1 00:00:00,120 --> 00:00:03,600 Speaker 1: So we start off with a question, Okay, do you 2 00:00:03,680 --> 00:00:07,760 Speaker 1: remember your President Nixon? Do you remember the bills you 3 00:00:07,880 --> 00:00:10,960 Speaker 1: had to pay or even yesterday? 4 00:00:11,600 --> 00:00:13,600 Speaker 2: I don't know what that is, Kevin, do you know 5 00:00:13,640 --> 00:00:14,240 Speaker 2: what that is? 6 00:00:15,200 --> 00:00:20,240 Speaker 3: I think you do, and we'll say ran oh, lyrics 7 00:00:20,239 --> 00:00:23,840 Speaker 3: to the David Bowie song. Okay, okay, fine, Yeah, I 8 00:00:23,840 --> 00:00:25,400 Speaker 3: guess I don't know the lyrics to that song as 9 00:00:25,440 --> 00:00:26,800 Speaker 3: well as I might have thought I did. 10 00:00:28,320 --> 00:00:30,400 Speaker 1: I bring it up because there's a new Gallup poll 11 00:00:30,400 --> 00:00:34,680 Speaker 1: that came out and it is about young Americans. Forty 12 00:00:34,680 --> 00:00:39,360 Speaker 1: five percent of US adults now identify as political independence. 13 00:00:39,840 --> 00:00:43,320 Speaker 1: Two decades ago, it was about a third and now 14 00:00:43,360 --> 00:00:46,440 Speaker 1: you've got forty five percent saying yeah, I'm independent, I 15 00:00:46,520 --> 00:00:49,280 Speaker 1: don't identify with either political party. 16 00:00:49,400 --> 00:00:51,519 Speaker 3: Yeah. This is part of a long term trend that 17 00:00:51,520 --> 00:00:54,240 Speaker 3: we've seen taken place in politics where people it was 18 00:00:54,320 --> 00:00:56,920 Speaker 3: much more common to be a proud Republican or a 19 00:00:56,960 --> 00:00:59,600 Speaker 3: proud Democrat, and then we saw people shift and they 20 00:00:59,600 --> 00:01:03,160 Speaker 3: were like, well, I'm more of a conservatives, which means I'm, 21 00:01:03,240 --> 00:01:05,320 Speaker 3: you know, have my core values, but I may not 22 00:01:05,360 --> 00:01:07,959 Speaker 3: support the Republican Party all the time. And then near 23 00:01:08,040 --> 00:01:09,759 Speaker 3: seeing people that are just like, no, but I think 24 00:01:09,880 --> 00:01:12,520 Speaker 3: both of these parties are absolute idiots, and I'm going 25 00:01:12,600 --> 00:01:15,320 Speaker 3: to call myself an independent. And this kind of tracks. 26 00:01:15,360 --> 00:01:17,639 Speaker 3: I mean, we've saw a lot of polling data that shows, 27 00:01:17,680 --> 00:01:21,400 Speaker 3: you know, the Republicans don't have the greatest approval rating 28 00:01:21,440 --> 00:01:24,679 Speaker 3: when you ask a general, generic nationwide question, and the 29 00:01:24,720 --> 00:01:27,479 Speaker 3: Democrats have an even worse approval rating when you ask 30 00:01:27,520 --> 00:01:30,640 Speaker 3: a generic, general nationwide question. So we've seen that data 31 00:01:30,680 --> 00:01:32,720 Speaker 3: there for a long time, and those numbers trending lower 32 00:01:32,720 --> 00:01:34,960 Speaker 3: and lower, and so it makes common sense to say, Okay, 33 00:01:35,040 --> 00:01:38,120 Speaker 3: the next logical step is people just you know, publicly 34 00:01:38,160 --> 00:01:40,760 Speaker 3: saying I'm not a Democrat, I'm not a Republican. I 35 00:01:40,760 --> 00:01:42,880 Speaker 3: think both of these groups are idiots. I'm going to, 36 00:01:43,000 --> 00:01:46,120 Speaker 3: you know, consider myself an independent. And we're bumping up 37 00:01:46,120 --> 00:01:48,640 Speaker 3: on now almost half of the entire country. 38 00:01:49,080 --> 00:01:52,680 Speaker 1: So the trend, it's driven by obvious discontent with the 39 00:01:52,720 --> 00:01:56,360 Speaker 1: party in power, not just lasting loyalty. And it's more 40 00:01:56,440 --> 00:01:59,520 Speaker 1: so with gen Z and millennials, they are the biggest 41 00:01:59,520 --> 00:02:04,680 Speaker 1: independent group. Over fifty percent identify as independent. Older generations 42 00:02:04,720 --> 00:02:07,600 Speaker 1: they remain a little bit more likely to affiliate to 43 00:02:07,840 --> 00:02:12,079 Speaker 1: a major party, but nearly half of these independents forty 44 00:02:12,080 --> 00:02:16,359 Speaker 1: seven percent also describe themselves as moderates. 45 00:02:17,840 --> 00:02:20,200 Speaker 2: So and that it's hard right down the middle. 46 00:02:20,320 --> 00:02:23,000 Speaker 3: And it used to be for generations, or in generations, 47 00:02:23,000 --> 00:02:25,720 Speaker 3: it was you know, my mom and dad voted for FDR, 48 00:02:25,880 --> 00:02:28,240 Speaker 3: so I'm a Democrat, or my mom and dad voted 49 00:02:28,280 --> 00:02:32,240 Speaker 3: for Reagan and so I'm a Republican. And those traditional 50 00:02:32,400 --> 00:02:36,200 Speaker 3: norms that have existed for generations, you're continuing to go away. 51 00:02:36,200 --> 00:02:38,200 Speaker 3: And so it makes sense that the younger generation is 52 00:02:38,200 --> 00:02:39,679 Speaker 3: going to be the one to break those norms, and 53 00:02:39,720 --> 00:02:42,560 Speaker 3: the older generation still clinging to the concept of a 54 00:02:42,680 --> 00:02:44,919 Speaker 3: you know, there's two parties. I'm either a Democrat or 55 00:02:44,960 --> 00:02:45,600 Speaker 3: a Republican. 56 00:02:45,720 --> 00:02:48,560 Speaker 1: Well, it also means that you're going to have more 57 00:02:48,680 --> 00:02:53,359 Speaker 1: political swings that could become more frequent. If they're rejecting 58 00:02:54,240 --> 00:02:58,359 Speaker 1: traditional political labels, they're just going to go whichever way 59 00:02:58,360 --> 00:02:58,919 Speaker 1: the wind blows. 60 00:02:59,040 --> 00:03:01,679 Speaker 3: Yeah, and the part is it really secure politics and 61 00:03:01,720 --> 00:03:04,800 Speaker 3: running elections have obviously figured this out. You know, it 62 00:03:04,919 --> 00:03:06,920 Speaker 3: used to be I need to make an argument so 63 00:03:06,960 --> 00:03:11,000 Speaker 3: I can convince the Democrats to vote for me a Republican, 64 00:03:11,080 --> 00:03:14,000 Speaker 3: and then it moved to, well, I need to get 65 00:03:14,120 --> 00:03:16,720 Speaker 3: my base out. That's how I'm gonna win this. Just 66 00:03:16,760 --> 00:03:19,080 Speaker 3: get more Republicans or more Democrats out, and that's how 67 00:03:19,080 --> 00:03:20,800 Speaker 3: I'm gonna win this. And now it's come down to 68 00:03:21,080 --> 00:03:23,760 Speaker 3: there's this chunk that sit in the middle, and sometimes 69 00:03:23,760 --> 00:03:25,919 Speaker 3: they're gonna vote with Democrats and sometimes they're gonna motever 70 00:03:25,919 --> 00:03:28,200 Speaker 3: to Republicans, and it's my job to get that chunk 71 00:03:28,240 --> 00:03:30,440 Speaker 3: in the middle to break my way and not my opponents. 72 00:03:30,560 --> 00:03:32,720 Speaker 1: Well, you got to wonder, is that gonna mean that 73 00:03:32,919 --> 00:03:35,680 Speaker 1: politicians are going to start watering down their message to 74 00:03:35,760 --> 00:03:39,120 Speaker 1: try to appeal to that moderate, independent middle group. 75 00:03:39,880 --> 00:03:41,720 Speaker 3: I think actually what you'll see is probably and I 76 00:03:41,760 --> 00:03:43,600 Speaker 3: think we've seen this a little bit, you actually probably 77 00:03:43,600 --> 00:03:45,920 Speaker 3: see the opposite, because you're gonna need to get those 78 00:03:45,920 --> 00:03:48,080 Speaker 3: people's attention. That's what it comes down to. I think 79 00:03:48,080 --> 00:03:50,360 Speaker 3: a lot of those people that identify as independents have 80 00:03:50,480 --> 00:03:53,280 Speaker 3: kind of been so disgusted with politics as usual that 81 00:03:53,360 --> 00:03:56,720 Speaker 3: they self checked out and aren't paying nearly as much 82 00:03:56,720 --> 00:03:58,839 Speaker 3: attention to it as they might have normally. And if 83 00:03:58,840 --> 00:04:02,440 Speaker 3: that's the case for independence, then you're going to have 84 00:04:02,480 --> 00:04:05,160 Speaker 3: to come out with more and more extreme positions to 85 00:04:05,200 --> 00:04:07,320 Speaker 3: be able to get them to even pay attention to 86 00:04:07,400 --> 00:04:08,800 Speaker 3: you and engage with what you're doing. 87 00:04:09,000 --> 00:04:12,200 Speaker 1: So this is something that happened started in nineteen seventy 88 00:04:12,240 --> 00:04:16,320 Speaker 1: one and it's still continuing today. We're talking about the 89 00:04:16,440 --> 00:04:21,520 Speaker 1: annual little get together in Davos, Switzerland, the World Economic Forum, 90 00:04:21,600 --> 00:04:25,599 Speaker 1: the global gathering of business, political and civil society leaders. 91 00:04:25,880 --> 00:04:27,640 Speaker 1: They've been doing it for a long time and now 92 00:04:27,640 --> 00:04:30,839 Speaker 1: it has grown into this major forum where they discuss 93 00:04:31,120 --> 00:04:36,119 Speaker 1: worldwide issues like economics, climate, technology cooperation. They've got another 94 00:04:36,160 --> 00:04:40,720 Speaker 1: three thousand participants from over one hundred and thirty countries attending, 95 00:04:40,880 --> 00:04:45,080 Speaker 1: and Donald Trump expected to speak at the forum, and 96 00:04:45,200 --> 00:04:49,400 Speaker 1: he's also going to be accompanied by Marco Rubio and 97 00:04:49,560 --> 00:04:53,760 Speaker 1: also the Treasury Secretary Scott Passent part of the delegation, 98 00:04:54,040 --> 00:04:59,400 Speaker 1: and leaders from France, China, Ukraine, and NATO and the 99 00:04:59,440 --> 00:05:02,560 Speaker 1: World Health Organization also going to be present as well 100 00:05:02,560 --> 00:05:06,599 Speaker 1: as some tech leaders and innovators are participating as well. 101 00:05:06,800 --> 00:05:10,039 Speaker 1: You got to imagine Donald Trump's message will be much 102 00:05:10,200 --> 00:05:14,839 Speaker 1: different than what the people at the WEF had heard 103 00:05:15,240 --> 00:05:15,880 Speaker 1: in the past. 104 00:05:16,480 --> 00:05:19,159 Speaker 3: He's made it very clear, here's what the US wants 105 00:05:19,200 --> 00:05:20,920 Speaker 3: to do. If you're not on board, we're going to 106 00:05:20,960 --> 00:05:23,080 Speaker 3: smack you with a bunch of tariffs but I mean 107 00:05:23,240 --> 00:05:30,039 Speaker 3: nothing screams secret society and conspiracy theory quite like this 108 00:05:30,200 --> 00:05:35,039 Speaker 3: Davos meeting every year. You know, huge elitist, powerful groups 109 00:05:35,080 --> 00:05:39,000 Speaker 3: and individuals all gathering from around the world to get together. 110 00:05:39,360 --> 00:05:41,400 Speaker 3: And by the way, we're not going to talk about 111 00:05:41,400 --> 00:05:43,840 Speaker 3: what's going on in there. I mean, it's just reeks 112 00:05:43,839 --> 00:05:46,760 Speaker 3: of secret society and conspiracy theorists, and it's worse than 113 00:05:46,800 --> 00:05:49,200 Speaker 3: it's ever been. I mean, this is just a gathering 114 00:05:49,440 --> 00:05:52,480 Speaker 3: for the powerful people in this world to talk about 115 00:05:52,480 --> 00:05:54,640 Speaker 3: how they want that world to look like going forward. 116 00:05:54,640 --> 00:05:56,400 Speaker 1: You have to imagine that Donald Trump is going to 117 00:05:56,440 --> 00:05:59,840 Speaker 1: be talking about greenland and tariffs as well, and that 118 00:06:00,040 --> 00:06:02,680 Speaker 1: will for sure influence their discussions. 119 00:06:02,800 --> 00:06:03,839 Speaker 2: He's going to dominate. 120 00:06:03,920 --> 00:06:07,440 Speaker 1: He's going to walk in there and just take up 121 00:06:07,440 --> 00:06:10,640 Speaker 1: the entire all all of the oxygen in the room. 122 00:06:10,720 --> 00:06:14,560 Speaker 3: I feel. Imagine the scene from Seinfeld and the Festivus 123 00:06:14,600 --> 00:06:18,159 Speaker 3: episode when Frankstanza gets up to the airing of grievances. 124 00:06:18,440 --> 00:06:20,560 Speaker 3: That's Donald Trump. I got a lot of problems with 125 00:06:20,600 --> 00:06:22,760 Speaker 3: you people, right, It's going to start here by how 126 00:06:22,800 --> 00:06:26,039 Speaker 3: you're not letting free speech in your countries, your reliance 127 00:06:26,080 --> 00:06:29,640 Speaker 3: on Russian energy, oil and natural gas, and by the way, 128 00:06:29,760 --> 00:06:31,520 Speaker 3: I'm going to take greenland and there's nothing you're going 129 00:06:31,560 --> 00:06:32,480 Speaker 3: to be able to do about it. 130 00:06:32,640 --> 00:06:37,200 Speaker 1: The thing, it doesn't seem to produce results all the time. 131 00:06:37,600 --> 00:06:40,800 Speaker 1: It's always big, big think pieces and this is what 132 00:06:40,839 --> 00:06:44,160 Speaker 1: we're going to do with the world, and it seems 133 00:06:44,520 --> 00:06:46,440 Speaker 1: very slow in the process. 134 00:06:46,520 --> 00:06:49,640 Speaker 3: I think that's what the message that they released to 135 00:06:49,680 --> 00:06:52,039 Speaker 3: the public, Oh, we'd like to do this, we'd like 136 00:06:52,120 --> 00:06:56,359 Speaker 3: to do this behind behind closed doors now. But the 137 00:06:56,440 --> 00:06:58,600 Speaker 3: part that you don't see, there's so much going on 138 00:06:58,760 --> 00:07:02,520 Speaker 3: behind closed door and deals being done that nobody is 139 00:07:02,600 --> 00:07:05,600 Speaker 3: talking about exactly. And that's why people have these, you know, 140 00:07:06,400 --> 00:07:09,080 Speaker 3: problems with secret societies, and that's why Davos has always 141 00:07:09,120 --> 00:07:10,640 Speaker 3: kind of been front and center when it comes to 142 00:07:10,680 --> 00:07:13,640 Speaker 3: conspiracy theorists. You've got these the most powerful people in 143 00:07:13,680 --> 00:07:16,960 Speaker 3: the world all getting together telling you what's going to happen. 144 00:07:16,800 --> 00:07:19,000 Speaker 2: Exactly, deciding what's going to happen. 145 00:07:18,720 --> 00:07:21,240 Speaker 3: Talking about what they want to do, how they want 146 00:07:21,240 --> 00:07:23,400 Speaker 3: the world to look, and how they're going to shape that, 147 00:07:23,480 --> 00:07:25,800 Speaker 3: whether we the citizens want that or not. 148 00:07:26,800 --> 00:07:31,400 Speaker 1: So there was a record breaking streaming day, the biggest 149 00:07:31,440 --> 00:07:35,880 Speaker 1: ever Christmas Day twenty twenty five. You had fifty five 150 00:07:35,960 --> 00:07:40,760 Speaker 1: point one billion minutes on streaming platforms, So more people 151 00:07:40,840 --> 00:07:44,120 Speaker 1: watched programs on streaming services than ever. 152 00:07:44,400 --> 00:07:48,280 Speaker 3: Yeah, so fifty four percent of all TV use during 153 00:07:48,360 --> 00:07:52,200 Speaker 3: the day, juror did just this last Christmas came from 154 00:07:52,240 --> 00:07:55,880 Speaker 3: streaming platforms platforms, whether it was you know, Netflix or 155 00:07:55,920 --> 00:07:59,680 Speaker 3: YouTube or Paramount or Peacock or any of those streaming platforms. 156 00:07:59,680 --> 00:08:02,800 Speaker 3: Fifty four percent of all TV use on Christmas Day. 157 00:08:02,960 --> 00:08:04,320 Speaker 3: It was just from the stream. 158 00:08:04,080 --> 00:08:07,760 Speaker 1: Jump too, because in Christmas of twenty four you had 159 00:08:07,800 --> 00:08:08,560 Speaker 1: three point. 160 00:08:08,440 --> 00:08:10,720 Speaker 2: Nine billion minutes of streaming and. 161 00:08:10,840 --> 00:08:14,240 Speaker 1: Just a year later, Christmas twenty five, fifty five point 162 00:08:14,320 --> 00:08:15,360 Speaker 1: one billion minutes. 163 00:08:15,400 --> 00:08:17,600 Speaker 3: Now it's a huge joke, it's a massive jumping. A 164 00:08:17,640 --> 00:08:20,280 Speaker 3: couple of things driving the several things driving this. You 165 00:08:20,320 --> 00:08:23,400 Speaker 3: had two NFL games that aired on Christmas Day that 166 00:08:23,480 --> 00:08:25,560 Speaker 3: were both on streaming platforms. One of them was on 167 00:08:25,600 --> 00:08:27,520 Speaker 3: Netflix and one of them was on Amazon Prime. We 168 00:08:27,560 --> 00:08:31,120 Speaker 3: all know that all television viewing is dominated by the NFL. 169 00:08:31,240 --> 00:08:33,040 Speaker 3: Every single year. When you look at like the top 170 00:08:33,080 --> 00:08:36,599 Speaker 3: one hundred TV shows from the last year, whether on broadcast, 171 00:08:36,640 --> 00:08:39,040 Speaker 3: cable or streaming, you know, the NFL has got like 172 00:08:39,120 --> 00:08:41,199 Speaker 3: ninety five of the top one hundred, so that is 173 00:08:41,240 --> 00:08:43,320 Speaker 3: a huge driver. But you also had the release of 174 00:08:43,320 --> 00:08:46,720 Speaker 3: Stranger Things on Netflix, which has a massive, massive following. 175 00:08:46,920 --> 00:08:50,000 Speaker 3: You also had a new season of Landman on Paramount 176 00:08:50,040 --> 00:08:54,560 Speaker 3: Plus that came out, and everybody's off work, everybody's together 177 00:08:54,600 --> 00:08:57,560 Speaker 3: with their families. You're all just sitting around. You're watching movies, 178 00:08:57,559 --> 00:09:00,840 Speaker 3: you're watching football, you're watching land Man or Stranger Things 179 00:09:00,960 --> 00:09:03,520 Speaker 3: on your streaming device. But that's just an insane number, 180 00:09:03,520 --> 00:09:06,800 Speaker 3: fifty four percent of all TV viewing on Christmas Day with. 181 00:09:06,800 --> 00:09:09,720 Speaker 1: Well, well, it's being driven by NFL, right, because people are 182 00:09:09,720 --> 00:09:12,240 Speaker 1: forced now to buy the streaming services if they want 183 00:09:12,280 --> 00:09:13,360 Speaker 1: to watch their favorite team. 184 00:09:13,520 --> 00:09:15,800 Speaker 3: That's certainly a huge part of it. But I mean 185 00:09:16,120 --> 00:09:19,439 Speaker 3: this is, you know, multifaceted. Obviously, people are streaming more 186 00:09:19,440 --> 00:09:21,480 Speaker 3: and more every year, so that's part of the trend. 187 00:09:21,520 --> 00:09:24,240 Speaker 3: The other shows that you know released new seasons right 188 00:09:24,280 --> 00:09:26,720 Speaker 3: around Christmas. It was also another part of it. But yeah, 189 00:09:26,800 --> 00:09:29,120 Speaker 3: you've got to believe that the NFL in those two games, 190 00:09:29,240 --> 00:09:31,760 Speaker 3: one on Netflix and one on Amazon Video, were the 191 00:09:31,840 --> 00:09:34,079 Speaker 3: big contributors to that huge jumping number. 192 00:09:34,160 --> 00:09:38,760 Speaker 1: December was the highest streaming month ever, with forty seven 193 00:09:38,800 --> 00:09:42,760 Speaker 1: and a half of all US tv US was streaming. 194 00:09:42,920 --> 00:09:46,160 Speaker 3: By the way, here are the top five streaming services 195 00:09:46,600 --> 00:09:48,800 Speaker 3: in the month of December in the United States, and 196 00:09:48,880 --> 00:09:52,320 Speaker 3: number one always surprises everybody, and that's YouTube. YouTube is 197 00:09:52,360 --> 00:09:54,319 Speaker 3: by far and away number one, It's not even close. 198 00:09:54,760 --> 00:09:58,920 Speaker 3: Netflix a distant second, followed by Disney Prime Video and 199 00:09:59,360 --> 00:10:02,600 Speaker 3: the Roku channels right, which I thought was pretty interesting 200 00:10:02,600 --> 00:10:07,240 Speaker 3: that the Roku channels beat Paramount and Peacock and Warner Brothers, 201 00:10:07,280 --> 00:10:09,840 Speaker 3: Discovery and things like two B and that sort of stuff. 202 00:10:10,080 --> 00:10:11,640 Speaker 3: Very popular the Roku channels. 203 00:10:11,760 --> 00:10:16,680 Speaker 1: So if you've got streaming elevating, of course, dropping is 204 00:10:16,720 --> 00:10:17,800 Speaker 1: broadcast networks. 205 00:10:18,000 --> 00:10:19,559 Speaker 2: They were down twenty one percent. 206 00:10:21,559 --> 00:10:24,559 Speaker 3: That is a massive Obviously, we talked about the massive 207 00:10:24,600 --> 00:10:26,760 Speaker 3: jump and streaming and that that, you know, usage has 208 00:10:26,800 --> 00:10:29,280 Speaker 3: got to come from somewhere, but twenty percent drop in 209 00:10:29,360 --> 00:10:34,360 Speaker 3: broadcast networks is a massive, massive decline for the broadcast networks. 210 00:10:34,679 --> 00:10:35,720 Speaker 2: So how are you feeling? 211 00:10:36,480 --> 00:10:39,120 Speaker 3: Pretty good? How are you feeling? How you doing? I'm great, 212 00:10:39,160 --> 00:10:41,760 Speaker 3: I you won last night. I was a fantastic evening. 213 00:10:41,960 --> 00:10:44,000 Speaker 3: I'm on cloud night. I feel like one hundred dollars 214 00:10:44,000 --> 00:10:44,600 Speaker 3: over here. 215 00:10:44,480 --> 00:10:46,520 Speaker 2: The average American feels completely healthy. 216 00:10:46,559 --> 00:10:50,760 Speaker 1: Only sixteen days per month, only half of the month, 217 00:10:50,840 --> 00:10:55,280 Speaker 1: are you feeling good? The rest of the month involves fatigue, aches, 218 00:10:55,520 --> 00:11:00,760 Speaker 1: or illness. Winter, of course, is the worst, where Americans 219 00:11:00,840 --> 00:11:04,480 Speaker 1: report an average of five unwell days in the winter 220 00:11:05,040 --> 00:11:07,439 Speaker 1: with body aches and being tired. 221 00:11:08,720 --> 00:11:13,680 Speaker 3: Getting old is it's really something you hear about it 222 00:11:13,679 --> 00:11:16,079 Speaker 3: when you're young and you're like, ah, these old people, 223 00:11:16,080 --> 00:11:18,040 Speaker 3: they don't know. I'm not gonna be that way. I'm young, 224 00:11:18,080 --> 00:11:20,160 Speaker 3: I'm going to live forever. And then you start getting 225 00:11:20,160 --> 00:11:22,839 Speaker 3: old and you're like, oh, man, they were right. They 226 00:11:22,880 --> 00:11:26,000 Speaker 3: see all of a sudden, I make noises whenever I 227 00:11:26,040 --> 00:11:29,000 Speaker 3: stand up or sit down, you know, And. 228 00:11:28,960 --> 00:11:31,280 Speaker 1: Once you start making that noise, it just becomes a 229 00:11:31,280 --> 00:11:32,040 Speaker 1: permanent part of your. 230 00:11:32,000 --> 00:11:34,160 Speaker 3: Friend, it does. It just becomes the thing. And you 231 00:11:34,200 --> 00:11:37,440 Speaker 3: sit down on the couch, eh, and then you stand 232 00:11:37,520 --> 00:11:41,360 Speaker 3: up from the couch. You're like, so yeah, yeah. Half 233 00:11:41,480 --> 00:11:45,120 Speaker 3: the month people say that they're not entirely healthy. I 234 00:11:45,240 --> 00:11:48,760 Speaker 3: totally get that now that I'm over fifty, I completely 235 00:11:48,880 --> 00:11:49,560 Speaker 3: understand that. 236 00:11:49,760 --> 00:11:52,160 Speaker 1: We were hanging out with my brother and my sister 237 00:11:52,160 --> 00:11:54,400 Speaker 1: in law over the weekend. In the first I don't know, 238 00:11:54,480 --> 00:11:57,679 Speaker 1: two hours we were together, all we talked about was 239 00:11:57,679 --> 00:11:58,760 Speaker 1: our agges, which. 240 00:11:58,720 --> 00:12:03,080 Speaker 3: I hated that that because obviously, you know, back in 241 00:12:03,120 --> 00:12:05,120 Speaker 3: the day when we were younger, we were around your 242 00:12:05,160 --> 00:12:08,040 Speaker 3: brother and his family, and we were getting married and 243 00:12:08,080 --> 00:12:09,800 Speaker 3: we were having children, and so there were all these 244 00:12:09,840 --> 00:12:12,240 Speaker 3: family gatherings with a lot of extended family, and I 245 00:12:12,320 --> 00:12:16,120 Speaker 3: remember back then thinking, geez, our parents' generation and listening 246 00:12:16,120 --> 00:12:17,840 Speaker 3: to them talk in the hotel room or at the 247 00:12:17,840 --> 00:12:20,040 Speaker 3: family gathering there, It's like, man, all these people do 248 00:12:20,120 --> 00:12:23,080 Speaker 3: is talk about what prescriptions they're on, or whether they're 249 00:12:23,080 --> 00:12:27,000 Speaker 3: taking Medicare Part B or D, or the doctor's appointments 250 00:12:27,040 --> 00:12:30,200 Speaker 3: they got. I'm never gonna be that way. Yeah, no, 251 00:12:30,200 --> 00:12:32,320 Speaker 3: it turns out I'm totally that way. We spent are 252 00:12:32,360 --> 00:12:34,360 Speaker 3: you kidding me? The first two hours with your brother 253 00:12:34,400 --> 00:12:37,160 Speaker 3: and his wife this weekend. We spent the entire weekend 254 00:12:37,600 --> 00:12:40,600 Speaker 3: doing nothing but talking about all of our medical problems 255 00:12:40,600 --> 00:12:42,600 Speaker 3: and aches and pains that we have. So yeah, I 256 00:12:42,640 --> 00:12:45,439 Speaker 3: get this, I get this. Poll totally makes sense to me. 257 00:12:45,600 --> 00:12:49,240 Speaker 3: Half the month we don't feel healthy. Tracks absolutely tracks. 258 00:12:49,360 --> 00:12:53,000 Speaker 1: So there's rest guilt. That's a new phrase. I have 259 00:12:53,080 --> 00:12:56,920 Speaker 1: not heard of this, feeling guilty about resting. Forty six 260 00:12:56,960 --> 00:13:00,280 Speaker 1: percent of people say they feel guilty taking time off 261 00:13:00,320 --> 00:13:03,600 Speaker 1: when they're not officially sick when the free workers say 262 00:13:03,600 --> 00:13:06,680 Speaker 1: they don't have enough unwell days, forcing them to push 263 00:13:06,720 --> 00:13:07,640 Speaker 1: through illnesses. 264 00:13:08,040 --> 00:13:11,959 Speaker 3: I've never felt guilty about being sickero Okay, I've been 265 00:13:12,000 --> 00:13:15,520 Speaker 3: totally comfortable about being sick. And what is it called rest? 266 00:13:16,000 --> 00:13:16,640 Speaker 2: Rest guilt? 267 00:13:16,720 --> 00:13:19,600 Speaker 3: Rest guilt? I've never had rest guilt before. In fact, 268 00:13:19,640 --> 00:13:25,079 Speaker 3: I have rest relief I have. I look forward to rest. 269 00:13:25,480 --> 00:13:28,160 Speaker 3: Nobody loves sitting more than I do. Okay, so I 270 00:13:28,920 --> 00:13:31,920 Speaker 3: can easily say I've never had rest guilt. 271 00:13:32,280 --> 00:13:33,839 Speaker 2: I don't know. I think I have rest. 272 00:13:33,880 --> 00:13:36,080 Speaker 3: You have it all the time. You have this need 273 00:13:36,120 --> 00:13:40,559 Speaker 3: to be moving and doing things and outside and being active. 274 00:13:41,760 --> 00:13:43,679 Speaker 2: Let's not waste the day, let's not get out of 275 00:13:43,720 --> 00:13:44,000 Speaker 2: the house. 276 00:13:44,000 --> 00:13:46,800 Speaker 3: I'm like, there's nothing out there that's better than what 277 00:13:46,920 --> 00:13:47,720 Speaker 3: I got in here. 278 00:13:48,400 --> 00:13:51,840 Speaker 1: So most people say that their symptoms will take four 279 00:13:51,960 --> 00:13:56,000 Speaker 1: days to improve, but on average, they only take three 280 00:13:56,120 --> 00:13:59,800 Speaker 1: days to get through it. So they're rushing back to 281 00:14:00,080 --> 00:14:03,360 Speaker 1: work or activity before they should come on. 282 00:14:03,440 --> 00:14:06,320 Speaker 3: You find you take a handful of advillain, rub some 283 00:14:06,360 --> 00:14:08,959 Speaker 3: dirt on it, you'll be fine. Yeah, that's what we do. 284 00:14:09,000 --> 00:14:09,880 Speaker 3: We press forward. 285 00:14:10,240 --> 00:14:13,839 Speaker 1: Okay, So what are the coping and recovering strategies, top 286 00:14:13,880 --> 00:14:19,120 Speaker 1: methods to feel better, sleep, warm showers, nutrient rich foods 287 00:14:19,160 --> 00:14:21,720 Speaker 1: and fluids, and you're over. 288 00:14:21,480 --> 00:14:23,800 Speaker 2: The counter medication. By the way. 289 00:14:24,600 --> 00:14:29,040 Speaker 1: Let's see, many Americans overestimate their health compared to reality. 290 00:14:29,240 --> 00:14:32,240 Speaker 1: Oh what, they think they're healthier than what they actually are. 291 00:14:32,480 --> 00:14:37,040 Speaker 1: That probably tracks Yeah, most people, most people. I'm thin, 292 00:14:37,120 --> 00:14:39,520 Speaker 1: I'm in shape, couldn't do a push up to save 293 00:14:39,600 --> 00:14:40,600 Speaker 1: the lot. 294 00:14:40,720 --> 00:14:42,720 Speaker 3: But I think that tracks with what we were talking about. 295 00:14:42,760 --> 00:14:45,000 Speaker 3: You know, when you're young, you see these old people 296 00:14:45,040 --> 00:14:48,520 Speaker 3: talking about their ailments and maladies and the cheese. That's 297 00:14:48,560 --> 00:14:50,760 Speaker 3: not gonna be me when I get there. I'm young, 298 00:14:50,840 --> 00:14:53,040 Speaker 3: I'm gonna live forever. And I think most of us agreed. 299 00:14:53,120 --> 00:14:55,240 Speaker 3: Like I mean, I still think of myself as being 300 00:14:55,360 --> 00:14:57,760 Speaker 3: like twenty three years old. Uh huh in your mind 301 00:14:57,800 --> 00:15:01,320 Speaker 3: you are, and I'm long long twenty three years old. 302 00:15:01,520 --> 00:15:04,200 Speaker 1: You know what, It's all part of the American grind, right. 303 00:15:04,840 --> 00:15:07,440 Speaker 1: We got to keep working, gotta keep working to pay 304 00:15:07,480 --> 00:15:09,600 Speaker 1: those taxes. Right. 305 00:15:10,440 --> 00:15:14,600 Speaker 3: No, Wow, there's something to be said about that. I 306 00:15:14,600 --> 00:15:17,280 Speaker 3: can also sit here and say, look, we're determined people 307 00:15:17,320 --> 00:15:19,680 Speaker 3: here in this country, and we always push forward to 308 00:15:20,320 --> 00:15:23,440 Speaker 3: and we're always innovating and we're always striving to be 309 00:15:23,440 --> 00:15:26,160 Speaker 3: better and we're always doing more. And yes, there is 310 00:15:26,200 --> 00:15:29,160 Speaker 3: something to be said about about rise and grind, about 311 00:15:29,200 --> 00:15:31,200 Speaker 3: doing the grind and doing the work that it takes 312 00:15:31,240 --> 00:15:33,480 Speaker 3: to get done to get what you want. Now, sometimes 313 00:15:33,480 --> 00:15:35,840 Speaker 3: what you want is more money, a better career, a 314 00:15:35,840 --> 00:15:38,280 Speaker 3: bigger house, and you can rise and grind and do that. 315 00:15:38,600 --> 00:15:41,240 Speaker 3: Some other people want to be able to grind for 316 00:15:41,280 --> 00:15:43,200 Speaker 3: a period of time so that they can retire and 317 00:15:43,200 --> 00:15:43,960 Speaker 3: then not grind. 318 00:15:44,600 --> 00:15:46,120 Speaker 2: Now, I'm still going to blame the government. 319 00:15:46,160 --> 00:15:47,280 Speaker 3: You're still gonna blame the government. 320 00:15:47,320 --> 00:15:47,520 Speaker 1: Fair. 321 00:15:47,560 --> 00:15:50,760 Speaker 3: That's actually fair. Pretty you know what, You never go 322 00:15:50,880 --> 00:15:53,720 Speaker 3: wrong by blaming the government. They're at fault ninety percent 323 00:15:53,760 --> 00:15:55,440 Speaker 3: of the time anyway, so you might as well blame 324 00:15:55,480 --> 00:15:56,160 Speaker 3: them for everything. 325 00:15:56,440 --> 00:16:01,040 Speaker 1: According to this research, they found that workplace policy often 326 00:16:01,120 --> 00:16:05,400 Speaker 1: don't align with how frequently people feel off. 327 00:16:06,640 --> 00:16:10,040 Speaker 2: It is the Kendally case show. It's ninety three WIBC. 328 00:16:18,040 --> 00:16:20,920 Speaker 1: So you're saying, what the betting lines are already coming 329 00:16:20,920 --> 00:16:22,680 Speaker 1: in for next year superotball. 330 00:16:23,040 --> 00:16:27,160 Speaker 3: The confetti hadn't even all fallen into the field last 331 00:16:27,280 --> 00:16:30,320 Speaker 3: night after IU won the national championship, and the betting 332 00:16:30,400 --> 00:16:32,960 Speaker 3: lines for next year already How you can literally make 333 00:16:33,000 --> 00:16:36,680 Speaker 3: these bets Right now, I'm in the DraftKings app and 334 00:16:36,720 --> 00:16:38,480 Speaker 3: looking at the bets you can bet on the futures 335 00:16:38,720 --> 00:16:42,440 Speaker 3: the twenty twenty six twenty seven College Football National Championship. 336 00:16:42,680 --> 00:16:45,440 Speaker 3: The two favorites right now are Ohio State and IU, 337 00:16:45,560 --> 00:16:48,040 Speaker 3: both of them at plus seven hundred, followed very closely 338 00:16:48,240 --> 00:16:50,720 Speaker 3: by Notre Dame and Texas at plus seven fifty. And 339 00:16:50,760 --> 00:16:54,080 Speaker 3: then you've got the usuals Oregon, Georgia, LSU, Texas, tech A, 340 00:16:54,160 --> 00:16:55,000 Speaker 3: and M in Alabama. 341 00:16:55,040 --> 00:16:58,720 Speaker 2: I'm calling bull. They're putting what they're putting, Ohio State 342 00:16:58,800 --> 00:16:59,520 Speaker 2: above IU. 343 00:17:00,000 --> 00:17:01,840 Speaker 3: No, No, they're tied. They're both at the same level, 344 00:17:01,920 --> 00:17:04,640 Speaker 3: so they're both. You bet one hundred dollars to win 345 00:17:04,720 --> 00:17:08,000 Speaker 3: seven hundred dollars for both IU and Ohio State for 346 00:17:08,040 --> 00:17:10,840 Speaker 3: next year, and then really close behind Notre Dame and 347 00:17:10,920 --> 00:17:12,840 Speaker 3: Texas at plus seven fifty to me. 348 00:17:13,119 --> 00:17:16,600 Speaker 2: To me, that's that, that is the people who are 349 00:17:16,640 --> 00:17:22,200 Speaker 2: making this betting line like they're just not believing. Still still, 350 00:17:22,280 --> 00:17:24,520 Speaker 2: they're not believing in the IU program. 351 00:17:24,640 --> 00:17:26,800 Speaker 3: Well, there's a yes, there's a little bit of that, 352 00:17:26,920 --> 00:17:30,240 Speaker 3: and that is that is a huge issue with college football, 353 00:17:30,359 --> 00:17:33,840 Speaker 3: is that people put stock in what you've done the 354 00:17:33,920 --> 00:17:36,199 Speaker 3: last ten years. You know, still people that believe the 355 00:17:36,240 --> 00:17:38,560 Speaker 3: SEC is the best conference in football when clearly it's 356 00:17:38,600 --> 00:17:41,359 Speaker 3: shifted to the Big Ten. But still Alabama and Georgia 357 00:17:41,359 --> 00:17:43,000 Speaker 3: and LSU are going to get lots of love when 358 00:17:43,000 --> 00:17:46,080 Speaker 3: it comes to betting lines. But look, Ohio State, Look, 359 00:17:46,400 --> 00:17:48,520 Speaker 3: I get what Indiana has done and what Signetti has 360 00:17:48,520 --> 00:17:51,639 Speaker 3: done is wonderful and fantastic. Ohio State's been doing that 361 00:17:51,680 --> 00:17:54,320 Speaker 3: for you know, going on two three decades now, and 362 00:17:54,359 --> 00:17:56,920 Speaker 3: so that is going to be a part of the factor. 363 00:17:57,080 --> 00:17:58,920 Speaker 3: It also talks to you a little bit because there's 364 00:17:59,040 --> 00:18:02,360 Speaker 3: you know, these betting lines are set based on what 365 00:18:02,400 --> 00:18:04,080 Speaker 3: they think is going to happen, but there's also a 366 00:18:04,080 --> 00:18:06,480 Speaker 3: little bit of human psychology of that as well, because 367 00:18:06,480 --> 00:18:08,800 Speaker 3: they need people to make these bets. And so yeah, 368 00:18:08,880 --> 00:18:10,720 Speaker 3: more people are going to be likely to bet on 369 00:18:11,359 --> 00:18:13,959 Speaker 3: Notre Dame in Ohio State maybe than just I you, 370 00:18:14,080 --> 00:18:16,399 Speaker 3: even though they just won the national championship. I know 371 00:18:16,440 --> 00:18:19,080 Speaker 3: it sounds counterintuitive. I know it sits here and sounds like, oh, well, 372 00:18:19,160 --> 00:18:19,880 Speaker 3: I you just won. 373 00:18:20,119 --> 00:18:23,119 Speaker 1: Shouldn't mind Spee of the people doing the college football 374 00:18:23,160 --> 00:18:26,719 Speaker 1: playoffs who are putting in Alabama over Notre Dame because 375 00:18:26,760 --> 00:18:30,159 Speaker 1: it's Alabama. Alabama is not the same Alabama that it 376 00:18:30,320 --> 00:18:32,920 Speaker 1: was when Nick Saban was there, but they just can't 377 00:18:33,000 --> 00:18:33,480 Speaker 1: let it go. 378 00:18:33,920 --> 00:18:36,720 Speaker 3: I You winning the national Championship has proved a lot 379 00:18:36,720 --> 00:18:40,520 Speaker 3: of the haters and doubters wrong, but there will still 380 00:18:40,520 --> 00:18:42,679 Speaker 3: be haters and doubters. Look at last night's game. If 381 00:18:42,680 --> 00:18:45,600 Speaker 3: you were watching College Game Day, the pregame show before 382 00:18:45,600 --> 00:18:49,159 Speaker 3: the game started on ESPN yesterday, their panel that was 383 00:18:49,200 --> 00:18:53,199 Speaker 3: making their game picks, every single one except Pat McAfee 384 00:18:53,440 --> 00:18:57,320 Speaker 3: picked Miami to it. IU is favored by seven and 385 00:18:57,359 --> 00:18:59,480 Speaker 3: a half points. Some book makers had him at eight 386 00:18:59,520 --> 00:19:03,040 Speaker 3: eight the he points, and everybody except for Pat McAfee 387 00:19:03,040 --> 00:19:05,719 Speaker 3: took Miami and McAfee was the only one that took 388 00:19:05,760 --> 00:19:10,159 Speaker 3: the Hoosiers. So yes, So while I You had an 389 00:19:10,160 --> 00:19:14,320 Speaker 3: incredible season, magical storylines, national championship, there are still gonna 390 00:19:14,359 --> 00:19:16,040 Speaker 3: be haters and doubters out there, and they'll still be 391 00:19:16,040 --> 00:19:18,200 Speaker 3: people that are like, well, okay, you did it once, 392 00:19:18,640 --> 00:19:20,400 Speaker 3: but you got to do it twice to prove it's 393 00:19:20,440 --> 00:19:22,440 Speaker 3: not a fluke. And until then I'm putting my money 394 00:19:22,440 --> 00:19:24,520 Speaker 3: on you know, Texas, Ohio State and Notre Dame. 395 00:19:25,000 --> 00:19:29,360 Speaker 1: Something that the Indianapolis Symphony did is they recorded the 396 00:19:29,480 --> 00:19:32,880 Speaker 1: IU Fight Song before the game, and it was the 397 00:19:32,920 --> 00:19:35,760 Speaker 1: first time that has ever happened. 398 00:19:35,800 --> 00:19:36,439 Speaker 2: Take a listen. 399 00:19:46,560 --> 00:19:49,840 Speaker 1: So roughly twenty percent of the orchestra members are IU 400 00:19:49,920 --> 00:19:55,800 Speaker 1: alumni or faculty, and the symphony collaborated with different I 401 00:19:55,920 --> 00:20:01,320 Speaker 1: you musicians through fellowships and performances, and I thought it 402 00:20:01,359 --> 00:20:05,000 Speaker 1: was odd that's the first time they ever recorded that. 403 00:20:05,240 --> 00:20:09,080 Speaker 3: Well, there's not been a lot of IU football victories 404 00:20:09,880 --> 00:20:12,080 Speaker 3: to capture the state and capture the nation. I mean, 405 00:20:12,119 --> 00:20:14,000 Speaker 3: they've been a terrible program, so there was not a 406 00:20:14,000 --> 00:20:15,960 Speaker 3: lot of reason, I guess to play the IU Fight 407 00:20:16,040 --> 00:20:18,399 Speaker 3: Song for football reasons. You just think before the. 408 00:20:18,440 --> 00:20:20,919 Speaker 2: Last couple of years tyronics go that they would do that. 409 00:20:21,240 --> 00:20:26,200 Speaker 3: Twenty percent of the entire Indianapolis Symphony is either an 410 00:20:26,240 --> 00:20:30,840 Speaker 3: IU alum or a current staff member at IU. Although 411 00:20:30,840 --> 00:20:32,800 Speaker 3: I guess I shouldn't be that surprised. What did we 412 00:20:32,840 --> 00:20:35,800 Speaker 3: hear throughout this whole college football playoff. IU has the 413 00:20:35,960 --> 00:20:38,840 Speaker 3: largest alumni base in the nation, with over eight hundred 414 00:20:38,880 --> 00:20:40,920 Speaker 3: thousand people, So I guess you could pretty much go 415 00:20:41,000 --> 00:20:43,040 Speaker 3: to any group or organization and find a heck of 416 00:20:43,040 --> 00:20:44,120 Speaker 3: a lot of IU alum. 417 00:20:43,960 --> 00:20:48,040 Speaker 1: There speaking of an IU alum Sunday Morning with the 418 00:20:48,040 --> 00:20:52,360 Speaker 1: CBS Sunday Morning Show, Jane Pauley did a segment and 419 00:20:52,840 --> 00:20:53,360 Speaker 1: I got. 420 00:20:53,160 --> 00:20:56,160 Speaker 2: A little misty eyed watching it. I thought it was good. 421 00:20:56,240 --> 00:20:57,800 Speaker 2: She did a nice job. Check it out. 422 00:20:58,400 --> 00:21:01,960 Speaker 4: I speak of Indiana Universe City, and please make a 423 00:21:02,000 --> 00:21:10,800 Speaker 4: note there is no University of Indiana anywhere, none Indiana University. Okay, 424 00:21:11,560 --> 00:21:12,800 Speaker 4: I am a proud alumna. 425 00:21:13,400 --> 00:21:15,040 Speaker 2: Not only that, I'm. 426 00:21:14,920 --> 00:21:18,400 Speaker 4: A Hoosier five generations on both sides. 427 00:21:20,200 --> 00:21:23,720 Speaker 3: Tux doown tux doown tux Down. 428 00:21:24,359 --> 00:21:28,840 Speaker 4: Now, my Hoosiers have reached the pinnacle, a national championship 429 00:21:28,920 --> 00:21:33,440 Speaker 4: within their grasp. Consider that at the start of this season, 430 00:21:34,080 --> 00:21:37,840 Speaker 4: Indiana held the record for the most losses by any 431 00:21:37,960 --> 00:21:39,480 Speaker 4: college football program. 432 00:21:39,960 --> 00:21:43,040 Speaker 3: Woo. 433 00:21:43,320 --> 00:21:46,120 Speaker 4: That's the kind of story we Hoosiers can get behind, 434 00:21:46,960 --> 00:21:49,200 Speaker 4: a come from behind, underdog story. 435 00:21:49,840 --> 00:21:52,320 Speaker 2: Jane poly was the class of nineteen seventy two. 436 00:21:52,720 --> 00:21:56,920 Speaker 3: Who's cutting onions. I'm not crying. You're crying the entire 437 00:21:57,040 --> 00:22:00,199 Speaker 3: state misty eyed over the last twenty four hours, and 438 00:22:00,240 --> 00:22:02,880 Speaker 3: that'll probably go for another couple of days as well. 439 00:22:02,960 --> 00:22:05,800 Speaker 3: But look, I love CBS Sunday Morning. There's something comforting 440 00:22:05,840 --> 00:22:09,040 Speaker 3: about that show. To hear that iconic horn music that 441 00:22:09,119 --> 00:22:11,720 Speaker 3: they play the trumpets that it's been so iconic as 442 00:22:11,760 --> 00:22:14,399 Speaker 3: part of CBS Sunday Morning. And yeah, that was a 443 00:22:14,440 --> 00:22:16,840 Speaker 3: great feature out there. It's all over Twitter. You can 444 00:22:16,880 --> 00:22:19,520 Speaker 3: find it pretty easily. That Jane Pauley piece from Over 445 00:22:19,520 --> 00:22:23,600 Speaker 3: the Weekend, which interestingly enough aired and was recorded before 446 00:22:23,640 --> 00:22:26,120 Speaker 3: the game last night and ended up being prophetic because 447 00:22:26,119 --> 00:22:27,600 Speaker 3: they ended up winning it at all. It was great. 448 00:22:27,840 --> 00:22:30,040 Speaker 2: This is the Kendall and Casey Show. It is ninety 449 00:22:30,040 --> 00:22:39,720 Speaker 2: three WYBC. So you've got the new eight people, is 450 00:22:39,760 --> 00:22:40,280 Speaker 2: that Jack? 451 00:22:40,359 --> 00:22:40,560 Speaker 5: Yeah? 452 00:22:40,600 --> 00:22:43,360 Speaker 3: Yeah, yeah, So the breaking news, breaking college football news, 453 00:22:43,359 --> 00:22:45,199 Speaker 3: and I'm not talking about the win last night. The 454 00:22:45,359 --> 00:22:49,560 Speaker 3: final Associated Press Top twenty five college football poll literally 455 00:22:49,760 --> 00:22:52,119 Speaker 3: just came out like in the last five or ten minutes. 456 00:22:52,320 --> 00:22:55,399 Speaker 3: So obviously IU was number one. Number two was University 457 00:22:55,440 --> 00:22:57,880 Speaker 3: of Miami bit of a surprise. Number three was Old 458 00:22:57,920 --> 00:23:02,359 Speaker 3: missty Dotty, followed by Oregon at four, Ohio State at five. 459 00:23:02,440 --> 00:23:04,879 Speaker 3: The rest of the top ten in order are Georgia, 460 00:23:05,080 --> 00:23:07,800 Speaker 3: Texas Tech, Texas A and m Alabama and Notre Dame 461 00:23:07,920 --> 00:23:10,160 Speaker 3: rounds out the top ten, coming in at number ten. 462 00:23:10,400 --> 00:23:14,040 Speaker 3: In your final Associated Press College Football poll of the season. 463 00:23:14,119 --> 00:23:14,600 Speaker 3: You see the. 464 00:23:14,560 --> 00:23:18,880 Speaker 1: White House put out hype video for the national Championship game. 465 00:23:19,280 --> 00:23:21,960 Speaker 3: I actually didn't see that the White I haven't seen 466 00:23:21,960 --> 00:23:23,920 Speaker 3: it yet. So the White House does an amazing job 467 00:23:23,960 --> 00:23:26,800 Speaker 3: on their content. If you follow especially the White House 468 00:23:26,800 --> 00:23:29,280 Speaker 3: TikTok account, it's just spectacular what they're doing. 469 00:23:29,280 --> 00:23:29,760 Speaker 2: Pretty good. 470 00:23:30,000 --> 00:23:32,960 Speaker 1: Yeah, they put this out. They said, months of preparation 471 00:23:33,080 --> 00:23:36,600 Speaker 1: and resolve one defining moment a time, hodurn American tradition. 472 00:23:37,119 --> 00:23:37,640 Speaker 2: Let's go. 473 00:23:38,240 --> 00:23:41,159 Speaker 3: We got one more four quarter battle to decide a 474 00:23:41,280 --> 00:23:45,679 Speaker 3: national champion. Indiana Miami, the Hoosiers versus the Hurricanes. This 475 00:23:45,720 --> 00:23:48,280 Speaker 3: is the biggest game of everyone's life. Indiana has seen 476 00:23:48,320 --> 00:23:50,840 Speaker 3: the best, they have beaten the best, but Miami is 477 00:23:50,880 --> 00:23:52,120 Speaker 3: not afraid of Indiana. 478 00:23:52,280 --> 00:23:53,640 Speaker 6: I think this is gonna be one of the best 479 00:23:53,720 --> 00:23:56,040 Speaker 6: National Championship games that we've seen in a long time. 480 00:23:56,119 --> 00:23:58,280 Speaker 3: President trumpet Secretary of State Marco Rubi are said to 481 00:23:58,320 --> 00:24:01,080 Speaker 3: attend the College Football Playoff champion chip in Miami. This 482 00:24:01,119 --> 00:24:03,359 Speaker 3: will be the third time the President has attended the 483 00:24:03,440 --> 00:24:06,040 Speaker 3: championship game. This is gonna be South. 484 00:24:05,760 --> 00:24:07,280 Speaker 5: Beach at his clinist. 485 00:24:08,200 --> 00:24:10,600 Speaker 1: The amazing thing about the video is that there are 486 00:24:10,680 --> 00:24:14,280 Speaker 1: a lot of shots of Donald Trump. Well, look, okay, 487 00:24:14,280 --> 00:24:16,280 Speaker 1: so let's it was put up of the White House. 488 00:24:16,760 --> 00:24:19,639 Speaker 3: But let's look at this from a purely political perspective 489 00:24:19,760 --> 00:24:23,159 Speaker 3: and a marketing perspective. Donald Trump has done an incredible 490 00:24:23,240 --> 00:24:23,720 Speaker 3: job of. 491 00:24:23,680 --> 00:24:25,560 Speaker 2: Injecting himself into any event. 492 00:24:25,760 --> 00:24:28,040 Speaker 3: Absolutely, and some people will be like, what's Trump doing there? 493 00:24:28,080 --> 00:24:29,919 Speaker 3: That stinks? He shouldn't be there. It's bad for the 494 00:24:29,920 --> 00:24:31,600 Speaker 3: people that are attending because now you're gonna have all 495 00:24:31,640 --> 00:24:34,560 Speaker 3: this extra security going into the stadium. But Trump's not 496 00:24:34,600 --> 00:24:37,120 Speaker 3: an idiot. He knows people in this country love sports, 497 00:24:37,400 --> 00:24:39,560 Speaker 3: and so why not put him as part of that. 498 00:24:39,600 --> 00:24:42,280 Speaker 3: You know, there's the famous shot of Donald Trump when 499 00:24:42,280 --> 00:24:45,120 Speaker 3: he was at the Daytona five hundred and the presidential 500 00:24:45,160 --> 00:24:48,239 Speaker 3: limo the Beast drove around the track, right, I mean, 501 00:24:48,280 --> 00:24:50,480 Speaker 3: an incredible scene. And he goes to these sporting events 502 00:24:50,480 --> 00:24:53,040 Speaker 3: and the uh you know him holding up the you know, 503 00:24:53,119 --> 00:24:55,159 Speaker 3: the trophy at the at the recent you know, soccer 504 00:24:55,200 --> 00:24:59,119 Speaker 3: event that took place. Just he's a smart political and 505 00:24:59,359 --> 00:25:01,840 Speaker 3: one of the most brilliant marketers that we've ever seen. 506 00:25:02,080 --> 00:25:05,240 Speaker 3: Of course, he's going to inject himself into sports. We 507 00:25:05,320 --> 00:25:07,680 Speaker 3: love sports, and if Trump can ride those coattails a 508 00:25:07,720 --> 00:25:09,199 Speaker 3: little bit. You bet he's going to do it. 509 00:25:09,600 --> 00:25:12,159 Speaker 1: Something that's going on at the Indiana State House this 510 00:25:12,240 --> 00:25:16,840 Speaker 1: week Annual Cancer Action Day that's happening Wednesday from nine 511 00:25:16,920 --> 00:25:20,600 Speaker 1: until two, and they're going to have fifty cancer survivors 512 00:25:20,640 --> 00:25:22,680 Speaker 1: and advocates from across. 513 00:25:22,200 --> 00:25:23,160 Speaker 2: Indiana be there. 514 00:25:23,160 --> 00:25:27,080 Speaker 1: It's being organized by the American Cancer Society, Cancer Action 515 00:25:27,320 --> 00:25:31,879 Speaker 1: Network and also the Blood Cancer United and the purpose 516 00:25:31,920 --> 00:25:35,280 Speaker 1: of the event is to urge lawmakers to pass legislation 517 00:25:35,359 --> 00:25:39,720 Speaker 1: preventing Hoosiers from facing crippling medical debt. And it will 518 00:25:39,760 --> 00:25:45,159 Speaker 1: also highlight the personal financial toll of a cancer diagnosis. 519 00:25:45,359 --> 00:25:49,520 Speaker 1: And this cold does align with what Governor Brawn had 520 00:25:49,560 --> 00:25:52,720 Speaker 1: mentioned in his State of the State address in regards 521 00:25:52,760 --> 00:25:56,440 Speaker 1: to transparency and healthcare well, and this. 522 00:25:56,400 --> 00:25:58,479 Speaker 3: Is a total callback to something we talked about earlier 523 00:25:58,480 --> 00:26:00,480 Speaker 3: in the show with that ball State Service that just 524 00:26:00,520 --> 00:26:03,879 Speaker 3: came out and the things that concern Hoosier's the most. 525 00:26:03,920 --> 00:26:05,879 Speaker 3: And you know, they went through the normal litany of 526 00:26:05,960 --> 00:26:07,880 Speaker 3: things that people are interested in, like you know, safe 527 00:26:07,880 --> 00:26:10,400 Speaker 3: streets and public roads and low taxes, but by far 528 00:26:10,440 --> 00:26:12,800 Speaker 3: and away, the number one things that people in this 529 00:26:13,080 --> 00:26:15,359 Speaker 3: state are worried about are affordable healthcare. And so This 530 00:26:15,560 --> 00:26:17,879 Speaker 3: absolutely tracks with that, and so I'm not a surprise 531 00:26:17,960 --> 00:26:19,840 Speaker 3: that you're seeing some lobbying on that happening at the 532 00:26:19,840 --> 00:26:20,720 Speaker 3: State House right now. 533 00:26:20,960 --> 00:26:23,679 Speaker 1: Now, if you were to ask former First Lady Michelle 534 00:26:23,720 --> 00:26:27,439 Speaker 1: Obama what the one thing is on everyone's mind, she 535 00:26:27,560 --> 00:26:32,600 Speaker 1: would tell you that it is only buying clothes depend 536 00:26:32,720 --> 00:26:35,480 Speaker 1: on the race of the designer. 537 00:26:36,680 --> 00:26:39,800 Speaker 3: Yeah. Look, Michelle Obama has had some god awful takes 538 00:26:39,880 --> 00:26:42,440 Speaker 3: over her time in public life. And let's keep in 539 00:26:42,480 --> 00:26:45,080 Speaker 3: mind and remember Michelle Obama hates fat people. She was 540 00:26:45,119 --> 00:26:49,280 Speaker 3: the one that instituted all those dracone and nutritional requirements 541 00:26:49,280 --> 00:26:53,960 Speaker 3: for school lunches nationally that students revolted against. And now 542 00:26:54,000 --> 00:26:56,720 Speaker 3: another god awful take from her. Hey, when she when 543 00:26:56,760 --> 00:27:02,000 Speaker 3: she makes her purchasing decisions, then you know, quality, the price, affordability, 544 00:27:02,560 --> 00:27:04,880 Speaker 3: none of those things are a factor. The only thing 545 00:27:04,920 --> 00:27:08,200 Speaker 3: that matter is what is the race of the company 546 00:27:08,240 --> 00:27:09,400 Speaker 3: and the manufacturer. 547 00:27:09,560 --> 00:27:10,240 Speaker 2: Listen to this. 548 00:27:11,240 --> 00:27:14,760 Speaker 5: If I hear of someone who's fashion that I like 549 00:27:14,800 --> 00:27:16,840 Speaker 5: and I know that they're a person of color, I 550 00:27:17,000 --> 00:27:20,119 Speaker 5: try to make it a point, but the clothes have 551 00:27:20,160 --> 00:27:22,880 Speaker 5: to be available, you know. I think we can all 552 00:27:22,920 --> 00:27:27,000 Speaker 5: do some more to think about that balance in our wardrobes. 553 00:27:27,359 --> 00:27:30,320 Speaker 5: You know, what does our closet look like? And who's 554 00:27:30,359 --> 00:27:34,439 Speaker 5: in it? Who are we supporting in it? You know? 555 00:27:34,640 --> 00:27:36,959 Speaker 5: And I think if you have the money to buy Chanel, 556 00:27:37,720 --> 00:27:41,800 Speaker 5: then you have the money to buy everybody. And so 557 00:27:42,560 --> 00:27:45,760 Speaker 5: let us be mindful, I think would be my advice. 558 00:27:46,840 --> 00:27:49,960 Speaker 1: Imagine if I were to say something like that, you'd 559 00:27:49,960 --> 00:27:51,719 Speaker 1: be called a terrible person. 560 00:27:51,880 --> 00:27:55,719 Speaker 3: Yeah, I couldn't even tell you. Hey, what was the 561 00:27:55,800 --> 00:27:59,280 Speaker 3: race of the person that manufactured that lovely shirt that 562 00:27:59,280 --> 00:28:00,000 Speaker 3: you're wearing today? 563 00:28:00,400 --> 00:28:03,320 Speaker 2: This thing from old Navy that. 564 00:28:03,400 --> 00:28:08,720 Speaker 3: Was probably manufactured in Taiwan or Vietnam or some overseas 565 00:28:08,760 --> 00:28:09,600 Speaker 3: Asian location. 566 00:28:09,760 --> 00:28:13,040 Speaker 1: But imagine, imagine Malania Trump though saying that she has 567 00:28:13,119 --> 00:28:16,600 Speaker 1: to be mindful to try to avoid black owned brands. 568 00:28:16,840 --> 00:28:20,200 Speaker 3: This is the epitome of everything the Obama stood for. 569 00:28:20,320 --> 00:28:22,800 Speaker 3: It was all about virtue signaling, and it was all 570 00:28:22,840 --> 00:28:26,480 Speaker 3: about identity politics, and it was all about race first. 571 00:28:26,480 --> 00:28:29,679 Speaker 3: Donald Trump's about America first. We know what Obama. Obama 572 00:28:29,800 --> 00:28:34,600 Speaker 3: was about race first and identity politics, politics first with everything, 573 00:28:34,800 --> 00:28:38,000 Speaker 3: And that's obviously something they still believe in because Michelle 574 00:28:38,000 --> 00:28:39,560 Speaker 3: Obama just said that over the weekend. 575 00:28:39,840 --> 00:28:42,120 Speaker 1: Well, and another thing that she mentioned in that clip 576 00:28:42,200 --> 00:28:45,840 Speaker 1: is if you can afford Chanel, Oh, guess what? 577 00:28:46,040 --> 00:28:46,920 Speaker 3: Who are you talking to you? 578 00:28:47,640 --> 00:28:47,840 Speaker 1: Yeah? 579 00:28:48,080 --> 00:28:52,240 Speaker 3: Exactly talking to what an elitist thing to say to 580 00:28:52,280 --> 00:28:54,960 Speaker 3: sit there and assume that people listening to you. You're 581 00:28:54,960 --> 00:28:58,360 Speaker 3: the former first lady and that everybody listens. Well, if 582 00:28:58,400 --> 00:29:01,360 Speaker 3: you can afford Chanelle, I don't have any Chanelle. 583 00:29:01,560 --> 00:29:02,959 Speaker 2: Guess what are you can't? 584 00:29:03,720 --> 00:29:06,400 Speaker 3: My T shirt's Old Navy too. I think I bought 585 00:29:06,440 --> 00:29:09,080 Speaker 3: the belt I'm wearing for twenty dollars on Amazon. 586 00:29:09,200 --> 00:29:11,520 Speaker 1: That's a large tall By the ways, why do we 587 00:29:11,560 --> 00:29:12,240 Speaker 1: get those online? 588 00:29:12,400 --> 00:29:14,360 Speaker 3: Why? I shop at Old Navy's website because I'm a 589 00:29:14,360 --> 00:29:16,600 Speaker 3: tall guy, so I needed big and tall stuff from them. 590 00:29:17,280 --> 00:29:19,520 Speaker 2: Something else that I wanted to share with you. Dana White, 591 00:29:19,560 --> 00:29:21,000 Speaker 2: he was at the game last night. 592 00:29:21,040 --> 00:29:23,800 Speaker 1: He was talking with Donald Trump. By the way, Donald 593 00:29:23,800 --> 00:29:26,640 Speaker 1: Trump not getting a lot of FaceTime during the broadcast 594 00:29:26,720 --> 00:29:28,120 Speaker 1: at the game. 595 00:29:28,400 --> 00:29:31,160 Speaker 3: Yeah, there was more talk of him in the lead 596 00:29:31,240 --> 00:29:32,720 Speaker 3: up to the game that he was going to be 597 00:29:32,760 --> 00:29:35,600 Speaker 3: there than there was actually camera time. I only caught 598 00:29:35,760 --> 00:29:37,920 Speaker 3: one shot of Donald Trump, and that was during the 599 00:29:37,960 --> 00:29:40,920 Speaker 3: pregame in the national anthem. Yeah, the cameras went to 600 00:29:41,040 --> 00:29:42,840 Speaker 3: him and he was shown on the jumbo tron in 601 00:29:42,880 --> 00:29:45,560 Speaker 3: the stadium, huge roar from the crowd. It was definitely 602 00:29:45,600 --> 00:29:48,800 Speaker 3: a pro Trump crowd, which tracks college football fans probably 603 00:29:48,800 --> 00:29:51,160 Speaker 3: going to lean more to be pro Trump. But yeah, 604 00:29:51,200 --> 00:29:53,840 Speaker 3: he was had very little screen time during the game 605 00:29:53,920 --> 00:29:54,360 Speaker 3: last night. 606 00:29:54,440 --> 00:29:56,800 Speaker 1: Dana White was there and they were talking when they 607 00:29:56,800 --> 00:30:01,000 Speaker 1: were up there in the suite. But from a different time, 608 00:30:01,400 --> 00:30:04,080 Speaker 1: here's Dana White saying that he can't stand soccer. 609 00:30:04,640 --> 00:30:08,560 Speaker 6: Soccer, hold another ball game. Can't stand soccer. I think 610 00:30:08,560 --> 00:30:10,920 Speaker 6: that it's the least talent to sport on Earth. There's 611 00:30:10,960 --> 00:30:14,080 Speaker 6: a reason three year olds can play soccer. Okay, you 612 00:30:14,240 --> 00:30:16,440 Speaker 6: run around to kick a ball. Yeah, Landsberg said, you 613 00:30:16,440 --> 00:30:18,280 Speaker 6: wouldn't say that if you were in Brazil. I said, dude, 614 00:30:18,320 --> 00:30:21,120 Speaker 6: I say this in every country. Every when you're playing 615 00:30:21,160 --> 00:30:24,239 Speaker 6: a game where the net is this big, right and 616 00:30:24,280 --> 00:30:27,800 Speaker 6: the score is three to one, are you me right now? 617 00:30:27,920 --> 00:30:28,480 Speaker 4: That's a blow up? 618 00:30:28,560 --> 00:30:29,000 Speaker 5: Do you know how? 619 00:30:29,160 --> 00:30:31,520 Speaker 6: Yeah? You know, untalented, you have to beat a score 620 00:30:31,560 --> 00:30:34,200 Speaker 6: three points when the nut is this big three to one. 621 00:30:34,240 --> 00:30:35,800 Speaker 3: That's a high scoring soccer high. 622 00:30:36,400 --> 00:30:38,320 Speaker 1: If they just got rid of the off sides rule 623 00:30:38,640 --> 00:30:40,960 Speaker 1: in soccer, it would be a much higher scoring. 624 00:30:41,160 --> 00:30:42,960 Speaker 3: And I think they should do that, coach keeping my data. 625 00:30:42,960 --> 00:30:46,560 Speaker 3: White is the president of UFC, so he's obviously competing 626 00:30:46,600 --> 00:30:49,800 Speaker 3: for people's attention with soccer. And you promised me. You 627 00:30:49,840 --> 00:30:53,640 Speaker 3: told me that we could go see the UFC fight 628 00:30:53,680 --> 00:30:56,240 Speaker 3: at the White House this summer. So that's part of 629 00:30:56,240 --> 00:30:58,880 Speaker 3: the America two fifty celebration. We had this conversation on 630 00:30:58,920 --> 00:31:00,680 Speaker 3: the air. I can pull off. I can pull the 631 00:31:00,720 --> 00:31:02,480 Speaker 3: receipts if I have to. I can go back to 632 00:31:02,480 --> 00:31:04,400 Speaker 3: the show when I was filling in in December. We 633 00:31:04,400 --> 00:31:06,880 Speaker 3: can talk about this. We are gonna go see the 634 00:31:07,000 --> 00:31:09,360 Speaker 3: US Sea Fight on the lawn of the Lighthouse this 635 00:31:09,360 --> 00:31:12,120 Speaker 3: summer going We'll figure it out. That's details later, but 636 00:31:12,120 --> 00:31:13,160 Speaker 3: we're gonna go see USC. 637 00:31:13,680 --> 00:31:15,880 Speaker 1: Thing I think Daana White is not giving credit to 638 00:31:15,920 --> 00:31:20,160 Speaker 1: the soccer players for is the amount of cardio they do, 639 00:31:20,520 --> 00:31:22,400 Speaker 1: all that running up and down. 640 00:31:22,680 --> 00:31:24,760 Speaker 3: What are we trying to be the best at exercising? 641 00:31:24,920 --> 00:31:27,040 Speaker 3: That's not what the game is about running around. I 642 00:31:27,040 --> 00:31:28,640 Speaker 3: don't care if guys to run around or they got 643 00:31:28,680 --> 00:31:31,320 Speaker 3: great cardio. The name of the game, or at least 644 00:31:31,320 --> 00:31:33,640 Speaker 3: most games, is to score. Not a lot of scoring 645 00:31:33,680 --> 00:31:36,080 Speaker 3: in soccer. I think Dana White, especially for people here 646 00:31:36,120 --> 00:31:39,360 Speaker 3: in this country share his sentiment that soccer is a 647 00:31:39,440 --> 00:31:40,200 Speaker 3: lesser sport. 648 00:31:40,320 --> 00:31:42,360 Speaker 1: Oh come on, now, it does take a lot of energy. 649 00:31:42,400 --> 00:31:46,959 Speaker 1: Speaking of energy, most Americans say that they feel a 650 00:31:47,120 --> 00:31:52,080 Speaker 1: slump at exactly two six pm every single day. 651 00:31:53,640 --> 00:31:55,960 Speaker 3: That absolutely tracks with my body clock. 652 00:31:56,240 --> 00:31:56,480 Speaker 1: Yeah. 653 00:31:56,760 --> 00:31:59,400 Speaker 3: No, that's so funny that that's it, because it's seriously 654 00:31:59,400 --> 00:32:02,560 Speaker 3: at two o'clock every day, that's when I'm debating whether 655 00:32:02,600 --> 00:32:04,480 Speaker 3: I need to go grab a red Bull or another 656 00:32:04,520 --> 00:32:06,480 Speaker 3: cup of coffee to finish out my day. 657 00:32:06,720 --> 00:32:09,920 Speaker 1: I can't imagine that they can pinpoint it to exactly 658 00:32:10,000 --> 00:32:14,720 Speaker 1: two six. So if you're feeling that like post lunch slump, 659 00:32:15,080 --> 00:32:16,720 Speaker 1: that sugar crash. 660 00:32:16,680 --> 00:32:18,520 Speaker 2: That's when it's going to hit you at two o six. 661 00:32:18,640 --> 00:32:21,280 Speaker 3: You mean, I'm not supposed to have an entire plate 662 00:32:21,320 --> 00:32:23,600 Speaker 3: full of carbs for lunch and expect to have great 663 00:32:23,720 --> 00:32:26,120 Speaker 3: energy the rest of the day. That doesn't work. What 664 00:32:26,160 --> 00:32:27,720 Speaker 3: am I supposed to eat If it's not a plate 665 00:32:27,720 --> 00:32:29,280 Speaker 3: full of carbs? How can I have lunch? 666 00:32:29,680 --> 00:32:31,640 Speaker 2: Greens, fruits and vegetables. 667 00:32:32,080 --> 00:32:35,360 Speaker 1: This is the Kendall and Casey Show. It's ninety three WIBC. 668 00:32:40,680 --> 00:32:44,880 Speaker 2: They are larger than life characters and they hide their identity. 669 00:32:45,720 --> 00:32:46,600 Speaker 2: We don't know. 670 00:32:46,520 --> 00:32:49,920 Speaker 1: Who they are, but they interact with us all the time. 671 00:32:50,000 --> 00:32:53,680 Speaker 1: I'm talking about mascots, you know, the ones behind the scenes. 672 00:32:53,720 --> 00:32:58,600 Speaker 1: They're not like cheerleaders, they're not halftime performers, but they 673 00:32:58,680 --> 00:33:01,880 Speaker 1: represent a team identity and they often add to the 674 00:33:01,880 --> 00:33:06,280 Speaker 1: game day experienced mascot NFL mascots, And there was a 675 00:33:06,280 --> 00:33:09,720 Speaker 1: new article that came out that revealed how much they 676 00:33:09,720 --> 00:33:10,320 Speaker 1: get paid. 677 00:33:10,440 --> 00:33:12,960 Speaker 3: And this is the headline. I love everything about this, 678 00:33:12,960 --> 00:33:16,400 Speaker 3: This is the headline of the article. Finally, NFL mascot 679 00:33:16,520 --> 00:33:22,120 Speaker 3: salaries revealed. Finally, somebody put you know what investigative journalism, Sure, 680 00:33:22,520 --> 00:33:26,080 Speaker 3: uncovering waste, fraud and abuse and corruption, but let's put 681 00:33:26,120 --> 00:33:28,880 Speaker 3: all of that on hold and let's do this investigation 682 00:33:28,960 --> 00:33:33,160 Speaker 3: into how much NFL mascots are paid. Somebody finally doing 683 00:33:33,400 --> 00:33:34,600 Speaker 3: the work that needed to be done. 684 00:33:34,720 --> 00:33:37,000 Speaker 2: Are you a little curious to know how much those guys? Oh? 685 00:33:37,080 --> 00:33:38,760 Speaker 3: No, I love that. I'm making fun of the article 686 00:33:38,800 --> 00:33:40,480 Speaker 3: because they make it sound like this is something that's 687 00:33:40,520 --> 00:33:45,320 Speaker 3: been you know, top secret investigator, you know, type conspiracy 688 00:33:45,360 --> 00:33:48,240 Speaker 3: and hidden information. No, but of course I love NFL 689 00:33:48,280 --> 00:33:50,560 Speaker 3: mascots and it was very fascinating to see how much 690 00:33:50,600 --> 00:33:53,200 Speaker 3: they get paid spoiler alert, not as much as you 691 00:33:53,280 --> 00:33:53,680 Speaker 3: might think. 692 00:33:53,720 --> 00:33:54,480 Speaker 2: Not very much. 693 00:33:54,600 --> 00:33:58,240 Speaker 1: So the typical the average is around sixty grand a year. 694 00:33:58,640 --> 00:34:01,320 Speaker 1: There are the higher paid mascots and then there are 695 00:34:01,360 --> 00:34:02,600 Speaker 1: the lower paid mascots. 696 00:34:02,680 --> 00:34:05,040 Speaker 2: So let's start with the highest paid mascots. 697 00:34:05,480 --> 00:34:09,719 Speaker 1: Rowdy who is the Dallas Cowboys mascot, makes sixty five 698 00:34:09,760 --> 00:34:12,920 Speaker 1: grand a year. And Pat Patriot who is the New 699 00:34:12,960 --> 00:34:16,400 Speaker 1: England Patriot. He makes sixty five grand a year as well. 700 00:34:16,760 --> 00:34:20,680 Speaker 1: Then you've got the sixty thousand dollars level guys. And 701 00:34:21,160 --> 00:34:23,279 Speaker 1: some of these names are hilarious. 702 00:34:23,440 --> 00:34:25,200 Speaker 3: Oh that's part of some of the best part. I 703 00:34:25,200 --> 00:34:27,719 Speaker 3: didn't realize all the names of these NFL mascots. 704 00:34:27,760 --> 00:34:30,640 Speaker 2: Sourdough Sam from the San Francisco forty nine. 705 00:34:30,760 --> 00:34:33,760 Speaker 3: What a great name if you're from San Francisco, sourdough. 706 00:34:34,040 --> 00:34:37,480 Speaker 3: That's for sourdough. Totally get it. It makes sense in 707 00:34:37,520 --> 00:34:38,879 Speaker 3: what a great mascot name. 708 00:34:38,880 --> 00:34:42,120 Speaker 1: Sourdough Sam. He makes sixty grand a year. Toro from 709 00:34:42,200 --> 00:34:44,760 Speaker 1: the Texans sixty grand. 710 00:34:45,040 --> 00:34:46,960 Speaker 2: Staley de Beer de. 711 00:34:46,960 --> 00:34:50,200 Speaker 3: Beer Staley de Bear de Bear is the Chicago no 712 00:34:50,320 --> 00:34:53,600 Speaker 3: Idea mascot. He's not all that popular, okay, Well. 713 00:34:53,400 --> 00:34:56,480 Speaker 1: He makes sixty grand a year. Swoop from the Eagles. 714 00:34:56,520 --> 00:34:59,960 Speaker 1: Also sixty miles from the Denver Broncos. 715 00:35:00,080 --> 00:35:00,840 Speaker 2: That's kind of funny. 716 00:35:01,000 --> 00:35:03,560 Speaker 3: Oh yeah, mile High Stadium, miles. 717 00:35:03,960 --> 00:35:07,839 Speaker 1: Yeah. I like this one from the Baltimore Ravens. The 718 00:35:07,880 --> 00:35:09,560 Speaker 1: mascot's name is po Yeah. 719 00:35:09,560 --> 00:35:11,319 Speaker 3: And for those of you that don't know Edgar Allen, 720 00:35:11,360 --> 00:35:14,279 Speaker 3: Poe is from Baltimore, and that's why they named it 721 00:35:14,640 --> 00:35:17,920 Speaker 3: the team the Ravens off of his famous poem the 722 00:35:18,000 --> 00:35:20,560 Speaker 3: Raven And so for the mascot to be called Poe 723 00:35:20,680 --> 00:35:23,080 Speaker 3: is just kind of all that. 724 00:35:23,160 --> 00:35:25,560 Speaker 2: I love that he makes sixty grand a year. 725 00:35:25,920 --> 00:35:30,680 Speaker 1: Steally mcbeam from the Steelers, also sixty grand. All right, 726 00:35:30,760 --> 00:35:34,080 Speaker 1: and then you get into the lower paid mascots, and guess. 727 00:35:33,800 --> 00:35:37,319 Speaker 3: What are guys in there? Blue Blue one of the 728 00:35:37,320 --> 00:35:38,600 Speaker 3: lower paid mascots in the. 729 00:35:38,560 --> 00:35:40,520 Speaker 2: League, making fifty grand a year. 730 00:35:40,640 --> 00:35:44,319 Speaker 3: I will say this, Blue is easily the most underrated 731 00:35:44,480 --> 00:35:45,560 Speaker 3: NFL mess. 732 00:35:45,600 --> 00:35:48,640 Speaker 1: He wins all the awards for best mascots all the time. 733 00:35:48,600 --> 00:35:51,560 Speaker 3: So entertaining. If you don't follow that account his accounts 734 00:35:51,600 --> 00:35:55,800 Speaker 3: on social media, Blue is easily the most underrated NFL mascot. 735 00:35:56,080 --> 00:35:59,520 Speaker 2: The Jets, the Packers, the Giants, and the chargers. They 736 00:35:59,520 --> 00:36:00,560 Speaker 2: don't have mascot. 737 00:36:00,680 --> 00:36:02,680 Speaker 3: What are we doing? Why are we even doing this 738 00:36:02,719 --> 00:36:03,840 Speaker 3: if we don't have mascots. 739 00:36:04,280 --> 00:36:07,200 Speaker 2: Thank you, Jim, Thank you Kevin, Thank you for listening today. 740 00:36:07,640 --> 00:36:10,719 Speaker 2: This has been the Kendally Casey Show. It's ninety three 741 00:36:10,800 --> 00:36:11,759 Speaker 2: w ib C.