,520 Speaker 2: just not how the average voter conceives of anything that 252 00:11:59,600 --> 00:12:02,800 Speaker 2: happened in that time. And if anything, they're like, yeah, 253 00:12:02,880 --> 00:12:05,680 Speaker 2: they censored that story because they're so afraid of Trump. 254 00:12:05,720 --> 00:12:08,480 Speaker 2: Why is nobody so afraid of you? That's why I 255 00:12:08,600 --> 00:12:10,960 Speaker 2: love Trump. That's that seriously, That's how a lot of 256 00:12:10,960 --> 00:12:12,000 Speaker 2: that is going to be interpreted. 257 00:12:12,200 --> 00:12:14,960 Speaker 1: Well, we gave him a hard time early on when 258 00:12:14,960 --> 00:12:17,400 Speaker 1: he wouldn't even say Trump's name, and he's very skittish 259 00:12:17,400 --> 00:12:21,200 Speaker 1: about attacking Trump. Now he is going after him a 260 00:12:21,200 --> 00:12:24,480 Speaker 1: little bit more, staking out some you know, clear positions, 261 00:12:24,520 --> 00:12:27,960 Speaker 1: mostly to his right. But I think we are seeing 262 00:12:28,080 --> 00:12:32,400 Speaker 1: in the polling and especially in DeSantis's favorability ratings why 263 00:12:32,440 --> 00:12:34,720 Speaker 1: that was such a perilous prospect and why he's in 264 00:12:34,720 --> 00:12:38,840 Speaker 1: this impossible situation because obviously you have to go after Trump. 265 00:12:39,080 --> 00:12:41,520 Speaker 1: You have to give people a reason to, you know, 266 00:12:41,640 --> 00:12:43,680 Speaker 1: move off of the guy that they want to vote 267 00:12:43,679 --> 00:12:45,800 Speaker 1: for and that they really like and that they've supported 268 00:12:45,800 --> 00:12:48,240 Speaker 1: for years and years at this point. But at the 269 00:12:48,240 --> 00:12:50,280 Speaker 1: same time, when you hit him, you get a lot 270 00:12:50,280 --> 00:12:52,760 Speaker 1: of blowback. And so, you know, he used to have 271 00:12:52,920 --> 00:12:56,280 Speaker 1: a much higher favorability rating that has started to add 272 00:12:56,400 --> 00:12:59,480 Speaker 1: even among Republican primary voters. And I do think part 273 00:12:59,520 --> 00:13:02,880 Speaker 1: of that is because it is hard to go directly 274 00:13:03,000 --> 00:13:05,560 Speaker 1: up against Donald Trump in a Republican primary. You know, 275 00:13:05,600 --> 00:13:08,080 Speaker 1: I've said this for a while now. There's all kinds 276 00:13:08,080 --> 00:13:11,800 Speaker 1: of critiques you could level at the DeSantis campaign missteps, 277 00:13:11,840 --> 00:13:15,319 Speaker 1: things they maybe could have done different, but given who 278 00:13:15,320 --> 00:13:19,280 Speaker 1: their candidate is, given the landscape, I just think it's 279 00:13:19,360 --> 00:13:21,480 Speaker 1: an impossible puzzle to be. 280 00:13:21,480 --> 00:13:22,640 Speaker 4: Able to put together it. 281 00:13:22,880 --> 00:13:25,200 Speaker 1: Just like, I don't know what I would suggest to 282 00:13:25,280 --> 00:13:28,600 Speaker 1: him to do, because you attack Trump, it's bad for you. 283 00:13:28,640 --> 00:13:30,480 Speaker 1: Don't attack him, then he's just going to stay where 284 00:13:30,520 --> 00:13:33,200 Speaker 1: he is. The Only thing he really has going for 285 00:13:33,240 --> 00:13:35,320 Speaker 1: him right now is like to pray that something weird 286 00:13:35,400 --> 00:13:38,080 Speaker 1: happens and he ends up is like the last man standing, 287 00:13:38,120 --> 00:13:39,240 Speaker 1: because I think that's what it. 288 00:13:39,200 --> 00:13:42,000 Speaker 2: Would take, right I mean, Listen called it a Gordian 289 00:13:42,040 --> 00:13:45,520 Speaker 2: knot at the beginning, and it really does vindicate a 290 00:13:45,520 --> 00:13:48,960 Speaker 2: lot of that. Let's turn specifically to Iowa, where things 291 00:13:49,000 --> 00:13:51,120 Speaker 2: are taking a little bit of a nasty turn. 292 00:13:51,320 --> 00:13:52,719 Speaker 3: First, let's put this up there on the. 293 00:13:52,640 --> 00:13:57,480 Speaker 2: Screen, only really highlighting even more of the DeSantis' problem 294 00:13:57,559 --> 00:14:01,280 Speaker 2: for his need to win Iowa. The latest poll from 295 00:14:01,320 --> 00:14:05,440 Speaker 2: the American Greatness, which is a MAGA friendly organization but 296 00:14:05,480 --> 00:14:08,640 Speaker 2: I should note has had very high quality polls, specifically 297 00:14:08,640 --> 00:14:12,160 Speaker 2: from the GOP in the past, shows Trump beating Ron 298 00:14:12,240 --> 00:14:15,199 Speaker 2: DeSantis by a full twenty three points in the state 299 00:14:15,480 --> 00:14:18,840 Speaker 2: and actually quote bounced back to forty four that he 300 00:14:18,960 --> 00:14:22,960 Speaker 2: had in the May survey, while DeSantis actually lost five 301 00:14:23,320 --> 00:14:27,280 Speaker 2: points from the original May survey. Interestingly enough, Senator Tim 302 00:14:27,320 --> 00:14:30,520 Speaker 2: Scott is the only person with another marginal increase now 303 00:14:30,560 --> 00:14:33,920 Speaker 2: stands at full seven percent. Actually, so the full ranking 304 00:14:34,040 --> 00:14:36,880 Speaker 2: is as such, Trump at forty four, DeSantis twenty one, 305 00:14:37,120 --> 00:14:41,800 Speaker 2: then Haley, Ramaswami, Hudgson, Scott, Pence and others all basically 306 00:14:41,840 --> 00:14:44,720 Speaker 2: taking the rest, with undecided also leading the pack. 307 00:14:44,560 --> 00:14:45,960 Speaker 3: At fourteen percent. 308 00:14:46,040 --> 00:14:50,000 Speaker 2: But again, you know, forty four percent very near and 309 00:14:50,160 --> 00:14:53,520 Speaker 2: outright majority for Trump in the state of Iowa and 310 00:14:53,560 --> 00:14:56,040 Speaker 2: DeSantis needing to not only just make up a few points, 311 00:14:56,040 --> 00:14:58,920 Speaker 2: but literally double and still not get to the place 312 00:14:58,920 --> 00:14:59,880 Speaker 2: where Trump is. 313 00:15:00,160 --> 00:15:01,480 Speaker 3: That is an issue. 314 00:15:01,720 --> 00:15:04,520 Speaker 2: I also think we need to hammer home, Crystal, what 315 00:15:04,560 --> 00:15:08,080 Speaker 2: you were talking about. The DeSantis camp has really settled 316 00:15:08,080 --> 00:15:11,960 Speaker 2: on trying to attack Trump as some sort of cultural leftist. 317 00:15:12,360 --> 00:15:15,000 Speaker 2: And this actually really came to forward with some new 318 00:15:15,040 --> 00:15:17,280 Speaker 2: mailers that people are seeing in IO. Let's go and 319 00:15:17,360 --> 00:15:19,640 Speaker 2: put this up there on the screen as you can 320 00:15:19,680 --> 00:15:21,080 Speaker 2: see there in front of you. 321 00:15:21,160 --> 00:15:23,800 Speaker 3: One of these mailers for those who are just listening, says, 322 00:15:23,840 --> 00:15:25,520 Speaker 3: quote Donald Trump stood. 323 00:15:25,280 --> 00:15:28,720 Speaker 2: Up for marriage equality and trans rights, and the other 324 00:15:28,760 --> 00:15:32,440 Speaker 2: one says thank you President Trump. Trump celebrated gay marriage 325 00:15:32,520 --> 00:15:36,880 Speaker 2: victory mar Lago party with log Cabin Republicans. The one 326 00:15:36,880 --> 00:15:39,760 Speaker 2: that is on the left there about marriage equality and 327 00:15:39,880 --> 00:15:43,280 Speaker 2: trans rights shows like one of those black power fists 328 00:15:43,320 --> 00:15:47,400 Speaker 2: covered in the gay pride flag, and also says contact 329 00:15:47,400 --> 00:15:50,080 Speaker 2: President Trump at forty five office dot com. Tell them 330 00:15:50,080 --> 00:15:53,840 Speaker 2: to keep fighting for LGBTQ rights. It's paid for by 331 00:15:53,920 --> 00:15:57,840 Speaker 2: quote Advancing Our Values, which is a super pack. So 332 00:15:58,000 --> 00:16:01,120 Speaker 2: again this is one of those like shadowy organizations, but 333 00:16:01,160 --> 00:16:04,239 Speaker 2: it clearly is picking up this attack after the DeSantis 334 00:16:04,280 --> 00:16:08,120 Speaker 2: campaign kind of fired out against the former president and 335 00:16:08,240 --> 00:16:11,360 Speaker 2: is trying to portray Trump again in some sort of 336 00:16:11,720 --> 00:16:14,840 Speaker 2: some sort of cultural leftist I. 337 00:16:14,680 --> 00:16:15,520 Speaker 3: Am very curious. 338 00:16:15,560 --> 00:16:17,080 Speaker 2: I mean, I know that you and Emily talked a 339 00:16:17,080 --> 00:16:18,480 Speaker 2: lot about that ad. 340 00:16:18,600 --> 00:16:20,120 Speaker 3: I mean, I don't know. 341 00:16:20,200 --> 00:16:22,560 Speaker 2: It's complicated because on the one hand, like, look, many 342 00:16:22,560 --> 00:16:24,480 Speaker 2: of the GOP base is very fed up with like 343 00:16:24,560 --> 00:16:27,600 Speaker 2: gender ideology and specifically gender ideology towards children. 344 00:16:27,720 --> 00:16:29,400 Speaker 3: That said, there are several. 345 00:16:29,080 --> 00:16:33,600 Speaker 2: Polls that show that even older boomer Republicans support gay marriage, 346 00:16:33,640 --> 00:16:36,000 Speaker 2: So I don't really know why gay marriage is included 347 00:16:36,040 --> 00:16:40,560 Speaker 2: in this mailer. Also, though, let's be fair, Iowa is 348 00:16:40,600 --> 00:16:43,160 Speaker 2: a very conservative state. They've got a lot of Catholics, 349 00:16:43,160 --> 00:16:45,200 Speaker 2: they got a lot of Evangelicals. If you were to 350 00:16:45,280 --> 00:16:48,520 Speaker 2: have a population that does still hold a position against 351 00:16:48,520 --> 00:16:51,680 Speaker 2: gay marriage, it probably would be some of them. Ted 352 00:16:51,760 --> 00:16:56,840 Speaker 2: Cruz won the state of Iowa specifically by marshaling all 353 00:16:56,920 --> 00:17:00,400 Speaker 2: of these evangelical voters and his cruise camps and all. 354 00:17:00,280 --> 00:17:00,880 Speaker 3: That other stuff. 355 00:17:00,880 --> 00:17:04,720 Speaker 2: So it's a viable political strategy, but it does read 356 00:17:04,720 --> 00:17:06,040 Speaker 2: as a bit of a sign of desperation. 357 00:17:06,240 --> 00:17:07,000 Speaker 4: Yeah, I would say so. 358 00:17:07,119 --> 00:17:08,920 Speaker 1: I mean, unlessen we don't know for sure this came 359 00:17:08,920 --> 00:17:11,639 Speaker 1: from the discassion can't, but it certainly is like echoing 360 00:17:11,720 --> 00:17:14,679 Speaker 1: the messaging that they have been telegraphing through a variety 361 00:17:14,720 --> 00:17:16,840 Speaker 1: of their social media posts, et cetera, et cetera. 362 00:17:17,840 --> 00:17:18,840 Speaker 4: But you know the problem. 363 00:17:19,160 --> 00:17:22,119 Speaker 1: The problem is that in that poll we just showed 364 00:17:22,119 --> 00:17:27,680 Speaker 1: to Iowa voters, among Iowa voters who consider themselves very conservative, 365 00:17:28,040 --> 00:17:31,200 Speaker 1: Trump is actually beating DeSantis by even more. He's winning 366 00:17:31,200 --> 00:17:33,679 Speaker 1: an outright majority fifty four to twenty one. And we 367 00:17:33,720 --> 00:17:37,280 Speaker 1: saw a polling previously that showed like people, if you 368 00:17:37,320 --> 00:17:39,840 Speaker 1: ask them, okay, who's further to the right, who's more conservative, 369 00:17:39,880 --> 00:17:41,879 Speaker 1: We'll say Ron DeSantis. And then it's like, okay, and 370 00:17:41,920 --> 00:17:43,760 Speaker 1: you're very conservative, so who are you voting for? 371 00:17:43,800 --> 00:17:45,080 Speaker 4: And there's like Donald Trump. 372 00:17:45,960 --> 00:17:48,840 Speaker 1: I just don't think that the Republican base is really 373 00:17:48,840 --> 00:17:51,280 Speaker 1: going to buy that Donald Trump is a cultural leftist. 374 00:17:51,560 --> 00:17:53,760 Speaker 1: I just don't see that happening. And that's the thing 375 00:17:53,800 --> 00:17:58,800 Speaker 1: is your attacks have to have some grain of truth, 376 00:17:58,960 --> 00:18:02,359 Speaker 1: or they have to feed viscerally like okay, there's some 377 00:18:02,520 --> 00:18:03,240 Speaker 1: there there. 378 00:18:03,400 --> 00:18:04,879 Speaker 4: Otherwise it just falls flat. 379 00:18:05,480 --> 00:18:08,120 Speaker 1: So you know, this is probably a small scale effort, 380 00:18:08,160 --> 00:18:11,320 Speaker 1: this little kind of tricky mailer that purports to be, oh, 381 00:18:11,359 --> 00:18:13,639 Speaker 1: good job, Donald Trump, that you were in favor of 382 00:18:13,640 --> 00:18:16,120 Speaker 1: gay marriage or whatever. And obviously it's sent a Republican 383 00:18:16,160 --> 00:18:18,000 Speaker 1: base that they're thinking is going to read that and 384 00:18:18,000 --> 00:18:20,479 Speaker 1: be like, oh, I don't like that. But you know, 385 00:18:20,520 --> 00:18:24,000 Speaker 1: in a certain sense, it also undercuts DeSantis's electability argument. 386 00:18:24,080 --> 00:18:26,879 Speaker 1: That's the other thing in this Iowa poll is and 387 00:18:26,960 --> 00:18:29,520 Speaker 1: when you ask voters who do you think is more 388 00:18:29,600 --> 00:18:32,400 Speaker 1: likely to beat Biden? Trump comes out on top there. 389 00:18:32,880 --> 00:18:35,640 Speaker 1: Trump comes up out on top. Even among voters who 390 00:18:35,680 --> 00:18:39,160 Speaker 1: have a favorable impression of Ron DeSantis. Trump comes down 391 00:18:39,240 --> 00:18:42,320 Speaker 1: on top among voters who think who like both Trump 392 00:18:42,320 --> 00:18:46,200 Speaker 1: and DeSantis. Those voters are still picking Trump. But yeah, 393 00:18:46,240 --> 00:18:48,160 Speaker 1: I just don't think that this attack has a lot 394 00:18:48,200 --> 00:18:51,680 Speaker 1: of legs because you know, people have lived through years 395 00:18:51,760 --> 00:18:54,600 Speaker 1: of liberal press freak ount over Donald Trump and him 396 00:18:54,640 --> 00:18:58,080 Speaker 1: being very effective at owning the Libs and generating outrage 397 00:18:58,080 --> 00:19:00,080 Speaker 1: and all the right people hating him, and I just 398 00:19:00,119 --> 00:19:02,320 Speaker 1: don't think that they're going to really buy this direction. 399 00:19:02,440 --> 00:19:05,479 Speaker 2: It also reminds me of the New York Values that 400 00:19:05,520 --> 00:19:09,080 Speaker 2: famous moment in the twenty sixteen campaign, which look, I mean, 401 00:19:09,160 --> 00:19:11,640 Speaker 2: at the time it was a novel, right, You're like, hey, 402 00:19:11,720 --> 00:19:15,000 Speaker 2: this guy literally supported gay marriage and abortion. Who does 403 00:19:15,000 --> 00:19:18,280 Speaker 2: he think he is running in a primary? And Cruz 404 00:19:18,880 --> 00:19:22,000 Speaker 2: tried this attack against Trump to try and paint him 405 00:19:22,040 --> 00:19:25,280 Speaker 2: as not a real conservative, real Republican in the race, 406 00:19:25,320 --> 00:19:27,920 Speaker 2: and guess what, people didn't care. They didn't care at all. 407 00:19:28,000 --> 00:19:30,760 Speaker 2: They actually increased their support for him, showing that in 408 00:19:30,800 --> 00:19:33,320 Speaker 2: many cases, a lot of these voters aren't nearly as 409 00:19:33,359 --> 00:19:36,280 Speaker 2: ideological as they purport to be on paper, which is 410 00:19:36,320 --> 00:19:39,040 Speaker 2: something I wish I could continue to underscore to people 411 00:19:39,080 --> 00:19:41,800 Speaker 2: that people don't vote in terms of policy checklists and 412 00:19:41,800 --> 00:19:44,399 Speaker 2: in terms of making sure that they're all fully aligned 413 00:19:44,400 --> 00:19:48,120 Speaker 2: on things, they really vote in terms of how they feel. Trump, though, 414 00:19:48,320 --> 00:19:51,600 Speaker 2: is internalizing the problem in Iowa, even though he does 415 00:19:51,920 --> 00:19:54,960 Speaker 2: remain on top in the fact that the Iowa political 416 00:19:55,200 --> 00:19:59,040 Speaker 2: architecture is not necessarily nearly as behind him as they 417 00:19:59,080 --> 00:20:02,200 Speaker 2: once were. This up there on the screen, Governor Kim 418 00:20:02,280 --> 00:20:06,800 Speaker 2: Reynolds of Iowa has been floating some basically like alliance 419 00:20:06,840 --> 00:20:09,640 Speaker 2: with Ron DeSantis, and DeSantis continues to name check her. 420 00:20:09,960 --> 00:20:13,280 Speaker 2: He says, quote in a truth I love, Iowa protected 421 00:20:13,280 --> 00:20:16,119 Speaker 2: and expanded ethanol, got twenty eight billion dollars from China 422 00:20:16,160 --> 00:20:19,000 Speaker 2: for our farmers, ended the death tax on farms, made 423 00:20:19,040 --> 00:20:21,600 Speaker 2: the best trade deals in history, introduced the world to 424 00:20:21,640 --> 00:20:24,400 Speaker 2: our farmers, and kept Iowa's first in the nation status. 425 00:20:24,560 --> 00:20:27,760 Speaker 2: I opened up the governor position for Kim Reynolds. When 426 00:20:27,800 --> 00:20:30,679 Speaker 2: she fell behind, I endorsed her. I did big rallies, 427 00:20:30,720 --> 00:20:33,760 Speaker 2: and she won. Now she wants to remain quote neutral. 428 00:20:34,080 --> 00:20:34,560 Speaker 3: I didn't. 429 00:20:34,680 --> 00:20:38,400 Speaker 2: I don't invite her two events. Dysanctus is down forty 430 00:20:38,440 --> 00:20:42,680 Speaker 2: five points now, as this pundit is noting, he is 431 00:20:42,720 --> 00:20:46,320 Speaker 2: now openly attacking the popular governor of Iowa, Kim Reynolds. 432 00:20:46,320 --> 00:20:47,160 Speaker 3: But here's the thing. 433 00:20:47,320 --> 00:20:50,000 Speaker 2: If anybody could get away with it and still be popular, 434 00:20:50,200 --> 00:20:53,040 Speaker 2: it's his name is Trump. And this also shows you 435 00:20:53,119 --> 00:20:55,399 Speaker 2: that the real bind I think that Kim Reynolds and 436 00:20:55,440 --> 00:20:58,639 Speaker 2: many of these Iowa officials are people like Senator Joni Ernst. 437 00:20:58,800 --> 00:21:00,680 Speaker 3: Trump didn't show up to her, but. 438 00:21:00,680 --> 00:21:03,280 Speaker 2: He doesn't ever seem to pay for any of these things. 439 00:21:03,280 --> 00:21:06,000 Speaker 2: He skips the des moines what affair or whatever that 440 00:21:06,080 --> 00:21:08,119 Speaker 2: DeSantis makes a show of going to. 441 00:21:08,280 --> 00:21:10,800 Speaker 3: But then the poll comes out show him and double digits. 442 00:21:10,880 --> 00:21:15,399 Speaker 2: Yeah, these ming ground literally, yeah, these Iowa politicians and 443 00:21:15,440 --> 00:21:18,199 Speaker 2: all these others, you know, Terry Brandstad and all these 444 00:21:18,240 --> 00:21:21,000 Speaker 2: people who used to work for him. They still have 445 00:21:21,240 --> 00:21:24,000 Speaker 2: yet remained, you know, kind of distant from Trump in 446 00:21:24,080 --> 00:21:26,680 Speaker 2: terms of their support. But at the end of the day, 447 00:21:26,720 --> 00:21:28,360 Speaker 2: and you know, many of them are trying to kind 448 00:21:28,359 --> 00:21:31,040 Speaker 2: of push DeSantis behind the scenes. But as you can 449 00:21:31,080 --> 00:21:33,480 Speaker 2: see too, if he gets even an inkling if you 450 00:21:33,560 --> 00:21:36,240 Speaker 2: remaining neutral, he will full blown just attack you. And 451 00:21:36,280 --> 00:21:38,560 Speaker 2: that's a problem for you. Yeah, never comes to GOP prime. 452 00:21:38,680 --> 00:21:40,600 Speaker 1: I mean, that's the thing is Kim Renolds hasn't even 453 00:21:40,720 --> 00:21:43,360 Speaker 1: really picked anew even though I mean, I guess she's 454 00:21:43,359 --> 00:21:45,359 Speaker 1: been shown up like she was at that Mama's for 455 00:21:45,480 --> 00:21:46,280 Speaker 1: DeSantis event. 456 00:21:46,480 --> 00:21:47,560 Speaker 3: She would adorse. 457 00:21:47,200 --> 00:21:49,679 Speaker 1: DeSantis if she could, if she if she felt like 458 00:21:49,880 --> 00:21:52,960 Speaker 1: it wouldn't be a sort of death wish, political dust wish. 459 00:21:53,119 --> 00:21:56,600 Speaker 1: She clearly favors DeSantis, but wants to stay neutral because she, 460 00:21:56,920 --> 00:21:59,679 Speaker 1: you know, thinks that that's the smartest decision for her politically. 461 00:22:00,200 --> 00:22:02,399 Speaker 1: But yeah, the normal rules of politics just don't apply 462 00:22:02,480 --> 00:22:03,800 Speaker 1: to Donald Trump, and they never have. 463 00:22:04,080 --> 00:22:05,720 Speaker 4: And you know, anyone. 464 00:22:05,320 --> 00:22:08,640 Speaker 1: Who thought like I'm going to rack up endorsements from 465 00:22:08,680 --> 00:22:11,520 Speaker 1: this popular governor that one, or Kim Reynolds is going 466 00:22:11,600 --> 00:22:14,720 Speaker 1: to appear at my like Women's Women for DeSantis event 467 00:22:14,840 --> 00:22:17,040 Speaker 1: or whatever, and that's going to be the key or 468 00:22:17,119 --> 00:22:19,199 Speaker 1: who thought, like DeSantis, I'm going to go through a 469 00:22:19,280 --> 00:22:23,000 Speaker 1: checklist of conservative policy priorities and pass them through the legislature. 470 00:22:23,680 --> 00:22:25,919 Speaker 1: None of the stuff is going to be is going 471 00:22:26,000 --> 00:22:28,639 Speaker 1: to work. That's just the bottom line. And you know 472 00:22:29,119 --> 00:22:31,720 Speaker 1: we've seen this in the past too. Even Look, he's 473 00:22:31,760 --> 00:22:35,080 Speaker 1: attacking DeSantis, who's popular in Florida with Republicans, and he's 474 00:22:35,119 --> 00:22:38,160 Speaker 1: going up in the polls. He you know, went aggressively 475 00:22:38,200 --> 00:22:40,800 Speaker 1: against Brian Kemp, who still was able to win reelection. 476 00:22:40,920 --> 00:22:44,400 Speaker 1: But I guarantee you who's probably up in Georgia as well, Iowa. 477 00:22:44,080 --> 00:22:44,600 Speaker 4: The same thing. 478 00:22:44,640 --> 00:22:46,439 Speaker 1: Do I think it's going to hurt him even a 479 00:22:46,480 --> 00:22:50,639 Speaker 1: tiny bit to go after a governor who Republicans like. No, 480 00:22:50,920 --> 00:22:53,400 Speaker 1: because they may like her, they probably like Trump even better. 481 00:22:53,440 --> 00:22:55,560 Speaker 2: You know, Brian Camp is actually a great example because 482 00:22:55,600 --> 00:22:58,760 Speaker 2: Brian Camp, despite being viciously attacked by Trump, you haven't 483 00:22:58,800 --> 00:23:01,359 Speaker 2: never actually responded, and he never made it about Trump. 484 00:23:01,400 --> 00:23:03,480 Speaker 2: He was just like, I'm a conservative, I've been standing 485 00:23:03,520 --> 00:23:05,520 Speaker 2: up for you guys. He never answered any of the 486 00:23:05,520 --> 00:23:07,960 Speaker 2: critiques and he never put Trump's name in his mouth. 487 00:23:08,200 --> 00:23:11,159 Speaker 2: By doing that, it was smart because he basically gave 488 00:23:11,200 --> 00:23:13,120 Speaker 2: people a choice. Says, look, I'm not against the guy. 489 00:23:13,359 --> 00:23:15,520 Speaker 2: We know we have this difference on all of this, 490 00:23:15,680 --> 00:23:18,199 Speaker 2: but I'm not running as some sort of anti Trump 491 00:23:18,359 --> 00:23:21,040 Speaker 2: Republican like Chris Christy. And there's a reason, by the way, 492 00:23:21,080 --> 00:23:24,320 Speaker 2: why Chris Christy has the lowest approval rating of any 493 00:23:24,440 --> 00:23:28,000 Speaker 2: Republican primary, any Republican primary aspirant, and. 494 00:23:28,000 --> 00:23:30,080 Speaker 3: It's because he directly takes Trump on. 495 00:23:30,359 --> 00:23:32,520 Speaker 2: The more that you go against him, you know, you 496 00:23:32,520 --> 00:23:34,800 Speaker 2: can try and have some distance between you. But if 497 00:23:34,800 --> 00:23:36,920 Speaker 2: you're saying his name and trying to draw this contrast, 498 00:23:37,160 --> 00:23:39,440 Speaker 2: people read this as an attack. I'll just end with this. 499 00:23:39,720 --> 00:23:42,600 Speaker 2: DeSantis put out a tweet trying to capitalize on the 500 00:23:42,640 --> 00:23:45,520 Speaker 2: divide with Kim Reynolds. He says, quote, Kim Reynolds is 501 00:23:45,520 --> 00:23:48,399 Speaker 2: a strong leader who knows how to ignore the chirping 502 00:23:48,520 --> 00:23:51,200 Speaker 2: and get it done. She earned a landslide reelection because 503 00:23:51,240 --> 00:23:53,960 Speaker 2: she delivered big results and is poised to deliver even 504 00:23:54,000 --> 00:23:57,080 Speaker 2: more for Iowans in the special session. So he continues 505 00:23:57,119 --> 00:23:59,960 Speaker 2: to court her. He basically doesn't open his mouth without saying, look, 506 00:24:00,119 --> 00:24:04,160 Speaker 2: Governor Kim Riddles in Iowa, which is the smart play, 507 00:24:04,440 --> 00:24:06,639 Speaker 2: and he needs to continue to go all in on 508 00:24:06,680 --> 00:24:08,760 Speaker 2: Iowa if he wants to have any chance of then 509 00:24:08,800 --> 00:24:10,959 Speaker 2: winning New Hampshire and having a chance in Super Tuesday. 510 00:24:10,960 --> 00:24:15,600 Speaker 1: People just really overestimate how much normal voters like really 511 00:24:15,640 --> 00:24:17,080 Speaker 1: love these governors. 512 00:24:17,119 --> 00:24:19,280 Speaker 4: Okay, they voted for her. Yeah, they don't like. 513 00:24:19,240 --> 00:24:21,960 Speaker 1: Democrats and she was the Republican so they voted for her. 514 00:24:22,040 --> 00:24:24,280 Speaker 1: But are the Oh my god, Kim Reynolds, She's amazing. 515 00:24:24,320 --> 00:24:26,720 Speaker 1: I would do anything for Kim Reynolds. Whatever she says goes, 516 00:24:27,040 --> 00:24:27,879 Speaker 1: I highly doubt it. 517 00:24:28,840 --> 00:24:29,719 Speaker 4: I highly doubt it. 518 00:24:32,520 --> 00:24:34,359 Speaker 2: All right, let's talk a little bit about threads. I 519 00:24:34,359 --> 00:24:36,359 Speaker 2: want to give everybody an important update. Let's put this 520 00:24:36,440 --> 00:24:40,440 Speaker 2: up there on the screen. Mark Zuckerberg revealing yesterday Instagram's 521 00:24:40,480 --> 00:24:44,639 Speaker 2: threads has now surpassed one hundred million users, blowing out 522 00:24:44,880 --> 00:24:49,399 Speaker 2: expectations far more than anybody thought whenever they launched. The 523 00:24:49,440 --> 00:24:51,960 Speaker 2: reason why this is important, Crystal, is what we told 524 00:24:52,000 --> 00:24:55,919 Speaker 2: everybody yesterday, which is that at the last November, whenever 525 00:24:55,960 --> 00:24:59,600 Speaker 2: Twitter was forced to actually tell everyone how many users 526 00:24:59,640 --> 00:25:02,879 Speaker 2: they have, they listed some two hundred and sixty million 527 00:25:03,320 --> 00:25:07,560 Speaker 2: monetizable daily active users that was actually from Elon Musk 528 00:25:07,640 --> 00:25:10,520 Speaker 2: at the time. However, it is important to even question 529 00:25:10,600 --> 00:25:13,879 Speaker 2: that two hundred and sixty million figure because as Elon 530 00:25:14,080 --> 00:25:17,879 Speaker 2: famously tried to get his way out of that actual deal, 531 00:25:18,200 --> 00:25:20,480 Speaker 2: he kept saying that as much as five to twenty 532 00:25:20,560 --> 00:25:23,440 Speaker 2: percent of those people may be bought, so that actual 533 00:25:23,520 --> 00:25:28,119 Speaker 2: number may be lower. Regardless, getting to one hundred million 534 00:25:28,200 --> 00:25:31,320 Speaker 2: after just a few days in terms of your users 535 00:25:31,600 --> 00:25:35,920 Speaker 2: and sign ups is a blowout victory, considering that Threads 536 00:25:36,000 --> 00:25:39,159 Speaker 2: has almost none of the same functionality outside of the 537 00:25:39,200 --> 00:25:42,119 Speaker 2: mobile app that Twitter has. You can't use it on desktop. 538 00:25:42,720 --> 00:25:46,000 Speaker 2: It is still like your following page. Everything is controlled 539 00:25:46,200 --> 00:25:49,760 Speaker 2: by the algorithm. It doesn't even have like proper dms. 540 00:25:50,080 --> 00:25:54,160 Speaker 2: And yet apparently the carryover and the ease of sign 541 00:25:54,280 --> 00:25:58,560 Speaker 2: up from Instagram bringing your followers on has been a 542 00:25:58,760 --> 00:26:01,280 Speaker 2: major victory. Now, look, at the same time, we've seen 543 00:26:01,320 --> 00:26:03,080 Speaker 2: this thing before. I was one of those people who 544 00:26:03,080 --> 00:26:05,440 Speaker 2: thought Clubhouse might work. Turned out to be a total 545 00:26:05,440 --> 00:26:07,919 Speaker 2: flash in the pan. So I've seen this type of 546 00:26:07,960 --> 00:26:11,520 Speaker 2: hype before. But you know, Threads has now reached one 547 00:26:11,560 --> 00:26:15,280 Speaker 2: hundred million faster than chat GPT. Consider that in terms 548 00:26:15,280 --> 00:26:18,399 Speaker 2: of the level of cultural impact the chat GPT was 549 00:26:18,440 --> 00:26:21,320 Speaker 2: having at the time. I've increasingly been trying to use threads, 550 00:26:21,440 --> 00:26:23,879 Speaker 2: like check it out, see how people are using it. 551 00:26:23,920 --> 00:26:24,960 Speaker 3: I'm really interested. 552 00:26:25,000 --> 00:26:27,520 Speaker 2: So first and foremost, in terms of I've talked about before, 553 00:26:28,160 --> 00:26:30,480 Speaker 2: I think that the photo functionality on threads is far 554 00:26:30,560 --> 00:26:33,199 Speaker 2: superior in terms of the cropping. I actually tried tweeting 555 00:26:33,200 --> 00:26:36,840 Speaker 2: out a photo yesterday was fantastic. The load time on 556 00:26:36,960 --> 00:26:41,240 Speaker 2: videos and other things, carrying over again from Instagram's core functionality, 557 00:26:41,320 --> 00:26:44,800 Speaker 2: seems really good. The things that it still needs properly 558 00:26:44,880 --> 00:26:46,640 Speaker 2: to fix, the retweet. 559 00:26:46,200 --> 00:26:48,439 Speaker 3: Function or the rep thread function or whatever. 560 00:26:48,520 --> 00:26:50,920 Speaker 2: It doesn't have the ability to quote tweet, It doesn't 561 00:26:50,960 --> 00:26:54,320 Speaker 2: yet seem to have the same political discourse and all 562 00:26:54,359 --> 00:26:57,000 Speaker 2: of that. But I am seeing like little niche things 563 00:26:57,040 --> 00:26:59,520 Speaker 2: begin to pop up, health and fitness people in particular, 564 00:26:59,520 --> 00:27:01,959 Speaker 2: who I've seem to get a lot of functionality. 565 00:27:01,960 --> 00:27:03,400 Speaker 3: I could see that out of threads. 566 00:27:03,119 --> 00:27:04,359 Speaker 4: Right now, I could definitely see that. 567 00:27:04,520 --> 00:27:08,000 Speaker 1: I mean, the play it seems like from Zuckerberg is 568 00:27:08,400 --> 00:27:11,159 Speaker 1: we're going to make a Twitter competitor, but we're going 569 00:27:11,240 --> 00:27:14,239 Speaker 1: to try to keep the vibe of Instagram, which, if 570 00:27:14,280 --> 00:27:18,200 Speaker 1: you guys aren't on Instagram, it's a much nicer, friendlier culture. 571 00:27:18,640 --> 00:27:22,160 Speaker 1: Then Twitter is like nasty and snarky, and you can 572 00:27:22,440 --> 00:27:25,240 Speaker 1: famously post like the most anodyne thing and people will 573 00:27:25,240 --> 00:27:27,400 Speaker 1: still find some way to be mean to you. That's 574 00:27:27,440 --> 00:27:31,040 Speaker 1: just like the way Twitter is for whatever reason. And 575 00:27:31,119 --> 00:27:34,840 Speaker 1: so yesterday we talked about how the headed of Instagram 576 00:27:34,880 --> 00:27:36,960 Speaker 1: was basically saying like, look, we don't really want news 577 00:27:36,960 --> 00:27:41,119 Speaker 1: and politics here. And since the feeds are all algorithmically driven, 578 00:27:41,240 --> 00:27:43,680 Speaker 1: so they're putting in front of you what they want 579 00:27:43,720 --> 00:27:46,960 Speaker 1: to serve, they have a lot of control over what 580 00:27:47,040 --> 00:27:50,480 Speaker 1: takes off and what gets suppressed. In a lot of ways, 581 00:27:50,520 --> 00:27:53,920 Speaker 1: it's way more opaque than you know, the type of 582 00:27:54,080 --> 00:27:56,600 Speaker 1: control that if you have the Twitter feeds set up 583 00:27:56,640 --> 00:28:00,320 Speaker 1: where it's just you know, fire hose chronologically of the 584 00:28:00,359 --> 00:28:03,960 Speaker 1: people that you're following over on threads, they have a 585 00:28:04,000 --> 00:28:07,120 Speaker 1: lot more control and you have a lot less visibility 586 00:28:07,200 --> 00:28:09,440 Speaker 1: into how they are making the decisions of what you're 587 00:28:09,440 --> 00:28:11,560 Speaker 1: going to see and what you're not going to see. 588 00:28:11,960 --> 00:28:14,480 Speaker 1: So it seems like the direction they're going in is 589 00:28:14,560 --> 00:28:16,240 Speaker 1: they don't really want it to be the place for 590 00:28:16,280 --> 00:28:19,480 Speaker 1: news and politics because news and politics is divisive, it's controversial, 591 00:28:19,520 --> 00:28:21,400 Speaker 1: it's a pain in the ass for advertisers, so they'd 592 00:28:21,440 --> 00:28:24,280 Speaker 1: rather not deal with it, and if they want to 593 00:28:24,359 --> 00:28:28,560 Speaker 1: keep the happy, friendly vibe of Instagram, which is genuinely nice, 594 00:28:28,680 --> 00:28:31,400 Speaker 1: like Kyle's not on Instagram and every time I show 595 00:28:31,440 --> 00:28:33,680 Speaker 1: them a post and like all the comments underneath. 596 00:28:33,240 --> 00:28:35,479 Speaker 4: Are like wait a go, You're so great. It's like, 597 00:28:35,640 --> 00:28:37,280 Speaker 4: what is this place? This is crazy? 598 00:28:37,640 --> 00:28:39,480 Speaker 1: So I mean, I think in order to try to 599 00:28:39,560 --> 00:28:41,760 Speaker 1: keep that vibe, they're just basically like, we're not going 600 00:28:41,800 --> 00:28:44,400 Speaker 1: to do politics, and I think that that really kind 601 00:28:44,400 --> 00:28:46,960 Speaker 1: of sucks in terms of whether it's going to be 602 00:28:47,000 --> 00:28:50,200 Speaker 1: a success or not. Who knows, but just to give 603 00:28:50,240 --> 00:28:54,440 Speaker 1: you a sense, one hundred million users that's how many 604 00:28:54,800 --> 00:28:57,800 Speaker 1: US TikTok users there are. I mean, this is these 605 00:28:57,800 --> 00:29:00,880 Speaker 1: are giant numbers. This is like already puts it in 606 00:29:01,040 --> 00:29:05,680 Speaker 1: league with some major social media competitors and we're not 607 00:29:05,800 --> 00:29:08,880 Speaker 1: even a week in. So I do think the fact 608 00:29:08,920 --> 00:29:10,960 Speaker 1: that you had so many people who could port over 609 00:29:11,000 --> 00:29:14,400 Speaker 1: so easily from Instagram was you cannot understate what a 610 00:29:14,480 --> 00:29:18,200 Speaker 1: huge advantage that was because you instantly come in and 611 00:29:18,240 --> 00:29:20,720 Speaker 1: have people to talk to, you already have engagement with 612 00:29:20,760 --> 00:29:23,680 Speaker 1: your posts, whereas when you're starting from scratch over on 613 00:29:23,800 --> 00:29:26,920 Speaker 1: Mastadon or Blue Sky or whatever, and you're in there 614 00:29:26,920 --> 00:29:28,840 Speaker 1: and you feel like you're talking to yourself and no 615 00:29:28,840 --> 00:29:31,880 Speaker 1: one even knows you exist. It takes a while to 616 00:29:31,960 --> 00:29:35,560 Speaker 1: really get over that hump, especially if you've built up 617 00:29:35,560 --> 00:29:36,840 Speaker 1: a following somewhere else. 618 00:29:36,880 --> 00:29:38,560 Speaker 4: It's hard to just give that up and go to 619 00:29:38,600 --> 00:29:39,400 Speaker 4: a different platform. 620 00:29:39,480 --> 00:29:42,040 Speaker 2: Exactly, And already we're beginning to see this cut into 621 00:29:42,080 --> 00:29:44,480 Speaker 2: Twitter's margins. Go and put this up there on the screen. 622 00:29:44,560 --> 00:29:48,160 Speaker 2: Twitter traffic is down some five percent on the launch 623 00:29:48,240 --> 00:29:51,800 Speaker 2: of Threads. This is from cloud Flare data by the CEO, 624 00:29:52,160 --> 00:29:54,880 Speaker 2: Matthew Prince, and it is also backed up by an 625 00:29:54,960 --> 00:29:58,760 Speaker 2: independent analysis at CNBC looked at guys, please put the 626 00:29:58,800 --> 00:30:01,760 Speaker 2: next one up there on the screen. CNB Cudy describes 627 00:30:01,800 --> 00:30:05,080 Speaker 2: it this way, quote, Twitter traffic is tanking as metas 628 00:30:05,080 --> 00:30:07,800 Speaker 2: Threads hits one hundred million users. 629 00:30:08,000 --> 00:30:10,280 Speaker 3: They not only showed the number. 630 00:30:10,000 --> 00:30:14,280 Speaker 2: Of the level of drop in the overall traffic, but 631 00:30:14,320 --> 00:30:17,120 Speaker 2: they say that Twitter traffic was down five percent for 632 00:30:17,160 --> 00:30:20,160 Speaker 2: the first two full days that Threads was available, and 633 00:30:20,520 --> 00:30:24,160 Speaker 2: that web traffic is down a full eleven percent compared 634 00:30:24,200 --> 00:30:27,000 Speaker 2: with the same days in twenty twenty two. Now let's 635 00:30:27,000 --> 00:30:29,880 Speaker 2: also be honest, like this is a small sample size. 636 00:30:29,880 --> 00:30:32,400 Speaker 2: We only have a couple of days here. The Twitter 637 00:30:32,440 --> 00:30:37,280 Speaker 2: team is actually firing back the new CEO, Linda Yakarino. 638 00:30:37,400 --> 00:30:39,760 Speaker 2: I think that's the right way to say, says quote, 639 00:30:39,880 --> 00:30:42,200 Speaker 2: don't want to leave you hanging by a thread. But Twitter, 640 00:30:42,280 --> 00:30:45,280 Speaker 2: you outdid yourselves last week. We had our largest usage 641 00:30:45,360 --> 00:30:49,080 Speaker 2: day since February. There is only one Twitter. You know it, 642 00:30:49,160 --> 00:30:53,320 Speaker 2: and I know it. Elon replying. Cumulative user seconds per 643 00:30:53,440 --> 00:30:57,160 Speaker 2: day of phone screen time, as reported by iOS and 644 00:30:57,160 --> 00:30:59,920 Speaker 2: Android is the hardest to game. I think we may 645 00:31:00,160 --> 00:31:02,640 Speaker 2: hit an all time record this week. 646 00:31:02,720 --> 00:31:06,200 Speaker 3: So time on app. Look, first of all, I just 647 00:31:06,200 --> 00:31:06,760 Speaker 3: want to say this. 648 00:31:06,880 --> 00:31:09,320 Speaker 2: I think all these metrics are fake in terms of 649 00:31:09,360 --> 00:31:11,720 Speaker 2: like user seconds, cumulative screen. 650 00:31:11,480 --> 00:31:12,560 Speaker 3: Time, all of that. 651 00:31:12,640 --> 00:31:16,200 Speaker 2: The probably one that matters the most is time on app. 652 00:31:16,480 --> 00:31:19,240 Speaker 2: That's what Zuckerberg and all of them always focused on 653 00:31:19,280 --> 00:31:23,080 Speaker 2: whenever it came down to Instagram versus TikTok. So you know, 654 00:31:23,240 --> 00:31:25,840 Speaker 2: I'm calling on everyone to release those figures. 655 00:31:26,960 --> 00:31:28,200 Speaker 3: I doubt that they ever. 656 00:31:28,800 --> 00:31:30,480 Speaker 4: Actually get Twitter files going on that. 657 00:31:30,560 --> 00:31:32,800 Speaker 2: Yeah, let's get the Twitter files and the thread files 658 00:31:33,040 --> 00:31:36,760 Speaker 2: and all of that stuff happening here. But overall, I 659 00:31:36,760 --> 00:31:39,920 Speaker 2: think what we can say is is Threads the Twitter killer. 660 00:31:40,320 --> 00:31:43,880 Speaker 2: Way too soon to tell, very likely, though I don't 661 00:31:43,880 --> 00:31:46,920 Speaker 2: think that it will be, because it is clear that 662 00:31:46,960 --> 00:31:50,520 Speaker 2: their strategy is we don't want all the divisive stuff. 663 00:31:50,760 --> 00:31:54,480 Speaker 2: We want all the monetizable stuff. They will port over 664 00:31:54,840 --> 00:31:59,560 Speaker 2: health and fitness, sports, all of these other you know, influencers, 665 00:31:59,600 --> 00:32:02,880 Speaker 2: people Lebron that they have great relationships with over from 666 00:32:02,880 --> 00:32:05,600 Speaker 2: their Instagram Partnerships team, and they'll be like, all right, 667 00:32:05,600 --> 00:32:07,880 Speaker 2: Elon and Linda, you guys can take all this. 668 00:32:07,880 --> 00:32:10,440 Speaker 3: Sudden crap, deal with censorship problems. 669 00:32:10,480 --> 00:32:12,480 Speaker 2: We don't want anything to do with it. We're gonna 670 00:32:12,480 --> 00:32:14,320 Speaker 2: sit here and laugh all the way to the bank. 671 00:32:14,760 --> 00:32:17,800 Speaker 2: Not a bad strategy. However, as a user, it's not 672 00:32:17,880 --> 00:32:19,360 Speaker 2: great because at the end of the day, you know, 673 00:32:19,440 --> 00:32:21,560 Speaker 2: the Internet selects for monopolies. 674 00:32:21,600 --> 00:32:22,760 Speaker 3: That's why it is. 675 00:32:22,800 --> 00:32:25,320 Speaker 2: You know, it's easier to use whenever one place where 676 00:32:25,320 --> 00:32:27,440 Speaker 2: everything is. So now what we're gonna have two apps, Like, 677 00:32:27,440 --> 00:32:29,320 Speaker 2: when you want to check in on culture, let's go 678 00:32:29,360 --> 00:32:31,400 Speaker 2: to Threads. When you want to check in on politics, 679 00:32:31,600 --> 00:32:33,680 Speaker 2: let's go to Twitter. That's a pain in the ass 680 00:32:34,240 --> 00:32:37,000 Speaker 2: from your in my perspective, but I've also come to 681 00:32:37,040 --> 00:32:39,320 Speaker 2: accept like maybe that's a good thing. I actually, you know, 682 00:32:39,440 --> 00:32:42,240 Speaker 2: maybe not one platform does deserve to have everything. But 683 00:32:42,360 --> 00:32:45,320 Speaker 2: the really unfortunate part is it wasn't a real startup 684 00:32:45,600 --> 00:32:47,640 Speaker 2: that was able to come in and gain one hundred 685 00:32:47,640 --> 00:32:50,640 Speaker 2: million users. It was an existing, you know, one one 686 00:32:50,720 --> 00:32:54,600 Speaker 2: trillion dollar social media company. But it does show you 687 00:32:54,760 --> 00:32:57,640 Speaker 2: quite a bit of savvness that Mark Zuckerberg has. He's 688 00:32:57,680 --> 00:33:00,720 Speaker 2: basically doing to Twitter what he did to Snapchat with 689 00:33:00,760 --> 00:33:04,400 Speaker 2: the invention of Instagram Stories. It took Snapchat years to 690 00:33:04,400 --> 00:33:05,479 Speaker 2: be able to catch back up. 691 00:33:05,640 --> 00:33:08,719 Speaker 1: Yeah, that is true. I mean, this is something. Zuckerberg 692 00:33:08,840 --> 00:33:11,080 Speaker 1: at this point has a horrific record in terms of 693 00:33:11,080 --> 00:33:15,240 Speaker 1: innovating new products, like the whole metaverse thing sporal disaster, 694 00:33:15,560 --> 00:33:19,320 Speaker 1: like one hundred percent fluff disaster. That sort of vision 695 00:33:19,360 --> 00:33:19,760 Speaker 1: isn't there. 696 00:33:19,800 --> 00:33:20,520 Speaker 4: But he does have a. 697 00:33:20,440 --> 00:33:22,720 Speaker 1: Pretty good track record of seeing what is working in 698 00:33:22,760 --> 00:33:25,880 Speaker 1: the marketplace, replicating it, and you know, being able to 699 00:33:25,920 --> 00:33:29,200 Speaker 1: grab market share and have an impact in that way. 700 00:33:29,320 --> 00:33:32,800 Speaker 1: So he does seem to know how to do that piece. Yeah, 701 00:33:32,840 --> 00:33:35,840 Speaker 1: I can see a world where news and politics basically 702 00:33:35,880 --> 00:33:40,640 Speaker 1: stays over on Twitter because Zuckerberg suppresses it on threads 703 00:33:40,680 --> 00:33:43,080 Speaker 1: and just doesn't really become the thing over on Threads, 704 00:33:43,120 --> 00:33:43,560 Speaker 1: and you have. 705 00:33:43,600 --> 00:33:44,960 Speaker 4: This sort of like bifurcation. 706 00:33:45,360 --> 00:33:48,680 Speaker 1: You may also have some like ideological bifurcation where more 707 00:33:48,760 --> 00:33:51,400 Speaker 1: right wing people stay on Twitter, where more liberal or 708 00:33:51,480 --> 00:33:54,960 Speaker 1: left wing people migrate to threads or other platforms. So 709 00:33:55,000 --> 00:33:58,000 Speaker 1: I could see that happening as well. But you know, 710 00:33:58,120 --> 00:34:03,160 Speaker 1: for Elon, if becomes more we use it for Douce 711 00:34:03,200 --> 00:34:05,480 Speaker 1: and politics especially, I use it for Douce, but I 712 00:34:05,480 --> 00:34:07,600 Speaker 1: don't really look at any of the cultural stuff, but 713 00:34:08,560 --> 00:34:10,960 Speaker 1: that there is a lot of that on Twitter as well. 714 00:34:11,440 --> 00:34:15,360 Speaker 1: So if Zuckerberg is eating into that piece, which is 715 00:34:15,400 --> 00:34:20,399 Speaker 1: the most easily monetizable, that's a real problem for him 716 00:34:20,400 --> 00:34:23,799 Speaker 1: from a business perspective. And you know, I think that 717 00:34:24,239 --> 00:34:27,360 Speaker 1: one of the things that Elon wants to do, which 718 00:34:27,600 --> 00:34:30,880 Speaker 1: may create a better platform in terms of you know, 719 00:34:30,920 --> 00:34:32,840 Speaker 1: some of the key values that he claims to spouse, 720 00:34:32,880 --> 00:34:35,440 Speaker 1: like form speech, is to move it from dependency on 721 00:34:35,520 --> 00:34:40,560 Speaker 1: advertising revenue to dependency on subscription revenue. But we also 722 00:34:40,600 --> 00:34:43,719 Speaker 1: have to say, thus far, he's been wildly unsuccessful at that, 723 00:34:43,880 --> 00:34:47,080 Speaker 1: partly because of his own foolish missteps and basically like 724 00:34:47,200 --> 00:34:50,959 Speaker 1: antagonizing some of the core part of the creator base 725 00:34:51,080 --> 00:34:53,360 Speaker 1: on Twitter and make it so that people out of 726 00:34:53,440 --> 00:34:55,680 Speaker 1: spiite do not want to pay your eight dollars no 727 00:34:55,760 --> 00:34:58,560 Speaker 1: matter what you do to try to coerce them into 728 00:34:58,600 --> 00:35:00,840 Speaker 1: doing it. In fact, at this point, you know things 729 00:35:00,920 --> 00:35:04,440 Speaker 1: like the rate limit where you can't view more tweets 730 00:35:04,520 --> 00:35:06,879 Speaker 1: than six hundred a day or whatever unless you pay 731 00:35:06,880 --> 00:35:10,719 Speaker 1: for the check marketc. It doesn't make people want to 732 00:35:10,719 --> 00:35:13,160 Speaker 1: become a blue check mark. It makes them even more like, 733 00:35:13,239 --> 00:35:15,359 Speaker 1: screw you. I'm going to see what's going on over 734 00:35:15,400 --> 00:35:17,920 Speaker 1: on Threats. So I do think that this kind of 735 00:35:18,000 --> 00:35:20,239 Speaker 1: is a perfect storm because at the same time you 736 00:35:20,320 --> 00:35:23,360 Speaker 1: have this new product which seems relatively well designed and 737 00:35:23,400 --> 00:35:25,840 Speaker 1: easy to port over onto, and all of those things 738 00:35:25,920 --> 00:35:29,480 Speaker 1: comes into existence is at the very time when Elon 739 00:35:29,640 --> 00:35:32,480 Speaker 1: is making some of his worst and most foolish decisions 740 00:35:32,560 --> 00:35:35,960 Speaker 1: and doing everything he can to make the Twitter user 741 00:35:36,040 --> 00:35:38,680 Speaker 1: experience miserable and push people off of. 742 00:35:38,680 --> 00:35:39,480 Speaker 4: His own platform. 743 00:35:39,560 --> 00:35:41,520 Speaker 2: Yeah, I do think it is a big problem. Let's 744 00:35:41,600 --> 00:35:45,160 Speaker 2: turn now to what Elon is trying to do in response. 745 00:35:45,280 --> 00:35:48,360 Speaker 2: Elon trying to make a play into both video and 746 00:35:48,440 --> 00:35:51,040 Speaker 2: to try and create some sort of rev share in 747 00:35:51,080 --> 00:35:53,919 Speaker 2: the same way that YouTube has with their YouTube Ad 748 00:35:53,960 --> 00:35:56,399 Speaker 2: Partners program, Let's go ahead and put this up there 749 00:35:56,440 --> 00:36:01,440 Speaker 2: on the screen. Elon effectively begging again, yes, mister Beast 750 00:36:01,480 --> 00:36:05,480 Speaker 2: to try and bring some of his videos over onto Twitter. 751 00:36:05,760 --> 00:36:08,960 Speaker 2: Mister Beast tweeted out quote neuvid which shows some new 752 00:36:09,360 --> 00:36:12,520 Speaker 2: views that he's been getting on over on the platform. 753 00:36:12,640 --> 00:36:17,280 Speaker 2: Elon says, post to this platform too, earnings perview should 754 00:36:17,280 --> 00:36:21,239 Speaker 2: be competitive with YouTube. If not, we will adjust, which 755 00:36:21,320 --> 00:36:25,080 Speaker 2: means I mean he's trying to increase the level of 756 00:36:25,200 --> 00:36:28,000 Speaker 2: video content that we're going to see on Twitter. But 757 00:36:28,360 --> 00:36:31,279 Speaker 2: this is a very difficult game, and I don't think 758 00:36:31,360 --> 00:36:32,959 Speaker 2: yet that they fully. 759 00:36:32,640 --> 00:36:34,600 Speaker 3: Have internalized what they're looking for. 760 00:36:34,719 --> 00:36:38,799 Speaker 2: Because YouTube is the giant that it is not just 761 00:36:38,880 --> 00:36:41,720 Speaker 2: because of rev share, not just because of the ability 762 00:36:41,760 --> 00:36:46,520 Speaker 2: to post videos, because of the algorithm. The recommendation algorithm 763 00:36:46,680 --> 00:36:49,640 Speaker 2: is the golden key to YouTube. It is what increases 764 00:36:49,920 --> 00:36:53,040 Speaker 2: the time on the platform. It's what gets people interested. 765 00:36:53,280 --> 00:36:55,799 Speaker 2: People who are watching this video are not the same 766 00:36:55,880 --> 00:36:58,160 Speaker 2: video who are not the same people getting recommended the 767 00:36:58,160 --> 00:37:00,920 Speaker 2: previous video. You and I just did about Ron DeSantis 768 00:37:01,280 --> 00:37:03,880 Speaker 2: that in many ways we owe entire careers and success 769 00:37:03,960 --> 00:37:09,160 Speaker 2: the recommendation algorithms, and that is because of the extraordinary 770 00:37:09,160 --> 00:37:12,560 Speaker 2: ability to match videos that you may also be interested in. 771 00:37:12,640 --> 00:37:15,320 Speaker 2: It's not just about the views that you are earning 772 00:37:15,320 --> 00:37:18,400 Speaker 2: on the platform. It is really about the ability to 773 00:37:18,520 --> 00:37:21,719 Speaker 2: recommend and keep content that people want to continue and 774 00:37:21,760 --> 00:37:24,960 Speaker 2: stay watching. This has always been a core problem for 775 00:37:25,120 --> 00:37:28,280 Speaker 2: video on Twitter. Video on Twitter has also been always 776 00:37:28,320 --> 00:37:31,080 Speaker 2: been best when very very short bites, whereas the entire 777 00:37:31,160 --> 00:37:35,880 Speaker 2: Mister Best strategy Crystal is built around retention beasts. Videos 778 00:37:35,960 --> 00:37:39,600 Speaker 2: are literally like genetically engineered in a lab to keep 779 00:37:39,600 --> 00:37:43,480 Speaker 2: you watching as long as humanly possible, juice the retention 780 00:37:43,640 --> 00:37:47,280 Speaker 2: rate to increase his overall recommendation. Obviously, he uses Twitter, 781 00:37:47,320 --> 00:37:49,440 Speaker 2: but he's not the main thing for what he's known for. 782 00:37:49,480 --> 00:37:53,320 Speaker 2: He's an international celebrity for a reason, specifically also built 783 00:37:53,600 --> 00:37:56,640 Speaker 2: on the YouTube algorithm. So this does, I think show 784 00:37:56,680 --> 00:37:59,480 Speaker 2: a little bit of a misunderstanding of what you need 785 00:37:59,560 --> 00:38:01,879 Speaker 2: to build for Twitter to actually be. 786 00:38:01,880 --> 00:38:03,280 Speaker 3: A viable video platform. 787 00:38:03,480 --> 00:38:05,520 Speaker 2: But I also think that at the end of the day, 788 00:38:05,800 --> 00:38:08,360 Speaker 2: what makes Twitter good in terms of the doom scrolling 789 00:38:08,360 --> 00:38:10,600 Speaker 2: and all of that, Yeah, that kind of cuts against 790 00:38:10,640 --> 00:38:14,200 Speaker 2: your ability to sit and watch a full video. And 791 00:38:14,239 --> 00:38:17,960 Speaker 2: we haven't seen any creator tools, platforms or changes to 792 00:38:18,000 --> 00:38:20,640 Speaker 2: the platform that would incentivize people like you and I 793 00:38:20,680 --> 00:38:23,720 Speaker 2: are others to actually want to post and create video 794 00:38:24,040 --> 00:38:25,760 Speaker 2: specifically for the Twitter platform. 795 00:38:25,840 --> 00:38:27,040 Speaker 4: Yeah, that is very true. 796 00:38:27,120 --> 00:38:29,560 Speaker 1: Also, I was chuckling because the second Mister Beast video 797 00:38:29,560 --> 00:38:33,040 Speaker 1: that he had listed there Train versus Giant Pit. My 798 00:38:33,080 --> 00:38:35,759 Speaker 1: son was literally just watching yesterday. I spoiler alert the 799 00:38:35,800 --> 00:38:39,200 Speaker 1: Giant Pin wins in the end. But yeah, I mean, 800 00:38:39,200 --> 00:38:41,560 Speaker 1: people aren't on Twitter to lot watch long term video. 801 00:38:41,760 --> 00:38:43,759 Speaker 1: That's just not what the platform was ever built for. 802 00:38:44,040 --> 00:38:46,000 Speaker 1: It's not what people are geared to go over there 803 00:38:46,000 --> 00:38:47,480 Speaker 1: and do, or prime to go over there and do. 804 00:38:47,560 --> 00:38:50,600 Speaker 1: They're prime to scroll through, you know, these short snippets. 805 00:38:50,600 --> 00:38:53,000 Speaker 1: I even hate the advent of like the longer tweets 806 00:38:53,360 --> 00:38:56,440 Speaker 1: like this is not like Twitter, and I don't think 807 00:38:56,440 --> 00:38:58,719 Speaker 1: I'm alone in that. I see a lot of backlash 808 00:38:58,920 --> 00:39:02,919 Speaker 1: against the like long say form tweets. So yeah, it's 809 00:39:02,920 --> 00:39:06,560 Speaker 1: not what the platform is built for. It's there's nothing 810 00:39:06,600 --> 00:39:09,320 Speaker 1: built in to make you aware that there is a 811 00:39:09,360 --> 00:39:12,000 Speaker 1: Mister Beast video on the platform, if that was ever 812 00:39:12,040 --> 00:39:15,799 Speaker 1: something to happen, or that Tucker Carlson just released his 813 00:39:15,880 --> 00:39:19,880 Speaker 1: latest show, so you know, to me, it seems like 814 00:39:20,040 --> 00:39:20,800 Speaker 1: a bit of a miss. 815 00:39:20,800 --> 00:39:22,799 Speaker 2: We have a little bit of those Tucker data. Let's 816 00:39:22,800 --> 00:39:24,520 Speaker 2: put this up there please on the screen. There was 817 00:39:24,560 --> 00:39:26,719 Speaker 2: a lot of discussion around this. It actually shows you 818 00:39:26,800 --> 00:39:28,720 Speaker 2: some of the video of view stats for the video 819 00:39:28,760 --> 00:39:31,120 Speaker 2: that was played for more than two seconds. This is 820 00:39:31,160 --> 00:39:33,400 Speaker 2: another reason why I actually warned a lot of people 821 00:39:33,800 --> 00:39:36,920 Speaker 2: not to overemphasize the actual overall view count, because as 822 00:39:36,960 --> 00:39:40,000 Speaker 2: you and I know, there is a massive difference between 823 00:39:40,040 --> 00:39:43,000 Speaker 2: scrolling passive video and watching two seconds of it and 824 00:39:43,120 --> 00:39:45,800 Speaker 2: watching let's say four and a half minutes or something. 825 00:39:46,120 --> 00:39:49,120 Speaker 2: This shows you some of the decreasing numbers on the 826 00:39:49,239 --> 00:39:51,920 Speaker 2: overall view count. And I do think that it gets 827 00:39:52,000 --> 00:39:55,600 Speaker 2: back to the fundamental mismatch of the Twitter platform and 828 00:39:55,840 --> 00:39:58,200 Speaker 2: of what Tucker specifically is trying to do. 829 00:39:58,280 --> 00:40:00,560 Speaker 3: Tucker's basically effectively doing what. 830 00:40:00,680 --> 00:40:04,720 Speaker 2: All of us are doing, which are these longer commentaries 831 00:40:04,880 --> 00:40:09,640 Speaker 2: with actual video elements in them, spliced in a monologue 832 00:40:09,680 --> 00:40:12,400 Speaker 2: which you need to sit and consume and take some time. 833 00:40:12,800 --> 00:40:15,759 Speaker 2: That is just not built for the Twitter platform. It's 834 00:40:15,760 --> 00:40:18,920 Speaker 2: something that's built for YouTube. Now, contractually, he's kind of boxed, 835 00:40:18,960 --> 00:40:21,080 Speaker 2: I think in a way where that's really the only 836 00:40:21,200 --> 00:40:23,520 Speaker 2: venue where you can reliably post, so you know, I 837 00:40:23,520 --> 00:40:25,239 Speaker 2: guess that's fair, and it's not like it has to 838 00:40:25,239 --> 00:40:28,160 Speaker 2: worry about money, but it is a problem, I think 839 00:40:28,200 --> 00:40:31,520 Speaker 2: for trying to cast the platform as the next big thing. 840 00:40:31,640 --> 00:40:31,840 Speaker 3: You know. 841 00:40:31,840 --> 00:40:33,880 Speaker 2: I talked a little bit about this with the Glenn 842 00:40:33,920 --> 00:40:36,680 Speaker 2: Greenwald and we both kind of shared our unvarnished thoughts, 843 00:40:36,680 --> 00:40:38,520 Speaker 2: and I was like, listen, you know, Glenn, you are 844 00:40:38,520 --> 00:40:40,600 Speaker 2: on Rumble and we're on YouTube and you know, on 845 00:40:40,719 --> 00:40:42,920 Speaker 2: podcasts and all that for a reason, Like these platforms 846 00:40:42,960 --> 00:40:45,480 Speaker 2: are designed for this, we go to them. 847 00:40:45,320 --> 00:40:46,240 Speaker 3: To watch stuff. 848 00:40:46,280 --> 00:40:48,719 Speaker 2: That's just not what we do whenever we go over 849 00:40:48,760 --> 00:40:52,760 Speaker 2: to Twitter. So I've always said you can't change people's behavior. 850 00:40:52,800 --> 00:40:54,479 Speaker 3: You have to meet them where they are. 851 00:40:54,640 --> 00:40:56,360 Speaker 2: So you know, I'm not going to go on YouTube 852 00:40:56,360 --> 00:40:58,160 Speaker 2: and trying to get you to go read my tweets. 853 00:40:58,239 --> 00:40:59,200 Speaker 3: Why would we ever do that. 854 00:40:59,200 --> 00:41:01,680 Speaker 2: That's just not really what is designed for, right And 855 00:41:01,719 --> 00:41:03,200 Speaker 2: I don't think it's the right way, you know. I 856 00:41:03,200 --> 00:41:05,520 Speaker 2: see the Daily Wire and all these other people being like, oh, 857 00:41:05,560 --> 00:41:07,879 Speaker 2: we're exclusively going to be posting on Twitter, and I'm 858 00:41:07,920 --> 00:41:09,600 Speaker 2: just like, call me in six months and tell me 859 00:41:09,640 --> 00:41:11,960 Speaker 2: whether you're actually making your real money or converting anything 860 00:41:12,320 --> 00:41:14,120 Speaker 2: off that, Because I just don't think that that's going 861 00:41:14,200 --> 00:41:14,560 Speaker 2: to happen. 862 00:41:14,680 --> 00:41:18,120 Speaker 1: Yeah, and even those view numbers for Tucker, I mean, 863 00:41:18,120 --> 00:41:21,360 Speaker 1: that's pretty fake because two seconds of watching a video 864 00:41:21,719 --> 00:41:25,720 Speaker 1: does not really count as a video view and so yeah, 865 00:41:25,719 --> 00:41:28,400 Speaker 1: how long do people sit and engage with that content? 866 00:41:28,440 --> 00:41:30,520 Speaker 1: And I do think his first show and everyone was like, oh, 867 00:41:30,560 --> 00:41:31,960 Speaker 1: what is this and what's he going to say and 868 00:41:31,960 --> 00:41:34,200 Speaker 1: what's going on with flax or whatever. I do think 869 00:41:34,239 --> 00:41:38,000 Speaker 1: millions and millions of people sat and actually consumed that 870 00:41:38,280 --> 00:41:41,880 Speaker 1: entire video. But it does not surprise me whatsoever that 871 00:41:41,960 --> 00:41:44,960 Speaker 1: there's been this dramatic falloff. I think that, you know, 872 00:41:45,360 --> 00:41:48,279 Speaker 1: it was a really foolish move ultimately for him to 873 00:41:48,320 --> 00:41:51,640 Speaker 1: throw his lot in with Twitter, not only for the 874 00:41:51,680 --> 00:41:54,280 Speaker 1: reasons that we've been describing, the fact that when people 875 00:41:54,400 --> 00:41:57,040 Speaker 1: go onto that platform, they are not in the mindset 876 00:41:57,120 --> 00:41:59,960 Speaker 1: of let me sit and engage with content for minutes, 877 00:42:00,080 --> 00:42:01,719 Speaker 1: minutes and minutes. They're in the mindset of, let me 878 00:42:01,719 --> 00:42:04,120 Speaker 1: scroll through and get these little quick bites and you know, 879 00:42:04,480 --> 00:42:09,440 Speaker 1: snarky replies or whatever. But because Tucker's audience is like 880 00:42:09,440 --> 00:42:11,879 Speaker 1: a bunch of boomers that aren't on Twitter, that don't 881 00:42:11,920 --> 00:42:14,280 Speaker 1: know how to use Twitter, that even he was sending 882 00:42:14,280 --> 00:42:17,040 Speaker 1: out emails to try to like walk them through the 883 00:42:17,120 --> 00:42:22,120 Speaker 1: process of even finding him on this app. So, you know, meanwhile, 884 00:42:22,160 --> 00:42:26,600 Speaker 1: and meanwhile, Fox News is actually recovering from the very 885 00:42:26,600 --> 00:42:29,880 Speaker 1: significant decline in ratings that they saw right after he left. 886 00:42:30,239 --> 00:42:32,960 Speaker 1: They seemed to be recovering and writing the ship. I mean, 887 00:42:33,000 --> 00:42:35,640 Speaker 1: they're in the same managed decline state as all the 888 00:42:35,640 --> 00:42:39,320 Speaker 1: other cable news networks. But in the end it seems 889 00:42:39,320 --> 00:42:42,879 Speaker 1: that the analysis is at least in terms of him 890 00:42:42,920 --> 00:42:45,480 Speaker 1: going to Twitter, Fox News has actually come out the 891 00:42:45,800 --> 00:42:50,080 Speaker 1: better side of this, and he has seriously hobbled his 892 00:42:50,200 --> 00:42:52,960 Speaker 1: own relevance and career by his choice of platform. 893 00:42:53,040 --> 00:42:54,479 Speaker 2: I think he needs to get out of that whatever 894 00:42:54,480 --> 00:42:56,160 Speaker 2: that deal is possible, and get on YouTube. 895 00:42:56,280 --> 00:42:58,239 Speaker 3: He went on a Russell Brand show, you very well 896 00:42:58,600 --> 00:42:59,480 Speaker 3: he was on YouTube. 897 00:42:59,520 --> 00:43:01,440 Speaker 2: It's like that that's where you belong, you know, or 898 00:43:01,480 --> 00:43:04,200 Speaker 2: not even you rumble whatever, you know, any of these places. 899 00:43:04,280 --> 00:43:06,880 Speaker 2: You got to get to a platform podcast the ability 900 00:43:06,880 --> 00:43:10,319 Speaker 2: where people actually consume longer form content, because that's where 901 00:43:10,320 --> 00:43:12,520 Speaker 2: the strength is. I just saw the news maybe we'll 902 00:43:12,520 --> 00:43:13,880 Speaker 2: talk about it in our next show that he's going 903 00:43:13,920 --> 00:43:16,200 Speaker 2: to be moderating a candidate forum. 904 00:43:16,560 --> 00:43:19,640 Speaker 3: You know, with Blaze Media. Right, so maybe that Harold 905 00:43:19,760 --> 00:43:20,880 Speaker 3: is like a little. 906 00:43:20,680 --> 00:43:22,960 Speaker 2: Bit of a change, but we'll we'll continue to monitor 907 00:43:23,200 --> 00:43:23,719 Speaker 2: and we'll see. 908 00:43:23,719 --> 00:43:26,000 Speaker 3: But why don't we talk about Joe Scarborough now? 909 00:43:26,200 --> 00:43:29,240 Speaker 1: Yes, so let's switch to another cable news topic. 910 00:43:29,280 --> 00:43:29,480 Speaker 2: Here. 911 00:43:29,760 --> 00:43:32,359 Speaker 1: This is I just this is extraordinary. I couldn't even 912 00:43:32,400 --> 00:43:34,520 Speaker 1: believe when I was reading this piece. So Joe Scarborough, 913 00:43:34,600 --> 00:43:37,680 Speaker 1: of course, multimillion dollar cable news host, very wealthy guy, 914 00:43:37,719 --> 00:43:39,600 Speaker 1: has been in the game for a long time, decided 915 00:43:39,600 --> 00:43:43,080 Speaker 1: to pend this essay chiding anyone who would have anything 916 00:43:43,160 --> 00:43:45,839 Speaker 1: critical to say about the United States of America. Let's 917 00:43:45,840 --> 00:43:49,440 Speaker 1: put this up on the screen. His headline here is 918 00:43:50,080 --> 00:43:53,759 Speaker 1: America is doing just fine. The United States deserves a 919 00:43:53,960 --> 00:43:56,600 Speaker 1: robust defense. And let me read you a little bit 920 00:43:56,640 --> 00:44:00,480 Speaker 1: of this because I really enjoyed this. Uncle Sam deserves 921 00:44:00,480 --> 00:44:03,560 Speaker 1: a modern day Atticus Finch to argue his case before 922 00:44:03,560 --> 00:44:04,480 Speaker 1: the American people. 923 00:44:04,280 --> 00:44:05,360 Speaker 4: But he doesn't have one. 924 00:44:05,520 --> 00:44:09,680 Speaker 1: The usual suspects who once regularly deliver garrulous Eric Stratton 925 00:44:09,960 --> 00:44:12,600 Speaker 1: styled defenses of all things American are now scattered to 926 00:44:12,600 --> 00:44:15,080 Speaker 1: the wins by the tumult of trump Ism. Neither the 927 00:44:15,120 --> 00:44:18,200 Speaker 1: Capitol Riot nor our barrageum indictments have stopped these hucksters 928 00:44:18,200 --> 00:44:20,720 Speaker 1: from slavishly siding with Donald Trump and his attacks against 929 00:44:20,760 --> 00:44:24,640 Speaker 1: the same American institutions that conservatives once defended against enemies 930 00:44:24,680 --> 00:44:28,960 Speaker 1: real or imagined, whether the dirty hippies who tried to 931 00:44:29,040 --> 00:44:32,919 Speaker 1: levitate the Pentagon or the Kamis on the Church Committee. 932 00:44:33,239 --> 00:44:36,840 Speaker 1: Trump conservatives really are having their own hippie moment turning 933 00:44:36,920 --> 00:44:41,480 Speaker 1: against American institutions because God forbid we critique American institutions 934 00:44:41,520 --> 00:44:45,200 Speaker 1: that would be horrified. The opposing council's bench will likewise 935 00:44:45,280 --> 00:44:48,160 Speaker 1: be unhelpful because it is packed with a motley crew 936 00:44:48,239 --> 00:44:52,719 Speaker 1: of progressive politicians, left wing think tankers, and journalists who 937 00:44:52,760 --> 00:44:58,000 Speaker 1: are far more comfortable prosecuting claims against American greed, US imperialism, 938 00:44:58,080 --> 00:45:02,839 Speaker 1: and ruling class dominance than mount muscular defenses of America. 939 00:45:03,120 --> 00:45:04,959 Speaker 4: Now, I would say, I. 940 00:45:04,880 --> 00:45:08,200 Speaker 1: Wish that our nation's journalists would do more critiquing of 941 00:45:08,360 --> 00:45:12,839 Speaker 1: American greed, US imperialism, and ruling class dominance. But God 942 00:45:12,920 --> 00:45:16,320 Speaker 1: forbid again that we have any critique of any. 943 00:45:16,120 --> 00:45:16,960 Speaker 4: Of those things. 944 00:45:17,040 --> 00:45:20,359 Speaker 1: Instead of just uniformly mounting what he describes as a 945 00:45:20,480 --> 00:45:24,200 Speaker 1: muscular defense of America. He goes on Zachary you have 946 00:45:24,280 --> 00:45:26,640 Speaker 1: to love this to talk about, you know, how great 947 00:45:26,680 --> 00:45:29,960 Speaker 1: things are under Joe Biden and his leadership, And of 948 00:45:30,040 --> 00:45:33,440 Speaker 1: course he leans into everything we're doing with the Ukraine 949 00:45:33,440 --> 00:45:35,520 Speaker 1: war has been great and good, and you know, no 950 00:45:35,640 --> 00:45:39,000 Speaker 1: mention of cluster BOMs, and that's being complicit in potential 951 00:45:39,080 --> 00:45:39,600 Speaker 1: war crimes. 952 00:45:39,640 --> 00:45:40,440 Speaker 4: There none of that. 953 00:45:40,880 --> 00:45:43,200 Speaker 1: But the one critique that he does have is that 954 00:45:43,280 --> 00:45:46,399 Speaker 1: the pullout from Afghanistan, now that was the real problem. 955 00:45:46,440 --> 00:45:47,000 Speaker 4: But don't worry. 956 00:45:47,000 --> 00:45:49,440 Speaker 1: They've already righted the ship, so no need to complain 957 00:45:49,480 --> 00:45:54,080 Speaker 1: about that either. And he concludes with this, despite the 958 00:45:54,120 --> 00:45:58,640 Speaker 1: blather that cable news hosts spit at you daily, your 959 00:45:58,680 --> 00:46:02,000 Speaker 1: country is doing pretty damn well, which is also hilarious 960 00:46:02,040 --> 00:46:04,200 Speaker 1: because I mean, number one, he's a cable news host, 961 00:46:04,560 --> 00:46:06,640 Speaker 1: one of the most prominent cable news hosts in the 962 00:46:06,640 --> 00:46:11,160 Speaker 1: freaking country. Number Two, if you tune into his network 963 00:46:11,560 --> 00:46:14,959 Speaker 1: or you tune into CNN, what you will hear over 964 00:46:15,000 --> 00:46:17,960 Speaker 1: and over and over again is actually, how wonderful things 965 00:46:17,960 --> 00:46:20,480 Speaker 1: are under Joe Biden, How the economy is actually great, 966 00:46:20,640 --> 00:46:23,640 Speaker 1: how everything's just find how his leadership is so brilliant 967 00:46:23,680 --> 00:46:26,160 Speaker 1: and wonderful, et cetera, et cetera, et cetera. So I 968 00:46:26,200 --> 00:46:27,920 Speaker 1: don't know what world this man is living in. 969 00:46:28,000 --> 00:46:28,640 Speaker 3: I think it's just. 970 00:46:28,640 --> 00:46:31,480 Speaker 2: A real look, it's not just a blind spot. It's 971 00:46:31,560 --> 00:46:37,279 Speaker 2: actually that they have to do this like justification of 972 00:46:37,360 --> 00:46:40,520 Speaker 2: where we are in order to prop up the structure 973 00:46:40,600 --> 00:46:43,800 Speaker 2: of which the vast majority of people are fundamentally against. 974 00:46:43,840 --> 00:46:45,799 Speaker 3: We know with this from every. 975 00:46:45,560 --> 00:46:49,240 Speaker 2: Political leader that has been doing well in modern memory 976 00:46:49,880 --> 00:46:52,839 Speaker 2: for the lat what Obama and Trump and Biden. Really, 977 00:46:52,840 --> 00:46:55,680 Speaker 2: we're all kind of quote change candidates really in their 978 00:46:55,719 --> 00:46:58,560 Speaker 2: own way from the previous status quote nobody was ever 979 00:46:58,640 --> 00:47:02,480 Speaker 2: voting for keeping actually what we had in place. Second, though, 980 00:47:02,600 --> 00:47:04,520 Speaker 2: look at any poll like the one we have, we 981 00:47:04,560 --> 00:47:07,040 Speaker 2: can put this right up here on the screen. There 982 00:47:07,040 --> 00:47:12,120 Speaker 2: has never been more dissatisfaction with national economic conditions, with 983 00:47:12,320 --> 00:47:16,760 Speaker 2: faith in American institutions, with a complete lack of faith 984 00:47:16,880 --> 00:47:21,719 Speaker 2: in overall higher elite institutions like college education. I just 985 00:47:21,719 --> 00:47:24,279 Speaker 2: saw a poll come across the desk that says the 986 00:47:24,360 --> 00:47:28,360 Speaker 2: thirty six percent and all time low people approve of colleges, 987 00:47:28,480 --> 00:47:30,920 Speaker 2: all time low number of people approve of institutions, which 988 00:47:30,920 --> 00:47:33,080 Speaker 2: we're going to talk about in a bit. People feel 989 00:47:33,080 --> 00:47:35,680 Speaker 2: like they're doing worse off than ever their inability to 990 00:47:35,760 --> 00:47:39,560 Speaker 2: achieve the American dream. And this is really propaganda that 991 00:47:39,600 --> 00:47:43,080 Speaker 2: I often see put forward by defenders of the neoliberal 992 00:47:43,160 --> 00:47:47,080 Speaker 2: establishment really helped architect it because they rely always on 993 00:47:47,160 --> 00:47:48,000 Speaker 2: fake metrics. 994 00:47:48,080 --> 00:47:50,440 Speaker 3: And this is always the big problem that we see. 995 00:47:50,480 --> 00:47:52,680 Speaker 2: And we were talking previously, there's a big wonk war 996 00:47:52,800 --> 00:47:55,120 Speaker 2: right now about whether we're doing well or not. And 997 00:47:55,160 --> 00:47:57,879 Speaker 2: they always rely on things like what he points in years, 998 00:47:57,880 --> 00:48:00,399 Speaker 2: like America's universities are best in the world, Like, yeah, 999 00:48:00,440 --> 00:48:02,920 Speaker 2: but what's the overall trend? They're going down, They're not 1000 00:48:02,960 --> 00:48:05,360 Speaker 2: doing well. What is the overall trend right now in 1001 00:48:05,440 --> 00:48:08,399 Speaker 2: terms of American views throughout the rest of the world. 1002 00:48:08,480 --> 00:48:11,960 Speaker 2: I kept telling you the sea change I saw in 1003 00:48:12,080 --> 00:48:14,000 Speaker 2: Indian attitudes towards America. 1004 00:48:14,120 --> 00:48:15,880 Speaker 3: I'm still flabbergasting around. 1005 00:48:16,000 --> 00:48:18,840 Speaker 2: When I visited India ten years ago, people either wanted 1006 00:48:18,840 --> 00:48:21,680 Speaker 2: to move here or they didn't care about America. Now 1007 00:48:21,960 --> 00:48:25,640 Speaker 2: the overall elite opinion has turned on. They're like, you 1008 00:48:25,680 --> 00:48:28,120 Speaker 2: guys are a bunch of moralizers. You don't shut up 1009 00:48:28,160 --> 00:48:31,080 Speaker 2: in terms of lecturing us, we are an independent country. 1010 00:48:31,360 --> 00:48:33,440 Speaker 2: You think you could come and tell us what to do, 1011 00:48:33,719 --> 00:48:35,000 Speaker 2: who's oil to buy? 1012 00:48:35,239 --> 00:48:36,600 Speaker 3: And all this? Who do you think we are. 1013 00:48:36,640 --> 00:48:39,520 Speaker 2: We're the most populous nation on earth. You, Joe Biden 1014 00:48:39,560 --> 00:48:41,200 Speaker 2: and all these other people can screw off. We're going 1015 00:48:41,239 --> 00:48:43,239 Speaker 2: to do whatever we want to do. Hearing the same 1016 00:48:43,320 --> 00:48:46,440 Speaker 2: thing from Brazil, and we know this also from all 1017 00:48:46,480 --> 00:48:50,000 Speaker 2: across the West non Western world. This is the attitude 1018 00:48:50,200 --> 00:48:54,440 Speaker 2: that pervades about the United States and about its overall decline. 1019 00:48:54,440 --> 00:48:57,880 Speaker 2: We're entering a very dangerous period, I think, in geopolitics, 1020 00:48:57,920 --> 00:49:00,120 Speaker 2: and I think that's the problem that he does is 1021 00:49:00,160 --> 00:49:02,680 Speaker 2: he's trying to cast some sort of Reaganesque, you know, 1022 00:49:02,880 --> 00:49:06,279 Speaker 2: a view of the United States around both our economy 1023 00:49:06,560 --> 00:49:08,560 Speaker 2: and our place in the world, when we actually see 1024 00:49:08,640 --> 00:49:11,640 Speaker 2: retrenchment everywhere. And the worst thing is that his answer 1025 00:49:11,800 --> 00:49:14,480 Speaker 2: is to triple down on all of the things that 1026 00:49:14,640 --> 00:49:17,480 Speaker 2: brought us exactly where to where we are, when in 1027 00:49:17,520 --> 00:49:21,160 Speaker 2: that retrenchment, we need both humble and big ideas here 1028 00:49:21,200 --> 00:49:23,799 Speaker 2: at home to get our population to a point where 1029 00:49:23,800 --> 00:49:25,880 Speaker 2: we can be you know, united and all of that, 1030 00:49:25,920 --> 00:49:27,600 Speaker 2: and also to think about the way that we carry 1031 00:49:27,640 --> 00:49:30,520 Speaker 2: ourselves abroad so that we don't go back into you know, 1032 00:49:30,600 --> 00:49:34,480 Speaker 2: some hor horrible state of war and you know, multipolarity 1033 00:49:34,640 --> 00:49:37,920 Speaker 2: or even more multipolarity from where we are right now. 1034 00:49:38,120 --> 00:49:38,960 Speaker 3: That's that's you know. 1035 00:49:39,000 --> 00:49:41,600 Speaker 2: I just see like it's almost like a boomer level 1036 00:49:41,600 --> 00:49:44,000 Speaker 2: of like America right or wrong. And I always just 1037 00:49:44,040 --> 00:49:46,560 Speaker 2: look at it like, look, I think Americans are awesome 1038 00:49:46,600 --> 00:49:48,399 Speaker 2: and I think America is doing badly well. 1039 00:49:48,400 --> 00:49:50,080 Speaker 1: It reminds me of it. He probably said some of 1040 00:49:50,120 --> 00:49:52,280 Speaker 1: those same stuff or in the Bush era, the whole 1041 00:49:52,400 --> 00:49:55,480 Speaker 1: like a rock war, like you can't criticize our leader, 1042 00:49:55,560 --> 00:49:58,279 Speaker 1: blah blah, b it's not patriotic to be critical of 1043 00:49:58,320 --> 00:50:01,239 Speaker 1: the president of the United States back Bush, no matter 1044 00:50:01,280 --> 00:50:04,440 Speaker 1: what I mean. That was a big strain of argument, 1045 00:50:04,880 --> 00:50:07,719 Speaker 1: if you can even call it argument from the right 1046 00:50:07,800 --> 00:50:10,560 Speaker 1: at that time, which again I'm sure he was partaking in. 1047 00:50:11,520 --> 00:50:14,600 Speaker 1: It is so low IQ to not be able to 1048 00:50:14,680 --> 00:50:17,560 Speaker 1: comprehend that you can be a patriot. You can love 1049 00:50:17,600 --> 00:50:20,520 Speaker 1: this country, you can appreciate many of the core values, 1050 00:50:20,560 --> 00:50:23,359 Speaker 1: you could celebrate some of its best parts of you know, 1051 00:50:23,480 --> 00:50:26,759 Speaker 1: of history and the progress that has been made, and 1052 00:50:26,800 --> 00:50:30,520 Speaker 1: you can also look across the landscape and see some 1053 00:50:30,600 --> 00:50:33,600 Speaker 1: real problems and see some real problems by the way, 1054 00:50:33,840 --> 00:50:38,520 Speaker 1: with the elite class Joe Scarborough included. I also feel like, 1055 00:50:38,800 --> 00:50:40,799 Speaker 1: can you imagine him writing this during the Trump era, 1056 00:50:41,520 --> 00:50:43,920 Speaker 1: if Donald Trump was present, can you imagine him being like, 1057 00:50:44,200 --> 00:50:47,839 Speaker 1: how dare you criticize America? This is a yeah, it 1058 00:50:47,880 --> 00:50:51,720 Speaker 1: needs a muscular defense, and actually everything is going really great. 1059 00:50:52,120 --> 00:50:53,080 Speaker 4: I mean totally. 1060 00:50:53,600 --> 00:50:56,400 Speaker 1: This is just complete one partisan blinders where it's like, 1061 00:50:56,440 --> 00:50:59,080 Speaker 1: since my guy's in charge, everything's fine and everyone needs 1062 00:50:59,120 --> 00:51:00,520 Speaker 1: to shut up and get on there. 1063 00:51:00,560 --> 00:51:03,120 Speaker 2: Really, honestly, all the same fundamentals that he points to 1064 00:51:03,440 --> 00:51:06,239 Speaker 2: were the exact same under Trump. If you're like, hey, 1065 00:51:06,320 --> 00:51:08,680 Speaker 2: our universities are the best in the world, Okay, it's 1066 00:51:08,719 --> 00:51:12,600 Speaker 2: been that way for forty years, hasn't changed really all 1067 00:51:12,640 --> 00:51:15,160 Speaker 2: that much. And I think what he gets to is 1068 00:51:15,280 --> 00:51:18,480 Speaker 2: this attitudinal thing of which I believe was the best 1069 00:51:18,520 --> 00:51:21,000 Speaker 2: thing about Trump. I think Trump was the most honest 1070 00:51:21,040 --> 00:51:24,359 Speaker 2: person in a generation of politics when he said our 1071 00:51:24,400 --> 00:51:27,440 Speaker 2: American carnage is over. I believe that the American carnage 1072 00:51:27,440 --> 00:51:30,520 Speaker 2: speech is still one of the most important ones ever delivered, 1073 00:51:30,560 --> 00:51:33,120 Speaker 2: because for the very first time somebody was like, you 1074 00:51:33,120 --> 00:51:34,800 Speaker 2: know what, things aren't all that rosy. 1075 00:51:34,960 --> 00:51:36,440 Speaker 3: Yeah, and that's what people wanted to hear. 1076 00:51:36,600 --> 00:51:40,640 Speaker 1: You know what's funny is so I'm covering my monologue today, 1077 00:51:40,800 --> 00:51:44,160 Speaker 1: the interview that Obama did with Aslaomanaj, which was mostly 1078 00:51:44,480 --> 00:51:47,480 Speaker 1: just like the questions were mostly very fluffy, but he 1079 00:51:47,520 --> 00:51:50,359 Speaker 1: did have this one question that I really liked, and 1080 00:51:50,360 --> 00:51:52,000 Speaker 1: that spoke to something that I've been trying to put 1081 00:51:52,040 --> 00:51:54,319 Speaker 1: my finger on for a while, which is he he 1082 00:51:54,360 --> 00:51:57,120 Speaker 1: basically begged Obama to for once in his life, be 1083 00:51:57,200 --> 00:52:00,959 Speaker 1: emotionally honest, because he has this whole thing of being 1084 00:52:01,000 --> 00:52:04,319 Speaker 1: like so removed and you know, so detached from all 1085 00:52:04,360 --> 00:52:08,640 Speaker 1: of it. And what he argued is, you know Trump 1086 00:52:08,920 --> 00:52:12,120 Speaker 1: in particular, but a lot of Republicans, they lie and 1087 00:52:12,200 --> 00:52:14,319 Speaker 1: mistate a lot of things, but there's a level of 1088 00:52:14,360 --> 00:52:19,560 Speaker 1: emotional honesty that people respond to, whereas Democrats, progressives, whatever, 1089 00:52:19,920 --> 00:52:21,840 Speaker 1: they may be right on the facts, but there's like 1090 00:52:21,880 --> 00:52:25,080 Speaker 1: a level of emotional dishonesty. And I think that this 1091 00:52:25,400 --> 00:52:29,840 Speaker 1: article is very like fits really well in that mold. 1092 00:52:30,080 --> 00:52:32,680 Speaker 1: You can't just gloss over everything. You can't pretend like 1093 00:52:32,719 --> 00:52:36,720 Speaker 1: it's unpatriotic to and throw out like your dirty hippie 1094 00:52:36,719 --> 00:52:39,719 Speaker 1: if you dare, if you dare criticize American greed or 1095 00:52:39,760 --> 00:52:42,720 Speaker 1: imperialism or ruling class dominance, as. 1096 00:52:42,520 --> 00:52:43,120 Speaker 4: He puts it. 1097 00:52:43,239 --> 00:52:46,920 Speaker 1: So it's also very easy to say when you know 1098 00:52:47,239 --> 00:52:49,759 Speaker 1: you are doing just fine. Your bank account is full, 1099 00:52:49,800 --> 00:52:52,440 Speaker 1: you have no financial woes or worries it you know 1100 00:52:52,600 --> 00:52:55,080 Speaker 1: in the world, your children, same deal. 1101 00:52:56,080 --> 00:52:57,160 Speaker 4: Very easy to have. 1102 00:52:57,080 --> 00:53:00,640 Speaker 1: This view from the station that Joe Scarborough finds himself. 1103 00:53:00,680 --> 00:53:02,480 Speaker 2: And this is not what people you know, even if 1104 00:53:02,520 --> 00:53:04,800 Speaker 2: you listen to Joe Biden. I mean, he's not making 1105 00:53:04,800 --> 00:53:07,799 Speaker 2: his pitch based on, oh, the economy is great. They 1106 00:53:07,880 --> 00:53:10,279 Speaker 2: will say some of that, yeah, but at the core 1107 00:53:10,480 --> 00:53:13,359 Speaker 2: it's we are going to fight against these Republicans who 1108 00:53:13,400 --> 00:53:13,960 Speaker 2: are nuts. 1109 00:53:14,000 --> 00:53:16,440 Speaker 3: That's the only reason that they're trying to get people. 1110 00:53:16,440 --> 00:53:18,439 Speaker 2: Really, I mean, and let's look at the midterms too, 1111 00:53:18,719 --> 00:53:21,200 Speaker 2: what's the number one reason why Dems came out. It 1112 00:53:21,239 --> 00:53:24,720 Speaker 2: ain't the economy. It's abortion. It is a negative reason. 1113 00:53:25,000 --> 00:53:27,960 Speaker 2: Negativity and the influence of that for voting is not 1114 00:53:28,400 --> 00:53:31,800 Speaker 2: even an indicator of the positive view that Scarborough puts forward. 1115 00:53:31,880 --> 00:53:33,719 Speaker 3: So anyway, yeah, I think that's it. Let's go to 1116 00:53:33,760 --> 00:53:34,120 Speaker 3: the next one. 1117 00:53:34,200 --> 00:53:36,600 Speaker 1: Yeah, let's talk a little bit about how Americans do 1118 00:53:36,640 --> 00:53:39,960 Speaker 1: feel about the country we live in and the institutions 1119 00:53:40,000 --> 00:53:42,560 Speaker 1: governing this country that we live in. The picture is 1120 00:53:42,600 --> 00:53:46,200 Speaker 1: pretty dire. Put this up on the screen from Gallop. Historically, 1121 00:53:46,200 --> 00:53:50,520 Speaker 1: low faith in US institutions continues, and effectively they don't find. 1122 00:53:50,360 --> 00:53:51,879 Speaker 4: Much change year over year. 1123 00:53:52,080 --> 00:53:56,280 Speaker 1: It's pretty flat in terms of public confidence in eleven 1124 00:53:56,320 --> 00:53:59,759 Speaker 1: of the sixteen institutions that Gallup tracks annually, they had 1125 00:53:59,760 --> 00:54:04,360 Speaker 1: seen insignificant declines. Presidency and the Supreme Court suffered the most. 1126 00:54:04,719 --> 00:54:07,479 Speaker 1: The share of Americans expressing a great deal or fair 1127 00:54:07,520 --> 00:54:11,000 Speaker 1: amount of confidence in these had previously fallen fifteen and 1128 00:54:11,080 --> 00:54:14,840 Speaker 1: eleven percentage points, respectively, and those numbers have basically remained 1129 00:54:14,960 --> 00:54:17,719 Speaker 1: unchanged now. They do go on to note that the 1130 00:54:17,760 --> 00:54:22,240 Speaker 1: survey was conducted before this latest slate of Supreme Court 1131 00:54:22,440 --> 00:54:26,280 Speaker 1: rulings came down. Those of course impacted firm in faction, 1132 00:54:26,520 --> 00:54:31,239 Speaker 1: college loan forgiveness, LGBTQ plus Americans their rights and how 1133 00:54:31,280 --> 00:54:35,280 Speaker 1: they intersect with religious values. So possible that the Supreme 1134 00:54:35,320 --> 00:54:39,760 Speaker 1: Court ratings change a bit after those. But generally speaking, 1135 00:54:40,080 --> 00:54:43,120 Speaker 1: Americans felt pretty bad about these institutions. They continue to 1136 00:54:43,160 --> 00:54:46,000 Speaker 1: feel pretty bad about these institutions. And you know, to 1137 00:54:46,080 --> 00:54:48,319 Speaker 1: tie in the Joe Scarborough conversation, in some of this 1138 00:54:48,440 --> 00:54:52,719 Speaker 1: like wonk fight that's going on, there's this very anti populist, 1139 00:54:53,120 --> 00:54:55,520 Speaker 1: very elitist attitude of like. 1140 00:54:55,719 --> 00:54:57,319 Speaker 4: Americans are just confused. 1141 00:54:57,520 --> 00:55:01,399 Speaker 1: They don't understand how great our institutions actually are. They 1142 00:55:01,400 --> 00:55:04,520 Speaker 1: don't understand how well things are really going in the economy. 1143 00:55:04,840 --> 00:55:07,280 Speaker 1: They just don't get what a great leader Joe Biden 1144 00:55:07,360 --> 00:55:09,520 Speaker 1: actually is. And if they just, you know, if we 1145 00:55:09,600 --> 00:55:12,880 Speaker 1: just got rid of the misinformation and the bad actors 1146 00:55:13,040 --> 00:55:15,680 Speaker 1: and we just were able to message properly and get 1147 00:55:15,680 --> 00:55:18,439 Speaker 1: the word out about how actually good their lives are, 1148 00:55:18,719 --> 00:55:21,600 Speaker 1: then they wouldn't feel this way about any of these things. So, 1149 00:55:22,080 --> 00:55:24,880 Speaker 1: you know, when I look at these numbers and trust 1150 00:55:24,920 --> 00:55:28,600 Speaker 1: in our institutions, on the one hand, it's sad because 1151 00:55:28,600 --> 00:55:31,960 Speaker 1: you would like to have institutions worthy of trust. On 1152 00:55:32,040 --> 00:55:33,919 Speaker 1: the other hand, I look at it and I think 1153 00:55:33,960 --> 00:55:37,960 Speaker 1: it's a sign of societal health that there is a 1154 00:55:38,080 --> 00:55:42,920 Speaker 1: recognition that these institutions have failed, that in many instances 1155 00:55:43,040 --> 00:55:44,880 Speaker 1: they have been corrupted. I mean, just look at some 1156 00:55:44,920 --> 00:55:47,040 Speaker 1: of the things we've been covering with the Supreme Court 1157 00:55:47,120 --> 00:55:50,480 Speaker 1: and the level of deep just institutionalized rot and corruption 1158 00:55:50,520 --> 00:55:53,279 Speaker 1: which has been accepted now for years and years. I 1159 00:55:53,320 --> 00:55:55,800 Speaker 1: think it's a sign of health and a positive development 1160 00:55:56,080 --> 00:55:59,600 Speaker 1: that Americans have accurate views of these various institutions. 1161 00:56:00,080 --> 00:56:01,920 Speaker 2: Yeah, so the all time low I think this is 1162 00:56:01,960 --> 00:56:05,680 Speaker 2: really interesting. For several institutions was actually hit and let 1163 00:56:05,680 --> 00:56:07,520 Speaker 2: me read you what they are in twenty twenty three. 1164 00:56:07,800 --> 00:56:09,120 Speaker 3: And I think these are all correct. 1165 00:56:09,400 --> 00:56:15,520 Speaker 2: Big business, large technology companies, public schools, Congress. Those are 1166 00:56:15,560 --> 00:56:17,319 Speaker 2: the places that hit it in twenty twenty or at 1167 00:56:17,400 --> 00:56:20,520 Speaker 2: the police in twenty twenty three. Now if you look 1168 00:56:20,560 --> 00:56:22,480 Speaker 2: at the rest of them, many were also hit in 1169 00:56:22,560 --> 00:56:27,320 Speaker 2: twenty twenty two, the presidency, the criminal justice system, television news, 1170 00:56:27,560 --> 00:56:32,120 Speaker 2: the US Supreme Court, newspapers, church and or organized religion. 1171 00:56:32,400 --> 00:56:34,680 Speaker 3: As you said, Crystal, I think it's a sad story. 1172 00:56:34,800 --> 00:56:38,279 Speaker 2: I wish that people had more faith in all of 1173 00:56:38,320 --> 00:56:42,600 Speaker 2: these well established institutions in American life, which genuinely had 1174 00:56:42,680 --> 00:56:44,080 Speaker 2: some good in the past. 1175 00:56:44,280 --> 00:56:46,200 Speaker 3: But a core theme of our show. 1176 00:56:46,040 --> 00:56:48,600 Speaker 2: Is about the corruption of these institutions at the expense 1177 00:56:48,920 --> 00:56:52,680 Speaker 2: of some of the lowest and most vulnerable amongst us. 1178 00:56:52,960 --> 00:56:55,600 Speaker 2: And I think it is correct that the vast majority 1179 00:56:55,600 --> 00:56:58,920 Speaker 2: of people should turn on these institutions and should question 1180 00:56:59,320 --> 00:57:01,640 Speaker 2: whenever they say, Hey, this is why we need a 1181 00:57:01,680 --> 00:57:04,640 Speaker 2: tax break, this is why we're doing so well. And 1182 00:57:05,120 --> 00:57:09,000 Speaker 2: you know, this is the actual consequence of really decades 1183 00:57:09,080 --> 00:57:12,160 Speaker 2: not only of partisanship, but of our economic policy. And 1184 00:57:12,160 --> 00:57:15,480 Speaker 2: it actually, as I you know, talked about previously the 1185 00:57:15,520 --> 00:57:18,720 Speaker 2: American carnage speech, and really, you know, many of the 1186 00:57:18,800 --> 00:57:23,640 Speaker 2: campaigns of the twenty sixteen, the successful ones, was the 1187 00:57:24,000 --> 00:57:27,160 Speaker 2: pointing to the actual ills which based us into these 1188 00:57:27,200 --> 00:57:30,040 Speaker 2: institutional numbers. And then look, I'm not saying Trump did 1189 00:57:30,080 --> 00:57:33,720 Speaker 2: anything about it, but he acknowledged the problem. And really, 1190 00:57:33,760 --> 00:57:36,040 Speaker 2: you know, the smartest democrats I see are. 1191 00:57:35,920 --> 00:57:37,520 Speaker 3: Also willing to acknowledge it as well. 1192 00:57:37,880 --> 00:57:40,320 Speaker 2: I'm no fan of Chris Murphy or anything, but I 1193 00:57:40,440 --> 00:57:43,320 Speaker 2: was fascinated to see him try to wade into like 1194 00:57:43,480 --> 00:57:47,440 Speaker 2: masculinity discourse and what can we do about faith and 1195 00:57:47,520 --> 00:57:51,240 Speaker 2: institutions and all of that, you know, Buddhage Edge, you know, well, look, 1196 00:57:51,320 --> 00:57:53,880 Speaker 2: you know, I think he's incompetent fool, but even he 1197 00:57:53,960 --> 00:57:56,640 Speaker 2: can read the tea leaves around. If you want a future, 1198 00:57:56,880 --> 00:57:59,120 Speaker 2: you have to be able to speak to the deep, 1199 00:57:59,520 --> 00:58:02,960 Speaker 2: like the deep despair. I think that falls all the 1200 00:58:02,960 --> 00:58:05,280 Speaker 2: way from upper to middle class. That's another or upper 1201 00:58:05,280 --> 00:58:07,720 Speaker 2: to lower class. I think that's a key part here 1202 00:58:07,760 --> 00:58:10,120 Speaker 2: of the story, which is these institutions we're talking about 1203 00:58:10,160 --> 00:58:12,800 Speaker 2: here are not at like fifty percent, like for example, 1204 00:58:12,840 --> 00:58:16,400 Speaker 2: big business as a fourteen percent of rural rating. That's stunning. 1205 00:58:16,440 --> 00:58:19,000 Speaker 2: That means a vast majority of people are against it. 1206 00:58:19,120 --> 00:58:23,040 Speaker 2: Large Technology twenty six, Public schools twenty six. Think about 1207 00:58:23,120 --> 00:58:26,040 Speaker 2: what a death knew that is for public education. Public 1208 00:58:26,160 --> 00:58:29,720 Speaker 2: education was at one time one of the shining lights 1209 00:58:29,760 --> 00:58:33,360 Speaker 2: of the way that Americans felt about the shared institution 1210 00:58:33,760 --> 00:58:37,200 Speaker 2: that was federalists, you know, local, state, federal connected. 1211 00:58:37,240 --> 00:58:38,760 Speaker 3: They felt a real connection to that. 1212 00:58:39,080 --> 00:58:41,800 Speaker 2: For the vast majority of people to turn against public 1213 00:58:41,840 --> 00:58:43,920 Speaker 2: schooling that is not a good thing. That means that 1214 00:58:43,920 --> 00:58:47,000 Speaker 2: they literally have no trust in the ability for these 1215 00:58:47,000 --> 00:58:51,480 Speaker 2: institutions to carry on their legacy. And it explain school voucherization, 1216 00:58:51,680 --> 00:58:54,160 Speaker 2: the rise in public schools, and many of the pushes 1217 00:58:54,160 --> 00:58:56,439 Speaker 2: away because they're like, we don't trust you at all. 1218 00:58:56,480 --> 00:58:58,200 Speaker 2: And again I only want to sit here and just 1219 00:58:58,280 --> 00:59:00,880 Speaker 2: vindicate that and be like, I agree, you shouldn't trust them. 1220 00:59:01,280 --> 00:59:02,760 Speaker 3: I mean, I want to see an alternative. 1221 00:59:02,800 --> 00:59:04,720 Speaker 2: But you know, for many of these that I see 1222 00:59:04,760 --> 00:59:06,560 Speaker 2: on the list, I think you're a fool to put 1223 00:59:06,560 --> 00:59:07,760 Speaker 2: any of your faith in that event. 1224 00:59:08,080 --> 00:59:10,439 Speaker 1: Yeah, I think the big tech example is a really 1225 00:59:10,600 --> 00:59:13,520 Speaker 1: is an interesting one because I guarantee you the numbers 1226 00:59:13,600 --> 00:59:16,160 Speaker 1: during like the Obama years when you know, it was 1227 00:59:16,560 --> 00:59:19,360 Speaker 1: very opt there's a lot of tech optimism, right, and 1228 00:59:19,440 --> 00:59:21,640 Speaker 1: these companies were seen as like the good guys, and 1229 00:59:21,680 --> 00:59:23,440 Speaker 1: they were on the bank are and they were like 1230 00:59:23,520 --> 00:59:27,880 Speaker 1: part of these democracy movements and whatever. It is a 1231 00:59:27,880 --> 00:59:30,560 Speaker 1: better state of affairs, in my opinion, for people to 1232 00:59:30,680 --> 00:59:34,400 Speaker 1: understand the problems with these massive tech monopolies that have 1233 00:59:34,520 --> 00:59:37,680 Speaker 1: so much control over our public discourse and over all 1234 00:59:37,720 --> 00:59:40,800 Speaker 1: of our lives. I think it's a good thing that 1235 00:59:40,920 --> 00:59:43,400 Speaker 1: are that we have the bloom is off the rods, 1236 00:59:43,440 --> 00:59:46,440 Speaker 1: though to speak, and people have a more clear eyed 1237 00:59:46,560 --> 00:59:49,920 Speaker 1: view of what some of the yeah benefits but also 1238 00:59:50,120 --> 00:59:52,400 Speaker 1: challenges and problems and the way that it has been 1239 00:59:52,440 --> 00:59:55,600 Speaker 1: corrosive to society. So I think that's you know, I 1240 00:59:55,600 --> 00:59:58,200 Speaker 1: think it's a good thing that banks have seen trust 1241 00:59:58,280 --> 01:00:01,400 Speaker 1: fall off to twenty six. I think it's a good 1242 01:00:01,400 --> 01:00:06,240 Speaker 1: thing that television news trust is at fourteen percent and 1243 01:00:06,280 --> 01:00:09,160 Speaker 1: big business trust is at fourteen percent, because when I 1244 01:00:09,200 --> 01:00:12,160 Speaker 1: look at these numbers, I feel like, all right, they 1245 01:00:12,200 --> 01:00:15,600 Speaker 1: can only hold back the waters for so long before 1246 01:00:15,640 --> 01:00:20,520 Speaker 1: the damn breaks, before there is some movement or some candidate, 1247 01:00:20,640 --> 01:00:23,600 Speaker 1: or some combination of things that breaks through and changes 1248 01:00:23,640 --> 01:00:26,280 Speaker 1: things for the better because you can't. You just can't 1249 01:00:26,480 --> 01:00:30,680 Speaker 1: sustain this distance between you know, the happy talk of 1250 01:00:31,040 --> 01:00:34,720 Speaker 1: Joe Scarborough and the you know, beltwegh wanks and whatever 1251 01:00:35,200 --> 01:00:39,200 Speaker 1: and the reality of how people view the country, the institutions, 1252 01:00:39,320 --> 01:00:41,800 Speaker 1: the economy, and the prospects for their lives and the 1253 01:00:41,840 --> 01:00:42,640 Speaker 1: lives of their children. 1254 01:00:42,840 --> 01:00:43,600 Speaker 3: Yeah, I mean, you know. 1255 01:00:43,640 --> 01:00:45,880 Speaker 2: And also whenever I look at the chart, there's a 1256 01:00:46,000 --> 01:00:48,360 Speaker 2: very clear story here. The last time that we had 1257 01:00:49,200 --> 01:00:52,680 Speaker 2: even you know, moderately high level of confidence in major 1258 01:00:52,800 --> 01:00:55,800 Speaker 2: US institutions was two thousand and three and two thousand 1259 01:00:55,840 --> 01:00:59,840 Speaker 2: and four. What happened, Oh I forgot the Iraq Wars. Yeah, shocker. 1260 01:01:00,080 --> 01:01:04,200 Speaker 2: People dropped the amount of faith in US institutions. And 1261 01:01:04,240 --> 01:01:06,760 Speaker 2: then also there's a sad story. The modern high is 1262 01:01:06,800 --> 01:01:09,880 Speaker 2: thirty six percent in twenty twenty. Why because of the 1263 01:01:09,960 --> 01:01:13,320 Speaker 2: feeling of let's all come together during COVID. Then none 1264 01:01:13,360 --> 01:01:15,960 Speaker 2: of those institutions actually did anything for us, and they 1265 01:01:16,000 --> 01:01:18,439 Speaker 2: fell apart and broke and now we're at the all 1266 01:01:18,480 --> 01:01:21,440 Speaker 2: time low. Their last time that Americans had confidence in 1267 01:01:21,480 --> 01:01:25,200 Speaker 2: the presidency was before Vietnam. I mean, can you blame 1268 01:01:25,240 --> 01:01:28,479 Speaker 2: them for not having confidence? And you know, afterwards they're 1269 01:01:28,480 --> 01:01:31,240 Speaker 2: not wrong to continue to drop. So I think I 1270 01:01:31,320 --> 01:01:34,840 Speaker 2: see a consistent and a proper story which is genuinely 1271 01:01:34,880 --> 01:01:38,200 Speaker 2: small d democratic, and I think that there is only 1272 01:01:38,280 --> 01:01:41,240 Speaker 2: one actual way to fix any of this, which is 1273 01:01:41,360 --> 01:01:45,440 Speaker 2: enacting good policy, good politics, and to try and shift 1274 01:01:45,480 --> 01:01:47,560 Speaker 2: away from where we are right now to get to 1275 01:01:47,600 --> 01:01:51,440 Speaker 2: some sort of consensus. But that's way way harder, you know, easier, 1276 01:01:51,440 --> 01:01:52,760 Speaker 2: I think, said than done. 1277 01:01:52,880 --> 01:01:57,000 Speaker 1: How dare you criticize America instead of offering a muscular defense. 1278 01:01:56,720 --> 01:01:59,240 Speaker 2: However, I can give it a great defense, you know, 1279 01:01:59,320 --> 01:02:00,439 Speaker 2: compared to some body else. 1280 01:02:00,520 --> 01:02:03,120 Speaker 3: Yeah, it doesn't mean that I can't look inward as well, Yes, indeed, 1281 01:02:03,200 --> 01:02:03,720 Speaker 3: of course. 1282 01:02:06,120 --> 01:02:08,120 Speaker 1: All right, so this was a fascinating story we're both 1283 01:02:08,200 --> 01:02:11,200 Speaker 1: kind of interested in. Apparently, attenance at Disney World is 1284 01:02:11,320 --> 01:02:13,760 Speaker 1: way down. Put this up on the screen. This is 1285 01:02:13,760 --> 01:02:15,600 Speaker 1: from the Wall Street Journal. So the way that they 1286 01:02:15,640 --> 01:02:18,520 Speaker 1: measure this is kind of interesting to me too. They 1287 01:02:18,760 --> 01:02:22,280 Speaker 1: measure the wait times on rides, like the average time 1288 01:02:22,320 --> 01:02:24,720 Speaker 1: you have to wait in line in order to get 1289 01:02:24,760 --> 01:02:29,600 Speaker 1: on rides at Magic Kingdom, Epcot, Hollywood Studios, and Animal Kingdom, 1290 01:02:30,040 --> 01:02:34,440 Speaker 1: and at each of those sub parks of Disney World, 1291 01:02:34,760 --> 01:02:39,040 Speaker 1: wait times are way down. On the July fourth weekend, 1292 01:02:39,080 --> 01:02:41,520 Speaker 1: which look, it's hot as hell in Florida during the summer, 1293 01:02:41,560 --> 01:02:44,720 Speaker 1: so people actually prefer to go Thanksgiving, Christmas, New Year's 1294 01:02:44,720 --> 01:02:47,600 Speaker 1: Those are the real peak season at Disney World. But 1295 01:02:47,720 --> 01:02:50,280 Speaker 1: July fourth, you know, over the summer, when people are 1296 01:02:50,280 --> 01:02:52,840 Speaker 1: on vacation, This is also a really key time for 1297 01:02:52,920 --> 01:02:55,800 Speaker 1: the park. So to see such a drop off from 1298 01:02:55,840 --> 01:02:58,200 Speaker 1: twenty twenty two and then they go back to twenty 1299 01:02:58,280 --> 01:03:02,160 Speaker 1: nineteen pre pandemic is pretty fascinating. I'll read you a 1300 01:03:02,200 --> 01:03:05,920 Speaker 1: little bit of the Wall Street Journal analysis. They say 1301 01:03:06,120 --> 01:03:11,000 Speaker 1: that former Disney finance chief Christine McCarthy and indicated they 1302 01:03:11,040 --> 01:03:14,120 Speaker 1: anticipated lower demand that sounds like cope to me for 1303 01:03:14,160 --> 01:03:17,160 Speaker 1: the second half of the year because Disney World's fiftieth 1304 01:03:17,200 --> 01:03:19,480 Speaker 1: anniversary celebration had ended. 1305 01:03:20,000 --> 01:03:22,440 Speaker 4: They also say, and this seems to be to me, 1306 01:03:22,560 --> 01:03:23,080 Speaker 4: to be. 1307 01:03:23,040 --> 01:03:27,280 Speaker 1: More honest, they kind of intentionally thinned the park's crowds 1308 01:03:27,320 --> 01:03:30,960 Speaker 1: because they upped the cost of everything to make it 1309 01:03:31,040 --> 01:03:34,640 Speaker 1: more of a luxury experience, I guess, and sort of 1310 01:03:34,680 --> 01:03:37,880 Speaker 1: like thin the herd so that people can pay more 1311 01:03:38,440 --> 01:03:41,120 Speaker 1: and wait less in line, and they feel like that's 1312 01:03:41,160 --> 01:03:44,280 Speaker 1: going to work out in terms of their bottom line. 1313 01:03:44,440 --> 01:03:46,200 Speaker 4: They also point out that some. 1314 01:03:46,040 --> 01:03:49,240 Speaker 1: Of this may be industry wide, so not specific to 1315 01:03:49,360 --> 01:03:54,160 Speaker 1: Disney crowds. They indicate were also relatively light at Universal Orlando. 1316 01:03:55,000 --> 01:03:57,800 Speaker 1: The average weight time there was twenty eight minutes on 1317 01:03:57,880 --> 01:04:00,440 Speaker 1: July fourth. That's down from thirty thirty eight minutes in 1318 01:04:00,480 --> 01:04:02,720 Speaker 1: twenty twenty two, but it was more in line with 1319 01:04:02,760 --> 01:04:05,040 Speaker 1: twenty nineteen levels. So there does seem to be something 1320 01:04:05,120 --> 01:04:09,160 Speaker 1: kind of specific going on here. In terms of Disney World, 1321 01:04:09,720 --> 01:04:11,680 Speaker 1: you found this saga Disney Fanatic. 1322 01:04:11,680 --> 01:04:13,920 Speaker 4: There's all the whole world of like. 1323 01:04:13,920 --> 01:04:18,560 Speaker 1: Disney trip planning and Disney World blogs. This one Disney 1324 01:04:18,560 --> 01:04:21,480 Speaker 1: Fanatic put us up on the screen talked about a 1325 01:04:21,520 --> 01:04:28,600 Speaker 1: podcast where a Disney History Institute analyst explained that families 1326 01:04:28,680 --> 01:04:31,919 Speaker 1: are being hit in terms of the ticket prices that 1327 01:04:32,440 --> 01:04:35,480 Speaker 1: they are pricing out their primary audience, which is middle 1328 01:04:35,480 --> 01:04:39,040 Speaker 1: class families. In the past, this analyst said, families would 1329 01:04:39,040 --> 01:04:41,919 Speaker 1: make multiple trips to Disney Park after a successful first trip, 1330 01:04:41,920 --> 01:04:43,920 Speaker 1: and now families are unable to gather the funds for 1331 01:04:44,040 --> 01:04:48,040 Speaker 1: even that first trip, making follow up trips unlikely. 1332 01:04:48,200 --> 01:04:50,480 Speaker 4: So those are some of the information. 1333 01:04:50,560 --> 01:04:52,880 Speaker 1: I'm sure people out there will also be like, oh, 1334 01:04:52,920 --> 01:04:53,520 Speaker 1: it's because they. 1335 01:04:53,440 --> 01:04:56,080 Speaker 4: Went wo Maybe as possible. 1336 01:04:56,120 --> 01:04:58,800 Speaker 1: There's some political piece of this as well, where conservative 1337 01:04:58,840 --> 01:05:01,040 Speaker 1: families are more iety logical or like, I don't really 1338 01:05:01,080 --> 01:05:03,640 Speaker 1: want to spend my dollars there, I'll do something different. 1339 01:05:03,760 --> 01:05:06,320 Speaker 1: But I think it's more likely that the increase in 1340 01:05:06,400 --> 01:05:08,760 Speaker 1: ticket prices and food prices and all of those things 1341 01:05:08,760 --> 01:05:09,680 Speaker 1: are probably to blame. 1342 01:05:09,800 --> 01:05:12,120 Speaker 2: The big and sad question is is they did a 1343 01:05:12,200 --> 01:05:15,240 Speaker 2: take a revenue hit because the reality is is that 1344 01:05:15,280 --> 01:05:18,000 Speaker 2: if they can make it effectively a premium product, you 1345 01:05:18,000 --> 01:05:19,680 Speaker 2: can have less people and you can make a ton 1346 01:05:19,760 --> 01:05:22,480 Speaker 2: more money. Some one of my favorite business books of 1347 01:05:22,520 --> 01:05:26,040 Speaker 2: all time called Disney War. I forget exactly who wrote it, 1348 01:05:26,040 --> 01:05:28,880 Speaker 2: the same person who wrote Den of Thieves. It'll come 1349 01:05:28,920 --> 01:05:32,000 Speaker 2: to me in a second, but that book actually outlined 1350 01:05:32,080 --> 01:05:34,880 Speaker 2: kind of the path to profit and the giant that 1351 01:05:34,960 --> 01:05:38,800 Speaker 2: Disney is today via Michael Eisner and eventually the takeover 1352 01:05:39,120 --> 01:05:41,840 Speaker 2: of Bob Iger, who has now returned as the CEO. 1353 01:05:41,960 --> 01:05:43,800 Speaker 2: And the really sad part is that a lot of 1354 01:05:43,800 --> 01:05:45,880 Speaker 2: it just comes down to bilking people who are trying 1355 01:05:45,880 --> 01:05:48,560 Speaker 2: to take their families. And I'm talking about like at 1356 01:05:48,560 --> 01:05:50,720 Speaker 2: the in the beginning, parking used to be free at 1357 01:05:50,720 --> 01:05:53,840 Speaker 2: Disney World. Now it's like fifty dollars, they actually be like. 1358 01:05:53,920 --> 01:05:56,080 Speaker 4: Three dollars and fifty cents or something like that. 1359 01:05:56,400 --> 01:05:59,560 Speaker 2: I like that Walt Disney correctly had a vision of 1360 01:06:00,040 --> 01:06:02,560 Speaker 2: bringing to life the characters which he was able to 1361 01:06:02,560 --> 01:06:05,680 Speaker 2: put on the screen and making a centerpiece of American life. 1362 01:06:05,760 --> 01:06:07,840 Speaker 3: And he succeeded, you know, in that vision. 1363 01:06:07,880 --> 01:06:11,080 Speaker 2: And then really what happened is they monetized as much 1364 01:06:11,160 --> 01:06:14,160 Speaker 2: as humanly possible as the IP to turn Disney into 1365 01:06:14,200 --> 01:06:17,960 Speaker 2: the multigajillion dollar company that it is today. But the 1366 01:06:18,080 --> 01:06:20,920 Speaker 2: problem that I see really in this is where is 1367 01:06:20,960 --> 01:06:22,240 Speaker 2: the middle class experience? 1368 01:06:22,320 --> 01:06:22,520 Speaker 7: Now? 1369 01:06:22,720 --> 01:06:25,440 Speaker 2: Like, what are you supposed to do when you are 1370 01:06:25,480 --> 01:06:29,360 Speaker 2: a middle class person and you want to provide a 1371 01:06:29,400 --> 01:06:32,720 Speaker 2: family vacation, which is, you know, ticks the boxes and 1372 01:06:32,760 --> 01:06:35,439 Speaker 2: give people the experience. I was talking with my parents 1373 01:06:35,480 --> 01:06:37,440 Speaker 2: when we were in India and they were calling. The 1374 01:06:37,480 --> 01:06:39,440 Speaker 2: first time they took me to Disney World. Apparently tried 1375 01:06:39,480 --> 01:06:40,640 Speaker 2: to bite one of them. 1376 01:06:40,680 --> 01:06:41,320 Speaker 3: So that's me. 1377 01:06:41,400 --> 01:06:42,360 Speaker 4: He tried to bite one. 1378 01:06:42,600 --> 01:06:44,320 Speaker 2: Of my parents, one of my parents because I was tired, 1379 01:06:45,000 --> 01:06:46,800 Speaker 2: You were a bit apparently I was. 1380 01:06:47,560 --> 01:06:48,000 Speaker 3: I don't think. 1381 01:06:48,200 --> 01:06:50,160 Speaker 2: I don't think any people who watch the show will 1382 01:06:50,160 --> 01:06:51,960 Speaker 2: be surprised by that. I don't know what it is 1383 01:06:52,000 --> 01:06:53,720 Speaker 2: about kids in biting. I don't really get it. You 1384 01:06:53,720 --> 01:06:55,160 Speaker 2: have to like train children. 1385 01:06:54,880 --> 01:06:56,400 Speaker 4: Yeah they Yeah, I don't know. 1386 01:06:56,600 --> 01:06:59,520 Speaker 1: Some kids are more Anyway, every preschool this is. 1387 01:06:59,520 --> 01:07:01,800 Speaker 4: A happens at least once a year. Anyway. 1388 01:07:02,640 --> 01:07:05,600 Speaker 1: Yeah, I remember that my first trip to We went 1389 01:07:05,600 --> 01:07:07,280 Speaker 1: to Disney World once when I was a kid. 1390 01:07:07,680 --> 01:07:09,840 Speaker 4: We did a road trip down from Virginia. 1391 01:07:10,320 --> 01:07:13,360 Speaker 1: It was right around my sixth birthday, when I was 1392 01:07:13,400 --> 01:07:16,480 Speaker 1: in kindergarten, and I still remember parts of I mean, 1393 01:07:16,480 --> 01:07:18,840 Speaker 1: I was a little kid, but I still remember parts 1394 01:07:18,880 --> 01:07:23,120 Speaker 1: of that trip. Disney World is really like the iconic 1395 01:07:23,680 --> 01:07:28,920 Speaker 1: seminole middle class vacation. It's almost like it's almost like 1396 01:07:29,000 --> 01:07:31,280 Speaker 1: a bedrock of what you feel like as a middle 1397 01:07:31,280 --> 01:07:34,520 Speaker 1: class parent. You should be able to provide for your kids. 1398 01:07:34,760 --> 01:07:38,080 Speaker 1: But I would my question wouldn't be, Okay, what is 1399 01:07:38,120 --> 01:07:39,280 Speaker 1: the middle class experience? 1400 01:07:39,320 --> 01:07:39,600 Speaker 8: Now? 1401 01:07:39,680 --> 01:07:41,640 Speaker 4: It's where is the middle class? 1402 01:07:42,080 --> 01:07:46,040 Speaker 1: Because the reason why Disney and many other companies too, 1403 01:07:46,120 --> 01:07:49,160 Speaker 1: by the way, are leaning into ari We're gonna we're 1404 01:07:49,160 --> 01:07:51,360 Speaker 1: gonna move up the food chain. We're going to offer 1405 01:07:51,400 --> 01:07:54,920 Speaker 1: this more premium, more expensive experience, is because those are 1406 01:07:54,960 --> 01:07:58,200 Speaker 1: people that still you know, those are people have money 1407 01:07:58,400 --> 01:08:00,760 Speaker 1: those are the people who have expendable income. And so 1408 01:08:01,080 --> 01:08:04,840 Speaker 1: when you have this huge split and massive income inequality 1409 01:08:04,840 --> 01:08:07,160 Speaker 1: and all of these things, if you're just looking for, like, 1410 01:08:07,280 --> 01:08:09,160 Speaker 1: where are the people with the revenue that I can 1411 01:08:09,160 --> 01:08:13,040 Speaker 1: squeeze down, it's increasingly not the middle class. It's certainly 1412 01:08:13,080 --> 01:08:16,000 Speaker 1: not the working classes. People are pushed up and you know, 1413 01:08:16,040 --> 01:08:18,960 Speaker 1: against the wall and many times over the cliff. It's 1414 01:08:19,040 --> 01:08:23,439 Speaker 1: those upper middle class families that are you know, doing 1415 01:08:23,520 --> 01:08:25,559 Speaker 1: better that you know, they may have issues with housing 1416 01:08:25,600 --> 01:08:29,080 Speaker 1: costs or whatever, but they're in the higher professional classes 1417 01:08:29,160 --> 01:08:32,559 Speaker 1: and they're able to afford the Disney vacation and not 1418 01:08:32,920 --> 01:08:35,800 Speaker 1: look twice at the way they're getting price gouged at 1419 01:08:35,840 --> 01:08:38,640 Speaker 1: every single turn, and the way hotel costs have escalated, 1420 01:08:38,640 --> 01:08:41,200 Speaker 1: in the way that concession costs. 1421 01:08:40,840 --> 01:08:42,280 Speaker 4: Have escalated, et cetera. 1422 01:08:42,840 --> 01:08:46,280 Speaker 1: So, you know, there was a concept a number of 1423 01:08:46,360 --> 01:08:49,880 Speaker 1: years ago that was that came out of the economics 1424 01:08:49,880 --> 01:08:53,840 Speaker 1: profession of the plutonomy, where a number of analysts were 1425 01:08:53,960 --> 01:08:58,280 Speaker 1: advising companies that, hey, if you want to maximize your revenue, 1426 01:08:58,280 --> 01:08:59,840 Speaker 1: this is the segment of the market you need to 1427 01:08:59,840 --> 01:09:02,599 Speaker 1: go after because everyone else is getting squeezed so much. 1428 01:09:02,640 --> 01:09:04,880 Speaker 1: They just aren't going to be able to provide you 1429 01:09:04,960 --> 01:09:07,960 Speaker 1: with the revenue and the profit generation that you're going 1430 01:09:08,000 --> 01:09:10,640 Speaker 1: to be looking for. So Disney following a lot of 1431 01:09:10,800 --> 01:09:12,919 Speaker 1: broader economic trends here, I think. 1432 01:09:12,880 --> 01:09:14,000 Speaker 3: Yeah, I think you're right, Crystal. 1433 01:09:14,080 --> 01:09:16,320 Speaker 2: Unfortunately, and let's put this also up there on the 1434 01:09:16,320 --> 01:09:19,120 Speaker 2: screen of which you found, which is kind of mound boggling. 1435 01:09:19,600 --> 01:09:22,600 Speaker 2: Eighteen percent of Disney goers have racked up debt, but 1436 01:09:22,720 --> 01:09:26,280 Speaker 2: quote most have no regrets. Let me just go ahead 1437 01:09:26,320 --> 01:09:29,599 Speaker 2: and plug a Dave ramseysm. Please do not go into 1438 01:09:29,640 --> 01:09:32,600 Speaker 2: debt and whenever to go on vacation, no matter what 1439 01:09:32,800 --> 01:09:36,120 Speaker 2: said vacation is. It will put you behind and it 1440 01:09:36,200 --> 01:09:38,000 Speaker 2: definitely is a problem. 1441 01:09:38,040 --> 01:09:40,559 Speaker 3: You should only go on vacation if you can afford it. 1442 01:09:40,640 --> 01:09:40,800 Speaker 9: Now. 1443 01:09:40,920 --> 01:09:41,839 Speaker 3: Now, in terms. 1444 01:09:41,600 --> 01:09:45,960 Speaker 1: Of people don't regret experiences, they don't regret childhood memories. 1445 01:09:46,080 --> 01:09:49,559 Speaker 2: Okay, but that's not worth twenty eight percent credit card interest. Okay, 1446 01:09:49,600 --> 01:09:52,080 Speaker 2: but again i'll channel Ramsey there. 1447 01:09:52,160 --> 01:09:52,360 Speaker 4: Yeah. 1448 01:09:52,360 --> 01:09:53,800 Speaker 2: Look, I mean, if you want to put yourself a 1449 01:09:53,840 --> 01:09:54,880 Speaker 2: message away, it's your money. 1450 01:09:54,880 --> 01:09:57,040 Speaker 3: You decide what you want to do. 1451 01:09:57,400 --> 01:10:00,800 Speaker 2: I do think though, what this is generally is the 1452 01:10:00,920 --> 01:10:04,040 Speaker 2: level of expense that which people have come to expect 1453 01:10:04,240 --> 01:10:06,880 Speaker 2: a normal vacation comes to the conversation that we're having 1454 01:10:06,960 --> 01:10:10,839 Speaker 2: around parking, the fees for parking, the fees for tickets, 1455 01:10:11,040 --> 01:10:14,640 Speaker 2: for so much of this behavior where the inability to 1456 01:10:14,720 --> 01:10:18,320 Speaker 2: really access, you know, a normal vacation at a modest 1457 01:10:18,360 --> 01:10:22,080 Speaker 2: price for like a family of four, that's very much disappearing. 1458 01:10:22,080 --> 01:10:23,560 Speaker 2: And I guess I'll give a plug even though this 1459 01:10:23,640 --> 01:10:25,240 Speaker 2: is not my interest, because they are getting. 1460 01:10:24,960 --> 01:10:26,439 Speaker 3: More crowded national parks. 1461 01:10:26,560 --> 01:10:29,200 Speaker 2: They're not free, but they're pretty close whenever it comes 1462 01:10:29,200 --> 01:10:32,519 Speaker 2: to the admittance fee and all of that. And it 1463 01:10:32,560 --> 01:10:35,360 Speaker 2: remains probably one of the most only really accessible things 1464 01:10:35,360 --> 01:10:37,639 Speaker 2: that a lot of people can do with their children 1465 01:10:38,000 --> 01:10:39,720 Speaker 2: these days, which is a good thing. 1466 01:10:39,760 --> 01:10:43,360 Speaker 1: But I also that's amazing favorite place, great smoking mountains. 1467 01:10:43,400 --> 01:10:44,479 Speaker 3: Oh yeah, I haven't been to that one. 1468 01:10:44,520 --> 01:10:45,200 Speaker 7: I'd like to. 1469 01:10:45,120 --> 01:10:47,839 Speaker 4: Go, Absolutely amazing. I highly recommend. 1470 01:10:48,600 --> 01:10:51,679 Speaker 1: And just one last thing to underscore how it probably 1471 01:10:51,760 --> 01:10:55,000 Speaker 1: is the cost that is driving these trends. They found 1472 01:10:55,040 --> 01:10:58,240 Speaker 1: in that study they most people had been to Disney World. 1473 01:10:58,280 --> 01:11:00,479 Speaker 1: Most people who had gone to at least one park 1474 01:11:00,600 --> 01:11:01,840 Speaker 1: had gone to Disney World. 1475 01:11:02,240 --> 01:11:04,240 Speaker 4: But if the people who had. 1476 01:11:04,000 --> 01:11:06,360 Speaker 1: Not been to it, they said the top reason for 1477 01:11:06,479 --> 01:11:09,479 Speaker 1: not going was because of the cost, So for people 1478 01:11:09,520 --> 01:11:11,960 Speaker 1: who are making the decision to forego, they're not including 1479 01:11:12,000 --> 01:11:13,120 Speaker 1: it in their vacation. 1480 01:11:13,240 --> 01:11:13,719 Speaker 4: There were some. 1481 01:11:13,640 --> 01:11:15,880 Speaker 1: Percentage that was just like I just don't like theme parks, 1482 01:11:15,920 --> 01:11:19,959 Speaker 1: but forty eight percent the top reason was it's too expensive. 1483 01:11:20,040 --> 01:11:21,120 Speaker 4: So I think that says a. 1484 01:11:21,040 --> 01:11:23,559 Speaker 3: Lot, big problem, big problems on the horizon. 1485 01:11:23,720 --> 01:11:26,880 Speaker 1: So you guys may know, Hunter Biden has a child 1486 01:11:26,960 --> 01:11:31,000 Speaker 1: that he is providing child support payments to but just 1487 01:11:31,000 --> 01:11:33,599 Speaker 1: just reached a settlement with the mom to never take 1488 01:11:33,640 --> 01:11:36,559 Speaker 1: the Biden last name for this child and his father, 1489 01:11:36,720 --> 01:11:40,720 Speaker 1: President Biden doesn't even acknowledge that this child exists. He 1490 01:11:40,880 --> 01:11:44,160 Speaker 1: frequently says, very specifically, he has six grandchildren. Well, if 1491 01:11:44,200 --> 01:11:47,200 Speaker 1: you included this child, who is his grandchild, that would 1492 01:11:47,200 --> 01:11:49,800 Speaker 1: be seven grandchildren and more. In doubt of the New 1493 01:11:49,840 --> 01:11:54,000 Speaker 1: York Times, obviously liberal, oftentimes Biden supporter, actually just kind 1494 01:11:54,000 --> 01:11:57,840 Speaker 1: of quite critical of the President for his treatment of 1495 01:11:57,960 --> 01:12:02,160 Speaker 1: this seventh grandchild. The ladies' view decided to weigh in 1496 01:12:02,200 --> 01:12:03,680 Speaker 1: on us in their own special way. 1497 01:12:03,800 --> 01:12:06,200 Speaker 4: Let's take a lesson Maureen. 1498 01:12:06,360 --> 01:12:09,760 Speaker 5: Dad is saying it's bad for the child that the 1499 01:12:09,800 --> 01:12:17,080 Speaker 5: President has not acknowledged her. So I kind of think, well, 1500 01:12:17,160 --> 01:12:22,160 Speaker 5: that's she should be catching at the son whose baby 1501 01:12:22,160 --> 01:12:25,599 Speaker 5: it is. It's not the president's baby. So I don't 1502 01:12:25,640 --> 01:12:27,320 Speaker 5: know what you think, but I'm throwing it out. 1503 01:12:27,439 --> 01:12:28,519 Speaker 3: I agree with you completely. 1504 01:12:28,520 --> 01:12:29,519 Speaker 7: It shouldn't have been. 1505 01:12:31,880 --> 01:12:34,599 Speaker 10: Directed to Joe Biden, should be directed to Hunter Biden. 1506 01:12:34,880 --> 01:12:38,400 Speaker 10: It's five children, not four Hunter, because this is not 1507 01:12:38,600 --> 01:12:41,000 Speaker 10: Joe Biden's baby. And I think it's very hard for 1508 01:12:41,120 --> 01:12:43,880 Speaker 10: Joe Biden to be a grandfather to the child. If 1509 01:12:43,920 --> 01:12:45,920 Speaker 10: his son is not being a father. He can talk 1510 01:12:45,960 --> 01:12:49,479 Speaker 10: to his child, he can advice Hunter. But look, what 1511 01:12:49,720 --> 01:12:53,160 Speaker 10: is absolutely evident to me is that the right wing 1512 01:12:53,280 --> 01:12:56,880 Speaker 10: and the maga world has decided to weaponize Hunter Biden 1513 01:12:56,960 --> 01:13:00,720 Speaker 10: against his dad, and everything and anything the Hunter does 1514 01:13:00,840 --> 01:13:03,680 Speaker 10: or does not do is going to be weaponized. 1515 01:13:04,000 --> 01:13:07,160 Speaker 1: I have to tell you this story actually affected me 1516 01:13:07,320 --> 01:13:10,080 Speaker 1: way more than I expected it to. Let's go and 1517 01:13:10,160 --> 01:13:13,160 Speaker 1: put moreen Dad's column up on the screen. She talks 1518 01:13:13,160 --> 01:13:16,719 Speaker 1: about this little four year old girl in rural Arkansas 1519 01:13:16,840 --> 01:13:19,479 Speaker 1: who's growing up there, learning to ride a camouflage pattern 1520 01:13:19,520 --> 01:13:23,200 Speaker 1: four wheeler alongside her cousins. Some days she wears a 1521 01:13:23,200 --> 01:13:25,080 Speaker 1: bow in her hair. On other days, she threads her 1522 01:13:25,080 --> 01:13:27,880 Speaker 1: long blonde ponytail through the back of a baseball cap. 1523 01:13:27,920 --> 01:13:29,840 Speaker 1: When she's old enough, she'll learn to hunt, just like 1524 01:13:29,880 --> 01:13:32,880 Speaker 1: her mother did when she was young, she says. The 1525 01:13:32,880 --> 01:13:35,320 Speaker 1: girl is aware that her father is Hunter Biden, her 1526 01:13:35,320 --> 01:13:38,000 Speaker 1: paternal grandfather is the President of the United States. She 1527 01:13:38,080 --> 01:13:40,559 Speaker 1: speaks about both of them often, but she has not 1528 01:13:40,680 --> 01:13:44,839 Speaker 1: met them. Her maternal grandmother describes her as with smart 1529 01:13:44,880 --> 01:13:46,840 Speaker 1: and funny. 1530 01:13:47,360 --> 01:13:47,719 Speaker 4: Listen. 1531 01:13:48,320 --> 01:13:52,519 Speaker 1: This is the president who has made family central to 1532 01:13:52,960 --> 01:13:56,519 Speaker 1: his political brand. I mean, and I think that's part 1533 01:13:56,680 --> 01:13:59,200 Speaker 1: of what the American people have really responded. 1534 01:13:58,800 --> 01:14:00,840 Speaker 4: To with him, his empathy. 1535 01:14:01,000 --> 01:14:03,599 Speaker 1: It's the way that he centers his family and the 1536 01:14:03,640 --> 01:14:07,360 Speaker 1: tragedies that have befallen his family, even the way that 1537 01:14:07,439 --> 01:14:11,759 Speaker 1: he has embraced Hunter despite a lot of struggles with addiction, 1538 01:14:12,040 --> 01:14:14,240 Speaker 1: and you know, major roller coaster there. 1539 01:14:14,360 --> 01:14:14,880 Speaker 4: To say the. 1540 01:14:14,920 --> 01:14:18,639 Speaker 1: Least, I don't know how you just disown this child. 1541 01:14:18,880 --> 01:14:22,680 Speaker 1: I just don't know how you can morally justify that 1542 01:14:22,960 --> 01:14:26,439 Speaker 1: in any instance. And you know this, this is like 1543 01:14:26,600 --> 01:14:30,840 Speaker 1: a normal family in rural Arkansas. The dad who's kind 1544 01:14:30,840 --> 01:14:35,680 Speaker 1: of the patriarch there, This is the child's grandfather on 1545 01:14:36,120 --> 01:14:39,559 Speaker 1: his mother's side, her mother's side, he owns a gun store. 1546 01:14:39,600 --> 01:14:41,680 Speaker 1: I think you went hunting with Don Junior, like he 1547 01:14:41,720 --> 01:14:46,880 Speaker 1: seems to have some Republican leanings, so so what And 1548 01:14:46,960 --> 01:14:50,280 Speaker 1: to me it comes across, especially the piece about how 1549 01:14:50,320 --> 01:14:53,439 Speaker 1: hard they fought to make sure that this child cannot 1550 01:14:53,520 --> 01:14:57,680 Speaker 1: have the Biden last name. I mean, it really smacks 1551 01:14:57,920 --> 01:15:04,320 Speaker 1: of classism, smacks of just elitism, like you aren't worthy 1552 01:15:04,439 --> 01:15:07,719 Speaker 1: enough and the circumstances of your birth are too tawdry 1553 01:15:08,000 --> 01:15:11,519 Speaker 1: for us to even acknowledge that you exist, and certainly 1554 01:15:11,760 --> 01:15:15,040 Speaker 1: not to welcome you into the family. I don't think 1555 01:15:15,040 --> 01:15:17,080 Speaker 1: it's defensible, and I think it's grotesque that the view 1556 01:15:17,120 --> 01:15:17,760 Speaker 1: tried to defend it. 1557 01:15:17,800 --> 01:15:18,400 Speaker 3: Oh it's sick. 1558 01:15:18,520 --> 01:15:20,719 Speaker 2: I mean, I mean, look, obviously Hunter is the one 1559 01:15:20,760 --> 01:15:23,120 Speaker 2: here most to blame. I mean, he knocked up a 1560 01:15:23,160 --> 01:15:27,200 Speaker 2: stripper and then basically banished her, you know, refused to pay. 1561 01:15:27,400 --> 01:15:30,160 Speaker 2: She literally had to sue him for child support and 1562 01:15:30,240 --> 01:15:34,120 Speaker 2: for support. So let's put the deadbeat, repulsive behavior aside. 1563 01:15:34,200 --> 01:15:35,639 Speaker 3: He's not the president, so that's fine. 1564 01:15:35,640 --> 01:15:38,000 Speaker 2: But the president is the person, as you said, who 1565 01:15:38,040 --> 01:15:41,000 Speaker 2: puts family at the center, the loss that he has 1566 01:15:41,120 --> 01:15:44,679 Speaker 2: experienced throughout his life as a testament to his character 1567 01:15:44,760 --> 01:15:47,320 Speaker 2: and how he conducts himself on a daily basis, and 1568 01:15:47,360 --> 01:15:50,599 Speaker 2: he refuses to acknowledge, you know, the grandchild that he 1569 01:15:50,680 --> 01:15:54,559 Speaker 2: has by birthright, you know, in Arkansas. And then do 1570 01:15:54,640 --> 01:15:57,559 Speaker 2: we really believe that Hunter was the person who wasn't 1571 01:15:57,600 --> 01:15:59,759 Speaker 2: the you know that Bridge just the only one pushing 1572 01:16:00,040 --> 01:16:02,960 Speaker 2: that she wouldn't be able to use the Biden family name. 1573 01:16:03,120 --> 01:16:06,559 Speaker 2: Like we know that he was obviously intimately involved in this. 1574 01:16:06,640 --> 01:16:09,360 Speaker 2: And you know, Fox News is Peter Doucy has asked 1575 01:16:09,400 --> 01:16:12,759 Speaker 2: him about this grandchild before and he's flown off the handle, 1576 01:16:12,920 --> 01:16:16,200 Speaker 2: calling him a classy guy and all this stuff. I'm like, well, look, 1577 01:16:16,240 --> 01:16:18,760 Speaker 2: you know, you're pursuing one of the closet classless acts 1578 01:16:18,800 --> 01:16:20,760 Speaker 2: that I've seen, you know, from a person who is 1579 01:16:20,760 --> 01:16:24,519 Speaker 2: a head of state, who's effectively shunning somebody who is 1580 01:16:24,600 --> 01:16:28,680 Speaker 2: your grandchild through absolutely zero fault of their own. This 1581 01:16:28,760 --> 01:16:31,760 Speaker 2: is a four year old who is full knowledge of 1582 01:16:31,800 --> 01:16:34,519 Speaker 2: you as their grandparent and of your father. And if 1583 01:16:34,520 --> 01:16:37,120 Speaker 2: your son chooses to be a deadbeat dad, that's one thing, 1584 01:16:37,320 --> 01:16:40,200 Speaker 2: but it is an absolute choice on your behalf in 1585 01:16:40,320 --> 01:16:43,880 Speaker 2: order to not publicly embrace this person. And I also think, look, 1586 01:16:43,920 --> 01:16:46,559 Speaker 2: America's messy, and you know, our divorce rate speaks to that, 1587 01:16:46,720 --> 01:16:48,720 Speaker 2: and there's I think there's a lot of problems and 1588 01:16:48,760 --> 01:16:52,360 Speaker 2: all that, but most Americans would feel nothing but deep 1589 01:16:52,439 --> 01:16:56,759 Speaker 2: empathy towards you for embracing this child and for saying, 1590 01:16:56,960 --> 01:17:00,240 Speaker 2: no matter what family is family, we don't care about 1591 01:17:00,240 --> 01:17:03,040 Speaker 2: the circumstances, mistakes have been made. 1592 01:17:03,040 --> 01:17:05,800 Speaker 3: And all of that. But he's an eighty year old man. 1593 01:17:05,880 --> 01:17:07,760 Speaker 2: Do you really want to go to your deathbed knowing 1594 01:17:07,760 --> 01:17:10,200 Speaker 2: that one of your grandchildren, who is related to you 1595 01:17:10,280 --> 01:17:13,639 Speaker 2: by blood has no relationship with you? And then also 1596 01:17:13,800 --> 01:17:16,400 Speaker 2: then for have this publicly be a thing and to 1597 01:17:16,479 --> 01:17:21,040 Speaker 2: still retrench in that position is the height of disgust 1598 01:17:21,439 --> 01:17:24,080 Speaker 2: for how a person conducts himself in this way. And 1599 01:17:24,120 --> 01:17:26,679 Speaker 2: it's not just about Biden, it's about you know, Jill Biden, 1600 01:17:26,760 --> 01:17:28,519 Speaker 2: the entire first family, and. 1601 01:17:28,439 --> 01:17:30,200 Speaker 3: That the way that they have behaved here this is 1602 01:17:30,320 --> 01:17:31,440 Speaker 3: Kennedy esque. 1603 01:17:31,120 --> 01:17:33,479 Speaker 2: In terms of the way they you know, rally around 1604 01:17:33,720 --> 01:17:35,960 Speaker 2: ted after Chap equittic and all that, and the way 1605 01:17:35,960 --> 01:17:39,720 Speaker 2: that they keep these things, you know, very internal and 1606 01:17:39,840 --> 01:17:43,160 Speaker 2: try and keep the shame and you know, and and 1607 01:17:42,880 --> 01:17:47,040 Speaker 2: they go after those who you know, are victims of 1608 01:17:47,080 --> 01:17:49,960 Speaker 2: their own personal behavior just to try and retain some 1609 01:17:50,360 --> 01:17:51,040 Speaker 2: public image. 1610 01:17:51,200 --> 01:17:55,759 Speaker 1: It's so unfairly and you're right, families can be messy family. 1611 01:17:55,960 --> 01:17:59,479 Speaker 1: You know, this is obviously not something that you know, 1612 01:17:59,680 --> 01:18:03,879 Speaker 1: Hunter really wanted or Joe Biden really anticipated. It's it, 1613 01:18:04,120 --> 01:18:07,240 Speaker 1: but this child is not responsible for the way that 1614 01:18:07,280 --> 01:18:10,080 Speaker 1: she came into the world. It's not her fault who 1615 01:18:10,320 --> 01:18:13,720 Speaker 1: her parents are. And so, you know, I also was 1616 01:18:13,720 --> 01:18:19,960 Speaker 1: thinking about soccer. Remember when after Bo Biden died and 1617 01:18:20,080 --> 01:18:24,519 Speaker 1: Hunter ended up in a relationship with Bo's widow, and 1618 01:18:25,320 --> 01:18:31,040 Speaker 1: actually Joe and Jill acknowledged that, and you know, put 1619 01:18:31,080 --> 01:18:34,479 Speaker 1: their stamp of approval on that. That was also very 1620 01:18:34,600 --> 01:18:39,040 Speaker 1: messy and also rather tawdry. But you know, apparently they 1621 01:18:39,120 --> 01:18:43,160 Speaker 1: found the characters in that relationship high born enough for 1622 01:18:43,280 --> 01:18:46,640 Speaker 1: them to acknowledge. So that's why I really feel like 1623 01:18:46,720 --> 01:18:51,360 Speaker 1: this just smacks of a deep sort of classism and condescension. 1624 01:18:51,560 --> 01:18:54,960 Speaker 1: And the piece that Anna and Navarro said, I guess 1625 01:18:54,960 --> 01:18:58,080 Speaker 1: in particular, bothered me about, like, well, this isn't really 1626 01:18:58,120 --> 01:19:01,000 Speaker 1: on Joe. They should be asking Hunter, and it's like, okay, 1627 01:19:01,040 --> 01:19:02,679 Speaker 1: but Hunter's not the president of the United States. 1628 01:19:02,760 --> 01:19:03,720 Speaker 4: Number one and number two. 1629 01:19:04,800 --> 01:19:08,920 Speaker 1: How many grandparents are out there in America right now, 1630 01:19:09,320 --> 01:19:13,160 Speaker 1: who have you know, been in difficult circumstances with their 1631 01:19:13,240 --> 01:19:17,280 Speaker 1: kids and they have stepped up for their grandchildren in 1632 01:19:17,360 --> 01:19:21,840 Speaker 1: spite of whatever is going on with their children. There 1633 01:19:21,880 --> 01:19:26,479 Speaker 1: are a lot, a lot millions of grandparents who have 1634 01:19:26,560 --> 01:19:30,760 Speaker 1: stepped in to fulfill that role. So to completely absolve 1635 01:19:30,880 --> 01:19:34,400 Speaker 1: him of this, I just again, I I just genuinely 1636 01:19:34,400 --> 01:19:36,240 Speaker 1: don't understand how you can do it. And yes, the 1637 01:19:36,240 --> 01:19:39,439 Speaker 1: Republicans are doing everything they can to weaponize Hunter, no 1638 01:19:39,479 --> 01:19:43,200 Speaker 1: doubt about it, But that does not change the reality 1639 01:19:43,240 --> 01:19:45,439 Speaker 1: that number one, this is more endowed, hardly like a 1640 01:19:45,479 --> 01:19:49,320 Speaker 1: Republican operative here. And number two, this child is his 1641 01:19:49,400 --> 01:19:53,639 Speaker 1: grandchild and the basic human decent thing to do is 1642 01:19:53,680 --> 01:19:57,080 Speaker 1: to welcome and celebrate her and have her be part. 1643 01:19:56,920 --> 01:19:57,360 Speaker 4: Of the family. 1644 01:19:57,400 --> 01:19:58,120 Speaker 3: You're absolutely right. 1645 01:19:58,160 --> 01:20:00,000 Speaker 2: You know, think about the millions of people out there 1646 01:20:00,160 --> 01:20:03,360 Speaker 2: with very similar circumstances who had crack addicted children, who 1647 01:20:03,400 --> 01:20:05,760 Speaker 2: may have fathered children, you know, out of wedlock and 1648 01:20:05,760 --> 01:20:06,920 Speaker 2: all that, and they stepped up. 1649 01:20:06,960 --> 01:20:07,760 Speaker 4: Go to Westbridge. 1650 01:20:07,800 --> 01:20:10,120 Speaker 1: The number of grandparents who are raising kids and you 1651 01:20:10,160 --> 01:20:11,080 Speaker 1: know their grandkids. 1652 01:20:11,479 --> 01:20:13,639 Speaker 2: Where I'm from, it's a very common thing as well. 1653 01:20:13,760 --> 01:20:15,200 Speaker 2: I know a lot of people. That's why I said, 1654 01:20:15,200 --> 01:20:16,640 Speaker 2: you know, if you act in the right way, you 1655 01:20:16,680 --> 01:20:19,320 Speaker 2: actually could have some empathy. But you know, look, he's 1656 01:20:19,360 --> 01:20:24,920 Speaker 2: chosen to conduct himself this manner. I think he's absolutely discussing, Crystal, 1657 01:20:24,960 --> 01:20:25,800 Speaker 2: what are you taking a look at? 1658 01:20:25,960 --> 01:20:26,240 Speaker 4: Well? 1659 01:20:26,360 --> 01:20:29,320 Speaker 1: Former President Obama has emerged once again to lecture us 1660 01:20:29,360 --> 01:20:31,479 Speaker 1: all on our failings and to bemoan the state of 1661 01:20:31,520 --> 01:20:33,720 Speaker 1: the world, a state that he himself co authored as 1662 01:20:33,800 --> 01:20:36,160 Speaker 1: president for eight years. Of course, here he is in 1663 01:20:36,200 --> 01:20:39,400 Speaker 1: an interview with Hasanmanaj, explaining the advice that he would 1664 01:20:39,400 --> 01:20:42,040 Speaker 1: give to his daughter Malia on the despair she feels 1665 01:20:42,080 --> 01:20:43,120 Speaker 1: about climate change. 1666 01:20:43,240 --> 01:20:46,280 Speaker 9: Malia comes to me, she says, you know what, she's 1667 01:20:46,320 --> 01:20:46,880 Speaker 9: twenty four. 1668 01:20:48,080 --> 01:20:49,160 Speaker 7: All our friends. 1669 01:20:50,760 --> 01:20:54,280 Speaker 9: We sometimes we talk about climate change and we just 1670 01:20:54,479 --> 01:20:58,120 Speaker 9: feel like there is no way we're going to be 1671 01:20:58,160 --> 01:21:00,519 Speaker 9: able to solve this. We're looking at the science. It 1672 01:21:00,560 --> 01:21:02,519 Speaker 9: feels as if we're on a trajectory that we're going 1673 01:21:02,600 --> 01:21:08,840 Speaker 9: to sail past this two degrees centigrade benchmark, where after 1674 01:21:08,920 --> 01:21:12,360 Speaker 9: that potentially things are getting cataclysmic. And so I'll be 1675 01:21:12,400 --> 01:21:14,280 Speaker 9: honest with you, Dad, a lot of my friends they 1676 01:21:14,360 --> 01:21:18,479 Speaker 9: just feel as if what's the point because the world's 1677 01:21:18,479 --> 01:21:22,479 Speaker 9: burning and there's nothing I can do. And I said 1678 01:21:22,520 --> 01:21:26,960 Speaker 9: to her, well, she asked me, what should I say 1679 01:21:27,000 --> 01:21:29,519 Speaker 9: to them? And what I said to him is what 1680 01:21:29,560 --> 01:21:34,519 Speaker 9: I said to her is Look, we may not be 1681 01:21:34,600 --> 01:21:43,439 Speaker 9: able to cap temperature rise to two degrees centigrade. But 1682 01:21:43,520 --> 01:21:47,639 Speaker 9: here's the thing. If we work really hard, we may 1683 01:21:47,680 --> 01:21:49,160 Speaker 9: be able to cap it at two and a half 1684 01:21:50,880 --> 01:21:55,080 Speaker 9: instead of three, or three instead of three and a half. 1685 01:21:56,280 --> 01:22:03,120 Speaker 9: That extra centigrade that might mean the difference between whether 1686 01:22:04,880 --> 01:22:08,080 Speaker 9: Bamalla Dash is underwater, right. It might make the difference 1687 01:22:08,680 --> 01:22:14,360 Speaker 9: as to whether you know, one hundred million people have 1688 01:22:14,439 --> 01:22:17,040 Speaker 9: to migrate right or only a few. 1689 01:22:17,360 --> 01:22:18,719 Speaker 3: In these incremental changes. 1690 01:22:18,840 --> 01:22:19,559 Speaker 7: That matters. 1691 01:22:20,479 --> 01:22:23,840 Speaker 9: It makes a difference, and we're fighting for and it's 1692 01:22:23,840 --> 01:22:24,360 Speaker 9: worth fighting. 1693 01:22:24,400 --> 01:22:26,920 Speaker 11: You can't descend into nihilism and not try to save 1694 01:22:27,000 --> 01:22:29,479 Speaker 11: those one hundred, two hundred and three hundred million people. 1695 01:22:29,680 --> 01:22:30,840 Speaker 4: That's a lot of people. 1696 01:22:31,080 --> 01:22:32,120 Speaker 7: Yeah, that's a lot of people. 1697 01:22:32,360 --> 01:22:34,840 Speaker 1: Now, there are about one hundred and raging things about 1698 01:22:34,880 --> 01:22:37,720 Speaker 1: all of this, and they are all classic Obama. The 1699 01:22:37,760 --> 01:22:40,400 Speaker 1: most maddening has got to be the way he always 1700 01:22:40,439 --> 01:22:43,280 Speaker 1: removes himself from the action, blessing us with his wisdom, 1701 01:22:43,280 --> 01:22:46,080 Speaker 1: but never, you know, actually doing anything about the problems 1702 01:22:46,080 --> 01:22:49,120 Speaker 1: that he identifies. Even as president he basically did the 1703 01:22:49,120 --> 01:22:52,120 Speaker 1: same thing, unwilling to get his hands, dirty and political struggle, 1704 01:22:52,160 --> 01:22:57,000 Speaker 1: but very happy to dispense sage advice and analysis here. Also, 1705 01:22:57,160 --> 01:23:01,120 Speaker 1: as is his custom, Obama completely absolves him of accountability 1706 01:23:01,120 --> 01:23:04,840 Speaker 1: for his own record of climate action avoidance at what, 1707 01:23:04,920 --> 01:23:08,920 Speaker 1: in retrospect was obviously a really critical time. The centerpiece 1708 01:23:09,000 --> 01:23:11,639 Speaker 1: of those efforts was cap and Trade legislation, which passed 1709 01:23:11,680 --> 01:23:13,320 Speaker 1: the House and got hung up in the Senate in 1710 01:23:13,360 --> 01:23:16,840 Speaker 1: Obama's first term. Please recall that Obama had a big 1711 01:23:16,880 --> 01:23:20,360 Speaker 1: House majority and for a time a filibuster proof majority 1712 01:23:20,400 --> 01:23:23,480 Speaker 1: in the Senate. Once Cap and Trade became politically polarized 1713 01:23:23,520 --> 01:23:26,760 Speaker 1: and bipartisan support dropped from it, Obama just abandoned and 1714 01:23:26,800 --> 01:23:30,200 Speaker 1: really never looked back. Instead, he vacillated between some small 1715 01:23:30,200 --> 01:23:33,360 Speaker 1: boar efforts like the virtue signaling Paris Climate Agreement, which 1716 01:23:33,439 --> 01:23:36,320 Speaker 1: lacked any sort of legal force of law, an actively 1717 01:23:36,360 --> 01:23:39,920 Speaker 1: destructive policy like continuing oil and gas subsidies, backing fossil 1718 01:23:39,960 --> 01:23:42,559 Speaker 1: fuel projects around the world, and leaning hard into the 1719 01:23:42,600 --> 01:23:46,640 Speaker 1: new fracking boom. Here so you will recall, is Obama 1720 01:23:46,720 --> 01:23:50,200 Speaker 1: bragging to a Texas audience about his role in Drill, Baby, Drill. 1721 01:23:50,560 --> 01:23:52,360 Speaker 7: No, We're an oil country and. 1722 01:23:53,720 --> 01:23:58,280 Speaker 9: We need American energy, and by the way American energy production. 1723 01:23:59,520 --> 01:24:04,840 Speaker 9: You wouldn't always know it, but yeah, it went up 1724 01:24:04,960 --> 01:24:10,320 Speaker 9: every year I was president, and you know that whole 1725 01:24:10,880 --> 01:24:13,800 Speaker 9: Suddenly America is like the biggest oil producer and the 1726 01:24:13,800 --> 01:24:15,920 Speaker 9: biggest gut That was me, people. 1727 01:24:15,960 --> 01:24:19,160 Speaker 4: I just want you to so that was me, people. 1728 01:24:19,640 --> 01:24:21,960 Speaker 1: Climate activist Bill mckibbon put it this way in an 1729 01:24:22,000 --> 01:24:25,320 Speaker 1: interview with the Obama Oral History Project. Quote, no matter 1730 01:24:25,320 --> 01:24:27,439 Speaker 1: how much I liked him, it was very clear he 1731 01:24:27,479 --> 01:24:29,800 Speaker 1: could care less about any of this stuff at some 1732 01:24:29,960 --> 01:24:32,880 Speaker 1: deep level and was not willing to sacrifice or suffer 1733 01:24:33,040 --> 01:24:34,280 Speaker 1: any political. 1734 01:24:33,840 --> 01:24:36,000 Speaker 4: Pain in order to raise the issue. 1735 01:24:36,040 --> 01:24:37,720 Speaker 1: I think you could say that about a number of 1736 01:24:37,760 --> 01:24:41,160 Speaker 1: issues during the Obama era. Now, how does that reality 1737 01:24:41,400 --> 01:24:44,679 Speaker 1: square with Obama's admonition to young people that they've got 1738 01:24:44,680 --> 01:24:46,760 Speaker 1: to fight and work really hard to try to limit 1739 01:24:46,800 --> 01:24:50,280 Speaker 1: temperature rise, a struggle that he absented himself from in 1740 01:24:50,400 --> 01:24:52,799 Speaker 1: office and has failed to join as a private citizen, 1741 01:24:53,000 --> 01:24:55,960 Speaker 1: preferring instead to fill his role as global brand and 1742 01:24:56,040 --> 01:24:58,639 Speaker 1: swooping in a key moments to enforce a Democratic party 1743 01:24:58,680 --> 01:25:02,000 Speaker 1: status quote. His his post presidency deserves, in my opinion, 1744 01:25:02,040 --> 01:25:04,920 Speaker 1: as much scrutiny in some ways as his presidency. Here 1745 01:25:04,960 --> 01:25:08,559 Speaker 1: He is a wealthy, beloved, connected, powerful global figure who 1746 01:25:08,560 --> 01:25:11,479 Speaker 1: has dedicated his life to popping up in interviews such 1747 01:25:11,479 --> 01:25:13,439 Speaker 1: as this one to demand that we limit our political 1748 01:25:13,439 --> 01:25:17,000 Speaker 1: imaginations and enforce a worldview that says incrementalism is the 1749 01:25:17,160 --> 01:25:19,320 Speaker 1: very best that we can hope for. That's what really 1750 01:25:19,320 --> 01:25:22,160 Speaker 1: comes through in the little negotiation he has with himself 1751 01:25:22,200 --> 01:25:24,760 Speaker 1: and his theoretical advice to Malia on what level of 1752 01:25:24,760 --> 01:25:25,880 Speaker 1: temperature increase. 1753 01:25:25,600 --> 01:25:26,639 Speaker 4: That we should try to settle. 1754 01:25:26,680 --> 01:25:29,520 Speaker 1: For the fact that, thanks in part to his own failures, 1755 01:25:29,560 --> 01:25:31,840 Speaker 1: we will surely blow past the two degrees mark is 1756 01:25:31,880 --> 01:25:35,200 Speaker 1: hand waved away, even as he acknowledges that every tick 1757 01:25:35,320 --> 01:25:38,920 Speaker 1: upward is potentially devastating for vast swahs of humanity. Just 1758 01:25:38,920 --> 01:25:40,200 Speaker 1: to give you a little bit of a sense here, 1759 01:25:40,240 --> 01:25:42,760 Speaker 1: one analysis found that temperature rise of two point five 1760 01:25:42,880 --> 01:25:46,080 Speaker 1: or three degrees, which Obama floats, could slash global GDP 1761 01:25:46,400 --> 01:25:49,200 Speaker 1: by a quarter. But if incrementalism is all that's on off, 1762 01:25:49,280 --> 01:25:51,479 Speaker 1: or you have to accept that temperatures will just continue 1763 01:25:51,520 --> 01:25:53,280 Speaker 1: to rise and we should just fight really hard to 1764 01:25:53,320 --> 01:25:56,000 Speaker 1: limit the war's displacement and death that will surely result. 1765 01:25:56,120 --> 01:25:57,840 Speaker 1: I'm sure he and his family, of course, will be 1766 01:25:57,880 --> 01:26:00,559 Speaker 1: well insulated from all of the chaos. To me, though, 1767 01:26:00,680 --> 01:26:02,559 Speaker 1: in some ways, the most interesting part of this interview 1768 01:26:02,600 --> 01:26:04,840 Speaker 1: came in a question from Minaj because he put his 1769 01:26:04,840 --> 01:26:06,599 Speaker 1: finger on something that's been bothering me. 1770 01:26:06,520 --> 01:26:07,080 Speaker 4: For a while. 1771 01:26:07,479 --> 01:26:10,960 Speaker 1: Listen to how he practically begs Obama to actually be 1772 01:26:11,120 --> 01:26:12,960 Speaker 1: emotionally honest just for once. 1773 01:26:13,040 --> 01:26:14,120 Speaker 7: That is what I'm trying to get out of you. 1774 01:26:14,160 --> 01:26:17,920 Speaker 11: Actually, I'm actually just gonna say it, emotional honesty. Yes, 1775 01:26:18,080 --> 01:26:20,360 Speaker 11: because when you first came into office, when I was 1776 01:26:20,920 --> 01:26:24,400 Speaker 11: uh Sasha's age, you were like ted Lasso season one, 1777 01:26:25,439 --> 01:26:30,760 Speaker 11: folks see optimistic, cheerful, and now some of these kind 1778 01:26:30,760 --> 01:26:33,439 Speaker 11: of like vox dot com talking points feel like Ted 1779 01:26:33,479 --> 01:26:38,200 Speaker 11: Lasso season three, oh man, predictable and that time's forced 1780 01:26:38,439 --> 01:26:40,960 Speaker 11: and what let me give you that's a tough review, 1781 01:26:41,040 --> 01:26:42,920 Speaker 11: but I want to give you props. Yes, remember that 1782 01:26:42,960 --> 01:26:46,040 Speaker 11: moment where you were like caught the hot mic in 1783 01:26:46,080 --> 01:26:50,480 Speaker 11: your like Kanye is a jackass. 1784 01:26:49,040 --> 01:26:51,040 Speaker 7: A nice person award? 1785 01:26:51,840 --> 01:26:57,200 Speaker 5: Why would he do that? 1786 01:26:57,520 --> 01:27:02,760 Speaker 11: And everyone's like yes, yeah, yes, there's these moments of 1787 01:27:02,800 --> 01:27:07,080 Speaker 11: emotional honesty where there's such deep resonance because the American 1788 01:27:07,120 --> 01:27:09,880 Speaker 11: public feels gas lit and lie to I will say 1789 01:27:09,880 --> 01:27:14,000 Speaker 11: this about the other guy who is in office. He 1790 01:27:14,160 --> 01:27:16,839 Speaker 11: was a factual liar, but emotionally honest. 1791 01:27:17,200 --> 01:27:18,240 Speaker 9: He was always who he is. 1792 01:27:18,520 --> 01:27:22,719 Speaker 11: Yeah, but I think progressives sometimes can be factually accurate 1793 01:27:22,960 --> 01:27:24,280 Speaker 11: but emotionally dishonest. 1794 01:27:24,400 --> 01:27:27,040 Speaker 1: Now Obama doesn't really respond, of course, he just swears 1795 01:27:27,040 --> 01:27:28,519 Speaker 1: he's being who he really is. 1796 01:27:28,520 --> 01:27:30,280 Speaker 4: And listen, maybe that's true. 1797 01:27:30,400 --> 01:27:32,800 Speaker 1: But we should not allow politicians like him or Biden, 1798 01:27:32,880 --> 01:27:35,599 Speaker 1: or so called progressives to get away with claiming an 1799 01:27:35,640 --> 01:27:39,760 Speaker 1: issue is existential and then meekly crying about the parliamentarian 1800 01:27:39,920 --> 01:27:42,320 Speaker 1: or how mean the Republicans are, or the difficulty of 1801 01:27:42,360 --> 01:27:46,320 Speaker 1: working with Joe Manchin. It is, at its core, deeply dishonest. 1802 01:27:46,520 --> 01:27:49,559 Speaker 1: It's emotionally manipulative. Not to mention the stakes are really 1803 01:27:49,600 --> 01:27:52,479 Speaker 1: pretty high. Just to look around the world right now. 1804 01:27:52,520 --> 01:27:54,080 Speaker 1: We just had a string of days that were the 1805 01:27:54,120 --> 01:27:57,240 Speaker 1: hottest in history, and the Southwest is getting roasted with 1806 01:27:57,360 --> 01:28:00,960 Speaker 1: relentless triple digit heat pushing one hundred and twenty degrees. 1807 01:28:01,560 --> 01:28:04,920 Speaker 1: Historic Canadian wildfires are suffocating much of the US with 1808 01:28:05,000 --> 01:28:07,720 Speaker 1: dangerously poor air quality levels on what is now a 1809 01:28:07,760 --> 01:28:12,320 Speaker 1: pretty regular basis. Meanwhile, extreme floods just hit New York 1810 01:28:12,360 --> 01:28:14,280 Speaker 1: and Vermont, much of New England, and what is being 1811 01:28:14,280 --> 01:28:17,920 Speaker 1: described as a one in one thousand year tidal wave 1812 01:28:18,000 --> 01:28:21,800 Speaker 1: of water that has already caused massive damage, chaos, and 1813 01:28:21,880 --> 01:28:26,000 Speaker 1: led to at least one death. Obama can, I'm sure, 1814 01:28:26,240 --> 01:28:29,799 Speaker 1: recite these statistics and more quite ablee in a soothing 1815 01:28:29,880 --> 01:28:33,320 Speaker 1: tone of deep concern, and then he will implore young 1816 01:28:33,360 --> 01:28:36,640 Speaker 1: people to take action because g someone ought to do 1817 01:28:36,760 --> 01:28:38,960 Speaker 1: something about all of these problems. 1818 01:28:39,760 --> 01:28:41,320 Speaker 4: Saga. It's classic Obama. 1819 01:28:41,439 --> 01:28:44,240 Speaker 2: And if you want to hear my reaction to Crystal's monologue, 1820 01:28:44,240 --> 01:28:50,120 Speaker 2: become a premium subscriber today at Breakingpoints dot Com. 1821 01:28:50,160 --> 01:28:51,599 Speaker 4: All right, Saga, were looking at well. 1822 01:28:51,720 --> 01:28:53,880 Speaker 2: Whenever I travel, I try my best to check out 1823 01:28:53,880 --> 01:28:56,719 Speaker 2: from the news completely, but I confess only two things 1824 01:28:56,760 --> 01:28:58,639 Speaker 2: actually piqued my interest while I was gone. 1825 01:28:58,680 --> 01:29:00,479 Speaker 3: Affirmative Action, which I touch on. 1826 01:29:00,479 --> 01:29:03,320 Speaker 2: Yesterday, and then rumblings about a movie that I had 1827 01:29:03,360 --> 01:29:06,200 Speaker 2: not heard of, Sound of Freedom. From what I could gather, 1828 01:29:06,320 --> 01:29:09,280 Speaker 2: it was doing very well in the US despite expectations. 1829 01:29:09,479 --> 01:29:11,760 Speaker 2: But only upon my return did I decide to look 1830 01:29:11,800 --> 01:29:14,640 Speaker 2: into it, not only in the movie, but an increasingly 1831 01:29:14,720 --> 01:29:18,040 Speaker 2: shrill and elite effort to stop people from watching the movie. 1832 01:29:18,080 --> 01:29:21,080 Speaker 3: And why So, to begin with, what is the Sound 1833 01:29:21,080 --> 01:29:21,559 Speaker 3: of freedom. 1834 01:29:21,800 --> 01:29:24,240 Speaker 2: Well, it's a movie loosely based on the life of 1835 01:29:24,280 --> 01:29:27,759 Speaker 2: Tim Ballard. He's the founder of an operation Underground Railroad, 1836 01:29:28,040 --> 01:29:32,480 Speaker 2: an organization dedicated to combating global child trafficking. Ballard previously 1837 01:29:32,520 --> 01:29:34,599 Speaker 2: served as a special agent in the Department of Homeland 1838 01:29:34,640 --> 01:29:38,559 Speaker 2: Security to combat child pornography and child endangerment, but left 1839 01:29:38,640 --> 01:29:41,280 Speaker 2: to start his own organization after he says he found 1840 01:29:41,320 --> 01:29:44,320 Speaker 2: bureaucratic red tape that frustrated his ability to try and 1841 01:29:44,400 --> 01:29:48,559 Speaker 2: save children in developing countries. The film dramatizes efforts by 1842 01:29:48,560 --> 01:29:53,040 Speaker 2: Ballard and his organization to infiltrate child sex trafficking organizations abroad, 1843 01:29:53,360 --> 01:29:56,440 Speaker 2: but bust them that saved the kids and press lawmakers 1844 01:29:56,439 --> 01:29:59,080 Speaker 2: to pass laws to make it more difficult. Overall, the 1845 01:29:59,120 --> 01:30:01,920 Speaker 2: film has been a sh shocking, dramatic success so far, 1846 01:30:02,240 --> 01:30:04,479 Speaker 2: some forty million dollars at the box office in a 1847 01:30:04,520 --> 01:30:06,679 Speaker 2: few days, and has come close even to the latest 1848 01:30:06,720 --> 01:30:10,280 Speaker 2: release of the Indiana Jones franchise. So the question arises, 1849 01:30:10,439 --> 01:30:14,320 Speaker 2: why is there even a controversy around this movie at all? Well, apparently, 1850 01:30:14,439 --> 01:30:17,280 Speaker 2: child sex trafficking is a topic itself has now been 1851 01:30:17,439 --> 01:30:21,080 Speaker 2: very politicized in the eyes of these media organizations. Effectively 1852 01:30:21,080 --> 01:30:25,240 Speaker 2: being linked in and mentioned whatsoever with the QAnon movement. Now, 1853 01:30:25,280 --> 01:30:28,960 Speaker 2: criticism of the movie effectively says that it dramatizes the 1854 01:30:29,080 --> 01:30:32,400 Speaker 2: problem of child sex trafficking globally and feeds q ANDON 1855 01:30:32,520 --> 01:30:36,400 Speaker 2: conspiracies by validating it as a reality. This was effectively 1856 01:30:36,439 --> 01:30:39,639 Speaker 2: the criticism that CNN brought on its air regarding the movie. 1857 01:30:39,760 --> 01:30:41,200 Speaker 3: Let's take a listen, and. 1858 01:30:41,120 --> 01:30:45,000 Speaker 8: This film is being marketed to either specific q ANDON 1859 01:30:45,080 --> 01:30:47,479 Speaker 8: believers or to people who believe all of the same 1860 01:30:47,560 --> 01:30:50,640 Speaker 8: tenets as QAnon but claim they don't know what it is. 1861 01:30:51,640 --> 01:30:54,240 Speaker 12: And the Sound of Freedom does focus on a real 1862 01:30:54,320 --> 01:30:58,720 Speaker 12: issue of sex trafficking. But that theme, it's sort of 1863 01:30:58,760 --> 01:31:03,360 Speaker 12: like that kernel of truth that feeds the QAnon conspiracy theory. 1864 01:31:03,840 --> 01:31:06,719 Speaker 12: Tell us how those two things work together. 1865 01:31:08,760 --> 01:31:11,920 Speaker 8: Sure, and the most durable and the most believable conspiracy 1866 01:31:11,920 --> 01:31:15,320 Speaker 8: theories are not entirely false. There's something in them that 1867 01:31:15,439 --> 01:31:17,400 Speaker 8: is true and the rest of it is false. But 1868 01:31:17,400 --> 01:31:19,840 Speaker 8: the believers point to the one true thing and they say, oh, 1869 01:31:20,040 --> 01:31:22,240 Speaker 8: you don't believe that this particular thing is true. In 1870 01:31:22,360 --> 01:31:25,040 Speaker 8: terms of child trafficking. We know trafficking is real, we 1871 01:31:25,080 --> 01:31:27,400 Speaker 8: know it has real victims. No one is denying that 1872 01:31:27,800 --> 01:31:31,280 Speaker 8: but these films are created out of moral panics, they're 1873 01:31:31,320 --> 01:31:34,719 Speaker 8: created out of bogus statistics, They're created out of fear, 1874 01:31:35,040 --> 01:31:37,640 Speaker 8: and with something like Sound of Freedom, it specifically is 1875 01:31:37,680 --> 01:31:41,000 Speaker 8: looking at q it on concepts of these child trafficking 1876 01:31:41,080 --> 01:31:43,920 Speaker 8: rings that are run by the high level elites, and 1877 01:31:43,960 --> 01:31:46,519 Speaker 8: only people like Tim Ballard, and only people like Jim 1878 01:31:46,560 --> 01:31:49,839 Speaker 8: Cavizl and by extension, only people like the ticket buyer 1879 01:31:50,160 --> 01:31:52,320 Speaker 8: can help bring these trafficking rings down. 1880 01:31:52,479 --> 01:31:54,880 Speaker 2: Okay, so the criticism is actually simple. The film is 1881 01:31:54,920 --> 01:31:58,679 Speaker 2: being marketed towards QAnon believers or those unwittingly are buying 1882 01:31:58,760 --> 01:32:00,920 Speaker 2: into QAnon who watch the movie. But in the same 1883 01:32:00,960 --> 01:32:03,360 Speaker 2: breath they do acknowledge, of course the child sex trafficking 1884 01:32:03,439 --> 01:32:05,200 Speaker 2: is real, but that the idea of that it leads 1885 01:32:05,240 --> 01:32:08,439 Speaker 2: participating it is ridiculous. Well, perhaps they have not heard 1886 01:32:08,479 --> 01:32:11,080 Speaker 2: of Epstein's Island. But below all of this, I find 1887 01:32:11,120 --> 01:32:14,479 Speaker 2: myself asking a simple question, why are the CNN these 1888 01:32:14,520 --> 01:32:18,200 Speaker 2: other liberal media organizations spending so much time going after 1889 01:32:18,280 --> 01:32:20,679 Speaker 2: one of the most basic movie ideas of all time 1890 01:32:21,040 --> 01:32:24,160 Speaker 2: based on a true story. Rolling Stone took the same 1891 01:32:24,240 --> 01:32:26,400 Speaker 2: tactic in the review of the movie, saying Sound of 1892 01:32:26,439 --> 01:32:30,439 Speaker 2: Freedom is a superhero movie for dads with brainworms and 1893 01:32:30,520 --> 01:32:34,160 Speaker 2: described it as quote a q andon tinged thriller about 1894 01:32:34,200 --> 01:32:37,720 Speaker 2: child trafficking designed to appeal to the conscience. 1895 01:32:37,200 --> 01:32:39,040 Speaker 3: Of a conspiracy addled boomer. 1896 01:32:39,520 --> 01:32:42,920 Speaker 2: The review evidence for why the movie is QAnon adjacent 1897 01:32:42,960 --> 01:32:44,439 Speaker 2: is that some people on. 1898 01:32:44,360 --> 01:32:47,479 Speaker 3: Some q and on boards are heralding the movie. 1899 01:32:47,520 --> 01:32:51,160 Speaker 2: And once again took aim at the moving for movie 1900 01:32:51,160 --> 01:32:54,360 Speaker 2: for validating that child sex trafficking is a big problem 1901 01:32:54,400 --> 01:32:55,280 Speaker 2: in our society. 1902 01:32:55,560 --> 01:32:58,559 Speaker 3: They write, quote, there is visible suffering all around us 1903 01:32:58,600 --> 01:32:59,160 Speaker 3: in America. 1904 01:32:59,200 --> 01:33:02,519 Speaker 2: There are poor and unhoused people brutalized killed by police. 1905 01:33:02,680 --> 01:33:05,680 Speaker 2: There are mass shootings, lack of healthcare, climate disasters, and 1906 01:33:05,800 --> 01:33:08,920 Speaker 2: yet over and over again, the far right learns these 1907 01:33:09,200 --> 01:33:14,080 Speaker 2: sortid fantasies about godless monsters hurting children. I mean, once again, 1908 01:33:14,280 --> 01:33:18,080 Speaker 2: is anyone saying that any of those problems are not real? 1909 01:33:18,640 --> 01:33:21,120 Speaker 2: Are they just even saying that by watching this movie 1910 01:33:21,200 --> 01:33:23,439 Speaker 2: or supporting it, the child sex traffic is the biggest 1911 01:33:23,439 --> 01:33:25,439 Speaker 2: problem that we face, or are they just saying it's 1912 01:33:25,439 --> 01:33:29,000 Speaker 2: a problem ignored or not paying enough attention to in society. 1913 01:33:29,360 --> 01:33:32,240 Speaker 2: The Guardian also parroted the same line in their review 1914 01:33:32,240 --> 01:33:34,960 Speaker 2: of the film. They called it QAnon adjacent, and once 1915 01:33:35,000 --> 01:33:38,200 Speaker 2: again they are the only ones shoehorning anything political into 1916 01:33:38,200 --> 01:33:42,000 Speaker 2: this interpretation. They readily admit that Taken, a film already 1917 01:33:42,040 --> 01:33:45,479 Speaker 2: made starring Liam Neeson, invented this genre and that the 1918 01:33:45,520 --> 01:33:49,120 Speaker 2: film seeks to replicate its very success to prove q 1919 01:33:49,280 --> 01:33:52,400 Speaker 2: Andon connections. Reviews focus on the star of the film 1920 01:33:52,640 --> 01:33:56,080 Speaker 2: and his past comments, but they seldom find any specific 1921 01:33:56,160 --> 01:34:00,160 Speaker 2: example overtly in the movie, tying it to a conspiracy. 1922 01:34:00,560 --> 01:34:02,360 Speaker 2: In my opinion, you do not have to be a 1923 01:34:02,400 --> 01:34:05,200 Speaker 2: crazy person to believe child sex trafficking is a problem, 1924 01:34:05,360 --> 01:34:07,720 Speaker 2: and it shouldn't be a political statement actually to go 1925 01:34:07,760 --> 01:34:10,959 Speaker 2: on an entertaining film trying to highlight such this subject. 1926 01:34:11,160 --> 01:34:13,920 Speaker 2: I particularly found it funny that Rolling Stone described the 1927 01:34:13,960 --> 01:34:16,360 Speaker 2: movie as the dream of boomer dads and describe the 1928 01:34:16,400 --> 01:34:19,639 Speaker 2: plot as some sort of white savior complex. Considering that 1929 01:34:19,680 --> 01:34:23,960 Speaker 2: the current data released so far via Variety indicates ticket 1930 01:34:23,960 --> 01:34:27,559 Speaker 2: buyers to this film are quote predominantly female, and that 1931 01:34:27,640 --> 01:34:30,919 Speaker 2: a full one third of the audience so far is Hispanic, 1932 01:34:31,200 --> 01:34:33,920 Speaker 2: someone should ask these female Latinos what they think of 1933 01:34:33,960 --> 01:34:36,960 Speaker 2: that criticism, And in fact, I actually think this demographic 1934 01:34:37,080 --> 01:34:41,160 Speaker 2: validates something important about the film. Vulnerable children in developing 1935 01:34:41,160 --> 01:34:44,719 Speaker 2: countries are preyed upon by wealthy people both in country 1936 01:34:44,880 --> 01:34:49,280 Speaker 2: and who travel abroad specifically to indulge in these disgusting fantasies. 1937 01:34:49,640 --> 01:34:52,439 Speaker 2: Anyone who has ever been to Thailand or walk the 1938 01:34:52,479 --> 01:34:55,840 Speaker 2: streets of Bangkok or Fuquet like I have, knows what 1939 01:34:55,920 --> 01:34:59,600 Speaker 2: this film describes is a very real and gross phenomenon. 1940 01:35:00,000 --> 01:35:03,040 Speaker 2: A large Hispanic audience from the film may even have 1941 01:35:03,200 --> 01:35:06,959 Speaker 2: personal experience with this issue, considering that Latin America remains 1942 01:35:07,040 --> 01:35:10,520 Speaker 2: one of the global hotspots of child trafficking today. Furthermore, 1943 01:35:10,640 --> 01:35:12,920 Speaker 2: the real line that the media appears to be going 1944 01:35:12,960 --> 01:35:15,920 Speaker 2: with is that any discussion of elites and child sex 1945 01:35:15,960 --> 01:35:20,760 Speaker 2: trafficking by definition, validates every q Andon conspiracy ever. And 1946 01:35:20,880 --> 01:35:23,320 Speaker 2: first of all, it's as if they want to pretend, 1947 01:35:23,360 --> 01:35:25,920 Speaker 2: as I said, that Epstein never happened and that we 1948 01:35:26,000 --> 01:35:28,599 Speaker 2: still don't know all the people who were involved there. 1949 01:35:28,720 --> 01:35:33,880 Speaker 2: But second, why does someone somewhere believing something wacky invalidate 1950 01:35:34,000 --> 01:35:37,000 Speaker 2: what before q Andon has always been acknowledged as a 1951 01:35:37,040 --> 01:35:42,040 Speaker 2: pervasive problem plaguing US law enforcement globally. Broadly, the success 1952 01:35:42,080 --> 01:35:44,880 Speaker 2: of the film does speak volumes. It is running on 1953 01:35:44,960 --> 01:35:47,120 Speaker 2: part at the box office as I said with Indiana, 1954 01:35:47,160 --> 01:35:50,840 Speaker 2: Jones undeniably already called a summer box office hit with 1955 01:35:50,960 --> 01:35:55,679 Speaker 2: effectively zero mainstream promotion and strength only from online support 1956 01:35:55,880 --> 01:35:58,960 Speaker 2: and word of mouth. Hollywood pros are already saying it 1957 01:35:59,040 --> 01:36:02,000 Speaker 2: is especially notework that it hit the top five in 1958 01:36:02,040 --> 01:36:05,800 Speaker 2: a time reserved for the biggest blockbusters in all of Hollywood. 1959 01:36:06,040 --> 01:36:07,800 Speaker 2: And at the end of the day, people want to 1960 01:36:07,800 --> 01:36:10,280 Speaker 2: be entertained, and they also don't want to be told 1961 01:36:10,360 --> 01:36:13,519 Speaker 2: what to think, so maybe things in entertainment will be okay. 1962 01:36:13,600 --> 01:36:16,559 Speaker 2: After all, I'm curious what your sound of freedom take is, Crystal. 1963 01:36:16,600 --> 01:36:17,479 Speaker 2: What do you think I mean? 1964 01:36:17,600 --> 01:36:24,240 Speaker 1: Listen, liberals are annoying, okay, but film is political. Conservatives 1965 01:36:24,280 --> 01:36:28,760 Speaker 1: freacount all the time about various mainstream movies. There's a 1966 01:36:28,760 --> 01:36:32,240 Speaker 1: whole like Barbie Map controversy right now. All that's about 1967 01:36:32,240 --> 01:36:36,799 Speaker 1: Southshire's Little Mermaid, you know, the main character being black. 1968 01:36:36,880 --> 01:36:39,280 Speaker 1: So you know, I think that there is a lot 1969 01:36:39,320 --> 01:36:43,160 Speaker 1: of conservative freacount about movies. And I would also say, listen, 1970 01:36:43,200 --> 01:36:44,800 Speaker 1: I haven't seen the movie. You haven't seen the movie. 1971 01:36:44,800 --> 01:36:47,519 Speaker 1: I'm not going to opine on the specifics of the movie. 1972 01:36:48,320 --> 01:36:51,200 Speaker 1: The dude that it is based on is at best 1973 01:36:51,280 --> 01:36:56,320 Speaker 1: of fabulous and at worst an outright fraudster. His organization 1974 01:36:56,520 --> 01:36:59,200 Speaker 1: has been caught in any number of lies. Just to 1975 01:36:59,240 --> 01:37:02,720 Speaker 1: give you one. Per twenty early discussing example, they highlighted 1976 01:37:03,240 --> 01:37:05,880 Speaker 1: this young girl who they called Lilliana, who they said 1977 01:37:05,880 --> 01:37:08,479 Speaker 1: was trafficked across the border at age eleven. They said 1978 01:37:08,520 --> 01:37:11,680 Speaker 1: that they freed her from her hell of being trafficked 1979 01:37:11,680 --> 01:37:16,879 Speaker 1: and raped thirty to forty times a day. Lilliana freed herself. 1980 01:37:17,960 --> 01:37:20,479 Speaker 1: This organization had nothing to do with her, didn't even 1981 01:37:20,560 --> 01:37:23,840 Speaker 1: know her until two years or something after she was 1982 01:37:23,880 --> 01:37:27,760 Speaker 1: able to free herself from her own hell, and some 1983 01:37:27,800 --> 01:37:30,360 Speaker 1: of the key details, even her age, and the circumstances 1984 01:37:30,400 --> 01:37:32,120 Speaker 1: under which she was trafficked she came across the border 1985 01:37:32,120 --> 01:37:36,080 Speaker 1: with a romantic partner, for example, were completely you know, invented, 1986 01:37:36,479 --> 01:37:39,400 Speaker 1: and that's not the only circumstance. Journalists went along with 1987 01:37:39,479 --> 01:37:41,720 Speaker 1: them on one of their raids, and I think it 1988 01:37:41,800 --> 01:37:46,120 Speaker 1: was in Haiti, and found that actually some of the 1989 01:37:46,680 --> 01:37:49,599 Speaker 1: kids that they were trying to save from from their 1990 01:37:49,640 --> 01:37:51,880 Speaker 1: own hell, they were being traffic for the first time 1991 01:37:51,960 --> 01:37:55,800 Speaker 1: that time because they had actually inadvertently created demand for. 1992 01:37:55,800 --> 01:38:00,360 Speaker 4: Sex trafficking through their tactics. Other people who work. 1993 01:38:00,200 --> 01:38:02,320 Speaker 1: In the space say that they go about this in 1994 01:38:02,320 --> 01:38:04,559 Speaker 1: like a horrible way. They don't keep track of the 1995 01:38:04,720 --> 01:38:07,320 Speaker 1: women and girls that they work with. After the fact, 1996 01:38:07,840 --> 01:38:10,360 Speaker 1: they were under investigation by the State of Utah for 1997 01:38:10,520 --> 01:38:13,839 Speaker 1: lying to donors and potentially abusing some of these trafficking 1998 01:38:13,880 --> 01:38:16,719 Speaker 1: victims themselves. That investigation, I will say, has been dropped. 1999 01:38:17,080 --> 01:38:20,760 Speaker 1: But just let's be clear the dude that this is 2000 01:38:20,760 --> 01:38:23,479 Speaker 1: based on, there are a lot of questions about who 2001 01:38:23,479 --> 01:38:26,439 Speaker 1: this guy is, what he actually did, and he also has, 2002 01:38:26,720 --> 01:38:29,400 Speaker 1: like it's public that he has this plan to use 2003 01:38:29,520 --> 01:38:33,640 Speaker 1: his prominence in the sex trafficking world to bolster his 2004 01:38:33,720 --> 01:38:37,120 Speaker 1: own profile and potentially run for political office. 2005 01:38:37,640 --> 01:38:39,679 Speaker 4: So anyway, that's what I'll say. 2006 01:38:39,680 --> 01:38:41,640 Speaker 2: I think everything you just said is completely fine. I 2007 01:38:41,960 --> 01:38:43,360 Speaker 2: just don't think it has any to do with the movie. 2008 01:38:43,439 --> 01:38:45,000 Speaker 2: And so it was like the movie I guess is 2009 01:38:45,040 --> 01:38:46,840 Speaker 2: based on him, But you know what I mean. 2010 01:38:46,720 --> 01:38:48,920 Speaker 1: I haven't seen the movie, so I can't say, and 2011 01:38:48,960 --> 01:38:50,479 Speaker 1: you haven't watched it either, So I don't know how 2012 01:38:50,479 --> 01:38:51,480 Speaker 1: you can say that definitively. 2013 01:38:51,560 --> 01:38:55,280 Speaker 3: Well, I mean, it's based on his life. But the point, well, yeah, 2014 01:38:55,320 --> 01:38:55,800 Speaker 3: I guess it is. 2015 01:38:57,280 --> 01:38:58,760 Speaker 2: I need to look at the end of the Day 2016 01:38:58,840 --> 01:39:01,519 Speaker 2: is a dramatization quote unquote like based on a true story. 2017 01:39:01,560 --> 01:39:03,040 Speaker 2: So I think all that is true. I think all 2018 01:39:03,080 --> 01:39:06,080 Speaker 2: that criticism should remain there. But I'm saying that what 2019 01:39:06,200 --> 01:39:08,560 Speaker 2: effectively is being said is that the movie itself is 2020 01:39:08,640 --> 01:39:13,120 Speaker 2: QAnon based. Now, the star Jim what's his name, kevkas whatever, 2021 01:39:13,160 --> 01:39:14,280 Speaker 2: I can't pronounce it properly. 2022 01:39:14,760 --> 01:39:16,960 Speaker 3: Yeah, he definitely said some crazy stuff. 2023 01:39:17,000 --> 01:39:18,200 Speaker 4: He's spoken a q Andon. 2024 01:39:20,120 --> 01:39:22,360 Speaker 3: Yeah, all of that one hundred percent true. 2025 01:39:22,840 --> 01:39:25,720 Speaker 2: However, you know, once again, like in the movie, like, 2026 01:39:26,000 --> 01:39:28,439 Speaker 2: that's not actually what's being done. So I think we 2027 01:39:28,439 --> 01:39:30,880 Speaker 2: should look at these things on their merits. The fact 2028 01:39:30,880 --> 01:39:33,519 Speaker 2: that the movie is doing well doesn't appear to really. 2029 01:39:33,560 --> 01:39:35,280 Speaker 2: I mean, at the end of the day, how many 2030 01:39:35,280 --> 01:39:37,559 Speaker 2: times do we talk about q Andon and the tiny 2031 01:39:37,600 --> 01:39:40,080 Speaker 2: slice of the US population. Millions of people have gone 2032 01:39:40,080 --> 01:39:42,320 Speaker 2: and seen already, people were going to go see this 2033 01:39:42,320 --> 01:39:43,559 Speaker 2: film had nothing to do with QAnon. 2034 01:39:43,600 --> 01:39:44,519 Speaker 3: Well, here you just heard about that. 2035 01:39:44,600 --> 01:39:46,839 Speaker 1: Here's the other thing that bothers me about the promotion 2036 01:39:47,200 --> 01:39:51,000 Speaker 1: of the film, which is that they've been pitching audience 2037 01:39:51,040 --> 01:39:54,880 Speaker 1: members on buy tickets by tickets, buy them ahead of time, 2038 01:39:55,400 --> 01:39:57,640 Speaker 1: and trying to persuade them that they're going to be 2039 01:39:57,840 --> 01:40:00,639 Speaker 1: part of this fight, and that they're doing doing something 2040 01:40:00,840 --> 01:40:04,000 Speaker 1: like noble by buying these tickets, and that they're really gonna, 2041 01:40:04,040 --> 01:40:07,240 Speaker 1: you know, aid in what is a genuine, legitimate, horrific 2042 01:40:07,320 --> 01:40:10,519 Speaker 1: problem here and around the world. And you know, I 2043 01:40:10,560 --> 01:40:14,200 Speaker 1: think that that is incredibly emotionally manipulative and misleading as well. 2044 01:40:14,320 --> 01:40:16,360 Speaker 3: Well, here's the other ass and that's a great follow 2045 01:40:16,439 --> 01:40:16,800 Speaker 3: up piece. 2046 01:40:16,920 --> 01:40:19,800 Speaker 2: Did you actually use this money to do anything about 2047 01:40:19,800 --> 01:40:22,280 Speaker 2: this problem or are you doing it for so you 2048 01:40:22,320 --> 01:40:22,559 Speaker 2: want to. 2049 01:40:22,520 --> 01:40:24,600 Speaker 1: Get straight answers from them because they've been caught in 2050 01:40:24,640 --> 01:40:25,280 Speaker 1: any number of a lot. 2051 01:40:25,320 --> 01:40:27,559 Speaker 3: I think that's a one hundred percent, you know, fair question. 2052 01:40:27,600 --> 01:40:29,040 Speaker 2: I think all the points that you just brought up 2053 01:40:29,040 --> 01:40:30,800 Speaker 2: are exactly the things they should talk about, and yet 2054 01:40:30,840 --> 01:40:31,960 Speaker 2: what are we talking about instead? 2055 01:40:32,120 --> 01:40:33,840 Speaker 3: They're like anybody even goes see the. 2056 01:40:33,800 --> 01:40:36,479 Speaker 2: Movies, some like QAnon nut Job, and I'm like, these 2057 01:40:36,520 --> 01:40:39,320 Speaker 2: are all far more legitimate I think lines of inquiry 2058 01:40:39,439 --> 01:40:42,040 Speaker 2: whenever it comes to it. So anyway, I thought it 2059 01:40:42,080 --> 01:40:44,439 Speaker 2: was interesting in terms of the discourse hall here and 2060 01:40:44,439 --> 01:40:47,040 Speaker 2: actually our discussion was far better I think than most 2061 01:40:47,080 --> 01:40:47,400 Speaker 2: of what. 2062 01:40:47,560 --> 01:40:48,400 Speaker 3: We're seeing in Guard. 2063 01:40:48,479 --> 01:40:50,320 Speaker 2: But yeah, I guess that's uh that's kind of har 2064 01:40:50,439 --> 01:40:52,840 Speaker 2: we of course, right, that's We've got a great guest 2065 01:40:52,880 --> 01:40:54,280 Speaker 2: standing by Sean O'Brien. 2066 01:40:54,479 --> 01:40:55,200 Speaker 3: Let's get to it. 2067 01:40:58,000 --> 01:40:59,760 Speaker 1: So, as you guys know, because we've been covering it 2068 01:40:59,760 --> 01:41:03,280 Speaker 1: on the show, there is a potential massive strike looming 2069 01:41:03,320 --> 01:41:04,920 Speaker 1: at the end of this month. That's gone and put 2070 01:41:04,920 --> 01:41:07,040 Speaker 1: this up on the screen. This would involve three hundred 2071 01:41:07,080 --> 01:41:11,000 Speaker 1: and forty thousand UPS workers who are organized under the 2072 01:41:11,040 --> 01:41:13,840 Speaker 1: International Brotherhood of Teamsters. This was the very last update 2073 01:41:13,840 --> 01:41:18,559 Speaker 1: that we got after marathon sessions. UPS negotiations collapse around 2074 01:41:18,600 --> 01:41:21,000 Speaker 1: four am. UPS walked away from the bargaining table after 2075 01:41:21,040 --> 01:41:24,400 Speaker 1: presenting an unacceptable offer to the Teamsters that did not 2076 01:41:24,560 --> 01:41:28,200 Speaker 1: address members' needs. We are very excited to be joined 2077 01:41:28,200 --> 01:41:32,160 Speaker 1: in studio by the international President of the Teamsters Union, 2078 01:41:32,240 --> 01:41:33,000 Speaker 1: Sean O'Brien. 2079 01:41:33,040 --> 01:41:34,360 Speaker 3: Welcome, Sar, Thank you very much. 2080 01:41:34,400 --> 01:41:35,080 Speaker 7: I appreciate it. 2081 01:41:35,720 --> 01:41:39,120 Speaker 1: So just give us an update here. Why did negotiations collapse? 2082 01:41:39,120 --> 01:41:41,800 Speaker 1: What are some of the key sticking points at this point. 2083 01:41:41,880 --> 01:41:44,719 Speaker 13: Yeah, so we've been negotiating since January. We have forty 2084 01:41:44,720 --> 01:41:48,479 Speaker 13: four supplements that are area conditions for the master agreement, 2085 01:41:48,880 --> 01:41:51,679 Speaker 13: and we've got all those done and then we started 2086 01:41:51,720 --> 01:41:55,240 Speaker 13: negotiating the National Master Agreement towards the end of April, 2087 01:41:55,560 --> 01:41:57,759 Speaker 13: made a lot of progress, made a lot of changes 2088 01:41:57,960 --> 01:42:01,120 Speaker 13: favorable for our members, and things were going well. And 2089 01:42:01,120 --> 01:42:04,120 Speaker 13: then once we got into economics, that's when it started 2090 01:42:04,120 --> 01:42:06,720 Speaker 13: to fall apart. And you know, we're not that far 2091 01:42:06,840 --> 01:42:09,400 Speaker 13: apart as far as getting the deal done. Ninety five 2092 01:42:09,439 --> 01:42:13,120 Speaker 13: percent of the contract has been negotiated. But when it 2093 01:42:13,160 --> 01:42:17,760 Speaker 13: came down to talking about wage increases, rewarding people with longevity, 2094 01:42:18,360 --> 01:42:22,719 Speaker 13: just rewarding our teams to members, UPS took a position 2095 01:42:22,720 --> 01:42:24,800 Speaker 13: at one point that they had no more towards the 2096 01:42:24,880 --> 01:42:27,720 Speaker 13: end of it, we have no more to give, and 2097 01:42:28,080 --> 01:42:30,400 Speaker 13: I'm like, what does that mean? And so we just 2098 01:42:30,439 --> 01:42:32,000 Speaker 13: have no more to give? I said, so there's no 2099 01:42:32,040 --> 01:42:35,880 Speaker 13: sense in moving forward then, right, and they left. But 2100 01:42:36,000 --> 01:42:38,559 Speaker 13: you know, the sad part about it is that, you know, 2101 01:42:38,600 --> 01:42:42,920 Speaker 13: our members, they worked through the pandemic. They provided goods 2102 01:42:42,920 --> 01:42:46,960 Speaker 13: and services to this country with total disregard for their 2103 01:42:46,960 --> 01:42:50,360 Speaker 13: safety and the safety of their families. We actually transported 2104 01:42:50,360 --> 01:42:53,599 Speaker 13: our members, transported vaccines when they weren't even eligible form, 2105 01:42:54,000 --> 01:42:55,439 Speaker 13: making sure other people had them. 2106 01:42:55,840 --> 01:42:57,080 Speaker 7: And you know, the bottom line of. 2107 01:42:57,040 --> 01:43:00,479 Speaker 13: The UPS's balance sheet, they made one hundred billion doll is. 2108 01:43:01,200 --> 01:43:04,280 Speaker 13: Everybody got paid through COVID except for our members. When 2109 01:43:04,280 --> 01:43:08,280 Speaker 13: you think about it, the shareholders got paid, the executives 2110 01:43:08,280 --> 01:43:10,840 Speaker 13: got paid, the CEO got paid and rewarded, and they 2111 01:43:10,880 --> 01:43:13,880 Speaker 13: never touched and forwarded a package. So, you know, it's 2112 01:43:13,920 --> 01:43:17,439 Speaker 13: a little bit frustrating, especially you know, the earnings that 2113 01:43:17,520 --> 01:43:19,519 Speaker 13: UPS has been making as a result of. 2114 01:43:19,479 --> 01:43:21,639 Speaker 7: The hot work of our three hundred and forty thousand teams. 2115 01:43:22,200 --> 01:43:26,280 Speaker 13: And it's frightening when you see, you know, our part timers. 2116 01:43:26,280 --> 01:43:29,880 Speaker 13: It's actually embarrassing for UPS when part timers are making, 2117 01:43:30,160 --> 01:43:31,760 Speaker 13: you know, living in poverty in some of the big 2118 01:43:31,800 --> 01:43:34,960 Speaker 13: cities that are on subsidized housing. So it's time for 2119 01:43:35,040 --> 01:43:37,280 Speaker 13: UPS to do the right thing and reward these these folks. 2120 01:43:37,560 --> 01:43:38,439 Speaker 3: I mean, there's no argument. 2121 01:43:38,479 --> 01:43:40,439 Speaker 2: Here. Reminds us a lot of the railway situation and 2122 01:43:40,479 --> 01:43:42,599 Speaker 2: the people who literally make a country run and are 2123 01:43:42,960 --> 01:43:45,920 Speaker 2: the people not getting paid well the big executives are. 2124 01:43:46,000 --> 01:43:48,559 Speaker 2: So let's talk actually, I think about that because you know, 2125 01:43:48,640 --> 01:43:50,800 Speaker 2: we're talking here about the economic conditions and more like, 2126 01:43:50,800 --> 01:43:52,600 Speaker 2: give people a sense of what you're asking for a 2127 01:43:52,720 --> 01:43:55,040 Speaker 2: very basic fairness in terms of compensation. 2128 01:43:55,200 --> 01:43:59,519 Speaker 13: Look, I mean, UPS has you know, had double digit earnings. 2129 01:43:59,640 --> 01:44:02,679 Speaker 13: You know, they double their profits, double their volume. And 2130 01:44:02,960 --> 01:44:05,120 Speaker 13: you know, the reality is our members want to be rewarded, 2131 01:44:05,479 --> 01:44:07,880 Speaker 13: and you know, the UPS is going around telling people, well, 2132 01:44:08,280 --> 01:44:10,559 Speaker 13: the full time is make ninety three thousand dollars per 2133 01:44:10,680 --> 01:44:13,840 Speaker 13: year with fifty thousand dollars benefits. And that may be true, 2134 01:44:13,840 --> 01:44:16,240 Speaker 13: but not ninety three thousand dollars a year is not 2135 01:44:16,320 --> 01:44:20,080 Speaker 13: an easy task. They're working sixty sixty five hours per week. 2136 01:44:20,120 --> 01:44:23,120 Speaker 13: It's a very demanding job. And our full time is, 2137 01:44:23,120 --> 01:44:26,640 Speaker 13: regardless what they make, need to be paid more. UPS 2138 01:44:26,720 --> 01:44:29,559 Speaker 13: has set the industry standards, but that's only because the 2139 01:44:29,600 --> 01:44:32,519 Speaker 13: teamsit's union is a conscience. We've fought long and hard 2140 01:44:32,520 --> 01:44:36,040 Speaker 13: for decades to get the conditions and benefits. UPS is 2141 01:44:36,080 --> 01:44:38,000 Speaker 13: not giving them to our members out of the kindness 2142 01:44:38,000 --> 01:44:40,160 Speaker 13: of our heart. And the part timers, I mean, everybody 2143 01:44:40,160 --> 01:44:43,519 Speaker 13: sees their UPS driver in their neighborhoods, but they don't 2144 01:44:43,600 --> 01:44:47,360 Speaker 13: understand that without the part timers, who some are working 2145 01:44:47,400 --> 01:44:48,000 Speaker 13: two or three. 2146 01:44:47,920 --> 01:44:49,360 Speaker 7: Jobs and make ends meet. 2147 01:44:50,520 --> 01:44:54,080 Speaker 13: Without the part timers, those packages don't get loaded or 2148 01:44:54,120 --> 01:44:57,400 Speaker 13: unloaded on those trucks. So there they're the unsung heroes 2149 01:44:57,479 --> 01:45:01,720 Speaker 13: of the of this bad of this fight, and they 2150 01:45:01,760 --> 01:45:04,120 Speaker 13: need to be rewarded. And look, this is something that 2151 01:45:04,200 --> 01:45:07,200 Speaker 13: UPS has the opportunity to do, to be the model 2152 01:45:07,200 --> 01:45:11,080 Speaker 13: employer throughout the United States, to show and demonstrate this 2153 01:45:11,120 --> 01:45:13,080 Speaker 13: is how you treat and reward people that make you 2154 01:45:13,120 --> 01:45:14,160 Speaker 13: the success that you are. 2155 01:45:14,600 --> 01:45:15,719 Speaker 4: And this is no small issue. 2156 01:45:15,760 --> 01:45:17,720 Speaker 1: What percentage of the three hundred and forty thousand are 2157 01:45:17,720 --> 01:45:20,200 Speaker 1: actually part timers, because I know it's a signals Well. 2158 01:45:19,840 --> 01:45:22,880 Speaker 13: It's over fifty percent, probably fifty fifty three percent, and 2159 01:45:22,880 --> 01:45:25,800 Speaker 13: one hundred thousand of those UPS part timers are making 2160 01:45:25,880 --> 01:45:29,680 Speaker 13: less than twenty dollars per hour. Wow, in UPS, UPS, 2161 01:45:29,720 --> 01:45:32,880 Speaker 13: you know hasn't been consistent either with all their you know, 2162 01:45:32,920 --> 01:45:36,360 Speaker 13: tweets and all their little press releases. One time, one 2163 01:45:36,400 --> 01:45:38,439 Speaker 13: minute they're saying they make over twenty dollars an hour, 2164 01:45:38,760 --> 01:45:40,599 Speaker 13: and then next minute they're saying they make five dollars 2165 01:45:40,720 --> 01:45:43,000 Speaker 13: less than thirty nine dollars an hour. So the one 2166 01:45:43,040 --> 01:45:47,360 Speaker 13: thing we've been consistent and on messaging and you know UPS, Look, 2167 01:45:47,400 --> 01:45:48,479 Speaker 13: if they want to get a deal, all they have 2168 01:45:48,560 --> 01:45:49,639 Speaker 13: to do is pick up the phone. 2169 01:45:49,760 --> 01:45:52,760 Speaker 1: Can you talk a little bit about the context of 2170 01:45:52,800 --> 01:45:56,479 Speaker 1: how we got here. You were recently elected key part 2171 01:45:56,479 --> 01:45:58,800 Speaker 1: of your campaign seem to be, you know, promising you 2172 01:45:58,800 --> 01:46:02,120 Speaker 1: would take a more aggressive stand on these contract negotiations. 2173 01:46:02,400 --> 01:46:06,400 Speaker 1: I know members voted overwhelmingly to authorize a potential strike. 2174 01:46:06,479 --> 01:46:08,640 Speaker 1: So can you talk about, you know, some of the 2175 01:46:08,680 --> 01:46:11,360 Speaker 1: concessions that were made in previous contracts that led you 2176 01:46:11,400 --> 01:46:14,000 Speaker 1: to this place of being willing to walk away and 2177 01:46:14,080 --> 01:46:16,080 Speaker 1: really pushing hard for what your members deserve. 2178 01:46:16,160 --> 01:46:18,640 Speaker 13: Well, the one thing that we have done as administration 2179 01:46:18,840 --> 01:46:21,439 Speaker 13: is we've listened to the people that are responsible for 2180 01:46:21,520 --> 01:46:23,439 Speaker 13: us to be here. That's how rank and file members. 2181 01:46:23,800 --> 01:46:26,360 Speaker 13: Those are the people that you know we work for. 2182 01:46:26,840 --> 01:46:29,240 Speaker 13: They don't work for us. So that's been a different 2183 01:46:29,240 --> 01:46:32,160 Speaker 13: approach that we've taken as a new administration. And the 2184 01:46:32,240 --> 01:46:36,880 Speaker 13: last two contracts have been concessionary. Ups have gotten tremendous flexibility. 2185 01:46:37,160 --> 01:46:39,519 Speaker 13: They had a two taer wage system. There was a 2186 01:46:39,560 --> 01:46:41,599 Speaker 13: lot of stuff that you know, we needed to change 2187 01:46:41,640 --> 01:46:43,880 Speaker 13: and our members weren't happy. So we've been focusing on 2188 01:46:43,960 --> 01:46:47,320 Speaker 13: not just the ups with every contract negotiations. You know, 2189 01:46:47,360 --> 01:46:50,880 Speaker 13: we're not working beyond expiration dates of contracts. We're out there. 2190 01:46:51,000 --> 01:46:51,719 Speaker 7: And the good thing. 2191 01:46:51,640 --> 01:46:54,439 Speaker 13: Right now is because of when we ran the changes 2192 01:46:54,479 --> 01:46:57,200 Speaker 13: we made in our Constitution. Now it's mandated that rank 2193 01:46:57,200 --> 01:47:00,320 Speaker 13: and file members are on the negotiating committees all these 2194 01:47:00,360 --> 01:47:04,200 Speaker 13: national agreements, where they are our best testimonials at the table. 2195 01:47:04,400 --> 01:47:06,719 Speaker 13: You know, it's great when an employer can tell a story. 2196 01:47:06,960 --> 01:47:11,440 Speaker 13: And I always say employers' stories are compelling but highly inaccurate. 2197 01:47:11,840 --> 01:47:14,799 Speaker 13: But there's nothing better when you have someone that's working 2198 01:47:14,960 --> 01:47:18,200 Speaker 13: in that industry that knows the trials and tribulations every 2199 01:47:18,280 --> 01:47:22,240 Speaker 13: day and can actually give true testimonials. That is amazing 2200 01:47:22,240 --> 01:47:24,960 Speaker 13: and it's helped us tremendously in all these negotiations. 2201 01:47:25,120 --> 01:47:27,439 Speaker 2: Can you talk about morale within the rank and file, 2202 01:47:27,600 --> 01:47:30,320 Speaker 2: their willingness to stand up for a fair contract here, 2203 01:47:30,360 --> 01:47:32,160 Speaker 2: because there's a lot of talk right now, but the 2204 01:47:32,200 --> 01:47:36,800 Speaker 2: great resignation is over about some kind of diminishing willingness 2205 01:47:36,840 --> 01:47:39,479 Speaker 2: amongst labor to not only just strike, but just kind 2206 01:47:39,479 --> 01:47:41,160 Speaker 2: of stand up and try to get what's theirs. 2207 01:47:41,200 --> 01:47:42,120 Speaker 3: What's the attitude right now? 2208 01:47:42,200 --> 01:47:46,000 Speaker 13: But the attitude is our members are fired up. You know, 2209 01:47:46,080 --> 01:47:49,479 Speaker 13: they know what they did for this company, what they 2210 01:47:49,479 --> 01:47:52,680 Speaker 13: did for the country during the pandemic, and you know 2211 01:47:52,720 --> 01:47:55,040 Speaker 13: they want to fight. They want they want to fight. 2212 01:47:55,120 --> 01:47:57,559 Speaker 13: And look, at the end of the day, I don't 2213 01:47:57,560 --> 01:48:01,120 Speaker 13: think anybody wants to strike. But I keep telling people, 2214 01:48:01,160 --> 01:48:03,559 Speaker 13: and this is the truth, that if there is a strike, 2215 01:48:03,720 --> 01:48:06,000 Speaker 13: it's because UPS caused a strike. This is going to 2216 01:48:06,000 --> 01:48:08,400 Speaker 13: be a self inflicted wound. They know what they need 2217 01:48:08,439 --> 01:48:09,960 Speaker 13: to do for our members, they know what they do 2218 01:48:10,080 --> 01:48:12,280 Speaker 13: need to do for their employees, and it's time they 2219 01:48:12,320 --> 01:48:12,559 Speaker 13: do it. 2220 01:48:13,160 --> 01:48:15,200 Speaker 1: What happens next in the negotiations or what do you 2221 01:48:15,200 --> 01:48:16,760 Speaker 1: think are the odds that you get to a deal 2222 01:48:16,960 --> 01:48:18,200 Speaker 1: or that you go out on strike. 2223 01:48:18,280 --> 01:48:20,479 Speaker 7: That's strictly up to UPS. I mean, we're willing to 2224 01:48:20,479 --> 01:48:21,719 Speaker 7: sit down, We're willing to talk. 2225 01:48:22,000 --> 01:48:25,719 Speaker 13: And it's you know, like I said, when ninety done 2226 01:48:25,720 --> 01:48:28,479 Speaker 13: in the contract, all the supplements are done. Now it's 2227 01:48:28,600 --> 01:48:31,960 Speaker 13: just just about the money, the economics. And the problem is, 2228 01:48:32,000 --> 01:48:33,519 Speaker 13: and I don't mean to tell you off, the problem 2229 01:48:33,560 --> 01:48:36,559 Speaker 13: is is that UPS is so focused on Wall Street. 2230 01:48:37,000 --> 01:48:38,360 Speaker 7: They're forgetting about Main Street. 2231 01:48:38,560 --> 01:48:40,960 Speaker 13: Main Street are the people that we represent, the people 2232 01:48:41,000 --> 01:48:43,160 Speaker 13: we have the privilege to work for every single day, 2233 01:48:43,560 --> 01:48:46,040 Speaker 13: and they need to reward main Street. Everybody else is 2234 01:48:46,040 --> 01:48:48,679 Speaker 13: getting paid that hasn't even touched a package or forwarded 2235 01:48:48,720 --> 01:48:49,160 Speaker 13: a package. 2236 01:48:49,280 --> 01:48:52,200 Speaker 1: Yeah, how does this impact broader labor movement? And just 2237 01:48:52,240 --> 01:48:52,960 Speaker 1: workers in general. 2238 01:48:53,120 --> 01:48:55,759 Speaker 13: I think what it's going to do, and I'm excited 2239 01:48:55,800 --> 01:48:57,840 Speaker 13: about it. I think we are going to be the 2240 01:49:00,040 --> 01:49:03,080 Speaker 13: template on how to fight big business, how to take 2241 01:49:03,080 --> 01:49:06,599 Speaker 13: them on, and how to win. And I think this 2242 01:49:06,640 --> 01:49:10,000 Speaker 13: is going to invigorate the labor movement even more so. 2243 01:49:10,280 --> 01:49:12,360 Speaker 13: I mean, you see these young workers at Starbucks. You 2244 01:49:12,360 --> 01:49:16,080 Speaker 13: see these young workers all over the country looking to organize, 2245 01:49:16,080 --> 01:49:19,120 Speaker 13: and that's that's refreshing to someone like me and the 2246 01:49:19,160 --> 01:49:22,639 Speaker 13: teams dis Union, because look, I'm a fourth generation teamster 2247 01:49:23,080 --> 01:49:26,080 Speaker 13: and there's nothing better than young people being involved and 2248 01:49:27,200 --> 01:49:28,759 Speaker 13: people want to take on the boss. 2249 01:49:28,800 --> 01:49:31,640 Speaker 1: Now, yeah, tell us about Amazon. Put this up on 2250 01:49:31,680 --> 01:49:32,120 Speaker 1: the screen. 2251 01:49:32,360 --> 01:49:32,639 Speaker 4: Guys. 2252 01:49:32,680 --> 01:49:34,559 Speaker 1: There were some experts who are saying this is kind 2253 01:49:34,560 --> 01:49:37,519 Speaker 1: of a prelude to future Amazon fights. I know you 2254 01:49:37,560 --> 01:49:40,800 Speaker 1: all have been doing some organizing at Amazon locations around 2255 01:49:40,800 --> 01:49:44,840 Speaker 1: the country. It would be huge. Obviously, Amazon huge workforce. 2256 01:49:45,479 --> 01:49:50,919 Speaker 1: They've really degraded work and pay conditions among warehouse workers 2257 01:49:50,960 --> 01:49:51,640 Speaker 1: in particular. 2258 01:49:52,240 --> 01:49:53,160 Speaker 4: What are your plans there? 2259 01:49:53,240 --> 01:49:55,000 Speaker 13: Oh, we have to organize Amazon. There's going to be 2260 01:49:55,040 --> 01:49:57,680 Speaker 13: no question about it. And that's why you know, ups 2261 01:49:59,080 --> 01:50:03,240 Speaker 13: in collaboration with negotiations with teamsters over the years, we 2262 01:50:03,360 --> 01:50:05,840 Speaker 13: have collectively set the standard as high as we can, 2263 01:50:05,880 --> 01:50:08,200 Speaker 13: and we want to maintain that standard as far as 2264 01:50:08,280 --> 01:50:11,600 Speaker 13: when you're working in this business loading trucks delivering packages. 2265 01:50:11,880 --> 01:50:13,639 Speaker 13: We've set that standard and we're going to make sure 2266 01:50:13,680 --> 01:50:16,600 Speaker 13: that we continue to set the highest standard. But we 2267 01:50:16,680 --> 01:50:19,360 Speaker 13: need to take this contract as a template and bring 2268 01:50:19,360 --> 01:50:22,320 Speaker 13: it to these Amazon workers who there's no doubt they 2269 01:50:22,320 --> 01:50:25,680 Speaker 13: have one hundred and ten percent turnover ratio. There's no 2270 01:50:26,040 --> 01:50:29,479 Speaker 13: pathway to a full time career. We need to take 2271 01:50:29,479 --> 01:50:32,040 Speaker 13: this contract and say this is what you get when 2272 01:50:32,040 --> 01:50:33,720 Speaker 13: you become a team st to member. You're going to 2273 01:50:33,800 --> 01:50:35,920 Speaker 13: get health and welfare, you're going to get PENSI, and 2274 01:50:35,960 --> 01:50:38,400 Speaker 13: you're going to get job opportunities. But more importantly, you're 2275 01:50:38,400 --> 01:50:40,240 Speaker 13: going to get dignity and respect in your workplace. 2276 01:50:40,760 --> 01:50:42,000 Speaker 3: I think that's the most important thing. 2277 01:50:42,080 --> 01:50:44,880 Speaker 1: And finally, last question for you. You know, we've been tracking 2278 01:50:44,920 --> 01:50:48,479 Speaker 1: the fact that public sentiment is at all time highs 2279 01:50:48,520 --> 01:50:51,599 Speaker 1: practically in terms of support for labor unions. You have, 2280 01:50:52,000 --> 01:50:53,840 Speaker 1: you know, not just Democrats now, but a lot of 2281 01:50:53,840 --> 01:50:56,880 Speaker 1: Republicans coming back around. I'm talking about rank and file Republicans, 2282 01:50:56,880 --> 01:50:58,720 Speaker 1: not necessarily the ones in Washington. 2283 01:50:58,400 --> 01:50:58,600 Speaker 2: D C. 2284 01:50:59,080 --> 01:51:03,519 Speaker 1: But of organizing in favor of labor unions because they 2285 01:51:03,520 --> 01:51:07,000 Speaker 1: see the way that worker power has been diminished over decades. 2286 01:51:07,800 --> 01:51:12,160 Speaker 1: At the same time, private sector union density continues to decline. 2287 01:51:12,600 --> 01:51:14,760 Speaker 1: So what are the sorts of things that need to 2288 01:51:14,760 --> 01:51:18,000 Speaker 1: be done at the federal policy level in order to 2289 01:51:18,160 --> 01:51:21,519 Speaker 1: enable the you know, burgeoning grassroots labor movement that we've 2290 01:51:21,520 --> 01:51:22,759 Speaker 1: been tracking here across the country. 2291 01:51:22,800 --> 01:51:25,680 Speaker 13: Well, I think I think the government needs to not 2292 01:51:25,800 --> 01:51:29,360 Speaker 13: reward bad employers like Amazon has a ten billion dollar 2293 01:51:29,439 --> 01:51:33,519 Speaker 13: contract for the cloud. You know, if they're not treating workers, 2294 01:51:33,520 --> 01:51:36,960 Speaker 13: they have the highest violations in OSHA. We shouldn't be 2295 01:51:37,000 --> 01:51:39,800 Speaker 13: the government shouldn't be rewarding bad employers. But we also 2296 01:51:39,800 --> 01:51:42,719 Speaker 13: should be looking at how we can make it easier 2297 01:51:42,760 --> 01:51:45,280 Speaker 13: for people to organize. You know that you talked about 2298 01:51:45,280 --> 01:51:48,320 Speaker 13: the Proact, and you've talked about we talk about that 2299 01:51:48,400 --> 01:51:48,920 Speaker 13: all the time. 2300 01:51:48,960 --> 01:51:51,360 Speaker 1: But are you disappointed the president sort of drop that 2301 01:51:51,560 --> 01:51:53,439 Speaker 1: talked about at the beginning and I haven't heard about 2302 01:51:53,439 --> 01:51:54,960 Speaker 1: it in a long time and you's still give an 2303 01:51:54,960 --> 01:51:55,839 Speaker 1: Amazon contract. 2304 01:51:55,920 --> 01:51:59,360 Speaker 13: Yeah, Well, the the president has done a law for labor, 2305 01:52:00,680 --> 01:52:03,360 Speaker 13: and sometimes we focus on what have you done for me? 2306 01:52:03,439 --> 01:52:05,080 Speaker 7: Now? I mean, look at the end of the day. 2307 01:52:06,000 --> 01:52:09,080 Speaker 13: We need to find a path to let people organize 2308 01:52:09,400 --> 01:52:13,599 Speaker 13: easier without retaliation or retribution. Union busting is a five 2309 01:52:13,680 --> 01:52:18,120 Speaker 13: hundred billion dollars per year industry, and the government needs 2310 01:52:18,120 --> 01:52:18,880 Speaker 13: a crackdown on that. 2311 01:52:19,320 --> 01:52:20,479 Speaker 7: I mean, that's the bottom line. 2312 01:52:20,600 --> 01:52:24,280 Speaker 13: People nowadays should be able to join a union free 2313 01:52:24,320 --> 01:52:28,439 Speaker 13: of any threats retaliation. But the American people should be 2314 01:52:28,600 --> 01:52:32,200 Speaker 13: entitled to a middle class wage and living and that's 2315 01:52:32,240 --> 01:52:34,320 Speaker 13: not happening right now, but hopefully we can change that. 2316 01:52:34,760 --> 01:52:38,280 Speaker 1: Well, very grateful for your time, good luck and the negotiations. 2317 01:52:38,320 --> 01:52:39,680 Speaker 4: We'll be watching closely. I hope you'll come. 2318 01:52:39,600 --> 01:52:41,559 Speaker 3: Back and keep thee definitely well. Thank you very much, 2319 01:52:41,840 --> 01:52:44,200 Speaker 3: research I appreciate it. We'll see you guys later.