1 00:00:00,120 --> 00:00:02,360 Speaker 1: There was a new statewide servant that was done from 2 00:00:02,360 --> 00:00:05,760 Speaker 1: Ball State University's Bowen Center for Public Affairs, and it 3 00:00:05,880 --> 00:00:10,119 Speaker 1: suggests that Hoosiers are generally comfortable living in Indiana, but 4 00:00:10,119 --> 00:00:13,120 Speaker 1: they're anxious about some kitchen table issues. And we'll get 5 00:00:13,160 --> 00:00:16,200 Speaker 1: to those in just a few but we still are 6 00:00:16,200 --> 00:00:19,200 Speaker 1: in the glow of the big win last night. Yeah, 7 00:00:19,280 --> 00:00:23,079 Speaker 1: I use football. Johnny Manziel tweeted out, who is Johnny Manziel? 8 00:00:25,040 --> 00:00:27,360 Speaker 1: He played for Texas A and M. Right he did, 9 00:00:27,400 --> 00:00:28,080 Speaker 1: he look at you? 10 00:00:28,280 --> 00:00:31,560 Speaker 2: Yeah? So Johnny Manziel Heisman Trophy winner from Texas A 11 00:00:31,640 --> 00:00:34,640 Speaker 2: and M and then had a kind of a crash 12 00:00:34,680 --> 00:00:36,760 Speaker 2: and burn career in the NFL. Was drafted by the 13 00:00:36,760 --> 00:00:39,960 Speaker 2: Cleveland Browns, where good quarterbacks, you know, go to lose 14 00:00:40,000 --> 00:00:42,199 Speaker 2: their career, and he certainly did that. Although a lot 15 00:00:42,240 --> 00:00:45,800 Speaker 2: of Joanny Manziel's problems were self inflicted. The guy likes 16 00:00:45,840 --> 00:00:46,960 Speaker 2: to party. 17 00:00:46,800 --> 00:00:50,960 Speaker 1: He tweeted out, Wow, biggest stage and Mendoza makes a 18 00:00:51,000 --> 00:00:54,600 Speaker 1: play like that on fourth down? What a savage of 19 00:00:54,640 --> 00:00:57,840 Speaker 1: course you had. The Governor Mike Brawn, he said, congratulations 20 00:00:57,840 --> 00:01:02,200 Speaker 1: to Indiana football and an unforgettable season culminating in an 21 00:01:02,280 --> 00:01:06,440 Speaker 1: incredible national championship win. The team showed grit, discipline, and 22 00:01:06,480 --> 00:01:09,480 Speaker 1: heart all season, and tonight they delivered for Hoosiers everywhere. 23 00:01:09,560 --> 00:01:13,679 Speaker 1: Go Hoosiers, even Ron de Santa saying congrats to Indiana 24 00:01:13,800 --> 00:01:16,800 Speaker 1: on a perfect sixteen and o season. They had the 25 00:01:16,800 --> 00:01:19,600 Speaker 1: best player, the best coach, and ran the table like 26 00:01:19,640 --> 00:01:23,240 Speaker 1: no other school has done in the expanded playoff era. 27 00:01:23,760 --> 00:01:27,800 Speaker 1: Given the program's historic futility, this may be the best 28 00:01:27,800 --> 00:01:30,240 Speaker 1: achievement in college football history. 29 00:01:30,440 --> 00:01:33,960 Speaker 2: And that is from the governor of the Florida, of 30 00:01:34,120 --> 00:01:36,600 Speaker 2: the state of the losing team. Who I you whooped 31 00:01:36,680 --> 00:01:39,880 Speaker 2: up on last night? So quite a nice type of 32 00:01:39,959 --> 00:01:43,080 Speaker 2: concession speech by Ron DeSantis. They're talking about how great 33 00:01:43,080 --> 00:01:43,399 Speaker 2: I You. 34 00:01:43,480 --> 00:01:45,640 Speaker 1: Is and I expect that he'll be sending some key 35 00:01:45,680 --> 00:01:51,000 Speaker 1: lime pies shortly. Here is Fernando Mendoza after the big 36 00:01:51,040 --> 00:01:52,040 Speaker 1: win last night. 37 00:01:53,520 --> 00:01:56,880 Speaker 3: Quarner, you're leading by just three points and coach. 38 00:01:56,720 --> 00:01:58,760 Speaker 2: Decided to go for it on fourth down? What did 39 00:01:58,800 --> 00:02:00,720 Speaker 2: he say to you in that hut and how did 40 00:02:00,760 --> 00:02:03,240 Speaker 2: you execute it? That's love thing about our team. We're 41 00:02:03,240 --> 00:02:03,880 Speaker 2: always gonna. 42 00:02:03,680 --> 00:02:05,920 Speaker 4: Put on the line, and you know, I want to 43 00:02:05,920 --> 00:02:08,200 Speaker 4: give all the floor and thanks to God there my 44 00:02:08,240 --> 00:02:11,840 Speaker 4: offensive lineman blocked perfectly, and we're able to excuse. 45 00:02:11,480 --> 00:02:12,720 Speaker 2: The team towards the common goal. 46 00:02:12,840 --> 00:02:15,560 Speaker 4: Had the Indiana Hoosa synergy to store and then give 47 00:02:15,560 --> 00:02:16,680 Speaker 4: our team a chance to win the end. 48 00:02:17,040 --> 00:02:18,160 Speaker 2: How did you get it in there? 49 00:02:18,160 --> 00:02:18,359 Speaker 1: Though? 50 00:02:18,400 --> 00:02:20,040 Speaker 2: You have to go airborne, Fernando. 51 00:02:20,480 --> 00:02:22,600 Speaker 4: I had to go airborne out die for my team. 52 00:02:22,639 --> 00:02:24,760 Speaker 4: Whatever they need me gonna do. They needed me to take, 53 00:02:24,800 --> 00:02:26,760 Speaker 4: you know, seats in the front of the back, whatever 54 00:02:26,800 --> 00:02:28,359 Speaker 4: it is. I'm gonna die for my team out there, 55 00:02:28,400 --> 00:02:29,640 Speaker 4: and I know they're gonna do the same for me. 56 00:02:29,760 --> 00:02:31,280 Speaker 4: I have to make this so close that what makes 57 00:02:31,320 --> 00:02:32,640 Speaker 4: us not to championship so special. 58 00:02:32,919 --> 00:02:35,359 Speaker 1: There was another point where he was giving an interview 59 00:02:35,400 --> 00:02:38,000 Speaker 1: and he let a swear word fly, which is rare 60 00:02:38,080 --> 00:02:40,720 Speaker 1: for him, and he was asked about it in a 61 00:02:40,760 --> 00:02:44,120 Speaker 1: postgame interview and he said that he was overwhelmed by emotion. 62 00:02:44,600 --> 00:02:47,400 Speaker 1: It's the pinnacle peak. In all the other interviews, he 63 00:02:47,520 --> 00:02:51,320 Speaker 1: gave the canned media response, but at that point he 64 00:02:51,400 --> 00:02:52,520 Speaker 1: let a fly. Yeah. 65 00:02:52,560 --> 00:02:55,440 Speaker 2: It was great to see him kind of be himself 66 00:02:55,480 --> 00:02:57,160 Speaker 2: a little bit, and he even talked about this. Look. 67 00:02:57,160 --> 00:02:59,440 Speaker 2: I've had a lot of media training. You've spent the 68 00:02:59,560 --> 00:03:03,840 Speaker 2: entire seat in giving you these canned pr friendly responses 69 00:03:03,919 --> 00:03:06,280 Speaker 2: to everything all season long. But you caught me on 70 00:03:06,360 --> 00:03:09,480 Speaker 2: the field right after we just won the national championship 71 00:03:09,520 --> 00:03:12,560 Speaker 2: game in exciting fashion, and yeah, I let one come out. 72 00:03:12,639 --> 00:03:16,120 Speaker 2: So it was kind of fascinating to see him be 73 00:03:16,600 --> 00:03:19,240 Speaker 2: a regular, normal human being that got caught up in 74 00:03:19,240 --> 00:03:22,799 Speaker 2: the emotion and did something that you know doesn't fit 75 00:03:22,840 --> 00:03:24,840 Speaker 2: his personality type A rare. 76 00:03:24,800 --> 00:03:28,000 Speaker 1: Swear word in a postgame interview. Well, there's something else 77 00:03:28,040 --> 00:03:30,000 Speaker 1: that he can put on his LinkedIn profile. 78 00:03:30,440 --> 00:03:33,320 Speaker 2: I mean, come on, I just I love the fact 79 00:03:33,360 --> 00:03:36,520 Speaker 2: that Fernando Mendoza is like the biggest dork we've ever seen, 80 00:03:36,560 --> 00:03:38,960 Speaker 2: the biggest nerd we've ever seen play in college football. 81 00:03:39,040 --> 00:03:42,040 Speaker 2: And I say that as a compliment and an endearing term. 82 00:03:42,120 --> 00:03:45,720 Speaker 2: He's just, you know, loves his mom and his grandparents 83 00:03:45,720 --> 00:03:48,120 Speaker 2: and shouts them out all the time. And he's just 84 00:03:48,200 --> 00:03:52,920 Speaker 2: kind of an oh shucks, nice kid. And then to 85 00:03:52,960 --> 00:03:55,400 Speaker 2: see him, you know, let one fly last night in 86 00:03:55,440 --> 00:03:58,000 Speaker 2: the postgame interview, it was shocking. I was surprised. I was, 87 00:03:58,080 --> 00:04:01,160 Speaker 2: in fact, I remember I think he said he didn't 88 00:04:01,200 --> 00:04:03,280 Speaker 2: say that, did he? I heard that wrong, right, And 89 00:04:03,320 --> 00:04:06,200 Speaker 2: then I saw replays later on social media. No, absolutely 90 00:04:06,520 --> 00:04:07,520 Speaker 2: he went there. 91 00:04:07,480 --> 00:04:10,320 Speaker 1: So that just proves that he's he's just a normal 92 00:04:10,360 --> 00:04:10,720 Speaker 1: human guy. 93 00:04:10,840 --> 00:04:12,280 Speaker 2: Yeah, after all, he is a human. 94 00:04:12,520 --> 00:04:15,080 Speaker 1: All right, let's talk about this statewide survey, and this 95 00:04:15,120 --> 00:04:18,120 Speaker 1: comes to us from Ball State University's Bowen Center for 96 00:04:18,320 --> 00:04:24,480 Speaker 1: Public Affairs, saying that Hoosiers aren't generally comfortable living in Indiana, 97 00:04:24,600 --> 00:04:28,640 Speaker 1: but they are skeptical of political messaging that says everything 98 00:04:28,720 --> 00:04:31,800 Speaker 1: is fine. When asked if Indiana is a good place 99 00:04:31,839 --> 00:04:35,679 Speaker 1: to live, sixty eight percent say Indiana is excellent or good. 100 00:04:36,240 --> 00:04:39,039 Speaker 1: About one in three say it's fair or poor. The 101 00:04:39,120 --> 00:04:44,760 Speaker 1: top concerns affordable healthcare, public schools, reducing local taxes, and 102 00:04:44,800 --> 00:04:46,240 Speaker 1: of course public safety. 103 00:04:46,680 --> 00:04:50,080 Speaker 2: That's a big number. Almost seventy percent of people surveys 104 00:04:50,080 --> 00:04:53,679 Speaker 2: say that Indiana is either a good or excellent place 105 00:04:53,720 --> 00:04:57,760 Speaker 2: to live. That's an absolutely gigantic number. And I think 106 00:04:57,800 --> 00:05:03,320 Speaker 2: it's it's pretty interesting because, you know, further down in 107 00:05:03,360 --> 00:05:05,520 Speaker 2: the survey, they asked a question, you know, what is 108 00:05:05,560 --> 00:05:09,400 Speaker 2: your financial well being compared to last year? Only sixteen 109 00:05:09,440 --> 00:05:13,200 Speaker 2: percent said better off right, and eighty three percent said 110 00:05:13,240 --> 00:05:15,680 Speaker 2: either about the same or worse off. And so it 111 00:05:15,720 --> 00:05:19,080 Speaker 2: seems like that, you know, clearly there's this sentiment that hey, 112 00:05:19,160 --> 00:05:21,560 Speaker 2: we're on the wrong track. That's like that right track 113 00:05:21,600 --> 00:05:23,560 Speaker 2: wrong track question that you see a lot in these 114 00:05:23,560 --> 00:05:26,080 Speaker 2: political surveys, and a lot of people in Indiana think 115 00:05:26,080 --> 00:05:28,280 Speaker 2: that we're on the wrong track. Yet seventy par. 116 00:05:28,560 --> 00:05:31,160 Speaker 1: I'm so happy then well, And I think this. 117 00:05:31,120 --> 00:05:33,720 Speaker 2: Goes back to, you know, we're all susceptible to the 118 00:05:33,760 --> 00:05:36,800 Speaker 2: media and social media narratives out there. And when I 119 00:05:36,839 --> 00:05:40,760 Speaker 2: see this kind of big divergence in responses in political 120 00:05:40,839 --> 00:05:44,400 Speaker 2: surveys like this, I think it stems from the idea 121 00:05:44,440 --> 00:05:47,400 Speaker 2: that oh, I'm doing okay. I'm doing okay. I may 122 00:05:47,440 --> 00:05:48,880 Speaker 2: not be great, but I know a lot of people 123 00:05:49,040 --> 00:05:50,880 Speaker 2: I'm doing okay, but I know a lot of people are. 124 00:05:50,960 --> 00:05:53,239 Speaker 2: So it's like, yeah, Indiana is a good or great 125 00:05:53,240 --> 00:05:55,800 Speaker 2: place to live, but it may not be as good 126 00:05:55,800 --> 00:05:57,520 Speaker 2: as it was before, or there may be a lot 127 00:05:57,520 --> 00:05:59,760 Speaker 2: of other people out there that aren't having you know, 128 00:05:59,839 --> 00:06:01,160 Speaker 2: as much success as I am. 129 00:06:01,360 --> 00:06:04,760 Speaker 1: In regards to taxes and government services, most voters prefer 130 00:06:04,839 --> 00:06:09,320 Speaker 1: lower taxes, clearly, they say, even if it means fewer services. 131 00:06:09,600 --> 00:06:13,520 Speaker 1: And property taxes are viewed as the most unfair tax. 132 00:06:13,920 --> 00:06:16,359 Speaker 1: In regards to marijuana, now, we just talked about that 133 00:06:16,480 --> 00:06:21,000 Speaker 1: hemp story. Fifty nine percent support the legalization of marijuana 134 00:06:21,040 --> 00:06:26,200 Speaker 1: for medical and recreational use, twenty five percent support medical 135 00:06:26,240 --> 00:06:31,359 Speaker 1: only legalization eighty four percent. Total support legalization in some 136 00:06:31,760 --> 00:06:36,840 Speaker 1: form eighty four percent. And yet the Indiana legislators say, Nope, 137 00:06:36,880 --> 00:06:37,240 Speaker 1: not here. 138 00:06:37,360 --> 00:06:39,440 Speaker 2: Yeah, we talked about we talked about that last hour. 139 00:06:39,560 --> 00:06:43,279 Speaker 2: I mean, it seems that Indiana is always so far behind. Again, 140 00:06:43,720 --> 00:06:47,640 Speaker 2: how long did we fight to get Sunday alcohol sales 141 00:06:47,640 --> 00:06:51,279 Speaker 2: in this state? And that was a knockdown, drag out 142 00:06:51,440 --> 00:06:53,840 Speaker 2: fight to get that law change so that we could 143 00:06:53,880 --> 00:06:58,160 Speaker 2: have Sunday alcohol sales, and you've got overwhelming support especially. Look, 144 00:06:58,360 --> 00:07:00,000 Speaker 2: I get that there's still a debate as to whether 145 00:07:00,080 --> 00:07:03,360 Speaker 2: recreational marijuana is a positive or negative, and I think that, 146 00:07:03,680 --> 00:07:05,440 Speaker 2: you know, we probably need some more time out there 147 00:07:05,480 --> 00:07:08,960 Speaker 2: to figure that out. But it seems that universally, everything 148 00:07:08,960 --> 00:07:11,560 Speaker 2: that we're seeing from experts and certainly the public opinion 149 00:07:11,680 --> 00:07:14,560 Speaker 2: is there is a place in society for medical marijuana, 150 00:07:14,600 --> 00:07:19,120 Speaker 2: and Indiana just absolutely refuses to go any farther when 151 00:07:19,120 --> 00:07:21,040 Speaker 2: it comes to that. Here's what I thought was really 152 00:07:21,120 --> 00:07:24,080 Speaker 2: interesting from this survey. They asked what your primary source 153 00:07:24,080 --> 00:07:26,120 Speaker 2: of health insurance is and it was, you know, I 154 00:07:26,200 --> 00:07:28,160 Speaker 2: buy it myself or I get it from my employer. 155 00:07:28,280 --> 00:07:32,120 Speaker 2: Medicare and Medicaid. Nearly forty percent of people and this 156 00:07:32,160 --> 00:07:34,840 Speaker 2: is again, this is just hoosiers. Forty percent of people 157 00:07:34,920 --> 00:07:38,400 Speaker 2: in this state admitted and said they are getting their 158 00:07:38,400 --> 00:07:41,800 Speaker 2: health insurance either through Medicare or Medicaid. Oh almost half, 159 00:07:42,040 --> 00:07:45,480 Speaker 2: almost half four and ten. That's almost half of every 160 00:07:45,520 --> 00:07:49,720 Speaker 2: single citizen in the state is on government subsidized health insurance. 161 00:07:49,760 --> 00:07:51,360 Speaker 1: And you can thank Eric Holcomb for that. 162 00:07:51,520 --> 00:07:53,680 Speaker 2: You think Eric Holcomb for that and Hip two point 163 00:07:53,760 --> 00:07:55,640 Speaker 2: zero and taking all of that COVID money that was 164 00:07:55,680 --> 00:07:58,240 Speaker 2: there and putting people on the public roles for health insurance. 165 00:07:58,400 --> 00:08:01,160 Speaker 2: And now that COVID money is gone, and Braun and 166 00:08:01,200 --> 00:08:03,120 Speaker 2: the legislatures have been trying to clean that up. But 167 00:08:03,160 --> 00:08:05,120 Speaker 2: that's a mess and there's no real easy solution. 168 00:08:05,480 --> 00:08:06,520 Speaker 1: Almost we're paying for that. 169 00:08:06,600 --> 00:08:09,680 Speaker 2: We're paying for that. Almost half, almost half of every 170 00:08:09,680 --> 00:08:14,120 Speaker 2: citizen in this state is on government subsidized health insurance, 171 00:08:14,480 --> 00:08:16,600 Speaker 2: with your tax dollars subsidizing that. 172 00:08:16,800 --> 00:08:20,760 Speaker 1: In regards to economic development and skepticism towards that, fifty 173 00:08:20,840 --> 00:08:23,920 Speaker 1: seven percent think data centers will have a negative impact 174 00:08:24,120 --> 00:08:27,160 Speaker 1: regardless of what Governor Mike Brown said in his State 175 00:08:27,200 --> 00:08:30,120 Speaker 1: of the State address that when these data centers come, 176 00:08:30,400 --> 00:08:34,280 Speaker 1: it's going to lower your utility bill. Thirty percent see 177 00:08:34,320 --> 00:08:37,840 Speaker 1: it as a positive impact, twenty three percent expect no impact. 178 00:08:37,880 --> 00:08:41,280 Speaker 1: And let's talk about redistricting, because we just had that 179 00:08:41,600 --> 00:08:44,920 Speaker 1: tweet go out from JD. Vance over the weekend where 180 00:08:45,000 --> 00:08:48,000 Speaker 1: he said he put it wholly on the shoulders of 181 00:08:48,120 --> 00:08:52,640 Speaker 1: Rod Bray that redistricting didn't happen here in Indiana. Thirty 182 00:08:52,720 --> 00:08:59,160 Speaker 1: nine percent oppose it, so and that's the highest mark. 183 00:09:00,160 --> 00:09:03,600 Speaker 1: Six percent support it, thirty five percent are neutral. So 184 00:09:03,800 --> 00:09:09,600 Speaker 1: more people still opposing redistricting than supporting it. And yet 185 00:09:09,640 --> 00:09:13,360 Speaker 1: you've got the president and the Vice president blaming Rod Bray, 186 00:09:13,520 --> 00:09:17,760 Speaker 1: who by all accounts was listening to his constituents. 187 00:09:17,200 --> 00:09:19,480 Speaker 2: Right, Which isn't that what we asked for? Isn't that 188 00:09:19,480 --> 00:09:21,600 Speaker 2: what we're always saying and have been saysting to us, 189 00:09:21,640 --> 00:09:22,600 Speaker 2: do it right exactly? 190 00:09:22,720 --> 00:09:25,240 Speaker 1: This is the one rare instance where they did. 191 00:09:25,760 --> 00:09:28,439 Speaker 2: And yet there's still a massive contingent of people out 192 00:09:28,440 --> 00:09:30,760 Speaker 2: there that are crapping all over the politicians for listening 193 00:09:30,760 --> 00:09:33,160 Speaker 2: to what the constituents want. What I thought was really interesting, 194 00:09:33,360 --> 00:09:34,760 Speaker 2: I'm gonna go back to what you said about data 195 00:09:34,800 --> 00:09:37,640 Speaker 2: centers and support. They broke it down by party, and 196 00:09:37,679 --> 00:09:39,440 Speaker 2: if you were to just to look at social media 197 00:09:39,520 --> 00:09:41,960 Speaker 2: and some other outlets, you would think that, you know, 198 00:09:42,080 --> 00:09:44,760 Speaker 2: being opposed to data centers is kind of a conservative position. 199 00:09:45,080 --> 00:09:48,199 Speaker 2: At least that's the way it appears. The survey shows 200 00:09:48,240 --> 00:09:52,320 Speaker 2: that that's just the opposite. Actually, Democrats oppose the construction 201 00:09:52,400 --> 00:09:54,800 Speaker 2: of data centers by a much almost a two to 202 00:09:54,840 --> 00:09:58,440 Speaker 2: one margin over Republicans opposing data centers. In fact, it's 203 00:09:58,440 --> 00:10:01,880 Speaker 2: fifty to fifty. Thirty eight percent of Republicans think that 204 00:10:01,960 --> 00:10:05,439 Speaker 2: data centers positively impact the state thirty eight percent, thirty 205 00:10:05,679 --> 00:10:08,640 Speaker 2: seven percent think it's negative. So kind of a surprise 206 00:10:08,760 --> 00:10:11,800 Speaker 2: to me. Maybe it shouldn't be, because obviously were generally 207 00:10:11,800 --> 00:10:15,280 Speaker 2: conservatives and Republicans are pro business, and data centers certainly 208 00:10:15,320 --> 00:10:19,640 Speaker 2: are business friendly. But the opposition of data centers much 209 00:10:19,640 --> 00:10:22,960 Speaker 2: stronger by both independents and Democrats versus Republicans. 210 00:10:23,120 --> 00:10:25,960 Speaker 1: Where do Hoosiers get their news? Social media is the 211 00:10:26,000 --> 00:10:29,240 Speaker 1: top source at forty two percent. That's kind of scary 212 00:10:29,320 --> 00:10:34,200 Speaker 1: because you never know who's behind that. You know, that 213 00:10:34,320 --> 00:10:37,319 Speaker 1: profile picture that's a cartoon? Is that where you're getting 214 00:10:37,320 --> 00:10:38,800 Speaker 1: your news from I certainly hope not. 215 00:10:39,240 --> 00:10:42,760 Speaker 2: And you know, it takes it takes a much more 216 00:10:42,880 --> 00:10:46,680 Speaker 2: astute and wise person to be able to discern what's 217 00:10:46,679 --> 00:10:49,199 Speaker 2: true and what's not on social media. I saw one 218 00:10:49,200 --> 00:10:53,440 Speaker 2: this morning. Somebody posted that Fernando Mendoza had already updated 219 00:10:53,440 --> 00:10:56,040 Speaker 2: his LinkedIn profile and talked about the you know, the 220 00:10:56,040 --> 00:10:57,839 Speaker 2: Hoosiers win in the time. That's not true. 221 00:10:57,960 --> 00:10:59,080 Speaker 1: Did you go to his LinkedIn party? 222 00:10:59,120 --> 00:11:01,120 Speaker 2: I went to, yeah, exactly because I said check it 223 00:11:01,640 --> 00:11:03,880 Speaker 2: and I thought, this doesn't sound and it was a 224 00:11:03,920 --> 00:11:06,959 Speaker 2: screen shot. It had the appearance of a screenshot of 225 00:11:07,000 --> 00:11:10,079 Speaker 2: his LinkedIn and that's what it looked like. But clearly 226 00:11:10,120 --> 00:11:12,440 Speaker 2: somebody had just edited that or created that for say. 227 00:11:12,600 --> 00:11:14,160 Speaker 1: That's the problem. Most people aren't going to go and 228 00:11:14,200 --> 00:11:15,839 Speaker 1: double check. They're just going to see it and take 229 00:11:15,880 --> 00:11:16,600 Speaker 1: it as gospel. 230 00:11:16,760 --> 00:11:19,079 Speaker 2: Yep. And that is the danger with social media being 231 00:11:19,080 --> 00:11:22,199 Speaker 2: the number one source of people's news is the unreliability. Look, 232 00:11:22,200 --> 00:11:24,280 Speaker 2: I'm not saying the mainstream media got it right by 233 00:11:24,280 --> 00:11:28,480 Speaker 2: a long shot, but it's certainly, I think universally accepted 234 00:11:28,520 --> 00:11:32,200 Speaker 2: that news via social media is certainly unreliable than your 235 00:11:32,200 --> 00:11:33,480 Speaker 2: more traditional news sources. 236 00:11:33,840 --> 00:11:37,160 Speaker 1: Local TV comes in second, and then newspapers are used 237 00:11:37,480 --> 00:11:40,600 Speaker 1: the least. We've got a big storm headed our way, 238 00:11:40,800 --> 00:11:45,280 Speaker 1: major winter storm expected Friday and Saturday, ice storm, heavy snow, 239 00:11:45,440 --> 00:11:49,440 Speaker 1: and more likely they're calling it an Arctic blast, which 240 00:11:49,440 --> 00:11:54,480 Speaker 1: could affect forty million people. There was Did you see 241 00:11:54,480 --> 00:11:58,240 Speaker 1: that drone footage of that huge pile up one hundred 242 00:11:58,360 --> 00:12:02,800 Speaker 1: vehicles in Zealand, miss that's up there by Grand Rapids. 243 00:12:03,120 --> 00:12:05,520 Speaker 2: I did see that, and that was incredible, no surprise. 244 00:12:05,559 --> 00:12:07,400 Speaker 2: In fact, when you and I talked about this yesterday, 245 00:12:07,400 --> 00:12:09,280 Speaker 2: you were like, hey, you see this pile up in Michigan. 246 00:12:09,320 --> 00:12:11,240 Speaker 2: I was like, no, where in Michigan. I'll bet it's 247 00:12:11,240 --> 00:12:13,600 Speaker 2: on the west coast of Michigan. Sure enough, that's where 248 00:12:13,640 --> 00:12:15,319 Speaker 2: they get all that Lake effect snow coming off of 249 00:12:15,400 --> 00:12:17,560 Speaker 2: Lake Michigan. And that's where Zealand is. And I saw 250 00:12:17,600 --> 00:12:21,160 Speaker 2: the clips this morning, nasty pile up. I didn't see 251 00:12:21,160 --> 00:12:23,959 Speaker 2: any reports of serious injuries. I don't know if it 252 00:12:24,080 --> 00:12:27,040 Speaker 2: just they weren't able to get that information. But hopefully 253 00:12:27,880 --> 00:12:30,079 Speaker 2: as many people as possible made it out of that unscathed. 254 00:12:30,120 --> 00:12:33,280 Speaker 2: But that is scary. And I've seen these clips before 255 00:12:34,200 --> 00:12:37,200 Speaker 2: of people that this pile up happens and if you're 256 00:12:37,240 --> 00:12:39,920 Speaker 2: part of this pile up and you think, okay, my 257 00:12:40,000 --> 00:12:41,800 Speaker 2: car has stopped, I've hit the car in front of me, 258 00:12:42,120 --> 00:12:44,480 Speaker 2: the danger is still there because now you've got all 259 00:12:44,520 --> 00:12:46,960 Speaker 2: of these and the scariest part of these eighteen wheelers 260 00:12:47,200 --> 00:12:49,640 Speaker 2: that are coming in behind you, and there may be 261 00:12:49,679 --> 00:12:52,160 Speaker 2: more impacts that then end up pushing into your vehicle. 262 00:12:52,240 --> 00:12:53,439 Speaker 2: So a scary situation. 263 00:12:53,640 --> 00:12:56,600 Speaker 1: Here's a live update from a reporter who was in 264 00:12:56,760 --> 00:13:01,160 Speaker 1: Zealand mission talking about the white out conditions that caused 265 00:13:01,160 --> 00:13:04,280 Speaker 1: that massive one hundred car pile up behind me. 266 00:13:04,400 --> 00:13:06,880 Speaker 3: Is the one hundred car pile up on I ninety 267 00:13:06,920 --> 00:13:10,000 Speaker 3: six from earlier today. This is southwest of Grand Rapids 268 00:13:10,040 --> 00:13:13,640 Speaker 3: and Cruiser urgently working to clear the interstate from this 269 00:13:13,679 --> 00:13:16,720 Speaker 3: one hundred car wreck, moving through it fairly quickly. But 270 00:13:16,840 --> 00:13:19,760 Speaker 3: an issue beginning to develop here is new lake effects 271 00:13:19,760 --> 00:13:22,840 Speaker 3: snowbands moving into the area that's kind of disrupting the 272 00:13:22,920 --> 00:13:26,160 Speaker 3: smooth workflow from getting nine ninety six back opened. We've 273 00:13:26,200 --> 00:13:28,199 Speaker 3: been flying the drone over the scene here and it's 274 00:13:28,240 --> 00:13:30,000 Speaker 3: definitely very chaotic. Although they have. 275 00:13:30,040 --> 00:13:32,120 Speaker 2: Removed a lot of vehicles so far, a. 276 00:13:32,000 --> 00:13:35,440 Speaker 3: Lot of mangling going on, a lot of vehicles all the. 277 00:13:35,480 --> 00:13:36,960 Speaker 2: Way down into the cornfield. 278 00:13:37,000 --> 00:13:37,200 Speaker 1: Here. 279 00:13:37,320 --> 00:13:39,719 Speaker 3: They're doing multiple poles at a time, trying to get 280 00:13:39,720 --> 00:13:42,240 Speaker 3: this interstate opened up as quickly as they can. As 281 00:13:42,240 --> 00:13:44,920 Speaker 3: this new lake effect stow machine cranks up. This evening, 282 00:13:44,960 --> 00:13:46,880 Speaker 3: we're live covering this situation. 283 00:13:46,920 --> 00:13:50,800 Speaker 1: Should it was fifty semi trucks all piled up, and 284 00:13:50,800 --> 00:13:53,000 Speaker 1: of course the cars followed. That was on I ninety 285 00:13:53,040 --> 00:13:56,320 Speaker 1: six earlier. And I can recall at one point up 286 00:13:56,360 --> 00:13:59,200 Speaker 1: in northern Indiana when the toll road was closed. I 287 00:13:59,200 --> 00:14:03,760 Speaker 1: believe they shut it down again this past weekend. I did, yes, yeah, 288 00:14:03,800 --> 00:14:06,800 Speaker 1: but those whiteout conditions, that's scary. 289 00:14:06,880 --> 00:14:09,040 Speaker 2: Yeah. You and I spent some time in Grand Rapids, 290 00:14:09,280 --> 00:14:10,800 Speaker 2: lived there for a short period of time. I think 291 00:14:10,800 --> 00:14:13,480 Speaker 2: we spent two or three winters there, oldest winter of 292 00:14:13,600 --> 00:14:17,080 Speaker 2: my life. That is no joke. The you know, northern 293 00:14:17,320 --> 00:14:19,720 Speaker 2: part of the lower Peninsula of Michigan, especially on that 294 00:14:19,760 --> 00:14:22,000 Speaker 2: west coast where they get that lake effects. Note those 295 00:14:22,040 --> 00:14:25,320 Speaker 2: were the easiest. And look, I've been a Northerner, you know, 296 00:14:25,920 --> 00:14:28,160 Speaker 2: mid West guy, my whole life. Those years we spent 297 00:14:28,480 --> 00:14:32,440 Speaker 2: in Grand Rapids the absolute the most brutal winters we've 298 00:14:32,480 --> 00:14:33,920 Speaker 2: ever been around. It's no joke. 299 00:14:34,040 --> 00:14:35,560 Speaker 1: It's so and we have to get to a break here. 300 00:14:35,560 --> 00:14:39,320 Speaker 1: But it's so surprising to me because just this past 301 00:14:39,320 --> 00:14:42,640 Speaker 1: weekend they had nine nine inches of snow in South 302 00:14:42,680 --> 00:14:46,120 Speaker 1: Bend and just a dusting here. Just the difference that two. 303 00:14:45,920 --> 00:14:48,080 Speaker 2: And a half hours It's amazing. What two and a 304 00:14:48,080 --> 00:14:48,920 Speaker 2: half hours south. 305 00:14:48,920 --> 00:14:51,720 Speaker 1: I'm so happy to be in such India when. 306 00:14:51,560 --> 00:14:53,920 Speaker 2: We see all that. I see that the nine inches 307 00:14:53,960 --> 00:14:56,240 Speaker 2: of snow in South Bend, Indiana just a short drive 308 00:14:56,280 --> 00:14:56,880 Speaker 2: up thirty one. 309 00:14:56,960 --> 00:14:59,760 Speaker 1: Yeah, are cold today, but they're expected to be even 310 00:14:59,800 --> 00:15:01,920 Speaker 1: col or towards the end of the week. This is 311 00:15:01,960 --> 00:15:04,680 Speaker 1: the kind of a Casey show. It's ninety three w IBC, 312 00:15:05,760 --> 00:15:15,560 Speaker 1: same break that don com Well, it's been one year, 313 00:15:17,320 --> 00:15:20,600 Speaker 1: one year, and Donald Trump has been very busy, made 314 00:15:20,640 --> 00:15:24,080 Speaker 1: a lot of sweeping changes. However, some of them have 315 00:15:24,200 --> 00:15:29,800 Speaker 1: been a little quieter than others, but still significant. And uh. 316 00:15:29,920 --> 00:15:33,240 Speaker 1: Politico has an article twenty five things that Donald Trump 317 00:15:33,280 --> 00:15:36,480 Speaker 1: has done that you may not have heard about, So 318 00:15:36,600 --> 00:15:39,720 Speaker 1: I thought it might be fun to review some of them. 319 00:15:39,840 --> 00:15:42,560 Speaker 2: He's done a lot, so it's it's easy so much 320 00:15:42,600 --> 00:15:45,960 Speaker 2: it's easy. The volume that this administration has cranked out 321 00:15:45,960 --> 00:15:48,240 Speaker 2: in its first year, it's easy to be like, oh yeah, 322 00:15:48,240 --> 00:15:52,160 Speaker 2: I totally forgot about that. Under a normal administration, any 323 00:15:52,200 --> 00:15:54,040 Speaker 2: of these things would be front and center. That would 324 00:15:54,080 --> 00:15:55,680 Speaker 2: be like one of the top three things. Oh yeah, 325 00:15:55,680 --> 00:15:57,680 Speaker 2: I remember when that president did this. And with Trump, 326 00:15:57,760 --> 00:15:59,840 Speaker 2: because he just does so much, so much, so many 327 00:16:00,040 --> 00:16:02,120 Speaker 2: these are like, oh, I totally forgot about that. 328 00:16:02,280 --> 00:16:06,880 Speaker 1: Using his executive power so aggressively in this term and 329 00:16:07,120 --> 00:16:14,640 Speaker 1: reshaping policy across government and bypassing norms and clearly accelerating timelines. 330 00:16:14,720 --> 00:16:18,040 Speaker 1: So let's talk about space and technology. Didn't even know 331 00:16:18,080 --> 00:16:21,360 Speaker 1: about this until I read it in this article. See, 332 00:16:22,280 --> 00:16:25,560 Speaker 1: he has had NASA fast track plans to put a 333 00:16:25,600 --> 00:16:28,400 Speaker 1: nuclear reactor on the Moon by twenty thirty. 334 00:16:28,320 --> 00:16:31,760 Speaker 2: Which I think that headline is just spectacular. Hey, it's 335 00:16:32,040 --> 00:16:34,880 Speaker 2: most present to be like, we're going to the moon. Hey, 336 00:16:34,920 --> 00:16:37,920 Speaker 2: We're going to restore America's confidence in the space program 337 00:16:37,960 --> 00:16:39,840 Speaker 2: and go to the moon. And Trump is like, let's 338 00:16:39,840 --> 00:16:42,240 Speaker 2: put a nuclear reactor on the moon right next to 339 00:16:42,280 --> 00:16:42,800 Speaker 2: the BUCkies. 340 00:16:42,920 --> 00:16:44,160 Speaker 1: Well you gotta fight. 341 00:16:45,520 --> 00:16:48,280 Speaker 2: Hey, he's always thinking about the business acts. But sure, 342 00:16:48,320 --> 00:16:49,600 Speaker 2: we can go to the moon, But what are we 343 00:16:49,640 --> 00:16:51,840 Speaker 2: doing there? Nuclear reactor? Let's do it. 344 00:16:51,920 --> 00:16:54,160 Speaker 1: Well, you got to think that whoever puts a permanent 345 00:16:54,320 --> 00:16:59,320 Speaker 1: infrastructure there first is the one who's gonna rule future 346 00:16:59,320 --> 00:17:00,280 Speaker 1: space activit. 347 00:17:00,120 --> 00:17:02,400 Speaker 2: Absolutely and I'm you know, I'm poking fun at Trump 348 00:17:02,440 --> 00:17:05,360 Speaker 2: because the headline just sounds outlandish and ridiculous. But if 349 00:17:05,359 --> 00:17:07,280 Speaker 2: we're going to have some sort of permanent or semi 350 00:17:07,280 --> 00:17:09,560 Speaker 2: permanent presence on the Moon, we're going to need a 351 00:17:09,560 --> 00:17:12,239 Speaker 2: lot of power. Don't have a lot of options, not 352 00:17:12,280 --> 00:17:14,240 Speaker 2: like we can cut down some trees or mine for 353 00:17:14,359 --> 00:17:18,000 Speaker 2: coal or oil on the moon. So a nuclear reactor 354 00:17:18,119 --> 00:17:21,240 Speaker 2: just not only seems obvious, but necessary. It's just a 355 00:17:21,320 --> 00:17:22,520 Speaker 2: hilarious headline to me. 356 00:17:22,800 --> 00:17:26,280 Speaker 1: Under Donald Trump, crypto has gone mainstream. He signed the 357 00:17:26,400 --> 00:17:32,280 Speaker 1: Genius Act creating rules for crypto. So banks are now 358 00:17:32,440 --> 00:17:34,600 Speaker 1: exploring what does this mean to them. 359 00:17:34,720 --> 00:17:36,439 Speaker 2: This is one of the more interesting ones that I 360 00:17:36,520 --> 00:17:39,080 Speaker 2: saw and something that did not get a lot of coverage, 361 00:17:39,119 --> 00:17:44,399 Speaker 2: and that is Trump administration overhauling college oversight. And so 362 00:17:44,640 --> 00:17:49,600 Speaker 2: you know what happened under Obama and Biden was they 363 00:17:49,640 --> 00:17:54,720 Speaker 2: allowed colleges to essentially operate on their own when it 364 00:17:54,720 --> 00:17:58,560 Speaker 2: comes to disciplinary matters, and so much so that you know, 365 00:17:58,760 --> 00:18:00,639 Speaker 2: in this country, we always think of the legal system, 366 00:18:00,640 --> 00:18:02,640 Speaker 2: and you know, beyond a shadow of a doubt. When 367 00:18:02,800 --> 00:18:07,560 Speaker 2: College disciplin Disciplinary Committees Act, they didn't have that standard. 368 00:18:07,880 --> 00:18:11,240 Speaker 2: It was just a preponderance of evidence standard, which is 369 00:18:11,320 --> 00:18:13,400 Speaker 2: much less than beyond a shadow of a doubt standard. 370 00:18:13,600 --> 00:18:16,280 Speaker 2: And we heard tons and tons of stories of students 371 00:18:16,680 --> 00:18:20,800 Speaker 2: being accused of wrongdoing and okay, fine, but you saw 372 00:18:20,840 --> 00:18:24,080 Speaker 2: a lot of kids had their lives ruined when there 373 00:18:24,160 --> 00:18:26,639 Speaker 2: was no more evidence other than just a simple accusation 374 00:18:26,720 --> 00:18:30,679 Speaker 2: that took place, and it really, on the surface, created 375 00:18:30,720 --> 00:18:33,760 Speaker 2: what appeared to be a pretty unfair system that took place. 376 00:18:33,960 --> 00:18:36,080 Speaker 2: And Trump went to the Department of Education said, hey, 377 00:18:36,080 --> 00:18:38,080 Speaker 2: this isn't how we're going to do things anymore, and 378 00:18:38,080 --> 00:18:40,840 Speaker 2: we're going to require these universities to actually have better 379 00:18:40,960 --> 00:18:44,200 Speaker 2: standards and processes in their disciplinary process. 380 00:18:44,240 --> 00:18:46,320 Speaker 1: Well not only that, but he also reshipped the committee 381 00:18:46,320 --> 00:18:49,840 Speaker 1: that oversees college accreditors, so that could change how colleges 382 00:18:49,920 --> 00:18:53,800 Speaker 1: qualify for federal student aid and loosen oversight as well. 383 00:18:53,840 --> 00:18:55,400 Speaker 2: And this has been a big obviously you know. 384 00:18:55,400 --> 00:19:00,120 Speaker 1: Chedging disciplinary but also you know how you get those loans, 385 00:19:00,160 --> 00:19:01,720 Speaker 1: and you know, I don't. 386 00:19:01,560 --> 00:19:03,719 Speaker 2: Think it's an overstatement to say Donald Trump has been 387 00:19:03,760 --> 00:19:06,200 Speaker 2: at war with elite university since he came back into 388 00:19:06,280 --> 00:19:10,240 Speaker 2: office last year. I mean, he filed lawsuits and took 389 00:19:10,280 --> 00:19:13,560 Speaker 2: federal funding and money away from all of these elite institutions. 390 00:19:13,800 --> 00:19:18,000 Speaker 2: And you know, probably rightly so. Elite colleges have been 391 00:19:18,000 --> 00:19:20,720 Speaker 2: out of control in every aspect to you know, the 392 00:19:20,800 --> 00:19:24,399 Speaker 2: wasteful money, out of control tuition, the way they operate themselves. 393 00:19:24,600 --> 00:19:26,280 Speaker 2: Find you know, it's again one of those things where 394 00:19:26,280 --> 00:19:28,919 Speaker 2: the general public says, you know, common sense says, this 395 00:19:29,000 --> 00:19:32,840 Speaker 2: isn't working. Universities, what you're doing isn't working. Yet nobody 396 00:19:32,840 --> 00:19:34,719 Speaker 2: wanted to do anything to fix it. And Trump's come 397 00:19:34,720 --> 00:19:36,159 Speaker 2: into office and said, okay, I'm going to be the 398 00:19:36,160 --> 00:19:38,560 Speaker 2: guy that sits here and say we can't keep doing 399 00:19:38,600 --> 00:19:41,159 Speaker 2: this any longer. And he's done that with universities in 400 00:19:41,240 --> 00:19:42,399 Speaker 2: a lot of different areas. 401 00:19:42,440 --> 00:19:44,480 Speaker 1: Another thing that he's done in his first year in 402 00:19:44,520 --> 00:19:48,760 Speaker 1: office is stop minting the penny, which thing price is up. 403 00:19:49,040 --> 00:19:51,560 Speaker 2: I still don't know how that's going to work. How 404 00:19:51,600 --> 00:19:53,040 Speaker 2: is that going to work now? It's going to take 405 00:19:53,040 --> 00:19:55,320 Speaker 2: time because there's still so many pennies. There's still pennies 406 00:19:55,320 --> 00:20:00,200 Speaker 2: in circulation, but as time goes by, those pennies will disappear, so. 407 00:20:00,520 --> 00:20:02,800 Speaker 1: Wound up most likely and it could cost you money 408 00:20:02,840 --> 00:20:03,560 Speaker 1: at the end of the day. 409 00:20:03,680 --> 00:20:06,119 Speaker 2: So if I, you know, pay cash, and I go 410 00:20:06,160 --> 00:20:07,960 Speaker 2: and buy a pack of gum and it's whatever, you know, 411 00:20:08,040 --> 00:20:12,119 Speaker 2: dollars seventy five or let's say a dollar seventy six 412 00:20:12,440 --> 00:20:13,240 Speaker 2: and I give them. 413 00:20:13,080 --> 00:20:14,639 Speaker 1: Two, it's an expensive pack of gum. 414 00:20:14,840 --> 00:20:16,359 Speaker 2: I think that's about Hey, when was the last time 415 00:20:16,400 --> 00:20:19,280 Speaker 2: you bought gum? Inflation? Have you seen the prices of things? 416 00:20:19,400 --> 00:20:22,359 Speaker 2: Is not just gasoline and property taxes and energy. The 417 00:20:22,400 --> 00:20:24,640 Speaker 2: price of gum has gone up as well. I gotta 418 00:20:24,680 --> 00:20:26,880 Speaker 2: get my trident. But if you go buy a pass 419 00:20:27,000 --> 00:20:29,439 Speaker 2: pack of gum, it's a dollar seventy six after tax, 420 00:20:29,840 --> 00:20:33,719 Speaker 2: and I give you two dollars. What happens to the 421 00:20:33,760 --> 00:20:36,159 Speaker 2: four cents out of my twenty four cents in change? 422 00:20:37,400 --> 00:20:39,000 Speaker 2: Does it just get rounded up and I only get 423 00:20:39,040 --> 00:20:41,000 Speaker 2: twenty cents back and change? Now, this is it's not 424 00:20:41,040 --> 00:20:42,679 Speaker 2: the you know, a huge deal. It's not the end 425 00:20:42,680 --> 00:20:44,600 Speaker 2: of the world. Shoot. Most people pay with credit cards 426 00:20:44,720 --> 00:20:47,800 Speaker 2: or debit cards anyway, not as many cash transactions. I 427 00:20:47,800 --> 00:20:49,160 Speaker 2: just don't understand how that's going to work. 428 00:20:49,200 --> 00:20:50,959 Speaker 1: There's more on this list we'll get to, but right 429 00:20:50,960 --> 00:20:52,760 Speaker 1: now we're gonna get you updated with the news. It 430 00:20:52,840 --> 00:21:04,040 Speaker 1: is ninety three WYBC. Nearly every day the news cycle 431 00:21:04,240 --> 00:21:10,120 Speaker 1: includes some development that was unthinkable under any of his predecessors, 432 00:21:10,160 --> 00:21:13,960 Speaker 1: but Donald Trump. And this does include his first term 433 00:21:14,000 --> 00:21:19,520 Speaker 1: as president, his own presidency. But things happen so fast 434 00:21:19,760 --> 00:21:23,640 Speaker 1: with this Trump administration you can lose sight of some 435 00:21:23,720 --> 00:21:27,760 Speaker 1: of the things that are happening. We focus on the 436 00:21:27,800 --> 00:21:31,720 Speaker 1: big ticket items, and yet things continue to happen that 437 00:21:32,200 --> 00:21:35,480 Speaker 1: you may have forgotten about or or didn't even know about. 438 00:21:36,040 --> 00:21:41,760 Speaker 1: Big picture, But overall, Trump has been using his executive 439 00:21:41,880 --> 00:21:46,080 Speaker 1: power very aggressively, much quicker than even in his first term. 440 00:21:46,359 --> 00:21:50,359 Speaker 1: It's kind of like lesson learned, and now he's reshaping 441 00:21:50,440 --> 00:21:55,479 Speaker 1: policy across all spectrums. And I wanted to go back 442 00:21:55,560 --> 00:21:58,400 Speaker 1: to this article from Politico. They point out twenty five 443 00:21:58,480 --> 00:22:01,800 Speaker 1: things that you may have missed in Trump's first year, 444 00:22:02,359 --> 00:22:06,199 Speaker 1: one of them about military and defense. Of course, you 445 00:22:06,240 --> 00:22:08,080 Speaker 1: hear the big stories about you know, what's going on 446 00:22:08,119 --> 00:22:12,919 Speaker 1: in Venezuela and bombing Iran, But how about Trump reversing 447 00:22:13,119 --> 00:22:18,880 Speaker 1: the names of several military bases. They were previously stripped 448 00:22:18,880 --> 00:22:22,840 Speaker 1: of their Confederate names, and the Trump administration brought them back. 449 00:22:23,119 --> 00:22:26,359 Speaker 1: Of Course, a lot of civil rights groups have objected 450 00:22:26,400 --> 00:22:29,280 Speaker 1: to that, but Congress has not stopped the changes. 451 00:22:29,760 --> 00:22:33,840 Speaker 2: Yeah, you know, Congress, you know the country set up 452 00:22:33,880 --> 00:22:37,560 Speaker 2: with three separate, equal, you know, branches of the of 453 00:22:37,600 --> 00:22:40,280 Speaker 2: the federal government here, and Congress could put a stop 454 00:22:40,320 --> 00:22:42,120 Speaker 2: to any of this at any time that they want to, 455 00:22:42,440 --> 00:22:44,720 Speaker 2: but they haven't done it. Here's one that I've found 456 00:22:44,800 --> 00:22:46,760 Speaker 2: interesting because it affects me, but I think it affects 457 00:22:46,760 --> 00:22:48,760 Speaker 2: a lot of other people too. As it relates to 458 00:22:48,800 --> 00:22:52,399 Speaker 2: the tariffs. There used to be an exemption up to 459 00:22:52,440 --> 00:22:54,560 Speaker 2: eight hundred dollars so I could buy as a consumer, 460 00:22:54,600 --> 00:22:57,000 Speaker 2: I could buy something from a company in Canada and 461 00:22:57,040 --> 00:22:59,080 Speaker 2: let's say it was fifty dollars, and they could ship 462 00:22:59,080 --> 00:23:00,720 Speaker 2: it to me and there would be no tariff on 463 00:23:00,760 --> 00:23:03,280 Speaker 2: that because it's less than eight hundred dollars. And that's 464 00:23:03,280 --> 00:23:07,160 Speaker 2: the exemption that's gone. Now. Every purchase for anything between 465 00:23:07,240 --> 00:23:10,119 Speaker 2: Canada and the United States is now subject to tariffs. 466 00:23:10,160 --> 00:23:12,320 Speaker 2: And you know, when I'm not here on WIBC, I 467 00:23:12,359 --> 00:23:14,440 Speaker 2: operate a small business. I have a lot of customers 468 00:23:14,480 --> 00:23:16,440 Speaker 2: in Canada. I used to be able to send things 469 00:23:16,480 --> 00:23:18,440 Speaker 2: back and forth across the border when I would sell 470 00:23:18,480 --> 00:23:21,320 Speaker 2: things in Canada, all the time. But now I've seen 471 00:23:21,359 --> 00:23:23,520 Speaker 2: a big pullback for my customers in Canada because if 472 00:23:23,560 --> 00:23:25,400 Speaker 2: I sell something that is, you know, three or four 473 00:23:25,480 --> 00:23:27,600 Speaker 2: hundred dollars, my customer is going to have to pay 474 00:23:27,600 --> 00:23:29,560 Speaker 2: a tariff on it when it arrives at their house. 475 00:23:29,840 --> 00:23:33,040 Speaker 2: That eight hundred dollar exemption going away something that kind 476 00:23:33,040 --> 00:23:34,720 Speaker 2: of slid through the cracks for a lot of people, 477 00:23:34,760 --> 00:23:36,280 Speaker 2: but but can be pretty impactful. 478 00:23:36,440 --> 00:23:38,879 Speaker 1: Yeah, we hear the big talk about the big tariffs right. 479 00:23:38,880 --> 00:23:41,960 Speaker 2: Right, we're gonna mention twenty five percent you know, tariffon 480 00:23:42,080 --> 00:23:45,359 Speaker 2: auto imports into you know, Northern Ireland or whatever it was. 481 00:23:45,440 --> 00:23:47,440 Speaker 2: And we think about that and go, oh, that's really 482 00:23:47,520 --> 00:23:48,800 Speaker 2: not going to affect me at all, But. 483 00:23:49,240 --> 00:23:50,800 Speaker 1: You've got the exemption for the low cost. 484 00:23:50,960 --> 00:23:53,320 Speaker 2: A small dollar exemption can affect a lot of people. 485 00:23:53,359 --> 00:23:57,080 Speaker 2: Anytime you buy something that is overseas, that small dollar 486 00:23:57,119 --> 00:23:58,399 Speaker 2: exemption completely gone. 487 00:23:58,560 --> 00:24:00,760 Speaker 1: So what does that mean? Of course, higher prices for 488 00:24:00,880 --> 00:24:03,639 Speaker 1: people that are making purchases online. 489 00:24:03,440 --> 00:24:06,480 Speaker 2: High higher prices. If we're making a purchase for something online, 490 00:24:06,480 --> 00:24:08,359 Speaker 2: we're going to have to buy it here domestically or 491 00:24:08,400 --> 00:24:11,000 Speaker 2: suffer through the teriffs. But again, as a small business owner, 492 00:24:11,040 --> 00:24:13,960 Speaker 2: for me, it reduces my customer base because now my 493 00:24:14,000 --> 00:24:16,159 Speaker 2: customers in Canada, especially which I did a lot of 494 00:24:16,200 --> 00:24:18,479 Speaker 2: business with in the past, aren't going to be as 495 00:24:18,520 --> 00:24:21,560 Speaker 2: willing to purchase from me because whatever they purchase, they're 496 00:24:21,560 --> 00:24:23,080 Speaker 2: going to have to pay a teriff on it when 497 00:24:23,119 --> 00:24:25,720 Speaker 2: it comes into their when it comes into their own country. 498 00:24:25,880 --> 00:24:28,719 Speaker 1: Another thing that the Trump administration has done, and this 499 00:24:28,760 --> 00:24:32,280 Speaker 1: probably falls under the MAHA movement, is that they have 500 00:24:32,640 --> 00:24:36,919 Speaker 1: fast tracked some psychedelics. Their health team. They've been pushing 501 00:24:36,960 --> 00:24:41,439 Speaker 1: for faster approval of psychedelic drugs and this is mainly 502 00:24:41,480 --> 00:24:45,680 Speaker 1: for mental health treatment. And another thing that they are 503 00:24:45,960 --> 00:24:50,159 Speaker 1: really advocating for is moving away from animal testing. So 504 00:24:50,960 --> 00:24:56,359 Speaker 1: that's raising both praise and also concerns from the same 505 00:24:56,640 --> 00:24:57,679 Speaker 1: medical community. 506 00:24:58,119 --> 00:25:00,479 Speaker 2: Yeah, and a big change that I didn't wouldn't even 507 00:25:00,520 --> 00:25:03,000 Speaker 2: aware of. That, Like, that wasn't something that I forgot about. 508 00:25:03,040 --> 00:25:04,600 Speaker 2: That was something I wasn't. You just didn't even I 509 00:25:04,600 --> 00:25:06,800 Speaker 2: didn't even know that that was Yeah, the article is 510 00:25:06,840 --> 00:25:09,360 Speaker 2: supposed to be twenty five things you forgot Trump did 511 00:25:09,359 --> 00:25:11,080 Speaker 2: it his first year. I didn't even have a chance to. 512 00:25:11,280 --> 00:25:13,000 Speaker 2: And one thing you didn't even know, right, I didn't 513 00:25:13,000 --> 00:25:14,680 Speaker 2: even have a chance to forget it. I just had 514 00:25:14,680 --> 00:25:16,080 Speaker 2: no idea that that even took place. 515 00:25:16,720 --> 00:25:21,119 Speaker 1: As far as public spaces goes, uh, Trump has moved 516 00:25:21,400 --> 00:25:24,680 Speaker 1: to seize control of the public golf courses in Washington, 517 00:25:24,760 --> 00:25:29,680 Speaker 1: d C. The public access has shrink in favor of 518 00:25:29,760 --> 00:25:31,480 Speaker 1: a lot of the redevelopment that. 519 00:25:31,400 --> 00:25:33,600 Speaker 2: I think this goes back to a lot of you know, 520 00:25:33,640 --> 00:25:36,520 Speaker 2: Trump's fight against the bureaucracy, you know, the federal government, 521 00:25:36,560 --> 00:25:39,240 Speaker 2: because Washington, d C. Isn't a state, it is kind of, 522 00:25:39,280 --> 00:25:42,840 Speaker 2: you know, quasi governed by by the President in Congress, 523 00:25:43,200 --> 00:25:46,760 Speaker 2: and for the most part, for generations, the presidents in 524 00:25:46,800 --> 00:25:49,600 Speaker 2: Congress have just pretty much let DC just do whatever 525 00:25:49,640 --> 00:25:52,560 Speaker 2: they want to do, have let the bureaucracy run it 526 00:25:52,640 --> 00:25:55,320 Speaker 2: however it wants to. And you know, and Trump has 527 00:25:55,359 --> 00:25:57,680 Speaker 2: gone in there on a number of different areas and said, 528 00:25:57,920 --> 00:26:00,359 Speaker 2: not anymore, guys. There's a new sheriff in town. And 529 00:26:00,600 --> 00:26:03,920 Speaker 2: you know, taking over operations of Washington, DC's public golf 530 00:26:03,960 --> 00:26:05,840 Speaker 2: courses is just another small example of that. 531 00:26:05,960 --> 00:26:09,280 Speaker 1: So something that he has done. Mogul has announced tariffs 532 00:26:09,320 --> 00:26:14,600 Speaker 1: on eight European countries. They include Denmark, the UK, France, Germany, Norway, Sweden, Finland, 533 00:26:14,680 --> 00:26:18,760 Speaker 1: and the Netherlands, and the reason given, well, this is 534 00:26:18,800 --> 00:26:23,479 Speaker 1: all in his push to acquire Greenland from Denmark. Claims 535 00:26:23,520 --> 00:26:26,400 Speaker 1: the island is critical for US defense, and the tariffs 536 00:26:26,400 --> 00:26:30,159 Speaker 1: will remain until a deal is reached ten percent on 537 00:26:30,240 --> 00:26:35,840 Speaker 1: exports starting February first, twenty five percent starting June first, 538 00:26:36,200 --> 00:26:40,040 Speaker 1: This as NATO is sending in troops to Greenland to 539 00:26:40,640 --> 00:26:41,800 Speaker 1: protect it. 540 00:26:42,160 --> 00:26:43,879 Speaker 2: Did you just call Donald Trump mogul? 541 00:26:44,119 --> 00:26:47,159 Speaker 1: I did call him mogul. That is his call sign that. 542 00:26:47,080 --> 00:26:48,960 Speaker 2: And we found that out just recently here. I know 543 00:26:49,040 --> 00:26:51,119 Speaker 2: you can google this and find this information out, but 544 00:26:51,200 --> 00:26:53,440 Speaker 2: like you know, the Secret Service call sign or how 545 00:26:53,480 --> 00:26:56,040 Speaker 2: that they refer to them, Donald Trump is called mogul. 546 00:26:56,119 --> 00:26:58,280 Speaker 2: So I had to go back and look and find 547 00:26:58,320 --> 00:27:02,560 Speaker 2: out what some of the previous presidents call signs were like. 548 00:27:02,560 --> 00:27:05,119 Speaker 2: For example, Jimmy Carter's was Deacon. You know, he had 549 00:27:05,160 --> 00:27:07,840 Speaker 2: a very strong religious background. Deacon is a you know, 550 00:27:07,920 --> 00:27:10,600 Speaker 2: a religious figure. My favorite out of all of them 551 00:27:10,680 --> 00:27:14,560 Speaker 2: was Ronald Reagan's. His secret Service code name was raw Hyde, 552 00:27:15,000 --> 00:27:16,600 Speaker 2: which I love because you know, he was, you know, 553 00:27:16,680 --> 00:27:19,159 Speaker 2: starred in so many Westerns as an actor and you know, 554 00:27:19,440 --> 00:27:22,520 Speaker 2: lived on a ranch in California. Even you know, after 555 00:27:22,560 --> 00:27:24,800 Speaker 2: he was, you know, president of the United States. That 556 00:27:24,920 --> 00:27:26,960 Speaker 2: just kind of fit him really well. And plus I 557 00:27:27,080 --> 00:27:31,360 Speaker 2: just think it's a badass name. Wasn't Joe Biden Celtic 558 00:27:32,160 --> 00:27:35,240 Speaker 2: Celtic exactly Celtic or Celtic depending on how you pronounce it, 559 00:27:35,240 --> 00:27:36,879 Speaker 2: but Joe Biden was Celtic Irish. 560 00:27:37,440 --> 00:27:41,440 Speaker 1: So they get a letter and the entire family has 561 00:27:41,480 --> 00:27:45,199 Speaker 1: to their their call sign is with that letter. So 562 00:27:45,320 --> 00:27:48,359 Speaker 1: clearly the Trump administration their letter is m right, and 563 00:27:48,400 --> 00:27:53,480 Speaker 1: if Donald Trump is Mogul, Milania is muse, Don Junior 564 00:27:53,600 --> 00:27:57,920 Speaker 1: is Mountaineer, Avanka is Marvel, and Eric Trump as marksman. 565 00:27:58,520 --> 00:28:01,080 Speaker 2: Yeah, that's something I didn't know until this weekend either, 566 00:28:01,160 --> 00:28:03,280 Speaker 2: is that they all all the entire you know, I 567 00:28:03,280 --> 00:28:07,359 Speaker 2: guess extended family that gets Secret Service protection. Secret Service 568 00:28:07,440 --> 00:28:09,960 Speaker 2: is like, here's your name, here's your letter. Everybody's got 569 00:28:09,960 --> 00:28:11,800 Speaker 2: to come up with a call sign you know, that fits, 570 00:28:11,840 --> 00:28:16,520 Speaker 2: that starts with that letter. And so Marvel for Avanka 571 00:28:16,600 --> 00:28:19,760 Speaker 2: was pretty interesting. I saw here too. Barack Obama's call 572 00:28:19,840 --> 00:28:24,240 Speaker 2: sign was renegade, so obviously they had r for his 573 00:28:24,320 --> 00:28:25,280 Speaker 2: family and their protection. 574 00:28:25,400 --> 00:28:28,159 Speaker 1: They had our Okay, so let's talk about what Elon 575 00:28:28,280 --> 00:28:31,760 Speaker 1: Musk has recently dined. He gave ten million dollars to 576 00:28:31,880 --> 00:28:36,160 Speaker 1: support Nate Morris, who is a pro Trump candidate running 577 00:28:36,520 --> 00:28:41,360 Speaker 1: for Mitch McConnell's seat in Kentucky. This is the biggest 578 00:28:41,400 --> 00:28:45,960 Speaker 1: single contribution Musk has ever made to a Senate candidate. 579 00:28:46,120 --> 00:28:50,000 Speaker 1: So what does this signify, Well, that Musk is back 580 00:28:50,040 --> 00:28:54,440 Speaker 1: in right, He's back into the donating money, which is. 581 00:28:54,480 --> 00:28:55,960 Speaker 2: Kind of which is kind of funny because he was 582 00:28:56,000 --> 00:28:58,240 Speaker 2: obviously very a very big part of the twenty twenty 583 00:28:58,280 --> 00:29:01,360 Speaker 2: four presidential election, and you donated over one hundred million 584 00:29:01,400 --> 00:29:03,960 Speaker 2: dollars to various you know, conservative candidates for that. And 585 00:29:04,000 --> 00:29:07,120 Speaker 2: then when the fallout happened with Donald Trump in the administration, 586 00:29:07,200 --> 00:29:08,640 Speaker 2: he said he was going to start his own party. 587 00:29:08,840 --> 00:29:11,400 Speaker 2: I'm going to start the America Party America And that 588 00:29:11,480 --> 00:29:13,800 Speaker 2: lasted for about a weekend and then we haven't heard 589 00:29:13,800 --> 00:29:16,360 Speaker 2: anything about the America Party since. And then Elon talked 590 00:29:16,360 --> 00:29:19,640 Speaker 2: about how, you know, I'm done supporting politicians. It's you know, 591 00:29:19,680 --> 00:29:22,440 Speaker 2: a rotten, crooked industry. I'm not going to be supporting 592 00:29:22,480 --> 00:29:25,600 Speaker 2: politicians anymore. And now he's come back with ten million 593 00:29:25,640 --> 00:29:28,600 Speaker 2: dollars for this Senate the Senate seat out of Kentucky. 594 00:29:28,640 --> 00:29:30,200 Speaker 2: But it must be difficult. I mean, if you're the 595 00:29:30,320 --> 00:29:33,000 Speaker 2: richest man in the world that I don't know today 596 00:29:33,080 --> 00:29:36,200 Speaker 2: what his net worth is, I'm sure it's seven hundred billion, 597 00:29:36,200 --> 00:29:38,400 Speaker 2: eight hundred billion dollar billions. It's on its way to 598 00:29:38,400 --> 00:29:41,840 Speaker 2: an exactly. So if you if you're the richest man 599 00:29:41,880 --> 00:29:44,040 Speaker 2: in the world and you're you know, bumping up against 600 00:29:44,080 --> 00:29:47,760 Speaker 2: a trillion dollars in your personal net worth, I gotta 601 00:29:47,760 --> 00:29:52,400 Speaker 2: believe it's just too irresistible for him to not spend 602 00:29:52,480 --> 00:29:55,200 Speaker 2: some of that money to try and influence political outcomes. 603 00:29:55,200 --> 00:29:57,280 Speaker 2: And it sounds like it is irresistible to him because 604 00:29:57,280 --> 00:29:58,920 Speaker 2: he threw his hands up before and he's like, I'm 605 00:29:58,960 --> 00:30:02,840 Speaker 2: done with this, I'm out of it, I'm back into it, 606 00:30:02,840 --> 00:30:04,080 Speaker 2: and here's ten million dollars. 607 00:30:04,160 --> 00:30:06,080 Speaker 1: Well, sure, it does firmly put him back in the 608 00:30:06,120 --> 00:30:08,880 Speaker 1: GOP camp. It also does signal that he plans to 609 00:30:08,920 --> 00:30:12,720 Speaker 1: spend some money in the twenty six midterms to help 610 00:30:12,960 --> 00:30:16,800 Speaker 1: his Republican friends retain their congressional majority. 611 00:30:17,000 --> 00:30:19,280 Speaker 2: Yeah, if you think this is the only candidate that 612 00:30:19,320 --> 00:30:21,400 Speaker 2: he's going to dump ten million dollars on, I can't 613 00:30:21,400 --> 00:30:22,320 Speaker 2: believe that's the case. 614 00:30:22,560 --> 00:30:24,520 Speaker 1: I mean, how many people are knocking on his door. 615 00:30:24,520 --> 00:30:28,200 Speaker 2: Excuse me, Elon, can you imagine what that process is 616 00:30:28,480 --> 00:30:31,720 Speaker 2: like a little bit of that. Everybody who's a politician 617 00:30:31,760 --> 00:30:37,720 Speaker 2: down to dog catchers in Arkansas are reaching out and saying, hey, hey, hey, 618 00:30:37,960 --> 00:30:41,080 Speaker 2: what about me? Hey remember that remember that time when 619 00:30:41,080 --> 00:30:43,400 Speaker 2: you were in the government and you did that whole 620 00:30:43,440 --> 00:30:44,080 Speaker 2: dose thing. 621 00:30:44,280 --> 00:30:45,080 Speaker 1: I thought that was cool. 622 00:30:45,160 --> 00:30:46,760 Speaker 2: That was awesome. Yeah, that was awesome. 623 00:30:46,880 --> 00:30:47,840 Speaker 1: Can I support my plan? 624 00:30:48,040 --> 00:30:51,280 Speaker 2: I'd like to do that here in Wyoming. Could you 625 00:30:51,320 --> 00:30:52,320 Speaker 2: please give me some money. 626 00:30:52,400 --> 00:30:54,840 Speaker 1: I gotta believe anybody's going to be better than Mitch McConnell. 627 00:30:54,880 --> 00:30:58,080 Speaker 2: Though, well he's gone. He's gone, no matter what. But 628 00:30:58,320 --> 00:31:00,320 Speaker 2: there's going to be a huge battle for in the 629 00:31:00,360 --> 00:31:02,920 Speaker 2: Republican primary for Mitch McConnell's seat. 630 00:31:03,240 --> 00:31:07,280 Speaker 1: And well, Nate Morris now has ten million dollars thanks 631 00:31:07,280 --> 00:31:08,960 Speaker 1: to Elon Musk to make it happen. 632 00:31:09,400 --> 00:31:12,160 Speaker 2: And what's the crazy to think about is ten million 633 00:31:12,200 --> 00:31:15,560 Speaker 2: dollars an incredible amount of money. That's just probably a start. 634 00:31:15,600 --> 00:31:18,440 Speaker 2: He's probably gonna have to raise a minimum twice that, 635 00:31:18,520 --> 00:31:20,600 Speaker 2: if not three or four times that amount of money 636 00:31:21,080 --> 00:31:23,360 Speaker 2: if he ends up getting the nominee and taking this 637 00:31:23,400 --> 00:31:24,320 Speaker 2: to a general election. 638 00:31:24,400 --> 00:31:27,600 Speaker 1: Let's see who is Nate Morris. He's an entrepreneur and 639 00:31:27,640 --> 00:31:30,920 Speaker 1: tech executive. He's the founder of Rubicon. 640 00:31:31,000 --> 00:31:32,320 Speaker 2: And oh sure Rubicon. 641 00:31:32,480 --> 00:31:38,800 Speaker 1: He's an anti establishment guy, ninth ninth generation Kentuckian. And 642 00:31:39,080 --> 00:31:43,800 Speaker 1: let's see here, he's plans to self fund much of 643 00:31:43,840 --> 00:31:47,880 Speaker 1: his campaign, with the exception of the ten million dollars 644 00:31:47,920 --> 00:31:53,960 Speaker 1: from Elan. I'm gonna fund this all by myself. Elon, 645 00:31:54,080 --> 00:31:57,480 Speaker 1: can I have ten large, ten very very large. 646 00:31:57,720 --> 00:32:01,360 Speaker 2: Sure, Hey, he went out and raised that money from 647 00:32:01,360 --> 00:32:05,040 Speaker 2: Elon Muck's musk buy himself all back. But what's interesting 648 00:32:05,080 --> 00:32:08,400 Speaker 2: about Nate Morris is is that he's not this lifelong 649 00:32:08,640 --> 00:32:12,520 Speaker 2: political walk who has spent his entire career in politics. 650 00:32:12,560 --> 00:32:14,080 Speaker 1: So what he's an outsider. 651 00:32:14,520 --> 00:32:17,320 Speaker 2: I think he is an outsider, and I think it's 652 00:32:17,360 --> 00:32:19,239 Speaker 2: true that he is an outsider. This will be his 653 00:32:19,320 --> 00:32:21,479 Speaker 2: first that still sell votes. 654 00:32:22,040 --> 00:32:24,200 Speaker 1: When you say I'm an outsider, well I think I can. 655 00:32:24,440 --> 00:32:26,280 Speaker 1: He all say it it's watered down, But. 656 00:32:26,240 --> 00:32:28,800 Speaker 2: If you can prove that it's true, I think it helps. 657 00:32:28,840 --> 00:32:31,200 Speaker 2: And so this guy's never run for political office before, 658 00:32:31,200 --> 00:32:33,280 Speaker 2: he's never held political office. He's brand new to the 659 00:32:33,280 --> 00:32:37,000 Speaker 2: political scene. I think when you've got those sorts of credentials, 660 00:32:37,040 --> 00:32:40,280 Speaker 2: behind you. That proves you're an outsider. When you say 661 00:32:40,280 --> 00:32:43,320 Speaker 2: you're an outsider. Yeah, people believe it. If you're you know, 662 00:32:43,360 --> 00:32:46,520 Speaker 2: Bernie Sanders saying you're an outsider, everybody's gonna, you know, 663 00:32:47,760 --> 00:32:51,320 Speaker 2: fart Nooy's thumbs down. Nobody believes that he he's an outsider. 664 00:32:51,400 --> 00:32:53,880 Speaker 1: It just means nobody wants to work with them. 665 00:32:53,960 --> 00:32:56,959 Speaker 2: It means I want you to go outside and away 666 00:32:56,960 --> 00:32:59,520 Speaker 2: from me while I stay inside, that you go over there. 667 00:32:59,560 --> 00:33:02,240 Speaker 2: That's not believable, but it's believable when this guy does 668 00:33:02,240 --> 00:33:04,000 Speaker 2: it because he's never been in politics before. 669 00:33:04,240 --> 00:33:13,160 Speaker 1: This is the Kendallly Casey Show. It's ninety three WIBC. Okay, 670 00:33:13,240 --> 00:33:16,600 Speaker 1: you've been waiting patiently all morning long. I'm proud of you, by. 671 00:33:16,440 --> 00:33:18,800 Speaker 2: The way, Yeah, you're proud of me. Good. What are 672 00:33:18,800 --> 00:33:19,400 Speaker 2: we talking about? 673 00:33:19,440 --> 00:33:20,920 Speaker 1: We're going to talk about the Bears. 674 00:33:21,520 --> 00:33:24,360 Speaker 2: Okay. Obviously you spent a lot of. 675 00:33:24,320 --> 00:33:26,360 Speaker 1: Time talking about IU football. 676 00:33:26,120 --> 00:33:28,640 Speaker 2: And it is I you special day as it should be. 677 00:33:28,640 --> 00:33:29,400 Speaker 2: And latterday was. 678 00:33:29,400 --> 00:33:30,080 Speaker 1: The special day. 679 00:33:30,240 --> 00:33:31,000 Speaker 2: I loved it as much. 680 00:33:31,040 --> 00:33:31,960 Speaker 1: It's their special day. 681 00:33:31,960 --> 00:33:34,160 Speaker 2: I loved it, you know, just great. I did it. 682 00:33:34,240 --> 00:33:35,880 Speaker 2: I was up till two o'clock in the morning watching 683 00:33:35,920 --> 00:33:38,000 Speaker 2: the post game and scaning Twitter for everything. 684 00:33:38,040 --> 00:33:38,240 Speaker 1: I you. 685 00:33:38,400 --> 00:33:40,360 Speaker 2: But there was also another big football game over the 686 00:33:40,400 --> 00:33:42,000 Speaker 2: weekend and it was the Bears on Sunday night. 687 00:33:42,160 --> 00:33:45,640 Speaker 1: Yeah, and they lost. So the city of Gary, I 688 00:33:45,800 --> 00:33:48,600 Speaker 1: like pointing that out, you do. The City of Gary 689 00:33:49,160 --> 00:33:53,560 Speaker 1: has released renderings of three potential sites for a new 690 00:33:53,760 --> 00:33:59,240 Speaker 1: Chicago Bears stadium India, trying to lure the Bears away 691 00:33:59,240 --> 00:34:00,680 Speaker 1: from Chicago, Illinois. 692 00:34:00,960 --> 00:34:02,440 Speaker 2: Yeah, we can go back and talk about you know, 693 00:34:02,520 --> 00:34:04,680 Speaker 2: the Bears play at Soldier Field. It's owned by the 694 00:34:04,720 --> 00:34:07,080 Speaker 2: city of Chicago. It's not owned by the Bears. They're 695 00:34:07,160 --> 00:34:10,840 Speaker 2: just a tenant. Every NFL team in the world wants 696 00:34:10,880 --> 00:34:12,879 Speaker 2: the city and state that they're in to buy them 697 00:34:12,880 --> 00:34:15,360 Speaker 2: a free new stadium. Chicago said no. So the Bears 698 00:34:15,360 --> 00:34:17,879 Speaker 2: are going to look and buy some property in Arlington Heights, 699 00:34:17,920 --> 00:34:21,320 Speaker 2: which is a western suburb. And the fascinating thing about 700 00:34:21,320 --> 00:34:24,200 Speaker 2: this is a lot of this so funny. A lot 701 00:34:24,239 --> 00:34:27,359 Speaker 2: of this has come down to property taxes because if 702 00:34:27,400 --> 00:34:30,120 Speaker 2: the Bears build in Arlington Heights, they figured out that 703 00:34:30,120 --> 00:34:33,080 Speaker 2: their property taxes would be seventy five million dollars a year. 704 00:34:33,520 --> 00:34:35,760 Speaker 2: In Indiana, it'll be zero. 705 00:34:36,280 --> 00:34:39,640 Speaker 1: So the sites include Gary West End near hard Rock Casino, 706 00:34:40,440 --> 00:34:43,960 Speaker 1: Buffington Harbor, which is a lakefront location near Lake Michigan, 707 00:34:44,040 --> 00:34:48,800 Speaker 1: and also Miller Beach near the Indiana Dudes, which already 708 00:34:48,880 --> 00:34:53,160 Speaker 1: sees millions of visitors, and that would just mean even more. 709 00:34:53,239 --> 00:34:55,960 Speaker 1: The renderings were pretty Is it going to happen? Gary? 710 00:34:56,440 --> 00:34:57,040 Speaker 1: I don't think so. 711 00:34:57,280 --> 00:34:58,440 Speaker 2: The Bears are going to get back. 712 00:34:58,280 --> 00:35:01,000 Speaker 1: In ninety four it didn't work, then, is it going 713 00:35:01,080 --> 00:35:04,120 Speaker 1: to work now? We'll see. This is the Kendall and 714 00:35:04,200 --> 00:35:06,400 Speaker 1: Casey Show. It's ninety three w IBC.