1
00:00:00,080 --> 00:00:01,840
Speaker 1: So what do I always say, it's better to get

2
00:00:01,880 --> 00:00:03,600
Speaker 1: there safely then quickly.

3
00:00:04,000 --> 00:00:06,680
Speaker 2: You do say that to me a lot every.

4
00:00:06,519 --> 00:00:09,280
Speaker 1: Time you leave to go across the country to visit

5
00:00:09,360 --> 00:00:12,000
Speaker 1: our daughter. I say, now, remember it's better to get

6
00:00:12,000 --> 00:00:13,680
Speaker 1: there safely then quickly.

7
00:00:13,920 --> 00:00:15,760
Speaker 2: My response is why not? Both?

8
00:00:15,920 --> 00:00:19,800
Speaker 1: Yeah? It is. It is the Kendall and Casey show.

9
00:00:19,880 --> 00:00:21,759
Speaker 1: Rob is out today, and that is Jim who is

10
00:00:21,800 --> 00:00:24,480
Speaker 1: filling in. My name is Casey. We're glad you're joining

11
00:00:24,560 --> 00:00:25,040
Speaker 1: us today.

12
00:00:25,239 --> 00:00:28,280
Speaker 3: Hey, I know one of us has gotten a speeding

13
00:00:28,280 --> 00:00:30,520
Speaker 3: ticket recently and the other has it.

14
00:00:31,720 --> 00:00:32,240
Speaker 2: Keep that done?

15
00:00:32,360 --> 00:00:34,559
Speaker 1: Yeah that was me. Yeah, I know guilty. And you

16
00:00:34,600 --> 00:00:37,360
Speaker 1: know what the thing about that ticket is it came

17
00:00:37,400 --> 00:00:37,800
Speaker 1: in the mail.

18
00:00:38,240 --> 00:00:39,320
Speaker 2: Yeah, because a camera.

19
00:00:39,520 --> 00:00:42,520
Speaker 1: It was a camera and it was in another state.

20
00:00:43,200 --> 00:00:45,800
Speaker 1: And I felt very surveilled.

21
00:00:46,440 --> 00:00:47,279
Speaker 2: You were surveiled.

22
00:00:47,400 --> 00:00:50,080
Speaker 1: I was very like a big brother was watching me

23
00:00:50,760 --> 00:00:53,640
Speaker 1: and took a picture of my car and then sent

24
00:00:53,720 --> 00:00:54,720
Speaker 1: me a speeding down.

25
00:00:54,760 --> 00:00:57,520
Speaker 3: Two weeks later, no idea that it happened in the moment.

26
00:00:57,520 --> 00:00:59,440
Speaker 3: Two weeks later, I get it in the mail and

27
00:00:59,480 --> 00:01:00,920
Speaker 3: it's speeding ticket.

28
00:01:00,680 --> 00:01:04,240
Speaker 1: One hundred and twenty dollars. Ye, yeah, so but it's paid.

29
00:01:04,760 --> 00:01:08,800
Speaker 1: I paid it, so hopefully that's behind me. Isn't that?

30
00:01:09,120 --> 00:01:11,319
Speaker 1: I mean, isn't that something? I'm the one who says

31
00:01:11,360 --> 00:01:13,679
Speaker 1: it's better to get there safely then quickly.

32
00:01:13,840 --> 00:01:15,360
Speaker 2: And you get the speeding and I get this.

33
00:01:15,480 --> 00:01:18,680
Speaker 3: That is u Yeah, that's that's that's uh, that's the

34
00:01:18,720 --> 00:01:20,200
Speaker 3: world messing with you. Uh huh.

35
00:01:20,480 --> 00:01:23,160
Speaker 1: So a new Triple A study came out and it

36
00:01:23,200 --> 00:01:26,080
Speaker 1: found that ninety six percent of drivers admit to engaging

37
00:01:26,200 --> 00:01:30,479
Speaker 1: in aggressive driving or road rage in the past year.

38
00:01:30,600 --> 00:01:35,240
Speaker 1: They said aggressive driving is contagious, with exposure to hostility

39
00:01:35,280 --> 00:01:38,880
Speaker 1: on the road, increasing the likelihood of similar behavior. You

40
00:01:38,920 --> 00:01:41,760
Speaker 1: see somebody else do it, so you're going to do it.

41
00:01:41,840 --> 00:01:44,720
Speaker 2: Okay, Now what qualifies is road rage? Now?

42
00:01:44,760 --> 00:01:47,160
Speaker 3: I get you know, if you're going to break check

43
00:01:47,240 --> 00:01:49,480
Speaker 3: somebody or drive if it changes the way you drive

44
00:01:49,520 --> 00:01:50,800
Speaker 3: and you drive like a jerk.

45
00:01:50,600 --> 00:01:52,680
Speaker 2: Because of it, I get it, that's road rage.

46
00:01:52,760 --> 00:01:55,760
Speaker 3: But does is if if somebody cuts me off or

47
00:01:55,840 --> 00:01:57,800
Speaker 3: turns without using a signal in front of me and

48
00:01:57,840 --> 00:02:00,760
Speaker 3: I start yelling at them in my car but don't

49
00:02:00,840 --> 00:02:03,440
Speaker 3: change my driving behavior. Is that still road rage?

50
00:02:03,800 --> 00:02:07,720
Speaker 1: I believe? So? Oh right, because you're still angry and

51
00:02:07,760 --> 00:02:08,600
Speaker 1: you're still on the road.

52
00:02:08,639 --> 00:02:10,880
Speaker 3: Now, well, then that makes sense that ninety six percent

53
00:02:10,919 --> 00:02:13,160
Speaker 3: of the American public experiences road rage.

54
00:02:13,160 --> 00:02:16,120
Speaker 1: Then ninety two percent of drivers reported risky behaviors like

55
00:02:16,400 --> 00:02:20,120
Speaker 1: speeding or cutting off others. I don't do that, clearly,

56
00:02:20,120 --> 00:02:23,680
Speaker 1: I was certainly don't. I was busted going too fast. Yeah,

57
00:02:23,800 --> 00:02:27,480
Speaker 1: shouldn't do that. Eleven percent admitted to violent actions such

58
00:02:27,480 --> 00:02:31,800
Speaker 1: as intentionally bumping another vehicle or confronting another driver.

59
00:02:31,960 --> 00:02:35,000
Speaker 3: Oh not a good idea, yeah, a terrible idea to

60
00:02:35,000 --> 00:02:35,840
Speaker 3: do anything like that.

61
00:02:36,160 --> 00:02:40,160
Speaker 1: So they said that drivers of sports cars, large trucks,

62
00:02:40,320 --> 00:02:48,399
Speaker 1: and motorcycles are often perceived as more aggressive. That's seems stereotypical, right, Yeah,

63
00:02:48,440 --> 00:02:48,760
Speaker 1: those are.

64
00:02:48,800 --> 00:02:52,640
Speaker 3: Dude vehicles, sports cars, trucks, and motorcycles. Majority of people

65
00:02:52,720 --> 00:02:54,040
Speaker 3: driving those things are dudes.

66
00:02:54,480 --> 00:02:59,160
Speaker 1: I feel like motorcycle drivers, because I am one, are

67
00:02:59,520 --> 00:03:03,639
Speaker 1: much more are aware of their surroundings and safety because

68
00:03:03,880 --> 00:03:07,080
Speaker 1: of only being on two wheels, your head is constantly

69
00:03:07,160 --> 00:03:09,040
Speaker 1: turning looking for other traffic.

70
00:03:09,200 --> 00:03:11,320
Speaker 3: Yeah, I mean you'll always get an outlier, some jerk

71
00:03:11,360 --> 00:03:13,919
Speaker 3: on a motorcycle driving you know, unsafe and that sort

72
00:03:13,919 --> 00:03:16,280
Speaker 3: of thing. But yeah, having I mean as a motorcycle

73
00:03:16,320 --> 00:03:18,440
Speaker 3: rider myself, and when you go through and take the

74
00:03:18,440 --> 00:03:19,639
Speaker 3: class to get your license.

75
00:03:20,160 --> 00:03:21,400
Speaker 2: It's all about safety.

76
00:03:21,440 --> 00:03:24,520
Speaker 3: Safety is number one, and in the motorcycle community, it's

77
00:03:24,560 --> 00:03:27,839
Speaker 3: all about safety because you are so exposed to other

78
00:03:27,919 --> 00:03:30,560
Speaker 3: vehicles on the road that it makes sense that motorcycle

79
00:03:30,600 --> 00:03:32,239
Speaker 3: drivers and you're hyper aware.

80
00:03:32,080 --> 00:03:35,320
Speaker 1: Hand signals all the time. I would do that often

81
00:03:35,360 --> 00:03:39,000
Speaker 1: if I felt somebody was too close to my rear,

82
00:03:39,160 --> 00:03:41,680
Speaker 1: my tail, I would give them the signal like, hey,

83
00:03:41,840 --> 00:03:44,080
Speaker 1: back off, you're making me nervous.

84
00:03:44,240 --> 00:03:46,600
Speaker 3: And that's reasonable because you are so exposed as a

85
00:03:46,640 --> 00:03:47,840
Speaker 3: motorcycle rider.

86
00:03:47,920 --> 00:03:50,840
Speaker 1: So TRIBLEA says that you just need to stay calm,

87
00:03:51,280 --> 00:03:58,800
Speaker 1: give space, protect yourself, pause before reacting, ignore aggression, leave earlier.

88
00:03:59,400 --> 00:04:01,320
Speaker 1: I mean, this is my excuse to rob if I'm

89
00:04:01,320 --> 00:04:03,800
Speaker 1: ever late coming in. You know, hey, it's better to

90
00:04:03,800 --> 00:04:05,520
Speaker 1: get their safely, even quickly.

91
00:04:05,720 --> 00:04:06,320
Speaker 2: It is quickly.

92
00:04:06,560 --> 00:04:08,480
Speaker 3: Now, never mind the fact that I left my house

93
00:04:08,520 --> 00:04:11,880
Speaker 3: fifteen minutes late, but I still got here safely.

94
00:04:12,080 --> 00:04:14,560
Speaker 1: I blame it on the construction on Washington easy to do,

95
00:04:14,720 --> 00:04:18,440
Speaker 1: by the way. By the way, parts of Washington are

96
00:04:18,480 --> 00:04:21,679
Speaker 1: clearing up from the construction. Now, don't get me wrong,

97
00:04:21,920 --> 00:04:24,920
Speaker 1: it's still a mess. Still lane restrictions, still lane restrictions.

98
00:04:25,120 --> 00:04:28,400
Speaker 1: But the areas that they had worked on and are

99
00:04:28,480 --> 00:04:31,240
Speaker 1: open again. Are are kind of nice?

100
00:04:31,440 --> 00:04:34,119
Speaker 2: Yeah, well, pretty low lark. Let's be honest.

101
00:04:34,440 --> 00:04:39,480
Speaker 3: Driving on Washington before this construction was as bad as

102
00:04:39,480 --> 00:04:40,520
Speaker 3: Indiana roads are.

103
00:04:40,920 --> 00:04:42,400
Speaker 2: Washington was worse than average.

104
00:04:42,520 --> 00:04:43,520
Speaker 1: Yeah, it was bad.

105
00:04:43,640 --> 00:04:46,320
Speaker 3: It was really bad, So low bar to get those

106
00:04:46,320 --> 00:04:47,719
Speaker 3: fixed and improve those roads.

107
00:04:47,960 --> 00:04:53,200
Speaker 1: Job postings on Indeed have dropped seven percent since August,

108
00:04:53,480 --> 00:04:59,240
Speaker 1: and this is especially hurting entry level roles. New college

109
00:04:59,279 --> 00:05:02,839
Speaker 1: grads are special being impacted by this. They're facing tougher

110
00:05:02,880 --> 00:05:04,960
Speaker 1: time entering the job market.

111
00:05:05,080 --> 00:05:05,279
Speaker 2: Yeah.

112
00:05:05,279 --> 00:05:09,559
Speaker 3: Another study came out and said that for college people

113
00:05:09,560 --> 00:05:13,200
Speaker 3: to graduated college just last year, sixty percent of them

114
00:05:13,240 --> 00:05:15,039
Speaker 3: still do not have a full time job. It is

115
00:05:15,120 --> 00:05:19,080
Speaker 3: that the labor market is certainly tightening up, and this

116
00:05:19,240 --> 00:05:21,600
Speaker 3: article in Information is just another great example of that.

117
00:05:21,960 --> 00:05:25,599
Speaker 1: I've seen so many people posting videos saying how many

118
00:05:25,760 --> 00:05:30,800
Speaker 1: jobs they've applied to and have heard nothing back. We're

119
00:05:30,800 --> 00:05:34,400
Speaker 1: talking hundreds of resumes being sent out and they hear

120
00:05:34,440 --> 00:05:40,520
Speaker 1: nothing back. And how now you've got AI screening resumes.

121
00:05:40,560 --> 00:05:42,680
Speaker 2: Oh absolutely, absolutely before.

122
00:05:42,440 --> 00:05:46,120
Speaker 1: It'll even get referred on to a hiring manager. So

123
00:05:46,839 --> 00:05:49,800
Speaker 1: why aren't these people just I guess, using AI to

124
00:05:49,839 --> 00:05:53,040
Speaker 1: write their resume then, but that I mean to pass

125
00:05:53,080 --> 00:05:53,520
Speaker 1: by that.

126
00:05:53,800 --> 00:05:56,120
Speaker 3: The world keeps getting more and more complicated. And here's

127
00:05:56,160 --> 00:06:00,040
Speaker 3: another example. AI screeners are being put in place to

128
00:06:00,080 --> 00:06:02,920
Speaker 3: screen out resumes and let others through. And if that's

129
00:06:02,960 --> 00:06:05,479
Speaker 3: the case, then yeah, if you're looking for a job,

130
00:06:05,680 --> 00:06:08,800
Speaker 3: you better be using AI to write your resume or

131
00:06:08,800 --> 00:06:10,400
Speaker 3: else you're going to have a hard time just getting

132
00:06:10,440 --> 00:06:12,640
Speaker 3: past the first round of cuts.

133
00:06:12,680 --> 00:06:16,240
Speaker 1: It used to be that they would require a college degree.

134
00:06:16,279 --> 00:06:19,200
Speaker 1: That was like the first way that they would screen

135
00:06:19,240 --> 00:06:22,560
Speaker 1: out people. Sure like, oh no, we're requiring a four

136
00:06:22,640 --> 00:06:25,080
Speaker 1: year degree, So sorry about your luck there if you

137
00:06:25,120 --> 00:06:29,120
Speaker 1: don't have a degree. But now it's all it's being

138
00:06:29,160 --> 00:06:34,400
Speaker 1: screened by artificial intelligence. They say, scientific research and development

139
00:06:34,520 --> 00:06:38,479
Speaker 1: jobs are down nearly twenty five percent, and that is

140
00:06:38,520 --> 00:06:41,880
Speaker 1: the sharpest drop in any category, and likely due to

141
00:06:43,440 --> 00:06:45,000
Speaker 1: federal spending cuts.

142
00:06:45,400 --> 00:06:48,480
Speaker 3: What federals, Yeah, no kidding, And we're still doing the

143
00:06:48,839 --> 00:06:53,240
Speaker 3: problem of ghost jobs, which are jobs that get posted.

144
00:06:53,080 --> 00:06:54,839
Speaker 2: Right but never filled.

145
00:06:54,640 --> 00:06:57,880
Speaker 1: So that they can go to their stakeholders and shareholders

146
00:06:57,880 --> 00:07:01,120
Speaker 1: and say we're hiring, we're growing, we have these openings.

147
00:07:01,480 --> 00:07:04,680
Speaker 1: Keep in mind it's been open for years and they

148
00:07:04,720 --> 00:07:06,440
Speaker 1: have no intention of ever filling it.

149
00:07:06,640 --> 00:07:09,680
Speaker 3: That's exactly what's been happening in a lot of especially.

150
00:07:09,840 --> 00:07:11,800
Speaker 3: You know, if you're leading a company, you need to

151
00:07:11,840 --> 00:07:15,120
Speaker 3: tell your lenders, your board of directors, your boss, whoever.

152
00:07:15,360 --> 00:07:17,920
Speaker 3: Things are going great. Hey, things are going great. We're

153
00:07:17,920 --> 00:07:20,920
Speaker 3: a growing company. Look at all of these job openings.

154
00:07:20,920 --> 00:07:23,720
Speaker 3: We just can't find the right qualified.

155
00:07:23,200 --> 00:07:24,320
Speaker 2: Candidates to fill them.

156
00:07:24,440 --> 00:07:26,840
Speaker 3: And only if we could, man, we'd be making even

157
00:07:26,880 --> 00:07:29,360
Speaker 3: more money. Which meanwhile, they have no intention of ever

158
00:07:29,400 --> 00:07:32,400
Speaker 3: posting those jobs. It's hiring for those jobs. It's just

159
00:07:32,440 --> 00:07:35,560
Speaker 3: a story they can tell Wall Street and their lenders

160
00:07:35,720 --> 00:07:36,960
Speaker 3: and the border directors.

161
00:07:37,080 --> 00:07:39,320
Speaker 1: I saw a stat that said the average worker pay

162
00:07:39,400 --> 00:07:43,800
Speaker 1: has only gone up two percent. Meanwhile, things like ground

163
00:07:43,800 --> 00:07:47,680
Speaker 1: beef has gone up fourteen percent, bananas seven percent, oranges

164
00:07:47,720 --> 00:07:52,160
Speaker 1: ten percent, chicken breast has increased six percent. Coffee the

165
00:07:52,240 --> 00:07:55,240
Speaker 1: price of your morning coffee up twenty six percent, potato

166
00:07:55,320 --> 00:07:59,320
Speaker 1: chips up four percent, cookies five percent, and milk of

167
00:07:59,440 --> 00:08:03,960
Speaker 1: four percent. However, your pay only increased two percent.

168
00:08:04,040 --> 00:08:07,200
Speaker 3: And just a reminder, those prices for goods and services,

169
00:08:07,320 --> 00:08:10,080
Speaker 3: especially at the grocery store, are never coming down. Yeah,

170
00:08:10,120 --> 00:08:14,360
Speaker 3: they're never coming down. The only way out of this

171
00:08:14,520 --> 00:08:18,200
Speaker 3: is to increase wage growth, and two percent wage growth

172
00:08:18,280 --> 00:08:20,520
Speaker 3: is not nearly enough to cover the cost of inflation.

173
00:08:20,600 --> 00:08:23,560
Speaker 1: There was another survey that came out that said seventy

174
00:08:23,680 --> 00:08:30,560
Speaker 1: CEOs from different companies are being affected by the tariffs

175
00:08:31,080 --> 00:08:35,080
Speaker 1: that Trump has put in place. However, they're too scared

176
00:08:35,160 --> 00:08:40,600
Speaker 1: to say anything. They said tariffs are hurting their business.

177
00:08:41,000 --> 00:08:41,880
Speaker 2: Here's another thing.

178
00:08:41,960 --> 00:08:45,000
Speaker 3: As somebody who has been the president of a big

179
00:08:45,000 --> 00:08:48,640
Speaker 3: company before and knows what it's like running a company,

180
00:08:48,880 --> 00:08:51,880
Speaker 3: you got to keep in mind all of these CEOs

181
00:08:52,040 --> 00:08:54,480
Speaker 3: and people that run companies all have people that they're

182
00:08:54,480 --> 00:08:58,920
Speaker 3: held accountable to, usually their lenders, the board of directors, stockholders,

183
00:08:58,960 --> 00:09:02,400
Speaker 3: those sorts of things, all looking for stories to tell

184
00:09:02,920 --> 00:09:05,720
Speaker 3: about why things aren't going as well as they could be.

185
00:09:06,080 --> 00:09:07,839
Speaker 2: And I'm sure tariffs are a great look.

186
00:09:07,840 --> 00:09:09,880
Speaker 3: If I was running a company again and I was

187
00:09:09,880 --> 00:09:12,920
Speaker 3: trying to tell my boarded directors or my lenders about

188
00:09:12,920 --> 00:09:15,480
Speaker 3: what's going on with the business, you try and tell

189
00:09:15,559 --> 00:09:19,319
Speaker 3: a this is why we didn't make budget exactly are

190
00:09:19,360 --> 00:09:22,320
Speaker 3: You try and tell a hopefully optimistic story.

191
00:09:22,360 --> 00:09:23,080
Speaker 2: Yeah, things are.

192
00:09:22,920 --> 00:09:25,520
Speaker 3: Real tough out there, but we're working hard and these

193
00:09:25,559 --> 00:09:27,320
Speaker 3: are the things we're doing. So when you try to

194
00:09:27,320 --> 00:09:29,760
Speaker 3: tell that story. You're gonna find things like tariffs to

195
00:09:29,920 --> 00:09:32,240
Speaker 3: enter the part of the storytelling. You know, Trump's really

196
00:09:32,320 --> 00:09:35,280
Speaker 3: killing us with those tariffs. But it's our people and

197
00:09:35,320 --> 00:09:38,080
Speaker 3: the strategy that we've gotten. We're working hard, and we've

198
00:09:38,120 --> 00:09:40,400
Speaker 3: got these openings and we've got all these job openings,

199
00:09:40,400 --> 00:09:42,760
Speaker 3: and if we could just find qualified applicants, this is

200
00:09:42,800 --> 00:09:44,320
Speaker 3: how we're gonna fill and this is how we're gonna move.

201
00:09:44,440 --> 00:09:46,800
Speaker 3: This is all part of a story that CEOs have

202
00:09:46,880 --> 00:09:49,280
Speaker 3: to tell their stakeholders and the people that hold them accountable.

203
00:09:49,360 --> 00:09:51,680
Speaker 1: Rob and I were just talking about this a couple

204
00:09:51,720 --> 00:09:55,080
Speaker 1: of days ago, how people are no longer quiet quitting

205
00:09:55,320 --> 00:09:59,400
Speaker 1: or job hopping, their job hugging. They're staying at their

206
00:09:59,440 --> 00:10:04,559
Speaker 1: current role. Yeah, because it is harder out there to

207
00:10:05,080 --> 00:10:06,160
Speaker 1: land the next gig.

208
00:10:06,320 --> 00:10:08,559
Speaker 3: But this is common and if you've been in the

209
00:10:08,640 --> 00:10:10,760
Speaker 3: job market long enough, we see this. It has its

210
00:10:10,840 --> 00:10:12,480
Speaker 3: ups and downs. It was just a few years ago

211
00:10:12,600 --> 00:10:16,160
Speaker 3: during COVID twenty twenty one twenty twenty two, when employees

212
00:10:16,200 --> 00:10:18,480
Speaker 3: had all the leverage and people were switching jobs and

213
00:10:18,480 --> 00:10:21,400
Speaker 3: getting massive raises, and companies couldn't find people, and it

214
00:10:21,480 --> 00:10:25,160
Speaker 3: was the salad days for employees. And now it's swinging

215
00:10:25,200 --> 00:10:27,440
Speaker 3: the other way and the employers have got the upper hand,

216
00:10:27,440 --> 00:10:29,960
Speaker 3: and eventually it'll swing back into the where the employees

217
00:10:29,960 --> 00:10:30,559
Speaker 3: have the upper hand.

218
00:10:30,559 --> 00:10:32,200
Speaker 2: We just got to get through this downturn right now.

219
00:10:32,240 --> 00:10:34,800
Speaker 1: Uh huh. Let's just hope for.

220
00:10:34,760 --> 00:10:36,360
Speaker 2: The best fingers crossed.

221
00:10:36,480 --> 00:10:38,920
Speaker 1: Okay, So you showed me a picture of a famous

222
00:10:38,960 --> 00:10:41,960
Speaker 1: influencer last night and we have to talk about it.

223
00:10:42,000 --> 00:10:44,800
Speaker 2: Okay, Yeah, it's not good for this influencer.

224
00:10:44,840 --> 00:10:47,960
Speaker 3: It's definitely not going to help their image at all.

225
00:10:48,240 --> 00:10:51,360
Speaker 1: This is the Kendall and Case Show. It's ninety three WIBC.

226
00:10:56,160 --> 00:10:57,040
Speaker 2: Before we get.

227
00:10:56,840 --> 00:10:59,880
Speaker 4: Into the influencer story, I wanted to ask you, did

228
00:10:59,880 --> 00:11:03,040
Speaker 4: you do you see the video that the White House

229
00:11:03,040 --> 00:11:06,439
Speaker 4: put out the Presidential Walk of Fame on the West Wing,

230
00:11:06,600 --> 00:11:08,320
Speaker 4: all the pictures of the presidents.

231
00:11:08,400 --> 00:11:09,720
Speaker 2: Yeah, oh of course, Yeah.

232
00:11:09,800 --> 00:11:12,520
Speaker 3: That was That was big on Twitter and Instagram and

233
00:11:12,559 --> 00:11:13,720
Speaker 3: TikTok the last few days.

234
00:11:13,720 --> 00:11:16,800
Speaker 1: So you got this big, long corridor and you've got

235
00:11:17,120 --> 00:11:20,960
Speaker 1: headshots of all the former presidents in a gold frame,

236
00:11:21,679 --> 00:11:23,680
Speaker 1: and it just it goes down the list. You've got,

237
00:11:23,760 --> 00:11:27,880
Speaker 1: you know, Ford and Carter and Reagan and H. Bush

238
00:11:27,920 --> 00:11:32,920
Speaker 1: and then Clinton and W. Bush and Obama, Trump, and

239
00:11:32,960 --> 00:11:35,960
Speaker 1: then a picture of Joe Biden's signature signed by an

240
00:11:35,960 --> 00:11:40,560
Speaker 1: auto pen, and then Trump again. So it was funny, uh,

241
00:11:41,080 --> 00:11:43,240
Speaker 1: disrespectful or expert trolling?

242
00:11:43,640 --> 00:11:46,640
Speaker 3: Well, you know, could easily be both. I think it

243
00:11:46,679 --> 00:11:49,040
Speaker 3: depends on how long they leave it up there. So remember,

244
00:11:49,640 --> 00:11:52,600
Speaker 3: I mean, there's a history here of you know, administrations

245
00:11:52,640 --> 00:11:54,360
Speaker 3: trolling other administrations.

246
00:11:54,679 --> 00:11:56,960
Speaker 2: When George W.

247
00:11:57,040 --> 00:12:00,000
Speaker 3: Bush was first elected, so the outgoing president was Clinton,

248
00:12:00,080 --> 00:12:04,320
Speaker 3: incoming president was George W. Bush. When Bush and his

249
00:12:04,360 --> 00:12:06,960
Speaker 3: staffers got to the White House, all the Clinton staffers

250
00:12:07,120 --> 00:12:08,120
Speaker 3: had removed all.

251
00:12:08,080 --> 00:12:10,520
Speaker 2: The w's from the keyboards in the White House.

252
00:12:10,559 --> 00:12:13,280
Speaker 3: I remember, Okay, that's a little troll. You're not really

253
00:12:13,280 --> 00:12:15,840
Speaker 3: are you really damaging anything, are you? You know, you're

254
00:12:15,840 --> 00:12:18,880
Speaker 3: not really causing any harm. Just a fun, little type

255
00:12:18,960 --> 00:12:21,360
Speaker 3: senior prank sort of thing. So it depends on how

256
00:12:21,400 --> 00:12:23,400
Speaker 3: long they leave the photo of the auto pen up

257
00:12:23,440 --> 00:12:25,840
Speaker 3: there in you know, replace of Joe Biden. As to

258
00:12:25,880 --> 00:12:28,320
Speaker 3: whether or not this is a troll or not. You

259
00:12:28,400 --> 00:12:30,559
Speaker 3: leave it up for a day or maybe even a week, it's.

260
00:12:30,440 --> 00:12:31,000
Speaker 2: Just a troll.

261
00:12:31,080 --> 00:12:35,120
Speaker 3: Any more than that than it tends to become more spiteful.

262
00:12:35,480 --> 00:12:39,120
Speaker 1: I would say it's interesting though, that picture that's supposed

263
00:12:39,120 --> 00:12:41,520
Speaker 1: to be Joe Biden. He's, you know, he's flanked by

264
00:12:41,520 --> 00:12:44,120
Speaker 1: two pictures of Donald Trump. He's sandwiched right in there.

265
00:12:44,120 --> 00:12:47,040
Speaker 3: Which, by the way, I will have you I did

266
00:12:47,160 --> 00:12:50,720
Speaker 3: notice that both pictures of Trump were the same photo

267
00:12:50,880 --> 00:12:52,559
Speaker 3: and it's the new head shot.

268
00:12:52,840 --> 00:12:54,520
Speaker 1: Were they I thought they were different.

269
00:12:54,360 --> 00:12:56,520
Speaker 3: When I saw it, it looked like they were the same photo.

270
00:12:56,559 --> 00:12:58,680
Speaker 3: So he had his official headshot when he was elected

271
00:12:58,679 --> 00:13:01,000
Speaker 3: in twenty sixteen, and then we all know when he

272
00:13:01,040 --> 00:13:02,880
Speaker 3: was re elected in twenty twenty four he had that

273
00:13:02,920 --> 00:13:06,280
Speaker 3: more menacing head shot with kind of some odd lighting

274
00:13:06,280 --> 00:13:08,600
Speaker 3: to it. It was the more it was the menacing

275
00:13:08,640 --> 00:13:11,960
Speaker 3: shot that was used for both the first Trump administration

276
00:13:12,080 --> 00:13:14,200
Speaker 3: photo and the second and the second one.

277
00:13:14,240 --> 00:13:16,480
Speaker 1: He's smiling a lot more in the first and then

278
00:13:16,960 --> 00:13:18,439
Speaker 1: became more serious in.

279
00:13:18,400 --> 00:13:20,040
Speaker 2: The sinister in the second one.

280
00:13:20,120 --> 00:13:22,920
Speaker 1: Yes, So there's a growing number of retired athletes and

281
00:13:23,000 --> 00:13:26,960
Speaker 1: coaches that are launching political campaigns for the twenty six

282
00:13:27,040 --> 00:13:31,120
Speaker 1: mid term elections. Some of these people they lack the

283
00:13:31,160 --> 00:13:35,200
Speaker 1: traditional political background. That's kind of refreshing in a way,

284
00:13:35,480 --> 00:13:38,080
Speaker 1: like they're not people who are looking for the next grift,

285
00:13:38,679 --> 00:13:41,680
Speaker 1: trying to you know, fail up to the next position

286
00:13:42,000 --> 00:13:45,679
Speaker 1: or office. These are people who were came from a

287
00:13:45,720 --> 00:13:46,760
Speaker 1: sports background.

288
00:13:46,840 --> 00:13:50,200
Speaker 3: Yeah, Tommy Tebbervilt's current senator. He was a former college

289
00:13:50,240 --> 00:13:53,719
Speaker 3: football coach. Bob Stoops had a political career there shortly lived.

290
00:13:53,760 --> 00:13:57,679
Speaker 3: Former Oklahoma coach. You've got Jim Tressel, former Ohio state

291
00:13:57,720 --> 00:14:00,800
Speaker 3: football head coach, won a national championship state. He's the

292
00:14:00,800 --> 00:14:03,559
Speaker 3: current lieutenant governor of Ohio. Yeah, but he was appointed though,

293
00:14:03,640 --> 00:14:05,640
Speaker 3: he was appointed, and he just came out and said

294
00:14:05,640 --> 00:14:08,720
Speaker 3: that he's not going to be running governor against against

295
00:14:08,880 --> 00:14:13,080
Speaker 3: the veck Ramaswami. So yeah, absolutely, former coaches, and then

296
00:14:13,080 --> 00:14:14,680
Speaker 3: every now and then you'll see an athlete. I think,

297
00:14:14,679 --> 00:14:17,280
Speaker 3: probably most recently, the most famous one was herschel.

298
00:14:17,000 --> 00:14:20,240
Speaker 1: Walker, who lost the Senate race in Georgia.

299
00:14:20,000 --> 00:14:22,560
Speaker 3: Right after being I mean, he's a hometown Georgia guy,

300
00:14:22,640 --> 00:14:25,080
Speaker 3: played for the University of Georgia running for the Senate

301
00:14:25,160 --> 00:14:29,600
Speaker 3: in Georgia. Had Donald Trump's endorsement and full throated support, and.

302
00:14:30,200 --> 00:14:33,280
Speaker 2: Couldn't win that Georgia election to become senator.

303
00:14:33,360 --> 00:14:36,560
Speaker 1: He's been nominated to be the US Ambassador to the Bahamas, However,

304
00:14:36,640 --> 00:14:38,200
Speaker 1: he has not yet been confirmed.

305
00:14:38,320 --> 00:14:40,880
Speaker 3: Isn't that what does Rob always rail about failing up

306
00:14:41,200 --> 00:14:41,800
Speaker 3: in government.

307
00:14:41,840 --> 00:14:43,520
Speaker 2: Oh, you didn't win that election to win the Senate,

308
00:14:43,560 --> 00:14:44,920
Speaker 2: there's some cushy.

309
00:14:44,600 --> 00:14:48,200
Speaker 3: High paying government job to be the ambassador to the Bahamas.

310
00:14:48,600 --> 00:14:49,560
Speaker 2: I'm sure he'll take it.

311
00:14:49,680 --> 00:14:53,680
Speaker 1: So now you have some athlete politician candidates. There's one

312
00:14:53,720 --> 00:14:58,320
Speaker 1: in Texas, there's one in Georgia. There's also one in Arizona.

313
00:14:58,560 --> 00:15:02,920
Speaker 3: Also former Awe burn basketball head coaches talking about running

314
00:15:02,920 --> 00:15:03,320
Speaker 3: as well.

315
00:15:03,520 --> 00:15:06,040
Speaker 1: But clearly, as you pointed out with herschel Walker as

316
00:15:06,120 --> 00:15:10,800
Speaker 1: the example, despite their fame, that does not always indicate

317
00:15:10,920 --> 00:15:14,359
Speaker 1: electoral success. It means it's not always guaranteed.

318
00:15:15,640 --> 00:15:19,920
Speaker 3: Also, you've got one here in Indiana. Hunter Smith, former

319
00:15:20,040 --> 00:15:23,120
Speaker 3: colts player, is now a member of the Indiana I

320
00:15:23,120 --> 00:15:23,880
Speaker 3: think he's a member.

321
00:15:23,680 --> 00:15:24,160
Speaker 2: Of the House.

322
00:15:24,720 --> 00:15:26,960
Speaker 1: So now you've got these athletes that are bringing their

323
00:15:27,040 --> 00:15:31,480
Speaker 1: competitive spirit and public appeal into the political arena. Not

324
00:15:31,520 --> 00:15:32,760
Speaker 1: a lot of them will do it because they don't

325
00:15:32,760 --> 00:15:34,400
Speaker 1: want to tell you what their politics are.

326
00:15:35,280 --> 00:15:38,480
Speaker 3: Right, and it's interesting to see that most of them

327
00:15:38,520 --> 00:15:42,360
Speaker 3: have come from the coaching world as opposed to the athletes.

328
00:15:42,440 --> 00:15:45,000
Speaker 3: It'll be interesting to see if we have that balance changes.

329
00:15:45,040 --> 00:15:46,560
Speaker 3: But a lot of the people that end up running

330
00:15:46,560 --> 00:15:49,640
Speaker 3: for office and winning, at least for now, tend to

331
00:15:49,640 --> 00:15:51,920
Speaker 3: be more former coaches as opposed to former players.

332
00:15:52,040 --> 00:15:55,720
Speaker 1: Let's talk about the influencer. Oh boy, Libby Dunn, former

333
00:15:55,760 --> 00:16:00,320
Speaker 1: college gymnast, social media influencer. She was a support arding

334
00:16:00,360 --> 00:16:03,560
Speaker 1: her boyfriend Paul Skeens during his final game of the

335
00:16:03,640 --> 00:16:07,960
Speaker 1: MLB season. Some picture surfaced of her when she was

336
00:16:08,320 --> 00:16:10,320
Speaker 1: appears to be up in a suite right yeah, and

337
00:16:10,360 --> 00:16:14,240
Speaker 1: a little took place in Cincinnati. Skiens Pittsburgh Pirate. He

338
00:16:14,360 --> 00:16:15,800
Speaker 1: was playing against the Reds.

339
00:16:16,080 --> 00:16:19,200
Speaker 3: Little background on this. So she was a gymnast for LSU.

340
00:16:19,640 --> 00:16:23,000
Speaker 3: She was one of the first athletes to really take

341
00:16:23,040 --> 00:16:26,119
Speaker 3: advantage of NIL when it came when it became available,

342
00:16:26,160 --> 00:16:28,480
Speaker 3: I think in twenty twenty one, she has like four

343
00:16:28,520 --> 00:16:33,040
Speaker 3: million Instagram followers. She's this beautiful gymnast, obviously perfect for Instagram,

344
00:16:33,400 --> 00:16:36,240
Speaker 3: locked down like a three million dollar a year NIL

345
00:16:36,320 --> 00:16:40,480
Speaker 3: deal right away, very very social media friendly. She's dating

346
00:16:40,480 --> 00:16:42,960
Speaker 3: Paul Skeens, which is one of the hottest young pitchers

347
00:16:43,000 --> 00:16:45,840
Speaker 3: in all of Major League Baseball. She's at this game

348
00:16:46,080 --> 00:16:49,400
Speaker 3: in a suite and something happens on the field and

349
00:16:49,440 --> 00:16:51,560
Speaker 3: she puts both arms above her head. We see that

350
00:16:51,600 --> 00:16:53,920
Speaker 3: from fans. It's a classic fan reaction. You put both

351
00:16:54,040 --> 00:16:58,080
Speaker 3: arms above your head. Somebody takes a picture and she's

352
00:16:58,240 --> 00:17:03,240
Speaker 3: got armpit stain on her shirt. She's wearing a white shirt.

353
00:17:03,360 --> 00:17:05,280
Speaker 3: She's wearing a white shirt, and it's not like she

354
00:17:05,480 --> 00:17:10,200
Speaker 3: was currently sweating and pitted out. These were obviously previous

355
00:17:10,320 --> 00:17:14,200
Speaker 3: sweatweat sessions that had stained the shirt and not come

356
00:17:14,280 --> 00:17:18,600
Speaker 3: out in the wash. So for somebody whose entire career

357
00:17:18,840 --> 00:17:24,320
Speaker 3: and public image has been based on beautiful Instagram photos.

358
00:17:24,000 --> 00:17:25,880
Speaker 2: For her to have what is completely the.

359
00:17:25,840 --> 00:17:28,520
Speaker 3: Opposite and a picture go viral of her in a

360
00:17:28,560 --> 00:17:32,840
Speaker 3: pit stained long sleeved T shirt, she's just not having

361
00:17:32,840 --> 00:17:34,640
Speaker 3: a good day today, Poor poor Livy Dunn.

362
00:17:34,760 --> 00:17:37,119
Speaker 1: Yeah, some people were criticizing her appearance. They said it

363
00:17:37,160 --> 00:17:40,920
Speaker 1: was gross, they were nasty and ew and she responded

364
00:17:40,920 --> 00:17:42,879
Speaker 1: with some humor. She said, you can't blame a girl

365
00:17:43,320 --> 00:17:46,920
Speaker 1: for being nervous. Here's the thing, she's real.

366
00:17:46,920 --> 00:17:49,040
Speaker 2: Right she is. Yeah, she's not fake.

367
00:17:49,240 --> 00:17:52,520
Speaker 1: She's so this is something that happens to real people.

368
00:17:52,920 --> 00:17:58,000
Speaker 1: But maybe maybe she should retire that white T shirt

369
00:17:58,080 --> 00:18:01,040
Speaker 1: because it's stained or really really bleach.

370
00:18:01,080 --> 00:18:04,600
Speaker 3: She's got enough money to either take all her clothes

371
00:18:04,600 --> 00:18:06,960
Speaker 3: to the dry cleaner and get them cleaned out, or.

372
00:18:07,040 --> 00:18:08,200
Speaker 2: Just get a new shirt.

373
00:18:08,280 --> 00:18:11,359
Speaker 3: Get a new she got a three million dollar nil deal.

374
00:18:11,440 --> 00:18:14,360
Speaker 3: You can afford some new clothing.

375
00:18:14,200 --> 00:18:16,840
Speaker 1: Libby what people pick up on though. Oh my gosh,

376
00:18:16,920 --> 00:18:18,440
Speaker 1: she's got a pitstained shirt.

377
00:18:18,600 --> 00:18:21,000
Speaker 3: Can you imagine being her publicist? Oh gosh, have you?

378
00:18:21,320 --> 00:18:24,120
Speaker 3: Oh my gosh, we got a big problem here. What happened,

379
00:18:24,960 --> 00:18:28,240
Speaker 3: Livy Done was just photographed with a pitstained shirt.

380
00:18:28,280 --> 00:18:33,320
Speaker 1: Oh wife, The white shirt is so rough, you know,

381
00:18:33,440 --> 00:18:36,439
Speaker 1: because there are mornings. I gotta be really careful. I'm

382
00:18:36,480 --> 00:18:38,720
Speaker 1: always afraid if I have a white shirt on, that

383
00:18:38,840 --> 00:18:41,680
Speaker 1: coffee is going to get right there and the rest

384
00:18:41,720 --> 00:18:43,879
Speaker 1: of the day, I'm gonna have that brown spot on

385
00:18:43,880 --> 00:18:44,600
Speaker 1: that white shirt.

386
00:18:44,760 --> 00:18:47,800
Speaker 3: Happens to me every single time. But I am a

387
00:18:48,080 --> 00:18:50,320
Speaker 3: you like to wear your food. I am a sloppy eater.

388
00:18:50,440 --> 00:18:52,679
Speaker 3: I enjoy my food. Sometimes I get a little too

389
00:18:52,680 --> 00:18:54,800
Speaker 3: aggressive in my eating and it ends up on my

390
00:18:54,840 --> 00:18:55,560
Speaker 3: white shirt.

391
00:18:55,640 --> 00:18:59,640
Speaker 1: Okay, So let's hear from the Pacers general manager. Here

392
00:18:59,720 --> 00:19:03,640
Speaker 1: he is talking about expectations for the season.

393
00:19:04,119 --> 00:19:06,040
Speaker 5: We hear people talk about this being a gap year.

394
00:19:06,040 --> 00:19:08,159
Speaker 5: I don't think that's ever been what we've been about,

395
00:19:08,280 --> 00:19:11,359
Speaker 5: you know, we've with mister Simon as our owner, it's

396
00:19:11,400 --> 00:19:13,960
Speaker 5: always been about trying to compete and trying to win. Now,

397
00:19:14,000 --> 00:19:15,960
Speaker 5: some years are going to be more challenging than others.

398
00:19:16,080 --> 00:19:16,200
Speaker 1: You know.

399
00:19:16,200 --> 00:19:20,080
Speaker 5: Obviously we're down tyresee, so that will make some challenges.

400
00:19:20,119 --> 00:19:22,199
Speaker 5: But we're not looking at this as a year to

401
00:19:22,359 --> 00:19:24,240
Speaker 5: just try and get through. I mean, we'd never wish

402
00:19:24,280 --> 00:19:25,000
Speaker 5: away a season.

403
00:19:25,119 --> 00:19:25,320
Speaker 2: You know.

404
00:19:25,359 --> 00:19:27,520
Speaker 5: We got so many opportunities for some players on our

405
00:19:27,560 --> 00:19:30,720
Speaker 5: team that weren't there before that we're excited to see

406
00:19:30,760 --> 00:19:33,440
Speaker 5: what they can do. And I think this team has

407
00:19:33,720 --> 00:19:36,440
Speaker 5: shown that they come together when people kind of doubt them,

408
00:19:36,480 --> 00:19:38,240
Speaker 5: and I think they feel in the sense and they

409
00:19:38,240 --> 00:19:41,280
Speaker 5: hear the doubt about this season for us, and we're

410
00:19:41,280 --> 00:19:42,760
Speaker 5: still going to have a lot of the same identity.

411
00:19:42,800 --> 00:19:44,080
Speaker 5: We still have the same a lot of the same

412
00:19:44,119 --> 00:19:47,040
Speaker 5: core pieces on this team. The traits that those guys

413
00:19:47,160 --> 00:19:50,240
Speaker 5: you know bring, what our coaches bring is still there.

414
00:19:50,320 --> 00:19:52,760
Speaker 5: So I wouldn't put a limit on anything for this year.

415
00:19:53,200 --> 00:19:55,120
Speaker 5: But as far as like what defines success, I think

416
00:19:55,119 --> 00:19:57,000
Speaker 5: we want to be playing our best at the end

417
00:19:57,000 --> 00:19:58,359
Speaker 5: of the year, whatever that takes us to.

418
00:19:59,240 --> 00:20:01,960
Speaker 1: It feels like the playoffs just happened.

419
00:20:02,240 --> 00:20:05,000
Speaker 3: Yeah, Oh yeah, if you didn't know, NBA is getting

420
00:20:05,040 --> 00:20:07,440
Speaker 3: ready to start up. It feels like you and Rob

421
00:20:07,480 --> 00:20:09,920
Speaker 3: and I were just in downtown Indianapolis at the bar

422
00:20:10,040 --> 00:20:11,840
Speaker 3: watching Game seven. That was, what, just a couple of

423
00:20:11,880 --> 00:20:14,399
Speaker 3: weeks ago, right, Yeah, not that much farther back than that,

424
00:20:14,520 --> 00:20:16,560
Speaker 3: just a couple months ago. And yes, the NBA season

425
00:20:16,640 --> 00:20:20,320
Speaker 3: is ready to start. Look, I loved the Pacers playoff

426
00:20:20,400 --> 00:20:22,640
Speaker 3: run last year as much as anybody, but I'm here.

427
00:20:22,680 --> 00:20:24,920
Speaker 3: We tell the truth on this show, right, whether whether

428
00:20:24,960 --> 00:20:27,000
Speaker 3: you want to hear it or not tell the truth.

429
00:20:27,840 --> 00:20:31,199
Speaker 3: Everybody better set their expectations for the upcoming Pacers season

430
00:20:31,240 --> 00:20:34,480
Speaker 3: because I think the lack of tyres well, there's a

431
00:20:34,480 --> 00:20:38,320
Speaker 3: lot of things. So the Pacers outperformed last year. They

432
00:20:38,320 --> 00:20:40,320
Speaker 3: weren't supposed to be that good. They were supposed to

433
00:20:40,359 --> 00:20:43,520
Speaker 3: lose to the New York Knicks in the Eastern Concert Finals,

434
00:20:43,720 --> 00:20:46,679
Speaker 3: and they were supposed to get swept most of the NBA,

435
00:20:46,960 --> 00:20:49,840
Speaker 3: you know, prognosticators said it was going to be Oklahoma

436
00:20:49,880 --> 00:20:52,199
Speaker 3: City in four games, maybe five games. Of course, the

437
00:20:52,200 --> 00:20:55,119
Speaker 3: Pacers took them to seven. Took Tyrese Halliburton hitting some

438
00:20:55,200 --> 00:20:57,280
Speaker 3: amazing game winning shots to get him through to the

439
00:20:57,280 --> 00:21:01,040
Speaker 3: playoffs into the finals, and so they punched above their

440
00:21:01,040 --> 00:21:04,159
Speaker 3: weight in the playoffs last year, mostly due to Tyreez

441
00:21:04,160 --> 00:21:06,600
Speaker 3: Haliburton in his amazing play. And now we don't have

442
00:21:06,680 --> 00:21:08,240
Speaker 3: ty Reese this whole season long.

443
00:21:08,400 --> 00:21:09,720
Speaker 2: I think we need to we.

444
00:21:09,680 --> 00:21:13,120
Speaker 3: Need to reset our expectations on this season for the Pacers,

445
00:21:13,119 --> 00:21:16,600
Speaker 3: and I can't imagine any scenario where they're able to

446
00:21:16,640 --> 00:21:18,760
Speaker 3: do and have a run in the playoffs like they

447
00:21:18,760 --> 00:21:20,360
Speaker 3: did the last couple of years ago.

448
00:21:20,600 --> 00:21:23,600
Speaker 1: Tough, Okay. Donald Trump announced some more tariffs, so we'll

449
00:21:23,600 --> 00:21:25,600
Speaker 1: talk about what they are and how they could affect you.

450
00:21:25,640 --> 00:21:35,159
Speaker 1: Coming up from ninety three WIBC thinking about doing a

451
00:21:35,240 --> 00:21:40,320
Speaker 1: kitchen remodel, I don't know, think again, no now man.

452
00:21:40,400 --> 00:21:45,080
Speaker 1: So Donald Trump has announced some new tariffs starting October first,

453
00:21:45,119 --> 00:21:47,600
Speaker 1: it is the Kendall and Casey Show. I'm Casey, Rob

454
00:21:47,640 --> 00:21:49,760
Speaker 1: has the day off. That is Jim who is filling in,

455
00:21:50,280 --> 00:21:54,199
Speaker 1: and so one hundred percent tariff will be imposed on

456
00:21:54,320 --> 00:21:57,919
Speaker 1: a few different things. Let's talk about it. Branded or

457
00:21:58,000 --> 00:22:03,439
Speaker 1: patent pharmaceuticals not manufact lectured in the United States. The

458
00:22:03,560 --> 00:22:09,600
Speaker 1: goal here incentivized pharmaceutical companies to move manufacturing to American soil.

459
00:22:10,440 --> 00:22:14,600
Speaker 1: I'm really curious because do you remember was it last

460
00:22:14,600 --> 00:22:18,600
Speaker 1: week Governor Brown said there would be consequences to Indiana

461
00:22:18,720 --> 00:22:19,959
Speaker 1: if we did not redistrict.

462
00:22:20,240 --> 00:22:21,960
Speaker 2: I do remember that. I heard it on the Kendall

463
00:22:21,960 --> 00:22:22,520
Speaker 2: and Casey Show.

464
00:22:22,600 --> 00:22:25,720
Speaker 1: Yeah, there's a big pharmaceutical company right down the road.

465
00:22:26,640 --> 00:22:30,320
Speaker 1: Is this Donald Trump flexing his muscle to the great

466
00:22:30,359 --> 00:22:34,800
Speaker 1: state of Indiana, saying do what I want or tariff.

467
00:22:34,880 --> 00:22:38,120
Speaker 3: Here's a great example of me protecting your local Indiana

468
00:22:38,160 --> 00:22:41,959
Speaker 3: grown pharmaceutical company. Be a shame if something happened to it.

469
00:22:42,040 --> 00:22:44,280
Speaker 3: That sort of thing. Ye, here's what I did find interesting.

470
00:22:44,280 --> 00:22:47,080
Speaker 3: And so Trump put this out on truth Social He

471
00:22:47,080 --> 00:22:50,560
Speaker 3: talks about the fifty percent tariff on all kitchen cabinets, bathrooms, vanities,

472
00:22:50,560 --> 00:22:56,119
Speaker 3: and associated products, as well as upholstered furniture, and then

473
00:22:56,160 --> 00:22:57,960
Speaker 3: at the end of it, he says, it's a very

474
00:22:58,000 --> 00:23:01,760
Speaker 3: unfair practice, but we must protect for national.

475
00:23:01,320 --> 00:23:03,280
Speaker 2: Security and other reasons.

476
00:23:03,359 --> 00:23:06,280
Speaker 3: Come on, when I'm worried kitchen cabinets are contributing to

477
00:23:06,280 --> 00:23:09,919
Speaker 3: our national security? Upholstered furniture, could you know, contributing to

478
00:23:09,960 --> 00:23:11,000
Speaker 3: our national security.

479
00:23:11,160 --> 00:23:12,080
Speaker 2: It's a bit of a stretch.

480
00:23:12,760 --> 00:23:15,080
Speaker 1: Well, you know, he's just putting it all under one

481
00:23:15,080 --> 00:23:19,600
Speaker 1: big manufacturing umbrella that that's the best way to protect

482
00:23:19,640 --> 00:23:24,320
Speaker 1: the United States is have everything made here. It's also

483
00:23:24,440 --> 00:23:28,640
Speaker 1: interesting because uh ERLINUS. They launched their first ever NonStop

484
00:23:28,680 --> 00:23:32,760
Speaker 1: flight from Indianapolis to Dublin in May of this past year.

485
00:23:32,840 --> 00:23:34,879
Speaker 1: Do you remember that big deal? There were times a.

486
00:23:34,840 --> 00:23:37,760
Speaker 3: Week, Yeah, celebration at the airport on the inaugural flight, right,

487
00:23:37,800 --> 00:23:38,240
Speaker 3: I see in that.

488
00:23:38,359 --> 00:23:41,480
Speaker 1: Well, they have just announced now that they're adding another day.

489
00:23:41,520 --> 00:23:45,720
Speaker 1: They're increasing it to five NonStop flights weekly and they're

490
00:23:45,720 --> 00:23:48,440
Speaker 1: going to start doing that in April of next year.

491
00:23:48,680 --> 00:23:52,159
Speaker 1: And I remember when that happened that Brad Kloppenstein was

492
00:23:52,359 --> 00:23:55,879
Speaker 1: in and he was saying, you know, there's there's these

493
00:23:56,119 --> 00:24:02,840
Speaker 1: headquarters and manufacturing facilities and pharmaceutical for Lily in Ireland,

494
00:24:02,920 --> 00:24:07,080
Speaker 1: in Ireland, and is that why we're having these flights?

495
00:24:07,640 --> 00:24:12,359
Speaker 1: And now they've just announced they're adding another flight to

496
00:24:12,440 --> 00:24:16,080
Speaker 1: the weekly schedule to Dublin. But then on the other side,

497
00:24:16,160 --> 00:24:19,360
Speaker 1: you've got Donald Trump coming out with the tariff saying no, no, no,

498
00:24:19,800 --> 00:24:23,920
Speaker 1: you have to manufacture that medicine here in the United States.

499
00:24:24,160 --> 00:24:26,880
Speaker 1: Will that affect the flight, We'll see.

500
00:24:27,040 --> 00:24:29,159
Speaker 2: But right, well, you know there's always been a you

501
00:24:29,160 --> 00:24:29,720
Speaker 2: know this.

502
00:24:29,640 --> 00:24:32,960
Speaker 3: Cozy you know, closer and closer relationship with Ireland in Dublin, which,

503
00:24:32,960 --> 00:24:35,320
Speaker 3: by the way, talked about how it's a big sports weekend.

504
00:24:35,680 --> 00:24:39,920
Speaker 3: NFL for the first time ever playing a game in Dublin.

505
00:24:40,040 --> 00:24:42,800
Speaker 3: Collegekend yes, college football, Notre Dame especially, He's played a

506
00:24:42,840 --> 00:24:44,560
Speaker 3: lot of games in Dublin, but for the first time ever,

507
00:24:44,840 --> 00:24:48,600
Speaker 3: the NFL is playing in Dublin. It's Minnesota Vikings at

508
00:24:48,640 --> 00:24:53,679
Speaker 3: the Pittsburgh Steelers, nine thirty am start time here in

509
00:24:53,720 --> 00:24:55,359
Speaker 3: the Eastern time zone for that game.

510
00:24:55,440 --> 00:24:56,359
Speaker 2: So I absolutely love it.

511
00:24:56,400 --> 00:24:57,760
Speaker 1: So you actually is that on Sunday.

512
00:24:58,119 --> 00:24:58,760
Speaker 2: It's on Sunday.

513
00:24:58,840 --> 00:25:02,760
Speaker 3: Yeah, so you actually get at four NFL game windows

514
00:25:02,800 --> 00:25:05,040
Speaker 3: when they play an early morning international game, so there's

515
00:25:05,040 --> 00:25:06,600
Speaker 3: a nine to thirty game, and then you've got the

516
00:25:06,640 --> 00:25:08,800
Speaker 3: normal one o'clock games, the four thirty games, and then

517
00:25:08,840 --> 00:25:09,719
Speaker 3: Sunday night football.

518
00:25:09,800 --> 00:25:11,720
Speaker 1: So always back to sports with you, isn't it?

519
00:25:11,960 --> 00:25:14,160
Speaker 3: Well, why wouldn't you always take it back to sports?

520
00:25:14,200 --> 00:25:16,879
Speaker 3: I mean, come on, it's gonna be a fantastic sports weekend.

521
00:25:17,000 --> 00:25:19,760
Speaker 3: Last weekend for Major League Baseball regular season, Ryder Cup,

522
00:25:19,920 --> 00:25:22,440
Speaker 3: NFL college football white outs at Penn State.

523
00:25:23,000 --> 00:25:25,600
Speaker 1: So experts are saying though this policy could lead to

524
00:25:25,640 --> 00:25:30,240
Speaker 1: some drug shortages, also some supply chain issues and increased costs,

525
00:25:30,280 --> 00:25:32,240
Speaker 1: and I don't like that one bit. Everybody that does

526
00:25:32,359 --> 00:25:36,080
Speaker 1: like to rail on a big pharma. However, when you're

527
00:25:36,200 --> 00:25:40,560
Speaker 1: in need, especially when it comes to pain medication, boy,

528
00:25:40,560 --> 00:25:41,480
Speaker 1: you're glad they're there.

529
00:25:41,880 --> 00:25:46,040
Speaker 3: Yeah if you Yeah again, big pharma is a sticky subject.

530
00:25:46,160 --> 00:25:48,960
Speaker 3: We've obviously got a fortune five hundred pharmaceutical company based

531
00:25:49,080 --> 00:25:51,520
Speaker 3: here in Indianapolis. And yeah, there's a lot of things

532
00:25:51,520 --> 00:25:54,440
Speaker 3: that make you angry at big pharma. But man, if

533
00:25:54,480 --> 00:25:57,160
Speaker 3: you've got an infection, or you need some pain medication,

534
00:25:57,440 --> 00:25:59,359
Speaker 3: or you need to, you know, manage your diabetes or

535
00:25:59,400 --> 00:26:03,399
Speaker 3: any other chronic disease, it's it's and you and I

536
00:26:03,440 --> 00:26:06,360
Speaker 3: have had those problems, you know, some of them.

537
00:26:06,520 --> 00:26:08,680
Speaker 2: We real world experience, real world experience.

538
00:26:08,880 --> 00:26:11,240
Speaker 3: You know, you're real thankful when that ping medication or

539
00:26:11,280 --> 00:26:13,320
Speaker 3: when that pill you know, helps you get healthier.

540
00:26:13,400 --> 00:26:15,880
Speaker 1: Yeah, they just need to make it cheaper, though. More

541
00:26:15,880 --> 00:26:19,040
Speaker 1: tariffs on trucks and furniture twenty five percent tariff on

542
00:26:19,080 --> 00:26:23,719
Speaker 1: all heavy trucks manufactured outside the United States, thirty percent

543
00:26:23,800 --> 00:26:28,240
Speaker 1: tariff on the upholstered furniture and a fifty percent tariff

544
00:26:28,280 --> 00:26:31,560
Speaker 1: on kitchen cabinets and bathroom vanities.

545
00:26:32,160 --> 00:26:34,080
Speaker 3: And again I've said this before. I think it was

546
00:26:34,320 --> 00:26:36,120
Speaker 3: a year ago the last time I filled in when

547
00:26:36,119 --> 00:26:38,760
Speaker 3: Trump was talking about tariffs, you know, right after the election,

548
00:26:38,840 --> 00:26:40,200
Speaker 3: but before he was inaugurated.

549
00:26:40,400 --> 00:26:42,800
Speaker 2: We really have no idea what's going to happen with

550
00:26:42,840 --> 00:26:44,200
Speaker 2: this strategy.

551
00:26:43,680 --> 00:26:48,320
Speaker 3: Because he's implementing these tariffs at an aggressive pace and rate,

552
00:26:48,720 --> 00:26:50,639
Speaker 3: and nothing like this has been tried for one hundred

553
00:26:50,720 --> 00:26:52,719
Speaker 3: years and the world economy is nothing like what it

554
00:26:52,760 --> 00:26:55,119
Speaker 3: was one hundred years from now. So you know, these

555
00:26:55,160 --> 00:26:58,400
Speaker 3: could end up being hugely successful and Trump is proven right,

556
00:26:58,560 --> 00:27:01,480
Speaker 3: these could end up being an absolut mitigated disaster and

557
00:27:01,520 --> 00:27:03,160
Speaker 3: crusher our economy or anything in.

558
00:27:03,119 --> 00:27:05,520
Speaker 2: Between, and nobody really knows what's going to happen.

559
00:27:05,760 --> 00:27:08,680
Speaker 1: These are new tariffs in addition to the existing ones

560
00:27:08,720 --> 00:27:12,960
Speaker 1: on steel, aluminum, copper, automobile. Supreme Court is supposed to

561
00:27:12,960 --> 00:27:16,840
Speaker 1: review whether Trump's use of emergency powers to impose these

562
00:27:16,880 --> 00:27:21,399
Speaker 1: tariffs is legal. Okay, let's talk about what's going on

563
00:27:21,440 --> 00:27:25,240
Speaker 1: with Amazon. Yeah, am I going to be seeing some

564
00:27:25,359 --> 00:27:27,760
Speaker 1: new money in the Amazon account.

565
00:27:27,359 --> 00:27:30,560
Speaker 3: Based on the volume of purchases we make from Amazon.

566
00:27:30,680 --> 00:27:33,479
Speaker 3: I think there's a possibility that we could benefit from this.

567
00:27:34,040 --> 00:27:35,960
Speaker 1: Look at us making Jeff Bezos rich.

568
00:27:36,119 --> 00:27:39,000
Speaker 2: Hey give me my money, Bezos, you owe me money.

569
00:27:39,200 --> 00:27:43,960
Speaker 1: Okay, So what the FTC sued Amazon accused them of

570
00:27:44,119 --> 00:27:48,600
Speaker 1: enrolling millions in the Prime subscription without consent and made

571
00:27:48,640 --> 00:27:51,760
Speaker 1: it really difficult for people to cancel their subscriptions.

572
00:27:51,920 --> 00:27:53,400
Speaker 2: Yeah, so this is the FTC.

573
00:27:53,600 --> 00:27:57,280
Speaker 3: The Federal Trade Commission brought this suit against Amazon. Amazon

574
00:27:57,359 --> 00:27:59,320
Speaker 3: settled it, and of course as well with always beat

575
00:27:59,359 --> 00:28:02,840
Speaker 3: these settlements. Amazon admitted no wrongdoing, but they're gonna have

576
00:28:02,880 --> 00:28:05,200
Speaker 3: to pay I think a billion dollar penalty.

577
00:28:05,400 --> 00:28:06,840
Speaker 2: They're gonna have to pay some other fines.

578
00:28:06,880 --> 00:28:09,800
Speaker 3: But one of the requirements was they had to return

579
00:28:10,160 --> 00:28:14,520
Speaker 3: one point five billion dollars to Amazon consumers. And so

580
00:28:14,600 --> 00:28:16,600
Speaker 3: it's gonna happen in a couple of ways. For some people,

581
00:28:17,320 --> 00:28:20,240
Speaker 3: fifty dollars up to fifty dollars will just show up

582
00:28:20,280 --> 00:28:22,639
Speaker 3: as a credit on your Amazon in your Amazon account.

583
00:28:22,680 --> 00:28:24,600
Speaker 2: You won't have to do anything again. Based on the

584
00:28:24,640 --> 00:28:25,960
Speaker 2: volume of purchases.

585
00:28:25,520 --> 00:28:27,119
Speaker 3: That we make from Amazon, I think we got a

586
00:28:27,119 --> 00:28:29,040
Speaker 3: good chance of falling in that group. And then there's

587
00:28:29,040 --> 00:28:30,639
Speaker 3: another group of people that'll have to fill out a

588
00:28:30,680 --> 00:28:32,679
Speaker 3: form to be eligible for some sort of you know,

589
00:28:32,720 --> 00:28:33,359
Speaker 3: small credit.

590
00:28:33,640 --> 00:28:36,720
Speaker 1: I saw something really similar happening with Facebook as well

591
00:28:36,920 --> 00:28:40,040
Speaker 1: and Meta and some civil lawsuit with them.

592
00:28:40,280 --> 00:28:40,480
Speaker 2: Yeah.

593
00:28:40,520 --> 00:28:43,400
Speaker 3: I think that had more to do with businesses that

594
00:28:43,520 --> 00:28:47,440
Speaker 3: buy Facebook advertising, because most people don't spend money with

595
00:28:47,520 --> 00:28:50,840
Speaker 3: Facebook businesses due but obviously most average run of the

596
00:28:50,840 --> 00:28:52,960
Speaker 3: mill people don't spend any money with Facebook.

597
00:28:53,200 --> 00:28:53,720
Speaker 2: Amazon.

598
00:28:53,960 --> 00:28:57,640
Speaker 3: Everybody spends money with Amazon, and so you know, the

599
00:28:58,120 --> 00:29:00,200
Speaker 3: what you can take out of this story is keep

600
00:29:00,200 --> 00:29:02,480
Speaker 3: an eye on your Amazon account because you may just

601
00:29:02,560 --> 00:29:04,080
Speaker 3: end up seeing a credit show up there.

602
00:29:04,240 --> 00:29:04,440
Speaker 6: Right.

603
00:29:05,040 --> 00:29:10,440
Speaker 1: Okay, we have to talk about Sean Alexander, NFL MVP.

604
00:29:11,200 --> 00:29:15,760
Speaker 1: Him and his wife Valerie expecting their fourteenth child.

605
00:29:15,840 --> 00:29:17,920
Speaker 3: I love this story because so much when we see

606
00:29:18,040 --> 00:29:21,440
Speaker 3: when we see we hear about athletes and former athletes

607
00:29:21,440 --> 00:29:23,080
Speaker 3: that have you know, six seven, eight, nine kids.

608
00:29:23,120 --> 00:29:24,080
Speaker 2: Usually that's from.

609
00:29:24,040 --> 00:29:26,560
Speaker 3: A bunch of different mothers and they're not involved in

610
00:29:26,600 --> 00:29:28,840
Speaker 3: the kids' lives. This is a wholesome, sweet story. And

611
00:29:28,880 --> 00:29:31,040
Speaker 3: his wife have been married since two thousand and two

612
00:29:31,680 --> 00:29:35,840
Speaker 3: and they're about to have their fourteenth child. It's like

613
00:29:35,840 --> 00:29:38,240
Speaker 3: they're trying for a record, you know, they know what

614
00:29:38,320 --> 00:29:38,840
Speaker 3: causes that.

615
00:29:39,200 --> 00:29:42,560
Speaker 1: Yeah, so he played nine seasons in the NFL, mostly

616
00:29:42,560 --> 00:29:47,560
Speaker 1: with the Seattle Seahawks, and they homeschool. They homeschool all

617
00:29:47,600 --> 00:29:50,320
Speaker 1: the kids. The oldest one is in high school and

618
00:29:50,400 --> 00:29:52,800
Speaker 1: now they're going to have one. So let's do the map.

619
00:29:52,800 --> 00:29:55,440
Speaker 1: They've been married, what twenty twenty.

620
00:29:55,160 --> 00:29:56,280
Speaker 2: I think it's twenty twenty three.

621
00:29:56,280 --> 00:29:57,520
Speaker 3: I think they were married in two thousand and two,

622
00:29:57,560 --> 00:29:59,920
Speaker 3: so I think it's twenty three years, twenty three, right,

623
00:30:00,400 --> 00:30:02,560
Speaker 3: he's forty eight years old, twenty three years.

624
00:30:02,600 --> 00:30:07,120
Speaker 1: They have fourteen kids, so she has been pregnant.

625
00:30:07,560 --> 00:30:08,400
Speaker 2: Okay, so do the master.

626
00:30:09,440 --> 00:30:13,360
Speaker 3: Fourteen so pregnancies are actually ten months or at forty weeks.

627
00:30:13,400 --> 00:30:15,560
Speaker 3: I don't know where we got very thrilled into our

628
00:30:15,560 --> 00:30:17,120
Speaker 3: head that it was nine months, but forty weeks, So

629
00:30:17,200 --> 00:30:20,280
Speaker 3: forty weeks because fourteen kids.

630
00:30:21,560 --> 00:30:22,840
Speaker 2: Again public school math.

631
00:30:24,040 --> 00:30:27,920
Speaker 3: Yeah, that works out to be about just under twelve

632
00:30:28,040 --> 00:30:31,200
Speaker 3: years of their marriage she has been pregnant, and they've

633
00:30:31,200 --> 00:30:33,880
Speaker 3: been married twenty three years, so over half of their

634
00:30:33,880 --> 00:30:36,680
Speaker 3: twenty three marriage, twenty three year marriage, she has been

635
00:30:36,720 --> 00:30:38,720
Speaker 3: pregnant carrying a child.

636
00:30:38,880 --> 00:30:42,040
Speaker 1: That's you know, once the older ones start to get older,

637
00:30:42,320 --> 00:30:45,160
Speaker 1: they help out with the younger ones, right.

638
00:30:45,240 --> 00:30:47,720
Speaker 3: Right, It becomes a self fulfilling cycle. At that point,

639
00:30:47,760 --> 00:30:49,680
Speaker 3: the only way that you can have more kids is

640
00:30:49,720 --> 00:30:51,200
Speaker 3: that the older ones are helping you out. Can you

641
00:30:51,240 --> 00:30:54,880
Speaker 3: imagine lining up like fourteen serial bowls in the morning.

642
00:30:55,080 --> 00:30:57,680
Speaker 1: You see those videos, two gallons of you see those

643
00:30:57,760 --> 00:31:00,000
Speaker 1: videos are like those bartenders that line up the sho

644
00:31:00,040 --> 00:31:01,960
Speaker 1: shots and just pour them all down the line.

645
00:31:01,960 --> 00:31:05,040
Speaker 3: You're like pouring cinnamon toast crunch into fourteen bowls right

646
00:31:05,040 --> 00:31:07,000
Speaker 3: across the line and getting out the gallon of milk

647
00:31:07,040 --> 00:31:09,280
Speaker 3: and slugging it in there right down the line. That's

648
00:31:09,280 --> 00:31:10,640
Speaker 3: why I mean, I can't even imagine.

649
00:31:10,640 --> 00:31:10,760
Speaker 1: Now.

650
00:31:10,840 --> 00:31:14,000
Speaker 3: Fortunately, Sean Alexander made millions playing in the NFL. He

651
00:31:14,120 --> 00:31:17,920
Speaker 3: was a you know, very highly regarded, very successful NFL player,

652
00:31:18,040 --> 00:31:20,480
Speaker 3: So he's made millions. Hopefully he saved his pennies because

653
00:31:20,480 --> 00:31:22,640
Speaker 3: he's gonna need all of it to send fourteen kids

654
00:31:22,680 --> 00:31:23,680
Speaker 3: to college.

655
00:31:23,320 --> 00:31:26,160
Speaker 1: Right Ray, Ray, Well, not even not even that, but

656
00:31:26,320 --> 00:31:30,440
Speaker 1: just the cost. Can you imagine the diapers.

657
00:31:30,200 --> 00:31:33,080
Speaker 2: The diaper of volume of diapers.

658
00:31:33,160 --> 00:31:35,080
Speaker 1: Do you think they have a diaper genie? They probably

659
00:31:35,080 --> 00:31:35,600
Speaker 1: have a couple.

660
00:31:35,960 --> 00:31:36,720
Speaker 2: They probably have.

661
00:31:36,760 --> 00:31:39,400
Speaker 3: That's why here's a great example where a diaper service

662
00:31:39,560 --> 00:31:41,840
Speaker 3: actually makes sense, where that little truck comes to your

663
00:31:41,840 --> 00:31:43,920
Speaker 3: house and that takes away the old diapers and gives

664
00:31:43,920 --> 00:31:44,400
Speaker 3: you new ones.

665
00:31:44,440 --> 00:31:46,880
Speaker 2: That actually makes sense when you got fourteen kids.

666
00:31:46,600 --> 00:31:50,600
Speaker 1: And like we have one trash can, right, fourteen kids,

667
00:31:50,800 --> 00:31:52,440
Speaker 1: you have to have multiple.

668
00:31:52,200 --> 00:31:53,080
Speaker 2: Right, just their normal.

669
00:31:53,160 --> 00:31:56,080
Speaker 3: They probably have a separate trash contract with like an

670
00:31:56,080 --> 00:31:59,240
Speaker 3: independent trash company, because I can't even imagine the amount

671
00:31:59,240 --> 00:32:02,680
Speaker 3: of volume of garbage that you create with fourteen.

672
00:32:02,360 --> 00:32:05,600
Speaker 1: Kids' that's just say good for them, good.

673
00:32:05,400 --> 00:32:07,960
Speaker 3: For them, still married, twenty three years married, I'm their

674
00:32:07,960 --> 00:32:08,840
Speaker 3: fourteenth kid.

675
00:32:09,640 --> 00:32:11,320
Speaker 2: It's really it's really a great story.

676
00:32:11,560 --> 00:32:14,680
Speaker 1: This is the Kendallly Casey Show. It's ninety three WIBC.

677
00:32:28,720 --> 00:32:31,600
Speaker 1: Just as Starbucks is letting some more.

678
00:32:31,520 --> 00:32:34,200
Speaker 2: People go closing some stores too.

679
00:32:34,600 --> 00:32:38,440
Speaker 1: Yeah, what did they say? Uh, they're going to put

680
00:32:38,440 --> 00:32:43,520
Speaker 1: a billion dollars into restructuring. But to do that, they're

681
00:32:43,560 --> 00:32:48,440
Speaker 1: going to lay off about nine hundred employees. This comes

682
00:32:48,480 --> 00:32:52,360
Speaker 1: after they just laid off about eleven hundred corporate people.

683
00:32:52,840 --> 00:32:53,480
Speaker 2: Yeah earlier.

684
00:32:53,840 --> 00:32:55,600
Speaker 3: A lot of those nine hundred are gonna be corporate people,

685
00:32:55,640 --> 00:32:58,000
Speaker 3: but they are going to be closing a bunch of

686
00:32:58,040 --> 00:33:03,120
Speaker 3: stores about one percent. Keep in mind, Starbucks parent company

687
00:33:03,200 --> 00:33:06,520
Speaker 3: owns some Starbucks locations, but also there are locations owned

688
00:33:06,520 --> 00:33:08,800
Speaker 3: by franchises as well, so that they're going to be

689
00:33:08,800 --> 00:33:12,720
Speaker 3: closing about one percent of all the Starbucks owned Starbucks locations.

690
00:33:12,800 --> 00:33:15,920
Speaker 1: So here's the financial breakdown. Ninety percent of restructuring costs

691
00:33:15,960 --> 00:33:18,920
Speaker 1: attributed to North America. One hundred and fifty million is

692
00:33:19,000 --> 00:33:22,240
Speaker 1: the employee separation costs. So they're obviously going to pay

693
00:33:22,280 --> 00:33:26,200
Speaker 1: some people out eight hundred and fifty million store closure

694
00:33:26,320 --> 00:33:31,520
Speaker 1: related restructuring changes. A majority of their expenses will be

695
00:33:31,560 --> 00:33:35,240
Speaker 1: incurred in the fiscal year of twenty twenty five. They

696
00:33:35,280 --> 00:33:38,880
Speaker 1: said that some of the baristas that are affected maybe

697
00:33:38,880 --> 00:33:42,760
Speaker 1: transferred to other stores, or you know, they're going to

698
00:33:42,880 --> 00:33:47,720
Speaker 1: just receive a severance package. If your boss came to

699
00:33:47,760 --> 00:33:51,240
Speaker 1: you and said, yeah, no, we're we're closing shop here.

700
00:33:51,440 --> 00:33:53,520
Speaker 1: You can go to this other location if you want,

701
00:33:53,720 --> 00:33:57,000
Speaker 1: would you do it or would you say no, I'm out.

702
00:33:57,080 --> 00:33:59,280
Speaker 3: And what and take a severance package for it? By

703
00:33:59,440 --> 00:34:01,720
Speaker 3: me and everybody depends on how tight you are financially

704
00:34:01,800 --> 00:34:04,120
Speaker 3: and what your job prospects are for something else. I

705
00:34:04,160 --> 00:34:06,360
Speaker 3: think that you know, with the economy is what it

706
00:34:06,440 --> 00:34:08,439
Speaker 3: is right now and the labor market kind of tight,

707
00:34:10,000 --> 00:34:12,239
Speaker 3: I think a lot of people will probably be looking

708
00:34:12,280 --> 00:34:15,600
Speaker 3: at moving to another store, at least temporarily, right.

709
00:34:15,719 --> 00:34:17,400
Speaker 1: I think it also depends on how far you'd have

710
00:34:17,400 --> 00:34:20,239
Speaker 1: to travel, like is the other store across the state

711
00:34:20,360 --> 00:34:22,400
Speaker 1: or is it across town? And sometimes and then you

712
00:34:22,480 --> 00:34:24,560
Speaker 1: got to think about how much you're gonna you know,

713
00:34:24,680 --> 00:34:28,000
Speaker 1: spend in time and gas is it Is it gonna

714
00:34:28,000 --> 00:34:28,440
Speaker 1: be worth it?

715
00:34:28,560 --> 00:34:28,759
Speaker 2: Yeah?

716
00:34:28,800 --> 00:34:32,080
Speaker 3: And this is just indicative of the restaurant industry as

717
00:34:32,120 --> 00:34:34,359
Speaker 3: a whole, which Starbucks is part of, has just been

718
00:34:34,360 --> 00:34:36,440
Speaker 3: going through a lot of upheaval and that happened, has

719
00:34:36,480 --> 00:34:39,040
Speaker 3: happened ever since COVID. It's happened because of the inflation

720
00:34:39,120 --> 00:34:41,840
Speaker 3: and the massive, you know rise in the cost of food,

721
00:34:41,880 --> 00:34:44,960
Speaker 3: which is impacting restaurants. But the restaurant industry right now

722
00:34:45,040 --> 00:34:47,560
Speaker 3: is really struggling. There are some bright spots we've seen

723
00:34:47,680 --> 00:34:51,239
Speaker 3: business reports. Chili's is doing better than all of their competitors.

724
00:34:51,239 --> 00:34:53,799
Speaker 3: Red Lobster has actually got a new CEO and turn

725
00:34:53,880 --> 00:34:56,480
Speaker 3: things around from their bankruptcy. But there are a lot

726
00:34:56,520 --> 00:34:59,720
Speaker 3: of other restaurants and fast casual places that are struggling.

727
00:34:59,800 --> 00:35:01,919
Speaker 3: And Starbucks has been struggling for a number of years,

728
00:35:01,960 --> 00:35:04,960
Speaker 3: and it's because consumers really want value. If they're going

729
00:35:05,000 --> 00:35:06,520
Speaker 3: to spend that money and go out to eat, they

730
00:35:06,520 --> 00:35:08,840
Speaker 3: want to feel like they're getting their money's worth.

731
00:35:08,600 --> 00:35:09,040
Speaker 2: Out of it.

732
00:35:09,239 --> 00:35:10,719
Speaker 1: Right, you're going to make it special.

733
00:35:10,440 --> 00:35:13,480
Speaker 3: When you're paying five six seven dollars for a specialty coffee.

734
00:35:13,920 --> 00:35:16,359
Speaker 3: A lot of consumers are just kind of bypassing that, right.

735
00:35:16,440 --> 00:35:18,280
Speaker 1: I think we make better coffee at home anyway.

736
00:35:18,560 --> 00:35:19,520
Speaker 2: For us, we do.

737
00:35:19,600 --> 00:35:22,680
Speaker 3: We stop going to Starbucks a long time ago, and man,

738
00:35:22,760 --> 00:35:26,880
Speaker 3: do we love our coffee, but drinking an incredible amount

739
00:35:26,880 --> 00:35:29,040
Speaker 3: of coffee. But we do a pretty good job of

740
00:35:29,080 --> 00:35:31,799
Speaker 3: making coffee at home, and it saves us a lot

741
00:35:31,840 --> 00:35:35,600
Speaker 3: of money. Then expensive, man, I mean the prices that

742
00:35:35,680 --> 00:35:40,200
Speaker 3: Starbucks are. It's painful when you do that. It's really painful.

743
00:35:40,200 --> 00:35:44,040
Speaker 3: And and so it's not a surprise that a company

744
00:35:44,200 --> 00:35:49,560
Speaker 3: likes Starbucks that serves coffee and food items. They've got

745
00:35:49,560 --> 00:35:51,160
Speaker 3: to be able to prove their value, and right now,

746
00:35:51,160 --> 00:35:53,640
Speaker 3: to a majority of Americans, they're just not proven their value.

747
00:35:53,719 --> 00:35:56,120
Speaker 1: Right Their stock is down eight percent year to date.

748
00:35:56,440 --> 00:35:59,480
Speaker 1: Their CEO said that it's a new CEO. By the way,

749
00:35:59,480 --> 00:36:02,360
Speaker 1: They've had some leadership changes. They've got a new CFO

750
00:36:02,560 --> 00:36:05,960
Speaker 1: and new COO and also a new CEO, and he

751
00:36:06,040 --> 00:36:08,840
Speaker 1: said that they aim to make Starbucks the world's greatest

752
00:36:08,880 --> 00:36:10,560
Speaker 1: customer centric company.

753
00:36:10,640 --> 00:36:13,040
Speaker 3: It's funny you say it by you lower the car. Well,

754
00:36:13,040 --> 00:36:15,000
Speaker 3: it's funny you say their stock price is down eight percent.

755
00:36:15,040 --> 00:36:17,400
Speaker 3: So keep in mind, the stock market in general as

756
00:36:17,440 --> 00:36:19,600
Speaker 3: a whole has been hitting record highs. It's been a

757
00:36:19,640 --> 00:36:21,720
Speaker 3: great year for the overall stock market. Can you imagine

758
00:36:21,719 --> 00:36:24,239
Speaker 3: you're at Starbucks. Every other stock is crushing it and

759
00:36:24,280 --> 00:36:26,359
Speaker 3: hitting record highs, and you're sitting and looking at yours, going,

760
00:36:26,480 --> 00:36:28,960
Speaker 3: we're down eight percent year to date. Yeah, it's just

761
00:36:29,000 --> 00:36:30,680
Speaker 3: time to make some changes to that company.

762
00:36:30,800 --> 00:36:33,799
Speaker 1: You pointed this out to me yesterday. Johnny Carson is

763
00:36:33,880 --> 00:36:39,759
Speaker 1: selling his Malibu estate for one hundred and ten million dollars.

764
00:36:40,000 --> 00:36:44,120
Speaker 2: Now I did a deep dive into this. Oh good, Well,

765
00:36:44,200 --> 00:36:45,560
Speaker 2: I love looking at real estate.

766
00:36:45,640 --> 00:36:47,960
Speaker 1: Well, late night talk show hosts have been in the

767
00:36:48,000 --> 00:36:50,719
Speaker 1: news lately, So what's Johnny Carson got going on?

768
00:36:50,880 --> 00:36:52,000
Speaker 2: So this one.

769
00:36:51,960 --> 00:36:54,759
Speaker 3: Hundred and ten million dollar Malibu home comes with a

770
00:36:54,800 --> 00:36:59,280
Speaker 3: botanical garden and arboretum. Of course, it's three stories seventy

771
00:36:59,280 --> 00:37:02,680
Speaker 3: one hundred square feet, has a greenhouse, a fruit orchard.

772
00:37:02,440 --> 00:37:04,239
Speaker 2: A guesthouse, and get this.

773
00:37:05,280 --> 00:37:10,640
Speaker 3: An aviary is an entire bird bilding filled with birds.

774
00:37:11,080 --> 00:37:14,160
Speaker 3: That's what one hundred and ten million dollars buys for you.

775
00:37:14,239 --> 00:37:15,680
Speaker 3: So I also did the math on this, because when

776
00:37:15,680 --> 00:37:18,239
Speaker 3: you shop for real estate, at least normal people shop

777
00:37:18,239 --> 00:37:19,920
Speaker 3: for real estate, one of the metrics they always look

778
00:37:19,920 --> 00:37:21,840
Speaker 3: at is price per square foot. Sure, so that's a

779
00:37:21,880 --> 00:37:24,200
Speaker 3: really common thing to kind of compare different houses. And

780
00:37:24,480 --> 00:37:28,040
Speaker 3: in Indianapolis, obviously it varies wildly, but about one hundred

781
00:37:28,040 --> 00:37:30,440
Speaker 3: and fifty bucks a square foot. That that's kind of

782
00:37:30,480 --> 00:37:32,600
Speaker 3: ballpark for what you're going to pay for real estate

783
00:37:32,600 --> 00:37:33,439
Speaker 3: in Indianapolis.

784
00:37:33,560 --> 00:37:35,879
Speaker 1: Not this one hundred and ten million dollar Malibu.

785
00:37:35,680 --> 00:37:42,120
Speaker 3: Home fifteen thousand, five hundred dollars per square foot compared

786
00:37:42,160 --> 00:37:45,360
Speaker 3: to about one hundred and fifty dollars in Indianapolis. So

787
00:37:45,480 --> 00:37:51,680
Speaker 3: that is one hundred times more expensive per square foot

788
00:37:52,280 --> 00:37:55,719
Speaker 3: fifteen thousand, five hundred dollars per square.

789
00:37:55,360 --> 00:37:58,359
Speaker 2: Foot, and you get an aviary for all your birds.

790
00:38:00,040 --> 00:38:00,680
Speaker 1: Eat an aviary.

791
00:38:00,920 --> 00:38:02,760
Speaker 3: Oh, I don't eat an aviary. But if I'm spending

792
00:38:02,760 --> 00:38:05,600
Speaker 3: one hundred and ten million, better have goofy stuff like

793
00:38:05,640 --> 00:38:08,520
Speaker 3: an aviary. There may better be elevators throughout the whole place.

794
00:38:08,520 --> 00:38:11,800
Speaker 3: I'm gonna need like a forty car garage, underground parking

795
00:38:11,960 --> 00:38:13,120
Speaker 3: fountains everywhere.

796
00:38:13,280 --> 00:38:15,000
Speaker 2: It's one hundred and ten million dollars.

797
00:38:15,000 --> 00:38:17,480
Speaker 1: If you have one hundred and ten million dollars to

798
00:38:17,520 --> 00:38:19,480
Speaker 1: put in an offer, I want to know where the

799
00:38:19,480 --> 00:38:23,360
Speaker 1: money is. Show me where you're keeping that. That's a

800
00:38:23,440 --> 00:38:27,520
Speaker 1: secret for me. Okay. So it also has obviously spa

801
00:38:27,880 --> 00:38:33,000
Speaker 1: like bathrooms, walking closets, fireplace, bunch of offices, a private terrace,

802
00:38:33,360 --> 00:38:38,480
Speaker 1: a glass sunken fireplace, coypond. He's gotta have fish to

803
00:38:38,520 --> 00:38:39,560
Speaker 1: go along with the birds.

804
00:38:39,680 --> 00:38:42,480
Speaker 3: R That's like a normal feature that you would see

805
00:38:42,520 --> 00:38:45,160
Speaker 3: in like a regular suburban hole. I could I probably

806
00:38:45,200 --> 00:38:47,799
Speaker 3: could pull up Zilla right now and find dozens of

807
00:38:47,840 --> 00:38:50,520
Speaker 3: houses in Caramel and Zionsville and Fishers.

808
00:38:50,600 --> 00:38:51,600
Speaker 1: Put that out of your core.

809
00:38:51,719 --> 00:38:54,560
Speaker 3: God, you put that into description for one hundred and

810
00:38:54,640 --> 00:38:56,359
Speaker 3: ten million dollar Malibu home.

811
00:38:56,440 --> 00:39:01,920
Speaker 1: Coy pond, bar, lounge, chef's kitchen, butler's pantry, glass walled office,

812
00:39:01,960 --> 00:39:05,120
Speaker 1: an ocean view lounge with a wet bar, a screening room,

813
00:39:05,160 --> 00:39:09,280
Speaker 1: of course, and a wine cellar. Is the wine cellar stocked?

814
00:39:09,719 --> 00:39:10,880
Speaker 1: That's the big question.

815
00:39:11,320 --> 00:39:14,080
Speaker 3: And a butler's pantry. H this is one of the

816
00:39:14,160 --> 00:39:18,160
Speaker 3: rare instances where you actually probably have a butler that'll

817
00:39:18,200 --> 00:39:21,000
Speaker 3: be directly accessing the butler's pantry.

818
00:39:21,120 --> 00:39:23,799
Speaker 1: Oh boy. Okay, So we had a staff meeting here

819
00:39:24,000 --> 00:39:27,480
Speaker 1: yesterday at the radio station and this was me during it.

820
00:39:28,640 --> 00:39:31,320
Speaker 3: Not quite sure why I'm here or what I'm doing,

821
00:39:32,400 --> 00:39:33,560
Speaker 3: But there's a reason.

822
00:39:35,040 --> 00:39:38,239
Speaker 6: Man, we're discussing the rezoning for the portellos. Do you

823
00:39:38,239 --> 00:39:42,400
Speaker 6: have any comments on that? For what we're discussing the

824
00:39:42,440 --> 00:39:44,480
Speaker 6: rezoning on fifty third.

825
00:39:44,320 --> 00:39:46,640
Speaker 2: For well, I live on sixty third.

826
00:39:47,719 --> 00:39:51,120
Speaker 6: Again, we're here to hear comments about the rezoning.

827
00:39:51,600 --> 00:39:57,080
Speaker 3: Well, I don't like Facebook and I don't like the

828
00:39:57,239 --> 00:39:59,919
Speaker 3: Internet because I can't find a job.

829
00:40:00,960 --> 00:40:03,480
Speaker 2: The library blocked my password.

830
00:40:04,120 --> 00:40:07,040
Speaker 6: Now tell me, does that make any sense to you?

831
00:40:07,480 --> 00:40:11,600
Speaker 1: That sound like any city county council meeting happening in

832
00:40:11,640 --> 00:40:12,160
Speaker 1: your neighbor.

833
00:40:12,200 --> 00:40:14,480
Speaker 3: If you've ever seen the TV show Play Comment Parks

834
00:40:14,520 --> 00:40:18,799
Speaker 3: and Rec, yeah, they would regularly have scenes where they're

835
00:40:18,840 --> 00:40:21,320
Speaker 3: at a you know, just a city county council meeting

836
00:40:21,320 --> 00:40:23,400
Speaker 3: and have the public come and speaking. And that was

837
00:40:23,480 --> 00:40:26,319
Speaker 3: exactly like that is straight from Parks and Rec.

838
00:40:26,480 --> 00:40:29,759
Speaker 1: I don't know why I'm here, neither do we.

839
00:40:30,000 --> 00:40:32,080
Speaker 2: Man. This is a Wendy's yeah, all right.

840
00:40:31,960 --> 00:40:33,800
Speaker 1: It's time for us to go. And I wanted to

841
00:40:33,880 --> 00:40:38,120
Speaker 1: leave on this note because it was yesterday, in nineteen

842
00:40:38,160 --> 00:40:41,840
Speaker 1: eighty two that Queen made their one and only appearance

843
00:40:41,880 --> 00:40:46,160
Speaker 1: on Saturday Night Live and they sang under pressure, something

844
00:40:46,239 --> 00:40:49,359
Speaker 1: we're all feeling these days. Thank you, Jim for being here,

845
00:40:49,600 --> 00:40:52,680
Speaker 1: Kevin Capital job, thank you very much, and thank you

846
00:40:52,719 --> 00:40:55,000
Speaker 1: for listening. This has been the Kendall and Casey Show.

847
00:40:55,239 --> 00:41:01,520
Speaker 1: It's ninety three WIBC under Fressa

848
00:41:05,239 --> 00:41:06,520
Speaker 2: Fressan