1 00:00:06,600 --> 00:00:09,640 Speaker 1: Seventy five percent of the people either one don't like 2 00:00:09,720 --> 00:00:13,560 Speaker 1: you or two are too busy to be bothered with 3 00:00:13,720 --> 00:00:17,239 Speaker 1: a silly question about you. So there's some new polling 4 00:00:17,280 --> 00:00:20,160 Speaker 1: that came out and it said the Indiana Governor Mike 5 00:00:20,239 --> 00:00:24,200 Speaker 1: Braun his statewide approval rating is sitting at just twenty 6 00:00:24,239 --> 00:00:28,720 Speaker 1: five percent. This was done by Public Policy Polling Survey. 7 00:00:28,920 --> 00:00:31,720 Speaker 1: It was done between February twenty and the twenty first. 8 00:00:32,000 --> 00:00:35,400 Speaker 1: They asked only five hundred and fifty four voters. I 9 00:00:35,400 --> 00:00:39,040 Speaker 1: don't know, that's not the biggest snapshot, but they found 10 00:00:39,040 --> 00:00:42,880 Speaker 1: out that his statewide approval rating is sitting at only 11 00:00:43,280 --> 00:00:48,040 Speaker 1: twenty five percent. And the real deal here, Braun has 12 00:00:48,159 --> 00:00:52,280 Speaker 1: struggled to get his agenda through the legislature in a 13 00:00:52,320 --> 00:00:56,040 Speaker 1: lot of areas. Even when he signs bills like property 14 00:00:56,080 --> 00:01:00,320 Speaker 1: tax relief, the final results are completely different from his 15 00:01:00,560 --> 00:01:04,440 Speaker 1: original proposal. He just can't deliver on the promises that 16 00:01:04,480 --> 00:01:04,960 Speaker 1: he makes. 17 00:01:05,040 --> 00:01:07,399 Speaker 2: Yeah, and I think what's interesting about this is I 18 00:01:07,440 --> 00:01:09,920 Speaker 2: was about twenty percent of the people surveyed had no 19 00:01:10,000 --> 00:01:13,720 Speaker 2: opinion of mistrust. That's probably worse. Forget about the people 20 00:01:13,760 --> 00:01:16,880 Speaker 2: that don't like you. You're the governor of the state 21 00:01:17,240 --> 00:01:19,959 Speaker 2: and one out of every five people in the state 22 00:01:19,959 --> 00:01:24,040 Speaker 2: are like, nah, eh, whatever you're doing, don't care. Indifference 23 00:01:24,520 --> 00:01:28,600 Speaker 2: is much worse than disapproval. Just completely indifferent. You don't 24 00:01:28,600 --> 00:01:30,920 Speaker 2: affect my life. I don't care anything about I have 25 00:01:31,000 --> 00:01:33,039 Speaker 2: no opinion on you. That's the worst part about this. 26 00:01:33,160 --> 00:01:35,200 Speaker 2: And look, a lot of people are gonna get caught 27 00:01:35,240 --> 00:01:38,120 Speaker 2: up in this twenty five percent and I look, this 28 00:01:38,160 --> 00:01:40,480 Speaker 2: is a real polling company. So this is an honest, 29 00:01:40,840 --> 00:01:44,640 Speaker 2: legit poll. Unlike you remember during the twenty twenty four 30 00:01:45,040 --> 00:01:48,400 Speaker 2: election when the local Indiana Democrats put out their own 31 00:01:48,440 --> 00:01:51,520 Speaker 2: poll that showed, you know, Jennifer McCormick was within a 32 00:01:51,560 --> 00:01:53,680 Speaker 2: few points of Mike Brawn. Remember that that was a 33 00:01:53,720 --> 00:01:55,480 Speaker 2: fake poll. That was a poll for them to just 34 00:01:55,560 --> 00:01:57,520 Speaker 2: kind of drum up some more donor money and get 35 00:01:57,520 --> 00:01:59,800 Speaker 2: some interest. This is an honest to goodness, real poll. 36 00:02:00,000 --> 00:02:02,760 Speaker 2: While people are focusing on the twenty five percent approval rating, 37 00:02:02,960 --> 00:02:06,880 Speaker 2: which they should, because that's terrible for Braun. It's bad 38 00:02:06,920 --> 00:02:08,880 Speaker 2: no matter which way you look at it, because people 39 00:02:08,919 --> 00:02:10,840 Speaker 2: will say, well, you know, like you mentioned, it was 40 00:02:10,880 --> 00:02:12,840 Speaker 2: only five hundred and some people in this poll, or 41 00:02:12,880 --> 00:02:16,000 Speaker 2: you can't trust polls. Okay, fine, let's say, let's say 42 00:02:16,000 --> 00:02:18,720 Speaker 2: that the truth is Braun's not at twenty five percent 43 00:02:18,760 --> 00:02:22,480 Speaker 2: approval rating, He's at thirty percent approve still terrible. Let's 44 00:02:22,520 --> 00:02:24,280 Speaker 2: give him a ton of rend Let's say Braun's at 45 00:02:24,400 --> 00:02:28,800 Speaker 2: thirty five percent approval rating, still a disaster. The guy 46 00:02:28,840 --> 00:02:31,440 Speaker 2: got fifty six percent of the votes just a year 47 00:02:31,480 --> 00:02:34,160 Speaker 2: ago in the election, and according to this he's lost 48 00:02:34,160 --> 00:02:36,600 Speaker 2: twenty percent minimum on the So if you take the 49 00:02:36,639 --> 00:02:38,880 Speaker 2: poll on the service, he's lost thirty percent of that 50 00:02:38,960 --> 00:02:40,440 Speaker 2: support in just over a year. 51 00:02:40,720 --> 00:02:41,160 Speaker 3: Shocking. 52 00:02:41,480 --> 00:02:45,880 Speaker 1: So a lot of his decisions in office, like replacing 53 00:02:46,000 --> 00:02:48,880 Speaker 1: the elected trustees on the iqu Board of Trustees with 54 00:02:48,919 --> 00:02:50,680 Speaker 1: his own appointees, that has. 55 00:02:50,600 --> 00:02:51,800 Speaker 4: Drawn some criticism. 56 00:02:52,280 --> 00:02:57,320 Speaker 1: He heavily pushed for the mid decade redistricting effort, even 57 00:02:57,360 --> 00:03:00,440 Speaker 1: with pressure from Donald Trump and support from Donald Trump, 58 00:03:00,520 --> 00:03:03,239 Speaker 1: the bill ultimately failed in Indiana. 59 00:03:04,200 --> 00:03:07,000 Speaker 4: He does, I'm gonna be honest, Okay, please. 60 00:03:07,120 --> 00:03:10,440 Speaker 1: He has had some successes, sure, of course, and they 61 00:03:10,480 --> 00:03:13,640 Speaker 1: all come from the education area, like the universal school 62 00:03:13,720 --> 00:03:18,880 Speaker 1: choice initiative that was expanded starting teacher pay was increased, 63 00:03:19,560 --> 00:03:23,600 Speaker 1: some new Indiana Blue Ribbon schools were recognized, and also 64 00:03:23,800 --> 00:03:28,959 Speaker 1: the public universities in Indiana announced tuition and fee freezes 65 00:03:29,080 --> 00:03:31,480 Speaker 1: for the next two years, although they were probably going 66 00:03:31,560 --> 00:03:32,320 Speaker 1: to do that anyway. 67 00:03:32,400 --> 00:03:34,400 Speaker 2: Well, and I'll give Bron credit. You mentioned it as 68 00:03:34,440 --> 00:03:38,000 Speaker 2: a controversial one, but the fact that the governor now 69 00:03:38,040 --> 00:03:42,440 Speaker 2: gets more board seats at Indiana University, that was a 70 00:03:42,440 --> 00:03:44,840 Speaker 2: controversial pick. I'd make that a win for him as 71 00:03:44,840 --> 00:03:47,800 Speaker 2: far as I'm concerned. Look, Indiana University gets a ton 72 00:03:47,840 --> 00:03:50,920 Speaker 2: of taxpayer dollars, and when you get our money, we 73 00:03:50,960 --> 00:03:53,160 Speaker 2: get to say in how you run your organization. Now, 74 00:03:53,200 --> 00:03:56,000 Speaker 2: obviously we as voters don't directly get a say in that, 75 00:03:56,040 --> 00:03:58,280 Speaker 2: but our elected officials should have a lot of say 76 00:03:58,320 --> 00:04:00,240 Speaker 2: in what goes on at iuse So I'll give him 77 00:04:00,520 --> 00:04:01,680 Speaker 2: a win for that as well. 78 00:04:01,680 --> 00:04:03,200 Speaker 3: But you look about his signature. 79 00:04:03,400 --> 00:04:07,360 Speaker 2: His signature piece of legislation last year was property taxes. 80 00:04:07,440 --> 00:04:10,360 Speaker 2: That ended up being a disaster. Like you said, redistricting 81 00:04:10,400 --> 00:04:14,560 Speaker 2: took up. We talked about redistricting for six months last year. 82 00:04:15,000 --> 00:04:17,400 Speaker 2: Six months. It seems like all we talked about was 83 00:04:17,440 --> 00:04:21,320 Speaker 2: redistricting last year, and that was a fiery crash of 84 00:04:21,360 --> 00:04:23,839 Speaker 2: a disaster for Mike Brown because he put everything he 85 00:04:23,920 --> 00:04:26,200 Speaker 2: had behind that and could not get it across the 86 00:04:26,200 --> 00:04:29,080 Speaker 2: finish line. A lot of these things, and then go 87 00:04:29,200 --> 00:04:31,200 Speaker 2: to the things that he doesn't want to deal with, 88 00:04:31,400 --> 00:04:33,960 Speaker 2: he just throws it on the legislature. He's just like, well, 89 00:04:34,000 --> 00:04:36,040 Speaker 2: the House and senate'll figure that out, and I'm going 90 00:04:36,080 --> 00:04:37,720 Speaker 2: to sit back here and you know, not have an 91 00:04:37,720 --> 00:04:39,880 Speaker 2: opinion on it or not do anything about it. It's 92 00:04:39,920 --> 00:04:43,039 Speaker 2: all of those things that lead up to a wopping 93 00:04:43,080 --> 00:04:44,719 Speaker 2: twenty five percent approval rating. 94 00:04:45,040 --> 00:04:48,600 Speaker 1: So a majority of this poll was about the Mid 95 00:04:48,720 --> 00:04:51,720 Speaker 1: States Corridor Question two. 96 00:04:52,240 --> 00:04:53,240 Speaker 4: The Mid States. 97 00:04:53,000 --> 00:04:56,800 Speaker 1: Corridors proposed new four lane highway through du Bois County 98 00:04:56,839 --> 00:05:00,760 Speaker 1: in southern Indiana. Project is approximately twenty three miles long, 99 00:05:00,800 --> 00:05:04,240 Speaker 1: which would cost one point one billion dollars about forty 100 00:05:04,240 --> 00:05:07,360 Speaker 1: seven million dollars per mile. And then they go and ask, 101 00:05:07,440 --> 00:05:08,599 Speaker 1: you know, do you support this? 102 00:05:08,880 --> 00:05:09,880 Speaker 4: Do you oppose this? 103 00:05:10,240 --> 00:05:14,279 Speaker 1: It was strongly opposed by forty one percent. 104 00:05:14,960 --> 00:05:16,200 Speaker 4: And I noticed that. 105 00:05:16,760 --> 00:05:21,680 Speaker 1: Just today in the state budget Committee, they're reviewing any 106 00:05:21,800 --> 00:05:26,039 Speaker 1: highway project costing two hundred and fifty million dollars or more. 107 00:05:26,440 --> 00:05:30,360 Speaker 1: You're putting new language in because of this Mid State's Corridor, Yeah, 108 00:05:30,400 --> 00:05:30,839 Speaker 1: and they're. 109 00:05:30,680 --> 00:05:34,000 Speaker 2: Putting it into Interestingly enough, they're putting this amendment and 110 00:05:34,040 --> 00:05:35,400 Speaker 2: this language into. 111 00:05:35,200 --> 00:05:37,560 Speaker 3: The bill about the Chicago Bears, Cargo Bear. 112 00:05:37,839 --> 00:05:39,880 Speaker 2: So when I first read this story and I heard 113 00:05:39,920 --> 00:05:42,760 Speaker 2: that they're putting this road funding bill and they're tacking 114 00:05:42,760 --> 00:05:45,359 Speaker 2: it on as an amendment to the bill as it 115 00:05:45,400 --> 00:05:46,839 Speaker 2: relates to the Chicago Bears, my. 116 00:05:46,839 --> 00:05:49,000 Speaker 3: First thought was those stinking politicians. 117 00:05:49,120 --> 00:05:51,760 Speaker 2: They're trying to cram through toll roads or a tax 118 00:05:51,920 --> 00:05:53,919 Speaker 2: increase or something like that. They're going to cram it 119 00:05:53,960 --> 00:05:57,360 Speaker 2: through in that Bear's Bill. Happily I was wrong about this. 120 00:05:57,360 --> 00:05:59,320 Speaker 2: This is actually a really good amendment. Not sure it 121 00:05:59,320 --> 00:06:01,560 Speaker 2: should be put in the Bear's Bill as an amendment, 122 00:06:01,600 --> 00:06:03,520 Speaker 2: probably should sit as a bill all on its own. 123 00:06:03,760 --> 00:06:08,159 Speaker 2: But essentially, what this is requiring is that any projects 124 00:06:08,400 --> 00:06:11,560 Speaker 2: road projects over two hundred and fifty million dollars need 125 00:06:11,600 --> 00:06:14,280 Speaker 2: to be reviewed by the legislature before they can go forward. 126 00:06:14,360 --> 00:06:16,039 Speaker 3: Seems pretty reasonable. 127 00:06:15,600 --> 00:06:17,479 Speaker 2: To me that if you're going to spend a quarter 128 00:06:17,560 --> 00:06:19,800 Speaker 2: of a billion dollars, then we have some people take 129 00:06:19,839 --> 00:06:21,840 Speaker 2: another look at it, right, right. 130 00:06:22,480 --> 00:06:24,520 Speaker 1: So, you've got a lot of local residents who are 131 00:06:24,520 --> 00:06:28,960 Speaker 1: opposing that mid State's corridor plan. Poles like that one 132 00:06:29,080 --> 00:06:30,039 Speaker 1: showing a lot. 133 00:06:29,880 --> 00:06:31,080 Speaker 4: Of strong resistance. 134 00:06:31,320 --> 00:06:34,640 Speaker 1: And I'm not sure if this is a state wide 135 00:06:34,640 --> 00:06:37,200 Speaker 1: issue like, people in Northern Indiana are going to go, 136 00:06:37,279 --> 00:06:39,600 Speaker 1: mid States, what what are you talking about? 137 00:06:39,680 --> 00:06:39,800 Speaker 5: Right? 138 00:06:39,839 --> 00:06:41,920 Speaker 2: That's down there, that's down there, and I've heard about 139 00:06:41,960 --> 00:06:44,080 Speaker 2: that down there in Dubois County and people up north 140 00:06:44,120 --> 00:06:46,599 Speaker 2: and go, what we have a Dubois County what's that? 141 00:06:47,279 --> 00:06:50,680 Speaker 4: So you can look at this poll they say it's statewide. 142 00:06:51,080 --> 00:06:54,320 Speaker 1: However, the focus of it was something that doesn't affect 143 00:06:54,400 --> 00:06:58,320 Speaker 1: the entire state at least not people in northern Indiana. 144 00:06:58,520 --> 00:07:02,799 Speaker 1: Forty six percent of the people polled were from Indianapolis. 145 00:07:02,839 --> 00:07:07,279 Speaker 1: Actually forty five percent were from Indianapolis. 146 00:07:06,400 --> 00:07:08,520 Speaker 3: And that about matches the population. 147 00:07:08,640 --> 00:07:11,960 Speaker 2: Almost half the people polled were from Central Indiana. About 148 00:07:11,960 --> 00:07:14,920 Speaker 2: half the state's population resides in Central Indiana, so that 149 00:07:14,960 --> 00:07:17,200 Speaker 2: makes sense. And some lawmakers have come out and said, look, 150 00:07:17,240 --> 00:07:19,760 Speaker 2: this new proposal that we're trying to you know, tack 151 00:07:19,800 --> 00:07:22,480 Speaker 2: onto the Chicago Bears bill about road funding, it has 152 00:07:22,560 --> 00:07:25,480 Speaker 2: nothing to do with the mid State's corridor project. Now, 153 00:07:25,600 --> 00:07:28,280 Speaker 2: it's just a massive coincidence that that's the case. But 154 00:07:28,320 --> 00:07:30,360 Speaker 2: you talked about these polls. There was actually a poll 155 00:07:30,400 --> 00:07:33,840 Speaker 2: that was released in December last year that went county 156 00:07:33,840 --> 00:07:36,480 Speaker 2: by county. So not only do you know forty plus 157 00:07:36,560 --> 00:07:38,880 Speaker 2: percent of the state not approve of the mid State's 158 00:07:38,920 --> 00:07:43,000 Speaker 2: Quarter project, even in Dubois County. Eighty one percent of 159 00:07:43,040 --> 00:07:46,120 Speaker 2: the residents in du Bois County don't want this project 160 00:07:46,200 --> 00:07:47,760 Speaker 2: running through their backyard. 161 00:07:47,440 --> 00:07:48,560 Speaker 4: Yeah, or their front yard. 162 00:07:48,680 --> 00:07:50,800 Speaker 3: Highly just massively unpopular. 163 00:07:51,000 --> 00:07:54,640 Speaker 1: So lawmakers have added new requirements to a commercial trucking 164 00:07:54,680 --> 00:07:58,120 Speaker 1: bill its House Bill twelve hundred, and the bill would 165 00:07:58,160 --> 00:08:02,040 Speaker 1: now require commercial driver's life license tests to be taken 166 00:08:02,520 --> 00:08:07,040 Speaker 1: in English before someone can operate big trucks in Indiana. 167 00:08:07,120 --> 00:08:08,160 Speaker 4: Here is Governor Braun. 168 00:08:08,240 --> 00:08:10,880 Speaker 1: He was on Fox News and he was talking about 169 00:08:11,280 --> 00:08:12,440 Speaker 1: CDL scrutiny. 170 00:08:13,280 --> 00:08:16,200 Speaker 6: Most of that issue has been with CDLs that they've 171 00:08:16,240 --> 00:08:19,120 Speaker 6: been handing out like through a slot machine out in California, 172 00:08:19,720 --> 00:08:22,080 Speaker 6: but it shows how that can happen anywhere. And I 173 00:08:22,120 --> 00:08:25,880 Speaker 6: don't know where he got a CDL, but I've authorized 174 00:08:25,920 --> 00:08:31,280 Speaker 6: the state police to be ramping up just routine traffic stops, 175 00:08:31,880 --> 00:08:35,440 Speaker 6: and we're finding enough of it to where when we 176 00:08:35,480 --> 00:08:40,280 Speaker 6: do vet the drivers, they are not documented properly. And 177 00:08:40,360 --> 00:08:44,920 Speaker 6: the other complicating thing is documents. They're so good at 178 00:08:44,960 --> 00:08:48,319 Speaker 6: faking them, you don't even know. But this is cropping 179 00:08:48,400 --> 00:08:51,960 Speaker 6: up enough. Most of it has come from states that 180 00:08:52,040 --> 00:08:55,480 Speaker 6: weren't really interested about the rigor of what you do 181 00:08:55,600 --> 00:08:58,680 Speaker 6: to get a CDL. It shows it can happen anywhere, 182 00:08:58,679 --> 00:09:01,760 Speaker 6: and now we've had two fatal incidents in our own state. 183 00:09:01,920 --> 00:09:06,760 Speaker 1: Yeah, so this bill also includes immigration related provisions. The 184 00:09:06,800 --> 00:09:11,319 Speaker 1: state can revoke as CDL if federal agencies give information 185 00:09:11,400 --> 00:09:15,560 Speaker 1: that a driver lacks legal immigration status. So this bill 186 00:09:15,640 --> 00:09:21,480 Speaker 1: is now linking immigration status and language proficiency to truck 187 00:09:21,640 --> 00:09:23,400 Speaker 1: licensing the trucking industry. 188 00:09:23,480 --> 00:09:25,840 Speaker 2: Yeah, I mean this is a good thing. We obviously 189 00:09:25,920 --> 00:09:28,640 Speaker 2: need more enforcement in this area. I do think that 190 00:09:28,679 --> 00:09:30,880 Speaker 2: Braun was a little disingenuous there in that piece of 191 00:09:30,920 --> 00:09:33,239 Speaker 2: audio that we just played because he pretty much blamed. 192 00:09:32,960 --> 00:09:35,000 Speaker 4: All of all the other states. 193 00:09:34,679 --> 00:09:37,440 Speaker 2: On California, which, by the way, the accident we just 194 00:09:37,520 --> 00:09:41,080 Speaker 2: had last week on Rockville Road in Avon, where somebody 195 00:09:41,160 --> 00:09:44,760 Speaker 2: was killed by an illegal immigrant driving on the road 196 00:09:45,360 --> 00:09:48,520 Speaker 2: was issued in Indiana state driver's license. By the way, 197 00:09:48,559 --> 00:09:50,520 Speaker 2: it was also a real id there were photos of 198 00:09:50,559 --> 00:09:53,920 Speaker 2: it that were produced out there. So it's not just California. Look, 199 00:09:53,960 --> 00:09:56,360 Speaker 2: California going to be terrible offenders, but we got to 200 00:09:56,360 --> 00:09:57,040 Speaker 2: get our house. 201 00:09:56,880 --> 00:09:58,560 Speaker 3: Right in order here in Indiana as well. 202 00:09:58,800 --> 00:09:59,840 Speaker 4: Another thing that happened. 203 00:10:00,160 --> 00:10:03,600 Speaker 1: Braun was at the Governor's breakfast when Trump found out 204 00:10:03,720 --> 00:10:06,840 Speaker 1: that the Supreme Court wasn't going to go along with 205 00:10:06,880 --> 00:10:10,520 Speaker 1: Trump's tariffs, and Braun was asked about how do tariffs 206 00:10:10,520 --> 00:10:13,080 Speaker 1: impact small businesses in Indiana? 207 00:10:13,559 --> 00:10:15,880 Speaker 6: So if you're caught in one of the industries that 208 00:10:15,960 --> 00:10:20,080 Speaker 6: you're dealing with that went global took the supply chain there, 209 00:10:20,320 --> 00:10:24,240 Speaker 6: it's hard to get around it. Many companies knew that 210 00:10:24,320 --> 00:10:27,199 Speaker 6: if you're going there, especially if you want to tap 211 00:10:27,280 --> 00:10:32,000 Speaker 6: their own consumer market, someday you've really gotten invested in 212 00:10:32,040 --> 00:10:36,360 Speaker 6: the Chinese economy. Most don't, but when it has occurred, 213 00:10:36,840 --> 00:10:39,439 Speaker 6: it takes a while to go somewhere else to get 214 00:10:39,440 --> 00:10:43,680 Speaker 6: that product made. But getting tariffs down to where they're 215 00:10:43,679 --> 00:10:48,000 Speaker 6: the same for the reciprocity, Trump's right on the money, 216 00:10:48,280 --> 00:10:50,640 Speaker 6: and we need to keep doing it free and fair. 217 00:10:51,080 --> 00:10:54,320 Speaker 6: If you impede our goods coming into your country, expect 218 00:10:54,320 --> 00:10:55,480 Speaker 6: it from us. 219 00:10:56,400 --> 00:11:01,000 Speaker 1: In response, of course, he's going to give Donald Trump 220 00:11:01,040 --> 00:11:04,680 Speaker 1: credit for everything as he's you know, continuing to ride 221 00:11:04,720 --> 00:11:05,760 Speaker 1: Donald Trump's gotails. 222 00:11:05,840 --> 00:11:08,200 Speaker 2: Yeah, he's gonna come out obviously. You know, Braun and 223 00:11:08,240 --> 00:11:10,680 Speaker 2: Trump are tied at the hip on everything, and even 224 00:11:10,679 --> 00:11:12,880 Speaker 2: a controversial topic like tariffs are going to be part 225 00:11:12,920 --> 00:11:15,040 Speaker 2: of that, and Braun started to go down this road 226 00:11:15,080 --> 00:11:16,800 Speaker 2: when he talked about it in that audio we just 227 00:11:16,840 --> 00:11:18,960 Speaker 2: played there. But my guess is that if you're a 228 00:11:18,960 --> 00:11:21,520 Speaker 2: small business owner in this state and your business has 229 00:11:21,520 --> 00:11:24,760 Speaker 2: been damaged significantly by tariffs, you were probably looking for 230 00:11:25,120 --> 00:11:27,720 Speaker 2: a little bit more from Mike Braun than just what 231 00:11:27,800 --> 00:11:28,320 Speaker 2: we heard is. 232 00:11:28,440 --> 00:11:31,000 Speaker 4: Yeah, you're not going to be happy about the increased costs. 233 00:11:30,800 --> 00:11:34,720 Speaker 2: No, but you can come out and you can support 234 00:11:34,800 --> 00:11:38,760 Speaker 2: Donald Trump's tariffs but also have a plan in place 235 00:11:38,920 --> 00:11:41,920 Speaker 2: to help small businesses in your state that are adversely 236 00:11:41,960 --> 00:11:45,040 Speaker 2: affected by those tariffs and talk about those and say, look, 237 00:11:45,360 --> 00:11:48,200 Speaker 2: I understand your small business has been hurt by these tariffs. 238 00:11:48,160 --> 00:11:50,720 Speaker 2: And that was, you know, just part of the process. 239 00:11:50,760 --> 00:11:52,880 Speaker 2: But look, here's what we're gonna do, and here's how 240 00:11:52,880 --> 00:11:54,679 Speaker 2: we're gonna help. But here's how we're going to change 241 00:11:54,720 --> 00:11:58,240 Speaker 2: things going forward so that you know, this adverse effect 242 00:11:58,240 --> 00:11:59,960 Speaker 2: that you've had on your business goes away and you 243 00:12:00,040 --> 00:12:03,840 Speaker 2: can get back to pre pro productile. Again, he started 244 00:12:03,840 --> 00:12:05,720 Speaker 2: to go down that road, but he really didn't finish 245 00:12:05,800 --> 00:12:06,160 Speaker 2: it off. 246 00:12:06,360 --> 00:12:09,920 Speaker 1: Well, if the goal is about fairness and trade, you 247 00:12:09,960 --> 00:12:14,840 Speaker 1: can't punish the middle class at the counter, because that's 248 00:12:14,880 --> 00:12:16,880 Speaker 1: not exactly a strategy to brag about. 249 00:12:17,200 --> 00:12:18,680 Speaker 3: Well, yeah, you know. 250 00:12:18,720 --> 00:12:21,360 Speaker 2: And when Trump and Braun mentioned fairness as it relates 251 00:12:21,400 --> 00:12:26,080 Speaker 2: to tariffs, they're talking about fairness on the global international stage, 252 00:12:26,400 --> 00:12:30,160 Speaker 2: and the average everyday American citizen, certainly, the every day hoosier, 253 00:12:30,640 --> 00:12:33,640 Speaker 2: really not all that concerned about fairness on the global stage. 254 00:12:33,679 --> 00:12:36,240 Speaker 2: I want fairness right here in my backyard. I want 255 00:12:36,320 --> 00:12:38,679 Speaker 2: fairness in my state. I want fairness in my small 256 00:12:38,720 --> 00:12:41,360 Speaker 2: business that I run. And look, I get it that 257 00:12:41,440 --> 00:12:44,000 Speaker 2: if somebody is going to tear off our goods, then 258 00:12:44,000 --> 00:12:46,200 Speaker 2: we need to tear off their goods. But how about 259 00:12:46,200 --> 00:12:48,640 Speaker 2: something for the little guy here that's just trying to 260 00:12:48,679 --> 00:12:51,040 Speaker 2: run this small business where these tariffs are hammering my 261 00:12:51,080 --> 00:12:54,000 Speaker 2: business and we're losing money. Now, that's where Trump and 262 00:12:54,040 --> 00:12:56,880 Speaker 2: Braun need to come out, have some ideas, some concepts, 263 00:12:56,880 --> 00:12:58,600 Speaker 2: and get a little bit more specific about that. 264 00:12:58,679 --> 00:13:01,640 Speaker 4: You're listening to NYBC Good Morning. 265 00:13:08,640 --> 00:13:11,600 Speaker 1: Has TSA pre checked become a political football? 266 00:13:12,320 --> 00:13:15,240 Speaker 4: Certainly seems like it. 267 00:13:14,320 --> 00:13:15,080 Speaker 1: Is it open? 268 00:13:15,240 --> 00:13:18,120 Speaker 4: Is it not open? Do we have global re entry? 269 00:13:18,400 --> 00:13:21,120 Speaker 4: Do we not? What is going on? It seems like 270 00:13:21,160 --> 00:13:22,720 Speaker 4: every other day, it's changed. 271 00:13:22,800 --> 00:13:26,800 Speaker 2: Yeah, and this is going back to the partial government shutdown, 272 00:13:26,840 --> 00:13:29,000 Speaker 2: which if you haven't been paying attention. 273 00:13:28,800 --> 00:13:30,520 Speaker 3: In February fourteenth, if you haven't. 274 00:13:30,360 --> 00:13:33,160 Speaker 2: Been paying attention, and my guess is you haven't because 275 00:13:33,200 --> 00:13:35,280 Speaker 2: we all seem to have forgotten about it, there is 276 00:13:35,320 --> 00:13:38,240 Speaker 2: a partial government shutdown that's still in place, and it's 277 00:13:38,320 --> 00:13:42,400 Speaker 2: related to the Department of Homeland Security, and the Department 278 00:13:42,400 --> 00:13:47,600 Speaker 2: of Homeland Security monitors, global entry, TSA, airports, customs, all 279 00:13:47,640 --> 00:13:49,440 Speaker 2: of those things fall into that bucket. 280 00:13:49,559 --> 00:13:53,880 Speaker 1: If you don't have global entry and you're traveling, you're 281 00:13:53,880 --> 00:13:56,680 Speaker 1: going to be waiting in really long customs lines. 282 00:13:56,760 --> 00:13:56,960 Speaker 3: Yes. 283 00:13:57,360 --> 00:14:00,320 Speaker 2: Can you imagine, Let's say that you're an American and 284 00:14:00,400 --> 00:14:03,720 Speaker 2: you went to Port of Iarta for a winter vacation 285 00:14:04,000 --> 00:14:06,439 Speaker 2: Christmas take. It's freezing cold here and there's snow, and 286 00:14:06,480 --> 00:14:08,120 Speaker 2: you go down to Port of Iarda, and then you 287 00:14:08,160 --> 00:14:11,240 Speaker 2: get caught in cartel violence. And as you're sitting in 288 00:14:11,240 --> 00:14:13,800 Speaker 2: your beautiful resort in Port of Iarta, Mexico, and you're 289 00:14:13,800 --> 00:14:17,360 Speaker 2: seeing buildings and buses burning all around you, airport is 290 00:14:17,400 --> 00:14:20,400 Speaker 2: shut down. You're forced to stay longer there under some 291 00:14:20,440 --> 00:14:23,080 Speaker 2: really adverse conditions, but you make it through all of that, 292 00:14:23,400 --> 00:14:25,560 Speaker 2: and you finally get a flight out of Mexico and 293 00:14:25,600 --> 00:14:27,720 Speaker 2: you land back in the good old US of A 294 00:14:28,120 --> 00:14:30,480 Speaker 2: and you go to give them your global entry at 295 00:14:30,480 --> 00:14:32,920 Speaker 2: customs so you can go through the line faster, and 296 00:14:32,960 --> 00:14:35,760 Speaker 2: you'll like, no, I'm sorry, global entry isn't active right 297 00:14:35,800 --> 00:14:39,520 Speaker 2: now because of the partial government. Can you the salt 298 00:14:39,640 --> 00:14:43,560 Speaker 2: in the the fit that I would throw right there 299 00:14:43,600 --> 00:14:45,120 Speaker 2: at customs if that's for me? 300 00:14:45,400 --> 00:14:49,600 Speaker 1: No, you wouldn't actually throw a finging things under your breath. 301 00:14:49,760 --> 00:14:53,880 Speaker 2: Because I respect people at customs and border patrol and 302 00:14:53,920 --> 00:14:56,040 Speaker 2: I wouldn't And it's not their fault. They're just showing 303 00:14:56,120 --> 00:14:58,000 Speaker 2: up to their job every day and it's the government 304 00:14:58,040 --> 00:15:00,600 Speaker 2: that's shut down. But I would walk away to somewhere 305 00:15:00,640 --> 00:15:03,720 Speaker 2: else and i'd uh probably you'd be the source of 306 00:15:03,760 --> 00:15:08,000 Speaker 2: my venting of frustrations. You'd get to hear all about 307 00:15:08,040 --> 00:15:09,240 Speaker 2: how up said I am about it. 308 00:15:09,320 --> 00:15:13,560 Speaker 1: So, what global entry is currently suspended? You've got the 309 00:15:13,560 --> 00:15:18,760 Speaker 1: TSA pre check which was briefly stopped, but then TSA 310 00:15:18,920 --> 00:15:22,400 Speaker 1: reversed that and they kept it operating for now. 311 00:15:23,200 --> 00:15:24,560 Speaker 4: Is that what's going on? 312 00:15:24,680 --> 00:15:28,280 Speaker 2: Yeah, so global entry is not working right now because 313 00:15:28,320 --> 00:15:30,680 Speaker 2: the partial government shut down. They came out and said 314 00:15:30,720 --> 00:15:32,880 Speaker 2: that they were also going to shut down TSA pre check, 315 00:15:33,040 --> 00:15:34,840 Speaker 2: and then they backtracked on that. They open and they 316 00:15:34,840 --> 00:15:36,880 Speaker 2: said now and here's the reason why they backtracked on that, 317 00:15:36,960 --> 00:15:40,440 Speaker 2: because this government shutdown really isn't about anything other than 318 00:15:40,480 --> 00:15:43,480 Speaker 2: political theater. It's all about trying to score political points. 319 00:15:43,680 --> 00:15:47,720 Speaker 2: And both sides know that at the minute TSA PreCheck 320 00:15:47,760 --> 00:15:50,320 Speaker 2: gets shut down, it all of a sudden becomes real 321 00:15:50,360 --> 00:15:52,960 Speaker 2: to the American people because if because if, if you're 322 00:15:52,960 --> 00:15:56,400 Speaker 2: traveling on the regular and you're you're got TSA pre check, 323 00:15:56,400 --> 00:15:57,920 Speaker 2: and then all of a sudden you have to stand in. 324 00:15:57,880 --> 00:16:02,000 Speaker 3: The regular lines. Oh now, now I'm upset that there's 325 00:16:02,000 --> 00:16:02,720 Speaker 3: a partial government. 326 00:16:02,760 --> 00:16:05,120 Speaker 1: I mean, like what we do every time we travel somewhere, 327 00:16:05,200 --> 00:16:06,760 Speaker 1: every time we fly somewhere. 328 00:16:06,440 --> 00:16:09,400 Speaker 4: Which we don't do often because I prefer to drive, 329 00:16:09,560 --> 00:16:10,400 Speaker 4: but once. 330 00:16:10,280 --> 00:16:12,360 Speaker 2: Or twice a year we'll fly somewhere, and yes, I 331 00:16:12,400 --> 00:16:15,080 Speaker 2: have TSA, I have DSA PREY pre check. 332 00:16:15,400 --> 00:16:18,800 Speaker 4: We got to put this to our audience and is 333 00:16:19,200 --> 00:16:21,920 Speaker 4: that wrong? Should you not be doing that? You're TSA 334 00:16:22,080 --> 00:16:25,080 Speaker 4: PreCheck and I am not. And by the way, we 335 00:16:25,200 --> 00:16:28,520 Speaker 4: when we fly, you always say okay, see you later. 336 00:16:28,880 --> 00:16:31,520 Speaker 2: I go through TSA PreCheck and you go through with 337 00:16:31,600 --> 00:16:32,560 Speaker 2: the rest of the normies. 338 00:16:33,240 --> 00:16:36,400 Speaker 4: Right, Yes, so my line is normally longer. 339 00:16:36,120 --> 00:16:36,600 Speaker 3: Much longer. 340 00:16:36,600 --> 00:16:38,320 Speaker 4: You don't ever feel bad about leaving me. 341 00:16:38,480 --> 00:16:41,600 Speaker 3: No, I do feel bad about leaving you, but you have. 342 00:16:41,760 --> 00:16:44,840 Speaker 2: It's not like your band from getting DSA pre check. 343 00:16:44,880 --> 00:16:45,520 Speaker 3: It's not like that. 344 00:16:45,640 --> 00:16:47,800 Speaker 2: You know, you got into a fistfight with somebody at 345 00:16:47,800 --> 00:16:49,760 Speaker 2: the airport and they're like, now, I'm sorry, ma'am, you 346 00:16:49,800 --> 00:16:52,240 Speaker 2: can't be approved. You can go out and get TSA 347 00:16:52,320 --> 00:16:54,440 Speaker 2: pre check. Takes like ten minutes to sign up for 348 00:16:54,480 --> 00:16:54,960 Speaker 2: it online. 349 00:16:55,000 --> 00:16:57,240 Speaker 1: So is it on you to wait with me in 350 00:16:57,280 --> 00:16:59,760 Speaker 1: the regular line, or is it on me to go 351 00:16:59,760 --> 00:17:01,120 Speaker 1: get TSA pre check. 352 00:17:01,200 --> 00:17:04,439 Speaker 2: It's on you to go get TSA pre check, of 353 00:17:04,520 --> 00:17:08,000 Speaker 2: course it is. Yes, of course I've done the things. 354 00:17:08,040 --> 00:17:10,760 Speaker 2: I spent the ten minutes on the website signing up 355 00:17:10,760 --> 00:17:13,040 Speaker 2: for TSA PreCheck years ago than. 356 00:17:13,040 --> 00:17:15,200 Speaker 1: Ten minutes you had to go get interviewed or something, 357 00:17:15,200 --> 00:17:16,520 Speaker 1: didn't you, h Yeah, But that. 358 00:17:16,440 --> 00:17:18,399 Speaker 2: Was way back when TSA PreCheck started. You don't have 359 00:17:18,440 --> 00:17:19,600 Speaker 2: to do any of that stuff anymore. 360 00:17:19,680 --> 00:17:19,800 Speaker 6: Now. 361 00:17:19,840 --> 00:17:20,719 Speaker 4: You just go on the website. 362 00:17:20,720 --> 00:17:21,879 Speaker 2: You just go on the website and you give them 363 00:17:21,920 --> 00:17:23,960 Speaker 2: your information. You got to uploads, some documents and that 364 00:17:23,960 --> 00:17:26,320 Speaker 2: sort of stuff. It takes literally takes ten minutes, that's all. 365 00:17:26,520 --> 00:17:26,680 Speaker 5: You. 366 00:17:26,760 --> 00:17:30,400 Speaker 2: If you invested ten minutes of your time to get 367 00:17:30,520 --> 00:17:34,479 Speaker 2: tsa pre check, you would save hours and hours of 368 00:17:34,560 --> 00:17:38,240 Speaker 2: standing in line when you go to your airport. Are 369 00:17:38,280 --> 00:17:40,560 Speaker 2: you comfortable with the fact that I go through tsa 370 00:17:40,640 --> 00:17:42,920 Speaker 2: PreCheck at the airport while you're stuck in the regular lines? 371 00:17:42,960 --> 00:17:44,240 Speaker 3: Are you? Are you good with that? 372 00:17:44,400 --> 00:17:44,440 Speaker 1: No? 373 00:17:44,640 --> 00:17:46,160 Speaker 4: I'm not good with that. We are you to wait 374 00:17:46,160 --> 00:17:46,760 Speaker 4: in line with me? 375 00:17:50,000 --> 00:17:52,879 Speaker 2: So you would rather you would rather drag me down 376 00:17:52,960 --> 00:17:56,240 Speaker 2: to your level? Oh wow, then spend a few minutes 377 00:17:56,640 --> 00:17:58,679 Speaker 2: to rise up and get tsa PreCheck. 378 00:17:58,880 --> 00:17:59,320 Speaker 4: Rise up? 379 00:17:59,560 --> 00:18:00,000 Speaker 5: Please? 380 00:18:01,040 --> 00:18:01,080 Speaker 1: You? 381 00:18:01,200 --> 00:18:02,760 Speaker 3: For years to do that, it. 382 00:18:02,720 --> 00:18:03,719 Speaker 4: Was only ten minutes. 383 00:18:03,760 --> 00:18:05,600 Speaker 1: Now, I thought you had to go get interviewed and 384 00:18:05,640 --> 00:18:07,200 Speaker 1: that was like a whole thing, like you had to 385 00:18:07,280 --> 00:18:10,000 Speaker 1: drive an hour away for the interview. 386 00:18:10,119 --> 00:18:13,480 Speaker 4: No, the first originally did this, Yes, but. 387 00:18:13,480 --> 00:18:15,880 Speaker 2: That was ages ago. That was that was like fifteen 388 00:18:15,960 --> 00:18:18,760 Speaker 2: years ago. The process I have process. 389 00:18:18,760 --> 00:18:20,919 Speaker 1: Okay, so we're gonna say this, this is on me. 390 00:18:21,359 --> 00:18:24,840 Speaker 1: This is on me to get tsa jet. 391 00:18:25,400 --> 00:18:25,800 Speaker 6: Thank you. 392 00:18:26,000 --> 00:18:28,119 Speaker 4: So we don't even fly that often. It's not that 393 00:18:28,160 --> 00:18:28,720 Speaker 4: big of a deal. 394 00:18:29,200 --> 00:18:31,440 Speaker 2: I'm gonna go back and I'm gonna clip this segment 395 00:18:31,480 --> 00:18:34,040 Speaker 2: of the show out because if we fly next time 396 00:18:34,280 --> 00:18:36,680 Speaker 2: and you don't have TSA pre check, I'm gonna bust 397 00:18:36,720 --> 00:18:38,480 Speaker 2: out my phone and play this clip of the show 398 00:18:38,520 --> 00:18:40,320 Speaker 2: and be like, yes said you were gonna go. 399 00:18:40,520 --> 00:18:43,880 Speaker 1: You ever concerned that I'm not gonna get through security, 400 00:18:44,200 --> 00:18:46,439 Speaker 1: like you're ever like, is she really gonna make it through? 401 00:18:46,640 --> 00:18:49,399 Speaker 1: They're gonna patter down. I'm gonna stop her, like because 402 00:18:49,400 --> 00:18:50,320 Speaker 1: you're always. 403 00:18:49,960 --> 00:18:50,720 Speaker 4: Waiting for me. 404 00:18:51,359 --> 00:18:54,399 Speaker 1: You you go through the TSA pre check, you hustle 405 00:18:54,480 --> 00:18:57,399 Speaker 1: through really quick, and then I have to work my 406 00:18:57,480 --> 00:19:00,440 Speaker 1: way through the stanchions and the long line, and then 407 00:19:00,440 --> 00:19:03,720 Speaker 1: eventually I get there and you're standing there waiting for me, 408 00:19:04,160 --> 00:19:05,159 Speaker 1: Like what are you doing? 409 00:19:06,080 --> 00:19:08,680 Speaker 4: You're just like hanging out waiting for me to get 410 00:19:08,680 --> 00:19:09,200 Speaker 4: through the line. 411 00:19:09,280 --> 00:19:10,560 Speaker 3: I watch you go through the line. 412 00:19:10,760 --> 00:19:12,480 Speaker 2: I watch as you go back and forth through the 413 00:19:12,480 --> 00:19:14,600 Speaker 2: stanchions and then you know, go in that little machine 414 00:19:14,600 --> 00:19:16,119 Speaker 2: where you've got to lift your arms up and it, 415 00:19:16,400 --> 00:19:18,439 Speaker 2: you know, does the little wooh woosh, and then I 416 00:19:18,480 --> 00:19:20,520 Speaker 2: watch you stand there and get your bag out of 417 00:19:20,520 --> 00:19:21,280 Speaker 2: the X ray machine. 418 00:19:21,400 --> 00:19:23,080 Speaker 4: You've got eyes on the whole time. 419 00:19:22,880 --> 00:19:24,520 Speaker 3: I'm watching you the whole time, but you're not. 420 00:19:24,480 --> 00:19:28,680 Speaker 1: Doing anything with your extra available time that you've saved 421 00:19:28,760 --> 00:19:30,440 Speaker 1: getting that TSA pre check. 422 00:19:30,760 --> 00:19:31,800 Speaker 3: I'm making sure you get through. 423 00:19:31,840 --> 00:19:36,880 Speaker 1: Okay, okay, Now, when you're flying alone, you're probably off 424 00:19:36,920 --> 00:19:37,800 Speaker 1: to the gate quick. 425 00:19:38,119 --> 00:19:38,320 Speaker 3: Yeah. 426 00:19:38,320 --> 00:19:40,160 Speaker 2: Well I could show up to the airport twenty minutes 427 00:19:40,240 --> 00:19:42,439 Speaker 2: later because I know that I'll go whizz through on 428 00:19:42,560 --> 00:19:45,119 Speaker 2: TSA and I don't have, you know, to wait at 429 00:19:45,119 --> 00:19:46,880 Speaker 2: the end of the regular security line. 430 00:19:47,000 --> 00:19:49,640 Speaker 4: Yes, well, thank you for waiting for me. That's very 431 00:19:49,760 --> 00:19:50,320 Speaker 4: very sweet. 432 00:19:51,520 --> 00:19:55,240 Speaker 2: And remember you said it. This isn't on me, This 433 00:19:55,320 --> 00:19:58,159 Speaker 2: is on you for not going and getting to You see. 434 00:19:57,880 --> 00:20:00,000 Speaker 1: That the Indie Airport's going to be adding some new 435 00:20:00,080 --> 00:20:05,399 Speaker 1: food and drink options. Daredevil Brewing Company is going to 436 00:20:05,440 --> 00:20:08,320 Speaker 1: be featured in a new spot called lift Off, and 437 00:20:08,359 --> 00:20:11,560 Speaker 1: they're going to serve craft beer and tavern style pizzas. 438 00:20:11,680 --> 00:20:14,840 Speaker 1: This is going to happen in Concourse A and they 439 00:20:14,880 --> 00:20:18,159 Speaker 1: also have a new coffee and food concept called Java 440 00:20:18,240 --> 00:20:19,280 Speaker 1: House Bistro. 441 00:20:19,880 --> 00:20:20,720 Speaker 4: So that's what you. 442 00:20:20,640 --> 00:20:23,200 Speaker 1: Can do next time you fly, you can go check 443 00:20:23,200 --> 00:20:24,640 Speaker 1: out these new new spots. 444 00:20:24,760 --> 00:20:28,560 Speaker 2: Yeah, and smart, Look, I don't understand why airports don't 445 00:20:28,560 --> 00:20:32,400 Speaker 2: have more places that serve coffee, Like most airports. 446 00:20:31,920 --> 00:20:33,520 Speaker 4: In the India got like one Starbucks. 447 00:20:33,640 --> 00:20:35,920 Speaker 2: Yeah, the Indie Airport is guilty of this as well, 448 00:20:35,960 --> 00:20:38,000 Speaker 2: so it's good they're adding another coffee place. But come on, 449 00:20:38,080 --> 00:20:42,159 Speaker 2: coffee is usually one of the primary things that people 450 00:20:42,200 --> 00:20:44,359 Speaker 2: purchase when they're at the airport because we're all getting 451 00:20:44,440 --> 00:20:47,080 Speaker 2: up early and we're all traveling and that's a chore 452 00:20:47,160 --> 00:20:49,439 Speaker 2: and we need that little extra boost of energy. And 453 00:20:49,560 --> 00:20:52,640 Speaker 2: usually most airports, including the Indie Airport, have like one 454 00:20:52,680 --> 00:20:56,480 Speaker 2: Starbucks in your concourse and there's fifteen people waiting in 455 00:20:56,520 --> 00:20:58,359 Speaker 2: line and it takes you forty five minutes to get 456 00:20:58,400 --> 00:20:59,040 Speaker 2: a simple coffee. 457 00:20:59,080 --> 00:21:02,360 Speaker 1: They're also going to so kind of rotate some specialty 458 00:21:03,000 --> 00:21:05,679 Speaker 1: food spots, and they're also going to renovate shapiros. 459 00:21:06,119 --> 00:21:14,359 Speaker 4: You're listing to ninety three WIBC. Sure, refunds are going 460 00:21:14,400 --> 00:21:16,119 Speaker 4: to be higher, but that just means. 461 00:21:15,880 --> 00:21:18,320 Speaker 1: You overpaid throughout the year and you're just getting your 462 00:21:18,359 --> 00:21:19,320 Speaker 1: own money back. 463 00:21:20,080 --> 00:21:21,120 Speaker 4: Bigger refunds. 464 00:21:21,240 --> 00:21:25,200 Speaker 1: They're nice, but they don't automatically mean better long term 465 00:21:25,280 --> 00:21:29,680 Speaker 1: tax fairness or even lower tax bills overall. So it's 466 00:21:29,760 --> 00:21:32,840 Speaker 1: being reported that the average federal tax refund it's going 467 00:21:32,920 --> 00:21:36,640 Speaker 1: to be significantly higher this year, especially compared to last year, 468 00:21:37,000 --> 00:21:42,400 Speaker 1: up around fourteen percent or more. So far, the average 469 00:21:42,400 --> 00:21:46,160 Speaker 1: refund is going to be in the mid twenty four hundreds. 470 00:21:46,640 --> 00:21:51,280 Speaker 2: So this is mostly driven by the One Big Beautiful 471 00:21:51,320 --> 00:21:53,920 Speaker 2: Bill Act that was passed in twenty twenty five. So 472 00:21:54,160 --> 00:21:57,359 Speaker 2: keep in mind here this is another example of the 473 00:21:57,400 --> 00:22:01,080 Speaker 2: government picking winners and losers because who benefits from this. Well, 474 00:22:01,119 --> 00:22:03,600 Speaker 2: if you've got a child under eighteen, they increase the 475 00:22:03,640 --> 00:22:06,320 Speaker 2: income tax the child tax credit, so there's that, there's 476 00:22:06,359 --> 00:22:11,000 Speaker 2: a new deduction for seniors, things like deductions for you know, 477 00:22:11,160 --> 00:22:13,879 Speaker 2: the no tax on overtime, no tax on tips. So 478 00:22:13,960 --> 00:22:15,920 Speaker 2: and by the way, if you live in a state 479 00:22:16,000 --> 00:22:19,840 Speaker 2: that has super high property taxes and income taxes and 480 00:22:19,880 --> 00:22:23,280 Speaker 2: state taxes, it's called the salt tax deduction that was increased. 481 00:22:23,560 --> 00:22:26,240 Speaker 2: So but if you don't qualify for any of those things, 482 00:22:26,280 --> 00:22:30,600 Speaker 2: which huge chunks of the American public don't qualify for 483 00:22:30,680 --> 00:22:32,960 Speaker 2: any of those things, you're really not going to see 484 00:22:33,000 --> 00:22:36,280 Speaker 2: a bigger tax refund this year. And that's the vast 485 00:22:36,320 --> 00:22:38,920 Speaker 2: majority of people. Oh and by the way, the One 486 00:22:39,000 --> 00:22:41,800 Speaker 2: Big Beautiful Bill Act, where you can thank them for 487 00:22:41,880 --> 00:22:44,840 Speaker 2: these tax refunds it's also going to add an additional 488 00:22:44,960 --> 00:22:48,040 Speaker 2: five trillion dollars on the national debt. Why do you 489 00:22:48,160 --> 00:22:51,800 Speaker 2: think that we had such crazy, out of control inflation 490 00:22:52,200 --> 00:22:56,520 Speaker 2: under Joe Biden. It's because during COVID, the US government 491 00:22:56,520 --> 00:23:00,440 Speaker 2: spent more than a trillion dollars in absolute free money 492 00:23:00,480 --> 00:23:05,320 Speaker 2: giveaways to both individuals and businesses. They flooded the marketplace 493 00:23:05,359 --> 00:23:08,120 Speaker 2: with money, and so the price of everything went through 494 00:23:08,160 --> 00:23:10,719 Speaker 2: the roof. This is just another example of that. So 495 00:23:10,840 --> 00:23:13,400 Speaker 2: if you qualify one of these tax it breaks great. 496 00:23:13,480 --> 00:23:14,400 Speaker 3: I'm happy for you. 497 00:23:14,720 --> 00:23:17,560 Speaker 2: Not all of us do, but keep in mind this 498 00:23:17,680 --> 00:23:20,840 Speaker 2: is only going to produce more inflation. The big beautiful 499 00:23:20,880 --> 00:23:24,240 Speaker 2: bill is going to add another five trillion dollars under 500 00:23:24,280 --> 00:23:25,000 Speaker 2: the national debt. 501 00:23:25,160 --> 00:23:27,199 Speaker 1: Yeah, so you also have a lot of people that 502 00:23:27,240 --> 00:23:31,520 Speaker 1: didn't change there withholding to match any new tax cuts. 503 00:23:31,560 --> 00:23:34,680 Speaker 1: And so when you get this big check back, you're thinking. 504 00:23:34,359 --> 00:23:35,639 Speaker 4: Who look at me? Yay? 505 00:23:36,080 --> 00:23:39,119 Speaker 1: No, that was your money all along, the government was 506 00:23:39,280 --> 00:23:43,359 Speaker 1: just using it. And now you've got some amounts that 507 00:23:43,400 --> 00:23:47,280 Speaker 1: are going to vary a lot by income filing status, 508 00:23:47,320 --> 00:23:51,920 Speaker 1: also your individual tax situation. Not everybody is going to 509 00:23:51,960 --> 00:23:53,440 Speaker 1: get a bigger refund too. 510 00:23:53,680 --> 00:23:55,320 Speaker 3: Well, and let's be honest here too. 511 00:23:55,840 --> 00:23:57,879 Speaker 2: You know, Trump's been selling this that these are going 512 00:23:57,960 --> 00:24:01,600 Speaker 2: to be the largest refunds in American history. Americans are 513 00:24:01,600 --> 00:24:04,479 Speaker 2: gonna see the largest refunds in history. Ten twenty thousand 514 00:24:04,560 --> 00:24:06,720 Speaker 2: dollars were the types of numbers he was thrown out there. 515 00:24:06,840 --> 00:24:09,640 Speaker 2: Oh yeah, if you're super rich. Sure, if you're super rich, 516 00:24:09,720 --> 00:24:11,520 Speaker 2: that's gonna be wonderful and fantastic for you. 517 00:24:11,640 --> 00:24:12,600 Speaker 3: So a lot of. 518 00:24:12,560 --> 00:24:14,760 Speaker 2: People have been selling this. Trump's been pushing it like 519 00:24:14,800 --> 00:24:16,359 Speaker 2: it's the greatest thing in the world. There's gonna be 520 00:24:16,359 --> 00:24:18,159 Speaker 2: a huge chunk of the American public that's going to 521 00:24:18,200 --> 00:24:20,000 Speaker 2: look at their tax refund and go, this is it. 522 00:24:20,600 --> 00:24:21,439 Speaker 3: This is what I got. 523 00:24:22,320 --> 00:24:25,000 Speaker 2: It's not very much. And again it's the government picking 524 00:24:25,040 --> 00:24:27,840 Speaker 2: winners and losers. If you earn overtime, okay, fine, good 525 00:24:27,840 --> 00:24:29,960 Speaker 2: for you. If you're a senior, you got a little something. 526 00:24:30,080 --> 00:24:32,120 Speaker 2: If you got a kid who's under eighteen and independent, 527 00:24:32,240 --> 00:24:34,680 Speaker 2: you're gonna get a little something. But a huge chunk 528 00:24:34,720 --> 00:24:36,639 Speaker 2: of the American population not gonna get anything. 529 00:24:36,840 --> 00:24:39,159 Speaker 4: I everything you just listed I don't qualify for. 530 00:24:39,359 --> 00:24:41,080 Speaker 2: Well, maybe that's why I'm so upset about it, because 531 00:24:41,080 --> 00:24:42,560 Speaker 2: we don't qualify for any of that stuff. 532 00:24:42,680 --> 00:24:44,879 Speaker 3: We don't qualify for one of those. What about me? 533 00:24:45,200 --> 00:24:47,560 Speaker 2: The no tax on tips that's not me. No tax 534 00:24:47,600 --> 00:24:49,399 Speaker 2: on overtime, that's not me. Don't have a kid that 535 00:24:49,440 --> 00:24:51,320 Speaker 2: can get a child Trax credit. I'm not a senior 536 00:24:51,400 --> 00:24:53,320 Speaker 2: yet I'm gonna get I'm one of the people, the 537 00:24:53,359 --> 00:24:56,480 Speaker 2: American part of the American population that's not gonna get 538 00:24:56,600 --> 00:24:59,720 Speaker 2: one extra bit of tax refund this year. 539 00:25:00,000 --> 00:25:03,480 Speaker 1: Okay, speaking of taxes, who's your taxpayers shouldn't be paying 540 00:25:03,480 --> 00:25:05,879 Speaker 1: the bill for a new billionaires stadium? 541 00:25:06,040 --> 00:25:10,160 Speaker 4: Right, let's talk about the Bears and that state fiscal 542 00:25:10,320 --> 00:25:11,760 Speaker 4: report that came out. 543 00:25:11,800 --> 00:25:16,479 Speaker 1: It's the Fiscal Impact Statement, and it outlines millions in 544 00:25:16,560 --> 00:25:20,920 Speaker 1: tax increases. Senate Bill twenty seven could lead to millions 545 00:25:20,920 --> 00:25:23,320 Speaker 1: and new taxes collected in northwest Indiana. 546 00:25:24,280 --> 00:25:26,880 Speaker 3: All right, Casey, are you ready for a little math here? 547 00:25:27,280 --> 00:25:28,200 Speaker 4: No, I hate math. 548 00:25:28,240 --> 00:25:30,040 Speaker 2: Now we're gonna do some math. Anyway, that was I 549 00:25:30,080 --> 00:25:33,280 Speaker 2: shouldn't ask that question. Let me start again, Casey, get 550 00:25:33,320 --> 00:25:36,320 Speaker 2: ready for some math? Okay, yeah, all right, So the 551 00:25:36,480 --> 00:25:39,240 Speaker 2: state is and these numbers are rough numbers here, but 552 00:25:39,280 --> 00:25:41,800 Speaker 2: you'll make the point. The state is contributing about a 553 00:25:41,880 --> 00:25:45,080 Speaker 2: billion dollars. So the math on and how they're going 554 00:25:45,119 --> 00:25:47,440 Speaker 2: to make up for that one percent food and beverage 555 00:25:47,480 --> 00:25:50,000 Speaker 2: tax in Lake and Porter Counties. The estimates on that 556 00:25:50,240 --> 00:25:53,359 Speaker 2: is that'll bring in about twelve million dollars annually. Okay, 557 00:25:53,440 --> 00:25:55,840 Speaker 2: just keep that number in mind. They're doubling the hotel 558 00:25:55,880 --> 00:25:57,760 Speaker 2: tax in Lake County and that's going to bring in 559 00:25:57,800 --> 00:26:00,760 Speaker 2: about another five million dollars a year. Then there's going 560 00:26:00,800 --> 00:26:02,639 Speaker 2: to be an admissions tax. So anytime you go to 561 00:26:02,640 --> 00:26:04,960 Speaker 2: the stadium p twelve percent. Anytime you go to the 562 00:26:04,960 --> 00:26:07,359 Speaker 2: stadium for any event like a Bear's game, you're gonna 563 00:26:07,359 --> 00:26:09,240 Speaker 2: be twelve percent on your tickets. I did the math 564 00:26:09,320 --> 00:26:12,120 Speaker 2: on that. Bears get about a million dollars in revenue 565 00:26:12,359 --> 00:26:15,280 Speaker 2: from a single game twelve percent. It's about a million 566 00:26:15,280 --> 00:26:18,000 Speaker 2: and a half dollars. We'll call that fifteen million dollars 567 00:26:18,040 --> 00:26:19,399 Speaker 2: a year in annual revenue. 568 00:26:19,680 --> 00:26:20,600 Speaker 3: So add it all up. 569 00:26:20,880 --> 00:26:23,720 Speaker 2: Fifteen million from the food and beverage tax, five million 570 00:26:23,800 --> 00:26:28,680 Speaker 2: from the hotel tax, fifteen million from the event tax. 571 00:26:28,760 --> 00:26:31,600 Speaker 2: We're at thirty million, thirty five million, and the state 572 00:26:31,640 --> 00:26:36,960 Speaker 2: is spending one billion. I'm trying to figure out where 573 00:26:36,960 --> 00:26:40,080 Speaker 2: the other money is going to come from. And here's 574 00:26:40,119 --> 00:26:43,040 Speaker 2: where it's coming from not so specific on this part. 575 00:26:43,119 --> 00:26:47,200 Speaker 2: These details are fuzzy, but the Northwest Indiana Professional Sports 576 00:26:47,240 --> 00:26:52,680 Speaker 2: Development Area could capture additional tax revenue on sales income 577 00:26:52,800 --> 00:26:55,240 Speaker 2: and use taxes to support the stadium. Oh and by 578 00:26:55,280 --> 00:26:58,800 Speaker 2: the way, they're trying to renegotiate the Indiana Toll Road lease. 579 00:26:58,840 --> 00:27:00,959 Speaker 2: The eighty ninety toll road runs in the northern part 580 00:27:01,000 --> 00:27:03,760 Speaker 2: of the state. They're trying to renegotiate that and put 581 00:27:03,760 --> 00:27:06,440 Speaker 2: the savings toward this as well. Seems like we're still 582 00:27:06,520 --> 00:27:10,080 Speaker 2: left with a massive shortfall to get to a billion dollars? 583 00:27:10,520 --> 00:27:14,280 Speaker 1: Is it worth it to have the Chicago Bears in Indiana? 584 00:27:14,320 --> 00:27:17,840 Speaker 4: You've got tax sikes for beer, hotels, and tickets. 585 00:27:17,880 --> 00:27:22,240 Speaker 1: All a little sneaky, right, sneaky ways for everyday people 586 00:27:22,640 --> 00:27:24,720 Speaker 1: to pay for these big sports projects. 587 00:27:24,760 --> 00:27:26,399 Speaker 3: My point though, all this is it doesn't seem to 588 00:27:26,400 --> 00:27:26,800 Speaker 3: add up. 589 00:27:26,880 --> 00:27:28,800 Speaker 2: It seems like we're looking at thirty five million dollars 590 00:27:28,840 --> 00:27:31,240 Speaker 2: a year in additional taxes, yet we're going to be 591 00:27:31,320 --> 00:27:34,280 Speaker 2: spending a billion dollars in public funds on this. Where 592 00:27:34,359 --> 00:27:36,080 Speaker 2: is the rest of the money coming from? And I'm 593 00:27:36,119 --> 00:27:38,520 Speaker 2: afraid that's going to come from that kind of non 594 00:27:38,600 --> 00:27:43,240 Speaker 2: specific area about the additional sales, income use taxes, toll 595 00:27:43,320 --> 00:27:44,439 Speaker 2: road renegotiation. 596 00:27:45,920 --> 00:27:47,960 Speaker 3: That seems like where the vast majority is going to 597 00:27:48,000 --> 00:27:48,359 Speaker 3: come from. 598 00:27:48,600 --> 00:27:51,640 Speaker 1: So you've got John Mellencamp who was on with Bill 599 00:27:51,680 --> 00:27:53,600 Speaker 1: Maher and they were talking about. 600 00:27:53,359 --> 00:27:54,399 Speaker 4: Well, a lot of things. 601 00:27:54,720 --> 00:27:57,600 Speaker 1: First of all, they were talking about farmers, and it 602 00:27:57,680 --> 00:28:02,119 Speaker 1: seemed like at one point Bill Maher actually he was 603 00:28:02,560 --> 00:28:05,280 Speaker 1: he was stumping John Mellencamp on something. 604 00:28:05,359 --> 00:28:07,920 Speaker 4: He just was befuddled. Listen to this. 605 00:28:08,560 --> 00:28:11,080 Speaker 7: The way that they tell us to eat now, you 606 00:28:11,119 --> 00:28:12,280 Speaker 7: couldn't eat that. 607 00:28:12,280 --> 00:28:14,720 Speaker 5: That's the way we ate back then. But the food 608 00:28:14,920 --> 00:28:16,520 Speaker 5: was real food, real food. 609 00:28:16,600 --> 00:28:20,280 Speaker 7: Yeah, you know when we started farm Aide, Willie and 610 00:28:20,400 --> 00:28:24,320 Speaker 7: Neil and I I think all of us were naive 611 00:28:24,480 --> 00:28:27,879 Speaker 7: enough to think that if we do this show that 612 00:28:27,960 --> 00:28:30,679 Speaker 7: the politicians ago, these guys have a good point. We 613 00:28:30,800 --> 00:28:36,399 Speaker 7: need to help the small family farmer. No, it's going 614 00:28:36,480 --> 00:28:39,760 Speaker 7: to take more than a concert. It's going to take 615 00:28:39,800 --> 00:28:41,400 Speaker 7: more than a march to get rid. 616 00:28:41,280 --> 00:28:45,440 Speaker 5: Of Trump wrote a lot of checks to farmers. Huh. 617 00:28:45,600 --> 00:28:49,600 Speaker 8: Trump wrote a lot of Czechs to farmers because he 618 00:28:50,280 --> 00:28:53,680 Speaker 8: them often with like tyrups and stuff, right like he 619 00:28:53,760 --> 00:28:56,600 Speaker 8: did stuff or the first term there was like, you know, 620 00:28:56,840 --> 00:28:59,880 Speaker 8: trade deals with China that we want. We wanted to 621 00:29:00,280 --> 00:29:03,200 Speaker 8: know so China, who's boss and who pays It's the 622 00:29:03,240 --> 00:29:05,240 Speaker 8: people who sell soybeans to China. 623 00:29:05,440 --> 00:29:05,480 Speaker 5: No. 624 00:29:05,640 --> 00:29:11,440 Speaker 7: Yeah, but so if you watch, if you watch in 625 00:29:11,520 --> 00:29:14,560 Speaker 7: the video that I made for a song called Rain 626 00:29:14,640 --> 00:29:18,280 Speaker 7: on the Scarecrow, it's talking to say young farmers and 627 00:29:18,360 --> 00:29:21,640 Speaker 7: it talks about that, and that was nineteen eighty. 628 00:29:21,520 --> 00:29:26,840 Speaker 1: Three, it seems like Mellencamp is a little disconnected there. 629 00:29:27,080 --> 00:29:29,720 Speaker 2: Well, this is the problem when we look to celebrities 630 00:29:29,760 --> 00:29:34,160 Speaker 2: to have really difficult conversations about what's wrong in our 631 00:29:34,200 --> 00:29:35,920 Speaker 2: country and about the political situation. 632 00:29:36,040 --> 00:29:37,760 Speaker 3: It turns out maybe. 633 00:29:37,560 --> 00:29:39,480 Speaker 2: A hard case may be surprised to hear this, but 634 00:29:39,520 --> 00:29:41,480 Speaker 2: it turns out celebrities really. 635 00:29:41,280 --> 00:29:44,520 Speaker 3: Don't know a whole lot about that. These are really difficult, 636 00:29:44,520 --> 00:29:45,520 Speaker 3: hard situations. 637 00:29:45,600 --> 00:29:49,880 Speaker 2: People that have studied these problems for decades have trouble understanding. 638 00:29:49,360 --> 00:29:50,680 Speaker 3: Them and come up solutions. 639 00:29:50,800 --> 00:29:53,040 Speaker 2: So to think that we're going to go to celebrities 640 00:29:53,160 --> 00:29:57,560 Speaker 2: and have an in depth, intelligent conversation about difficult situations 641 00:29:57,560 --> 00:29:58,640 Speaker 2: in our country. 642 00:29:58,280 --> 00:30:00,000 Speaker 3: Right now, it's ridiculous. 643 00:30:00,080 --> 00:30:03,160 Speaker 2: And John Mellencamp just comes across as being totally out 644 00:30:03,160 --> 00:30:03,959 Speaker 2: of his League on this. 645 00:30:04,680 --> 00:30:05,160 Speaker 4: It did. 646 00:30:05,280 --> 00:30:08,280 Speaker 1: It did seem like that his comment stood out as 647 00:30:08,320 --> 00:30:12,920 Speaker 1: like unexpected. Yes, technically true, Trump did provide those checks 648 00:30:12,920 --> 00:30:18,479 Speaker 1: two billion dollars in economic assistance to US farmers because 649 00:30:18,520 --> 00:30:23,400 Speaker 1: they were struggling with the exports from China, especially, you know, 650 00:30:23,520 --> 00:30:27,080 Speaker 1: these trade tensions, and Bill Marre. 651 00:30:26,960 --> 00:30:31,360 Speaker 2: Pointed to that out huh yeah again, celebrity. This is 652 00:30:31,400 --> 00:30:35,840 Speaker 2: why celebrities are usually and typically way out of their 653 00:30:35,880 --> 00:30:38,960 Speaker 2: field on these conversations. These are really difficult problems to 654 00:30:39,000 --> 00:30:41,880 Speaker 2: even understand, much less solved. And then you've got a 655 00:30:41,880 --> 00:30:45,240 Speaker 2: celebrity who thinks their opinion is more important than your opinion, 656 00:30:45,320 --> 00:30:46,640 Speaker 2: so much so that they're going to go on a 657 00:30:46,640 --> 00:30:48,680 Speaker 2: show with Bill Martin tell you all about what they think, 658 00:30:48,800 --> 00:30:50,760 Speaker 2: and then they get stumped on an easy question like this. 659 00:30:50,840 --> 00:30:54,440 Speaker 2: John Mellencamp just looked like he looked like a celebrity, 660 00:30:54,480 --> 00:30:55,680 Speaker 2: an uninformed celebrity. 661 00:30:56,080 --> 00:30:56,520 Speaker 4: He did. 662 00:30:57,200 --> 00:31:00,880 Speaker 1: He he did seem like he was a poe. Obviously 663 00:31:01,040 --> 00:31:04,880 Speaker 1: Trump's trade wars and that view I think will resonate 664 00:31:05,040 --> 00:31:08,040 Speaker 1: with some Hoosiers. Though here he is talking about the 665 00:31:08,080 --> 00:31:10,360 Speaker 1: first time that he met Donald Trump. 666 00:31:10,480 --> 00:31:16,400 Speaker 7: And cut to another time I saw him at some 667 00:31:16,760 --> 00:31:20,360 Speaker 7: award for I don't know something. Couldn't have been nicer. 668 00:31:21,360 --> 00:31:26,240 Speaker 7: Then I saw him again, couldn't have been nicer. And 669 00:31:26,280 --> 00:31:30,040 Speaker 7: then when I saw him running for president, I thought, 670 00:31:30,040 --> 00:31:31,120 Speaker 7: who is this guy? 671 00:31:31,160 --> 00:31:33,640 Speaker 5: Exactly, It's exactly what I said when. 672 00:31:33,480 --> 00:31:36,600 Speaker 8: I gave my report about the White House dinner and 673 00:31:36,680 --> 00:31:39,920 Speaker 8: people were attacking me, and I said exactly that I 674 00:31:40,000 --> 00:31:42,160 Speaker 8: went to that dinner and he was this nice guy 675 00:31:42,600 --> 00:31:46,200 Speaker 8: and you know, never argued with me, like allowed me 676 00:31:46,360 --> 00:31:49,600 Speaker 8: to dissent on anything, and just confront him with anything. 677 00:31:49,680 --> 00:31:51,280 Speaker 5: It wasn't blustery. 678 00:31:51,640 --> 00:31:53,640 Speaker 8: And then I went home and when I got home, 679 00:31:53,680 --> 00:31:55,840 Speaker 8: I turned on sixty minutes and there he was, like 680 00:31:55,880 --> 00:31:56,800 Speaker 8: on sixty minutes. 681 00:31:57,240 --> 00:31:59,920 Speaker 5: People are terrible people. I'm like, who the heck is this? 682 00:32:00,160 --> 00:32:01,400 Speaker 3: I know exactly. 683 00:32:01,480 --> 00:32:06,000 Speaker 8: You know again the small mindedness of so many people 684 00:32:06,080 --> 00:32:08,440 Speaker 8: on the far left that they can't under they're so 685 00:32:08,560 --> 00:32:11,920 Speaker 8: emotional about Donald Trump. They don't get it that. Yeah, 686 00:32:11,960 --> 00:32:17,040 Speaker 8: of course he is this crazy person. He's playing in public, 687 00:32:18,560 --> 00:32:20,680 Speaker 8: like you keep two thoughts in your head at the 688 00:32:20,680 --> 00:32:24,920 Speaker 8: same time. He's not that person always. He's a very 689 00:32:24,960 --> 00:32:28,360 Speaker 8: different guy. Like, let's figure out how to use that 690 00:32:28,440 --> 00:32:31,880 Speaker 8: to our advantage instead of just saying don't talk to 691 00:32:31,960 --> 00:32:32,560 Speaker 8: that guy. 692 00:32:32,760 --> 00:32:36,440 Speaker 5: Now, let's talk to that guy. Yeah, I think I know. 693 00:32:36,520 --> 00:32:38,360 Speaker 4: The problem there. When Bill Maher was saying that he 694 00:32:38,400 --> 00:32:40,480 Speaker 4: turned on sixty minutes, Oh. 695 00:32:40,400 --> 00:32:42,200 Speaker 3: Yeah, sixty minutes, is that the problem? 696 00:32:42,240 --> 00:32:44,680 Speaker 4: That's the poor problem. I've identified it. 697 00:32:44,800 --> 00:32:46,560 Speaker 3: Look, this is why I like Bill Maher. 698 00:32:46,880 --> 00:32:49,760 Speaker 1: He seems to come and go with whatever way the 699 00:32:49,800 --> 00:32:53,400 Speaker 1: wind is blowing based on his guest though true. 700 00:32:53,520 --> 00:32:55,680 Speaker 2: But the reason why I like Bill Maher, even though 701 00:32:55,720 --> 00:32:58,360 Speaker 2: he and I disagree on so much, is he approaches 702 00:32:58,400 --> 00:33:01,760 Speaker 2: these topics with a certain set of intellectual honesty, and 703 00:33:01,800 --> 00:33:03,840 Speaker 2: he's not afraid to call out his own party when 704 00:33:03,880 --> 00:33:06,120 Speaker 2: he thinks that they're wrong. And he addresses these and 705 00:33:06,120 --> 00:33:08,080 Speaker 2: looks and sits there and says, Look, i may disagree 706 00:33:08,120 --> 00:33:10,080 Speaker 2: with everything that Trump does, but I'm still going to 707 00:33:10,160 --> 00:33:12,560 Speaker 2: have a conversation with the guy. Compare that to what 708 00:33:12,560 --> 00:33:14,000 Speaker 2: we're going to see at the State of the Union 709 00:33:14,040 --> 00:33:16,760 Speaker 2: tonight when Donald Trump gives his speech and half of 710 00:33:16,800 --> 00:33:18,920 Speaker 2: the audience is going to be gone because tons of 711 00:33:19,000 --> 00:33:21,200 Speaker 2: Democrats don't want to even be in the same room 712 00:33:21,240 --> 00:33:23,600 Speaker 2: as Donald Trump, much less have a conversation with him. 713 00:33:23,840 --> 00:33:26,080 Speaker 1: Well, you've got Mellencamp on one side saying that he 714 00:33:26,080 --> 00:33:28,600 Speaker 1: couldn't have been nicer. And then you've got Bill Maher 715 00:33:28,800 --> 00:33:33,280 Speaker 1: saying that he's different in public versus private, which is 716 00:33:33,320 --> 00:33:37,680 Speaker 1: a total disconnect, and it really does. It does do 717 00:33:37,840 --> 00:33:43,600 Speaker 1: away with the Trump derangement syndrome of the one dimensional 718 00:33:43,760 --> 00:33:47,160 Speaker 1: side that they the left always tries to portray Trump 719 00:33:47,200 --> 00:33:47,920 Speaker 1: as well. 720 00:33:48,000 --> 00:33:50,120 Speaker 2: Yes, and again, the reason why Bill Maher knows that 721 00:33:50,200 --> 00:33:52,479 Speaker 2: information that he's a different guy in person and one 722 00:33:52,560 --> 00:33:54,600 Speaker 2: to one at him, it's because he went and met 723 00:33:54,640 --> 00:33:57,320 Speaker 2: with him. So maybe if you talk to people you 724 00:33:57,400 --> 00:33:59,880 Speaker 2: disagree with. And that's something that I've always given Donald 725 00:33:59,880 --> 00:34:02,320 Speaker 2: Trump credit for. He's not afraid to talk to any people. 726 00:34:02,360 --> 00:34:05,080 Speaker 2: He'll go on any podcasts, any show. He still does 727 00:34:05,120 --> 00:34:07,320 Speaker 2: interviews with The New York Times in sixty minutes, to 728 00:34:07,480 --> 00:34:10,480 Speaker 2: liberal media organizations that hate his guts. He'll go talk 729 00:34:10,520 --> 00:34:12,400 Speaker 2: to Kim John Noon in North Korea, he'll talk to 730 00:34:12,480 --> 00:34:16,080 Speaker 2: Vladimir Putin. Doesn't mean you agree with them, doesn't mean 731 00:34:16,080 --> 00:34:18,319 Speaker 2: that just by talking with them you support any of 732 00:34:18,320 --> 00:34:21,280 Speaker 2: their concepts and ideas. But we've got to talk with everybody, 733 00:34:21,320 --> 00:34:23,920 Speaker 2: including the people we disagree with and certainly our enemies 734 00:34:23,960 --> 00:34:24,800 Speaker 2: on the world stage. 735 00:34:24,840 --> 00:34:27,360 Speaker 4: You're listening to ninety three WYBC. 736 00:34:31,760 --> 00:34:34,960 Speaker 1: Are there any examples where someone fled to Canada and 737 00:34:35,040 --> 00:34:38,919 Speaker 1: their life actually improved. Here's a woman who went there 738 00:34:39,120 --> 00:34:43,799 Speaker 1: because of Trump's policies, and she said, Oh. 739 00:34:43,040 --> 00:34:45,719 Speaker 4: It's it's like from the movie to Hangover. I think 740 00:34:45,760 --> 00:34:49,520 Speaker 4: we messed up, except they don't stay messed up. Yeah, 741 00:34:49,520 --> 00:34:50,319 Speaker 4: they don't say mess up. 742 00:34:50,360 --> 00:34:51,040 Speaker 3: The points still made. 743 00:34:51,120 --> 00:34:53,160 Speaker 4: Yeah. Here she is putting her stuff out there for 744 00:34:53,200 --> 00:34:54,000 Speaker 4: everyone to see. 745 00:34:54,400 --> 00:34:56,640 Speaker 9: I'm a scholar of the far right who has fled 746 00:34:56,640 --> 00:35:01,360 Speaker 9: the United States to Canada, and I need help. The 747 00:35:01,400 --> 00:35:05,719 Speaker 9: situation in Canada is absolutely dire for Americans who don't know. 748 00:35:06,200 --> 00:35:09,520 Speaker 9: The housing crisis here is worse than in the United States. 749 00:35:09,800 --> 00:35:12,560 Speaker 9: I lived in LA for six years and I have 750 00:35:12,680 --> 00:35:16,400 Speaker 9: not faced rent as bad as here. When my partner, 751 00:35:16,840 --> 00:35:20,400 Speaker 9: our cat, and our dog fled the United States, we 752 00:35:20,520 --> 00:35:24,920 Speaker 9: headed north with the goal of being close to our 753 00:35:24,960 --> 00:35:28,360 Speaker 9: our families are located, which is on the west coast, 754 00:35:29,000 --> 00:35:32,879 Speaker 9: So we are now in British Columbia. More specifically, we 755 00:35:32,920 --> 00:35:36,880 Speaker 9: are in the Ceda Sky Highway in the Greater Vancouver area. 756 00:35:37,040 --> 00:35:42,160 Speaker 9: We are attempting to find housing in the western side 757 00:35:42,600 --> 00:35:46,359 Speaker 9: of this region. My partner and I are here on 758 00:35:46,440 --> 00:35:50,800 Speaker 9: a visitor visa which is a six months possible stay 759 00:35:50,840 --> 00:35:53,920 Speaker 9: for Americans. But while you're here on a visitor visa, 760 00:35:53,960 --> 00:35:57,240 Speaker 9: you can't work. So we are currently surviving off of 761 00:35:57,320 --> 00:36:01,200 Speaker 9: what savings we could get together before or we fled 762 00:36:01,680 --> 00:36:06,240 Speaker 9: the United States, and that's not terribly much. And in Canada, 763 00:36:06,400 --> 00:36:09,920 Speaker 9: I think it's actually the cost of living crisis is 764 00:36:09,960 --> 00:36:13,000 Speaker 9: worse here, especially when you are shut out of the 765 00:36:13,040 --> 00:36:16,360 Speaker 9: healthcare system, when you can't access any of the resources 766 00:36:16,360 --> 00:36:20,319 Speaker 9: that Canadians have access to. And that's understandable. You know, 767 00:36:20,400 --> 00:36:22,440 Speaker 9: I'm not a citizen in the country, but it is. 768 00:36:22,560 --> 00:36:26,440 Speaker 9: It is making the financial situation dire because we can't work. 769 00:36:26,560 --> 00:36:28,040 Speaker 4: Because there are. 770 00:36:28,000 --> 00:36:31,040 Speaker 9: Two adults, a cat and a dog. We are looking 771 00:36:31,640 --> 00:36:33,280 Speaker 9: for more than a room. 772 00:36:34,040 --> 00:36:37,120 Speaker 4: Help me, I chose poorly. 773 00:36:37,760 --> 00:36:40,760 Speaker 2: My favorite part of all of that was her opening line, 774 00:36:41,200 --> 00:36:45,880 Speaker 2: I'm a scholar of the far right. Ye nothing, no 775 00:36:46,000 --> 00:36:49,520 Speaker 2: statement could sound more elitist to start off with, I've 776 00:36:49,520 --> 00:36:52,680 Speaker 2: spent my entire life studying the far right. I mean, 777 00:36:52,840 --> 00:36:53,600 Speaker 2: I'm a scholar. 778 00:36:53,719 --> 00:36:58,280 Speaker 1: Specifically, we're in Vancouver at three twenty one Maple Streets. 779 00:36:58,520 --> 00:37:00,960 Speaker 3: Well leads you to believe. 780 00:37:01,000 --> 00:37:03,000 Speaker 2: I mean, she sounds well spoken, and the fact that 781 00:37:03,080 --> 00:37:05,400 Speaker 2: she calls herself a scholar to start off with. Sounds 782 00:37:05,440 --> 00:37:07,960 Speaker 2: like she's a reasonably intelligent woman. Does she not know 783 00:37:08,200 --> 00:37:11,439 Speaker 2: how Google works? Could she not sit here and say, Hey, 784 00:37:11,800 --> 00:37:14,479 Speaker 2: I wonder how much rent is in Vancouver? If only 785 00:37:14,520 --> 00:37:17,200 Speaker 2: we had a device that allowed us to get that. Oh, 786 00:37:17,360 --> 00:37:19,279 Speaker 2: right here in my pocket, it's called my phone, and 787 00:37:19,320 --> 00:37:21,839 Speaker 2: I can google that information. Look, I get it. There 788 00:37:21,840 --> 00:37:24,080 Speaker 2: are people that don't like the United States that live here. 789 00:37:24,120 --> 00:37:26,400 Speaker 2: There are citizens here that don't agree with our policies. 790 00:37:26,400 --> 00:37:30,120 Speaker 2: But you may find this shocking. We're better and we 791 00:37:30,160 --> 00:37:32,320 Speaker 2: may have a lot of laws, but for all those flaws, 792 00:37:32,560 --> 00:37:36,000 Speaker 2: we're better than every single other country on this entire planet. 793 00:37:36,040 --> 00:37:38,440 Speaker 2: And sometimes you got to move there before you figure 794 00:37:38,440 --> 00:37:39,799 Speaker 2: it out and get it through your thick head. 795 00:37:39,880 --> 00:37:43,760 Speaker 1: Why dodn't you go to another country on a visitor visa? 796 00:37:43,840 --> 00:37:44,719 Speaker 4: By the way, she. 797 00:37:44,760 --> 00:37:46,560 Speaker 1: Knew what kind of visa was not a working visa, 798 00:37:46,719 --> 00:37:49,520 Speaker 1: visitor visa and not have a tidy sum of money 799 00:37:49,560 --> 00:37:53,400 Speaker 1: to get you buy Oh that was the audio of 800 00:37:53,440 --> 00:37:53,799 Speaker 1: the day. 801 00:37:53,960 --> 00:37:57,520 Speaker 4: By the way, it is ninety three wibc 802 00:38:03,880 --> 00:38:03,920 Speaker 1: S