1
00:00:00,040 --> 00:00:02,840
Speaker 1: It's sponsorship time. But you know what, it's really great

2
00:00:02,880 --> 00:00:06,040
Speaker 1: when you get a sponsor that you already use. And

3
00:00:06,120 --> 00:00:09,119
Speaker 1: guess what. Quint's is something that in the Todd household

4
00:00:09,200 --> 00:00:10,920
Speaker 1: we already go to. Why do we go to Quint's

5
00:00:10,920 --> 00:00:13,160
Speaker 1: Because it's a place you go where you can get

6
00:00:13,200 --> 00:00:16,680
Speaker 1: some really nice clothes without the really expensive prices. And

7
00:00:17,040 --> 00:00:18,840
Speaker 1: one of the things I've been going through is I've

8
00:00:18,880 --> 00:00:22,120
Speaker 1: transitioned from being mister cot and ty guy to wanting

9
00:00:22,400 --> 00:00:25,360
Speaker 1: a little more casual but to look nice doing it.

10
00:00:25,400 --> 00:00:27,880
Speaker 1: Is I've become mister quarter zip guy. Well guess what.

11
00:00:28,040 --> 00:00:31,920
Speaker 1: Guess who's got amazing amounts of quarter zips? It is Quints.

12
00:00:32,479 --> 00:00:36,000
Speaker 1: I have gotten quite a few already from there. The

13
00:00:36,040 --> 00:00:40,720
Speaker 1: stuff's really nice. They have Mongolian cashmere sweaters for fifty dollars.

14
00:00:40,840 --> 00:00:43,320
Speaker 1: I just know, hey, cashmere, that's pretty good. You don't

15
00:00:43,320 --> 00:00:46,400
Speaker 1: normally get that for fifty bucks or less. Italian wool

16
00:00:46,440 --> 00:00:49,279
Speaker 1: coats that look and feel like designer the stuff. I'll

17
00:00:49,280 --> 00:00:51,160
Speaker 1: be honest, right, you look at it online, you think, okay,

18
00:00:51,200 --> 00:00:52,680
Speaker 1: is this really as nice as it looks? Well, when

19
00:00:52,680 --> 00:00:54,600
Speaker 1: I got it, I was like, oh, this is real quality.

20
00:00:54,680 --> 00:00:57,080
Speaker 1: So yeah, I'm going to end up making sure I

21
00:00:57,120 --> 00:00:59,080
Speaker 1: take it to my dry cleaner so I don't screw

22
00:00:59,080 --> 00:01:02,160
Speaker 1: it up when I clean it. But I've been quite impressed.

23
00:01:02,160 --> 00:01:05,560
Speaker 1: In Hey, it's holiday season. It is impossible to shop

24
00:01:06,000 --> 00:01:08,760
Speaker 1: for us middle aged men. I know this well. Tell

25
00:01:08,800 --> 00:01:12,480
Speaker 1: your kids, tell your spouses, tell your partners. Try Quints,

26
00:01:12,720 --> 00:01:14,760
Speaker 1: or if you're trying to figure out what to get

27
00:01:14,800 --> 00:01:17,839
Speaker 1: your adult child, what to get your mom or dad,

28
00:01:18,000 --> 00:01:20,240
Speaker 1: I'm telling you you're gonna find something that is going

29
00:01:20,319 --> 00:01:23,039
Speaker 1: to be comfortable for them on Quints. So get your

30
00:01:23,080 --> 00:01:27,160
Speaker 1: wardrobe sorted and your gift list handled with Quints. Don't wait.

31
00:01:27,240 --> 00:01:30,440
Speaker 1: Go to quints dot com slash chuck for free shipping

32
00:01:30,480 --> 00:01:32,720
Speaker 1: on your order and three hundred and sixty five day

33
00:01:32,800 --> 00:01:36,800
Speaker 1: returns now available in Canada as well. That's qui nce

34
00:01:37,319 --> 00:01:41,320
Speaker 1: dot com, slash chuck, free shipping and three hundred and

35
00:01:41,400 --> 00:01:46,440
Speaker 1: sixty five day returns quints dot com slash chuck. Use

36
00:01:46,520 --> 00:01:53,760
Speaker 1: that code. Hello, They're happy Thursday and welcome to another

37
00:01:53,840 --> 00:01:58,040
Speaker 1: episode of the Chuck Podcast. Our third episode of the week,

38
00:01:58,080 --> 00:02:00,080
Speaker 1: which means this is our big weekend episode of a

39
00:02:00,200 --> 00:02:04,800
Speaker 1: terrific guest on a topic that I think is getting

40
00:02:04,800 --> 00:02:10,440
Speaker 1: more and more attention. And conversation and it's about screen

41
00:02:10,639 --> 00:02:16,480
Speaker 1: time and our kids. Interviewing Julie shell Foe. She is

42
00:02:16,560 --> 00:02:20,760
Speaker 1: the founder, former journalist, but the founder of an organization

43
00:02:20,880 --> 00:02:26,680
Speaker 1: called Mama Mothers Against Media Addiction. It is modeled after

44
00:02:27,000 --> 00:02:30,160
Speaker 1: Mad Mothers Against Drunk Driving and it is simply that

45
00:02:30,840 --> 00:02:37,519
Speaker 1: just trying to focus on getting screens out of schools,

46
00:02:37,560 --> 00:02:42,000
Speaker 1: not just you know, cell phone bands and schools, which

47
00:02:42,080 --> 00:02:44,079
Speaker 1: of course is you know, when you think about how

48
00:02:44,080 --> 00:02:47,240
Speaker 1: hard it is to get our two parties to agree

49
00:02:47,280 --> 00:02:50,240
Speaker 1: on anything about the one thing this year where there

50
00:02:50,280 --> 00:02:53,360
Speaker 1: has been bipartisan agreement on a policy idea, it has

51
00:02:53,400 --> 00:02:57,919
Speaker 1: been cell phone bands and schools, and the early metrics

52
00:02:58,400 --> 00:03:01,160
Speaker 1: in the places that implemented it first, you're already seeing

53
00:03:01,200 --> 00:03:05,160
Speaker 1: at least some evidence of teachers saying students are paying

54
00:03:05,160 --> 00:03:08,120
Speaker 1: more attention and test scores being up, and you know,

55
00:03:08,160 --> 00:03:10,360
Speaker 1: we'll see again it's it's it's a it's a small

56
00:03:10,400 --> 00:03:12,760
Speaker 1: sample size of the of the early adopters of this,

57
00:03:14,280 --> 00:03:17,440
Speaker 1: but it goes further than just phones and schools. As

58
00:03:17,480 --> 00:03:21,200
Speaker 1: I said, you know, this has to do with iPads

59
00:03:21,240 --> 00:03:24,560
Speaker 1: and you know, using devices and you know, what's the line.

60
00:03:24,639 --> 00:03:31,320
Speaker 1: And in this case, Julie makes a pretty uh, a

61
00:03:31,360 --> 00:03:37,160
Speaker 1: pretty credible case as to why even using screens, you know,

62
00:03:37,320 --> 00:03:41,800
Speaker 1: using school iPads, that there's got to be an age

63
00:03:41,840 --> 00:03:45,040
Speaker 1: where we don't do it until, you know, maybe it's,

64
00:03:46,000 --> 00:03:48,040
Speaker 1: you know, ninth grade, maybe it you know, you don't

65
00:03:48,080 --> 00:03:51,320
Speaker 1: get your first device as a teaching tool until eighth

66
00:03:51,400 --> 00:03:54,160
Speaker 1: or ninth grade, something like that. But to at least

67
00:03:54,160 --> 00:03:57,480
Speaker 1: have some sort of marker here, we've seen Ram Emmanuel

68
00:03:57,560 --> 00:04:02,000
Speaker 1: became the first major potential presidential candidate in twenty twenty

69
00:04:02,040 --> 00:04:05,480
Speaker 1: eight to call for a you know, a nationwide band,

70
00:04:05,520 --> 00:04:08,080
Speaker 1: which is what of course Australia is trying to implement,

71
00:04:08,360 --> 00:04:11,360
Speaker 1: I believe in just the last couple of days. So

72
00:04:12,640 --> 00:04:18,600
Speaker 1: it is the relationship with tech and our lives in

73
00:04:18,680 --> 00:04:21,520
Speaker 1: many ways I think is going to continue to be.

74
00:04:21,600 --> 00:04:24,360
Speaker 1: I mean, look, the economy is obviously first and foremost

75
00:04:24,400 --> 00:04:28,040
Speaker 1: in any campaign year. Healthcare is always a part of that.

76
00:04:28,839 --> 00:04:34,640
Speaker 1: But after those two issues, the impact of tech on

77
00:04:34,839 --> 00:04:37,839
Speaker 1: all of our lives, whether it's screen time and our kids,

78
00:04:38,200 --> 00:04:41,839
Speaker 1: whether it's AI and the and the fear of AI

79
00:04:42,000 --> 00:04:49,159
Speaker 1: job displacement, the the you know, the impact of Silicon

80
00:04:49,279 --> 00:04:52,400
Speaker 1: Valley and big tech in our lives is something it's

81
00:04:52,560 --> 00:04:56,479
Speaker 1: clear more Americans want more control over this. There's this

82
00:04:56,640 --> 00:04:59,640
Speaker 1: feeling that you don't you know when you the reason

83
00:04:59,680 --> 00:05:04,240
Speaker 1: I think you're seeing this growing bipartisan sort of revolt

84
00:05:04,279 --> 00:05:07,680
Speaker 1: and pushback. I mean, even look at the pushback that's

85
00:05:07,720 --> 00:05:10,480
Speaker 1: taking place inside the Republican Party where Donald Trump is

86
00:05:10,520 --> 00:05:13,839
Speaker 1: saying he wants to sign an executive order that prevents

87
00:05:13,920 --> 00:05:19,280
Speaker 1: any state from trying to put regulation on the AI industry.

88
00:05:20,080 --> 00:05:22,719
Speaker 1: And immediately, you know, they tried to put it in

89
00:05:22,800 --> 00:05:25,039
Speaker 1: the government. You know, they try to get it in

90
00:05:25,120 --> 00:05:27,760
Speaker 1: the bill to reopen the government, and there wasn't the

91
00:05:27,800 --> 00:05:30,560
Speaker 1: votes for that, and there was a total revolt on that.

92
00:05:31,880 --> 00:05:34,440
Speaker 1: But even on this, I mean, you have Ron de Santis,

93
00:05:35,279 --> 00:05:38,680
Speaker 1: the governor Florida, unveiled He's already unveiled his own what

94
00:05:38,720 --> 00:05:41,560
Speaker 1: he calls here, I'm reading it here a citizen's Bill

95
00:05:41,600 --> 00:05:47,760
Speaker 1: of Rights for artificial intelligence. And the proposals he's presenting

96
00:05:48,040 --> 00:05:50,040
Speaker 1: are the types of things that a lot of lawmakers

97
00:05:50,120 --> 00:05:53,160
Speaker 1: left and right would like to be talking about, including

98
00:05:53,640 --> 00:05:58,000
Speaker 1: protecting consumers from from anxiety inducing things like deep fakes,

99
00:05:58,080 --> 00:06:03,320
Speaker 1: data collections, chat box, it's engaging with minors, chatbots posing

100
00:06:03,320 --> 00:06:08,520
Speaker 1: as mental health experts. You know how to deal with

101
00:06:08,680 --> 00:06:13,000
Speaker 1: fraudulent use of our names and likeness. You have the

102
00:06:13,080 --> 00:06:17,120
Speaker 1: revolt of people thinking that these data centers are the

103
00:06:17,160 --> 00:06:21,200
Speaker 1: reasons why our electricity bills are spiking all over the country.

104
00:06:21,200 --> 00:06:23,800
Speaker 1: There certainly appears to be a direct correlation, for instance,

105
00:06:23,800 --> 00:06:27,440
Speaker 1: in the state I live in Virginia. So it is

106
00:06:27,920 --> 00:06:30,000
Speaker 1: you know, I think it is worth noting how much

107
00:06:30,080 --> 00:06:32,440
Speaker 1: this is more than just you know, in some ways,

108
00:06:32,480 --> 00:06:35,880
Speaker 1: sometimes I bring it up as very singular issues, you know,

109
00:06:35,880 --> 00:06:37,080
Speaker 1: when it comes to well, what are we going to

110
00:06:37,160 --> 00:06:39,200
Speaker 1: do about AI job displacement, what are we going to

111
00:06:39,200 --> 00:06:41,080
Speaker 1: do about these data centers? Or what are we going

112
00:06:41,160 --> 00:06:43,880
Speaker 1: to do about you know, kids in schools. There is

113
00:06:43,920 --> 00:06:47,359
Speaker 1: a larger sort of tech in our lives, right, and

114
00:06:47,520 --> 00:06:50,400
Speaker 1: there is a growing feeling that we have less and

115
00:06:50,480 --> 00:06:54,719
Speaker 1: less choice of how do we how tech interacts with us.

116
00:06:54,760 --> 00:06:58,920
Speaker 1: And I think, you know, that's it's almost a universal

117
00:06:59,720 --> 00:07:03,080
Speaker 1: sort of political complaint, right. You will get a revolt

118
00:07:03,120 --> 00:07:06,960
Speaker 1: of the masses when there is a feeling that control

119
00:07:07,000 --> 00:07:09,280
Speaker 1: that they used to have they no longer have, right,

120
00:07:09,400 --> 00:07:11,560
Speaker 1: control that we all used to have. We feel as

121
00:07:11,600 --> 00:07:14,240
Speaker 1: if we no longer have I mean, you know, I

122
00:07:14,280 --> 00:07:18,200
Speaker 1: go back take the there's a there's a there's a

123
00:07:18,200 --> 00:07:20,360
Speaker 1: movement to try to sort of flip the script on

124
00:07:20,400 --> 00:07:25,360
Speaker 1: the Internet. Right, instead of us having to agree to

125
00:07:25,440 --> 00:07:29,600
Speaker 1: terms and conditions to use apps that big tech asks

126
00:07:29,720 --> 00:07:32,880
Speaker 1: us to click yes on that, it's the other way

127
00:07:32,880 --> 00:07:35,440
Speaker 1: around that when they want access to our data, they

128
00:07:35,480 --> 00:07:38,040
Speaker 1: have to ask us permission. Right. It's a little bit

129
00:07:38,080 --> 00:07:40,440
Speaker 1: what the Europeans have been trying to do and their

130
00:07:40,480 --> 00:07:46,000
Speaker 1: ability to regulate interactions between social media or AI and

131
00:07:46,560 --> 00:07:51,920
Speaker 1: the general public. But this is, you know, none of

132
00:07:51,920 --> 00:07:56,400
Speaker 1: this is unpopular, right, And it is interesting to watch

133
00:07:56,400 --> 00:07:59,600
Speaker 1: the Trump administration wanting to barrel through. They've gone they

134
00:07:59,600 --> 00:08:03,840
Speaker 1: have sort of are they they want government and AI

135
00:08:03,920 --> 00:08:07,240
Speaker 1: to be fused together. They bought they accept the premise

136
00:08:07,960 --> 00:08:12,440
Speaker 1: that America has to win the AI race. Right. I

137
00:08:12,440 --> 00:08:18,880
Speaker 1: think a lot of the AI tech founders have convinced

138
00:08:20,000 --> 00:08:24,200
Speaker 1: the Trump administration that if they attempt any restrictions, China

139
00:08:24,280 --> 00:08:27,320
Speaker 1: is going to win the I race. And it's it's

140
00:08:27,360 --> 00:08:30,800
Speaker 1: like it's the plot of the most recent Mission Impossible. Right,

141
00:08:30,840 --> 00:08:34,800
Speaker 1: whoever gets to the finish line first suddenly controls the globe.

142
00:08:34,880 --> 00:08:38,520
Speaker 1: Right is sort of the fear I think that has

143
00:08:38,600 --> 00:08:41,920
Speaker 1: been presented to the Trump administration and may explain why

144
00:08:42,800 --> 00:08:48,560
Speaker 1: they're going along with this idea. And of course I

145
00:08:48,559 --> 00:08:50,680
Speaker 1: think there's a reason there's a lot of us that

146
00:08:50,720 --> 00:08:55,440
Speaker 1: are very skeptical of just racing down this road. You know,

147
00:08:55,559 --> 00:08:59,960
Speaker 1: if you like the way the tech companies introduce social

148
00:09:00,120 --> 00:09:04,240
Speaker 1: media into society, then by all means, let them go

149
00:09:05,040 --> 00:09:10,200
Speaker 1: unrestricted introducing artificial intelligence into society. But if we look

150
00:09:10,280 --> 00:09:13,840
Speaker 1: at what social media has done and we look at

151
00:09:13,880 --> 00:09:17,800
Speaker 1: it as a failure, not a success. And that's the thing,

152
00:09:17,600 --> 00:09:23,679
Speaker 1: is social media been a success or a failure? If

153
00:09:24,000 --> 00:09:27,480
Speaker 1: in some ways there are successful elements to it, there

154
00:09:27,520 --> 00:09:30,280
Speaker 1: are plenty of people that have made money off of it.

155
00:09:30,280 --> 00:09:35,520
Speaker 1: It has certainly allowed more access to influence and attention

156
00:09:35,720 --> 00:09:41,400
Speaker 1: from around the world, but it is destroyed truth. Right.

157
00:09:41,640 --> 00:09:45,360
Speaker 1: Why do we have so much skepticism about truth where

158
00:09:45,400 --> 00:09:47,520
Speaker 1: we're having a debate about what is true and what

159
00:09:47,679 --> 00:09:51,240
Speaker 1: isn't could arguably blame the algorithms and social media. And

160
00:09:51,280 --> 00:09:56,800
Speaker 1: so to me, it's not surprising that you have an

161
00:09:56,840 --> 00:10:02,520
Speaker 1: electorate that it won't take much to fire up against

162
00:10:02,520 --> 00:10:07,040
Speaker 1: the forces of Silicon Valley, because when you start to

163
00:10:07,080 --> 00:10:11,200
Speaker 1: say do you want to have artificial intelligence introduced into

164
00:10:11,280 --> 00:10:14,120
Speaker 1: society in a similar way that social media was. Or

165
00:10:14,200 --> 00:10:16,480
Speaker 1: do you want more guard rails? I promise you you

166
00:10:16,600 --> 00:10:20,120
Speaker 1: probably get seventy to eighty percent supporting that. No, there

167
00:10:20,160 --> 00:10:23,200
Speaker 1: better be more guard rails as we introduce artificial intelligence

168
00:10:23,200 --> 00:10:28,360
Speaker 1: into society than there was during social media. And so

169
00:10:28,480 --> 00:10:30,800
Speaker 1: you put all this together and you can start to

170
00:10:30,880 --> 00:10:33,200
Speaker 1: see and I still think this is not going you know,

171
00:10:33,720 --> 00:10:36,199
Speaker 1: I think these will be debate talking points in twenty

172
00:10:36,240 --> 00:10:41,160
Speaker 1: twenty six. I think you will certainly see various candidates

173
00:10:42,000 --> 00:10:45,520
Speaker 1: test driving some of these things. A citizen bill of

174
00:10:45,600 --> 00:10:51,320
Speaker 1: rights on when it comes to the implementation of artificial

175
00:10:51,320 --> 00:10:54,200
Speaker 1: intelligence will certainly, I think pop up in governor's races

176
00:10:54,200 --> 00:10:57,360
Speaker 1: in particular, and this cycle will have is the big

177
00:10:57,400 --> 00:11:01,480
Speaker 1: cycle for governor's races. I do think it'll be really

178
00:11:01,520 --> 00:11:04,840
Speaker 1: the presidential campaign that'll make this more of a national issue, right,

179
00:11:04,840 --> 00:11:08,640
Speaker 1: because that's when you're gonna you know, there'll be when

180
00:11:08,640 --> 00:11:10,839
Speaker 1: it comes to the job displacement issue, I think that

181
00:11:11,200 --> 00:11:14,360
Speaker 1: is what will feel more front center. And then of

182
00:11:14,360 --> 00:11:16,080
Speaker 1: course we want to see what is the state of

183
00:11:16,080 --> 00:11:18,000
Speaker 1: this economy. Right, this is an economy that is not

184
00:11:18,040 --> 00:11:26,319
Speaker 1: a good economy, but it is being essentially rescued right

185
00:11:26,320 --> 00:11:29,920
Speaker 1: now by AI investment. Right, you have a whole bunch

186
00:11:29,960 --> 00:11:35,520
Speaker 1: of you know, I talked to one smart observer of

187
00:11:36,080 --> 00:11:40,960
Speaker 1: the financial and a trained economist who said to me today,

188
00:11:41,040 --> 00:11:44,680
Speaker 1: actually that we're already in a recession. We just haven't

189
00:11:44,840 --> 00:11:48,360
Speaker 1: you know, the numbers just aren't out yet, and it won't.

190
00:11:48,520 --> 00:11:51,800
Speaker 1: You know, it looks like productivity is doing okay because

191
00:11:51,840 --> 00:11:54,680
Speaker 1: of just how much investment the sort of the six

192
00:11:54,800 --> 00:11:57,960
Speaker 1: or seven largest companies in the world are making into

193
00:11:58,080 --> 00:12:02,080
Speaker 1: artificial intelligence. It's essentially up and up America's GDP. It's

194
00:12:02,120 --> 00:12:05,439
Speaker 1: sort of propping all these things up. So it's masking

195
00:12:06,080 --> 00:12:10,080
Speaker 1: what is likely a recession for half the country. Right

196
00:12:11,200 --> 00:12:13,120
Speaker 1: there are parts of the you know, there's certainly the

197
00:12:13,160 --> 00:12:15,440
Speaker 1: one percent and those with some savings and some money

198
00:12:15,440 --> 00:12:18,800
Speaker 1: in the stock demartment. They are they are not experiencing

199
00:12:19,040 --> 00:12:23,120
Speaker 1: the recession. But for the for the other half of America,

200
00:12:23,600 --> 00:12:27,360
Speaker 1: they are experiencing recession. Right there. They have costs or

201
00:12:27,360 --> 00:12:31,400
Speaker 1: too much. Right, you have an affordability issue on health care,

202
00:12:31,440 --> 00:12:34,560
Speaker 1: and affordability issue and groceries, and affordability issue on housing.

203
00:12:35,000 --> 00:12:37,880
Speaker 1: These are things that you just can't skip. You can't

204
00:12:37,960 --> 00:12:43,840
Speaker 1: pinch pennies on right, you might be able to you

205
00:12:43,960 --> 00:12:46,640
Speaker 1: might be able to skip some things and try to

206
00:12:46,679 --> 00:12:50,439
Speaker 1: save money in certain places, it's not like you can

207
00:12:50,480 --> 00:12:55,600
Speaker 1: delay paying a health insurance premium and and risk to

208
00:12:55,640 --> 00:13:00,360
Speaker 1: go without health care. So this affordability crisis and this

209
00:13:00,520 --> 00:13:06,160
Speaker 1: recessionary feel that those that don't have that are paycheck

210
00:13:06,200 --> 00:13:08,040
Speaker 1: to paycheck, that don't have a bunch of savings in

211
00:13:08,080 --> 00:13:14,520
Speaker 1: the stock market is pretty acute, which transitions me pretty

212
00:13:14,520 --> 00:13:19,000
Speaker 1: well to what was, you know, another debacle by Trump

213
00:13:19,040 --> 00:13:23,280
Speaker 1: and this economy and his rally in Pennsylvania. Every time

214
00:13:23,960 --> 00:13:26,960
Speaker 1: this administration over the last couple of weeks, frankly, it's

215
00:13:26,960 --> 00:13:28,960
Speaker 1: been about two or three months that they try to

216
00:13:29,080 --> 00:13:31,880
Speaker 1: get you know, it's clear his own staff realizes they

217
00:13:31,880 --> 00:13:33,920
Speaker 1: have at least they have a political problem, if not

218
00:13:33,960 --> 00:13:37,040
Speaker 1: a real problem. Right, they know they have a political

219
00:13:37,080 --> 00:13:39,920
Speaker 1: problem messaging on the economy. And how do I know

220
00:13:40,000 --> 00:13:44,320
Speaker 1: that they all know? Because JD. Vance on Wednesday morning

221
00:13:45,360 --> 00:13:50,239
Speaker 1: basically was desperately trying to re explain Trump's comments from

222
00:13:50,880 --> 00:13:53,520
Speaker 1: Pennsylvania where he started calling it a hoax and then

223
00:13:53,520 --> 00:13:57,200
Speaker 1: he started, I mean to me, he went down this

224
00:13:57,280 --> 00:14:02,360
Speaker 1: road again where okay, well, you know, you know, your

225
00:14:02,360 --> 00:14:04,960
Speaker 1: little girl doesn't need thirty seven dollars, they can handle one.

226
00:14:05,040 --> 00:14:08,280
Speaker 1: Your child doesn't need fifty pencils, they can just have

227
00:14:08,360 --> 00:14:12,080
Speaker 1: one or two. It is such a tone deaf Let

228
00:14:12,120 --> 00:14:15,320
Speaker 1: them eat cake, mindset. Right, It's as if we have

229
00:14:15,400 --> 00:14:24,080
Speaker 1: President Marie Antoinette here, and it really rings as super

230
00:14:24,080 --> 00:14:27,480
Speaker 1: out of touch. And it's clear you of people like

231
00:14:28,120 --> 00:14:30,680
Speaker 1: Jade Vance realizing how bad this is. So he tweets

232
00:14:30,720 --> 00:14:33,320
Speaker 1: this morning, which is just the fun. I'm gonna read

233
00:14:33,360 --> 00:14:36,680
Speaker 1: his tweet, and then Joe Biden's insane policies left American

234
00:14:36,680 --> 00:14:39,360
Speaker 1: families unable to afford a decent living in their own country.

235
00:14:39,800 --> 00:14:42,680
Speaker 1: Through tax cuts, better paying jobs, and investment in American industry,

236
00:14:42,720 --> 00:14:45,520
Speaker 1: prisoner Trump is making America affordable again for working families,

237
00:14:45,560 --> 00:14:47,960
Speaker 1: one step at a time. Right. They're trying so hard

238
00:14:47,960 --> 00:14:50,840
Speaker 1: to explain this economy, but they're making the same mistake

239
00:14:52,200 --> 00:14:58,880
Speaker 1: that the Biden White House made, which is, hey, you

240
00:14:58,880 --> 00:15:01,120
Speaker 1: you feel like this economy and good, You're wrong. This

241
00:15:01,200 --> 00:15:03,680
Speaker 1: economy is doing We're doing really well, and it's healing,

242
00:15:03,720 --> 00:15:05,760
Speaker 1: and this is happening, and this is happening. You know.

243
00:15:05,800 --> 00:15:08,240
Speaker 1: In Biden's case, he kept leaning on, look at all

244
00:15:08,280 --> 00:15:10,160
Speaker 1: the new jobs that are being created, look at all

245
00:15:10,200 --> 00:15:13,480
Speaker 1: the money that's being invested. Well, in some ways, Trump

246
00:15:13,560 --> 00:15:15,200
Speaker 1: is trying to make the Trump and Vance are trying

247
00:15:15,200 --> 00:15:17,200
Speaker 1: to make the same case. Hey, you know, we're spending

248
00:15:17,240 --> 00:15:19,400
Speaker 1: all this money and we cut your taxes, and oh,

249
00:15:19,440 --> 00:15:21,200
Speaker 1: by the way, look at the stock market and look

250
00:15:21,200 --> 00:15:26,440
Speaker 1: at all these deals that we're doing, but pay no

251
00:15:26,480 --> 00:15:31,240
Speaker 1: attention to how tariffs are increasing your every day your

252
00:15:31,240 --> 00:15:36,400
Speaker 1: everyday bills. So the trumpet, the Trump White House is

253
00:15:37,040 --> 00:15:40,520
Speaker 1: walking into appears to be the same trap as Biden there,

254
00:15:40,680 --> 00:15:45,080
Speaker 1: you know, want to tell the public, don't don't believe

255
00:15:45,080 --> 00:15:48,320
Speaker 1: what you're feeling. That's essentially right. It was essentially the

256
00:15:48,360 --> 00:15:51,920
Speaker 1: message that Biden was communicating on the economy, that Harris

257
00:15:51,960 --> 00:15:55,280
Speaker 1: was communicating on the economy, until they realized now they

258
00:15:55,280 --> 00:15:57,360
Speaker 1: had to be they had to sort of do a

259
00:15:57,360 --> 00:16:00,400
Speaker 1: little I feel your pain. You know, Vance here trying

260
00:16:00,440 --> 00:16:02,720
Speaker 1: to do a little bit of I feel your pain.

261
00:16:03,120 --> 00:16:06,520
Speaker 1: But Trump wasn't going to go there under and if anything,

262
00:16:06,640 --> 00:16:13,640
Speaker 1: he sounded dismissive and defensive. And that's just you know,

263
00:16:13,720 --> 00:16:19,520
Speaker 1: this we've we've already seen in you know, another week,

264
00:16:19,840 --> 00:16:25,400
Speaker 1: another election that indicates that Republicans are troubled there's a

265
00:16:25,440 --> 00:16:28,480
Speaker 1: reason results matter more than promises, just like there's a

266
00:16:28,520 --> 00:16:31,880
Speaker 1: reason Morgan and Morgan is America's largest injury law firm.

267
00:16:32,200 --> 00:16:34,920
Speaker 1: For the last thirty five years, they've recovered twenty five

268
00:16:35,040 --> 00:16:38,080
Speaker 1: billion dollars for more than half a million clients. It

269
00:16:38,120 --> 00:16:41,920
Speaker 1: includes cases where insurance companies offered next to nothing, just

270
00:16:42,040 --> 00:16:44,640
Speaker 1: hoping to get away with paying as little as possible.

271
00:16:44,720 --> 00:16:47,800
Speaker 1: Morgan and Morgan fought back ended up winning millions. In fact,

272
00:16:47,880 --> 00:16:51,000
Speaker 1: in Pennsylvania, one client was awarded twenty six million dollars,

273
00:16:51,480 --> 00:16:54,520
Speaker 1: which was a staggering forty times the amount that the

274
00:16:54,520 --> 00:16:57,840
Speaker 1: insurance company originally offered. That original offer six hundred and

275
00:16:57,840 --> 00:17:00,840
Speaker 1: fifty thousand dollars twenty six million, six hundred and fifty

276
00:17:00,880 --> 00:17:03,080
Speaker 1: thousand dollars. So with more than a thousand lawyers across

277
00:17:03,080 --> 00:17:05,560
Speaker 1: the country, they know how to deliver for everyday people.

278
00:17:05,640 --> 00:17:08,320
Speaker 1: If you're injured, you need a lawyer. You need somebody

279
00:17:08,359 --> 00:17:10,920
Speaker 1: to get your back. Check out for the People dot com,

280
00:17:10,920 --> 00:17:15,560
Speaker 1: Slash podcast or Dow Pound Law Pound five to two

281
00:17:15,800 --> 00:17:19,480
Speaker 1: nine law on your cell phone. And remember all law

282
00:17:19,520 --> 00:17:21,680
Speaker 1: firms are not the same, So check out Morgan and Morgan.

283
00:17:21,800 --> 00:17:27,800
Speaker 1: Their fee is free unless they win special elections and

284
00:17:27,840 --> 00:17:31,879
Speaker 1: runoffs that took place on Tuesday. The most prominent race

285
00:17:32,600 --> 00:17:34,760
Speaker 1: was the City of Miami mayor. And for those of

286
00:17:34,800 --> 00:17:38,520
Speaker 1: you are wondering, Miami Dade County elects a county mayor.

287
00:17:38,600 --> 00:17:43,159
Speaker 1: That is a very powerful position. It's a strong mayor.

288
00:17:43,200 --> 00:17:46,920
Speaker 1: It's a huge budget. Miami Dade County's budget is bigger

289
00:17:46,960 --> 00:17:52,120
Speaker 1: than many states, you know, probably nearly half the states.

290
00:17:52,160 --> 00:17:55,520
Speaker 1: It is that large and complicated a county, the City

291
00:17:55,600 --> 00:17:58,720
Speaker 1: of Miami and the City of Miami mayor. City of

292
00:17:58,720 --> 00:18:03,520
Speaker 1: Miami is a is one of thirty plus incorporated cities

293
00:18:03,560 --> 00:18:07,160
Speaker 1: within Miami Dade County, but it does have the brand

294
00:18:07,800 --> 00:18:11,639
Speaker 1: City of Miami, so is the Mayor of Miami, you know,

295
00:18:11,720 --> 00:18:15,120
Speaker 1: when which is for those you know, there's the mayor

296
00:18:15,160 --> 00:18:17,600
Speaker 1: of Miami Dade County and then there's the mayor of

297
00:18:17,680 --> 00:18:19,879
Speaker 1: the City of Miami. So this was a runoff for

298
00:18:19,960 --> 00:18:21,480
Speaker 1: the mayor of the City of Miami. Now in the

299
00:18:21,480 --> 00:18:25,360
Speaker 1: City of Miami, it's it is there is a strong,

300
00:18:26,600 --> 00:18:31,480
Speaker 1: large Cuban American population, and you've had nearly a generation

301
00:18:31,680 --> 00:18:35,800
Speaker 1: of Cuban Republicans who have won that mayor's rate won

302
00:18:35,840 --> 00:18:37,960
Speaker 1: that office over and over by the way the office itself,

303
00:18:38,000 --> 00:18:40,760
Speaker 1: it's considered a weak mayor position. It's a part time job.

304
00:18:41,200 --> 00:18:43,560
Speaker 1: If you recall, the previous mayor of Francis Suarez had

305
00:18:43,560 --> 00:18:47,560
Speaker 1: all sorts of jobs, private sector jobs that he was

306
00:18:47,960 --> 00:18:51,680
Speaker 1: that he held while simultaneously being mayor. He got a

307
00:18:51,720 --> 00:18:55,480
Speaker 1: little brazen about it, so it gathered a lot more attention.

308
00:18:56,280 --> 00:18:59,320
Speaker 1: But it's considered a part time job, and it is

309
00:18:59,400 --> 00:19:01,679
Speaker 1: allowed to have other jobs. But the point is is

310
00:19:01,720 --> 00:19:06,440
Speaker 1: that that's how quote unquote small the job is. And it's

311
00:19:06,560 --> 00:19:08,400
Speaker 1: and like I said, it's a weak mare system, which

312
00:19:08,400 --> 00:19:12,840
Speaker 1: means you're just you've got the title, but you're essentially no.

313
00:19:12,840 --> 00:19:16,720
Speaker 1: No had the same amount of power as a city

314
00:19:16,760 --> 00:19:21,680
Speaker 1: council person that's elected. So but symbolically it's a big deal.

315
00:19:21,840 --> 00:19:24,160
Speaker 1: And it's the first time Democrats have won the mayor's

316
00:19:24,200 --> 00:19:28,000
Speaker 1: race in over thirty years. Now, it is worth noting

317
00:19:28,080 --> 00:19:31,000
Speaker 1: Kamala Harris actually carried the city of Miami even as

318
00:19:31,080 --> 00:19:33,600
Speaker 1: Donald Trump carried the county of Miami Dade, which in

319
00:19:33,640 --> 00:19:41,000
Speaker 1: itself was a surprising development. So but the margin that

320
00:19:41,040 --> 00:19:43,040
Speaker 1: the Democrat won this race and the fact that it

321
00:19:43,080 --> 00:19:44,720
Speaker 1: was the first time in thirty years, and oh, by

322
00:19:44,720 --> 00:19:46,440
Speaker 1: the way, there was a special election that no one

323
00:19:46,480 --> 00:19:48,199
Speaker 1: was paying attention to in a state house seat in

324
00:19:48,200 --> 00:19:54,120
Speaker 1: Georgia that flipped a twenty plus point Trump district that flipped.

325
00:19:56,480 --> 00:19:59,200
Speaker 1: We're starting it's the same pattern. We'sa on Tennessee seven

326
00:19:59,280 --> 00:20:01,560
Speaker 1: and that special same pattern we saw in twenty twenty five.

327
00:20:01,600 --> 00:20:05,840
Speaker 1: There's somewhere between a ten to fifteen to in some

328
00:20:05,880 --> 00:20:09,920
Speaker 1: places twenty point overperformance by Democrats. Now, why is this happening? One,

329
00:20:11,040 --> 00:20:15,840
Speaker 1: you have fired up Democratic voters. Two Democratic voters in general.

330
00:20:16,080 --> 00:20:19,159
Speaker 1: Are Democrats now have the more reliable voters the voters

331
00:20:19,760 --> 00:20:23,800
Speaker 1: you know we're divided on education. It's another way of saying,

332
00:20:23,800 --> 00:20:27,800
Speaker 1: you know, who's paying attention to the minutia more so?

333
00:20:27,920 --> 00:20:32,120
Speaker 1: And who's who the voters that parachute in for presidential elections. Well,

334
00:20:32,320 --> 00:20:34,320
Speaker 1: the Democrats now have the line's share of the voters

335
00:20:34,359 --> 00:20:38,560
Speaker 1: that are paying attention to all political minutia versus Republicans

336
00:20:38,720 --> 00:20:42,760
Speaker 1: are the ones that we'll see it turnout spike now

337
00:20:42,800 --> 00:20:47,600
Speaker 1: in presidential years. It's a total reverse of what it was.

338
00:20:47,760 --> 00:20:50,000
Speaker 1: What it was for the eighties, nineties and even the

339
00:20:50,040 --> 00:20:52,720
Speaker 1: first part of the twenty first century. But we have

340
00:20:52,880 --> 00:20:57,240
Speaker 1: now seen this is as as sort of Trump created

341
00:20:57,240 --> 00:21:01,439
Speaker 1: a realignment of the party the way he did. The

342
00:21:01,560 --> 00:21:04,640
Speaker 1: less reliable voter who used to be more likely voting

343
00:21:04,680 --> 00:21:07,520
Speaker 1: Democrat than Republican. Now that less likely voter more likely

344
00:21:07,600 --> 00:21:11,440
Speaker 1: votes Republican the Democrat. Which is why Democrats are overperforming

345
00:21:11,560 --> 00:21:15,400
Speaker 1: in all these special elections, all these non presidential elections,

346
00:21:15,440 --> 00:21:18,200
Speaker 1: whether it was the Supreme Court race in Wisconsin right

347
00:21:18,240 --> 00:21:22,040
Speaker 1: after Trump got elected, or it's what we just saw

348
00:21:22,320 --> 00:21:25,000
Speaker 1: earlier this week in the city of Miami or in

349
00:21:25,040 --> 00:21:29,520
Speaker 1: the state of Georgia, the everyday regular voter is just

350
00:21:29,560 --> 00:21:31,760
Speaker 1: showing up and that it is benefiting Democrats. Then you

351
00:21:31,920 --> 00:21:37,400
Speaker 1: throw in what is a sort of a growing demoralized

352
00:21:37,440 --> 00:21:41,320
Speaker 1: base of the Republican Party. Right, it's best expressed of

353
00:21:41,440 --> 00:21:46,240
Speaker 1: watching what's happening in the House, where you have more

354
00:21:46,280 --> 00:21:51,480
Speaker 1: and more Republicans getting cranky about not having any plan

355
00:21:51,560 --> 00:21:57,800
Speaker 1: on healthcare. Apparently Mike Johnson seemed to hint that, oh,

356
00:21:57,840 --> 00:22:00,040
Speaker 1: you know, we're going to have a healthcare plan and

357
00:22:00,119 --> 00:22:04,640
Speaker 1: really soon, and you're like, you are, you've had let's see,

358
00:22:04,680 --> 00:22:08,240
Speaker 1: when did Obamacare pass. Obamacare passed in March of twenty ten,

359
00:22:08,320 --> 00:22:11,960
Speaker 1: so they've had Republicans have had fifteen years to come

360
00:22:12,040 --> 00:22:19,240
Speaker 1: up with a healthcare plan alternative, and what they just

361
00:22:19,320 --> 00:22:22,240
Speaker 1: in another week they'll finally have one. Let's just say,

362
00:22:22,280 --> 00:22:25,080
Speaker 1: there's quite a bit of skepticism on that, and it's

363
00:22:25,119 --> 00:22:28,960
Speaker 1: deserved skepticism. And at this point, it doesn't look like

364
00:22:29,000 --> 00:22:31,560
Speaker 1: they're going to get a healthcare compromise before the end

365
00:22:31,560 --> 00:22:34,360
Speaker 1: of the year. But I'll be honest, I think it's

366
00:22:34,480 --> 00:22:40,080
Speaker 1: gonna come. I told you I think in the earlier

367
00:22:40,119 --> 00:22:44,679
Speaker 1: episode earlier this week, the outlines of a potential compromise

368
00:22:44,800 --> 00:22:47,960
Speaker 1: that will probably be more to the liking of Democrats

369
00:22:47,960 --> 00:22:51,640
Speaker 1: and Republicans is coming together in the House, and at

370
00:22:51,640 --> 00:22:55,119
Speaker 1: some point it will take Donald Trump just saying go

371
00:22:55,160 --> 00:22:56,919
Speaker 1: ahead and pass it. I'll support it, and I'll give

372
00:22:56,960 --> 00:23:01,600
Speaker 1: you cover. That's still but we are now to the

373
00:23:01,640 --> 00:23:04,520
Speaker 1: point where it looks like these are going to expire

374
00:23:05,119 --> 00:23:08,280
Speaker 1: and they're going to have to retroactively end up giving

375
00:23:09,359 --> 00:23:14,200
Speaker 1: giving people the subsidies back. I am, you know, maybe

376
00:23:14,560 --> 00:23:17,240
Speaker 1: I'll be eating crow on this, but I'm still convinced

377
00:23:17,280 --> 00:23:21,879
Speaker 1: that something's going to pass. These subsidies are going to

378
00:23:21,960 --> 00:23:25,119
Speaker 1: get extended a year or two. I think the only

379
00:23:25,160 --> 00:23:29,520
Speaker 1: thing Republicans have effectively said no to is the full

380
00:23:29,680 --> 00:23:33,480
Speaker 1: as a three year extension, which is technically what Democrats

381
00:23:33,480 --> 00:23:36,639
Speaker 1: have been asking for. But somewhere in the in the

382
00:23:36,680 --> 00:23:41,040
Speaker 1: two year range one to two year range, it is coming.

383
00:23:41,320 --> 00:23:46,840
Speaker 1: It's just at what point does Trump cry uncle? And

384
00:23:47,000 --> 00:23:51,280
Speaker 1: at this point it's not clear that he's ready to

385
00:23:51,320 --> 00:23:55,240
Speaker 1: cry uncle just yet. Before I get to the interview

386
00:23:55,320 --> 00:24:00,679
Speaker 1: with Julie Chelfo and Mothers Against Media Addiction and Mama

387
00:24:00,920 --> 00:24:04,159
Speaker 1: as the acronym spells, I want to just weigh in

388
00:24:04,200 --> 00:24:08,760
Speaker 1: on two things that are sort of business business see

389
00:24:08,800 --> 00:24:14,880
Speaker 1: issues that I'm actually particularly with one issue, I want

390
00:24:14,880 --> 00:24:16,800
Speaker 1: to hear from you. I want to hear from the

391
00:24:16,840 --> 00:24:22,640
Speaker 1: listeners and viewers on two things. One do you pay

392
00:24:22,680 --> 00:24:27,879
Speaker 1: attention to the prediction markets i e. Polymarket or Calshi. Two?

393
00:24:27,920 --> 00:24:30,399
Speaker 1: If you do, what is it that you pay attention to?

394
00:24:30,720 --> 00:24:37,800
Speaker 1: Is cultural predictions? Is it sports predictions? Is it political predictions? Three?

395
00:24:38,880 --> 00:24:42,320
Speaker 1: Do you participate? You know so, I will make a

396
00:24:42,320 --> 00:24:45,840
Speaker 1: full confession. I participated for the very first time on

397
00:24:45,880 --> 00:24:49,399
Speaker 1: the Calshi markets over the weekend, and it had to

398
00:24:49,440 --> 00:24:52,600
Speaker 1: do with the I was doing it simply to see

399
00:24:52,760 --> 00:24:57,359
Speaker 1: if anybody was leaking the information of the college football

400
00:24:57,400 --> 00:25:02,719
Speaker 1: playoff bracket So on Saturday, I sort of for the

401
00:25:02,720 --> 00:25:05,600
Speaker 1: first time, you know, I signed up for a Calshi account,

402
00:25:05,640 --> 00:25:09,639
Speaker 1: and I bought shares of Miami making the playoff, and

403
00:25:09,720 --> 00:25:14,040
Speaker 1: I bought shares of twenty five cents, which really meant that,

404
00:25:14,200 --> 00:25:16,119
Speaker 1: you know, essentially what the market was saying, they have

405
00:25:16,160 --> 00:25:17,960
Speaker 1: they have a one and four shot of making the

406
00:25:18,000 --> 00:25:20,720
Speaker 1: playoff or so. In the prediction markets, it was said

407
00:25:21,280 --> 00:25:23,560
Speaker 1: Notre Dame was in the ninety nineties, it was like

408
00:25:23,640 --> 00:25:27,080
Speaker 1: ninety two ninety three percent tile and Alabama was in

409
00:25:27,119 --> 00:25:30,520
Speaker 1: the mid seventies seventy four or seventy five percentile. So

410
00:25:31,320 --> 00:25:33,480
Speaker 1: I did it because I was mostly curious to see

411
00:25:33,480 --> 00:25:35,000
Speaker 1: if this was going to leak and we were going

412
00:25:35,080 --> 00:25:37,800
Speaker 1: to see people try to manipulate the prediction markets, like

413
00:25:37,800 --> 00:25:40,639
Speaker 1: we saw with the Nobel Peace Prize, where it turned

414
00:25:40,640 --> 00:25:43,920
Speaker 1: out the information got out. I think it wasn't an

415
00:25:43,960 --> 00:25:46,119
Speaker 1: official leak. It was I think somebody hacked into a

416
00:25:46,160 --> 00:25:49,240
Speaker 1: website and saw a website preview before folks knew, and

417
00:25:49,960 --> 00:25:52,040
Speaker 1: all of a sudden, you saw the prediction markets move

418
00:25:52,080 --> 00:25:53,760
Speaker 1: as if they knew something. As it turned out, they

419
00:25:53,840 --> 00:25:57,600
Speaker 1: did know something. And I just wanted to see if

420
00:25:57,640 --> 00:25:59,919
Speaker 1: somebody was going to do that. So I was as

421
00:26:00,080 --> 00:26:01,920
Speaker 1: I was waiting for the college football playoff, I was

422
00:26:01,960 --> 00:26:05,120
Speaker 1: watching this happen and you would see a lot of volatility,

423
00:26:05,119 --> 00:26:07,560
Speaker 1: but it wasn't a hundred percent, you know. It was

424
00:26:07,600 --> 00:26:10,920
Speaker 1: like now people think they know, but they don't know. Right,

425
00:26:10,960 --> 00:26:17,040
Speaker 1: you could see how that works. It gave me some reassurance.

426
00:26:17,040 --> 00:26:19,320
Speaker 1: I was glad to see it. You know that something

427
00:26:19,440 --> 00:26:23,000
Speaker 1: you know, whether it leaking or somebody wasn't trying to

428
00:26:23,000 --> 00:26:27,320
Speaker 1: gain the system. And obviously I ended up making a

429
00:26:27,359 --> 00:26:31,399
Speaker 1: couple of bucks on how that worked. I actually was

430
00:26:31,440 --> 00:26:35,679
Speaker 1: monitoring it was I was I assumed that Miami's that

431
00:26:36,040 --> 00:26:38,720
Speaker 1: the share price of the Miami prediction was going to

432
00:26:39,240 --> 00:26:41,800
Speaker 1: go up sooner than it did, Like it didn't. Really.

433
00:26:42,160 --> 00:26:46,160
Speaker 1: It's clear the prediction markets did not believe Miami was

434
00:26:46,160 --> 00:26:48,040
Speaker 1: was going to get in, and that to me is

435
00:26:48,080 --> 00:26:51,200
Speaker 1: a reflection of what the conversation was. Right, If if

436
00:26:51,240 --> 00:26:54,680
Speaker 1: nobody has information, then they're basing it on sort of

437
00:26:54,720 --> 00:26:59,880
Speaker 1: the zeitgeist. Right. But I bring this up because recently

438
00:27:00,040 --> 00:27:03,639
Speaker 1: CNN signed to deal with Calshi where they're going to

439
00:27:03,760 --> 00:27:10,479
Speaker 1: in some form it start including or noting what the

440
00:27:10,520 --> 00:27:13,479
Speaker 1: prediction markets are saying about topics they might be covering.

441
00:27:13,520 --> 00:27:20,320
Speaker 1: So for instance, yesterday we saw the Federal Reserve cut

442
00:27:20,320 --> 00:27:23,560
Speaker 1: interest rates. Well, that was a market you could bet

443
00:27:23,600 --> 00:27:26,520
Speaker 1: on or you could you know, prediction marketing there, and

444
00:27:26,600 --> 00:27:29,919
Speaker 1: it was it was in the seventies over the last

445
00:27:30,320 --> 00:27:32,199
Speaker 1: you know, a few days, and then it got up

446
00:27:32,240 --> 00:27:38,960
Speaker 1: today eighty five, ninety, et cetera. But as much as

447
00:27:39,000 --> 00:27:43,280
Speaker 1: I do enjoy sports gambling, okay, you've heard me reference

448
00:27:43,320 --> 00:27:46,160
Speaker 1: it before, some of you know I do football picks

449
00:27:46,200 --> 00:27:51,080
Speaker 1: for Tony Kornheiser on his podcast, I fully confess to

450
00:27:51,280 --> 00:27:57,080
Speaker 1: enjoying it, but I've been extraordinarily uncomfortable with the idea

451
00:27:57,200 --> 00:28:01,640
Speaker 1: of betting on politics or betting on elections. I haven't

452
00:28:01,680 --> 00:28:04,639
Speaker 1: ruled it. I'm not I'm not trying to be, you know,

453
00:28:04,760 --> 00:28:07,840
Speaker 1: sort of a school barm about this, but it is

454
00:28:11,359 --> 00:28:17,080
Speaker 1: I'm not yet comfortable with it. And I'm curious what

455
00:28:17,960 --> 00:28:21,480
Speaker 1: you guys think, and I'm asking you send me, send questions,

456
00:28:21,480 --> 00:28:25,080
Speaker 1: put some comments in the comment section, or go ahead

457
00:28:25,119 --> 00:28:28,160
Speaker 1: and send us a send us comment via ask Chuck,

458
00:28:28,160 --> 00:28:33,479
Speaker 1: and we'll we'll dive into it next week. You know,

459
00:28:33,600 --> 00:28:36,520
Speaker 1: there's there's a lot of fear out there that do

460
00:28:36,560 --> 00:28:39,920
Speaker 1: you you know, at what point I believe in the

461
00:28:39,920 --> 00:28:42,600
Speaker 1: wisdom of crowds and at the same time I don't

462
00:28:42,600 --> 00:28:48,080
Speaker 1: want to see crowds manipulate an outcome, right, And you

463
00:28:48,120 --> 00:28:50,760
Speaker 1: know what is that line? You know, what should be

464
00:28:50,840 --> 00:28:55,760
Speaker 1: something that is okay, it's okay to that, and what

465
00:28:55,840 --> 00:28:58,320
Speaker 1: is something that is should we really be betting on this?

466
00:29:01,320 --> 00:29:03,720
Speaker 1: You know, I'll give you an example. I'm gonna let

467
00:29:03,760 --> 00:29:07,040
Speaker 1: me put up a pull up a few a few

468
00:29:07,840 --> 00:29:10,720
Speaker 1: things that they offer up that I some things that

469
00:29:10,800 --> 00:29:17,520
Speaker 1: make sense and others that don't. So, for instance, Calsh

470
00:29:18,400 --> 00:29:22,120
Speaker 1: will allow you to bet on what the Federal reserves

471
00:29:22,120 --> 00:29:25,080
Speaker 1: here J. Powell will say during his December press conference,

472
00:29:25,560 --> 00:29:31,520
Speaker 1: and the choices are, will he attribute terror inflation to

473
00:29:31,560 --> 00:29:40,800
Speaker 1: the tariffs? Will he says if he says dot plot

474
00:29:40,880 --> 00:29:44,360
Speaker 1: at his December twenty twenty five posts, you know, meeting

475
00:29:44,440 --> 00:29:51,280
Speaker 1: of the Federal Reserve, that would be somehow a win here.

476
00:29:54,440 --> 00:29:59,640
Speaker 1: If if he uses if he refers to the adp

477
00:30:00,000 --> 00:30:05,440
Speaker 1: AS report, apparently that would somehow be something you could

478
00:30:05,720 --> 00:30:07,680
Speaker 1: win a bet on it. There's sort of like it's

479
00:30:07,720 --> 00:30:09,520
Speaker 1: one thing to bet on whether there'll be an interest

480
00:30:09,560 --> 00:30:14,240
Speaker 1: rate cut, which again you know, I'm uncomfored you know

481
00:30:14,320 --> 00:30:16,080
Speaker 1: the State of Virginia. Let me give you an example.

482
00:30:16,120 --> 00:30:19,440
Speaker 1: The State of Virginia does not allow in its sports

483
00:30:19,560 --> 00:30:23,560
Speaker 1: mobile app for people to gamble on who might win

484
00:30:23,680 --> 00:30:25,840
Speaker 1: an award. Like if I wanted to gamble on the

485
00:30:26,080 --> 00:30:29,640
Speaker 1: on who wins the Heisman Trophy, State of Virginia wouldn't

486
00:30:29,640 --> 00:30:33,240
Speaker 1: do that. They are very strict. And how what they

487
00:30:33,280 --> 00:30:37,200
Speaker 1: approved for gambling, and that was games of chance, right,

488
00:30:37,680 --> 00:30:41,280
Speaker 1: And and a sporting event in some ways is something

489
00:30:41,320 --> 00:30:46,080
Speaker 1: that isn't knowable beforehand versus in theory there is somebody

490
00:30:46,080 --> 00:30:48,640
Speaker 1: that will know the answer to who won the Heisman

491
00:30:48,680 --> 00:30:53,120
Speaker 1: Trophy before it is announced, versus an actual sporting event

492
00:30:53,160 --> 00:30:58,200
Speaker 1: that we're all watching in real time, right. And so

493
00:30:58,480 --> 00:31:04,720
Speaker 1: they have decided not to legalized bets on outcomes that

494
00:31:05,360 --> 00:31:09,960
Speaker 1: some committee or group of people may know in advance.

495
00:31:11,040 --> 00:31:14,240
Speaker 1: And that's I think the line here. You got to

496
00:31:14,240 --> 00:31:16,240
Speaker 1: ask yourself, like, look, you can bet on who will

497
00:31:16,280 --> 00:31:18,680
Speaker 1: be the Democratic nominee, or excuse me, buy shares of

498
00:31:18,720 --> 00:31:20,880
Speaker 1: who you think will be the Democratic nominee. You can

499
00:31:20,920 --> 00:31:22,880
Speaker 1: buy shares of who you think Trump will nominate to

500
00:31:22,880 --> 00:31:28,360
Speaker 1: be fed chair. Okay, but how do we know somebody

501
00:31:28,400 --> 00:31:31,360
Speaker 1: within Trump's circle isn't gaming this and isn't going to,

502
00:31:31,680 --> 00:31:33,920
Speaker 1: you know, try to make money on this with quote

503
00:31:33,920 --> 00:31:39,000
Speaker 1: insider information. Right in the actual financial markets, it is

504
00:31:39,080 --> 00:31:42,120
Speaker 1: illegal to insider trade, right, And there's no doubt there'll

505
00:31:42,160 --> 00:31:45,320
Speaker 1: be some Certainly the rules about insider trading will apply

506
00:31:45,360 --> 00:31:50,239
Speaker 1: to this if it's ever if it's ever shown. But

507
00:31:50,280 --> 00:31:52,760
Speaker 1: then there are things like when will Trump announce his

508
00:31:52,760 --> 00:31:55,560
Speaker 1: new chair the Federal Reserve? So this is something that

509
00:31:55,600 --> 00:31:58,440
Speaker 1: you can will it be before December twentieth, Well, that's

510
00:31:58,480 --> 00:32:00,840
Speaker 1: sixth sense? Will it be before or the end of

511
00:32:00,880 --> 00:32:03,320
Speaker 1: the calendar year? That's twenty five percent? Believe that Will

512
00:32:03,360 --> 00:32:06,960
Speaker 1: it be before January fifteenth another seventy two percent? And

513
00:32:07,000 --> 00:32:09,080
Speaker 1: then you know, I guess everybody would get their money

514
00:32:09,080 --> 00:32:12,440
Speaker 1: back if none of those hit, or everybody loses if

515
00:32:12,560 --> 00:32:16,719
Speaker 1: none of those hit. But if you're you know, if

516
00:32:16,720 --> 00:32:20,520
Speaker 1: you already know the answer to this, or you're long

517
00:32:20,600 --> 00:32:24,440
Speaker 1: on something and you've got access to Trump, and you

518
00:32:24,480 --> 00:32:27,920
Speaker 1: know what, if we have a president who's extraordinarily transactional

519
00:32:28,280 --> 00:32:33,600
Speaker 1: and who's open to somebody financially lobbying them, which is

520
00:32:33,640 --> 00:32:38,600
Speaker 1: a more polite way of saying, Brian, And you know

521
00:32:39,160 --> 00:32:41,080
Speaker 1: I'm not saying I have no idea whether we would

522
00:32:41,080 --> 00:32:43,720
Speaker 1: ever have an American president who would be transactional like

523
00:32:43,760 --> 00:32:48,960
Speaker 1: that on things like pardons or whatever. But that's the

524
00:32:49,040 --> 00:32:53,640
Speaker 1: part of this that I will admit gives me some pause.

525
00:32:56,520 --> 00:32:59,120
Speaker 1: There's some parts of this that feels like the Democratic

526
00:32:59,160 --> 00:33:03,880
Speaker 1: nominee in Texas that looking at those markets, that's interesting

527
00:33:04,160 --> 00:33:06,560
Speaker 1: of interest to me. In case you're wondering right now,

528
00:33:06,840 --> 00:33:11,880
Speaker 1: Tall Rico is fifty six cents and Jasmine Crockett is

529
00:33:11,880 --> 00:33:15,680
Speaker 1: at forty two cents. So that's not what the polling

530
00:33:15,720 --> 00:33:20,800
Speaker 1: says right now, but this is what betters or predictors,

531
00:33:20,840 --> 00:33:23,760
Speaker 1: I guess you would say, believe is going to be

532
00:33:24,680 --> 00:33:27,120
Speaker 1: the outcome of that. And so look, they've been betting

533
00:33:27,120 --> 00:33:29,160
Speaker 1: on elections in the UK, you could bet on American

534
00:33:29,200 --> 00:33:34,360
Speaker 1: elections and overseas markets from before. But I guess what

535
00:33:34,400 --> 00:33:35,760
Speaker 1: I'm getting at here is if we're going to go

536
00:33:35,800 --> 00:33:39,640
Speaker 1: down this road, there probably needs to be a bit

537
00:33:39,680 --> 00:33:43,040
Speaker 1: more regulation around it. There probably needs to be sort

538
00:33:43,080 --> 00:33:45,440
Speaker 1: of a line drawn in the sand that is, hey,

539
00:33:45,480 --> 00:33:51,880
Speaker 1: this is a that's a manipulation. That's too that's too

540
00:33:51,920 --> 00:33:54,800
Speaker 1: much of a thing that can be manipulated. So take

541
00:33:54,840 --> 00:33:57,840
Speaker 1: this question that you can bet on the following on

542
00:33:57,920 --> 00:34:01,080
Speaker 1: Calshi who will visit mar A Lago BEFO twenty six,

543
00:34:03,680 --> 00:34:07,040
Speaker 1: And you can just and there's all sorts of choices

544
00:34:07,040 --> 00:34:11,440
Speaker 1: that you can buy shares of Benjamin Nett Yahoo. That's

545
00:34:11,719 --> 00:34:15,960
Speaker 1: according to Kaoshi that that's the leading prediction on that

546
00:34:16,000 --> 00:34:20,160
Speaker 1: one at eighty seven cents out of a dollar. NBS

547
00:34:20,160 --> 00:34:22,560
Speaker 1: of Saudi Arabia that's at thirteen, he's second on the list.

548
00:34:22,600 --> 00:34:25,600
Speaker 1: Zelenski's at ten cents. He's third on the list. Sam

549
00:34:25,640 --> 00:34:29,320
Speaker 1: Altman's at seven, Brittany Mahomes is at five, Jamie Diamond

550
00:34:29,360 --> 00:34:32,840
Speaker 1: is at five, Jerome Pals at four, Kim Kardashian is

551
00:34:32,880 --> 00:34:36,719
Speaker 1: at two. You know, it's kind of silly, right, But

552
00:34:36,880 --> 00:34:40,960
Speaker 1: here's something else. There was a huge spike for net

553
00:34:41,080 --> 00:34:44,640
Speaker 1: Yahoo over the last day or two, and I think

554
00:34:44,640 --> 00:34:47,080
Speaker 1: there's an assumption that he's going to somehow make his

555
00:34:47,120 --> 00:34:50,440
Speaker 1: way out here. He's desperate for Trump to continue to

556
00:34:50,520 --> 00:34:52,640
Speaker 1: lobby for a pardon on his behalf with the is

557
00:34:53,080 --> 00:34:55,400
Speaker 1: with the President of Israel, so there may be some

558
00:34:55,480 --> 00:34:58,120
Speaker 1: motivation there. But it's one of those things that feels

559
00:34:58,120 --> 00:35:02,200
Speaker 1: like somebody already knows the answer, but the public didn't

560
00:35:02,239 --> 00:35:07,839
Speaker 1: see it, so we have a betting market on it. Right. Look,

561
00:35:08,400 --> 00:35:12,040
Speaker 1: we're a free country. If you choose to do this

562
00:35:12,120 --> 00:35:14,360
Speaker 1: with your money, it's your choice to do this with

563
00:35:14,400 --> 00:35:17,160
Speaker 1: the money. The question I have is how comfortable are

564
00:35:17,200 --> 00:35:21,840
Speaker 1: you with news organizations incorporating this into their coverage, which

565
00:35:21,880 --> 00:35:27,960
Speaker 1: is a decision seeing in may You know, we already

566
00:35:28,160 --> 00:35:30,440
Speaker 1: have a lot of people that I think correctly complain

567
00:35:30,520 --> 00:35:33,799
Speaker 1: that our campaign coverage is always focused on the polls, right,

568
00:35:33,840 --> 00:35:38,480
Speaker 1: that it's horse race coverage. Will this make all political

569
00:35:38,520 --> 00:35:41,560
Speaker 1: and policy coverage horse race coverage? You know? Are we

570
00:35:41,640 --> 00:35:47,080
Speaker 1: going to see stories about the debate over extending healthcare subsidies?

571
00:35:47,080 --> 00:35:50,719
Speaker 1: And oh, by the way, the prediction markets, well, they

572
00:35:50,840 --> 00:35:53,040
Speaker 1: think there's going to be a deal, and that there'll

573
00:35:53,080 --> 00:35:55,759
Speaker 1: be a deal to extend these subsidies sometime by the

574
00:35:55,840 --> 00:35:58,360
Speaker 1: end of January. There may not be any reporting that

575
00:35:58,440 --> 00:36:01,640
Speaker 1: says that it may be true, it may not be true.

576
00:36:03,640 --> 00:36:08,600
Speaker 1: Is that stuff worth incorporating in reporting if you're seeing

577
00:36:08,600 --> 00:36:11,399
Speaker 1: it and look, in fairness to them, let's see how

578
00:36:11,400 --> 00:36:14,960
Speaker 1: they use it, let's say how they incorporate it. But again,

579
00:36:15,000 --> 00:36:18,200
Speaker 1: I do this more as you can hear in my voice,

580
00:36:18,200 --> 00:36:22,200
Speaker 1: as somebody who again I am, I am. I'm a

581
00:36:22,280 --> 00:36:27,279
Speaker 1: bit libertarian on the vices, right. You want to legalize cannabis,

582
00:36:27,600 --> 00:36:30,080
Speaker 1: you want to, you know, put a high age element

583
00:36:30,160 --> 00:36:34,880
Speaker 1: on it, legalize other vices. I'm gambling things like that.

584
00:36:35,239 --> 00:36:39,680
Speaker 1: I'm I'm you know that's your business, right, I'm I am,

585
00:36:40,400 --> 00:36:44,760
Speaker 1: I am. I am an empathetic libertarian here. The question

586
00:36:44,920 --> 00:36:50,000
Speaker 1: is whether our political debate, our policy debates, are they

587
00:36:50,040 --> 00:36:59,120
Speaker 1: going to be enhanced or harmed by the casinification of news.

588
00:37:01,680 --> 00:37:05,000
Speaker 1: So obviously you can hear my hesitance on this, you

589
00:37:05,040 --> 00:37:10,239
Speaker 1: can hear my concern on this, but I'm not unpersuadable

590
00:37:10,280 --> 00:37:13,440
Speaker 1: on this. So that's why I am This is one

591
00:37:13,440 --> 00:37:15,920
Speaker 1: of those I'd love to hear what many of you

592
00:37:15,960 --> 00:37:18,080
Speaker 1: think on this, whether any of you have enough of

593
00:37:18,120 --> 00:37:22,279
Speaker 1: an opinion to express it to me if you don't

594
00:37:22,280 --> 00:37:23,759
Speaker 1: want to put your name on and I get that too,

595
00:37:23,840 --> 00:37:27,279
Speaker 1: by the way, on this, so please do shoot me

596
00:37:27,280 --> 00:37:29,520
Speaker 1: an ope on this. Where are you on these prediction markets?

597
00:37:29,960 --> 00:37:32,839
Speaker 1: You know, I am a gawker of them. I'm fascinated

598
00:37:33,120 --> 00:37:36,360
Speaker 1: to see a lot of times it's just representative of

599
00:37:36,400 --> 00:37:38,840
Speaker 1: what the zeitgeist is already saying, or what the polling

600
00:37:38,920 --> 00:37:41,960
Speaker 1: is indicating. Or what reporting has already been out there.

601
00:37:44,400 --> 00:37:48,319
Speaker 1: So you know, for instance, they've got a market of

602
00:37:48,600 --> 00:37:50,520
Speaker 1: which world leaders will be out by the end of

603
00:37:50,520 --> 00:37:53,280
Speaker 1: the year. Which world leader do you think is number

604
00:37:53,280 --> 00:37:55,759
Speaker 1: one on their list? If you said Nicholas Maduro, you'd

605
00:37:55,800 --> 00:37:59,480
Speaker 1: be right, right, Well, that's common sense, But there's actually

606
00:37:59,520 --> 00:38:03,240
Speaker 1: it's only trading at eleven cents, which means it's essentially

607
00:38:04,160 --> 00:38:07,160
Speaker 1: the prediction markets believe there's only a one in essentially

608
00:38:07,160 --> 00:38:10,720
Speaker 1: a one and ten chance that Maduro is out before

609
00:38:10,719 --> 00:38:16,600
Speaker 1: the end of this calendar year. Does that matter to you?

610
00:38:17,120 --> 00:38:20,160
Speaker 1: Does that at all? And here's the thing. It may

611
00:38:20,200 --> 00:38:23,560
Speaker 1: have no impact whatsoever, But the minute I reported that,

612
00:38:23,600 --> 00:38:25,760
Speaker 1: have I planted a seat in your head and somehow

613
00:38:26,320 --> 00:38:31,120
Speaker 1: created a form of sort of news consumption bias, if

614
00:38:31,120 --> 00:38:36,080
Speaker 1: you will, right, So, anyway, it's that's the beauty of

615
00:38:36,080 --> 00:38:43,800
Speaker 1: this format is is we can sort of throw out

616
00:38:43,840 --> 00:38:45,760
Speaker 1: this idea. I'm not going to sit here and pretend

617
00:38:45,880 --> 00:38:53,640
Speaker 1: that I have concerns, I'm intrigued, and I'm rapped and

618
00:38:53,680 --> 00:38:56,560
Speaker 1: it's and I have my own hesitations and all of

619
00:38:56,560 --> 00:38:59,960
Speaker 1: those things. So I'd love for you to share that

620
00:39:02,200 --> 00:39:04,799
Speaker 1: do you hate hangovers? We'll say goodbye to hangovers. Out

621
00:39:04,840 --> 00:39:07,399
Speaker 1: of Office gives you the social buzz without the next

622
00:39:07,480 --> 00:39:09,759
Speaker 1: day regret. Their best selling out of Office gummies were

623
00:39:09,800 --> 00:39:12,680
Speaker 1: designed to provide a mild, relaxing buzz, boost your mood,

624
00:39:12,760 --> 00:39:16,320
Speaker 1: and enhance creativity and relaxation. With five different strengths, you

625
00:39:16,360 --> 00:39:18,560
Speaker 1: can tailor the dose to fit your vibe, from a

626
00:39:18,640 --> 00:39:22,720
Speaker 1: gentle one point five milligram micro doose to their newest

627
00:39:22,840 --> 00:39:26,920
Speaker 1: fifteen milligram gummy for a more elevated experience. Their THHC

628
00:39:27,000 --> 00:39:30,360
Speaker 1: beverages and gummies are a modern, mindful alternative to a

629
00:39:30,360 --> 00:39:32,920
Speaker 1: glass of wine or a cocktail. And I'll tell you this,

630
00:39:33,120 --> 00:39:36,080
Speaker 1: I've given up booze. I don't like the hangovers. I

631
00:39:36,360 --> 00:39:39,719
Speaker 1: prefer the gummy experience. Soul is a wellness brand that

632
00:39:39,800 --> 00:39:43,279
Speaker 1: believes feeling good should be fun and easy. Soul specializes

633
00:39:43,320 --> 00:39:46,960
Speaker 1: in delicious HEMP derived THHC and CBD products, all designed

634
00:39:47,000 --> 00:39:50,040
Speaker 1: to boost your mood and simply help you unwine so

635
00:39:50,120 --> 00:39:52,359
Speaker 1: if you struggle to switch off at night, Soul also

636
00:39:52,400 --> 00:39:55,400
Speaker 1: has a variety of products specifically designed to just simply

637
00:39:55,440 --> 00:39:57,879
Speaker 1: help you get a better night's sleep, including their top

638
00:39:57,960 --> 00:40:00,840
Speaker 1: selling sleepy gummies. It's a fan face favorite for deep

639
00:40:01,040 --> 00:40:03,960
Speaker 1: restorative sleep. So bring on the good vibes and treat

640
00:40:04,000 --> 00:40:07,400
Speaker 1: yourself to Soul today. Right now, Soul is offering my

641
00:40:07,480 --> 00:40:10,719
Speaker 1: audience thirty percent off your entire order. So go to

642
00:40:10,760 --> 00:40:14,359
Speaker 1: get sold dot com use the promo code toodcast. Don't

643
00:40:14,400 --> 00:40:18,719
Speaker 1: forget that code. That's getsold dot Com promo code toodcast

644
00:40:18,840 --> 00:40:27,600
Speaker 1: for thirty percent off. All right, let's get into Let's

645
00:40:27,600 --> 00:40:30,600
Speaker 1: get into a few of the questions here. Ask Chuck,

646
00:40:33,560 --> 00:40:36,719
Speaker 1: this one comes from Austin. From Austin, he is not

647
00:40:36,800 --> 00:40:40,160
Speaker 1: a first timer. I think we'll call him a long timer. Hey,

648
00:40:40,239 --> 00:40:42,480
Speaker 1: send say your interview with Sarah Esker blew my mind?

649
00:40:42,560 --> 00:40:45,080
Speaker 1: All right, I had no idea that the original article,

650
00:40:45,120 --> 00:40:48,080
Speaker 1: the first was about congressional representation and apportionment. Makes so

651
00:40:48,120 --> 00:40:51,439
Speaker 1: much sense that our founder's prioritize representation before anything else.

652
00:40:52,080 --> 00:40:54,080
Speaker 1: Got me thinking, could this be the basis for a

653
00:40:54,120 --> 00:40:56,840
Speaker 1: limited series or film? Most Americans don't know this history.

654
00:40:57,080 --> 00:40:59,360
Speaker 1: In dramatizing it, could it make structural reform like a

655
00:40:59,400 --> 00:41:02,760
Speaker 1: return to our roots? Man, Austin, what a terrific idea?

656
00:41:03,520 --> 00:41:09,440
Speaker 1: You know, you know it's interesting, I assume, and I

657
00:41:09,480 --> 00:41:13,439
Speaker 1: hope you're watching the Ken Burns American Revolution series. It's

658
00:41:13,480 --> 00:41:19,640
Speaker 1: fantastic and it's certainly also very you know, there's nothing

659
00:41:20,120 --> 00:41:23,440
Speaker 1: nothing harder than trying to put together a documentary like

660
00:41:23,480 --> 00:41:29,360
Speaker 1: he does, essentially without any archival material, archive video, things

661
00:41:29,400 --> 00:41:35,319
Speaker 1: like that, pictures, et cetera. It's not easy. But a

662
00:41:35,520 --> 00:41:40,600
Speaker 1: dramatic a limited series on the essentially the fight over

663
00:41:40,640 --> 00:41:45,200
Speaker 1: the Constitution and you know, the failure of the Articles

664
00:41:45,239 --> 00:41:48,680
Speaker 1: of Confederation and and sort of yes, and we could

665
00:41:48,680 --> 00:41:52,480
Speaker 1: create some drama. You get some characters. Ben Franklin's a

666
00:41:52,520 --> 00:41:55,960
Speaker 1: great character. Thomas Jefferson's a great character. John Adams is right.

667
00:41:56,040 --> 00:41:59,000
Speaker 1: We know a little bit something about all of them.

668
00:41:59,080 --> 00:42:01,919
Speaker 1: Some of them have been portrayed. I mean the Jot

669
00:42:01,920 --> 00:42:06,600
Speaker 1: Adams series and that that HBO put on some fifteen

670
00:42:07,000 --> 00:42:10,279
Speaker 1: or so years ago with Paul Giamatti is just one

671
00:42:10,320 --> 00:42:13,960
Speaker 1: that if you all consider yourself a history junkie, then

672
00:42:14,000 --> 00:42:18,880
Speaker 1: you've already seen it. But I love this idea, Austin.

673
00:42:19,040 --> 00:42:21,120
Speaker 1: I think you're right because I think there's there was

674
00:42:21,200 --> 00:42:23,799
Speaker 1: plenty of drama. There was plenty of debate, you know,

675
00:42:24,520 --> 00:42:27,759
Speaker 1: and you can have different episodes. You know where the

676
00:42:27,760 --> 00:42:30,920
Speaker 1: cliffhanger is, you know, you know there was a cliffhanger

677
00:42:30,960 --> 00:42:32,759
Speaker 1: and what the official language was going to be. Right,

678
00:42:32,800 --> 00:42:35,760
Speaker 1: there's a cliff you know, all these little cliffhangers about

679
00:42:35,800 --> 00:42:37,799
Speaker 1: what were we going to be as a country, you know,

680
00:42:37,880 --> 00:42:43,319
Speaker 1: all those things. I think there would be interest in this.

681
00:42:43,480 --> 00:42:47,480
Speaker 1: And again we've seen this, you know, his historical dramas

682
00:42:47,520 --> 00:42:53,080
Speaker 1: have done well. And look, I have a I believe

683
00:42:53,120 --> 00:42:58,000
Speaker 1: that part of you know, I think we need to

684
00:42:59,640 --> 00:43:03,000
Speaker 1: offer more ways for people to learn how our system works.

685
00:43:03,719 --> 00:43:07,560
Speaker 1: Not everybody wants to read a book about it. Not

686
00:43:07,640 --> 00:43:13,480
Speaker 1: everybody wants to read a textbook about it. Not everybody

687
00:43:13,480 --> 00:43:17,560
Speaker 1: wants to listen to ten hour podcast about it. So

688
00:43:17,760 --> 00:43:21,439
Speaker 1: whatever way you get that into the ecosystem, and your

689
00:43:21,480 --> 00:43:25,400
Speaker 1: idea is a good one of sort of dramatizing you know,

690
00:43:26,400 --> 00:43:31,440
Speaker 1: the fights over the founding and the fights that took place,

691
00:43:31,520 --> 00:43:34,480
Speaker 1: so that people can see the compromises. You know that

692
00:43:34,840 --> 00:43:39,560
Speaker 1: the final the decisions that were made were all compromises, right,

693
00:43:39,719 --> 00:43:45,240
Speaker 1: it was. It was never designed to be perfect. So anyway,

694
00:43:45,280 --> 00:43:50,240
Speaker 1: it's a it's a terrific idea. Hey Netflix, are you listening, Austin?

695
00:43:50,280 --> 00:43:52,040
Speaker 1: And I would like to pitch this as a as

696
00:43:52,040 --> 00:43:57,080
Speaker 1: a TV series, Austin, I promise if for some reason

697
00:43:57,160 --> 00:44:01,359
Speaker 1: we get this opportunity. I'll hook you up, don't. Next

698
00:44:01,400 --> 00:44:04,600
Speaker 1: question comes from Michael Laurry says, Hey, Chuck, what were

699
00:44:04,640 --> 00:44:06,399
Speaker 1: your best and worst movies of the year. I also

700
00:44:06,440 --> 00:44:08,840
Speaker 1: love your thoughts on ken Burn's American Revolution series. Aha,

701
00:44:08,880 --> 00:44:11,120
Speaker 1: I already gave you that one. What's your favorite of

702
00:44:11,120 --> 00:44:13,359
Speaker 1: his work? And which upcoming projects are you most excited about?

703
00:44:13,360 --> 00:44:16,120
Speaker 1: African American History, LBJA, Baseball, Stand Up the Mormons. Lastly,

704
00:44:16,120 --> 00:44:18,560
Speaker 1: if Netflix is buying Warner Brothers, do you think David

705
00:44:18,560 --> 00:44:21,520
Speaker 1: Ellison heard his chances by criticizing the process and highlighting

706
00:44:21,560 --> 00:44:27,800
Speaker 1: ties as a selling point. So IM like a small

707
00:44:27,840 --> 00:44:34,359
Speaker 1: confession about movies. These days, I watch fewer movies than ever,

708
00:44:34,800 --> 00:44:39,400
Speaker 1: and I think part of it is I am trapped

709
00:44:39,400 --> 00:44:44,120
Speaker 1: in the joy of episodic television that we have right

710
00:44:44,239 --> 00:44:46,400
Speaker 1: we are living we are still living in the golden

711
00:44:46,440 --> 00:44:51,440
Speaker 1: age of this, you know, whether it's man I am.

712
00:44:51,680 --> 00:44:55,879
Speaker 1: I'm digging plorabis and I'm still curious where we're headed here,

713
00:44:55,920 --> 00:44:59,279
Speaker 1: Although I have a My latest theory on plorabis is

714
00:45:00,160 --> 00:45:04,359
Speaker 1: that it's a are you sure we want one collective

715
00:45:04,760 --> 00:45:07,200
Speaker 1: intelligence about who we are? Right? I don't know. I

716
00:45:07,200 --> 00:45:10,600
Speaker 1: felt like maybe maybe it's commentary on artificial intelligence. By

717
00:45:10,640 --> 00:45:15,359
Speaker 1: the way, I'm an episode behind, so no spoilers on

718
00:45:15,400 --> 00:45:21,279
Speaker 1: this front. And my other confession is when I travel,

719
00:45:21,480 --> 00:45:24,160
Speaker 1: that's when I kind of junk out on movies. So

720
00:45:27,960 --> 00:45:31,000
Speaker 1: I just watched it. I've been traveling this week, so

721
00:45:31,040 --> 00:45:35,880
Speaker 1: I finally watched the Naked Gun reboots. Eh, you know,

722
00:45:36,200 --> 00:45:40,840
Speaker 1: I there was some fun grace notes. I appreciated the effort,

723
00:45:40,960 --> 00:45:44,280
Speaker 1: but there's a part of me that feels it's almost

724
00:45:44,640 --> 00:45:49,799
Speaker 1: too far away, too long ago, like we lost an

725
00:45:49,960 --> 00:45:54,000
Speaker 1: entire you know, that was arguably three pop culture generations

726
00:45:54,040 --> 00:45:57,319
Speaker 1: ago that the last Naked Gun movie came out, So

727
00:45:59,560 --> 00:46:03,759
Speaker 1: I think, you know it, it's a you know, it's

728
00:46:03,760 --> 00:46:08,160
Speaker 1: interesting being in the later stages now of middle aged right,

729
00:46:08,239 --> 00:46:11,440
Speaker 1: which is right, I've got grown kids. But you know,

730
00:46:11,440 --> 00:46:15,160
Speaker 1: it's funny about the movie industry. There's two there's two

731
00:46:16,360 --> 00:46:20,480
Speaker 1: demographic groups that actually go to movie theaters. Apparently one

732
00:46:20,520 --> 00:46:26,240
Speaker 1: is teenagers, so that's that explains all the Marvel movies

733
00:46:26,280 --> 00:46:29,000
Speaker 1: and all that other stuff. And the other is empty nesters,

734
00:46:30,640 --> 00:46:33,680
Speaker 1: which is why you get right now, we you know,

735
00:46:34,440 --> 00:46:36,000
Speaker 1: you know, over the last fifteen years, it was a

736
00:46:36,040 --> 00:46:39,360
Speaker 1: lot of baby boomer nostalgia. Now we're getting we're starting

737
00:46:39,360 --> 00:46:45,719
Speaker 1: to get gen X nostalgia on this front. So as

738
00:46:45,719 --> 00:46:50,640
Speaker 1: for my favorite ken Burns, look, I've seen a lot

739
00:46:50,680 --> 00:46:53,440
Speaker 1: of them. I enjoyed, you know, I'm going to do

740
00:46:53,480 --> 00:46:55,719
Speaker 1: a deep cut here. I enjoyed the Prohibition one because

741
00:46:55,719 --> 00:46:57,600
Speaker 1: that was something I knew the least. It was one

742
00:46:57,640 --> 00:47:00,799
Speaker 1: of those gaps for me, so it filled in a

743
00:47:00,800 --> 00:47:04,280
Speaker 1: lot of gaps. So I really enjoyed that one. And Baseball,

744
00:47:04,320 --> 00:47:08,319
Speaker 1: of course, was I think transformational. You know, it was

745
00:47:08,680 --> 00:47:10,680
Speaker 1: in the Civil War, and obviously the Civil War was

746
00:47:10,680 --> 00:47:16,160
Speaker 1: his essentially the masterpiece that gave him the currency to

747
00:47:16,200 --> 00:47:21,439
Speaker 1: do all of this. Right, he is America's historian. And

748
00:47:21,480 --> 00:47:24,640
Speaker 1: what I had really admire about what ken Burns has

749
00:47:24,640 --> 00:47:28,960
Speaker 1: pulled off in the American Revolution. I mean, think about all,

750
00:47:29,600 --> 00:47:31,680
Speaker 1: you know, if he had asked me, well, what do

751
00:47:31,719 --> 00:47:33,399
Speaker 1: you think I'm going to do the American Revolution, I'd

752
00:47:33,400 --> 00:47:37,439
Speaker 1: be like, oh, boy, right after these debates that went

753
00:47:37,480 --> 00:47:41,440
Speaker 1: through sixteen nineteen versus seventeen seventy six, these competing commissions

754
00:47:41,440 --> 00:47:44,880
Speaker 1: and all of this, and like, boy, good luck trying

755
00:47:44,880 --> 00:47:47,839
Speaker 1: to make something that everybody can feel comfortable with. And

756
00:47:47,960 --> 00:47:52,160
Speaker 1: lo and behold he seemed to make something that you know,

757
00:47:52,239 --> 00:47:57,080
Speaker 1: he has not gotten. He has somehow avoided stepping on

758
00:47:58,600 --> 00:48:02,799
Speaker 1: too many political landminds. You know he's been I think

759
00:48:02,800 --> 00:48:09,040
Speaker 1: it's been very straightforward, and I have found it. You know,

760
00:48:09,440 --> 00:48:11,640
Speaker 1: I've certainly learned some things that I you know, you

761
00:48:11,680 --> 00:48:14,759
Speaker 1: think you know, uh, and there are more things that

762
00:48:14,840 --> 00:48:19,080
Speaker 1: you learn there. So it's uh. I really admire his

763
00:48:19,160 --> 00:48:23,320
Speaker 1: ability to have success with this in this polarized culture

764
00:48:23,360 --> 00:48:26,520
Speaker 1: that we lived in. We had to give him some

765
00:48:26,600 --> 00:48:28,640
Speaker 1: special award, like, I don't know how you did it,

766
00:48:28,680 --> 00:48:31,719
Speaker 1: but congratulations, you did something that we don't seem to

767
00:48:31,719 --> 00:48:36,800
Speaker 1: have any politicians capable of doing. So I owe you

768
00:48:36,840 --> 00:48:41,800
Speaker 1: a few more movies. I'll does do you care that

769
00:48:41,840 --> 00:48:46,800
Speaker 1: I watched the Mission Impossible Final Reckoning movies? I will

770
00:48:47,000 --> 00:48:51,440
Speaker 1: confess that, you know, I I it's a it's a

771
00:48:52,239 --> 00:48:54,960
Speaker 1: I always I designate. Like I say, most of my

772
00:48:55,040 --> 00:48:58,360
Speaker 1: movie watching now is when I'm want to be sort

773
00:48:58,360 --> 00:49:01,720
Speaker 1: of if I'm on a long flight and I'm trying

774
00:49:01,760 --> 00:49:06,520
Speaker 1: to pass the time. It's in fact, Mission and the

775
00:49:06,560 --> 00:49:10,120
Speaker 1: Mission Impossible series in the Jurassic Park series, right, those

776
00:49:10,160 --> 00:49:13,120
Speaker 1: are some I consider those guilty pleasures, meaning you know,

777
00:49:13,320 --> 00:49:15,960
Speaker 1: I know you know what you're gonna get. They are

778
00:49:16,000 --> 00:49:19,240
Speaker 1: what they are. I find them to be the perfect

779
00:49:19,280 --> 00:49:24,959
Speaker 1: airplane movies. So I did venture into both of those.

780
00:49:25,040 --> 00:49:29,480
Speaker 1: But I owe you a better Michael, I owe you

781
00:49:29,480 --> 00:49:33,799
Speaker 1: a better a better list of movies I like this year,

782
00:49:33,880 --> 00:49:37,520
Speaker 1: So cot me some slack on that, all right. Next

783
00:49:37,560 --> 00:49:44,399
Speaker 1: question comes from Yavari from Finland. He says, hey, check

784
00:49:44,400 --> 00:49:47,280
Speaker 1: listener from Finland here loving the longer episodes, keep them coming.

785
00:49:47,760 --> 00:49:49,640
Speaker 1: The Senate primaries in Texas are turning out to be

786
00:49:49,680 --> 00:49:51,440
Speaker 1: quite interesting. Oh yes they are. How bloody do you

787
00:49:51,480 --> 00:49:54,040
Speaker 1: think they can get? For example, between all Read and Tolerigo. Well,

788
00:49:54,520 --> 00:49:57,640
Speaker 1: in fairness, I think I did not answer this question

789
00:49:57,680 --> 00:49:59,560
Speaker 1: in a timely fashion, because, as we now know, it's

790
00:49:59,600 --> 00:50:02,359
Speaker 1: no longer all Read in tall Rico. It is tall

791
00:50:02,480 --> 00:50:07,920
Speaker 1: Rico and Crockett. If you are a listener to every episode,

792
00:50:07,960 --> 00:50:10,000
Speaker 1: you may have already heard my take on that. I'll

793
00:50:10,000 --> 00:50:11,479
Speaker 1: give you that in a second, but let me finish

794
00:50:11,520 --> 00:50:14,479
Speaker 1: your question. You noted between all Read and tall Rico,

795
00:50:14,520 --> 00:50:16,080
Speaker 1: you saw neither one seems to be the type to

796
00:50:16,160 --> 00:50:19,719
Speaker 1: knife each other that much. But she never know then

797
00:50:19,719 --> 00:50:22,319
Speaker 1: on the Republican side, now that Hunt has jumped in

798
00:50:22,360 --> 00:50:24,279
Speaker 1: the Republican side. Is there a lane for him in

799
00:50:24,280 --> 00:50:26,360
Speaker 1: your opinion? Also, could you give a brief outlook on

800
00:50:26,360 --> 00:50:28,200
Speaker 1: how Montana looks for the Dems in twenty twenty six.

801
00:50:28,239 --> 00:50:29,799
Speaker 1: I have a couple of friends there and they seem

802
00:50:29,840 --> 00:50:34,560
Speaker 1: optimistic about Russell Cleveland seating Ryan Zinky. That's in a

803
00:50:34,680 --> 00:50:39,080
Speaker 1: house race. I believe that Zinc is running their kind

804
00:50:39,120 --> 00:50:42,600
Speaker 1: regards Lea Fari, let me start with the Texas thing.

805
00:50:42,600 --> 00:50:45,640
Speaker 1: Like I said, I answered it before. Obviously, look, Jasmine

806
00:50:45,680 --> 00:50:49,720
Speaker 1: Crockett essentially drove colinra al Read out of the race,

807
00:50:50,600 --> 00:50:52,480
Speaker 1: and it was pretty clear three way primary was going

808
00:50:52,480 --> 00:50:55,040
Speaker 1: to create a runoff, that there was enough people that

809
00:50:55,120 --> 00:50:58,040
Speaker 1: got to all Red convinced him to run for something

810
00:50:58,040 --> 00:51:00,640
Speaker 1: that's the remnant of his old house seat there Texas,

811
00:51:01,760 --> 00:51:05,439
Speaker 1: Because you know, if Democrats Republicans are already with that three

812
00:51:05,440 --> 00:51:08,680
Speaker 1: way race, you know that's destined for a runoff, which

813
00:51:08,719 --> 00:51:11,680
Speaker 1: means even more money of them throwing mud at each other,

814
00:51:11,760 --> 00:51:14,880
Speaker 1: and it's an internal fight. You know, it did seem

815
00:51:14,920 --> 00:51:20,720
Speaker 1: to be a self inflicted wound for Democrats to also

816
00:51:21,640 --> 00:51:24,919
Speaker 1: have a large enough primary with prominent candidates that would

817
00:51:24,920 --> 00:51:28,319
Speaker 1: guarantee a runoff on their end. You know why, you know,

818
00:51:28,400 --> 00:51:32,239
Speaker 1: why not take advantage of the situation of Republicans And

819
00:51:32,280 --> 00:51:34,560
Speaker 1: so now you do have a situation where I all

820
00:51:34,600 --> 00:51:36,759
Speaker 1: want to agree to get out. It's Jasmine Crockett and

821
00:51:37,000 --> 00:51:40,279
Speaker 1: James Tollerico. And as I implied history, I think this

822
00:51:40,320 --> 00:51:42,040
Speaker 1: is going to be a race that is less about

823
00:51:42,080 --> 00:51:46,880
Speaker 1: ideology and more about style. Right. You're essentially this is,

824
00:51:47,000 --> 00:51:48,520
Speaker 1: you know, how much do you want a fighter and

825
00:51:48,560 --> 00:51:51,040
Speaker 1: how much do you want to uniter? Right? You're going

826
00:51:51,120 --> 00:51:54,120
Speaker 1: to have the pastor versus the fighter, right, and what

827
00:51:54,320 --> 00:51:59,240
Speaker 1: is the mindset of the electorate? And if like I said,

828
00:51:59,280 --> 00:52:02,360
Speaker 1: I went pretty long on this and yesterday's episode, so

829
00:52:02,360 --> 00:52:15,000
Speaker 1: I'll keep this one shorter. But essentially, I think this

830
00:52:15,080 --> 00:52:17,480
Speaker 1: is going to be a noisy primary on the Democratic side.

831
00:52:17,520 --> 00:52:18,560
Speaker 1: But I don't know if it's going to be a

832
00:52:18,640 --> 00:52:23,040
Speaker 1: nasty primary, right. I think both could pay a penalty,

833
00:52:24,360 --> 00:52:26,040
Speaker 1: you know, and how they go about it, right, Tyla

834
00:52:26,120 --> 00:52:30,000
Speaker 1: Rico has a as a brand that if he gets

835
00:52:30,040 --> 00:52:33,719
Speaker 1: too negative or sort of practices sort of conventional old

836
00:52:33,760 --> 00:52:38,040
Speaker 1: school negative politics, that could boomerang on him because he's

837
00:52:38,080 --> 00:52:41,200
Speaker 1: trying to be a different type of a different type

838
00:52:41,239 --> 00:52:44,120
Speaker 1: of candidate, a different type of Democrat and I think

839
00:52:44,200 --> 00:52:47,960
Speaker 1: Crockett are already sort of you know, she's she's a

840
00:52:48,000 --> 00:52:54,320
Speaker 1: bit polarizing, certainly in a general electorate, and she needs

841
00:52:54,320 --> 00:52:57,400
Speaker 1: a United Democratic Party behind her if she wins this primary.

842
00:52:57,400 --> 00:53:00,480
Speaker 1: So I definitely agree with your tam that if it

843
00:53:00,480 --> 00:53:02,960
Speaker 1: had been all read Tolrico and Crockett had decided not

844
00:53:03,000 --> 00:53:05,239
Speaker 1: to run, that that would have been a that would

845
00:53:05,280 --> 00:53:07,640
Speaker 1: have been a patty cake primary a little bit, you know,

846
00:53:07,760 --> 00:53:11,640
Speaker 1: I think it would have been sock. The curiosity I

847
00:53:11,719 --> 00:53:15,000
Speaker 1: have about the Democratic side of this is will outside

848
00:53:15,120 --> 00:53:20,399
Speaker 1: groups sort of be the ones to throw all the insults? Right? Well,

849
00:53:20,400 --> 00:53:25,759
Speaker 1: we see a bunch of outside Democratic money essentially try

850
00:53:25,800 --> 00:53:28,719
Speaker 1: to damage Crockett, because I mean, that's what I think

851
00:53:28,840 --> 00:53:32,759
Speaker 1: is most likely you do have. You're not going to

852
00:53:32,840 --> 00:53:36,280
Speaker 1: get the party leadership to admit that they prefer publicly

853
00:53:36,360 --> 00:53:38,840
Speaker 1: Tallerico over Crockett, but their body language is going to

854
00:53:38,840 --> 00:53:41,239
Speaker 1: come across that way. There's just a perception that she

855
00:53:41,320 --> 00:53:45,520
Speaker 1: can't win the general. I do find the story. I'm

856
00:53:45,560 --> 00:53:49,080
Speaker 1: not sure it's interesting that the NRSC decided to take

857
00:53:49,080 --> 00:53:52,480
Speaker 1: a victory lap and say, hey, look what we did

858
00:53:52,520 --> 00:53:55,400
Speaker 1: and try to take credit for talking Crockett into running,

859
00:53:56,120 --> 00:53:59,960
Speaker 1: and of course noticed this story about you know how

860
00:54:00,080 --> 00:54:03,160
Speaker 1: the NRSC is sort of taking credit for getting for

861
00:54:03,280 --> 00:54:07,120
Speaker 1: essentially coaxing Crockett into the race. Meaning they did some

862
00:54:07,160 --> 00:54:09,560
Speaker 1: early polling. They were curious to see if Crockett had

863
00:54:09,600 --> 00:54:12,000
Speaker 1: any traction. They tested her and they realized that she

864
00:54:12,120 --> 00:54:14,880
Speaker 1: was actually the best known, that she would do the

865
00:54:14,920 --> 00:54:17,279
Speaker 1: best in a Democratic primary, just sort of implying that

866
00:54:17,320 --> 00:54:19,799
Speaker 1: she had the highest name recognition of anybody that could

867
00:54:19,800 --> 00:54:23,640
Speaker 1: possibly run. And you know, John Cornan is not hidden

868
00:54:23,800 --> 00:54:26,480
Speaker 1: his belief that he thinks that that Crockett would be

869
00:54:26,520 --> 00:54:30,319
Speaker 1: easier to defeat than anybody else. He faces. Problem for

870
00:54:30,560 --> 00:54:33,120
Speaker 1: John Cornan is I do not see a scenario where

871
00:54:33,160 --> 00:54:39,000
Speaker 1: he's the nominate, and I'm mildly surprised he chose to run.

872
00:54:39,680 --> 00:54:41,200
Speaker 1: You know, I had a thesis and I think I

873
00:54:41,239 --> 00:54:43,279
Speaker 1: shared it, and so I will look, I was wrong

874
00:54:43,320 --> 00:54:46,759
Speaker 1: about the following. I thought he certainly was behaving like

875
00:54:46,840 --> 00:54:49,719
Speaker 1: somebody who was buying time from everybody, saying that he

876
00:54:50,160 --> 00:54:54,320
Speaker 1: let me give me to the filing deadline to prove

877
00:54:54,400 --> 00:54:57,640
Speaker 1: that I can win this thing. Well, then Wesley Hunt

878
00:54:57,640 --> 00:55:01,320
Speaker 1: got in. It got complicated. But you know, while Cornan

879
00:55:01,480 --> 00:55:04,920
Speaker 1: certainly has done a good job raising Paxton's negative was

880
00:55:04,920 --> 00:55:10,120
Speaker 1: his early TV negative TV ads. It hasn't accrued to

881
00:55:10,200 --> 00:55:16,399
Speaker 1: Cornan's benefit. And you know, there's there's certainly he just right.

882
00:55:16,440 --> 00:55:19,120
Speaker 1: He feels like he's just a fish out of water.

883
00:55:19,160 --> 00:55:22,439
Speaker 1: And where this Republican Party is these days, and it's

884
00:55:22,440 --> 00:55:24,759
Speaker 1: as if the electorate knows that Cornan is not one

885
00:55:24,760 --> 00:55:27,520
Speaker 1: of them. Right, he is getting a strong thirty thirty

886
00:55:27,560 --> 00:55:31,280
Speaker 1: two percent, which is about what's left of the Bush

887
00:55:31,320 --> 00:55:35,520
Speaker 1: wing of the Republican Party nationally, and it's about what's

888
00:55:35,600 --> 00:55:39,040
Speaker 1: left inside the state of Texas. Now, if Cornyn were

889
00:55:39,080 --> 00:55:42,279
Speaker 1: the general election of the Republican nominee, there's no doubt.

890
00:55:42,280 --> 00:55:44,080
Speaker 1: I think he's a favorite no matter who he would face,

891
00:55:44,120 --> 00:55:47,719
Speaker 1: whether it was Tylerico or Crockett there So obviously the

892
00:55:47,760 --> 00:55:50,919
Speaker 1: Republican primary is going to be scorched earth, just scorched earth.

893
00:55:53,360 --> 00:55:56,520
Speaker 1: But you know, nothing's really moved. What I'm curious about

894
00:55:56,560 --> 00:55:59,799
Speaker 1: what is going to move Cornan's numbers up. I know

895
00:56:00,120 --> 00:56:04,600
Speaker 1: what everybody believes will move Paxton's numbers down. What moves

896
00:56:04,640 --> 00:56:08,040
Speaker 1: Cornyn's numbers up? And in some ways he may have

897
00:56:08,120 --> 00:56:12,440
Speaker 1: made a mistake and the nrsc is bragging about getting

898
00:56:12,960 --> 00:56:16,520
Speaker 1: Jasmine Crockett in. But if Republican voters are convinced that

899
00:56:16,640 --> 00:56:21,279
Speaker 1: anybody can beat Crockett, then they don't have to hold

900
00:56:21,280 --> 00:56:24,080
Speaker 1: their nose and support Cornyn because he's quote unquote the

901
00:56:24,120 --> 00:56:26,640
Speaker 1: only one that can prevent a Democrat from winning the Senate.

902
00:56:26,719 --> 00:56:30,920
Speaker 1: See So I just find it interesting that the NRSC

903
00:56:31,400 --> 00:56:36,680
Speaker 1: is beating their chest when they actually that if Crockett

904
00:56:36,719 --> 00:56:40,279
Speaker 1: is the center of attention in the Democratic primary, that

905
00:56:40,360 --> 00:56:46,359
Speaker 1: actually may send the message to Republican primary voters that hey,

906
00:56:46,440 --> 00:56:48,360
Speaker 1: Democrats are going to nominate somebody who can win a

907
00:56:48,400 --> 00:56:52,440
Speaker 1: general election, so you don't have to worry about supporting

908
00:56:53,000 --> 00:56:59,640
Speaker 1: the mushy moderate John Cornett. And there's another reason why

909
00:57:00,080 --> 00:57:03,680
Speaker 1: Cornyn may regret that there is a competitive primary at all.

910
00:57:03,719 --> 00:57:09,600
Speaker 1: In the Democratic primary. It's a you know, Democratic you know,

911
00:57:09,600 --> 00:57:11,919
Speaker 1: if there wasn't a competitive Democratic primary vote, you would

912
00:57:11,920 --> 00:57:13,800
Speaker 1: have seen some that might vote in a Democratic primary

913
00:57:13,840 --> 00:57:15,640
Speaker 1: choose to vote in the Republican primary. There's a little

914
00:57:15,680 --> 00:57:19,520
Speaker 1: bit of choice in Texas, and he may cost himself

915
00:57:20,040 --> 00:57:22,720
Speaker 1: some potential sort of moderate Democratic voters who might have

916
00:57:23,240 --> 00:57:27,120
Speaker 1: if there really wasn't a competitive Democratic primary, they may

917
00:57:27,160 --> 00:57:32,520
Speaker 1: have done that so look, you are right to point

918
00:57:32,520 --> 00:57:38,480
Speaker 1: out those Texas primaries. It's certainly why why we're already

919
00:57:38,480 --> 00:57:41,600
Speaker 1: have identified the Texas primary night as the next night

920
00:57:41,640 --> 00:57:44,560
Speaker 1: we go live with election results in twenty twenty six.

921
00:57:44,640 --> 00:57:47,840
Speaker 1: That is going to be as consequential of a primary

922
00:57:47,920 --> 00:57:52,000
Speaker 1: night as there is in deciding whether or not Democrats

923
00:57:52,120 --> 00:57:55,400
Speaker 1: do have a serious chance at picking up the Senate.

924
00:57:55,720 --> 00:57:57,840
Speaker 1: All right, I'm sinking one more question before we get

925
00:57:57,880 --> 00:58:01,680
Speaker 1: into my little college football preview for the weekend. It

926
00:58:01,720 --> 00:58:04,200
Speaker 1: comes from Brian from Sterling, Virginia, says love the Todd cast,

927
00:58:04,320 --> 00:58:07,280
Speaker 1: especially the World War One discussions. Here's a favorite historical

928
00:58:07,360 --> 00:58:09,280
Speaker 1: what if of mine. What if arch Duke Ferdinand's driver

929
00:58:09,360 --> 00:58:12,160
Speaker 1: hadn't taken a wrong turn, Sorryjevo, placing the air to

930
00:58:12,200 --> 00:58:15,920
Speaker 1: the Austrio Hungarian throne right in front of Gabrielle prince Hip,

931
00:58:15,960 --> 00:58:18,240
Speaker 1: the guy who shot him. Without that fateful moment, we

932
00:58:18,320 --> 00:58:20,400
Speaker 1: might have avoided World War One, no rise of Communism,

933
00:58:20,400 --> 00:58:22,280
Speaker 1: no World War Two, no Cold War, no Holocaust, and

934
00:58:22,320 --> 00:58:24,440
Speaker 1: a radically different Middle East. That single wrong term may

935
00:58:24,440 --> 00:58:27,760
Speaker 1: have shaped the entire modern world. That's quite the what if.

936
00:58:29,400 --> 00:58:33,800
Speaker 1: I am. I am not a believer in that I

937
00:58:34,240 --> 00:58:36,080
Speaker 1: you know, I think we were on a hair trigger,

938
00:58:36,120 --> 00:58:39,000
Speaker 1: and I think that there were certainly, you know, we

939
00:58:39,000 --> 00:58:41,160
Speaker 1: were in a look think about the period we were in.

940
00:58:41,240 --> 00:58:46,120
Speaker 1: We were hypernationalists around the globe. We were. And this

941
00:58:46,200 --> 00:58:48,400
Speaker 1: is why I think we're in a similar period now,

942
00:58:48,480 --> 00:58:51,920
Speaker 1: which is, you know, every time we've had a massive

943
00:58:51,960 --> 00:58:54,720
Speaker 1: transition in our economy, you know, over the last one

944
00:58:54,800 --> 00:58:58,960
Speaker 1: hundred and fifty years, right, that was the advent, you know,

945
00:58:58,960 --> 00:59:01,000
Speaker 1: when we were moving from a raring economy to an

946
00:59:01,040 --> 00:59:05,880
Speaker 1: industrial economy. Globally, look at all that happened in the

947
00:59:05,920 --> 00:59:10,600
Speaker 1: first fifteen years twenty years of the twentieth century. You

948
00:59:10,640 --> 00:59:13,840
Speaker 1: had the Russian Revolution, we had all I mean, there

949
00:59:13,960 --> 00:59:19,000
Speaker 1: was disruption and voter revolt and people revolt and worker

950
00:59:19,120 --> 00:59:23,959
Speaker 1: revolts all over the globe. So it was a very

951
00:59:25,760 --> 00:59:31,920
Speaker 1: unstable time. So I as much as I mean, I

952
00:59:32,560 --> 00:59:35,040
Speaker 1: love the is I love a good alternative history, a

953
00:59:35,080 --> 00:59:40,360
Speaker 1: little good a little butterfly effect. I wish I hope

954
00:59:40,360 --> 00:59:44,120
Speaker 1: you're right. I'm don't think, but I look at it.

955
00:59:44,200 --> 00:59:47,200
Speaker 1: I think there there we were in a the whole

956
00:59:47,240 --> 00:59:50,000
Speaker 1: globe wasn't in a in an unsteady position. In fact,

957
00:59:50,000 --> 00:59:52,000
Speaker 1: you could argue we're in a similar position now right

958
00:59:52,040 --> 00:59:56,600
Speaker 1: where you know we were, we were pursuing a very

959
00:59:58,960 --> 01:00:02,840
Speaker 1: closed border. We were uh anti immigrant at that time,

960
01:00:03,080 --> 01:00:08,040
Speaker 1: we were had high tariff rates, we were a bit nationalistic. Remember,

961
01:00:08,080 --> 01:00:09,600
Speaker 1: we didn't want to get involved at all. What was

962
01:00:09,640 --> 01:00:12,680
Speaker 1: going on in Europe. You know, Hey, that ain't happening here.

963
01:00:13,760 --> 01:00:15,920
Speaker 1: That's why we're We've got two oceans between us and

964
01:00:15,920 --> 01:00:21,040
Speaker 1: the other contents. So that's that would be My only

965
01:00:21,080 --> 01:00:23,240
Speaker 1: pushback to your theory is that I think that we

966
01:00:23,240 --> 01:00:27,480
Speaker 1: were that that that we were just the transition of

967
01:00:27,560 --> 01:00:30,960
Speaker 1: the of the global economy from agrarian to industrial and

968
01:00:30,960 --> 01:00:33,880
Speaker 1: the race to industrialization. And you had this, you just

969
01:00:33,920 --> 01:00:37,320
Speaker 1: had there was all sorts of tumult that was happening

970
01:00:37,400 --> 01:00:41,200
Speaker 1: inside the Ottoman Empire. That was tumult. That was you know,

971
01:00:41,280 --> 01:00:43,440
Speaker 1: you had sort of it was the big we were

972
01:00:43,440 --> 01:00:45,320
Speaker 1: in the We were in the late stages of the

973
01:00:45,320 --> 01:00:49,600
Speaker 1: British Empire right that it was you know, uh, they

974
01:00:49,640 --> 01:00:53,840
Speaker 1: were it was getting chipped away at and certainly we

975
01:00:53,920 --> 01:00:58,600
Speaker 1: had you know, look at how the fact that that

976
01:00:58,800 --> 01:01:02,520
Speaker 1: did trigger a global you know, the Great War if

977
01:01:02,560 --> 01:01:07,800
Speaker 1: it will, I think tells you what a tinderbox the

978
01:01:07,840 --> 01:01:12,560
Speaker 1: globe wash was at that time, and that's something that

979
01:01:12,600 --> 01:01:14,520
Speaker 1: I think about in this current period. You know, we're

980
01:01:14,520 --> 01:01:16,160
Speaker 1: going to get through this, and we're going to get

981
01:01:16,200 --> 01:01:20,720
Speaker 1: through this, but this transformation of our economy has you know,

982
01:01:22,040 --> 01:01:26,160
Speaker 1: rattled the globe. Right, look at Brexit, then look at

983
01:01:26,160 --> 01:01:29,640
Speaker 1: what we're doing, and look at sort of the shift

984
01:01:29,720 --> 01:01:34,320
Speaker 1: and uh into nationalism here and what that is. Look

985
01:01:34,360 --> 01:01:37,280
Speaker 1: what that is triggered. You know, when when the biggest

986
01:01:37,280 --> 01:01:40,680
Speaker 1: economy in the world starts behaving in an isolationist, nationalistic

987
01:01:41,120 --> 01:01:44,600
Speaker 1: sort of you know America first, Well, suddenly other countries

988
01:01:44,600 --> 01:01:47,160
Speaker 1: are going to be Japan first, and Germany first, and

989
01:01:47,520 --> 01:01:51,400
Speaker 1: Italy first, and h and so on and so forth.

990
01:01:51,560 --> 01:01:56,000
Speaker 1: And so I certainly hope we can do we can

991
01:01:56,160 --> 01:02:01,600
Speaker 1: escape this without with the mass casualties that we had

992
01:02:01,840 --> 01:02:04,240
Speaker 1: with World War One. But it's not as if we're

993
01:02:04,240 --> 01:02:08,920
Speaker 1: in a stable time period in our globe's history at

994
01:02:08,920 --> 01:02:12,240
Speaker 1: the moment, right, you have a pretty active war taking

995
01:02:12,280 --> 01:02:17,080
Speaker 1: place between one of the largest countries in the world,

996
01:02:17,200 --> 01:02:25,320
Speaker 1: Russia versus Ukraine. Look at sort of the unsteadiness what

997
01:02:25,840 --> 01:02:30,240
Speaker 1: we may be instigating a military conflict in Venezuela. We're

998
01:02:31,920 --> 01:02:36,240
Speaker 1: a bit on Uh, there's certainly a lot of concern

999
01:02:36,280 --> 01:02:40,680
Speaker 1: about potentially hot conflict with China over Taiwan. You've seen

1000
01:02:40,760 --> 01:02:44,880
Speaker 1: the rhetorical back and forth between the new Prime Minister

1001
01:02:44,920 --> 01:02:51,440
Speaker 1: of Japan in China, so it's a it's an interesting

1002
01:02:51,480 --> 01:02:53,919
Speaker 1: what if. But I think when you look at the

1003
01:02:55,200 --> 01:02:57,880
Speaker 1: when you look at sort of what was happening around

1004
01:02:57,920 --> 01:03:00,320
Speaker 1: the world at that time, why why were we in

1005
01:03:00,400 --> 01:03:03,000
Speaker 1: this period where something like that could trigger all of this,

1006
01:03:04,560 --> 01:03:12,760
Speaker 1: I think you're underestimating what was a very I think

1007
01:03:12,760 --> 01:03:15,760
Speaker 1: a very unstable period that was taking place around the world.

1008
01:03:17,600 --> 01:03:21,280
Speaker 1: Having good life insurance is incredibly important. I know from

1009
01:03:21,320 --> 01:03:24,400
Speaker 1: personal experience. I was sixteen when my father passed away.

1010
01:03:24,440 --> 01:03:26,840
Speaker 1: We didn't have any money. He didn't leave us in

1011
01:03:26,880 --> 01:03:31,240
Speaker 1: the best shape. My mother single mother, now widow. Myself

1012
01:03:31,320 --> 01:03:33,080
Speaker 1: sixteen trying to figure out how am I going to

1013
01:03:33,120 --> 01:03:36,280
Speaker 1: pay for college and lo and behold. My dad had

1014
01:03:36,360 --> 01:03:39,520
Speaker 1: one life insurance policy that we found. It wasn't a lot,

1015
01:03:39,880 --> 01:03:42,600
Speaker 1: but it was important at the time, and it's why

1016
01:03:42,720 --> 01:03:45,960
Speaker 1: I was able to go to college. Little did he

1017
01:03:46,040 --> 01:03:49,760
Speaker 1: know how important that would be in that moment. Well,

1018
01:03:49,880 --> 01:03:51,960
Speaker 1: guess what. That's why I am here to tell you

1019
01:03:52,040 --> 01:03:54,920
Speaker 1: about Etho's life. They can provide you with peace of

1020
01:03:54,960 --> 01:03:58,400
Speaker 1: mind knowing your family is protected even if the worst

1021
01:03:58,440 --> 01:04:01,760
Speaker 1: comes to pass. As an online platform that makes getting

1022
01:04:02,080 --> 01:04:05,200
Speaker 1: life insurance fast and easy, all designed to protect your

1023
01:04:05,200 --> 01:04:09,120
Speaker 1: family's future in minutes, not months. There's no complicated process

1024
01:04:09,160 --> 01:04:12,800
Speaker 1: and it's one hundred percent online. There's no medical exam

1025
01:04:12,880 --> 01:04:16,080
Speaker 1: require you just answer a few health questions online. You

1026
01:04:16,080 --> 01:04:17,880
Speaker 1: can get a quote in as little as ten minutes,

1027
01:04:17,920 --> 01:04:21,000
Speaker 1: and you can get same day coverage without ever leaving

1028
01:04:21,120 --> 01:04:23,960
Speaker 1: your home. You can get up to three million dollars

1029
01:04:24,000 --> 01:04:26,160
Speaker 1: in coverage, and some policies start as low as two

1030
01:04:26,200 --> 01:04:29,360
Speaker 1: dollars a day that would be billed monthly. As of

1031
01:04:29,360 --> 01:04:32,520
Speaker 1: March twenty twenty five, Business Insider named Ethos the number

1032
01:04:32,560 --> 01:04:36,880
Speaker 1: one no medical exam instant life insurance provider. So protect

1033
01:04:36,920 --> 01:04:40,320
Speaker 1: your family with life insurance from Ethos. Get your free

1034
01:04:40,360 --> 01:04:44,080
Speaker 1: quote at ethos dot com slash chuck. So again, that's

1035
01:04:44,160 --> 01:04:49,200
Speaker 1: Ethos dot com slash chuck. Application times may vary and

1036
01:04:49,240 --> 01:04:51,920
Speaker 1: the rates themselves may vary as well, but trust me,

1037
01:04:52,320 --> 01:04:54,720
Speaker 1: life insurance is something you should really think about it,

1038
01:04:54,800 --> 01:05:10,040
Speaker 1: especially if you've got a growing family. This is the

1039
01:05:10,080 --> 01:05:13,600
Speaker 1: time where I've normally got this huge college football preview,

1040
01:05:14,480 --> 01:05:18,640
Speaker 1: we only have one game this weekend. But I always

1041
01:05:18,680 --> 01:05:23,360
Speaker 1: have good memories of this because I've been to a

1042
01:05:23,360 --> 01:05:27,680
Speaker 1: couple of Army Navy games, and I'm sure if you've

1043
01:05:27,680 --> 01:05:32,520
Speaker 1: never been to an Army Navy game, you've missed out

1044
01:05:32,560 --> 01:05:35,440
Speaker 1: on something. And the first one I got to experience

1045
01:05:36,320 --> 01:05:39,680
Speaker 1: was was the first time I ever got to participate

1046
01:05:39,720 --> 01:05:45,000
Speaker 1: in a pool presidential pool, if you will. The fact

1047
01:05:45,000 --> 01:05:48,880
Speaker 1: that I got to do it probably violated something, probably

1048
01:05:48,920 --> 01:05:51,360
Speaker 1: was a secret service violation. But it is now thirty

1049
01:05:51,400 --> 01:05:53,919
Speaker 1: years thirty one years ago, so I think I can

1050
01:05:54,280 --> 01:05:58,200
Speaker 1: now it can be told. My late longtime friend Von Ververs,

1051
01:05:58,480 --> 01:06:01,520
Speaker 1: who some of you have heard me talk about before

1052
01:06:01,560 --> 01:06:05,320
Speaker 1: and I basically grew up in politics together working at

1053
01:06:05,320 --> 01:06:09,960
Speaker 1: the Hotline. We lost him a couple of years ago.

1054
01:06:10,320 --> 01:06:13,280
Speaker 1: I'm still still feels like yesterday. I miss him every day.

1055
01:06:14,000 --> 01:06:18,920
Speaker 1: I miss talking politics with him, and we worked together

1056
01:06:19,280 --> 01:06:21,680
Speaker 1: at the Hotline. We worked together at NBC. But when

1057
01:06:21,680 --> 01:06:24,200
Speaker 1: he'd gone back and forth from the Hotline a couple

1058
01:06:24,240 --> 01:06:26,360
Speaker 1: of times, and he actually got a network job before

1059
01:06:26,400 --> 01:06:33,240
Speaker 1: I ever did, he went to CBS and he suddenly

1060
01:06:33,280 --> 01:06:35,720
Speaker 1: he got roped into he was working in their political

1061
01:06:35,800 --> 01:06:37,800
Speaker 1: bureau and they were like a whole bunch of people

1062
01:06:37,840 --> 01:06:40,560
Speaker 1: wanted the weekend off and from their White House unit,

1063
01:06:41,360 --> 01:06:45,400
Speaker 1: so they talked Vaughan into being the guy who ran

1064
01:06:45,440 --> 01:06:51,600
Speaker 1: the transmission pool for the White House Press Corps for

1065
01:06:51,680 --> 01:06:54,160
Speaker 1: the Army Navy game because the president was going at this.

1066
01:06:54,320 --> 01:06:56,200
Speaker 1: The president at the time, of course, was Bill Clinton.

1067
01:06:57,440 --> 01:06:59,080
Speaker 1: This year they were playing. That year, they were playing

1068
01:06:59,120 --> 01:07:04,240
Speaker 1: the Army Navy game the old Veteran Stadium in Philadelphia.

1069
01:07:04,240 --> 01:07:07,480
Speaker 1: The reason I remember this is because they also said, hey,

1070
01:07:07,480 --> 01:07:08,920
Speaker 1: if you want to bring a friend, we'll give you

1071
01:07:08,960 --> 01:07:12,160
Speaker 1: an extra an extra pass. So he says, hey, you

1072
01:07:12,200 --> 01:07:14,120
Speaker 1: want to come with me? And I was like yeah,

1073
01:07:14,160 --> 01:07:18,040
Speaker 1: So you know, we drive from DC to Philadelphia. And

1074
01:07:19,160 --> 01:07:22,960
Speaker 1: the only if I had brought a Phillips screwdriver with me,

1075
01:07:23,280 --> 01:07:27,280
Speaker 1: I pro there is a there's not a zero percent

1076
01:07:27,440 --> 01:07:29,480
Speaker 1: chance I would have walked away with a mic with

1077
01:07:29,560 --> 01:07:33,440
Speaker 1: a framed Mike Schmidt jersey from the Phillies locker room.

1078
01:07:33,760 --> 01:07:37,920
Speaker 1: The White House transmission pool was in the actual Phillies

1079
01:07:38,080 --> 01:07:44,280
Speaker 1: clubhouse in Veterans Stadium, and I just was mesmerized by it,

1080
01:07:44,320 --> 01:07:47,720
Speaker 1: and we you know it is now. Of course I've

1081
01:07:47,760 --> 01:07:50,320
Speaker 1: been through what a transmission pool is. I've been through

1082
01:07:50,360 --> 01:07:53,040
Speaker 1: all of those things, and it's kind of a it

1083
01:07:53,080 --> 01:07:57,440
Speaker 1: can it can be a lot of a lot of

1084
01:07:57,480 --> 01:07:59,440
Speaker 1: work and a lot of sitting around, and it can

1085
01:07:59,480 --> 01:08:03,240
Speaker 1: be a lone thing, which is why many networks are like,

1086
01:08:03,280 --> 01:08:06,200
Speaker 1: you know, you should have some company with this. But

1087
01:08:06,960 --> 01:08:08,720
Speaker 1: it was the first time I got to experience Army

1088
01:08:08,800 --> 01:08:10,560
Speaker 1: Navy game, and I got to experience it sort of

1089
01:08:10,880 --> 01:08:13,640
Speaker 1: behind the scenes, and we watched the entire game on

1090
01:08:13,680 --> 01:08:17,040
Speaker 1: the on the sideline, and like almost every Army Navy game,

1091
01:08:17,080 --> 01:08:19,200
Speaker 1: it came down to the last drive of the game,

1092
01:08:21,680 --> 01:08:25,600
Speaker 1: and uh, it was it was just fantastic, the pageantry,

1093
01:08:26,240 --> 01:08:33,559
Speaker 1: the passion. Uh watching halftime when the Commander in Chief

1094
01:08:33,640 --> 01:08:36,519
Speaker 1: moves from one side, you know, sitting on the Army side,

1095
01:08:36,680 --> 01:08:39,200
Speaker 1: moving over to the Navy side, or if Navy was

1096
01:08:39,240 --> 01:08:41,240
Speaker 1: the home team, the Navy side moving over to the

1097
01:08:41,360 --> 01:08:45,080
Speaker 1: Army side, and there's this sort of ordinate sort of uh,

1098
01:08:46,720 --> 01:08:51,680
Speaker 1: you know, you get the Navy, you get all the

1099
01:08:51,720 --> 01:08:54,240
Speaker 1: troops lining up and sort of lining and sort of

1100
01:08:54,240 --> 01:08:57,240
Speaker 1: saluting the Commander in chief as they go. When I've

1101
01:08:57,240 --> 01:08:59,160
Speaker 1: been to a couple of them, and some president doesn't

1102
01:08:59,200 --> 01:09:01,439
Speaker 1: always go. Every year, when the president doesn't go, it's

1103
01:09:01,479 --> 01:09:04,200
Speaker 1: usually the Secretary of defense that goes Sometimes a president

1104
01:09:04,240 --> 01:09:06,240
Speaker 1: and the Secretary of Defense goes. I imagine we know

1105
01:09:06,800 --> 01:09:09,840
Speaker 1: Donald Trump loves himself a football game, and if he

1106
01:09:09,880 --> 01:09:11,880
Speaker 1: can officially go to a football game, he's going to go.

1107
01:09:11,960 --> 01:09:16,120
Speaker 1: So I'm sure we're going to have a Trump moment

1108
01:09:16,320 --> 01:09:19,080
Speaker 1: or two at this Army Navy game because he's not

1109
01:09:19,120 --> 01:09:20,840
Speaker 1: gonna he's not going to miss a moment to miss

1110
01:09:20,880 --> 01:09:28,160
Speaker 1: a moment. But uh, it's it's a it's just one

1111
01:09:28,200 --> 01:09:33,719
Speaker 1: of those, it really is. It's it's probably the only

1112
01:09:35,360 --> 01:09:39,080
Speaker 1: it's probably the purest college football that we have left.

1113
01:09:39,160 --> 01:09:40,960
Speaker 1: Right if you if you're sort of burned out on

1114
01:09:41,120 --> 01:09:45,519
Speaker 1: nil and you're burned out on the conference realignment. Although

1115
01:09:45,520 --> 01:09:49,880
Speaker 1: both Army and Navy have participated in conference realignments, in

1116
01:09:49,920 --> 01:09:52,320
Speaker 1: fact they are now both members of conferences, there was

1117
01:09:52,360 --> 01:09:54,360
Speaker 1: a period where Army was an independent and they were

1118
01:09:54,400 --> 01:09:57,760
Speaker 1: sort of between conferences and things, and one of these

1119
01:09:57,840 --> 01:10:00,400
Speaker 1: days it's very possible. I'm really excited did over the

1120
01:10:00,479 --> 01:10:03,679
Speaker 1: last couple of years, we've actually seen Army and Navy

1121
01:10:03,760 --> 01:10:07,040
Speaker 1: higher coaches that want to innovate and saying, okay, we

1122
01:10:07,120 --> 01:10:09,080
Speaker 1: have a we're going to have size limits of what

1123
01:10:09,120 --> 01:10:11,599
Speaker 1: we're going to have but you know, which is why

1124
01:10:11,600 --> 01:10:14,000
Speaker 1: they run the triple option, but hey, why not throw

1125
01:10:14,040 --> 01:10:16,760
Speaker 1: out of the triple option some And we've seen much

1126
01:10:16,800 --> 01:10:21,599
Speaker 1: more dynamic offenses out of both both service academies, which

1127
01:10:21,640 --> 01:10:24,760
Speaker 1: has just been which has allowed them to pull a

1128
01:10:24,760 --> 01:10:27,200
Speaker 1: few upsets every now and then be a bit more

1129
01:10:27,240 --> 01:10:32,320
Speaker 1: sort of punch above their weight as programs. And you know,

1130
01:10:32,400 --> 01:10:35,000
Speaker 1: the only curiosity I have is I have no idea

1131
01:10:35,680 --> 01:10:41,160
Speaker 1: how how these football programs are going to how the

1132
01:10:41,400 --> 01:10:44,519
Speaker 1: how the NIL programs are going to work for Army

1133
01:10:44,560 --> 01:10:46,320
Speaker 1: and Navy, and whether they're we're going to start to

1134
01:10:46,320 --> 01:10:49,200
Speaker 1: see collectives for Army and Navy. I imagine we won't

1135
01:10:49,800 --> 01:10:53,960
Speaker 1: feels like that that's a that that's that that's a

1136
01:10:54,320 --> 01:10:58,360
Speaker 1: gray area that autumn that that folks ought to stay

1137
01:10:58,360 --> 01:11:00,599
Speaker 1: out of. But you know, I don't want to rule

1138
01:11:00,640 --> 01:11:04,320
Speaker 1: anything out that we'll start to see something on that front,

1139
01:11:04,600 --> 01:11:09,639
Speaker 1: but I do I'm a sucker for it. And if

1140
01:11:09,680 --> 01:11:11,960
Speaker 1: you ever get the chance to go in person, I

1141
01:11:11,960 --> 01:11:15,559
Speaker 1: would just say take the opportunity. Even if you don't

1142
01:11:15,560 --> 01:11:18,439
Speaker 1: consider yourself sort of a you know, a big sort

1143
01:11:18,479 --> 01:11:22,920
Speaker 1: of flag waving type person. I know that's not everybody's cupetite,

1144
01:11:22,920 --> 01:11:25,840
Speaker 1: doesn't make any less patriotic. I'm not. I don't want to.

1145
01:11:25,880 --> 01:11:29,599
Speaker 1: I don't want to imply that at all, but I

1146
01:11:29,880 --> 01:11:31,800
Speaker 1: it is. And here's the other day. It's always a

1147
01:11:31,800 --> 01:11:38,920
Speaker 1: good game, and it's just an incredible atmosphere. And if

1148
01:11:38,920 --> 01:11:42,919
Speaker 1: you want to know, I've some of my closest friends

1149
01:11:44,240 --> 01:11:48,240
Speaker 1: and a former roommate. It's a Naval Academy grad. So

1150
01:11:48,520 --> 01:11:54,960
Speaker 1: I always root for Navy. But I just say go Navy.

1151
01:11:55,000 --> 01:11:57,680
Speaker 1: I don't say beat Army because you know I'm I

1152
01:11:57,960 --> 01:12:00,960
Speaker 1: don't have I don't I'm not anti Army on this one,

1153
01:12:01,400 --> 01:12:03,720
Speaker 1: but I do always come down on the Navy side.

1154
01:12:03,760 --> 01:12:07,280
Speaker 1: So go Navy. I hope you do well. But what

1155
01:12:07,360 --> 01:12:09,599
Speaker 1: I most want is just a great game, because when

1156
01:12:09,640 --> 01:12:12,240
Speaker 1: the Army Navy game is competitive, it's a lot of

1157
01:12:12,240 --> 01:12:15,479
Speaker 1: fun to watch, especially when it's the only college football

1158
01:12:15,560 --> 01:12:18,719
Speaker 1: game we have this weekend. Although there is the FCS playoffs,

1159
01:12:18,920 --> 01:12:24,360
Speaker 1: I'm not in denial on that. One of the things

1160
01:12:24,400 --> 01:12:26,280
Speaker 1: I promise is that I might dabble a little bit

1161
01:12:27,240 --> 01:12:29,640
Speaker 1: in NFL. I know I do a little bit of

1162
01:12:29,680 --> 01:12:34,800
Speaker 1: that with Tony Koornheizer, but I'll be honest with you

1163
01:12:34,880 --> 01:12:37,800
Speaker 1: until Miami. As long as Miami is alive in the

1164
01:12:37,840 --> 01:12:40,799
Speaker 1: college football Playoff. I'm going to be pretty pretty focused

1165
01:12:40,880 --> 01:12:44,439
Speaker 1: on that. But as a Packer fan, I'm starting to

1166
01:12:44,560 --> 01:12:48,439
Speaker 1: feel as if i'm, you know, the beginning of this season.

1167
01:12:48,479 --> 01:12:51,439
Speaker 1: After the first couple of weeks, first two games, Miami

1168
01:12:51,439 --> 01:12:58,080
Speaker 1: beats Notre Dame in South Florida by pretty significant margins,

1169
01:12:58,120 --> 01:13:00,800
Speaker 1: and they look like a really good football team and

1170
01:13:01,000 --> 01:13:03,840
Speaker 1: was going to be championship caliber. First two games of

1171
01:13:03,880 --> 01:13:08,080
Speaker 1: the NFL season, Packers beat the Lions and the Commanders

1172
01:13:08,120 --> 01:13:10,519
Speaker 1: back to back. At the time when Commanders, we thought, hey,

1173
01:13:10,600 --> 01:13:12,160
Speaker 1: you know, they just were in the NFC title game

1174
01:13:12,160 --> 01:13:15,479
Speaker 1: the year before. They look like a juggernaut. Then they

1175
01:13:15,520 --> 01:13:18,120
Speaker 1: had kind of a mid season dip. Miami had kind

1176
01:13:18,120 --> 01:13:20,880
Speaker 1: of a mid season dip. And now both my teams

1177
01:13:20,880 --> 01:13:24,160
Speaker 1: are starting to starting to look like they at least

1178
01:13:24,160 --> 01:13:27,120
Speaker 1: they can compete for the highest title of the season.

1179
01:13:27,240 --> 01:13:30,559
Speaker 1: So to say I'm a bit giddy about my two

1180
01:13:30,600 --> 01:13:33,800
Speaker 1: football teams as an understatement, and I just thank them

1181
01:13:33,840 --> 01:13:37,320
Speaker 1: in this In what can be when the day job

1182
01:13:37,640 --> 01:13:39,479
Speaker 1: and the topics of what I have to cover for

1183
01:13:39,560 --> 01:13:43,560
Speaker 1: the day job can be anxiety inducing and sometimes demoralizing

1184
01:13:43,600 --> 01:13:48,439
Speaker 1: and sometimes depressing, it is always nice when your when

1185
01:13:48,439 --> 01:13:51,280
Speaker 1: your sports teams can can provide a little bit of

1186
01:13:51,960 --> 01:13:54,040
Speaker 1: a little bit of happiness. But of course, as we

1187
01:13:54,120 --> 01:13:57,760
Speaker 1: all dedicated sports fans know, when your team, when you

1188
01:13:57,800 --> 01:14:01,960
Speaker 1: suddenly have expectations for your team, you don't enjoy any

1189
01:14:02,000 --> 01:14:04,840
Speaker 1: part of the game until you survived winning that game.

1190
01:14:05,400 --> 01:14:07,599
Speaker 1: I can tell you I barely enjoyed any part of

1191
01:14:07,600 --> 01:14:10,679
Speaker 1: that Packers Bears game, but I was but after we won,

1192
01:14:10,760 --> 01:14:13,640
Speaker 1: then I was really enjoying the fact that we that

1193
01:14:13,960 --> 01:14:17,599
Speaker 1: that the Packers won. So to say that, I'm I'm

1194
01:14:17,680 --> 01:14:23,320
Speaker 1: I'm feeling pretty uh pretty excited about about what could

1195
01:14:23,320 --> 01:14:26,720
Speaker 1: be coming over the next few weeks. I don't want

1196
01:14:26,720 --> 01:14:29,080
Speaker 1: to jinx it, and for all I know, it could

1197
01:14:29,080 --> 01:14:32,280
Speaker 1: come crashing down for both teams in a heartbeat. But

1198
01:14:35,040 --> 01:14:37,240
Speaker 1: you know, when you have a pretty good defensive line,

1199
01:14:37,280 --> 01:14:40,439
Speaker 1: it's amazing how far your team's can go. And both

1200
01:14:40,479 --> 01:14:44,519
Speaker 1: the Packers and the and the Hurricanes have themselves pretty

1201
01:14:44,520 --> 01:14:49,360
Speaker 1: elite defensive lines. And if to me, that's the key

1202
01:14:49,400 --> 01:14:54,480
Speaker 1: to winning championships a disruptive defense, and both my Hurricanes

1203
01:14:54,520 --> 01:14:58,400
Speaker 1: and my Packers have disruptive defenses. All Right, With that,

1204
01:14:58,760 --> 01:15:04,040
Speaker 1: with my sports biases out of the way, I will

1205
01:15:04,080 --> 01:15:07,080
Speaker 1: call it a week. I will see you next week.

1206
01:15:07,880 --> 01:15:10,120
Speaker 1: Enjoy the weekend, be safe out there, and until we

1207
01:15:10,200 --> 01:15:15,000
Speaker 1: upload again, m hmmmmmm