1 00:00:00,120 --> 00:00:02,320 Speaker 1: He's passing out major award. 2 00:00:02,520 --> 00:00:04,120 Speaker 2: It's a major award. 3 00:00:04,320 --> 00:00:07,240 Speaker 1: Fragile No, I think it says fragile. 4 00:00:07,440 --> 00:00:09,360 Speaker 2: Oh. 5 00:00:09,480 --> 00:00:13,680 Speaker 3: The Governor Mike Brown recently honoring Lucas Oil founder Forrest 6 00:00:13,800 --> 00:00:17,040 Speaker 3: Lucas with the twenty twenty five se Chum Award. 7 00:00:17,120 --> 00:00:19,040 Speaker 4: I'd never heard of this before. I've obviously heard of 8 00:00:19,360 --> 00:00:22,640 Speaker 4: Sagamore of the Wabash. That's the big award that former 9 00:00:22,680 --> 00:00:25,079 Speaker 4: Governor Holkom ended up passing out like candy there for 10 00:00:25,120 --> 00:00:26,440 Speaker 4: a while, and everybody got one. 11 00:00:26,680 --> 00:00:29,480 Speaker 1: This is a better award, this is even higher real 12 00:00:29,600 --> 00:00:32,360 Speaker 1: what Yeah, Okay, this is the state's. 13 00:00:32,240 --> 00:00:37,800 Speaker 3: Highest honor and it was awarded posthumously to Lucas Oil 14 00:00:37,840 --> 00:00:42,600 Speaker 3: founder Forrest Lucas. So the Sechum Award is presented to 15 00:00:42,680 --> 00:00:47,919 Speaker 3: individuals who have profoundly shaped Indiana through character, leadership and 16 00:00:48,240 --> 00:00:53,880 Speaker 3: also service. So congratulations to the family they picked up 17 00:00:53,880 --> 00:00:57,080 Speaker 3: that award. And you've also got the governor who's been 18 00:00:57,120 --> 00:01:01,959 Speaker 3: making the rounds and talking about you know, year end 19 00:01:02,320 --> 00:01:03,240 Speaker 3: kind of. 20 00:01:02,600 --> 00:01:03,680 Speaker 1: The look back. 21 00:01:03,840 --> 00:01:05,679 Speaker 4: Well, he did his version of what Trump did the 22 00:01:05,720 --> 00:01:08,640 Speaker 4: other day, and then did all the wins that the 23 00:01:08,640 --> 00:01:10,880 Speaker 4: governor has had so far in twenty twenty. 24 00:01:10,640 --> 00:01:13,120 Speaker 1: Five, going forward. 25 00:01:13,280 --> 00:01:16,800 Speaker 3: He has suggested using a referendum to decide on the 26 00:01:16,920 --> 00:01:23,040 Speaker 3: possible new or relocated casino in Allen County. He has 27 00:01:23,160 --> 00:01:26,240 Speaker 3: expressed that he's got hope that funding for daycare vouchers 28 00:01:26,240 --> 00:01:30,120 Speaker 3: could be restored. And also he's been talking about data 29 00:01:30,200 --> 00:01:34,240 Speaker 3: centers and energy a lot of You've got Google's new 30 00:01:34,280 --> 00:01:38,080 Speaker 3: Fort Wayne data center now operational, and he has been 31 00:01:38,120 --> 00:01:41,760 Speaker 3: discussing the need for new electrical generators to meet the 32 00:01:41,760 --> 00:01:46,560 Speaker 3: growing energy demand from data centers across the state. He's 33 00:01:46,680 --> 00:01:50,800 Speaker 3: also been asked a lot of questions about the fallout 34 00:01:51,000 --> 00:01:55,680 Speaker 3: from redistricting, and he was on with Hammer and Nigel 35 00:01:55,800 --> 00:01:59,480 Speaker 3: yesterday and they were asking him a lot of different things, 36 00:02:00,080 --> 00:02:04,920 Speaker 3: and they began on the redissearching conversation and he said 37 00:02:04,960 --> 00:02:07,800 Speaker 3: that senators were out of kilter with the House. 38 00:02:08,800 --> 00:02:12,920 Speaker 5: Two conversations with the president VP had come in twice. 39 00:02:13,680 --> 00:02:16,480 Speaker 5: We felt it was and we know it is through polling. 40 00:02:16,520 --> 00:02:19,720 Speaker 5: Eighty percent of Republicans and Conservatives at that point in 41 00:02:19,760 --> 00:02:23,640 Speaker 5: time were for it. The loud voices against it because 42 00:02:23,639 --> 00:02:27,280 Speaker 5: you had to craft it with ten Democrats to get 43 00:02:27,280 --> 00:02:29,760 Speaker 5: it across the finish line. You know, It's one of 44 00:02:29,800 --> 00:02:31,960 Speaker 5: those things. I think they were out of kilter with 45 00:02:32,760 --> 00:02:38,440 Speaker 5: the House, the Congressional Delegation, our office, the White House, 46 00:02:38,480 --> 00:02:42,960 Speaker 5: and the VP, and large majority of Republicans in the state. 47 00:02:43,160 --> 00:02:46,480 Speaker 5: So they dug in on it, decided to make that 48 00:02:46,560 --> 00:02:50,680 Speaker 5: an issue that they deal with any consequences. But you know, 49 00:02:50,760 --> 00:02:53,919 Speaker 5: I look at it similar I think I used this 50 00:02:54,120 --> 00:02:57,360 Speaker 5: analogy when I ran for governor. That was a rowdy 51 00:02:57,880 --> 00:03:01,480 Speaker 5: primary where you know, ideally we would have gotten closer 52 00:03:01,480 --> 00:03:03,720 Speaker 5: to fifty percent of the vote. We ended up with 53 00:03:03,800 --> 00:03:07,880 Speaker 5: farty and you got all the forces across the pick 54 00:03:07,919 --> 00:03:10,480 Speaker 5: a side to be on. Well, we won with a 55 00:03:10,560 --> 00:03:15,799 Speaker 5: record margin, and no one issue ever defines what you're 56 00:03:15,800 --> 00:03:18,320 Speaker 5: going through. Of course, there that was property taxes and 57 00:03:18,360 --> 00:03:21,520 Speaker 5: a host of others that made that one up. That 58 00:03:21,639 --> 00:03:25,120 Speaker 5: was mostly about different camps within the Republican Party. 59 00:03:26,200 --> 00:03:29,000 Speaker 3: Yeah, they asked him about about the property tax bill 60 00:03:29,040 --> 00:03:31,280 Speaker 3: in just a minute, But let's continue on with the 61 00:03:31,320 --> 00:03:34,840 Speaker 3: conversation about redistricting. Of course, you had twenty one Republican 62 00:03:34,960 --> 00:03:37,800 Speaker 3: senators opposing the plan. 63 00:03:38,280 --> 00:03:39,880 Speaker 1: He pledged that he would help. 64 00:03:39,760 --> 00:03:43,720 Speaker 3: Donald Trump primary those who opposed it, and then five 65 00:03:43,800 --> 00:03:47,400 Speaker 3: days later changed his tune and said he was noncommittal about. 66 00:03:47,240 --> 00:03:49,160 Speaker 4: That, and he even mentioned in there that you need 67 00:03:49,160 --> 00:03:51,600 Speaker 4: to have to work with the ten Democrat senators to 68 00:03:51,640 --> 00:03:54,440 Speaker 4: get the redistricting pass. No, you didn't need to do that. 69 00:03:54,480 --> 00:03:57,280 Speaker 4: You've got a super majority in both houses. Certainly in 70 00:03:57,320 --> 00:04:01,280 Speaker 4: the Senate. You couldn't even get the majority of Republicans 71 00:04:01,880 --> 00:04:05,440 Speaker 4: in the Senate to vote for redistricting. The Democrats were 72 00:04:05,480 --> 00:04:07,080 Speaker 4: irrelevant in the whole conversation. 73 00:04:07,680 --> 00:04:10,640 Speaker 3: So despite the split, he said that he expects no 74 00:04:10,720 --> 00:04:13,240 Speaker 3: problem working with the legislature. 75 00:04:12,600 --> 00:04:14,720 Speaker 1: When it reconvenes and moving forward. 76 00:04:14,760 --> 00:04:17,640 Speaker 3: But here he talks about his impression of why the 77 00:04:17,680 --> 00:04:20,960 Speaker 3: twenty one Republicans voted no on redistricting. 78 00:04:21,640 --> 00:04:26,120 Speaker 5: So here I go back again. Remember in the primary, 79 00:04:26,920 --> 00:04:31,120 Speaker 5: when it's a lot more at stake, there were sixty 80 00:04:31,160 --> 00:04:36,680 Speaker 5: percent of Republican primary voters that Suzanne Crouch got the 81 00:04:36,720 --> 00:04:41,200 Speaker 5: second most votes at twenty two percent. The two that 82 00:04:41,320 --> 00:04:46,159 Speaker 5: spent the most money had different factions backing them. Crouch 83 00:04:46,279 --> 00:04:50,120 Speaker 5: Representative Designs, Will Right Crouch. No, Crouch was a lieutenant 84 00:04:50,160 --> 00:04:51,880 Speaker 5: government lieutenant governor. 85 00:04:51,480 --> 00:04:52,719 Speaker 6: I'm sorry, I'm. 86 00:04:52,560 --> 00:04:56,920 Speaker 5: Comparing it again to a much bigger scuffle that took 87 00:04:56,960 --> 00:05:00,960 Speaker 5: place over many, many months. Yes, and when everybody comes 88 00:05:01,000 --> 00:05:05,200 Speaker 5: together eventually, because then it becomes a binary discussion, would 89 00:05:05,240 --> 00:05:06,240 Speaker 5: you actually want. 90 00:05:06,040 --> 00:05:07,679 Speaker 2: A Democrat in there? 91 00:05:08,040 --> 00:05:11,680 Speaker 5: Who Now they say we back all the policies of 92 00:05:11,800 --> 00:05:16,400 Speaker 5: the National Party. Obviously that's not going to resonate in Indiana. 93 00:05:16,760 --> 00:05:19,800 Speaker 5: But when you needed them to get you across the 94 00:05:19,800 --> 00:05:23,800 Speaker 5: finish line on this vote, that's never happened before. So 95 00:05:23,920 --> 00:05:28,320 Speaker 5: I think Chris Garden having trouble explaining it. You know, 96 00:05:28,360 --> 00:05:33,120 Speaker 5: I've been through several tough rodeos running for Senate. Of course, 97 00:05:33,400 --> 00:05:36,719 Speaker 5: in the Senate, remember if you wanted to be successful there, 98 00:05:36,800 --> 00:05:42,400 Speaker 5: you had to get along with ideologically opposed legislators. Yes, 99 00:05:42,600 --> 00:05:44,760 Speaker 5: we ended up being the Senate office that did that 100 00:05:44,880 --> 00:05:47,000 Speaker 5: the best in just one term. 101 00:05:47,120 --> 00:05:51,720 Speaker 1: On getting he's bringing up his role in the federal government, right. 102 00:05:51,680 --> 00:05:54,800 Speaker 4: He's talking about what he was in the US Senate, correct, 103 00:05:54,839 --> 00:05:57,960 Speaker 4: trying to make the analogy here to the state level. 104 00:05:58,640 --> 00:06:02,440 Speaker 3: And then you've got the back and forth between the 105 00:06:02,640 --> 00:06:07,040 Speaker 3: governor and the lieutenant governor. The lieutenant governor was insisting 106 00:06:07,080 --> 00:06:11,360 Speaker 3: that the White House warned about potential funding consequences. He 107 00:06:11,440 --> 00:06:15,080 Speaker 3: was citing conversations with lawmakers and officials, and then he 108 00:06:15,320 --> 00:06:20,799 Speaker 3: deleted the posts. And then you had the governor saying, 109 00:06:20,880 --> 00:06:24,360 Speaker 3: you know, the Trump administration never threatened to cut federal 110 00:06:24,400 --> 00:06:28,159 Speaker 3: funding over Indiana's failure to approve these new congressional maps. 111 00:06:28,680 --> 00:06:30,560 Speaker 1: That was all just fake news. 112 00:06:31,240 --> 00:06:35,560 Speaker 3: Well, Hammer and Nigel asked, did the lieutenant governor lie 113 00:06:35,800 --> 00:06:38,120 Speaker 3: about Trump with holding funds from Indiana? 114 00:06:38,480 --> 00:06:40,840 Speaker 5: He did not, but he based it upon things he 115 00:06:40,960 --> 00:06:43,880 Speaker 5: was hearing, Okay, And I think the guy's name was 116 00:06:43,960 --> 00:06:47,200 Speaker 5: Davis Engel, and it made him in State Affairs that 117 00:06:47,800 --> 00:06:50,960 Speaker 5: had that quote from the White House that no, that 118 00:06:51,080 --> 00:06:52,200 Speaker 5: wasn't happening. 119 00:06:51,800 --> 00:06:54,560 Speaker 6: But there were other groups putting it out there. 120 00:06:54,600 --> 00:06:58,560 Speaker 5: So if you extrapolate and your fingers are faster than 121 00:06:58,600 --> 00:06:59,599 Speaker 5: maybe thinking. 122 00:06:59,320 --> 00:07:01,760 Speaker 6: It through, you're good stuff out there. 123 00:07:01,800 --> 00:07:05,279 Speaker 5: And I think he deleted that because when he looked 124 00:07:05,279 --> 00:07:08,080 Speaker 5: to see if that was coming from a credible source, 125 00:07:08,640 --> 00:07:09,200 Speaker 5: it wasn't. 126 00:07:09,600 --> 00:07:13,800 Speaker 7: Have you had any conversations with your staff, eolitidate, governor 127 00:07:13,960 --> 00:07:17,040 Speaker 7: or others about maybe pump the brakes a little bit 128 00:07:17,080 --> 00:07:19,880 Speaker 7: on being so fast to put things out on social media. 129 00:07:19,960 --> 00:07:23,800 Speaker 5: I've had that discussion on other issues, and I think 130 00:07:23,960 --> 00:07:27,480 Speaker 5: this one got so heightened in terms of the passion 131 00:07:27,600 --> 00:07:30,520 Speaker 5: and when it looked like they were digging in to 132 00:07:30,600 --> 00:07:33,280 Speaker 5: die on that hill, you know that, I think is 133 00:07:33,320 --> 00:07:37,960 Speaker 5: what evokes it, but there's been no conversation in the 134 00:07:38,000 --> 00:07:40,600 Speaker 5: most important way between the White House and my office 135 00:07:40,640 --> 00:07:40,960 Speaker 5: on that. 136 00:07:41,160 --> 00:07:44,720 Speaker 3: So he emphasized that there was no explicit quid pro 137 00:07:44,880 --> 00:07:48,040 Speaker 3: quo and says that any impacts on federal partnerships will 138 00:07:48,080 --> 00:07:49,160 Speaker 3: be seen over time. 139 00:07:50,000 --> 00:07:52,720 Speaker 1: But I think this does highlight that there. 140 00:07:52,640 --> 00:07:59,640 Speaker 3: Are continuing internal tensions within the Republican Party here in Indiana. 141 00:08:00,160 --> 00:08:03,440 Speaker 3: And Nigel went on to ask him about his relationship 142 00:08:03,760 --> 00:08:05,080 Speaker 3: with the lieutenant governor. 143 00:08:06,280 --> 00:08:08,200 Speaker 1: How is your relationship with the lieutenant governor. 144 00:08:08,280 --> 00:08:12,880 Speaker 5: I'd say it's good. And however, I've told him and 145 00:08:12,920 --> 00:08:16,400 Speaker 5: told you this on this show. Don't make headlines for 146 00:08:16,440 --> 00:08:19,120 Speaker 5: the wrong reason, and a lot of times if you 147 00:08:19,240 --> 00:08:22,440 Speaker 5: are getting out there where you haven't thought it through. 148 00:08:23,240 --> 00:08:27,480 Speaker 5: But Micah is a defender of conservatives. I mean, he 149 00:08:27,600 --> 00:08:30,560 Speaker 5: is out there talking about principles that I think really 150 00:08:30,800 --> 00:08:34,360 Speaker 5: reflect our state a lot more than what the Democrats 151 00:08:34,400 --> 00:08:37,160 Speaker 5: do for sure, and I think that is where. 152 00:08:36,960 --> 00:08:39,560 Speaker 6: Our state Senate didn't think it through. 153 00:08:39,880 --> 00:08:41,880 Speaker 2: But I know he wasn't your first choice. 154 00:08:41,880 --> 00:08:43,439 Speaker 6: He wasn't your choice at all to. 155 00:08:43,400 --> 00:08:46,800 Speaker 5: Be the one best because I wanted somebody with legislative experience. 156 00:08:46,920 --> 00:08:49,720 Speaker 5: Julie Maguire was a fighter, and she knew a lot 157 00:08:49,760 --> 00:08:54,400 Speaker 5: about health insurance, hospital costs and was willing to do 158 00:08:54,480 --> 00:08:56,520 Speaker 5: some things that would be pushing the envelope. 159 00:08:56,840 --> 00:08:58,240 Speaker 6: That was the reason there is. 160 00:08:58,200 --> 00:09:01,600 Speaker 4: There's somebody trying to change the law there about what 161 00:09:01,800 --> 00:09:05,840 Speaker 4: the Indiana governor, who you want as your running meet. 162 00:09:06,080 --> 00:09:07,480 Speaker 2: There's somebody who's trying to change that. 163 00:09:07,679 --> 00:09:09,800 Speaker 5: Somebody's got a bill out there to where you'd do 164 00:09:10,080 --> 00:09:13,120 Speaker 5: with it what they did with the superintendent of schools, 165 00:09:13,600 --> 00:09:19,320 Speaker 5: and probably that would be better. But Micah earned it 166 00:09:19,640 --> 00:09:22,760 Speaker 5: with the current session or a convention. Your elegance, and 167 00:09:22,800 --> 00:09:26,679 Speaker 5: when it comes down to who is probably promoting the 168 00:09:26,720 --> 00:09:31,319 Speaker 5: principles of conservatism, he is. Sometimes you got to be 169 00:09:31,400 --> 00:09:34,640 Speaker 5: careful on the other parts that go with it, like 170 00:09:35,040 --> 00:09:37,679 Speaker 5: how you interact with social media and all that stuff. 171 00:09:38,160 --> 00:09:39,520 Speaker 5: He's young, he'll learn. 172 00:09:39,840 --> 00:09:42,280 Speaker 3: I find it very interesting that now you have the 173 00:09:42,400 --> 00:09:46,440 Speaker 3: governor in the position to defend his lieutenant governor. They're 174 00:09:46,480 --> 00:09:52,200 Speaker 3: asking about the relationship and they had this seemingly public 175 00:09:52,400 --> 00:09:56,160 Speaker 3: disagreement on the messaging that they were putting out there, 176 00:09:56,720 --> 00:10:01,520 Speaker 3: and now the governor is saying, well, he's young, he's learning. 177 00:10:02,160 --> 00:10:07,000 Speaker 3: That's OTJT right on the job training. I'm sorry, taxpayers. 178 00:10:06,320 --> 00:10:09,000 Speaker 1: Are not paying you to learn while you're on the job. 179 00:10:09,080 --> 00:10:12,680 Speaker 3: You were elected to already have insight and to lead 180 00:10:12,960 --> 00:10:16,319 Speaker 3: when you were in there. And again he's repeating, don't 181 00:10:16,360 --> 00:10:19,400 Speaker 3: make headlines for the wrong reason. Finally, they of course 182 00:10:19,760 --> 00:10:22,520 Speaker 3: asked him about the property tax bill and if he 183 00:10:22,640 --> 00:10:25,280 Speaker 3: thought it was a win, and he says that he 184 00:10:25,320 --> 00:10:27,000 Speaker 3: wants to build upon it. 185 00:10:27,679 --> 00:10:32,440 Speaker 5: So having enough experience of how you got legislation through 186 00:10:32,480 --> 00:10:35,959 Speaker 5: in the Big House for six years, I knew how 187 00:10:36,000 --> 00:10:39,800 Speaker 5: hard that was. Here, think about what the Senate did again. 188 00:10:40,320 --> 00:10:44,359 Speaker 5: They give you Senate Bill one, which was a reset. 189 00:10:45,120 --> 00:10:48,840 Speaker 5: We probably weren't going to get that because the Senate 190 00:10:48,880 --> 00:10:52,199 Speaker 5: would have never voted for it. On the other hand, 191 00:10:52,240 --> 00:10:55,880 Speaker 5: they gutted the bill and had to be completely rebuilt 192 00:10:56,200 --> 00:11:00,640 Speaker 5: in the House of Representatives and Jeff thoms and did that, 193 00:11:01,280 --> 00:11:05,480 Speaker 5: and it barely passed the Senate because so many things 194 00:11:05,520 --> 00:11:08,280 Speaker 5: die there and it's a wet blanket and fall. 195 00:11:08,360 --> 00:11:10,480 Speaker 7: Why are so many things die in the Senate that 196 00:11:10,640 --> 00:11:11,640 Speaker 7: we want governor? 197 00:11:11,640 --> 00:11:15,320 Speaker 5: Because I think they're footdraggers and they don't think big 198 00:11:15,400 --> 00:11:17,400 Speaker 5: enough in terms of what you can do with a 199 00:11:17,440 --> 00:11:21,120 Speaker 5: super majority. And then they go back to being genteel 200 00:11:21,880 --> 00:11:25,960 Speaker 5: and maybe the way the old Republican Party used to be, 201 00:11:26,040 --> 00:11:29,600 Speaker 5: and we've got vestiges of that sixty percent of it. 202 00:11:30,040 --> 00:11:32,839 Speaker 5: Ten percent of that margin were people to the right 203 00:11:32,920 --> 00:11:36,200 Speaker 5: of me that wanted more on property taxes but weren't 204 00:11:36,200 --> 00:11:38,800 Speaker 5: in on the discussions in terms of how we weren't 205 00:11:38,800 --> 00:11:39,840 Speaker 5: going to get rid of them. 206 00:11:40,120 --> 00:11:40,719 Speaker 6: We weren't going. 207 00:11:40,720 --> 00:11:44,640 Speaker 5: To get what we proposed, because that was clear with 208 00:11:44,679 --> 00:11:45,600 Speaker 5: what the Senate did. 209 00:11:46,080 --> 00:11:47,600 Speaker 6: So I go back to I think that. 210 00:11:47,520 --> 00:11:49,800 Speaker 3: He says that there was ten percent who weren't in 211 00:11:49,880 --> 00:11:51,000 Speaker 3: on the discussions. 212 00:11:51,160 --> 00:11:54,559 Speaker 1: Isn't that his job to bring them in on the discussions. 213 00:11:54,600 --> 00:11:56,720 Speaker 4: Yeah, clearly, it's his job to bring bring them in 214 00:11:56,760 --> 00:11:59,200 Speaker 4: on the discussions. You know, Mike Brawn, the governor, has 215 00:11:59,200 --> 00:12:02,040 Speaker 4: spent the entire conversation with Himmer and Nigel talking about 216 00:12:02,040 --> 00:12:05,319 Speaker 4: how everybody else screwed up and not taking any accountability 217 00:12:05,360 --> 00:12:07,440 Speaker 4: to it for himself. Let you know, he talked about, 218 00:12:07,600 --> 00:12:10,400 Speaker 4: you know, being careful on social media and deleting tweets. 219 00:12:10,480 --> 00:12:12,880 Speaker 4: Let's keep in mind here, Mike Broun's been you know, 220 00:12:13,320 --> 00:12:14,960 Speaker 4: has had that happen to him. When the whole Mark 221 00:12:15,040 --> 00:12:18,079 Speaker 4: Sanchez thing went down, and Mike Braun pushed out a 222 00:12:18,200 --> 00:12:21,440 Speaker 4: narrative around that incident that turned out to not be true. 223 00:12:21,559 --> 00:12:23,840 Speaker 2: He ended up having to delete a tweet himself. So 224 00:12:24,280 --> 00:12:25,240 Speaker 2: he's not the only one. 225 00:12:25,280 --> 00:12:27,320 Speaker 4: He's not the only one, and he's certainly not the 226 00:12:27,480 --> 00:12:31,360 Speaker 4: expert in communications that you know, he might think he 227 00:12:31,480 --> 00:12:33,320 Speaker 4: is while he's chastising everybody else. 228 00:12:33,480 --> 00:12:36,600 Speaker 1: It is the Kennelly Casey Show. It's ninety three WYBC. 229 00:12:41,480 --> 00:12:43,600 Speaker 3: This is something that that's been going on for quite 230 00:12:43,640 --> 00:12:49,200 Speaker 3: a while, TikTok signing a deal for the US with 231 00:12:49,280 --> 00:12:52,199 Speaker 3: the US to keep it from going away. 232 00:12:52,440 --> 00:12:53,839 Speaker 2: It we're coming about a year now. 233 00:12:53,880 --> 00:12:56,680 Speaker 4: I this whole band TikTok thing has been going around 234 00:12:56,760 --> 00:12:59,080 Speaker 4: and it's been a will they won't they? And finally 235 00:12:59,080 --> 00:13:01,000 Speaker 4: got a little bit more move of mcdonn it recently. 236 00:13:01,520 --> 00:13:04,160 Speaker 3: So this was what putting to bed years of pressure 237 00:13:04,200 --> 00:13:08,120 Speaker 3: over national security concerns. I never bought that to begin with, 238 00:13:08,320 --> 00:13:12,040 Speaker 3: when they were saying national security concerns. When you've got 239 00:13:12,040 --> 00:13:14,679 Speaker 3: the White House that has a TikTok account, If it's 240 00:13:14,679 --> 00:13:17,480 Speaker 3: such a big concern, why does the White House have 241 00:13:17,480 --> 00:13:18,040 Speaker 3: an account? 242 00:13:18,600 --> 00:13:20,959 Speaker 4: Hard to believe that politicians were just you know, putting 243 00:13:20,960 --> 00:13:22,120 Speaker 4: their finger up to the wind. 244 00:13:22,160 --> 00:13:23,520 Speaker 2: And going whichever way it blows. 245 00:13:23,520 --> 00:13:25,960 Speaker 4: At one point in time to Donald Trump was all 246 00:13:26,000 --> 00:13:28,160 Speaker 4: for banning TikTok and then in a matter of a 247 00:13:28,200 --> 00:13:30,760 Speaker 4: couple of months completely flipped and wanted to save it 248 00:13:30,800 --> 00:13:33,360 Speaker 4: and keep it right because if it was it was 249 00:13:33,360 --> 00:13:35,480 Speaker 4: starting to benefit him, right, if it could. 250 00:13:35,280 --> 00:13:38,160 Speaker 1: Win me some votes, that I'm going to change my tune. 251 00:13:38,559 --> 00:13:42,319 Speaker 3: So the deal is set to close on January twenty second, 252 00:13:42,600 --> 00:13:45,959 Speaker 3: and let's talk about the ownership breakdown. And this may 253 00:13:46,000 --> 00:13:50,080 Speaker 3: be just as scary. Oracle Silver Lake and an Abu 254 00:13:50,160 --> 00:13:53,440 Speaker 3: Dhabi based MGX are going to hold forty five percent 255 00:13:53,480 --> 00:13:57,360 Speaker 3: of it and Bite Dance affiliates nearly thirty percent, and 256 00:13:57,400 --> 00:14:01,760 Speaker 3: then Bite Dance itself will have So it's going to 257 00:14:01,760 --> 00:14:04,559 Speaker 3: be an entirely new US entity. 258 00:14:04,720 --> 00:14:06,439 Speaker 1: It's a joint venture LLC. 259 00:14:06,960 --> 00:14:09,040 Speaker 4: Yeah, and this is part of you know, the name 260 00:14:09,120 --> 00:14:12,240 Speaker 4: to keep in mind here in this is Larry Ellison, 261 00:14:12,280 --> 00:14:13,440 Speaker 4: who heads up Oracle. 262 00:14:13,880 --> 00:14:14,280 Speaker 2: Oracle. 263 00:14:14,360 --> 00:14:17,000 Speaker 4: Oracle now is going to own a significant chunk of TikTok. 264 00:14:17,640 --> 00:14:20,440 Speaker 2: Larry Ellison and Oracle's affiliates. 265 00:14:19,960 --> 00:14:21,360 Speaker 1: He's going to own a chunk of everything. 266 00:14:21,480 --> 00:14:26,479 Speaker 4: Yeah, Sky Dance have have made purchases and a purchased paramount, 267 00:14:26,520 --> 00:14:29,080 Speaker 4: and so they own that media entity, and they're in 268 00:14:29,120 --> 00:14:32,400 Speaker 4: the process of trying to purchase all of Warner Brothers 269 00:14:32,440 --> 00:14:38,520 Speaker 4: cable channels, which include CNN. So Larry Ellison is throwing 270 00:14:38,560 --> 00:14:41,920 Speaker 4: an incredible amount of weight and money behind trying to 271 00:14:41,960 --> 00:14:45,360 Speaker 4: acquire as many media entities as he can and as 272 00:14:45,440 --> 00:14:47,720 Speaker 4: quickly as he can, and he'll be now one of 273 00:14:47,720 --> 00:14:50,880 Speaker 4: the major investors in what will be the new ownership 274 00:14:50,880 --> 00:14:51,880 Speaker 4: structure of TikTok. 275 00:14:52,120 --> 00:14:55,080 Speaker 3: So isn't part of that Warner brother Steel Discovery and 276 00:14:55,160 --> 00:14:56,440 Speaker 3: also HGTV. 277 00:14:56,800 --> 00:14:59,480 Speaker 4: Well, you know, none of these deals are finalized, and 278 00:14:59,520 --> 00:15:02,120 Speaker 4: it seems like they keep changing every single day. But yes, 279 00:15:02,480 --> 00:15:04,760 Speaker 4: the plan is now is that Warner Brothers is selling 280 00:15:04,800 --> 00:15:09,000 Speaker 4: their movie studios and their library to Netflix. They'll sell 281 00:15:09,040 --> 00:15:11,520 Speaker 4: their cable channels to somebody else. And yes, the cable 282 00:15:11,560 --> 00:15:15,960 Speaker 4: channels include HBO, Discovery Channel, CNN, and some others. 283 00:15:16,400 --> 00:15:20,640 Speaker 3: So this is going to have US data protection, algorithm, security, 284 00:15:20,680 --> 00:15:23,600 Speaker 3: content moderation, content moderation. 285 00:15:24,480 --> 00:15:26,240 Speaker 1: You can read that however you'd like. 286 00:15:26,680 --> 00:15:30,600 Speaker 3: And also the software Assurance Oracle is going to serve 287 00:15:30,640 --> 00:15:33,400 Speaker 3: as the trusted security partner. 288 00:15:33,960 --> 00:15:36,960 Speaker 4: I'm in assuming that means from an IT perspective, look 289 00:15:37,000 --> 00:15:38,320 Speaker 4: all I want to know, Can I still get my 290 00:15:38,360 --> 00:15:39,360 Speaker 4: funny cat videos? 291 00:15:39,680 --> 00:15:41,560 Speaker 2: Is that gonna have? Can I still get that on TikTok? 292 00:15:41,680 --> 00:15:41,920 Speaker 1: Yeah? 293 00:15:41,960 --> 00:15:46,040 Speaker 3: Okay, probably unless there's some content moderation going on and 294 00:15:46,080 --> 00:15:50,280 Speaker 3: all of a sudden, funny cat videos are national security concern. 295 00:15:50,880 --> 00:15:56,280 Speaker 3: TikTok is valued at roughly fourteen billion dollars. 296 00:15:55,680 --> 00:15:58,800 Speaker 4: That's not nothing, not nothing by a long shot. Seems 297 00:15:58,800 --> 00:16:01,440 Speaker 4: actually a little light. You know, it was forty four 298 00:16:01,440 --> 00:16:04,440 Speaker 4: billion dollars that Elon Musk paid for Twitter. Seems like 299 00:16:04,680 --> 00:16:06,880 Speaker 4: TikTok is at least as big as Twitter right now, 300 00:16:06,920 --> 00:16:10,600 Speaker 4: and fourteen billion seems a little light. But their finances 301 00:16:10,640 --> 00:16:12,040 Speaker 4: may not be as strong as Twitter's were. 302 00:16:12,320 --> 00:16:14,880 Speaker 3: There was a twenty five year old Swedish study that 303 00:16:15,080 --> 00:16:18,440 Speaker 3: was done and it says nearly twenty eight thousand people 304 00:16:18,520 --> 00:16:23,360 Speaker 3: found that the people who eat high fat cheese regularly, yes, 305 00:16:23,520 --> 00:16:25,840 Speaker 3: high fat cream, they have a. 306 00:16:25,840 --> 00:16:27,480 Speaker 1: Lower risk of dementia. 307 00:16:27,760 --> 00:16:33,680 Speaker 3: Yes, now you've got scientific facts to back up the 308 00:16:33,760 --> 00:16:35,480 Speaker 3: reason why you need to eat more cheese. 309 00:16:35,560 --> 00:16:37,120 Speaker 2: Cheese is healthy for you. 310 00:16:37,160 --> 00:16:41,479 Speaker 4: Look, do we have an entire drawer in our refrigerator 311 00:16:41,960 --> 00:16:42,800 Speaker 4: full of cheese? 312 00:16:42,920 --> 00:16:43,240 Speaker 2: Yes? 313 00:16:43,360 --> 00:16:43,680 Speaker 6: Cheese? 314 00:16:43,760 --> 00:16:48,000 Speaker 4: Is that cheese drawer overflowing on a regular basis. 315 00:16:48,360 --> 00:16:48,600 Speaker 2: Yes. 316 00:16:48,920 --> 00:16:50,960 Speaker 4: So the fact that this report came out and said 317 00:16:50,960 --> 00:16:53,720 Speaker 4: that eating high fat cheeses is good for you, that's 318 00:16:53,760 --> 00:16:54,560 Speaker 4: fantastic news. 319 00:16:54,560 --> 00:16:55,880 Speaker 1: You were and light to go ahead and eat a 320 00:16:55,880 --> 00:16:56,840 Speaker 1: big block of cheese. 321 00:16:56,920 --> 00:16:57,880 Speaker 2: Man, it is good. 322 00:16:57,960 --> 00:17:00,880 Speaker 4: It's I mean, there's just nothing wrong with cheese, and 323 00:17:00,920 --> 00:17:01,880 Speaker 4: now it's good for you. 324 00:17:02,480 --> 00:17:03,400 Speaker 2: Yeah, double dose. 325 00:17:03,520 --> 00:17:05,440 Speaker 3: Yeah, so when you eat that big block of cheese, 326 00:17:05,600 --> 00:17:07,200 Speaker 3: I can say, I'm not even. 327 00:17:07,080 --> 00:17:08,480 Speaker 2: Mad, not even mad. 328 00:17:08,520 --> 00:17:12,360 Speaker 4: It's like that Seinfeld episode Press where George equates freedom 329 00:17:12,400 --> 00:17:14,240 Speaker 4: to eating a huge block of cheese. It was the 330 00:17:14,280 --> 00:17:16,800 Speaker 4: summer of George where he was sitting in his underwear 331 00:17:16,800 --> 00:17:19,879 Speaker 4: on his lazy boy watching TV and literally eating a 332 00:17:19,880 --> 00:17:23,800 Speaker 4: massive block of cheddar. George Costanzo was way out in front. 333 00:17:23,840 --> 00:17:25,920 Speaker 4: He was an early adopter. He knew the whole time. 334 00:17:25,960 --> 00:17:27,280 Speaker 4: Now the science backs it up. 335 00:17:27,359 --> 00:17:29,800 Speaker 3: Yeah, high fat cheese, high fat cream will lower your 336 00:17:29,880 --> 00:17:35,160 Speaker 3: risk of dementia, although experts recommend like anything, moderation. Now, 337 00:17:35,200 --> 00:17:38,840 Speaker 3: there was another scientific study that came out and it 338 00:17:39,000 --> 00:17:47,919 Speaker 3: shows that household clutter increases women's cortisol levels, the stress hormone. 339 00:17:49,400 --> 00:17:51,680 Speaker 2: They talk about what it does for men's stress hormones. 340 00:17:51,720 --> 00:17:55,440 Speaker 2: Cortisol levels. No, nothing, this is no change whatsoever. 341 00:17:55,840 --> 00:18:01,040 Speaker 3: Well, the men, men remain unaffected by clutter, So it's 342 00:18:01,080 --> 00:18:01,800 Speaker 3: all about the women. 343 00:18:02,280 --> 00:18:02,520 Speaker 2: Women. 344 00:18:03,720 --> 00:18:07,399 Speaker 4: Clutter stresses out women, and dudes are just like, no 345 00:18:07,440 --> 00:18:08,760 Speaker 4: big deal, I can live with it. 346 00:18:08,920 --> 00:18:14,359 Speaker 3: Yeah, this is giving women a disproportionate mental load. They're 347 00:18:14,400 --> 00:18:18,120 Speaker 3: constantly noticing clutter, They're constantly planning on how to get 348 00:18:18,200 --> 00:18:22,119 Speaker 3: rid of the clutter. They're constantly managing the household tasks 349 00:18:22,200 --> 00:18:28,040 Speaker 3: involving the clutter, and the clutter is making your woman sick. 350 00:18:28,240 --> 00:18:31,679 Speaker 4: No, the women have a disproportionate load. They put that 351 00:18:31,880 --> 00:18:33,000 Speaker 4: on themselves. 352 00:18:34,119 --> 00:18:38,680 Speaker 3: Maybe maybe guys should just pick up after themselves, get 353 00:18:38,800 --> 00:18:41,600 Speaker 3: rid of the clutter, and not wait for someone else 354 00:18:41,640 --> 00:18:42,680 Speaker 3: to do it all the time. 355 00:18:42,800 --> 00:18:45,760 Speaker 4: Maybe the clutter is just fine being clutter. Maybe it's 356 00:18:45,800 --> 00:18:48,520 Speaker 4: okay if things just stay clutter. 357 00:18:48,320 --> 00:18:49,840 Speaker 2: Things have their place. 358 00:18:50,440 --> 00:18:52,439 Speaker 1: Maybe you should put it away. 359 00:18:53,080 --> 00:18:55,320 Speaker 4: Maybe it's fine if it just sits out on the counter. 360 00:18:56,440 --> 00:18:58,200 Speaker 4: Maybe my jacket doesn't. 361 00:18:57,880 --> 00:19:00,840 Speaker 2: Need to be hung up, Maybe it does. I'm fine 362 00:19:00,880 --> 00:19:01,320 Speaker 2: either way. 363 00:19:01,520 --> 00:19:05,840 Speaker 3: Yeah, clearly, according to the scientific study, you are fine 364 00:19:05,880 --> 00:19:06,480 Speaker 3: either way. 365 00:19:06,920 --> 00:19:11,320 Speaker 1: But that jacket not being hung up is causing someone. 366 00:19:11,000 --> 00:19:13,600 Speaker 3: Else in your house a little bit of stress, a 367 00:19:13,640 --> 00:19:15,000 Speaker 3: little undue. 368 00:19:14,680 --> 00:19:18,240 Speaker 4: Stress that sounds like a you problem, not a meat problem. 369 00:19:18,600 --> 00:19:21,439 Speaker 4: I'm okay with it, and apparently all guys are okay 370 00:19:21,480 --> 00:19:21,760 Speaker 4: with it. 371 00:19:22,040 --> 00:19:25,439 Speaker 3: So there is a three step approach to manage clutter 372 00:19:25,520 --> 00:19:30,120 Speaker 3: and stress. One they call shedding, where you're just supposed 373 00:19:30,160 --> 00:19:32,960 Speaker 3: to reduce the amount of possessions that you have. 374 00:19:33,440 --> 00:19:37,800 Speaker 1: Next time, throwing the jacket away. Then where are you. 375 00:19:37,359 --> 00:19:40,720 Speaker 2: You're cold with no winter coat? No, then you're buying 376 00:19:40,760 --> 00:19:42,159 Speaker 2: me a new jacket. That's what it is. 377 00:19:42,320 --> 00:19:42,919 Speaker 1: Yeah. 378 00:19:42,960 --> 00:19:46,800 Speaker 3: The other one they say is preventing, create clear, consistent 379 00:19:46,960 --> 00:19:50,720 Speaker 3: homes for items, to make organizing automatic, like I said, 380 00:19:51,119 --> 00:19:55,520 Speaker 3: put it in its place, and finally adapting, you have 381 00:19:55,600 --> 00:19:58,080 Speaker 3: to oh no, this is oh no, you have to 382 00:19:58,119 --> 00:20:00,720 Speaker 3: accept that some clutter is there. 383 00:20:00,760 --> 00:20:03,680 Speaker 2: It is, thank you. I was just about to say, 384 00:20:03,760 --> 00:20:04,960 Speaker 2: this is the most. 385 00:20:04,600 --> 00:20:09,240 Speaker 4: Female thing I've ever seen, working themselves up over a situation, 386 00:20:09,600 --> 00:20:12,240 Speaker 4: then coming up with a list on how to manage 387 00:20:12,320 --> 00:20:15,760 Speaker 4: that stress associated with the situation, and then the final 388 00:20:15,840 --> 00:20:18,080 Speaker 4: recommendation is it's not so big a deal. 389 00:20:18,680 --> 00:20:19,520 Speaker 2: Is not so big a. 390 00:20:19,480 --> 00:20:23,479 Speaker 4: Deal, which is where the guys sit on this issue 391 00:20:23,520 --> 00:20:25,880 Speaker 4: to start with. Yet the women had to go through 392 00:20:25,880 --> 00:20:28,880 Speaker 4: this entire circle of stress and how do we fix 393 00:20:28,920 --> 00:20:31,080 Speaker 4: the stress? And at the end of it, it's eh, 394 00:20:31,160 --> 00:20:33,080 Speaker 4: it's okay, don't worry about it, just let it go. 395 00:20:33,560 --> 00:20:35,080 Speaker 1: It is the Kennelly Casey Show. 396 00:20:35,119 --> 00:20:38,680 Speaker 3: It's ninety three WIBC over Bell. 397 00:20:39,160 --> 00:20:48,840 Speaker 8: The best over Bell, It's Christmas time in the city. 398 00:20:49,640 --> 00:20:51,000 Speaker 1: I just proceed to text. 399 00:20:51,880 --> 00:20:54,560 Speaker 3: It says, the silence will cost you, Casey. 400 00:20:54,720 --> 00:20:59,240 Speaker 1: We will not ask again them. Complete your GOP voter profile. 401 00:20:59,280 --> 00:21:02,560 Speaker 3: The result of problem from the House GOP should I 402 00:21:02,560 --> 00:21:03,240 Speaker 3: click on it? 403 00:21:03,280 --> 00:21:05,600 Speaker 2: Is that the state House GOP. That's what I'm wondering 404 00:21:05,560 --> 00:21:07,080 Speaker 2: with the Federal House GOP. 405 00:21:07,680 --> 00:21:10,160 Speaker 1: Complete your House GOP voter. 406 00:21:09,960 --> 00:21:12,639 Speaker 4: Because normally you're getting text messages from Donald Trump. 407 00:21:12,720 --> 00:21:15,120 Speaker 1: Um hmmm, yeah, oh yeah. I still get those all the. 408 00:21:15,080 --> 00:21:18,560 Speaker 4: Time, talking about urgent funding needs for his campaign fund. 409 00:21:18,720 --> 00:21:23,200 Speaker 1: Right. The thing is this is is this real? There 410 00:21:23,320 --> 00:21:26,399 Speaker 1: is this spam? I don't know. I feel like my 411 00:21:26,680 --> 00:21:27,760 Speaker 1: uh well. 412 00:21:27,680 --> 00:21:29,679 Speaker 4: We did find out that Indiana is one of the 413 00:21:29,720 --> 00:21:32,320 Speaker 4: top states states in the country for spam calls. 414 00:21:32,880 --> 00:21:34,760 Speaker 2: Maybe spam texts are part of that as well. 415 00:21:35,040 --> 00:21:38,399 Speaker 3: Very nondescript. It just says the House GOP. You know 416 00:21:38,440 --> 00:21:42,120 Speaker 3: this because I still get stuff from Michigan sometimes I'm 417 00:21:42,160 --> 00:21:43,520 Speaker 3: wondering where did this come from. 418 00:21:43,720 --> 00:21:45,080 Speaker 2: You need to do a little bit better job of 419 00:21:45,440 --> 00:21:46,720 Speaker 2: like filling that out. 420 00:21:46,680 --> 00:21:50,480 Speaker 4: Marking those as junk or applying with stops so you 421 00:21:50,480 --> 00:21:51,520 Speaker 4: don't get those anymore. 422 00:21:52,000 --> 00:21:54,080 Speaker 1: Set That was probably spam. 423 00:21:54,480 --> 00:21:58,720 Speaker 3: So let's talk about Donald Trump's approval rating for today. 424 00:21:58,920 --> 00:22:01,159 Speaker 3: Every day there's a new poll that's coming out, and 425 00:22:01,200 --> 00:22:04,560 Speaker 3: this one is from Maris says just thirty six percent 426 00:22:04,600 --> 00:22:08,719 Speaker 3: of Americans approve of his handling of the of the economy. 427 00:22:09,160 --> 00:22:14,040 Speaker 3: It's his worst mark in sixteen years of this company's polling. 428 00:22:14,560 --> 00:22:19,280 Speaker 3: His overall job approval stands at thirty eight percent. Second lowest. 429 00:22:19,920 --> 00:22:24,600 Speaker 3: Let's see here, Top worry prices, affordability. Forty five percent 430 00:22:24,720 --> 00:22:30,320 Speaker 3: cited this is their biggest financial concern, with housing topping 431 00:22:30,359 --> 00:22:34,719 Speaker 3: the list. And he just said he just commented yesterday 432 00:22:35,320 --> 00:22:36,280 Speaker 3: about housing. 433 00:22:37,160 --> 00:22:40,200 Speaker 1: What did he say, Kevin, let's hear it or does he? 434 00:22:40,400 --> 00:22:40,800 Speaker 5: On housing? 435 00:22:40,960 --> 00:22:42,879 Speaker 4: You talked in your address last night about housing. 436 00:22:43,240 --> 00:22:45,840 Speaker 1: Are you still considering a national emergency over housing? 437 00:22:46,000 --> 00:22:47,359 Speaker 9: I'm looking at what would that mode? 438 00:22:47,400 --> 00:22:48,240 Speaker 6: Money? What would that mobile? 439 00:22:48,280 --> 00:22:51,399 Speaker 9: You don't have this two thoughts on housing? You have 440 00:22:51,440 --> 00:22:54,199 Speaker 9: a lot of people have housing that because we have 441 00:22:55,119 --> 00:22:57,600 Speaker 9: such a strong time and such a strong market there. 442 00:22:58,160 --> 00:23:00,560 Speaker 9: Houses are very valuable. It's a big part of their 443 00:23:01,800 --> 00:23:04,920 Speaker 9: net worth their house. I don't want to knock those 444 00:23:05,040 --> 00:23:08,199 Speaker 9: numbers down because I want them to continue to have 445 00:23:08,280 --> 00:23:10,040 Speaker 9: a big value. 446 00:23:09,640 --> 00:23:10,200 Speaker 6: For their house. 447 00:23:10,720 --> 00:23:13,639 Speaker 9: At the same time, I want to make it possible 448 00:23:13,760 --> 00:23:17,800 Speaker 9: for young people out there and other people to buy housing. 449 00:23:18,800 --> 00:23:21,320 Speaker 9: In a way, they're at conflict. In other words, you 450 00:23:21,400 --> 00:23:23,520 Speaker 9: create a lot of housing all of a sudden that 451 00:23:23,560 --> 00:23:26,440 Speaker 9: it drives the housing prices down. It So I want 452 00:23:26,480 --> 00:23:28,359 Speaker 9: to take care of the people that have houses that 453 00:23:28,440 --> 00:23:31,840 Speaker 9: have a value to the house that they never thought possible, 454 00:23:31,880 --> 00:23:36,120 Speaker 9: that have sort of made them wealthy and happy, and 455 00:23:36,200 --> 00:23:38,560 Speaker 9: you know, especially in their later years, got to be 456 00:23:38,600 --> 00:23:39,239 Speaker 9: careful with that. 457 00:23:39,320 --> 00:23:40,320 Speaker 2: I want to keep them up. 458 00:23:40,720 --> 00:23:43,120 Speaker 9: At the same time, I want to make it possible 459 00:23:43,160 --> 00:23:44,399 Speaker 9: for people to go buy houses. 460 00:23:46,119 --> 00:23:48,520 Speaker 3: How about all the big corporations that are buying up 461 00:23:48,560 --> 00:23:50,920 Speaker 3: the houses. Can can we do something about that? 462 00:23:51,320 --> 00:23:57,440 Speaker 4: You know, you can write some regulations related to that. 463 00:23:56,600 --> 00:24:01,120 Speaker 4: But it's certainly a very popular opinion want private equity 464 00:24:01,160 --> 00:24:04,280 Speaker 4: out of single family homes, and that would more than 465 00:24:04,440 --> 00:24:07,160 Speaker 4: likely help reduce the housing prices. But he's talking about 466 00:24:07,160 --> 00:24:10,520 Speaker 4: two things that are in opposition of each other. Keeping 467 00:24:10,560 --> 00:24:14,000 Speaker 4: housing prices high for those that currently own homes so 468 00:24:14,040 --> 00:24:16,320 Speaker 4: they can have as much equity as possible, but then 469 00:24:16,359 --> 00:24:20,159 Speaker 4: also bringing housing prices down for those that don't have 470 00:24:20,240 --> 00:24:23,000 Speaker 4: housing that want to buy and get into housing. It's 471 00:24:23,040 --> 00:24:26,199 Speaker 4: an impossible thing to balance those two. One's got to 472 00:24:26,200 --> 00:24:26,920 Speaker 4: give the. 473 00:24:26,880 --> 00:24:30,520 Speaker 3: Other top concerns of people. According to this pole, healthcare 474 00:24:30,560 --> 00:24:35,320 Speaker 3: worries fifty four percent of concern about affording needed services 475 00:24:35,359 --> 00:24:39,200 Speaker 3: in the next year, and that comes as healthcare costs 476 00:24:39,240 --> 00:24:42,640 Speaker 3: are going up. During open enrollment season, you're probably finding 477 00:24:42,680 --> 00:24:43,520 Speaker 3: that out as well. 478 00:24:44,040 --> 00:24:48,640 Speaker 1: So it's a big weekend. You've got what we find 479 00:24:48,640 --> 00:24:49,960 Speaker 1: out who Indiana is going to play? 480 00:24:50,640 --> 00:24:53,360 Speaker 2: How are we doing our sports weekend preview? 481 00:24:53,520 --> 00:24:54,199 Speaker 1: Yeah? Do it? 482 00:24:54,280 --> 00:24:57,600 Speaker 4: Okay, So here's the deal. There are forty three college 483 00:24:57,680 --> 00:24:59,840 Speaker 4: football bowl games. And I have said for years my 484 00:25:00,160 --> 00:25:03,720 Speaker 4: problem with college football bowl system not enough games, because 485 00:25:03,760 --> 00:25:06,960 Speaker 4: I'll watch anything like, for example, two thirty this afternoon, 486 00:25:07,000 --> 00:25:09,160 Speaker 4: Memphis State at North Carolina State. 487 00:25:09,240 --> 00:25:10,360 Speaker 2: I'd be all over that one. 488 00:25:10,720 --> 00:25:13,760 Speaker 4: The big game tonight is the very first college football 489 00:25:13,760 --> 00:25:17,040 Speaker 4: bowl game of the season, number nine Alabama at number 490 00:25:17,080 --> 00:25:22,320 Speaker 4: eight Oklahoma. The winner will take on your Indiana Hoosiers, 491 00:25:22,760 --> 00:25:27,240 Speaker 4: and then other big games tomorrow, three college football playoff games. 492 00:25:27,240 --> 00:25:29,399 Speaker 4: You've got Miami at Texas A and m TWU Lane 493 00:25:29,480 --> 00:25:32,679 Speaker 4: at Old Miss, and then James Madison at Oregon and 494 00:25:32,720 --> 00:25:35,119 Speaker 4: then a sneaky one. A lot of people don't realize 495 00:25:35,160 --> 00:25:37,720 Speaker 4: this got a Monday night bowl game coming up this week, 496 00:25:38,000 --> 00:25:39,120 Speaker 4: not one of the playoff games. 497 00:25:39,160 --> 00:25:41,600 Speaker 2: It's just Washington State at Utah. Let's move over to 498 00:25:41,600 --> 00:25:42,080 Speaker 2: the NFL. 499 00:25:42,160 --> 00:25:45,360 Speaker 1: I said, it's just Washington State to Utah. But to them, 500 00:25:45,560 --> 00:25:46,560 Speaker 1: that is the game. 501 00:25:46,640 --> 00:25:48,560 Speaker 4: That's the game, and to me, I love it. I'm 502 00:25:48,560 --> 00:25:50,320 Speaker 4: gonna be watching it. If there's a football game on, 503 00:25:50,359 --> 00:25:52,679 Speaker 4: I'm gonna turn it on. Let's move to the NFL again. 504 00:25:52,920 --> 00:25:57,120 Speaker 4: Some scheduling changes that may throw you off. The Chicago 505 00:25:57,160 --> 00:26:01,760 Speaker 4: Bears play tomorrow Saturday, so not a Sunday game. And 506 00:26:01,800 --> 00:26:04,240 Speaker 4: it's a big one, the biggest one every year. The 507 00:26:04,280 --> 00:26:08,880 Speaker 4: Green Bay Packers at the Chicago Bears eight twenty tomorrow night. 508 00:26:09,840 --> 00:26:12,480 Speaker 4: Make your plans now, because you know what I'll be doing. 509 00:26:12,520 --> 00:26:14,359 Speaker 4: I'll be watching it. You're more than welcome to join me. 510 00:26:14,560 --> 00:26:16,280 Speaker 4: You can make plans and to go do something else. 511 00:26:16,760 --> 00:26:20,600 Speaker 4: And then the other big game, Indianapolis Colts Monday Night Football. 512 00:26:20,680 --> 00:26:23,880 Speaker 4: This week right here at Lucas Oil Field in Indianapolis 513 00:26:23,920 --> 00:26:25,760 Speaker 4: as they take on the San Francisco forty nine. 514 00:26:25,920 --> 00:26:28,000 Speaker 1: Fantastic, Well you've gotten. 515 00:26:28,040 --> 00:26:31,320 Speaker 3: Between January first and December eighteenth of this year, over 516 00:26:31,440 --> 00:26:36,640 Speaker 3: seven hundred personalized license plate requests were denied in Indiana. 517 00:26:37,119 --> 00:26:41,480 Speaker 3: Denials were made for online slang, political statements, slurs, profanity, 518 00:26:41,520 --> 00:26:42,320 Speaker 3: and also drugs. 519 00:26:42,359 --> 00:26:43,440 Speaker 2: Are we going to go through some of these? 520 00:26:43,640 --> 00:26:44,680 Speaker 1: Well, you want to name something? 521 00:26:44,760 --> 00:26:45,520 Speaker 2: I love this list. 522 00:26:45,560 --> 00:26:48,479 Speaker 4: Every year they come out of the vanity plates that 523 00:26:48,520 --> 00:26:49,400 Speaker 4: people try and. 524 00:26:49,520 --> 00:26:51,760 Speaker 2: Sneak through the BMV that they reject. 525 00:26:52,560 --> 00:26:55,480 Speaker 4: Part car, That's my baby, my favorite, what's just rolls 526 00:26:55,560 --> 00:26:57,880 Speaker 4: right off the tongue park car was denied? 527 00:26:58,080 --> 00:27:02,040 Speaker 2: Part car hawk to Oh yeah, somebody tried putting that 528 00:27:02,080 --> 00:27:04,400 Speaker 2: one in poopy poopy poopy. 529 00:27:04,640 --> 00:27:06,920 Speaker 4: Just seems like you really didn't. It didn't put a 530 00:27:06,920 --> 00:27:09,440 Speaker 4: whole lot of thought into that one. Not very original. 531 00:27:09,760 --> 00:27:11,040 Speaker 4: This one I thought was interesting. 532 00:27:11,200 --> 00:27:11,720 Speaker 2: Nerds. 533 00:27:12,160 --> 00:27:15,280 Speaker 1: Nerds that's I. 534 00:27:15,200 --> 00:27:19,560 Speaker 4: Mean, I'm familiar with a similar word that refers. 535 00:27:19,080 --> 00:27:24,359 Speaker 2: To a as. 536 00:27:21,119 --> 00:27:23,600 Speaker 4: Something that I would think that the BMV would block. 537 00:27:23,680 --> 00:27:26,679 Speaker 4: But yeah, I guess nerds is inappropriate. So is IU 538 00:27:26,880 --> 00:27:29,680 Speaker 4: sucks spelled s u x Haha? 539 00:27:29,720 --> 00:27:32,119 Speaker 3: They didn't want that one go through. Somebody tried to 540 00:27:32,119 --> 00:27:33,840 Speaker 3: get a license plate that said Diddy. 541 00:27:34,640 --> 00:27:37,280 Speaker 4: That one's not available. I bet two three four years 542 00:27:37,280 --> 00:27:37,960 Speaker 4: ago you could. 543 00:27:37,760 --> 00:27:39,520 Speaker 2: Have gotten Ditty. Not now. 544 00:27:39,560 --> 00:27:47,240 Speaker 3: Also quelude, cocaine, snow four twenty, crack and shrooms. 545 00:27:47,680 --> 00:27:48,600 Speaker 1: We're all denied. 546 00:27:48,840 --> 00:27:51,680 Speaker 2: Batman AF also ruled out. 547 00:27:51,760 --> 00:27:54,120 Speaker 1: So UAF was ruled out. 548 00:27:54,520 --> 00:27:58,240 Speaker 2: Duck No, that one was taking. This one was interesting. 549 00:27:58,520 --> 00:28:00,600 Speaker 2: I don't even know how to pronounce this. I'll try. 550 00:28:00,960 --> 00:28:08,119 Speaker 4: Ahhhh h that one was denied. I'm actually kind of surprise. 551 00:28:08,160 --> 00:28:10,000 Speaker 4: I'm surprised, but not surprised on this one. 552 00:28:10,160 --> 00:28:11,120 Speaker 2: I sixty nine. 553 00:28:12,640 --> 00:28:14,440 Speaker 1: I don't think they're talking about the highway. 554 00:28:14,119 --> 00:28:17,119 Speaker 4: But there is an Interstate sixty nine right here in 555 00:28:17,160 --> 00:28:21,080 Speaker 4: the great state of Indiana. I sixty nine bet so 556 00:28:21,160 --> 00:28:23,919 Speaker 4: I seventy would go through. But I wonder why I 557 00:28:24,040 --> 00:28:24,840 Speaker 4: sixty nine would. 558 00:28:24,920 --> 00:28:26,480 Speaker 1: Yes, they could know that. 559 00:28:26,480 --> 00:28:27,120 Speaker 2: That's interesting. 560 00:28:27,160 --> 00:28:33,840 Speaker 3: They blocked plates to prefen prevent offitting somebody if they're 561 00:28:33,960 --> 00:28:37,120 Speaker 3: inappropriate messages and also if they're. 562 00:28:37,400 --> 00:28:41,080 Speaker 4: Couple of political ones. Real quick here hate libs. That 563 00:28:41,160 --> 00:28:44,560 Speaker 4: was one. No Trump. I'm surprised this one wasn't allowed. 564 00:28:44,720 --> 00:28:47,480 Speaker 4: Potus forty five, No, no go on, Potus one. 565 00:28:47,720 --> 00:28:48,560 Speaker 1: That one as well. 566 00:28:48,880 --> 00:28:51,720 Speaker 3: Okay, so let's hear from me Lon Musk, and he 567 00:28:51,960 --> 00:28:54,640 Speaker 3: is saying something that sounds pretty awesome. 568 00:28:55,000 --> 00:28:56,600 Speaker 1: Don't know how it's going to happen. 569 00:28:56,400 --> 00:29:00,680 Speaker 3: Other than your universal income, but he saying that, you 570 00:29:00,720 --> 00:29:04,360 Speaker 3: know what coming up in the future, work will be optional. 571 00:29:04,600 --> 00:29:06,800 Speaker 10: Say like in the long term, where will things end 572 00:29:06,880 --> 00:29:08,800 Speaker 10: up long term? I don't know what long term is. 573 00:29:08,840 --> 00:29:12,600 Speaker 10: Maybe it's ten twenty years or something like that. For me, 574 00:29:12,640 --> 00:29:18,960 Speaker 10: that's long term. My prediction is that work will be optional, optional, optional. 575 00:29:21,480 --> 00:29:23,680 Speaker 6: So we'll take that. 576 00:29:24,320 --> 00:29:27,560 Speaker 10: Yeah, I mean it'll be like playing sports or a 577 00:29:27,640 --> 00:29:30,960 Speaker 10: video game or something like that. If you want to work, 578 00:29:31,880 --> 00:29:34,000 Speaker 10: you know, in the same way like you can you 579 00:29:34,040 --> 00:29:37,680 Speaker 10: can go to the store and just buy some vegetables, 580 00:29:37,760 --> 00:29:40,880 Speaker 10: or you could grow vegetables in your backyard. It's much 581 00:29:40,880 --> 00:29:43,280 Speaker 10: harder to grow vegetables in your backyard, but some people 582 00:29:43,280 --> 00:29:47,240 Speaker 10: still do it because they like growing vegetables. That will 583 00:29:47,280 --> 00:29:51,640 Speaker 10: be what work is like optional and between now and then, 584 00:29:51,680 --> 00:29:53,800 Speaker 10: there's actually a lot of work to get to that point. 585 00:29:55,680 --> 00:30:00,040 Speaker 10: I always recommend people read in Banks culture books. He 586 00:30:00,080 --> 00:30:05,760 Speaker 10: had a sensible what a probable positive AI future is like, 587 00:30:07,560 --> 00:30:12,520 Speaker 10: and interestingly, in those books, money is no longer doesn't exist. 588 00:30:12,840 --> 00:30:16,720 Speaker 1: He's talking about the robot Overlord's coming in. When that happens, 589 00:30:16,760 --> 00:30:18,080 Speaker 1: you'll never have to work again. 590 00:30:18,320 --> 00:30:20,520 Speaker 2: I cannot wait, he said, signed me. 591 00:30:20,840 --> 00:30:23,440 Speaker 3: He said fifteen to twenty years, So that's going to 592 00:30:23,480 --> 00:30:26,240 Speaker 3: be not quick enough for you. 593 00:30:26,400 --> 00:30:29,560 Speaker 4: I look at this as if I were Will Smith's 594 00:30:29,640 --> 00:30:32,760 Speaker 4: grandma in the movie I Robot. If you remember in that, 595 00:30:33,120 --> 00:30:35,360 Speaker 4: she went out and bought a robot because the robot 596 00:30:35,760 --> 00:30:38,680 Speaker 4: look at all these pies I'm making and cooking like crazy. 597 00:30:38,760 --> 00:30:42,120 Speaker 4: She had an entire table full of delicious food and desserts. 598 00:30:42,400 --> 00:30:43,880 Speaker 2: I can't wait for my own robot. 599 00:30:44,040 --> 00:30:46,440 Speaker 1: And in that movie, didn't the robots turn bad? 600 00:30:47,240 --> 00:30:47,360 Speaker 6: Uh? 601 00:30:47,440 --> 00:30:49,440 Speaker 4: Yes, you know, no, that was a problem. Yeah, that 602 00:30:49,520 --> 00:30:51,360 Speaker 4: was a problem. And there's still okay. We've still got 603 00:30:51,360 --> 00:30:53,239 Speaker 4: some kings to work out. I'm not saying everything's going 604 00:30:53,280 --> 00:30:55,400 Speaker 4: to be great about it. But the days of me 605 00:30:55,560 --> 00:30:58,640 Speaker 4: ever mowing another lawn gone, The days of me ever 606 00:30:58,720 --> 00:31:01,440 Speaker 4: having this shovel another driveway gone. 607 00:31:01,600 --> 00:31:03,760 Speaker 3: You know what, our listeners know, we don't have a lawn. 608 00:31:04,040 --> 00:31:05,920 Speaker 3: It's a posted stamp size. 609 00:31:06,000 --> 00:31:08,600 Speaker 4: Well, right now, we do live in a townhouse where 610 00:31:08,600 --> 00:31:10,880 Speaker 4: all that maintenance has taken care of us. But for many, 611 00:31:10,920 --> 00:31:12,760 Speaker 4: many years, we owned our own house and it had 612 00:31:12,800 --> 00:31:14,560 Speaker 4: a very big lawn, and I was out there mowing 613 00:31:14,560 --> 00:31:17,640 Speaker 4: that stinking lawn and shoveling that driveway and snow blowing it. 614 00:31:17,760 --> 00:31:19,920 Speaker 4: And my robot will be doing all that for me 615 00:31:20,080 --> 00:31:20,760 Speaker 4: in the future. 616 00:31:20,880 --> 00:31:23,360 Speaker 1: Uh huh. It is the Kennelly Casey Show. It's ninety 617 00:31:23,400 --> 00:31:34,120 Speaker 1: three WIBC. You know, for years, that list. 618 00:31:33,960 --> 00:31:36,080 Speaker 3: Is always put out that says how much would the 619 00:31:36,120 --> 00:31:38,480 Speaker 3: twelve Days of Christmas cost this year? 620 00:31:38,640 --> 00:31:41,080 Speaker 4: Yeah, that's been going on for decades, Like how much 621 00:31:41,880 --> 00:31:42,280 Speaker 4: does that? 622 00:31:42,400 --> 00:31:43,959 Speaker 2: How much inflation adjust it? 623 00:31:44,560 --> 00:31:47,360 Speaker 4: And every year I get to learn the cost of 624 00:31:47,480 --> 00:31:49,080 Speaker 4: hiring eight maids of milking. 625 00:31:51,080 --> 00:31:52,600 Speaker 1: I should have looked it up earlier. 626 00:31:53,560 --> 00:31:55,440 Speaker 2: There's a better list. I think this is an even 627 00:31:55,480 --> 00:31:56,000 Speaker 2: better one. 628 00:31:56,200 --> 00:31:59,960 Speaker 3: You think so, yeah, okay, so this list is the 629 00:32:00,000 --> 00:32:02,720 Speaker 3: see Kevin McAllister shopping list. 630 00:32:03,000 --> 00:32:04,320 Speaker 2: This is one is more relevant. 631 00:32:04,360 --> 00:32:07,280 Speaker 4: I'm not going to be buying you know, seven swans 632 00:32:07,320 --> 00:32:11,000 Speaker 4: of swimming anytime soon, but I could be buying the 633 00:32:11,040 --> 00:32:13,200 Speaker 4: things that Kevin McAllister bought and home alone. 634 00:32:13,320 --> 00:32:15,680 Speaker 3: Yeah okay, So you remember the scene where he goes 635 00:32:15,720 --> 00:32:19,040 Speaker 3: to the grocery store and he buys some items and 636 00:32:19,720 --> 00:32:23,000 Speaker 3: it cost him nineteen dollars and eighty three cents. 637 00:32:23,080 --> 00:32:25,360 Speaker 1: Now, this was back in nineteen ninety. 638 00:32:25,400 --> 00:32:30,560 Speaker 3: The items include milk, orange juice, white bread, frozen dinners, 639 00:32:30,800 --> 00:32:35,200 Speaker 3: mac and cheese, detergents, saran wrap, dryer sheets, toilet paper, 640 00:32:35,600 --> 00:32:36,880 Speaker 3: and toy soldiers. 641 00:32:37,640 --> 00:32:38,640 Speaker 1: And the total. 642 00:32:38,400 --> 00:32:42,720 Speaker 3: Cost in nineteen ninety nineteen dollars and eighty three cents. Yea, 643 00:32:43,240 --> 00:32:45,360 Speaker 3: if you were to go to the store, and this 644 00:32:45,400 --> 00:32:48,360 Speaker 3: is on average, obviously price is going to vary a 645 00:32:48,400 --> 00:32:50,640 Speaker 3: little bit depending on what part of the country you're in. 646 00:32:50,840 --> 00:32:52,520 Speaker 1: But if you were to go to the store today 647 00:32:53,320 --> 00:32:56,840 Speaker 1: and buy those exact same items, and. 648 00:32:56,840 --> 00:32:57,960 Speaker 2: I guess no, cheeze. 649 00:32:57,960 --> 00:33:02,400 Speaker 4: Okay, So nineteen ninety, that was thirty five years ago, 650 00:33:05,160 --> 00:33:08,880 Speaker 4: it's got to be at least double. Nineteen dollars was 651 00:33:08,920 --> 00:33:10,760 Speaker 4: the price. Then I'm going to say it's now and 652 00:33:10,800 --> 00:33:13,560 Speaker 4: I haven't seen this. I'm gonna say forty two dollars higher, 653 00:33:14,440 --> 00:33:17,240 Speaker 4: forty nine dollars hire sixty eight dollars. 654 00:33:17,240 --> 00:33:18,280 Speaker 1: Okay, it's lower than that. 655 00:33:18,400 --> 00:33:18,720 Speaker 2: Okay. 656 00:33:18,800 --> 00:33:22,400 Speaker 3: The current cost of Kevin McAllister's items from the movie 657 00:33:22,400 --> 00:33:24,600 Speaker 3: Home alone, if you were by to buy them today, 658 00:33:24,960 --> 00:33:28,920 Speaker 3: fifty three dollars and ninety five cents that is before tax. 659 00:33:29,080 --> 00:33:31,120 Speaker 2: That's about a two hundred and fifty percent. 660 00:33:30,800 --> 00:33:34,760 Speaker 3: Increase hundred sixty seven percent increase over thirty five years. 661 00:33:34,920 --> 00:33:35,080 Speaker 6: Yep. 662 00:33:35,440 --> 00:33:37,800 Speaker 4: So Kevin's going to have to put the army Man back. 663 00:33:37,880 --> 00:33:39,600 Speaker 4: He's not gonna be able to afford that toy he 664 00:33:39,640 --> 00:33:41,200 Speaker 4: bought at the end there this time around. 665 00:33:41,360 --> 00:33:41,840 Speaker 1: Yeah. 666 00:33:41,920 --> 00:33:44,560 Speaker 3: So if you if you break it down, you've got 667 00:33:44,920 --> 00:33:48,719 Speaker 3: eggs averaging about three dollars and seventeen cents, and sugar 668 00:33:50,120 --> 00:33:54,320 Speaker 3: a dollar, bread a dollar ninety seven pound all the 669 00:33:54,400 --> 00:33:55,800 Speaker 3: items on his list. 670 00:33:56,240 --> 00:34:00,280 Speaker 1: Now, did he he stole the toothbrush? Didn't he paid 671 00:34:00,320 --> 00:34:00,640 Speaker 1: for it? 672 00:34:01,200 --> 00:34:02,920 Speaker 4: Ended not paying for it. Yes, he paid for the 673 00:34:02,920 --> 00:34:04,520 Speaker 4: toothbrush in the show I. 674 00:34:04,440 --> 00:34:06,560 Speaker 1: Haven't I haven't seen that movie in a while. 675 00:34:07,320 --> 00:34:11,080 Speaker 3: Okay, So the Twelve Days of Christmas for twenty twenty five, 676 00:34:11,560 --> 00:34:15,040 Speaker 3: the cost to buy each one of those items around 677 00:34:15,200 --> 00:34:17,680 Speaker 3: fifty one thousand, four hundred and seventy six. 678 00:34:17,520 --> 00:34:21,040 Speaker 4: Dollars five golden rings. The price certainly gone up there. 679 00:34:21,040 --> 00:34:23,360 Speaker 4: I think gold is still well above four thousand dollars 680 00:34:23,400 --> 00:34:26,680 Speaker 4: in record high territory. That's got to be a big 681 00:34:26,920 --> 00:34:27,640 Speaker 4: chunk a right. 682 00:34:28,160 --> 00:34:29,680 Speaker 1: It seems like you should be higher than. 683 00:34:29,520 --> 00:34:33,000 Speaker 4: That fifty one thousand dollars. How much are twelve lords 684 00:34:33,000 --> 00:34:35,760 Speaker 4: of leaping these days? I haven't priced out renting twelve 685 00:34:35,800 --> 00:34:37,000 Speaker 4: lords of leaping recently. 686 00:34:37,719 --> 00:34:41,279 Speaker 3: The five gold rings. Okay, cost of gold they're saying 687 00:34:41,400 --> 00:34:46,360 Speaker 3: is twelve hundred dollars. Yeah, okay, so fifty four fifty 688 00:34:46,400 --> 00:34:48,719 Speaker 3: one thousand dollars four hundred and seventy. 689 00:34:48,440 --> 00:34:50,719 Speaker 2: Six for the twelve days of Christmas. 690 00:34:50,800 --> 00:34:52,720 Speaker 1: Yep, there you go. Okay. 691 00:34:52,800 --> 00:34:58,759 Speaker 3: So swearing apparently it's good for you. It helps you 692 00:34:59,000 --> 00:35:00,480 Speaker 3: boost your perform rmance. 693 00:35:00,840 --> 00:35:04,560 Speaker 4: First, cheese is good for you. Now swearing is good 694 00:35:04,560 --> 00:35:07,080 Speaker 4: for you. Right, thing is turn it up rosy for 695 00:35:07,160 --> 00:35:07,600 Speaker 4: me today? 696 00:35:07,640 --> 00:35:08,240 Speaker 2: It is great. 697 00:35:08,480 --> 00:35:11,799 Speaker 3: So they did this test and they were having participants 698 00:35:11,880 --> 00:35:13,080 Speaker 3: do a chair push. 699 00:35:12,880 --> 00:35:15,440 Speaker 2: Up and wait, what's a chair push up? 700 00:35:16,000 --> 00:35:16,040 Speaker 3: Is? 701 00:35:16,080 --> 00:35:18,439 Speaker 1: When you push up with the chair? 702 00:35:18,760 --> 00:35:21,520 Speaker 4: Oh, you're sitting in a chair. And can you what 703 00:35:21,680 --> 00:35:25,360 Speaker 4: lean over on a desk or a table and do 704 00:35:25,400 --> 00:35:25,960 Speaker 4: a push up? 705 00:35:26,080 --> 00:35:27,040 Speaker 1: You know what a push up is? 706 00:35:27,080 --> 00:35:28,120 Speaker 2: You know what a push up is? 707 00:35:28,200 --> 00:35:30,880 Speaker 1: Yeah, you just do it in a chair looked like 708 00:35:30,920 --> 00:35:33,120 Speaker 1: the chair, okay instead of the floor. 709 00:35:33,360 --> 00:35:33,640 Speaker 2: Okay. 710 00:35:34,920 --> 00:35:38,400 Speaker 3: And when you repeat a curse word compared to just 711 00:35:38,480 --> 00:35:43,720 Speaker 3: any neutral word, you're able to do more push ups, 712 00:35:44,600 --> 00:35:47,279 Speaker 3: more chair push ups because you're fighting through with that 713 00:35:47,360 --> 00:35:51,799 Speaker 3: bad language. Apparently it helps to spike your adrenaline when 714 00:35:51,880 --> 00:35:52,560 Speaker 3: you're swearing. 715 00:35:54,440 --> 00:35:55,520 Speaker 2: Like I said, this is great. 716 00:35:55,520 --> 00:35:58,200 Speaker 4: We found out that heavy you know, high fat cheeses 717 00:35:58,239 --> 00:36:00,319 Speaker 4: are good for you, and now swearing is good for you. 718 00:36:00,440 --> 00:36:02,799 Speaker 4: That's what I took out of this article. Swearing is 719 00:36:02,800 --> 00:36:04,680 Speaker 4: good for you. You should swear a lot more. 720 00:36:04,920 --> 00:36:07,720 Speaker 2: This is what you've learned to article. 721 00:36:07,800 --> 00:36:12,640 Speaker 3: Yeah, there are three main psychological factors. It helps you focus, 722 00:36:13,160 --> 00:36:17,040 Speaker 3: focus your mental state when you're swearing, and it distracts 723 00:36:17,080 --> 00:36:20,399 Speaker 3: you from any discomfort that you have. And it also 724 00:36:20,440 --> 00:36:23,600 Speaker 3: gives you self confidence. You feel braver and more capable 725 00:36:23,920 --> 00:36:24,880 Speaker 3: when you're swearing. 726 00:36:26,480 --> 00:36:29,040 Speaker 4: Listening to you and the details in this article just 727 00:36:29,080 --> 00:36:30,279 Speaker 4: makes me want to swear. 728 00:36:30,160 --> 00:36:30,680 Speaker 1: Does it. 729 00:36:31,600 --> 00:36:34,120 Speaker 2: I'm really canding doing. I'm fidgeting over here and having 730 00:36:34,120 --> 00:36:35,160 Speaker 2: to hold myself back. 731 00:36:35,280 --> 00:36:38,160 Speaker 1: If you swear, you're paying the fine. 732 00:36:38,719 --> 00:36:40,040 Speaker 2: I'm not going to swear, promise. 733 00:36:40,320 --> 00:36:40,640 Speaker 1: Okay. 734 00:36:41,120 --> 00:36:44,799 Speaker 3: So we're wrapping up the year, and you know, at 735 00:36:44,800 --> 00:36:46,839 Speaker 3: this time of year, it's always the end of year 736 00:36:46,920 --> 00:36:47,920 Speaker 3: reports that come out. 737 00:36:48,000 --> 00:36:50,400 Speaker 2: I love the look back the end of year stories. 738 00:36:50,480 --> 00:36:51,279 Speaker 2: Love those every year. 739 00:36:51,360 --> 00:36:55,000 Speaker 3: Okay, so we've got the end of your words right 740 00:36:55,080 --> 00:36:57,279 Speaker 3: from the different dictionaries and such. 741 00:36:57,400 --> 00:37:00,040 Speaker 2: Oh like word of the years now no notable words. 742 00:36:59,680 --> 00:37:00,319 Speaker 1: Of the year here. 743 00:37:00,880 --> 00:37:06,839 Speaker 3: Ai slop was one, meaning low quality content generated by 744 00:37:06,880 --> 00:37:11,200 Speaker 3: ai okay. Parasocial was another one heard of that one 745 00:37:11,200 --> 00:37:14,280 Speaker 3: say one sided relationship with someone you don't. 746 00:37:14,120 --> 00:37:19,439 Speaker 1: Know personally, so I or celebrity. 747 00:37:18,960 --> 00:37:22,040 Speaker 4: Yeah, celebrity if you like or watch somebody on TikTok. 748 00:37:22,480 --> 00:37:26,680 Speaker 3: Rage bait was another one online content which is designed 749 00:37:26,760 --> 00:37:33,799 Speaker 3: to provoke anger. And then finally sixty seven dictionary Dictionary 750 00:37:33,840 --> 00:37:35,000 Speaker 3: dot com. 751 00:37:35,080 --> 00:37:37,840 Speaker 1: Dictionary dot Com said sixty seven was the word. 752 00:37:38,239 --> 00:37:40,600 Speaker 4: I'm just happy that skibbity toilet wasn't on there, so 753 00:37:40,680 --> 00:37:41,080 Speaker 4: that's good. 754 00:37:41,880 --> 00:37:44,640 Speaker 3: Thank you, Jim, Thank you Kevin, Thank you for listening. 755 00:37:44,760 --> 00:37:47,799 Speaker 3: This has been the Kendall and Casey Show. Have a 756 00:37:47,840 --> 00:37:51,280 Speaker 3: great weekend. We'll catch you back here Monday. It's ninety 757 00:37:51,280 --> 00:38:04,600 Speaker 3: three w IBC. 758 00:38:00,080 --> 00:38:00,760 Speaker 6: And swhere. 759 00:38:00,800 --> 00:38:01,720 Speaker 5: I'll be from 760 00:38:06,040 --> 00:38:06,360 Speaker 8: MHM