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 --> 00:00:04,920 Speaker 1: and we here at. 3 00:00:04,880 --> 00:00:07,160 Speaker 2: Breaking points, are already thinking of ways we can up 4 00:00:07,160 --> 00:00:08,600 Speaker 2: our game for this critical election. 5 00:00:08,800 --> 00:00:11,760 Speaker 1: We rely on our premium subs to expand coverage, upgrade 6 00:00:11,760 --> 00:00:15,960 Speaker 1: the studio ad staff, give you, guys, the best independent coverage. 7 00:00:15,600 --> 00:00:16,280 Speaker 3: That is possible. 8 00:00:16,280 --> 00:00:18,319 Speaker 1: If you like what we're all about, it just means 9 00:00:18,360 --> 00:00:20,840 Speaker 1: the absolute world to have your support. But enough with that, 10 00:00:21,040 --> 00:00:27,240 Speaker 1: let's get to the show. Good morning, everybody, Happy Tuesday. 11 00:00:27,280 --> 00:00:29,840 Speaker 1: We have an amazing show for everybody's day, extra amazing 12 00:00:29,880 --> 00:00:33,080 Speaker 1: because Ryan is here. Bro show people live for the pound. 13 00:00:33,520 --> 00:00:35,760 Speaker 1: That's what it's all about. Let's go ahead and see 14 00:00:35,760 --> 00:00:38,040 Speaker 1: what we've got on deck. We're going to start with 15 00:00:38,159 --> 00:00:41,400 Speaker 1: Hurricane Milton and all of the updates around that. 16 00:00:41,640 --> 00:00:43,120 Speaker 4: I actually looked at the data. 17 00:00:43,159 --> 00:00:45,199 Speaker 1: Florida is one of the largest states in terms of 18 00:00:45,240 --> 00:00:47,960 Speaker 1: audience for our show, So for all of them down there, 19 00:00:48,000 --> 00:00:49,599 Speaker 1: we are thinking about you, and we're going to try 20 00:00:49,600 --> 00:00:53,120 Speaker 1: and update you and the entire country about this imminence potential. 21 00:00:53,240 --> 00:00:56,000 Speaker 2: Theast huge portion of our audience maybe in the car 22 00:00:56,080 --> 00:00:57,080 Speaker 2: right now listening to. 23 00:00:57,040 --> 00:00:58,040 Speaker 3: This very possible. 24 00:00:58,280 --> 00:01:00,680 Speaker 1: We wish you absolutely the best and keep you guys 25 00:01:01,000 --> 00:01:04,679 Speaker 1: as up to date as possible. Obviously a storm that's 26 00:01:04,720 --> 00:01:09,360 Speaker 1: going to devastate potentially Florida, but also potentially reshape a 27 00:01:09,400 --> 00:01:11,200 Speaker 1: lot of our national conversation around that. But we're going 28 00:01:11,240 --> 00:01:12,880 Speaker 1: to start with just the facts and then perhaps we'll 29 00:01:12,920 --> 00:01:14,920 Speaker 1: get into some of the analysis. We're also going to 30 00:01:14,920 --> 00:01:18,119 Speaker 1: talk about Kamala Harris. He appeared on sixty Minutes last night. 31 00:01:18,480 --> 00:01:21,720 Speaker 4: There is ought to say about that. I think we'll 32 00:01:21,760 --> 00:01:22,400 Speaker 4: just leave it at that. 33 00:01:22,440 --> 00:01:25,000 Speaker 1: There's quite a few clips and other things at her foibles, 34 00:01:25,040 --> 00:01:27,919 Speaker 1: perhaps her strengths as president. We're going to talk about 35 00:01:27,959 --> 00:01:31,080 Speaker 1: the polls we are going to look with Logan Phillips 36 00:01:31,120 --> 00:01:34,080 Speaker 1: in one of our exclusive segments here. Some of it 37 00:01:34,120 --> 00:01:36,400 Speaker 1: will be public available today, but a lot of it 38 00:01:36,440 --> 00:01:39,280 Speaker 1: is going to be behind the paywall up until later. 39 00:01:39,360 --> 00:01:42,200 Speaker 1: That's for our premium subscribers. That's an incentive for you 40 00:01:42,280 --> 00:01:43,680 Speaker 1: to go ahead and sign up. We're going to talk 41 00:01:43,720 --> 00:01:46,319 Speaker 1: about the State Department where Ryan actually dropped a big 42 00:01:46,360 --> 00:01:48,800 Speaker 1: story over at drop site with his colleagues and then 43 00:01:48,840 --> 00:01:51,760 Speaker 1: the State Department was pressed about that. Finally, we are 44 00:01:51,760 --> 00:01:54,600 Speaker 1: going to talk about Hillary Clinton in a recent interview 45 00:01:54,840 --> 00:01:57,560 Speaker 1: on censorship, and then we have a great guest Jefferson 46 00:01:57,560 --> 00:02:02,200 Speaker 1: Morley on JFK and some new revelations about Lee Harvey 47 00:02:02,200 --> 00:02:05,280 Speaker 1: Oswald and some of the other shenanigans that he was 48 00:02:05,320 --> 00:02:08,280 Speaker 1: potentially up to. I won't tease too much because Jefferson 49 00:02:08,440 --> 00:02:11,079 Speaker 1: is just such an intelligent guy's been following this for 50 00:02:11,120 --> 00:02:13,919 Speaker 1: almost his entire life, so much scholarship. 51 00:02:13,560 --> 00:02:14,880 Speaker 4: On the JFK assassination. 52 00:02:14,960 --> 00:02:18,320 Speaker 1: He's got even more new revelations that add to the 53 00:02:18,400 --> 00:02:21,000 Speaker 1: picture of what happened. So let's go ahead and start 54 00:02:21,040 --> 00:02:25,800 Speaker 1: with Hurricane Milton. We're going to borrow here from Ryan Hall. 55 00:02:26,280 --> 00:02:28,440 Speaker 1: Some of you may know him on YouTube, never met him. 56 00:02:28,440 --> 00:02:29,920 Speaker 1: We reached out to him. By the way, Ryan, if 57 00:02:29,919 --> 00:02:32,400 Speaker 1: you're listening, we would love to host you. But he 58 00:02:32,520 --> 00:02:35,040 Speaker 1: really has some of the best weather analysis out there, 59 00:02:35,080 --> 00:02:36,640 Speaker 1: and so we thought we would just borrow from him 60 00:02:36,880 --> 00:02:38,920 Speaker 1: and play some clips so that you guys can see 61 00:02:39,360 --> 00:02:42,440 Speaker 1: what he is looking at in terms of Hurricane Milton, 62 00:02:42,760 --> 00:02:46,240 Speaker 1: its acceleration into a Category five hurricane, and now I 63 00:02:46,280 --> 00:02:50,639 Speaker 1: believe it's the fourth or fifth most powerful hurricane in 64 00:02:50,720 --> 00:02:54,560 Speaker 1: this region of the world ever seen by humanity. 65 00:02:54,639 --> 00:02:56,240 Speaker 4: So let's go ahead and take a listen to. 66 00:02:56,280 --> 00:02:59,600 Speaker 5: Ryan Major Hurricane Milton is a high end Category three 67 00:02:59,680 --> 00:03:01,799 Speaker 5: hurricane with one hundred and twenty five mile per hour 68 00:03:01,840 --> 00:03:04,120 Speaker 5: winds and the pressures down there around nine hundred and 69 00:03:04,120 --> 00:03:07,280 Speaker 5: forty five millibars. This is astronomically stronger than what it 70 00:03:07,320 --> 00:03:10,680 Speaker 5: was yesterday, and that intensification is going to continue today. 71 00:03:10,800 --> 00:03:13,880 Speaker 5: As soon as two am early in the morning tomorrow, 72 00:03:14,040 --> 00:03:16,720 Speaker 5: we could have a high end Category four with one 73 00:03:16,800 --> 00:03:19,280 Speaker 5: hundred and fifty five mile per hour winds right here, 74 00:03:19,400 --> 00:03:23,440 Speaker 5: just to the north of the Yucatan Peninsula near Progresso, Mexico. 75 00:03:23,720 --> 00:03:25,960 Speaker 5: I really hope that the people down here in Mexico 76 00:03:26,040 --> 00:03:28,840 Speaker 5: are watching out for this one, because this has taken 77 00:03:28,880 --> 00:03:31,680 Speaker 5: a really strange approach. I don't know if this area 78 00:03:31,960 --> 00:03:34,160 Speaker 5: has ever had to deal with a hurricane like this 79 00:03:34,360 --> 00:03:36,920 Speaker 5: coming in at this angle and at this intensity. This 80 00:03:36,960 --> 00:03:39,040 Speaker 5: is going to be a pretty bad situation for Mexico, 81 00:03:39,240 --> 00:03:42,280 Speaker 5: especially if it takes a more southern track here, because 82 00:03:42,320 --> 00:03:44,840 Speaker 5: it's going to be at its peak intensity right here. 83 00:03:44,960 --> 00:03:47,560 Speaker 5: The official forecast is, of course, for one hundred and 84 00:03:47,600 --> 00:03:51,480 Speaker 5: fifty five mile per hour Category four storm. However, I 85 00:03:51,800 --> 00:03:54,920 Speaker 5: really do believe that this could very well be a 86 00:03:55,160 --> 00:03:57,800 Speaker 5: Category five, maybe even by the end of today, not 87 00:03:57,880 --> 00:04:00,560 Speaker 5: even tomorrow, and then it could be a high end 88 00:04:00,800 --> 00:04:03,280 Speaker 5: Category five by the time it gets to this area, 89 00:04:03,400 --> 00:04:07,240 Speaker 5: especially if it continues to strengthen in the unbelievable fashion 90 00:04:07,240 --> 00:04:09,160 Speaker 5: that it has so far. But from there it is 91 00:04:09,200 --> 00:04:12,160 Speaker 5: going to start slowly weakening. Okay, we do expect it 92 00:04:12,200 --> 00:04:13,680 Speaker 5: to be down to one hundred and fifty miles per 93 00:04:13,720 --> 00:04:15,840 Speaker 5: hour as it goes a little bit farther to the east. 94 00:04:15,960 --> 00:04:19,760 Speaker 5: Once it gets between the Yucatan Peninsula and Florida, as 95 00:04:19,800 --> 00:04:21,960 Speaker 5: it's really starting to approach Florida, it's going to be 96 00:04:22,000 --> 00:04:23,880 Speaker 5: down to one hundred and forty four miles per hour, 97 00:04:23,960 --> 00:04:26,560 Speaker 5: and then we expect it to make landfall or at 98 00:04:26,640 --> 00:04:28,800 Speaker 5: least be just off the coast of Florida as a 99 00:04:28,800 --> 00:04:33,600 Speaker 5: Category three major hurricane on Wednesday, sometime after two pm 100 00:04:33,800 --> 00:04:36,040 Speaker 5: and before eight pm there you go. 101 00:04:36,040 --> 00:04:40,120 Speaker 1: So eight pm that is really when sorry Wednesday overnight 102 00:04:40,200 --> 00:04:42,160 Speaker 1: up until the morning on Thursday, and fortunately by this 103 00:04:42,160 --> 00:04:43,760 Speaker 1: time we do the show here on Thursday, we're going 104 00:04:43,839 --> 00:04:46,599 Speaker 1: to have potential some images where you will know the extent, 105 00:04:46,640 --> 00:04:49,080 Speaker 1: at least of some of the limited and early amounts 106 00:04:49,080 --> 00:04:50,560 Speaker 1: of damage. Let's go and put this next one up 107 00:04:50,600 --> 00:04:52,520 Speaker 1: on the screen. This is from Noah Bergen. He is 108 00:04:52,560 --> 00:04:56,919 Speaker 1: a meteorologist down in Florida for Fox Orlando. Here's what 109 00:04:56,960 --> 00:04:59,800 Speaker 1: he says, quote, this is nothing short of astronomical iomitty 110 00:04:59,800 --> 00:05:02,919 Speaker 1: a line lost for words to meteorologically describe you. The 111 00:05:03,000 --> 00:05:06,279 Speaker 1: storm's small eye and intensity eight hundred and ninety seven 112 00:05:06,400 --> 00:05:09,320 Speaker 1: MVP pressure with one hundred and eighty miles per hour max. 113 00:05:09,320 --> 00:05:12,480 Speaker 1: Sustained winds and gusts of two hundred miles per hour plus. 114 00:05:12,760 --> 00:05:15,160 Speaker 1: This is now the fourth strongest hurricane ever recorded by 115 00:05:15,200 --> 00:05:15,840 Speaker 1: pressure on. 116 00:05:15,760 --> 00:05:16,560 Speaker 4: This side of the world. 117 00:05:16,680 --> 00:05:20,320 Speaker 1: The eye is tiny, at nearly three point eight miles wide. 118 00:05:20,520 --> 00:05:23,680 Speaker 1: This hurricane is nearing the mathematical limit of what Earth's 119 00:05:23,720 --> 00:05:27,360 Speaker 1: atmosphere over the ocean water can produce. 120 00:05:27,400 --> 00:05:28,520 Speaker 4: So let that one's think. 121 00:05:28,360 --> 00:05:32,159 Speaker 1: In about just how powerful a storm can get as 122 00:05:32,160 --> 00:05:34,719 Speaker 1: of a last or I guess what five. 123 00:05:34,560 --> 00:05:35,760 Speaker 4: Am this morning. 124 00:05:35,880 --> 00:05:39,040 Speaker 1: The update that he's given us is just that they're 125 00:05:39,080 --> 00:05:44,480 Speaker 1: continually looking at the storm. That there's been some mild weakening, 126 00:05:44,520 --> 00:05:47,800 Speaker 1: but that is not going to stop the impact, and 127 00:05:47,839 --> 00:05:52,800 Speaker 1: the potential storm surges. Those surges look devastating, Ryan, and 128 00:05:52,839 --> 00:05:56,279 Speaker 1: all of this has prompted massive evacuation. We have some 129 00:05:56,400 --> 00:05:58,800 Speaker 1: pictures that we can show here let's go ahead and 130 00:05:58,839 --> 00:06:01,680 Speaker 1: see some of that video. Yeah, you're looking there. This 131 00:06:01,800 --> 00:06:05,200 Speaker 1: is evacuation in progress in Sarasota. This is a look 132 00:06:05,240 --> 00:06:08,680 Speaker 1: at the northbound traffic on I seventy five as residents 133 00:06:08,920 --> 00:06:11,839 Speaker 1: began to make their escapes. A lot of reports coming 134 00:06:11,839 --> 00:06:14,919 Speaker 1: out of Florida about sold out hotel rooms, about gas lines, 135 00:06:14,960 --> 00:06:18,560 Speaker 1: about horrible traffics, or really thinking about everybody there. But 136 00:06:18,600 --> 00:06:22,000 Speaker 1: this is a devastating storm, Ryan, and the storm surge 137 00:06:22,040 --> 00:06:25,240 Speaker 1: is no joke, some eight to ten feet in some areas. 138 00:06:25,240 --> 00:06:27,080 Speaker 1: As I understand that. One of the things that makes 139 00:06:27,080 --> 00:06:29,680 Speaker 1: it so unique is it's coming there onto that coast 140 00:06:29,720 --> 00:06:32,479 Speaker 1: of Florida towards Tampa. Tampa has not had a major 141 00:06:32,560 --> 00:06:34,839 Speaker 1: hurricane that's hit it in about one hundred years, and 142 00:06:34,920 --> 00:06:37,120 Speaker 1: so a lot of the residents, particularly. 143 00:06:36,640 --> 00:06:38,680 Speaker 3: Because some damage from Helenia, right, But. 144 00:06:38,560 --> 00:06:40,599 Speaker 1: There's been a lot of new residents that live in 145 00:06:40,880 --> 00:06:43,839 Speaker 1: Tampa in particular, who are not used to perhaps the 146 00:06:43,920 --> 00:06:47,480 Speaker 1: hurricane warnings and evacuation all that. So public officials are 147 00:06:47,560 --> 00:06:49,800 Speaker 1: sounding the alarm as big as they can. They're like, 148 00:06:49,880 --> 00:06:52,440 Speaker 1: if you are in an evacuation zone, you need to 149 00:06:52,600 --> 00:06:55,080 Speaker 1: get the hell out of there as soon as possible, 150 00:06:55,120 --> 00:06:57,320 Speaker 1: So hoping that our listeners who are in the Tampa 151 00:06:57,360 --> 00:06:59,960 Speaker 1: area and any others, you know, please heed your local 152 00:07:00,320 --> 00:07:02,800 Speaker 1: evacuation orders and all this because this looks bad. 153 00:07:03,040 --> 00:07:05,919 Speaker 2: And what's remarkable at the Ryan hallclips is that, you know, 154 00:07:05,960 --> 00:07:08,560 Speaker 2: he's expecting it to come in at you know, one 155 00:07:08,640 --> 00:07:10,560 Speaker 2: hundred and thirty, one hundred and forty. It's going to 156 00:07:10,600 --> 00:07:14,920 Speaker 2: be a serious storm, but it at all of a sudden, 157 00:07:15,480 --> 00:07:18,800 Speaker 2: almost instantly, like people were saying they've never seen anything happen. 158 00:07:18,800 --> 00:07:21,960 Speaker 4: That quickly acceleration and from storm to category. 159 00:07:21,520 --> 00:07:22,560 Speaker 3: Five, right, they're expecting that. 160 00:07:22,600 --> 00:07:26,320 Speaker 2: Okay, this is unfortunate for Mexico and the Yucatan Peninsula, 161 00:07:26,360 --> 00:07:28,400 Speaker 2: and I hope everybody is safe over there. It'll be 162 00:07:28,440 --> 00:07:30,520 Speaker 2: down to maybe one thirty one forty as it creeps 163 00:07:30,640 --> 00:07:32,080 Speaker 2: across over closer to Florida. 164 00:07:32,600 --> 00:07:34,480 Speaker 3: And then Milton had other ideas. 165 00:07:34,520 --> 00:07:39,000 Speaker 2: Instantly, while we're talking one seventy five, one eighty h somebody, 166 00:07:39,240 --> 00:07:41,440 Speaker 2: you know, I saw some meteorologist saying that it was 167 00:07:41,720 --> 00:07:46,440 Speaker 2: approaching the mathematical possibilities for our for our atmosphere, yeah, exactly, 168 00:07:47,160 --> 00:07:51,160 Speaker 2: which is what a harrowing line, like, what what does 169 00:07:51,200 --> 00:07:51,800 Speaker 2: that even mean? 170 00:07:51,880 --> 00:07:54,640 Speaker 3: And what's beyond those possibilities. 171 00:07:54,080 --> 00:07:58,360 Speaker 2: Like this, this is it and the I think you're 172 00:07:58,400 --> 00:08:01,600 Speaker 2: exactly right to highlight the fact that so many millions 173 00:08:01,600 --> 00:08:06,080 Speaker 2: of people have flooded no pun intended Florida over the 174 00:08:06,160 --> 00:08:08,640 Speaker 2: last couple of years in search of this great weather 175 00:08:08,720 --> 00:08:10,560 Speaker 2: and this cheaper housing has They've been driven out of 176 00:08:10,560 --> 00:08:16,800 Speaker 2: other places to then match that migration with this storm 177 00:08:16,920 --> 00:08:19,920 Speaker 2: hitting these hitting these folks who aren't prepared for it. 178 00:08:20,160 --> 00:08:22,920 Speaker 2: There's no no, no wady in Florida has a basement. Yeah, 179 00:08:22,960 --> 00:08:24,840 Speaker 2: and you know a lot of these you know, these 180 00:08:24,880 --> 00:08:26,880 Speaker 2: houses are slapped together. 181 00:08:27,400 --> 00:08:29,080 Speaker 3: This is these are well, they're very newly construed. 182 00:08:29,160 --> 00:08:33,400 Speaker 2: This is not in Jamaica, British Virgin Islands, US Vision islands. 183 00:08:33,440 --> 00:08:37,600 Speaker 2: Like these are cinder block houses, you know, weathered by 184 00:08:37,800 --> 00:08:41,000 Speaker 2: hundreds of years of hurricanes, where you know they can 185 00:08:41,080 --> 00:08:43,440 Speaker 2: they can hunker down in that bunker. That's not what 186 00:08:43,520 --> 00:08:45,600 Speaker 2: you have throughout a lot of Florida. 187 00:08:46,240 --> 00:08:48,880 Speaker 1: It's really devastating. Let's go to the next one. This 188 00:08:48,960 --> 00:08:52,280 Speaker 1: kind of underscores what you're talking about. Only seven hurricanes 189 00:08:52,320 --> 00:08:54,640 Speaker 1: have gone from category one to Category five and twenty 190 00:08:54,640 --> 00:08:57,840 Speaker 1: four hours Milton is now actually the second fastest to 191 00:08:57,960 --> 00:09:01,320 Speaker 1: ever do so. Let's go a five. Also, please up 192 00:09:01,360 --> 00:09:03,880 Speaker 1: on the screen. This is for anyone who is watching. 193 00:09:03,920 --> 00:09:07,440 Speaker 1: These are the evacuation areas that you can see from Jacksonville, 194 00:09:07,760 --> 00:09:12,280 Speaker 1: Fort Myers, Jupiter, Orlando, Tampa. They are also highlighting in 195 00:09:12,400 --> 00:09:15,160 Speaker 1: green the cities where they are recommending that there will 196 00:09:15,160 --> 00:09:16,320 Speaker 1: not be power outages. 197 00:09:16,360 --> 00:09:17,520 Speaker 4: So a personal friend of mine is. 198 00:09:17,520 --> 00:09:20,679 Speaker 1: Actually in Miami, lives in the Tampa area, but they 199 00:09:20,679 --> 00:09:24,920 Speaker 1: are in the northern above Florida, above the Panhandle. They're 200 00:09:24,960 --> 00:09:29,960 Speaker 1: recommending people go to Columbia, Charleston, Savannah, make In, Atlanta, Birmingham, Montgomery, Mobile, 201 00:09:30,240 --> 00:09:33,880 Speaker 1: Panama City, Jackson and New Orleans. So yeah, evacuating a 202 00:09:34,200 --> 00:09:36,240 Speaker 1: hurricane just to have to go to New Orleans kind 203 00:09:36,280 --> 00:09:38,720 Speaker 1: of ironic. There, let's go to the next one. This 204 00:09:38,800 --> 00:09:42,560 Speaker 1: again just highlights the flooding. This is really devastating. I 205 00:09:42,559 --> 00:09:46,160 Speaker 1: believe that this is from FEMA and this shows just 206 00:09:46,320 --> 00:09:50,600 Speaker 1: on the coast of what the expected storm surge will 207 00:09:50,760 --> 00:09:53,560 Speaker 1: look like. So, as I said, the Tampa Bay area 208 00:09:53,600 --> 00:09:56,760 Speaker 1: is expecting some eight to twelve feet of storm surge. 209 00:09:56,800 --> 00:09:59,880 Speaker 3: I mean eight to twelve feet of water that will come. 210 00:10:00,160 --> 00:10:02,079 Speaker 1: And you know, if you've ever been to that city, 211 00:10:02,200 --> 00:10:04,480 Speaker 1: just how much of it is there on the coast. 212 00:10:04,520 --> 00:10:07,720 Speaker 1: They're also looking at five to ten feet in other areas, 213 00:10:07,760 --> 00:10:09,880 Speaker 1: and even a quote unquote small one of two to 214 00:10:09,920 --> 00:10:13,040 Speaker 1: four feet in the less effected But as I understand that, 215 00:10:13,040 --> 00:10:16,920 Speaker 1: that is double of what Hurricane Helene brought, and already 216 00:10:17,080 --> 00:10:19,199 Speaker 1: they had a lot of debris that was. 217 00:10:19,200 --> 00:10:20,839 Speaker 4: On the ground from Hurricane Helen. 218 00:10:20,960 --> 00:10:24,120 Speaker 1: One of the major priorities of Florida authorities over the 219 00:10:24,120 --> 00:10:26,160 Speaker 1: next twenty four hours is actually to pick up as 220 00:10:26,240 --> 00:10:31,000 Speaker 1: much debris as possible, to forestall any flying around debris 221 00:10:31,040 --> 00:10:34,640 Speaker 1: and projectiles that would break a lot of property in 222 00:10:34,720 --> 00:10:37,920 Speaker 1: the area. But people there are really bracing and what 223 00:10:37,960 --> 00:10:40,520 Speaker 1: we actually want to highlight is an interview that the 224 00:10:40,559 --> 00:10:44,720 Speaker 1: mayor of Tampa just gave last night where she said, 225 00:10:44,840 --> 00:10:48,160 Speaker 1: I can say this without any dramatization whatsoever, if you 226 00:10:48,240 --> 00:10:51,360 Speaker 1: choose to stay in one of those vacanvation areas, you 227 00:10:51,559 --> 00:10:52,960 Speaker 1: are going to die. 228 00:10:53,240 --> 00:10:54,040 Speaker 4: Let's take a listen. 229 00:10:54,240 --> 00:10:56,480 Speaker 1: What would you say to people tonight who were saying, 230 00:10:56,520 --> 00:10:58,000 Speaker 1: you know what, I'm going to ride this out. 231 00:10:58,040 --> 00:10:59,080 Speaker 6: I've written others out. 232 00:10:59,640 --> 00:11:01,480 Speaker 3: What would you say to people who aren't hating those 233 00:11:01,520 --> 00:11:02,560 Speaker 3: evacuation orders. 234 00:11:04,040 --> 00:11:07,559 Speaker 7: Well, I can tell you right now that they may 235 00:11:07,600 --> 00:11:10,319 Speaker 7: have done that in others. There's never been one like this, 236 00:11:10,960 --> 00:11:16,520 Speaker 7: and this Helene was a wake up call. This is 237 00:11:16,920 --> 00:11:22,920 Speaker 7: literally catastrophic. And I can say, without any dramatization whatsoever, 238 00:11:23,120 --> 00:11:26,440 Speaker 7: if you choose to stay in one of those evacuation areas, 239 00:11:26,480 --> 00:11:27,400 Speaker 7: you're going to die. 240 00:11:28,000 --> 00:11:29,000 Speaker 4: You are going to die. 241 00:11:29,080 --> 00:11:33,040 Speaker 1: So that's obviously pretty intense stuff. They're coming from the 242 00:11:33,080 --> 00:11:35,280 Speaker 1: mayor of Tampa, Ryan and I saw. 243 00:11:34,840 --> 00:11:37,120 Speaker 3: It difficult for everybody to evacuate. But yeah, go ahead, 244 00:11:37,160 --> 00:11:37,959 Speaker 3: Well that's always. 245 00:11:37,720 --> 00:11:38,120 Speaker 4: Going to say. 246 00:11:38,120 --> 00:11:40,040 Speaker 1: The problem with this is that people think you can 247 00:11:40,120 --> 00:11:42,559 Speaker 1: just wave a magic wand and you're like, oh, evacuation 248 00:11:42,760 --> 00:11:45,720 Speaker 1: is happening. But like I said, especially lower income folks, 249 00:11:45,720 --> 00:11:48,240 Speaker 1: it's not a lot of this during Katrina. People who 250 00:11:48,600 --> 00:11:51,959 Speaker 1: don't have a lot of money. Gas obviously right now 251 00:11:52,120 --> 00:11:56,440 Speaker 1: is scarce, commodities. I understand a traffic as well as 252 00:11:56,480 --> 00:11:59,600 Speaker 1: a problem. A lot of these hotel rooms are sold out. 253 00:11:59,640 --> 00:12:00,960 Speaker 1: Many people are going to have to get on the 254 00:12:01,000 --> 00:12:02,640 Speaker 1: road for eight to ten hours just to be able 255 00:12:02,640 --> 00:12:05,000 Speaker 1: to make it to a metro area. I know it's 256 00:12:05,040 --> 00:12:07,720 Speaker 1: heard some stories in my own personal life. People multiple 257 00:12:07,760 --> 00:12:09,360 Speaker 1: flights canceled. 258 00:12:08,800 --> 00:12:09,360 Speaker 4: Out of that area. 259 00:12:09,400 --> 00:12:11,439 Speaker 1: They're gonna have to drive somewhere else just to try 260 00:12:11,440 --> 00:12:12,880 Speaker 1: and be able to get on a flight so they 261 00:12:12,880 --> 00:12:16,000 Speaker 1: have somewhere to go. Thousands of dollars out of pocket 262 00:12:16,000 --> 00:12:19,000 Speaker 1: costs obviously that they're incurring some people, you know, some 263 00:12:19,080 --> 00:12:21,839 Speaker 1: people are four dogs or whatever. Just the story this morning. 264 00:12:21,880 --> 00:12:23,880 Speaker 1: People who they don't know what to do, they don't 265 00:12:23,880 --> 00:12:26,560 Speaker 1: have any money, and they really feel helpless in this. 266 00:12:26,720 --> 00:12:29,839 Speaker 1: So that is perhaps the most devastating part out of this. 267 00:12:30,000 --> 00:12:32,280 Speaker 1: People who feel who are elderly, you know a lot 268 00:12:32,320 --> 00:12:34,920 Speaker 1: of pensioners, people who live down there on a fixed income, 269 00:12:34,960 --> 00:12:37,760 Speaker 1: and so having to flex in a disaster time like 270 00:12:37,800 --> 00:12:39,400 Speaker 1: this is a lot of really scary and you only 271 00:12:39,400 --> 00:12:41,400 Speaker 1: have forty eight hours or seventy two hours or whatever 272 00:12:41,640 --> 00:12:42,120 Speaker 1: to repair. 273 00:12:42,120 --> 00:12:43,880 Speaker 4: It's just not a lot of time. It's not a 274 00:12:43,920 --> 00:12:44,440 Speaker 4: lot of a. 275 00:12:44,440 --> 00:12:46,600 Speaker 2: Lot of those people have difficulty driving to the grocery 276 00:12:46,600 --> 00:12:50,520 Speaker 2: store and back go right driving like fifteen hours with 277 00:12:50,720 --> 00:12:54,200 Speaker 2: no place to go. That's the hard part, especially for 278 00:12:54,240 --> 00:12:59,079 Speaker 2: people who can't afford these price gouging that's going on 279 00:12:59,480 --> 00:13:02,079 Speaker 2: when it comes either to gas or if you can 280 00:13:02,120 --> 00:13:06,280 Speaker 2: eventually find a place to stay. But I would say 281 00:13:06,280 --> 00:13:08,040 Speaker 2: if you're in that zone, it is worth it. Like 282 00:13:08,080 --> 00:13:10,440 Speaker 2: whatever whatever the risks are that you have to take 283 00:13:10,480 --> 00:13:14,360 Speaker 2: to evacuate, like take those risks rather than thinking, you 284 00:13:14,400 --> 00:13:16,439 Speaker 2: know what, I can actually probably hunker down and get 285 00:13:16,440 --> 00:13:19,760 Speaker 2: through this. And psychologically it's so difficult because your home, 286 00:13:20,000 --> 00:13:22,480 Speaker 2: your home is your sanctuary. It's a place that feels safe. 287 00:13:23,360 --> 00:13:25,480 Speaker 2: It's the place where you want to go to when 288 00:13:25,520 --> 00:13:28,640 Speaker 2: you're in danger. And so to be told no, actually 289 00:13:28,679 --> 00:13:30,880 Speaker 2: you need to get out of there, it's there's a 290 00:13:30,920 --> 00:13:33,200 Speaker 2: psychological barrier that you have to climb over. But you 291 00:13:33,679 --> 00:13:35,439 Speaker 2: but like that, and then the mayor is trying to 292 00:13:35,480 --> 00:13:37,480 Speaker 2: give you that push over the top. If you stay 293 00:13:37,520 --> 00:13:41,520 Speaker 2: in these flood evacuation zones h a higher zone that 294 00:13:41,600 --> 00:13:44,760 Speaker 2: is an evacuation zone, you're very likely going to die, 295 00:13:44,760 --> 00:13:48,040 Speaker 2: but at least you're not going to definitely die because 296 00:13:48,040 --> 00:13:52,120 Speaker 2: of the flooding. But in the lower zones it's gonna 297 00:13:52,120 --> 00:13:52,959 Speaker 2: be how honor I. 298 00:13:52,920 --> 00:13:55,480 Speaker 1: Was looking at photos of like Tampa Bay Hospital and 299 00:13:55,520 --> 00:13:57,800 Speaker 1: others that are you know, right on sea level, right 300 00:13:57,840 --> 00:14:00,680 Speaker 1: by the ocean with an eight to twelve feet storm 301 00:14:00,679 --> 00:14:03,760 Speaker 1: search it just looks critical care there. Yeah, let's right, 302 00:14:03,800 --> 00:14:06,400 Speaker 1: people are in critical care. I mean it look Florida. Obviously, 303 00:14:06,559 --> 00:14:08,560 Speaker 1: the authorities there they seem to know what they're doing. 304 00:14:08,600 --> 00:14:11,720 Speaker 1: They're trying their best with the evacuation order. The government 305 00:14:11,720 --> 00:14:14,880 Speaker 1: actually seems like it's all in Ronda Santa. There was 306 00:14:14,920 --> 00:14:20,200 Speaker 1: some like whatever controversy where he allegedly declined a phone 307 00:14:20,200 --> 00:14:24,440 Speaker 1: call from Kamala Harris. He's denying that, but he did say, look, 308 00:14:24,480 --> 00:14:26,760 Speaker 1: the Biden administration has given me all the resources that 309 00:14:26,800 --> 00:14:30,240 Speaker 1: I need, and so we'll watch this very closely. October 310 00:14:30,280 --> 00:14:33,040 Speaker 1: is hurricane season. Obviously in the US we have a 311 00:14:33,040 --> 00:14:36,040 Speaker 1: long history of hurricanes. You know, right before the election, 312 00:14:36,160 --> 00:14:38,680 Speaker 1: there will be a lot of you know, there will 313 00:14:38,680 --> 00:14:41,120 Speaker 1: be a lot of eyeballs on Florida. 314 00:14:41,040 --> 00:14:42,960 Speaker 4: As they have to rebuild. We have to look at 315 00:14:42,960 --> 00:14:43,560 Speaker 4: the disaster. 316 00:14:43,720 --> 00:14:47,480 Speaker 1: Perhaps supplementals Congressman to come back into town. But you know, 317 00:14:47,560 --> 00:14:49,680 Speaker 1: right now in the interim, just for everybody there, like 318 00:14:49,720 --> 00:14:51,960 Speaker 1: I said, we have a large audience in Florida, please 319 00:14:52,000 --> 00:14:55,920 Speaker 1: stay safe, Please heed local evacuation orders, especially with the 320 00:14:55,960 --> 00:14:59,800 Speaker 1: devastation that this projection of what the storm is. Even 321 00:14:59,800 --> 00:15:02,520 Speaker 1: if storm does slow down as I understand it, you know, 322 00:15:02,800 --> 00:15:05,800 Speaker 1: just making landfall a category four is still not a joke. 323 00:15:06,120 --> 00:15:08,680 Speaker 1: And with the storm surge alone, that can cause a 324 00:15:08,720 --> 00:15:12,640 Speaker 1: significant amount of devastation, So really thinking about everybody in Florida. 325 00:15:12,720 --> 00:15:15,080 Speaker 1: Like I said, for our audience, please heed the advice 326 00:15:15,120 --> 00:15:21,120 Speaker 1: of your local evacuation authorities and orders. Let's go to 327 00:15:21,160 --> 00:15:24,280 Speaker 1: the next part and just give them a political insight. 328 00:15:25,080 --> 00:15:29,520 Speaker 1: Insight I think also into what the American political establishment, 329 00:15:29,600 --> 00:15:33,800 Speaker 1: that the propriety care about. Yeah, the depravity of our leaders, 330 00:15:34,720 --> 00:15:37,160 Speaker 1: what their real priorities are. And I talked a little 331 00:15:37,160 --> 00:15:38,680 Speaker 1: bit about this yesterday, but I just had to play 332 00:15:38,720 --> 00:15:40,840 Speaker 1: it in the context of what we're looking at. 333 00:15:40,840 --> 00:15:41,040 Speaker 3: Here. 334 00:15:41,080 --> 00:15:44,120 Speaker 1: Here is Senator Lindsey Graham talking about how, yeah, the 335 00:15:44,160 --> 00:15:46,760 Speaker 1: flooding in North and South Carolina, Yeah, it was definitely bad. 336 00:15:46,760 --> 00:15:48,880 Speaker 4: But we got to think about Israel right now. Let's 337 00:15:48,880 --> 00:15:49,400 Speaker 4: take a listen. 338 00:15:49,480 --> 00:15:55,400 Speaker 8: You can think, you know, I've been going all over 339 00:15:55,480 --> 00:15:57,800 Speaker 8: South Carolina like most people hadn't slept much. 340 00:15:58,000 --> 00:15:59,480 Speaker 6: But look what's going on to Israel. 341 00:15:59,560 --> 00:16:01,840 Speaker 8: Our friends in Israel surrounded by people that want to 342 00:16:01,920 --> 00:16:05,240 Speaker 8: kill them, destroy them, a second Holocaust in the making. 343 00:16:05,480 --> 00:16:09,600 Speaker 8: And Biden says, be proportional. What is the proportional response 344 00:16:09,840 --> 00:16:10,680 Speaker 8: that people want to. 345 00:16:10,720 --> 00:16:11,920 Speaker 3: Kill you and your family. 346 00:16:12,120 --> 00:16:15,040 Speaker 8: They're running out of ammunition in Israel. We have to 347 00:16:15,120 --> 00:16:18,040 Speaker 8: help our friends to keep the war over there from 348 00:16:18,080 --> 00:16:18,800 Speaker 8: coming here. 349 00:16:19,040 --> 00:16:20,560 Speaker 4: I've been all over South Carolina. 350 00:16:20,760 --> 00:16:23,280 Speaker 1: But kay, you just think about Israel and our friends 351 00:16:23,280 --> 00:16:26,560 Speaker 1: in Israel. I mean, look, that is that's everything for me. 352 00:16:26,680 --> 00:16:29,360 Speaker 1: And look, there's been a lot of conversation that I've 353 00:16:29,360 --> 00:16:32,840 Speaker 1: seen online and the people are always attacked. They're like, oh, 354 00:16:32,960 --> 00:16:35,360 Speaker 1: talking about FEMA resources where they've. 355 00:16:35,200 --> 00:16:35,880 Speaker 4: Gone in the past. 356 00:16:35,920 --> 00:16:38,440 Speaker 1: But the one way I think people have America dead 357 00:16:38,520 --> 00:16:40,800 Speaker 1: to rights is look at all this money that we 358 00:16:41,080 --> 00:16:45,560 Speaker 1: freely without Congress, without debate, we are willing to ship 359 00:16:45,760 --> 00:16:50,640 Speaker 1: overseas to fund foreign conflicts. But there are now hundreds 360 00:16:50,680 --> 00:16:54,160 Speaker 1: of people who are confirmed dead from Hurricane Helen alone. 361 00:16:54,240 --> 00:16:56,640 Speaker 1: Let's put this up there. Two hundred and twenty seven 362 00:16:56,720 --> 00:17:02,960 Speaker 1: people have now officially been a confirmed dead from Hurricane Helene, 363 00:17:03,080 --> 00:17:08,920 Speaker 1: and the quote grim task of recovering bodies continues. Nobody 364 00:17:09,000 --> 00:17:12,199 Speaker 1: knows what the final death toll from this hurricane will be. 365 00:17:12,240 --> 00:17:15,280 Speaker 1: Perhaps even this hurricane will be eclipsed in terms of 366 00:17:15,320 --> 00:17:18,239 Speaker 1: damage by Hurricane Milton, which we just talked about. But 367 00:17:19,160 --> 00:17:23,320 Speaker 1: just consider you know that these entire communities destroyed. Was 368 00:17:23,320 --> 00:17:26,280 Speaker 1: something we talked about in a previous show here about 369 00:17:26,359 --> 00:17:29,240 Speaker 1: Hurricane Helene. Is that the city of Asheville was one 370 00:17:29,280 --> 00:17:32,679 Speaker 1: of the most booming cities in all of North Carolina. 371 00:17:33,000 --> 00:17:35,960 Speaker 1: And we know that statistically, fifty percent of small businesses 372 00:17:36,359 --> 00:17:40,439 Speaker 1: never reopen after being destroyed by a hurricanes. So that 373 00:17:40,640 --> 00:17:44,119 Speaker 1: just sucks the soul out of what was a thriving 374 00:17:44,920 --> 00:17:48,119 Speaker 1: tourist destination here on the East coast, actually had a 375 00:17:48,119 --> 00:17:51,200 Speaker 1: lot of people who moved there from all across the country. 376 00:17:51,240 --> 00:17:53,840 Speaker 1: And then we're devastated by the floods. And I can't 377 00:17:53,840 --> 00:17:56,159 Speaker 1: help but think also about Tampa as well. I mean, 378 00:17:56,200 --> 00:17:58,479 Speaker 1: I personally know people just moved to Tampa. A lot 379 00:17:58,520 --> 00:18:02,480 Speaker 1: of people have higher area of Florida one of the 380 00:18:02,520 --> 00:18:06,119 Speaker 1: most economically dynamic in the US, not just pensioners, but 381 00:18:06,200 --> 00:18:08,560 Speaker 1: a lot of younger people, families like you talked about, 382 00:18:08,600 --> 00:18:10,040 Speaker 1: you want to be able to ford a home for 383 00:18:10,119 --> 00:18:11,080 Speaker 1: three four hundred. 384 00:18:10,880 --> 00:18:12,159 Speaker 4: Grand something like that. 385 00:18:12,200 --> 00:18:14,200 Speaker 1: And now all of a sudden, you know, staring down 386 00:18:14,720 --> 00:18:17,639 Speaker 1: the barrel of a similar situation. So when I just 387 00:18:17,680 --> 00:18:20,080 Speaker 1: put those two things side by side, I'm just disgusted. 388 00:18:20,200 --> 00:18:20,719 Speaker 4: I really am. 389 00:18:20,840 --> 00:18:21,520 Speaker 3: I'm disgusted. 390 00:18:22,280 --> 00:18:24,760 Speaker 2: Did you notice that the control room trying to bail 391 00:18:24,800 --> 00:18:27,200 Speaker 2: Linzi Graham out a little bit there? You know, he's 392 00:18:27,200 --> 00:18:29,719 Speaker 2: because he's talking about Israel while they have in the 393 00:18:29,760 --> 00:18:34,199 Speaker 2: background all of the b roll devastation from Hurricane Helene, 394 00:18:34,480 --> 00:18:36,720 Speaker 2: and they very quickly get rid of that and give 395 00:18:36,800 --> 00:18:38,000 Speaker 2: him just his normal background. 396 00:18:38,080 --> 00:18:41,879 Speaker 3: So it's just standard Lindsay Graham talking about how Israel' 397 00:18:41,920 --> 00:18:46,040 Speaker 3: running out of ammunition. Come on Control room. You could 398 00:18:46,040 --> 00:18:47,000 Speaker 3: have done the people as. 399 00:18:46,960 --> 00:18:49,239 Speaker 2: Solid there and just left the PA should have You're right, 400 00:18:50,040 --> 00:18:53,480 Speaker 2: leave that split screen up for people to really get 401 00:18:53,160 --> 00:18:56,520 Speaker 2: the full grasp of what's going on. But I was 402 00:18:56,560 --> 00:18:59,439 Speaker 2: just thinking about how I remember in twenty twenty, I 403 00:18:59,480 --> 00:19:04,320 Speaker 2: was down Panhandle driving through there, and Hurricane Michael had 404 00:19:04,400 --> 00:19:06,640 Speaker 2: ripped through there two years earlier, twenty eighteen. 405 00:19:06,760 --> 00:19:07,360 Speaker 3: I remember that. 406 00:19:07,600 --> 00:19:11,560 Speaker 2: The devastation was still everywhere two years later, like things 407 00:19:11,600 --> 00:19:15,600 Speaker 2: boarded up, like you know, debris on the side of homes. 408 00:19:15,640 --> 00:19:17,560 Speaker 2: You could it looked like the storm had happened a 409 00:19:17,600 --> 00:19:20,280 Speaker 2: month ago, but it had been two years. Like this 410 00:19:20,320 --> 00:19:24,399 Speaker 2: stuff takes much longer to recover from. I think then 411 00:19:24,440 --> 00:19:26,400 Speaker 2: people realize, I. 412 00:19:26,359 --> 00:19:26,960 Speaker 4: Know, you're right. 413 00:19:27,359 --> 00:19:30,000 Speaker 1: You know, I had the opportunity at some point, you know, 414 00:19:30,040 --> 00:19:32,560 Speaker 1: to be able to see some tsunami devastation when I 415 00:19:32,600 --> 00:19:36,520 Speaker 1: was in Asia, even years later, after the tsunami. Look, 416 00:19:36,520 --> 00:19:38,280 Speaker 1: it's Asia, it's different, but I'm just you know, to 417 00:19:38,680 --> 00:19:42,320 Speaker 1: your point, even years later, it's just like, wow, multiple 418 00:19:42,440 --> 00:19:45,080 Speaker 1: years since that happened, and there's still a lot of 419 00:19:45,160 --> 00:19:47,840 Speaker 1: damage that's over here. And so when we're thinking here 420 00:19:47,880 --> 00:19:51,440 Speaker 1: about storm surge and just coming some fifteen days or 421 00:19:51,480 --> 00:19:56,080 Speaker 1: whatever after Hurricane Helen, that really is just so devastating 422 00:19:56,080 --> 00:19:59,520 Speaker 1: for people down there, and just highlights about let's see 423 00:19:59,560 --> 00:20:01,959 Speaker 1: what the nation conversation is like, you know after this, 424 00:20:02,080 --> 00:20:05,040 Speaker 1: where we were going to have American already Americans are 425 00:20:05,160 --> 00:20:07,760 Speaker 1: in need, these people who have been devastated just in 426 00:20:08,080 --> 00:20:11,800 Speaker 1: having to evacuate, and now these victims of the hurricane 427 00:20:12,240 --> 00:20:15,199 Speaker 1: in Hurricane Helena and in North Carolina potentially you know, 428 00:20:15,200 --> 00:20:17,479 Speaker 1: there's some three some million people or whatever who live 429 00:20:17,520 --> 00:20:19,320 Speaker 1: in the Tampa metro area. 430 00:20:19,359 --> 00:20:20,639 Speaker 3: That's a lot of people. 431 00:20:21,160 --> 00:20:24,320 Speaker 1: Huge, yeah, massive, I mean, and then when we consider 432 00:20:24,640 --> 00:20:28,679 Speaker 1: the impact on their lives, those businesses, all the people 433 00:20:28,920 --> 00:20:31,160 Speaker 1: that are down there, you know, I would hope that 434 00:20:31,520 --> 00:20:34,360 Speaker 1: the US government and others and can actually focus its 435 00:20:34,480 --> 00:20:36,760 Speaker 1: attention on our own citizens. 436 00:20:36,760 --> 00:20:38,040 Speaker 4: But I'm not going to hold my breath. 437 00:20:38,160 --> 00:20:40,600 Speaker 1: I'm definitely not going to hold my breath, not only 438 00:20:40,680 --> 00:20:43,119 Speaker 1: because you would think in an election year, that's the 439 00:20:43,200 --> 00:20:46,000 Speaker 1: time when you most want to pay attention to your 440 00:20:46,040 --> 00:20:48,639 Speaker 1: own citizens and to highlight to others what you know. 441 00:20:48,680 --> 00:20:51,960 Speaker 1: The government's entire purpose is if not for literally for 442 00:20:52,080 --> 00:20:56,200 Speaker 1: disaster purposes, but instead all attention is on funding as 443 00:20:56,280 --> 00:21:00,159 Speaker 1: much war in the Middle East or in Ukraine as 444 00:21:00,200 --> 00:21:03,280 Speaker 1: there is possible. It's like in Ukraine, whenever you know, 445 00:21:03,320 --> 00:21:07,320 Speaker 1: a Russian facility takes out an energy you know, whatever 446 00:21:07,400 --> 00:21:08,200 Speaker 1: facility or whatever. 447 00:21:08,280 --> 00:21:09,560 Speaker 4: All there's funny of American dollars. 448 00:21:09,600 --> 00:21:12,480 Speaker 1: I remember reading a story about how the United States 449 00:21:12,600 --> 00:21:17,560 Speaker 1: is funding a small yarn saleswoman in Ukraine to prop 450 00:21:17,640 --> 00:21:19,600 Speaker 1: up civil society, and I'm like, oh, it would be 451 00:21:19,720 --> 00:21:23,080 Speaker 1: nice maybe if you run a yarn store in Asheville, 452 00:21:23,080 --> 00:21:25,880 Speaker 1: North Carolina, if you had a similar program, that'll cut 453 00:21:25,880 --> 00:21:28,200 Speaker 1: you a check basically, no questions asked. 454 00:21:28,200 --> 00:21:29,719 Speaker 4: And perhaps now in Tampa. 455 00:21:29,800 --> 00:21:34,000 Speaker 1: So yeah, I'm just genuinely disgusted by the attitude around 456 00:21:34,000 --> 00:21:34,720 Speaker 1: this entire thing. 457 00:21:36,840 --> 00:21:37,760 Speaker 4: Let's go to the next part. 458 00:21:37,760 --> 00:21:41,359 Speaker 1: We'll talk about Kamala Harris and this interview that she 459 00:21:41,480 --> 00:21:43,280 Speaker 1: gave on sixty minutes. 460 00:21:43,320 --> 00:21:45,040 Speaker 4: There is a lot to say here. 461 00:21:45,200 --> 00:21:50,040 Speaker 1: I think we'll focus first on this the answer about 462 00:21:50,200 --> 00:21:51,200 Speaker 1: changing position. 463 00:21:51,280 --> 00:21:53,280 Speaker 4: This is where it's funny. 464 00:21:52,960 --> 00:21:55,720 Speaker 1: Because it even took a couple months, right even CNN, 465 00:21:55,920 --> 00:21:58,280 Speaker 1: Right even CNN and Dana Bash In the most like 466 00:21:58,400 --> 00:22:02,800 Speaker 1: tongue bathing interview by a national news host, she asked, 467 00:22:02,840 --> 00:22:04,760 Speaker 1: in most tepid way possible, like. 468 00:22:04,720 --> 00:22:09,000 Speaker 4: Well, you know some people's gus positions, and you know, 469 00:22:09,040 --> 00:22:10,840 Speaker 4: how do you square that? 470 00:22:10,880 --> 00:22:13,040 Speaker 1: And you would think, you know, considering how awful that 471 00:22:13,119 --> 00:22:16,920 Speaker 1: answer was, that you may change your tune. Well, it 472 00:22:17,040 --> 00:22:20,119 Speaker 1: turns out it hasn't changed all that much, and if anything, frankly, 473 00:22:20,160 --> 00:22:21,160 Speaker 1: the answer has gotten worse. 474 00:22:21,320 --> 00:22:22,040 Speaker 4: Let's take a listen. 475 00:22:22,320 --> 00:22:26,040 Speaker 9: You're for medicare for all. Now, You're not so many 476 00:22:26,119 --> 00:22:30,840 Speaker 9: that people don't truly know what you believe or what 477 00:22:30,920 --> 00:22:32,800 Speaker 9: you stand for. And I know you've heard that. 478 00:22:33,600 --> 00:22:36,080 Speaker 10: In the last four years, I have been Vice president 479 00:22:36,080 --> 00:22:38,920 Speaker 10: of the United States, and I have been traveling our country, 480 00:22:39,200 --> 00:22:43,200 Speaker 10: and I have been listening to folks and seeking what 481 00:22:43,320 --> 00:22:45,640 Speaker 10: is possible in terms of common ground. 482 00:22:46,119 --> 00:22:47,760 Speaker 3: I believe in building consensus. 483 00:22:48,280 --> 00:22:52,840 Speaker 11: We are diverse people geographically regionally in terms of where 484 00:22:52,880 --> 00:22:56,719 Speaker 11: we are in our backgrounds, and what the American people 485 00:22:56,840 --> 00:22:59,359 Speaker 11: do want is that we have leaders who can build 486 00:22:59,480 --> 00:23:03,880 Speaker 11: consents where we can figure out compromise and understand it's 487 00:23:03,880 --> 00:23:06,720 Speaker 11: not a bad thing as long as you don't compromise your. 488 00:23:06,680 --> 00:23:11,480 Speaker 10: Values to find common sense solutions. And that has been 489 00:23:12,320 --> 00:23:12,960 Speaker 10: my approach. 490 00:23:13,280 --> 00:23:16,480 Speaker 4: That has been my approach. She basically said, well, I've traveled. 491 00:23:16,200 --> 00:23:18,400 Speaker 3: A lot and heard from other people, and. 492 00:23:18,520 --> 00:23:20,960 Speaker 1: Look, I've even said this, Crystal disagrees with me. I'm 493 00:23:20,960 --> 00:23:22,800 Speaker 1: curious what you think. I think at a certain point, 494 00:23:22,920 --> 00:23:25,000 Speaker 1: you need to just own up and be like, look, 495 00:23:25,400 --> 00:23:27,520 Speaker 1: I said a lot of things. It's clearly the American 496 00:23:27,520 --> 00:23:29,520 Speaker 1: people don't agree with me. I want to be president. 497 00:23:29,520 --> 00:23:31,879 Speaker 1: I'm a consensus builder, but a lot of this is 498 00:23:31,920 --> 00:23:34,120 Speaker 1: all like, oh, well my values haven't changed, and I'm 499 00:23:34,119 --> 00:23:37,239 Speaker 1: about you never come out and actually just say it. 500 00:23:37,320 --> 00:23:38,480 Speaker 4: So I'm curious what you think. 501 00:23:38,560 --> 00:23:41,280 Speaker 2: Ryan the closest she ever got to that. I don't 502 00:23:41,320 --> 00:23:43,320 Speaker 2: know if you saw this interview she did with Stephen 503 00:23:43,359 --> 00:23:46,520 Speaker 2: Colbert where he said that was also last night. 504 00:23:46,600 --> 00:23:47,679 Speaker 3: Yeah, well this was a. 505 00:23:47,640 --> 00:23:50,080 Speaker 2: Couple of years ago, Like back in twenty twenty, after 506 00:23:50,080 --> 00:23:51,160 Speaker 2: she was named vice president. 507 00:23:51,520 --> 00:23:53,439 Speaker 3: You know, he had her on and she said, well, 508 00:23:53,480 --> 00:23:54,719 Speaker 3: you're vice president. 509 00:23:54,760 --> 00:23:57,880 Speaker 2: You basically called this guy a segregationist a couple months ago. 510 00:23:58,040 --> 00:24:00,119 Speaker 3: Yes, that's right. And she laughed and she said that 511 00:24:00,240 --> 00:24:00,760 Speaker 3: was a debate. 512 00:24:00,880 --> 00:24:02,359 Speaker 4: Oh, that's right. That's why I remember that. 513 00:24:02,720 --> 00:24:06,439 Speaker 2: And the premise, the unspoken premise of that answer is 514 00:24:07,160 --> 00:24:09,359 Speaker 2: it was a game. I was points scoring. I was 515 00:24:09,400 --> 00:24:12,560 Speaker 2: just trying to get ahead in a political contest. So 516 00:24:13,000 --> 00:24:15,320 Speaker 2: that's what she has to try to get across to 517 00:24:15,359 --> 00:24:18,600 Speaker 2: make your point without sounding like the most cynical person ever. 518 00:24:19,040 --> 00:24:22,440 Speaker 2: But Tim Walls answered it the best when I was like, well, 519 00:24:22,480 --> 00:24:25,159 Speaker 2: you used to be for assault weapons, now you're against them. 520 00:24:25,200 --> 00:24:27,920 Speaker 2: How did that happen while I sat with the victims 521 00:24:27,720 --> 00:24:30,600 Speaker 2: of Santa Sandy Hook shooting, which means changed. 522 00:24:30,720 --> 00:24:32,800 Speaker 4: Another way of saying that is I had new information. 523 00:24:32,880 --> 00:24:33,760 Speaker 3: I had new information. 524 00:24:34,080 --> 00:24:34,320 Speaker 4: Okay. 525 00:24:34,400 --> 00:24:37,240 Speaker 2: So I think she could get away with a version 526 00:24:37,240 --> 00:24:41,240 Speaker 2: of that answer if she said, look, I was running 527 00:24:41,240 --> 00:24:45,280 Speaker 2: as a Democratic candidate for the nomination in twenty twenty. 528 00:24:45,359 --> 00:24:48,760 Speaker 2: That was before I was president and or a vice president. 529 00:24:49,520 --> 00:24:55,679 Speaker 2: And I've now seen the difficulty of governing, and so 530 00:24:55,760 --> 00:24:59,000 Speaker 2: now I understand that some of that stuff, while it 531 00:24:59,119 --> 00:25:01,399 Speaker 2: might be amazing and wonderful, we're just not going to 532 00:25:01,440 --> 00:25:04,000 Speaker 2: be able to get it done. But I'd still love 533 00:25:04,080 --> 00:25:06,960 Speaker 2: to see it in a world where it was possible. 534 00:25:07,840 --> 00:25:11,400 Speaker 2: But then she's stuck again because well that doesn't answer 535 00:25:11,400 --> 00:25:12,280 Speaker 2: your immigration question. 536 00:25:12,280 --> 00:25:13,960 Speaker 3: How'd you go from because that is. 537 00:25:13,960 --> 00:25:17,040 Speaker 2: A world of possible, that's executive orders, that's executive action. 538 00:25:18,040 --> 00:25:21,000 Speaker 2: So yeah, I mean she got to Look, I'm a politician. 539 00:25:21,000 --> 00:25:21,960 Speaker 2: I just want to be president. 540 00:25:22,400 --> 00:25:25,280 Speaker 1: And we all know this. Speaking of word salad. We 541 00:25:25,359 --> 00:25:27,479 Speaker 1: saw this also on how are you going to avoid 542 00:25:27,520 --> 00:25:28,640 Speaker 1: an all out regional war? 543 00:25:28,840 --> 00:25:30,000 Speaker 3: Let's take a lesson. 544 00:25:30,040 --> 00:25:32,919 Speaker 9: The events of the past few weeks have pushed us 545 00:25:32,960 --> 00:25:37,280 Speaker 9: to the brink, if not into an all out regional 546 00:25:37,320 --> 00:25:41,720 Speaker 9: war in the Middle East. What can the US do 547 00:25:41,920 --> 00:25:45,600 Speaker 9: at this point to stop this from spinning out of control? 548 00:25:46,160 --> 00:25:51,560 Speaker 10: Well, let's start with October seven. Twelve hundred people were massacred. 549 00:25:52,200 --> 00:25:56,760 Speaker 10: Two hundred and fifty hostages were taken, including Americans. Women 550 00:25:56,840 --> 00:26:02,200 Speaker 10: were brutally raped. And as I said, then, I maintain 551 00:26:02,400 --> 00:26:06,320 Speaker 10: Israel has a right to defend itself. We would and 552 00:26:06,359 --> 00:26:09,640 Speaker 10: how it does so matters. Far too many innocent Palestinians 553 00:26:09,640 --> 00:26:11,480 Speaker 10: have been killed. This war has to. 554 00:26:11,480 --> 00:26:15,399 Speaker 1: End, Okay, So what does that mean exactly? How are 555 00:26:15,400 --> 00:26:17,960 Speaker 1: you going to remember the question? How are you going 556 00:26:18,000 --> 00:26:21,280 Speaker 1: to avoid nuclear war? October seventh was really bad? Well, 557 00:26:21,320 --> 00:26:22,840 Speaker 1: that wasn't the question. 558 00:26:22,640 --> 00:26:23,520 Speaker 6: That you were asked. 559 00:26:23,800 --> 00:26:25,800 Speaker 1: You were asked about how are you going to prevent 560 00:26:26,040 --> 00:26:29,400 Speaker 1: a nuclear war? And then eventually, oh, the war has 561 00:26:29,440 --> 00:26:31,480 Speaker 1: to end. But when you say, and you lead with 562 00:26:31,520 --> 00:26:34,200 Speaker 1: but October seventh was so horrible, what are you saying? 563 00:26:34,240 --> 00:26:35,240 Speaker 4: You're like, well, maybe I do. 564 00:26:35,200 --> 00:26:37,160 Speaker 1: Support a little bit of a regional war. And there's 565 00:26:37,359 --> 00:26:39,000 Speaker 1: an answer that we're going to get to in a 566 00:26:39,000 --> 00:26:41,080 Speaker 1: little bit. It deserves its own block about who she 567 00:26:41,119 --> 00:26:43,960 Speaker 1: thinks in America's greatest adversary is where maybe she does. 568 00:26:44,040 --> 00:26:46,560 Speaker 1: Maybe she's just being authentic and honest. She's like, yeah, 569 00:26:46,600 --> 00:26:48,320 Speaker 1: I think a war with Iran is a good thing. 570 00:26:49,000 --> 00:26:52,960 Speaker 2: She has this segment memorized very clearly, like should we 571 00:26:53,000 --> 00:26:57,840 Speaker 2: have heard her say this line of precise words so 572 00:26:58,000 --> 00:27:00,320 Speaker 2: many times in the month that she's been running, Like 573 00:27:00,359 --> 00:27:02,520 Speaker 2: I can almost recite it at this point. 574 00:27:02,520 --> 00:27:04,640 Speaker 3: Now, let's start with October seventh. 575 00:27:05,240 --> 00:27:09,240 Speaker 2: Twelve hundred people massacre, two hundred and fifty people taking hostage, 576 00:27:09,280 --> 00:27:11,480 Speaker 2: including Americans, brutally raped. 577 00:27:11,960 --> 00:27:16,240 Speaker 3: It's always quote brutally raped. And Israel has a right 578 00:27:16,320 --> 00:27:19,560 Speaker 3: to defend itself. We would defend ourselves. 579 00:27:20,200 --> 00:27:22,600 Speaker 2: I said it, then I'll say it again, and then 580 00:27:22,600 --> 00:27:25,520 Speaker 2: she does her pivot where her advisors are like, you 581 00:27:25,600 --> 00:27:28,600 Speaker 2: have to now give something to the side of the 582 00:27:28,600 --> 00:27:31,440 Speaker 2: people who think that this is horrific, and so then 583 00:27:31,480 --> 00:27:34,760 Speaker 2: she says, but how it does so matter? Yes, and 584 00:27:34,800 --> 00:27:38,679 Speaker 2: then she adds, far too many innocent Palestinians have been killed. 585 00:27:39,040 --> 00:27:42,800 Speaker 2: And then finally another non sequitor, this war has to end, 586 00:27:42,920 --> 00:27:46,240 Speaker 2: as if it's just going to end on its own, 587 00:27:46,400 --> 00:27:48,800 Speaker 2: or yeah, who's going to just decide to end it 588 00:27:48,840 --> 00:27:49,359 Speaker 2: at some point? 589 00:27:49,880 --> 00:27:50,960 Speaker 3: Going what's going on here? 590 00:27:51,000 --> 00:27:53,439 Speaker 2: I think is that the reason that Israel has no 591 00:27:53,720 --> 00:27:56,560 Speaker 2: day after plan is that they have never had to 592 00:27:56,720 --> 00:27:59,040 Speaker 2: have one. They've always just pushed as far as they 593 00:27:59,080 --> 00:28:02,320 Speaker 2: possibly can. And then the Americans tug the leash and say, 594 00:28:02,359 --> 00:28:05,879 Speaker 2: okay that Biden picks up the phone, Reagan picks up 595 00:28:05,920 --> 00:28:08,359 Speaker 2: the phone, whoever, and says it's over. 596 00:28:08,680 --> 00:28:09,399 Speaker 3: This is done. 597 00:28:10,880 --> 00:28:14,720 Speaker 2: You see ceasefire, We're moving on, and so Israel waiting 598 00:28:14,760 --> 00:28:17,320 Speaker 2: for that to happen, and it's just not happening. So 599 00:28:17,359 --> 00:28:19,880 Speaker 2: they're like, as long as you keep filling up our 600 00:28:20,000 --> 00:28:22,359 Speaker 2: AMMO dumps, we're going to keep unleashing that, right. 601 00:28:22,240 --> 00:28:25,320 Speaker 1: And then just again on the look, We'll just continue 602 00:28:25,520 --> 00:28:28,040 Speaker 1: in this because I just think in every single one 603 00:28:28,080 --> 00:28:30,400 Speaker 1: of these it is so calibrated. 604 00:28:30,480 --> 00:28:31,840 Speaker 4: And this isn't about me. 605 00:28:32,040 --> 00:28:33,800 Speaker 1: This is about the fact that there is a lot 606 00:28:33,840 --> 00:28:36,880 Speaker 1: of dreams of polling data. That's still the number one 607 00:28:36,920 --> 00:28:39,040 Speaker 1: hang up that people have about Kama Love. They're like, yeah, 608 00:28:39,040 --> 00:28:40,959 Speaker 1: I think you did better in the debate, but what 609 00:28:41,000 --> 00:28:42,520 Speaker 1: do you really stand for? 610 00:28:42,600 --> 00:28:44,520 Speaker 4: What are you going to do? Do you? Are you 611 00:28:44,560 --> 00:28:46,800 Speaker 4: a shape shifter? Are you a chameleon? 612 00:28:46,880 --> 00:28:49,840 Speaker 1: There are actually a sizeable part of the electorate believes 613 00:28:49,840 --> 00:28:52,520 Speaker 1: that she is too liberal compared to Trump being quote 614 00:28:52,720 --> 00:28:56,120 Speaker 1: too conservative, and on the issue of the border, that's 615 00:28:56,160 --> 00:28:59,440 Speaker 1: perhaps no more where she is least less out of 616 00:28:59,440 --> 00:29:03,160 Speaker 1: step with the overall American public. So here she is 617 00:29:03,240 --> 00:29:06,520 Speaker 1: now being pressed on a lot of immigration flip flops 618 00:29:06,560 --> 00:29:07,440 Speaker 1: by this administration. 619 00:29:07,720 --> 00:29:08,520 Speaker 4: Let's take a lesson. 620 00:29:08,680 --> 00:29:13,640 Speaker 9: You recently visited the southern border and embraced President Biden's 621 00:29:14,160 --> 00:29:19,200 Speaker 9: recent crackdown on asylum seekers, and that crackdown produced an 622 00:29:19,200 --> 00:29:25,240 Speaker 9: almost immediate and dramatic decrease in the number of border crossings. 623 00:29:25,440 --> 00:29:30,480 Speaker 9: If that's the right answer, now, why didn't your administration 624 00:29:30,600 --> 00:29:32,840 Speaker 9: take those steps? In twenty twenty one. 625 00:29:33,480 --> 00:29:36,280 Speaker 10: The first bill we've proposed to Congress was to fix 626 00:29:36,320 --> 00:29:40,479 Speaker 10: our broken immigration system. Knowing that if you want to 627 00:29:40,760 --> 00:29:44,960 Speaker 10: actually fix it, we need Congress to act, it was 628 00:29:45,000 --> 00:29:49,280 Speaker 10: not taken up. Fast forward to a moment when a 629 00:29:49,640 --> 00:29:53,600 Speaker 10: bipartisan group of members of the United States Senate, including 630 00:29:53,600 --> 00:29:55,840 Speaker 10: one of the most conservative members of the United States Senate, 631 00:29:55,920 --> 00:29:59,360 Speaker 10: got together came up with a border security bill. Well, 632 00:29:59,360 --> 00:30:02,760 Speaker 10: guess what happened. Donald Trump got word that this bill 633 00:30:03,440 --> 00:30:06,720 Speaker 10: was afoot and could be passed, and he wants to 634 00:30:06,800 --> 00:30:09,280 Speaker 10: run on a problem instead of fixing a problem. So 635 00:30:09,320 --> 00:30:12,480 Speaker 10: he told his buddies in Congress, kill the bill, don't 636 00:30:12,520 --> 00:30:13,360 Speaker 10: let it move forward. 637 00:30:13,400 --> 00:30:17,160 Speaker 9: But I've been covering the border for years, and so 638 00:30:17,280 --> 00:30:20,080 Speaker 9: I know this is not a problem that started with 639 00:30:20,240 --> 00:30:27,240 Speaker 9: your administration, correct, But there was an historic flood of 640 00:30:27,520 --> 00:30:30,880 Speaker 9: undocumented immigrants coming across the border the first three years 641 00:30:31,560 --> 00:30:35,320 Speaker 9: of your administration. As a matter of fact, arrivals quadrupled 642 00:30:36,040 --> 00:30:40,120 Speaker 9: from the last year of President Trump. Was it a 643 00:30:40,160 --> 00:30:46,080 Speaker 9: mistake to loosen the immigration policies as much as you did. 644 00:30:46,280 --> 00:30:51,160 Speaker 10: It's a long standing problem and solutions are at hand, 645 00:30:51,280 --> 00:30:56,120 Speaker 10: and from day one, literally we have been offering solutions. 646 00:30:56,400 --> 00:30:59,120 Speaker 9: What I was asking was, was it a mistake to 647 00:31:00,360 --> 00:31:03,720 Speaker 9: kind of allow that flood to happen in the first place. 648 00:31:03,760 --> 00:31:08,400 Speaker 10: I think the policies that we have been proposing are 649 00:31:08,440 --> 00:31:10,960 Speaker 10: about fixing a problem, not promoting a problem. 650 00:31:11,360 --> 00:31:14,160 Speaker 9: Okay, but the numbers did quadruple, and. 651 00:31:14,120 --> 00:31:17,760 Speaker 10: The numbers today because of what we have done, we 652 00:31:17,840 --> 00:31:22,120 Speaker 10: have cut the flow of illegal immigration by half, which 653 00:31:22,400 --> 00:31:26,120 Speaker 10: we have cut the flow of fentanel by half. But 654 00:31:26,240 --> 00:31:31,440 Speaker 10: we need Congress to be able to act to actually 655 00:31:31,480 --> 00:31:32,480 Speaker 10: fix the problem. 656 00:31:32,760 --> 00:31:36,600 Speaker 1: See I love that clip because anytime he talks about 657 00:31:36,840 --> 00:31:43,280 Speaker 1: any executive action it's a longstanding problem. Then anytime that 658 00:31:43,320 --> 00:31:46,720 Speaker 1: there has been a reduction as a result of reverse 659 00:31:47,080 --> 00:31:51,080 Speaker 1: of previous executive action, then you're taking credit for it. Well, 660 00:31:51,080 --> 00:31:53,240 Speaker 1: which one is it? You know, what is the causal 661 00:31:53,600 --> 00:31:56,640 Speaker 1: link between all of that? And again what I come 662 00:31:56,720 --> 00:31:59,080 Speaker 1: through with a lot of that, and I care a 663 00:31:59,120 --> 00:32:01,800 Speaker 1: lot about the border istion and immigration, et cetera. So 664 00:32:01,960 --> 00:32:03,760 Speaker 1: I am trying to take my hat off and look 665 00:32:03,760 --> 00:32:07,080 Speaker 1: at this from the swing state voter, somebody who is 666 00:32:07,120 --> 00:32:08,800 Speaker 1: looking at this issue and like, hey, how are you 667 00:32:08,800 --> 00:32:11,560 Speaker 1: thinking about this? I don't think there's a coherence to this. 668 00:32:11,640 --> 00:32:11,760 Speaker 6: Now. 669 00:32:11,760 --> 00:32:15,200 Speaker 1: Everyone be like, oh, but Trump, there's no coherence now. Actually, though, 670 00:32:15,240 --> 00:32:17,480 Speaker 1: if you look in the rambling and all that there 671 00:32:17,560 --> 00:32:19,280 Speaker 1: is a pretty consistent through line about what. 672 00:32:19,240 --> 00:32:21,120 Speaker 3: Donald trum immigration about immigration. 673 00:32:21,200 --> 00:32:24,040 Speaker 1: Yeah, other issues I think are not fairly criticized, but 674 00:32:24,120 --> 00:32:26,080 Speaker 1: on that, you know, and that one cares people care 675 00:32:26,120 --> 00:32:28,080 Speaker 1: a lot about. I don't see that in this at all. 676 00:32:28,120 --> 00:32:30,440 Speaker 1: It's just a complete muddle. And actually think that's the 677 00:32:30,480 --> 00:32:32,400 Speaker 1: through line of all three of these things that we 678 00:32:32,520 --> 00:32:34,120 Speaker 1: just took a look at it. It's like, what do 679 00:32:34,160 --> 00:32:37,280 Speaker 1: you actually believe? What are you going to do? And 680 00:32:37,360 --> 00:32:38,840 Speaker 1: in every single one it was. 681 00:32:38,760 --> 00:32:42,200 Speaker 2: A flub and this one she's just completely screwed by 682 00:32:42,240 --> 00:32:45,080 Speaker 2: the trajectory of the Democratic Party over the last five years, 683 00:32:45,280 --> 00:32:48,800 Speaker 2: there's probably been no issue on which they have swung 684 00:32:48,880 --> 00:32:52,640 Speaker 2: this musk exactly. In the twenty and twenty tens, they 685 00:32:52,640 --> 00:32:56,880 Speaker 2: were actually fairly tough on immigration. They like they torpedoed 686 00:32:56,880 --> 00:32:59,720 Speaker 2: for politically they were, but they also torpedoed for political 687 00:32:59,720 --> 00:33:02,560 Speaker 2: reason as a comprehensive bill because they wanted to like 688 00:33:03,160 --> 00:33:07,280 Speaker 2: make Republicans out to be the party of nativists. Obama 689 00:33:08,040 --> 00:33:11,840 Speaker 2: was dubbed the deporter in chief by immigration groups. He 690 00:33:12,120 --> 00:33:15,520 Speaker 2: Obama had kids in cages in twenty fourteen, twenty fifteen, 691 00:33:15,520 --> 00:33:19,120 Speaker 2: and twenty sixteen, like this was not an open border, 692 00:33:19,200 --> 00:33:23,480 Speaker 2: humane immigration policy coming from Obama. Then Trump comes in 693 00:33:23,720 --> 00:33:27,240 Speaker 2: with his nativist rhetoric and Stephen Miller and all these guys. 694 00:33:27,320 --> 00:33:31,880 Speaker 2: So they so Democrats then all of a sudden put 695 00:33:31,960 --> 00:33:35,360 Speaker 2: up signs, you know, in every front yard across America 696 00:33:35,360 --> 00:33:38,080 Speaker 2: that says, you know, immigrants are welcome and that you 697 00:33:38,120 --> 00:33:40,680 Speaker 2: know this, that were a nation of immigrants. And so 698 00:33:41,160 --> 00:33:44,480 Speaker 2: they went from fairly moderate to pretty far to the 699 00:33:44,560 --> 00:33:49,320 Speaker 2: left historically speaking for Democrats. And then the second that 700 00:33:49,400 --> 00:33:52,560 Speaker 2: Biden gets into office and you have Title forty two 701 00:33:52,600 --> 00:33:54,800 Speaker 2: and you have the end of the kind of COVID 702 00:33:54,800 --> 00:33:59,120 Speaker 2: era policies, and you have surge at the border. They 703 00:33:59,600 --> 00:34:02,000 Speaker 2: when that becomes a political problem, they swing way to 704 00:34:02,040 --> 00:34:07,040 Speaker 2: the right. So you're asking asking any politician to defend 705 00:34:07,080 --> 00:34:12,719 Speaker 2: that whiplash from you know, center to left to right 706 00:34:13,360 --> 00:34:15,400 Speaker 2: is going to be impossible when you have kind of 707 00:34:15,960 --> 00:34:20,040 Speaker 2: executive action at your fingertips that not only can you take. 708 00:34:19,880 --> 00:34:20,600 Speaker 3: But you did take. 709 00:34:20,920 --> 00:34:23,520 Speaker 2: So if they had never swung to the right on immigration, 710 00:34:24,160 --> 00:34:25,839 Speaker 2: she would have a much better answer for that question. 711 00:34:26,360 --> 00:34:29,960 Speaker 2: We're consistently we support we're pro immigrant, like we believe 712 00:34:30,080 --> 00:34:32,640 Speaker 2: that we are a nation of immigrants and that immigrants 713 00:34:32,680 --> 00:34:36,680 Speaker 2: strengthen our country. Democrats decided they're not going to be 714 00:34:36,800 --> 00:34:42,120 Speaker 2: that party. And when they abandon it, Democrats as a 715 00:34:42,320 --> 00:34:46,160 Speaker 2: voting block, as a as a public also abandon it. 716 00:34:46,440 --> 00:34:48,680 Speaker 2: And so now support for immigrants is that like twenty 717 00:34:48,680 --> 00:34:49,520 Speaker 2: percent or something. 718 00:34:49,640 --> 00:34:50,440 Speaker 4: So I don't know. 719 00:34:50,920 --> 00:34:53,719 Speaker 1: I know this is a convenient leftist narrative, but I 720 00:34:53,800 --> 00:34:56,560 Speaker 1: still think there's a reality issue. You know, have tens 721 00:34:56,560 --> 00:35:00,000 Speaker 1: of millions more people who are here illegally under that administration. 722 00:35:00,080 --> 00:35:02,239 Speaker 1: In the reality people woke up and this whole like, 723 00:35:02,719 --> 00:35:04,839 Speaker 1: it's not about the philosophy of immigrants, like, well, what 724 00:35:04,920 --> 00:35:08,640 Speaker 1: type to what system people want to order? The disorder 725 00:35:08,680 --> 00:35:10,360 Speaker 1: of it is, frankly, what changed. 726 00:35:10,080 --> 00:35:12,279 Speaker 4: The status quo? The real problem far more than any 727 00:35:12,360 --> 00:35:13,160 Speaker 4: change in position. 728 00:35:13,280 --> 00:35:14,799 Speaker 3: And maybe we agree with this, I don't know. 729 00:35:14,840 --> 00:35:17,120 Speaker 2: The real problem here was the end of the guest 730 00:35:17,120 --> 00:35:19,400 Speaker 2: worker program, Like I don't agree with that. 731 00:35:19,440 --> 00:35:20,839 Speaker 3: What the can take you now? 732 00:35:21,000 --> 00:35:21,399 Speaker 6: You need? 733 00:35:21,920 --> 00:35:26,520 Speaker 2: We don't have enough American workers, especially like to do 734 00:35:26,560 --> 00:35:28,960 Speaker 2: all the rebuilding that's going to be necessary in Tennessee, 735 00:35:28,960 --> 00:35:32,480 Speaker 2: in North Carolina and Florida. In the eighties, we ended 736 00:35:32,480 --> 00:35:36,160 Speaker 2: our guest worker programs. We had this idea that people 737 00:35:37,360 --> 00:35:39,520 Speaker 2: all everyone in the world just wants to live here, 738 00:35:40,200 --> 00:35:42,040 Speaker 2: and that they don't actually want to live in Mexico 739 00:35:42,120 --> 00:35:44,880 Speaker 2: or El Salvador, Nicaragua or wherever they're from. But in 740 00:35:44,920 --> 00:35:48,000 Speaker 2: fact their actual preference is if they could come here 741 00:35:48,040 --> 00:35:50,640 Speaker 2: for four or five months, make enough money to send 742 00:35:50,680 --> 00:35:52,319 Speaker 2: back to their family, and then go home to their 743 00:35:52,320 --> 00:35:55,680 Speaker 2: families and live where they're from. That's actually their preference. 744 00:35:56,040 --> 00:35:59,280 Speaker 2: A well regulated guest worker program where people are protected, 745 00:35:59,480 --> 00:36:04,960 Speaker 2: given labor protections, treated fairly, but able to come and go, 746 00:36:06,719 --> 00:36:08,919 Speaker 2: creates a much more rational system in a world where 747 00:36:08,920 --> 00:36:11,319 Speaker 2: you have this much inequality between two different countries. When 748 00:36:11,360 --> 00:36:13,200 Speaker 2: you build a wall and you say you can no 749 00:36:13,280 --> 00:36:16,040 Speaker 2: longer go back home, then they send for their families, 750 00:36:16,160 --> 00:36:17,239 Speaker 2: Well then you get what we've got. 751 00:36:17,320 --> 00:36:19,560 Speaker 1: But ryan presumptive and all of this is a very 752 00:36:19,640 --> 00:36:21,640 Speaker 1: very low wage, and that's part of the issue. Look, 753 00:36:21,800 --> 00:36:24,359 Speaker 1: we can't get into this debate because we got our election. 754 00:36:24,120 --> 00:36:26,640 Speaker 3: Forecaster logan prices to being affordable. 755 00:36:27,360 --> 00:36:27,960 Speaker 4: Yes, I do. 756 00:36:28,080 --> 00:36:30,560 Speaker 1: I also want people to be able to pay get 757 00:36:30,640 --> 00:36:32,920 Speaker 1: paid who are American citizens. It's a good wage if 758 00:36:32,960 --> 00:36:35,880 Speaker 1: you're an El Salvador. But I don't care about El Salvador. 759 00:36:35,880 --> 00:36:38,120 Speaker 1: El Salvador's problems and wages are its own problems. And 760 00:36:38,160 --> 00:36:39,480 Speaker 1: by the way, they fix a lot of those problems 761 00:36:39,520 --> 00:36:42,160 Speaker 1: by locking up every single one of their gang members. 762 00:36:42,160 --> 00:36:44,560 Speaker 4: But that's a separate issue. Like I said, our election 763 00:36:44,640 --> 00:36:45,439 Speaker 4: forecasters here. 764 00:36:45,360 --> 00:36:47,600 Speaker 1: Otherwise we would go out of the next thirty minutes, 765 00:36:47,640 --> 00:36:48,280 Speaker 1: Logan Phillips. 766 00:36:48,360 --> 00:36:49,200 Speaker 4: Let's get them in here. 767 00:36:51,960 --> 00:36:54,359 Speaker 1: Very excited to be joined now by Logan Phillips, our 768 00:36:54,400 --> 00:36:57,560 Speaker 1: partner here race to the White House for election forecast. 769 00:36:57,680 --> 00:36:59,480 Speaker 1: As a reminder, some of this will be behind the 770 00:36:59,520 --> 00:37:02,640 Speaker 1: paywall up until later, so Breakingpoints dot Com you can 771 00:37:02,640 --> 00:37:05,440 Speaker 1: take advantage with BP twenty twenty four if you want 772 00:37:05,520 --> 00:37:09,120 Speaker 1: that discount. But let's start with something that really caught 773 00:37:09,120 --> 00:37:12,600 Speaker 1: our attention here. Logan, which is poly Market, the largest 774 00:37:12,600 --> 00:37:17,640 Speaker 1: betting place for the election, saw a significant swing in 775 00:37:17,880 --> 00:37:20,480 Speaker 1: odds towards Donald Trump yesterday. Let's put that up on 776 00:37:20,520 --> 00:37:23,839 Speaker 1: the screen. Trump as of yesterday was leading some eight 777 00:37:23,880 --> 00:37:27,000 Speaker 1: point six percent in the odds. That was actually his 778 00:37:27,120 --> 00:37:30,680 Speaker 1: biggest lead since Kamala Harris entered the race. I want 779 00:37:30,680 --> 00:37:32,520 Speaker 1: to ask you to appine on betting, and we are 780 00:37:32,560 --> 00:37:35,680 Speaker 1: not giving any financial advice here on the show. How 781 00:37:35,719 --> 00:37:40,360 Speaker 1: does that comport with your forecast is at overly Rosie. 782 00:37:40,400 --> 00:37:41,279 Speaker 4: How do you look at it? 783 00:37:41,400 --> 00:37:43,160 Speaker 12: Well, a few years ago people were saying that maybe 784 00:37:43,160 --> 00:37:45,040 Speaker 12: this is going to be the most predictive way to 785 00:37:45,400 --> 00:37:47,520 Speaker 12: understand what's going to happen in elections, because you know, 786 00:37:47,520 --> 00:37:48,840 Speaker 12: people are going to care a lot about where they 787 00:37:48,880 --> 00:37:50,879 Speaker 12: put their money. Yes, I think twenty twenty two prove 788 00:37:50,960 --> 00:37:53,480 Speaker 12: that's not necessarily the case. I think what it shows 789 00:37:53,560 --> 00:37:56,040 Speaker 12: is what the people that choose to bet on politics 790 00:37:56,680 --> 00:37:57,800 Speaker 12: will think about the election. 791 00:37:57,960 --> 00:37:58,600 Speaker 4: Oh I like that. 792 00:37:58,840 --> 00:38:00,960 Speaker 12: Yeah, And the problem is for us to say exactly 793 00:38:01,000 --> 00:38:03,200 Speaker 12: who that's going to be. I think it tends to 794 00:38:03,320 --> 00:38:07,239 Speaker 12: lean right, specifically college educated right, more establishment. So you're 795 00:38:07,280 --> 00:38:09,799 Speaker 12: going to see way higher odds from Rod DeSantis than 796 00:38:09,840 --> 00:38:11,640 Speaker 12: made sense back in the GOP primary. 797 00:38:11,760 --> 00:38:13,960 Speaker 4: Oh interesting, I didn't know that, Okay. 798 00:38:13,760 --> 00:38:15,319 Speaker 6: And higher odds for Republicans. 799 00:38:15,360 --> 00:38:17,360 Speaker 2: Now, has anybody pulled that because you could that's an 800 00:38:17,400 --> 00:38:18,360 Speaker 2: answerable question. 801 00:38:18,560 --> 00:38:20,480 Speaker 4: Well, you're the problem here is he's all crypto. 802 00:38:20,600 --> 00:38:23,400 Speaker 1: So it's like going to I mean, listen, Polypark is 803 00:38:23,400 --> 00:38:25,960 Speaker 1: not illegal technically in America, so you know you need 804 00:38:26,000 --> 00:38:26,440 Speaker 1: a VPM. 805 00:38:26,480 --> 00:38:27,839 Speaker 4: I'm not going to get any instructions, but. 806 00:38:27,960 --> 00:38:30,080 Speaker 1: Just in terms of the way that it all gets done, 807 00:38:30,200 --> 00:38:33,200 Speaker 1: it's not all that easy for the general public. But 808 00:38:33,239 --> 00:38:35,919 Speaker 1: that's a really interesting point. Can you talk more about 809 00:38:35,920 --> 00:38:38,279 Speaker 1: twenty twenty two. What were some of the observations you 810 00:38:38,280 --> 00:38:38,920 Speaker 1: saw ahead of that. 811 00:38:39,040 --> 00:38:40,960 Speaker 12: Yeah, so going into twenty twenty two, the odds that 812 00:38:41,000 --> 00:38:43,080 Speaker 12: this might have something too it seems higher. But if 813 00:38:43,120 --> 00:38:45,120 Speaker 12: all the polls are missing to the left, that means 814 00:38:45,160 --> 00:38:46,840 Speaker 12: anything that's missing to the right is going to be 815 00:38:46,840 --> 00:38:47,480 Speaker 12: look better. 816 00:38:47,320 --> 00:38:49,000 Speaker 6: Than it might actually be as an indicator. 817 00:38:49,480 --> 00:38:52,600 Speaker 12: So in twenty twenty two, they have the narrative overrated 818 00:38:52,640 --> 00:38:53,279 Speaker 12: Republicans and. 819 00:38:53,280 --> 00:38:54,919 Speaker 6: They overrated them significantly more. 820 00:38:55,200 --> 00:38:59,160 Speaker 12: And so all of these rate senate races, people thought 821 00:38:59,320 --> 00:39:01,040 Speaker 12: they on their thought probablyns were going to win that 822 00:39:01,080 --> 00:39:03,600 Speaker 12: they didn't win, right, and it just showed, Yeah, this 823 00:39:03,640 --> 00:39:04,600 Speaker 12: is an imperfect measure. 824 00:39:04,760 --> 00:39:07,400 Speaker 1: That's a great that's a fantastic point, especially with the 825 00:39:07,400 --> 00:39:11,719 Speaker 1: more recency of political betting markets and this one and too. 826 00:39:11,760 --> 00:39:14,200 Speaker 1: And we shouldn't forget. You know, it's a billion dollar market, 827 00:39:14,360 --> 00:39:15,759 Speaker 1: so it sounds like a lot. It's actually not that 828 00:39:15,840 --> 00:39:18,719 Speaker 1: big if you think about the stock market anything else 829 00:39:18,760 --> 00:39:21,279 Speaker 1: with corrective forces, and everybody knows even though those are 830 00:39:21,320 --> 00:39:23,319 Speaker 1: not all that accurate. Let's go to the next one 831 00:39:23,440 --> 00:39:26,600 Speaker 1: because that was on Pennsylvania. This was another one where 832 00:39:26,680 --> 00:39:29,400 Speaker 1: I wanted your input. They're showing a fifty six forty 833 00:39:29,400 --> 00:39:33,240 Speaker 1: four spread towards Donald Trump in the state of Pennsylvania. 834 00:39:33,920 --> 00:39:37,000 Speaker 1: Points when Yeah, in the betting market. So just from 835 00:39:37,000 --> 00:39:39,640 Speaker 1: a polling level, where does Pennsylvania actually stand right. 836 00:39:39,560 --> 00:39:43,360 Speaker 12: Now, it's lightly favoring Harris, I would say about sixty 837 00:39:43,400 --> 00:39:46,200 Speaker 12: percent chants in my model most about the same. There 838 00:39:46,200 --> 00:39:48,200 Speaker 12: definitely wasn't anything in the last week. I think in 839 00:39:48,280 --> 00:39:50,640 Speaker 12: my model, the polls got a little better. I've added 840 00:39:50,640 --> 00:39:51,600 Speaker 12: the New York Time ones. 841 00:39:51,680 --> 00:39:52,720 Speaker 3: Yeah, better for Harris. 842 00:39:53,080 --> 00:39:55,040 Speaker 12: No, they got a little better for Trump for post 843 00:39:55,040 --> 00:39:57,080 Speaker 12: debate thing faded. But we're talking to my model at 844 00:39:57,120 --> 00:39:59,400 Speaker 12: least from like, oh, Harris had a fifty nine to 845 00:39:59,440 --> 00:40:01,720 Speaker 12: sixty percent chance to win, now it's fifty seven. 846 00:40:02,200 --> 00:40:03,560 Speaker 6: So that's a very small reduction. 847 00:40:03,680 --> 00:40:06,880 Speaker 1: Yeah, it's very very small. You just mentioned there the 848 00:40:07,400 --> 00:40:09,920 Speaker 1: New York Times polls. It just came out this morning, 849 00:40:10,080 --> 00:40:12,160 Speaker 1: and perhaps will delve into a little bit more about, 850 00:40:12,200 --> 00:40:14,360 Speaker 1: you know, just to get your general analysis. I think 851 00:40:14,840 --> 00:40:19,400 Speaker 1: what we have from them is likely voters. They show 852 00:40:19,800 --> 00:40:23,800 Speaker 1: Kamala with forty nine percent, Donald Trump at forty six percent. 853 00:40:23,880 --> 00:40:26,640 Speaker 1: This is likely voters at the national level. Is that 854 00:40:26,880 --> 00:40:30,239 Speaker 1: enough of a national popular vote lead to be able 855 00:40:30,280 --> 00:40:32,439 Speaker 1: to win the election, because you can win the popular vote, 856 00:40:32,440 --> 00:40:34,719 Speaker 1: as we all know, and still lose the electoral college. 857 00:40:34,760 --> 00:40:36,680 Speaker 12: Well, I was just reading Nick Cohen's result in my 858 00:40:37,000 --> 00:40:39,480 Speaker 12: uber over here this okay thing, and you know, he 859 00:40:39,560 --> 00:40:41,560 Speaker 12: makes the argument, which I tend to agree with, that 860 00:40:42,040 --> 00:40:45,520 Speaker 12: the poll suggests Harris is underperforming a bit in some 861 00:40:45,560 --> 00:40:48,440 Speaker 12: of the blue states like New York, perhaps is underperforming 862 00:40:48,480 --> 00:40:50,480 Speaker 12: in Florida as well. At least that's what their poll show, 863 00:40:50,520 --> 00:40:53,120 Speaker 12: even though others don'teah, And so she might have an 864 00:40:53,160 --> 00:40:56,680 Speaker 12: electoral college advantage because she appears, as Democrats did, to 865 00:40:56,719 --> 00:41:00,640 Speaker 12: be gaining in places like North Carolina Pennsylvania, at least a. 866 00:41:00,640 --> 00:41:02,319 Speaker 6: Relative to where the popular vote was. 867 00:41:02,440 --> 00:41:02,720 Speaker 3: Yeah. 868 00:41:02,800 --> 00:41:04,600 Speaker 12: So, I mean we saw that in twenty twenty two. 869 00:41:04,960 --> 00:41:08,759 Speaker 12: If you had the popular vote tied like as Democrats 870 00:41:08,760 --> 00:41:11,239 Speaker 12: doing slightly better, and you just look at the House vote, 871 00:41:11,239 --> 00:41:13,600 Speaker 12: they would have won enough to easily win the electoral college. 872 00:41:13,800 --> 00:41:18,480 Speaker 12: I believe that would have even included North Carolina, Arizona, Pennsylvania, Michigan, Wisconsin, Nevada. Now, yeah, 873 00:41:18,560 --> 00:41:20,640 Speaker 12: doesn't appears strong this cycle as it did in twenty 874 00:41:20,680 --> 00:41:23,120 Speaker 12: twenty two, but it looks notably better than it did 875 00:41:23,120 --> 00:41:25,600 Speaker 12: in twenty twenty and twenty six, and a little bit 876 00:41:25,640 --> 00:41:28,319 Speaker 12: better than sixteen. Now, well that happened in reality, we 877 00:41:28,400 --> 00:41:30,120 Speaker 12: don't know, but the two metrics we can look at 878 00:41:30,120 --> 00:41:33,200 Speaker 12: twenty twenty two in the current polling suggests that's the case. 879 00:41:33,480 --> 00:41:36,120 Speaker 1: So let's talk about that. So you talked about Florida. 880 00:41:36,280 --> 00:41:39,279 Speaker 1: There they show Trump up by some thirteen points. That 881 00:41:39,360 --> 00:41:42,800 Speaker 1: actually fits with something that we really really wanted to 882 00:41:42,840 --> 00:41:45,040 Speaker 1: talk to you about, which is this bet that Nate 883 00:41:45,160 --> 00:41:45,879 Speaker 1: Silver has made. 884 00:41:45,920 --> 00:41:47,879 Speaker 4: Guys, let's put that up on the screen please. That's 885 00:41:47,880 --> 00:41:48,759 Speaker 4: C three. 886 00:41:49,280 --> 00:41:52,200 Speaker 1: So Keith for boy, he's a billionaire down in the 887 00:41:52,200 --> 00:41:56,640 Speaker 1: state of Florida. He bet Nate Silver one hundred grand 888 00:41:57,200 --> 00:42:00,360 Speaker 1: that Trump. So Nate said, how much more are you 889 00:42:00,400 --> 00:42:03,680 Speaker 1: willing to bet on a Trump plus eight point spread 890 00:42:03,760 --> 00:42:06,680 Speaker 1: in Florida? Keith says one hundred thousand dollars. Nate says, 891 00:42:06,760 --> 00:42:10,239 Speaker 1: drop a contract and let's do it. So would you 892 00:42:10,320 --> 00:42:13,160 Speaker 1: have taken that action? And keep in mind, this is 893 00:42:13,600 --> 00:42:16,840 Speaker 1: before the New York Times poll that shows Trump up 894 00:42:16,880 --> 00:42:17,680 Speaker 1: by thirteen points. 895 00:42:17,719 --> 00:42:18,239 Speaker 3: What do you think? 896 00:42:18,280 --> 00:42:19,120 Speaker 4: Why is bet or not. 897 00:42:19,880 --> 00:42:20,640 Speaker 6: Well, it's not a bet. 898 00:42:20,680 --> 00:42:21,360 Speaker 3: I would have take it. 899 00:42:22,120 --> 00:42:23,640 Speaker 12: I think part of that might have to do with 900 00:42:23,640 --> 00:42:25,840 Speaker 12: the fact that it reached the way as might be 901 00:42:25,880 --> 00:42:28,479 Speaker 12: doing fairly well, but it's not too enough. Well, Nate's silver, 902 00:42:28,640 --> 00:42:30,319 Speaker 12: So I don't know if I have the hundred kaling 903 00:42:30,400 --> 00:42:31,360 Speaker 12: around for this bet. 904 00:42:32,360 --> 00:42:34,280 Speaker 4: Okay, let's say you had ten million dollars. 905 00:42:34,440 --> 00:42:36,839 Speaker 6: Ten million dollars, so I love this question. Yeah, let's 906 00:42:36,840 --> 00:42:37,279 Speaker 6: make this a. 907 00:42:37,239 --> 00:42:38,400 Speaker 3: Thing, all right, ten million? 908 00:42:38,480 --> 00:42:40,279 Speaker 4: So what is that one percent of your network or something? 909 00:42:40,560 --> 00:42:40,719 Speaker 1: Said? 910 00:42:41,320 --> 00:42:43,680 Speaker 12: I would have made it the time Eates Silver made it. Okay, 911 00:42:43,719 --> 00:42:45,920 Speaker 12: all right, I still think it's most likely going to 912 00:42:45,960 --> 00:42:47,920 Speaker 12: be under eight. Yeah, this New York Times pol is 913 00:42:47,920 --> 00:42:50,160 Speaker 12: a giant outlier, and to be fair, for most of 914 00:42:50,200 --> 00:42:52,479 Speaker 12: the cycle, New York Times has been the outlier. Now, 915 00:42:52,920 --> 00:42:55,520 Speaker 12: I don't want to be, you know, being the same 916 00:42:55,600 --> 00:42:57,480 Speaker 12: dump too much because I've said this before in the show. 917 00:42:57,880 --> 00:43:00,960 Speaker 12: They're an amazing poster, but they also have been sistently missing. 918 00:43:00,680 --> 00:43:01,040 Speaker 6: To the right. 919 00:43:01,080 --> 00:43:02,839 Speaker 12: So most likely then reality the miss to the right 920 00:43:02,880 --> 00:43:04,400 Speaker 12: unless they're seeing something everyone else is. 921 00:43:05,120 --> 00:43:07,839 Speaker 1: Editorially, let's just make kiss people are like, wait, your 922 00:43:07,880 --> 00:43:09,400 Speaker 1: Times to the right, how does that work? We're not 923 00:43:09,400 --> 00:43:12,080 Speaker 1: talking about editorial, like they have a balance. You're talking 924 00:43:12,120 --> 00:43:13,360 Speaker 1: specifically about their polls. 925 00:43:13,400 --> 00:43:15,680 Speaker 3: Just the pulling pulling has missed. 926 00:43:15,760 --> 00:43:19,120 Speaker 2: It's been too favorable for Republicans over the years, just this. 927 00:43:19,120 --> 00:43:20,600 Speaker 6: Year, and I'm not even sure if it's wrong. 928 00:43:20,640 --> 00:43:23,600 Speaker 12: It just probably is because all the polls combined are 929 00:43:23,680 --> 00:43:25,160 Speaker 12: of a lot more than New York Times as great 930 00:43:25,200 --> 00:43:28,279 Speaker 12: as the New York Times polling record is right, So 931 00:43:28,320 --> 00:43:30,600 Speaker 12: they're clearly seeing an electorate that's a lot more favorable 932 00:43:30,600 --> 00:43:33,520 Speaker 12: to Trump. Their read on Florida is that the state 933 00:43:33,560 --> 00:43:37,360 Speaker 12: has shifted since COVID measurably, which is biable that people 934 00:43:37,480 --> 00:43:40,080 Speaker 12: just decided to move there who wanted to escape regulations. 935 00:43:40,760 --> 00:43:43,240 Speaker 12: In general, people have been moving. You know, there's immigration 936 00:43:43,320 --> 00:43:45,440 Speaker 12: that can move a state left, and there's also migration 937 00:43:46,280 --> 00:43:47,600 Speaker 12: that can move a state left and right, and in 938 00:43:47,600 --> 00:43:49,880 Speaker 12: Florida's case, the immigration from Cuba can also move. 939 00:43:49,719 --> 00:43:50,359 Speaker 6: It right as well. 940 00:43:50,440 --> 00:43:51,279 Speaker 3: Rightly, good point. 941 00:43:51,880 --> 00:43:54,560 Speaker 6: So we don't really know yet for Florida which one 942 00:43:54,560 --> 00:43:55,120 Speaker 6: it's going to be. 943 00:43:55,360 --> 00:43:58,320 Speaker 12: I think it's possible posters, if this is actually happening, 944 00:43:58,400 --> 00:44:01,600 Speaker 12: might underrat it because sort of cheap shortcut for posters 945 00:44:01,600 --> 00:44:04,239 Speaker 12: sometimes is to say, hey, let's find an elector and 946 00:44:04,280 --> 00:44:06,439 Speaker 12: ask them how they voted in twenty twenty and we're 947 00:44:06,440 --> 00:44:08,640 Speaker 12: going to have the elector look be reflective of what 948 00:44:08,680 --> 00:44:09,720 Speaker 12: happened in twenty twenty. 949 00:44:09,719 --> 00:44:10,399 Speaker 3: So it's an our. 950 00:44:10,360 --> 00:44:12,080 Speaker 6: Plus three state. We'll show it R plus three. 951 00:44:12,239 --> 00:44:14,120 Speaker 12: Now if the cuff I don't remember exactly how Florida 952 00:44:14,200 --> 00:44:16,880 Speaker 12: voted to the decimal point or anything, but it definitely 953 00:44:16,880 --> 00:44:18,879 Speaker 12: appeared in twenty twenty two to move to the right. 954 00:44:19,160 --> 00:44:21,040 Speaker 12: And so if that is a result of a different 955 00:44:21,120 --> 00:44:23,600 Speaker 12: voter base, then yeah, some of these posters might be 956 00:44:23,680 --> 00:44:25,080 Speaker 12: underrating Trump there. 957 00:44:25,080 --> 00:44:30,439 Speaker 2: Now, Now, how do so North Carolina and Florida are well. 958 00:44:30,760 --> 00:44:33,880 Speaker 2: North Carolina was devastated by a hurricane, Florida's about to 959 00:44:33,880 --> 00:44:38,200 Speaker 2: be devastated by a hurricane. Twenty years ago, when Republicans 960 00:44:38,440 --> 00:44:41,080 Speaker 2: were the party of the upper middle class, the people 961 00:44:41,080 --> 00:44:43,200 Speaker 2: who had their ducks in a row, had their IDs out, 962 00:44:43,400 --> 00:44:46,280 Speaker 2: had been voting at the same polling location for decades 963 00:44:46,280 --> 00:44:49,120 Speaker 2: because they'd owned their home for thirty years. At this point, 964 00:44:49,360 --> 00:44:52,560 Speaker 2: like they were the ones that would benefit in an 965 00:44:52,680 --> 00:44:57,960 Speaker 2: unstable environment. That's why today, like at the time, polls 966 00:44:58,080 --> 00:45:04,560 Speaker 2: of likely voters benefited Democrats, whereas registered voters voted Democrats. 967 00:45:04,600 --> 00:45:07,960 Speaker 2: Likely voters benefited Republicans because they were more likely to 968 00:45:08,000 --> 00:45:09,759 Speaker 2: go out to vote. From that, you saw these like 969 00:45:09,840 --> 00:45:13,200 Speaker 2: voter restriction idea, et cetera, et cetera. Now that's flipped. 970 00:45:13,800 --> 00:45:17,120 Speaker 2: You've got a lot of working class support for Republicans. 971 00:45:17,120 --> 00:45:20,759 Speaker 2: They're more itinerant voters, less likely necessarily to show up 972 00:45:20,760 --> 00:45:24,760 Speaker 2: in a difficult circumstance. Florida, New North Carolina have extremely 973 00:45:24,800 --> 00:45:30,080 Speaker 2: difficult circumstances when it comes to voting. So who is 974 00:45:30,120 --> 00:45:33,839 Speaker 2: that going to help Democrats who are more they were 975 00:45:33,880 --> 00:45:36,040 Speaker 2: now now the party of the upper middle class, who 976 00:45:36,040 --> 00:45:37,280 Speaker 2: were kind of know where. 977 00:45:37,080 --> 00:45:39,600 Speaker 3: Their ideas, know where their voting location is, et cetera. 978 00:45:40,120 --> 00:45:43,719 Speaker 2: What I mean, it's completely unpredictable. But what would you 979 00:45:43,800 --> 00:45:45,919 Speaker 2: guess if you had to at this point. That's such 980 00:45:45,920 --> 00:45:47,759 Speaker 2: a tough question. It's entirely possible. 981 00:45:48,640 --> 00:45:50,360 Speaker 12: I would also say, though, that part of this is 982 00:45:50,400 --> 00:45:53,640 Speaker 12: how the government responds. Now North Carolina GOP, more so 983 00:45:53,719 --> 00:45:55,560 Speaker 12: than most parties are in control of the state, have 984 00:45:55,560 --> 00:45:57,960 Speaker 12: been one to play some electoral games to get advantages, 985 00:45:58,320 --> 00:46:00,560 Speaker 12: like redrawing the maps. But if they're going to do 986 00:46:00,600 --> 00:46:02,520 Speaker 12: whatever they can and get their voters exactly what they 987 00:46:02,520 --> 00:46:04,120 Speaker 12: need to be able to vote, So I think you'll 988 00:46:04,120 --> 00:46:06,000 Speaker 12: see you some martial effort on by the state to 989 00:46:07,160 --> 00:46:08,680 Speaker 12: ensure that doesn't happen, at least in more of the 990 00:46:08,680 --> 00:46:11,560 Speaker 12: white working class areas they might happen across the board. 991 00:46:11,560 --> 00:46:13,200 Speaker 12: I don't want to accuse someone of something they haven't 992 00:46:13,200 --> 00:46:17,640 Speaker 12: done yet, right, so that might mitigate it to a degree, 993 00:46:17,719 --> 00:46:21,200 Speaker 12: I think above all else, though, it's going to be 994 00:46:21,280 --> 00:46:23,880 Speaker 12: more of a sentiment effect. And we don't know how 995 00:46:24,000 --> 00:46:27,640 Speaker 12: voters are going to view the response by these politicians. 996 00:46:27,680 --> 00:46:30,800 Speaker 12: You know, on average, they're going to be upset. And 997 00:46:31,360 --> 00:46:33,480 Speaker 12: here's where I'm concerned to a degree, right, because when 998 00:46:33,719 --> 00:46:36,120 Speaker 12: ad political incentives get in the way of what needs 999 00:46:36,120 --> 00:46:39,440 Speaker 12: to happen, that's where there's some danger. I'm worried about 1000 00:46:39,440 --> 00:46:43,640 Speaker 12: the House not giving the funding needed to have a 1001 00:46:43,680 --> 00:46:47,759 Speaker 12: good response here because making the Biden Harris administration look 1002 00:46:47,800 --> 00:46:50,400 Speaker 12: bad might be worth it for them. I'm not saying 1003 00:46:50,440 --> 00:46:53,319 Speaker 12: that's true for most Republicans, but given the way the 1004 00:46:53,360 --> 00:46:55,880 Speaker 12: House usually works is that they need the majority of 1005 00:46:55,880 --> 00:46:59,360 Speaker 12: the majority to agree, or you need to outright majority 1006 00:46:59,400 --> 00:47:02,279 Speaker 12: of House members to agree, and you only have like 1007 00:47:02,320 --> 00:47:03,960 Speaker 12: six to spare, and there's way more than six who 1008 00:47:03,960 --> 00:47:05,240 Speaker 12: are willing to play those types of games. 1009 00:47:05,239 --> 00:47:07,840 Speaker 2: That's what you also want in that moment is a 1010 00:47:07,920 --> 00:47:10,239 Speaker 2: leader who can command the respect of the entire thing. 1011 00:47:10,440 --> 00:47:12,759 Speaker 3: Who can you know, Yeah, do we have that? 1012 00:47:13,719 --> 00:47:14,120 Speaker 4: I don't know. 1013 00:47:14,680 --> 00:47:14,799 Speaker 6: Eric. 1014 00:47:14,880 --> 00:47:16,960 Speaker 1: Let's let's move on to the Senate actually, because on 1015 00:47:17,000 --> 00:47:19,680 Speaker 1: the state level you're getting to something that's really important. 1016 00:47:19,719 --> 00:47:21,720 Speaker 1: As a reminder, this is going behind the paywall guys, 1017 00:47:21,800 --> 00:47:23,120 Speaker 1: and you'll be able to watch it later, but for 1018 00:47:23,160 --> 00:47:25,120 Speaker 1: our premium subscribers they can continue watching. 1019 00:47:25,160 --> 00:47:26,960 Speaker 3: It's going to be good. Thanks. It is great to 1020 00:47:27,000 --> 00:47:28,160 Speaker 3: better subscribe. Thank you, Mian. 1021 00:47:28,360 --> 00:47:30,439 Speaker 4: Let's go ahead and put your support cap