1
00:00:01,920 --> 00:00:06,200
Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George

2
00:00:06,280 --> 00:00:10,320
Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty.

3
00:00:10,240 --> 00:00:12,560
Speaker 2: Arm Strong and he.

4
00:00:15,440 --> 00:00:22,480
Speaker 3: Armstrong and Getty.

5
00:00:23,960 --> 00:00:28,280
Speaker 4: But pardon me that, Advice President. The question was, how

6
00:00:28,360 --> 00:00:29,840
Speaker 4: are you going to pay for it?

7
00:00:30,400 --> 00:00:32,480
Speaker 5: Well, one of the things I'm going to make sure

8
00:00:32,680 --> 00:00:36,520
Speaker 5: that the richest among us who can afford it, pay

9
00:00:36,600 --> 00:00:40,640
Speaker 5: their fair share in taxes. It is not right that

10
00:00:40,880 --> 00:00:45,160
Speaker 5: teachers and nurses and firefighters are paying a higher tax

11
00:00:45,280 --> 00:00:48,200
Speaker 5: rate than billionaires and the biggest corporations.

12
00:00:48,479 --> 00:00:50,760
Speaker 2: And I plan on making that fair.

13
00:00:50,960 --> 00:00:53,159
Speaker 6: But we're dealing with the real world here.

14
00:00:53,240 --> 00:00:55,200
Speaker 5: But the real world includes how are you going to

15
00:00:55,200 --> 00:00:59,000
Speaker 5: get this to Congress? You know, when you talk quietly

16
00:00:59,080 --> 00:01:01,240
Speaker 5: with a lot of folks in cong they know exactly

17
00:01:01,320 --> 00:01:04,480
Speaker 5: what I'm talking about because their constituents though exactly what

18
00:01:04,560 --> 00:01:09,479
Speaker 5: I'm talking about. Their constituents are those firefighters and teachers

19
00:01:09,880 --> 00:01:13,840
Speaker 5: and nurses. Their constituents are middle class, hardworking folks.

20
00:01:13,959 --> 00:01:15,600
Speaker 1: That was one of the few times last night that

21
00:01:15,920 --> 00:01:18,480
Speaker 1: I was bothered by because I thought the sixty minutes

22
00:01:18,560 --> 00:01:20,920
Speaker 1: was more aggressive than I was expecting to them be

23
00:01:21,280 --> 00:01:24,399
Speaker 1: more follow ups. But I wish instead of accepting her

24
00:01:24,520 --> 00:01:28,600
Speaker 1: BS line and acting like, well, the reason that's BS

25
00:01:28,680 --> 00:01:30,160
Speaker 1: is because you couldn't get it through Congress.

26
00:01:30,240 --> 00:01:32,400
Speaker 2: No, the reason it's BS is because it's BS.

27
00:01:32,880 --> 00:01:36,520
Speaker 1: It's BS that the rich pay more than their fair share,

28
00:01:37,240 --> 00:01:41,160
Speaker 1: and it's ridiculous to keep leaning on that as the

29
00:01:41,240 --> 00:01:42,960
Speaker 1: answer to our fiscal problems.

30
00:01:43,440 --> 00:01:47,200
Speaker 3: Also from the Department of Populist clap traps, she said

31
00:01:47,240 --> 00:01:53,400
Speaker 3: billionaires in America's great corporations. Everybody into corporations pays taxes,

32
00:01:53,760 --> 00:01:57,600
Speaker 3: and raising corporate taxes makes goods more expensive, it cuts

33
00:01:57,640 --> 00:02:01,160
Speaker 3: down on investment, it hurts your furrow. One it comes

34
00:02:01,200 --> 00:02:03,600
Speaker 3: out of the paychecks of the people who work there.

35
00:02:03,760 --> 00:02:07,360
Speaker 3: A corporation is just a collection of humans. Well, so

36
00:02:07,440 --> 00:02:08,400
Speaker 3: that's such a dog.

37
00:02:08,480 --> 00:02:10,800
Speaker 1: And what she said about when you talk to people

38
00:02:10,840 --> 00:02:13,800
Speaker 1: in Congress, you know, in private, it's the opposite of

39
00:02:13,840 --> 00:02:15,959
Speaker 1: what she said. You talk to people in Congress in private,

40
00:02:16,000 --> 00:02:18,520
Speaker 1: and they would say, well, yeah, we can't, We're not

41
00:02:18,560 --> 00:02:22,480
Speaker 1: gonna raise taxes on corporations or you know, try to

42
00:02:22,480 --> 00:02:25,320
Speaker 1: figure out how to tax unrealized gains because it would

43
00:02:25,360 --> 00:02:28,400
Speaker 1: doom the economy. But this plays well in public. So

44
00:02:28,440 --> 00:02:30,680
Speaker 1: I'm willing to go on stage and say originally to

45
00:02:30,680 --> 00:02:33,080
Speaker 1: pay the fair share, because it polls well.

46
00:02:33,960 --> 00:02:37,959
Speaker 7: Those who have been blessed the most, who have disproportionately

47
00:02:38,280 --> 00:02:42,600
Speaker 7: attracted by whatever skill, more and more from the national wealth,

48
00:02:42,760 --> 00:02:45,680
Speaker 7: they're gonna have to share more of that.

49
00:02:45,680 --> 00:02:49,680
Speaker 3: That is one of the worst utterances in the history

50
00:02:49,680 --> 00:02:53,919
Speaker 3: of American politics. The former governor of California Jerry Brown,

51
00:02:54,000 --> 00:02:58,760
Speaker 3: suggesting that if you are, for instance, a successful entrepreneur,

52
00:02:58,840 --> 00:03:01,400
Speaker 3: you build a small business, you employee dozens of people,

53
00:03:01,480 --> 00:03:04,760
Speaker 3: you feed your clothes, you medicate them, You put out

54
00:03:04,800 --> 00:03:05,840
Speaker 3: products that people.

55
00:03:05,639 --> 00:03:07,160
Speaker 2: Want to buy, and they buy them from you.

56
00:03:07,160 --> 00:03:10,840
Speaker 3: You've extracted from the public wealth.

57
00:03:12,080 --> 00:03:14,320
Speaker 1: Right, you took something from someone else, it would be

58
00:03:14,360 --> 00:03:17,880
Speaker 1: their money if you hadn't taken it, Which is as

59
00:03:18,040 --> 00:03:21,079
Speaker 1: illiterate economically as you could possibly get.

60
00:03:21,760 --> 00:03:25,359
Speaker 2: Carl Marx wandered away from that, muttering.

61
00:03:25,080 --> 00:03:28,840
Speaker 3: That's not how it works, dude, that's unbelievable anyway. So

62
00:03:29,480 --> 00:03:32,040
Speaker 3: we could certainly torture your ears with more kamm la

63
00:03:32,120 --> 00:03:34,480
Speaker 3: on sixty minutes and mean, we may on and off

64
00:03:34,480 --> 00:03:37,480
Speaker 3: throughout the show, But that actually leads rather beautifully to

65
00:03:37,760 --> 00:03:41,520
Speaker 3: a new study that came across about income inequality. And

66
00:03:41,800 --> 00:03:43,960
Speaker 3: I found it really interesting. I hope you do too.

67
00:03:44,480 --> 00:03:47,880
Speaker 3: It's you know, the concept of income inequality just drives

68
00:03:47,920 --> 00:03:49,720
Speaker 3: so much of our politics these days, and it's so

69
00:03:49,760 --> 00:03:53,680
Speaker 3: frustrating if you understand how economies actually work to listen

70
00:03:53,720 --> 00:03:53,920
Speaker 3: to it.

71
00:03:53,960 --> 00:03:55,480
Speaker 2: But I really ought to be used to it at

72
00:03:55,480 --> 00:03:58,680
Speaker 2: this point in my life. So there's a.

73
00:03:58,600 --> 00:04:02,440
Speaker 3: Big study from the National Bureau of Economic Research from

74
00:04:02,480 --> 00:04:05,520
Speaker 3: the Federal Reserve Bank of Saint Louis, Vanderbilt University, Princeton.

75
00:04:05,600 --> 00:04:08,320
Speaker 3: I mean, this is a big, big, you know, the

76
00:04:08,560 --> 00:04:11,720
Speaker 3: high Class study. It used a rich vein of survey

77
00:04:11,800 --> 00:04:15,600
Speaker 3: data tracking individuals far back as nineteen seventy nine. They

78
00:04:15,640 --> 00:04:18,920
Speaker 3: found that a major determinant hello again that word is

79
00:04:19,000 --> 00:04:25,080
Speaker 3: determinant of total lifetime hours worked is individual choice. Oh,

80
00:04:25,160 --> 00:04:28,520
Speaker 3: I'm sorry, I kind of started in the middle. I

81
00:04:28,560 --> 00:04:32,360
Speaker 3: skipped a part i apology. The more you work over

82
00:04:32,360 --> 00:04:36,400
Speaker 3: your lifetime, the more you earn. Now, so far, so

83
00:04:36,520 --> 00:04:38,960
Speaker 3: obvious as they write, but the surprises lurk, and an

84
00:04:39,000 --> 00:04:42,159
Speaker 3: explanation that's more complex than you'd think. They found that

85
00:04:42,200 --> 00:04:45,600
Speaker 3: a major determinant of total lifetime hours worked is individual choice.

86
00:04:45,640 --> 00:04:46,400
Speaker 2: Some people just.

87
00:04:46,400 --> 00:04:51,279
Speaker 3: Prefer to work more, while others might prioritize other activities.

88
00:04:52,320 --> 00:04:54,599
Speaker 3: But it's not just that they worked more. The paper

89
00:04:54,640 --> 00:04:58,080
Speaker 3: finds that those who work more earn more because they

90
00:04:58,080 --> 00:05:01,560
Speaker 3: accumulate more skills during the extra time they work. The

91
00:05:01,680 --> 00:05:05,719
Speaker 3: overlapping effects of different preferences for work and different levels

92
00:05:05,720 --> 00:05:09,200
Speaker 3: of skill acquisition account for a hefty share of overall

93
00:05:09,200 --> 00:05:12,960
Speaker 3: differences in lifetime earnings, and it seems to operate independently

94
00:05:13,000 --> 00:05:17,640
Speaker 3: of other factors like level of education or skills, or

95
00:05:17,920 --> 00:05:20,840
Speaker 3: how much money you had before you entered the labor force.

96
00:05:20,920 --> 00:05:23,520
Speaker 3: In other words, income inequality is in part a matter

97
00:05:23,560 --> 00:05:26,960
Speaker 3: of choice rather than an intractable economic or social force.

98
00:05:27,000 --> 00:05:29,760
Speaker 1: Sorry, socialists, well, trying to make that fly in a

99
00:05:29,800 --> 00:05:34,560
Speaker 1: populous era, even if it's true. But it's always these

100
00:05:34,640 --> 00:05:36,279
Speaker 1: sort of things are just tough for me because of

101
00:05:36,320 --> 00:05:37,960
Speaker 1: our career or what do we do for a living.

102
00:05:38,000 --> 00:05:40,599
Speaker 1: I just it's such a not regular job. I always

103
00:05:40,600 --> 00:05:42,719
Speaker 1: have to try to picture a regular job because I

104
00:05:42,720 --> 00:05:44,679
Speaker 1: can work more hours. I'm not picking up any skills.

105
00:05:44,760 --> 00:05:47,119
Speaker 1: I mean, I got no skills. I started with no skills.

106
00:05:47,160 --> 00:05:49,840
Speaker 1: I've gained no skills. I could do two radio shows

107
00:05:49,839 --> 00:05:52,520
Speaker 1: a day. I still have no skills. But so for

108
00:05:53,120 --> 00:05:55,159
Speaker 1: regular jobs, though you put in more hours and you

109
00:05:55,160 --> 00:05:56,200
Speaker 1: pick up more skills.

110
00:05:56,560 --> 00:05:59,880
Speaker 3: And that's where become more useful, of course, of right

111
00:06:00,160 --> 00:06:04,000
Speaker 3: different ways well, and honestly, if you were to put

112
00:06:04,000 --> 00:06:07,360
Speaker 3: in another ten hours per week and devote it to

113
00:06:07,480 --> 00:06:10,359
Speaker 3: learning video editing, we might be able to have a

114
00:06:10,360 --> 00:06:13,400
Speaker 3: more robust video presence on YouTube or something like that.

115
00:06:14,640 --> 00:06:17,440
Speaker 3: But anyway, the other thing that bothers me about some

116
00:06:17,480 --> 00:06:21,640
Speaker 3: of the income inequality analysis is that it frequently casts

117
00:06:21,720 --> 00:06:26,480
Speaker 3: people who've made deliberate and to me completely defensible decisions

118
00:06:27,160 --> 00:06:32,320
Speaker 3: as somehow victims. Right, I mean, the obvious thing would

119
00:06:32,360 --> 00:06:34,599
Speaker 3: be a woman who decides I'm not going to bust

120
00:06:34,720 --> 00:06:38,040
Speaker 3: my ass to be a big law lawyer and work

121
00:06:38,120 --> 00:06:40,440
Speaker 3: seventy hours a week. I want to be a mom

122
00:06:40,800 --> 00:06:43,920
Speaker 3: and I'm going to practice law, but on my terms

123
00:06:43,960 --> 00:06:46,440
Speaker 3: because I think my life will be a better life,

124
00:06:46,440 --> 00:06:48,400
Speaker 3: more satisfying service to God.

125
00:06:49,040 --> 00:06:50,240
Speaker 2: However, you define a good.

126
00:06:50,080 --> 00:06:54,800
Speaker 3: Life if I don't entirely devote my energies to making

127
00:06:54,880 --> 00:06:59,520
Speaker 3: more money, And that woman is frequently portrayed as a

128
00:06:59,600 --> 00:07:03,279
Speaker 3: victim of something when I, personally, for what it's worth,

129
00:07:03,320 --> 00:07:05,760
Speaker 3: thinks she's made a brilliant decision.

130
00:07:06,160 --> 00:07:10,200
Speaker 1: Right, or even maybe slightly more subtle as somebody who's

131
00:07:10,240 --> 00:07:13,200
Speaker 1: moved around the country and I often think about the decisions,

132
00:07:13,880 --> 00:07:16,800
Speaker 1: those decisions and how they affected my life and my kids'

133
00:07:16,800 --> 00:07:18,200
Speaker 1: lives and that sort of stuff.

134
00:07:18,960 --> 00:07:20,840
Speaker 2: It's been good for me career wise.

135
00:07:21,720 --> 00:07:24,360
Speaker 1: But so if I had made the decision, you know,

136
00:07:24,400 --> 00:07:25,920
Speaker 1: I'm going to stay in the area where all my

137
00:07:25,960 --> 00:07:28,520
Speaker 1: family is, so I have the close family ties and

138
00:07:28,560 --> 00:07:30,360
Speaker 1: all the fun stuff that comes with that, I'd be

139
00:07:30,400 --> 00:07:33,280
Speaker 1: making a lot less money. That's not I wouldn't be

140
00:07:33,280 --> 00:07:36,360
Speaker 1: a victim of something. I chose a different lifestyle that

141
00:07:36,600 --> 00:07:37,679
Speaker 1: maybe would have been better.

142
00:07:38,560 --> 00:07:40,160
Speaker 2: Yeah, yeah, I agree completely.

143
00:07:40,360 --> 00:07:42,880
Speaker 3: I have a close relative whose point of view is

144
00:07:43,280 --> 00:07:46,000
Speaker 3: I will make enough to get by, and I will

145
00:07:46,000 --> 00:07:49,400
Speaker 3: spend the rest of my time exploring art and nature.

146
00:07:49,640 --> 00:07:51,640
Speaker 2: And friends and whatever else.

147
00:07:54,280 --> 00:07:57,320
Speaker 3: That was not my priority really as a young man,

148
00:07:57,360 --> 00:08:00,520
Speaker 3: partly because I was raising kids and everything, like I'd

149
00:08:00,520 --> 00:08:02,760
Speaker 3: better build an s egg because I was terrified all

150
00:08:02,800 --> 00:08:05,880
Speaker 3: the time of letting my family down. But again, it's

151
00:08:05,880 --> 00:08:08,040
Speaker 3: not a question of victimhood. It is a question, over

152
00:08:08,080 --> 00:08:11,480
Speaker 3: and over and over again, of choices. But you know,

153
00:08:11,520 --> 00:08:14,160
Speaker 3: it's so easy to throw back self righteously. Oh so

154
00:08:14,200 --> 00:08:16,920
Speaker 3: people are choosing to be poor, The white man says,

155
00:08:16,960 --> 00:08:20,520
Speaker 3: they're choosing to be Okay, right, and you lose, you're

156
00:08:20,560 --> 00:08:25,320
Speaker 3: done at that. So I'm not bragging on this, I

157
00:08:25,440 --> 00:08:27,280
Speaker 3: swear I'm not. It's just the way I made when

158
00:08:27,280 --> 00:08:30,160
Speaker 3: I was taking econ classes back in college, which was

159
00:08:30,720 --> 00:08:34,720
Speaker 3: roughly the horse was just giving way to the motor car.

160
00:08:35,200 --> 00:08:37,000
Speaker 2: You did all your problems on an abacus.

161
00:08:37,360 --> 00:08:42,840
Speaker 3: Yeah, there were lessons in principles that the professors would

162
00:08:42,880 --> 00:08:44,880
Speaker 3: teach us that I was sitting.

163
00:08:44,960 --> 00:08:46,080
Speaker 2: I would more than once.

164
00:08:46,120 --> 00:08:50,199
Speaker 3: I sat there thinking real people don't act like that.

165
00:08:50,520 --> 00:08:52,280
Speaker 3: It's not like I knew more than them, and I

166
00:08:52,320 --> 00:08:55,440
Speaker 3: didn't form up some revolutionary theory of economics or I

167
00:08:55,559 --> 00:08:59,280
Speaker 3: just went off chasing girls and drinking beer. But anyway,

168
00:08:59,840 --> 00:09:02,680
Speaker 3: I I thought this was so interesting. The economics of

169
00:09:02,840 --> 00:09:08,080
Speaker 3: identity is a growing field. A Nobel Prize winning economist,

170
00:09:08,600 --> 00:09:13,880
Speaker 3: a couple of guys you've never heard of, were I

171
00:09:13,920 --> 00:09:16,280
Speaker 3: came up with this principle that identity may be the

172
00:09:16,280 --> 00:09:20,640
Speaker 3: most important economic decision people make. How you view your

173
00:09:20,720 --> 00:09:24,520
Speaker 3: role in the world will affect your choices. Yet even

174
00:09:24,559 --> 00:09:29,520
Speaker 3: the great economic thinkers of academic history, you know, economics

175
00:09:29,520 --> 00:09:35,640
Speaker 3: in general, had not incorporated identity into a formal economic model.

176
00:09:35,960 --> 00:09:41,240
Speaker 3: Sociologists and psychologists, they spent half their time about you

177
00:09:41,240 --> 00:09:44,160
Speaker 3: know your self image, what image you want to project

178
00:09:44,240 --> 00:09:46,959
Speaker 3: to others, you know what groups you're part of, as

179
00:09:46,960 --> 00:09:53,520
Speaker 3: being like incredibly important. But economics had ignored it, and

180
00:09:53,720 --> 00:09:56,199
Speaker 3: they talk about being a Trump voter, Harris voter. It's

181
00:09:56,200 --> 00:09:58,640
Speaker 3: an expression of identity that goes along with many other

182
00:09:58,679 --> 00:10:01,439
Speaker 3: expressions from the car you drive to the clothes you wear,

183
00:10:02,480 --> 00:10:05,120
Speaker 3: and it's it's there's a lot of social pressure in it.

184
00:10:05,400 --> 00:10:07,920
Speaker 3: And he mentions the two economists who came up with

185
00:10:08,000 --> 00:10:12,560
Speaker 3: this idea, your identity can be buttressed, threatened, changed, or

186
00:10:12,600 --> 00:10:15,640
Speaker 3: influenced by others, not merely by your own preferences and

187
00:10:15,720 --> 00:10:20,000
Speaker 3: decisions that who am I, how do I want others

188
00:10:20,040 --> 00:10:20,400
Speaker 3: to see me?

189
00:10:20,520 --> 00:10:21,559
Speaker 2: And who are we?

190
00:10:22,320 --> 00:10:27,120
Speaker 3: So these two economists, for instance, talked about how being

191
00:10:27,160 --> 00:10:31,720
Speaker 3: an academic economist is a social category and among the

192
00:10:31,760 --> 00:10:36,079
Speaker 3: prescriptions for academic economists might include owning a practical car,

193
00:10:36,920 --> 00:10:41,880
Speaker 3: wearing comfortable shoes, and living a certain I'm an academic

194
00:10:41,920 --> 00:10:45,120
Speaker 3: economist lifestyle. And if you were to run out and

195
00:10:45,160 --> 00:10:47,720
Speaker 3: buy a Porsche or a pair of five hundred dollars

196
00:10:47,760 --> 00:10:51,320
Speaker 3: loafers or something like that, not only would it cause

197
00:10:51,360 --> 00:10:53,720
Speaker 3: a real economist to feel bad, but you'd immediately be

198
00:10:53,800 --> 00:10:55,720
Speaker 3: scorned and mocked by your colleagues.

199
00:10:56,760 --> 00:10:59,560
Speaker 1: Wow, so you're supposed to be in a Honda accord

200
00:10:59,640 --> 00:11:02,040
Speaker 1: and where where you know something you got at the mall,

201
00:11:02,120 --> 00:11:05,320
Speaker 1: at the walking store that that that fits in with

202
00:11:05,360 --> 00:11:06,600
Speaker 1: the whole identity thing.

203
00:11:07,400 --> 00:11:08,839
Speaker 2: Yeah, a couple other examples.

204
00:11:08,960 --> 00:11:12,480
Speaker 3: Uh So, this model posits that individuals gain from both

205
00:11:12,520 --> 00:11:15,880
Speaker 3: material outcomes and actions that conform to their identities. In

206
00:11:15,880 --> 00:11:18,760
Speaker 3: the labor market, workers are motivated by wages as well

207
00:11:18,800 --> 00:11:21,640
Speaker 3: as by how well their jobs aligned with their identity.

208
00:11:21,960 --> 00:11:24,960
Speaker 3: A corporate job might offer financial stability, but if it

209
00:11:25,000 --> 00:11:29,000
Speaker 3: conflicts with an individual's identity as an environmentalist, for instance,

210
00:11:29,520 --> 00:11:32,959
Speaker 3: or an iconoclastic artist or whatever, that's mismatch can lead

211
00:11:32,960 --> 00:11:38,520
Speaker 3: to dissatisfication, dissatisfaction, and underperformance. In this vein, trying to

212
00:11:38,520 --> 00:11:44,000
Speaker 3: train coal miners to be nurses may be futile. And

213
00:11:44,040 --> 00:11:46,120
Speaker 3: there's there's a great deal more to this. I love

214
00:11:46,120 --> 00:11:47,720
Speaker 3: to draw on and on about this stuff.

215
00:11:47,880 --> 00:11:48,120
Speaker 7: Yeah.

216
00:11:48,200 --> 00:11:51,480
Speaker 1: That that's that's damned interesting. That is not thought about enough.

217
00:11:51,520 --> 00:11:56,160
Speaker 1: Whenever I hear, you know, teaching coal miners to code

218
00:11:56,240 --> 00:11:58,720
Speaker 1: or whatever that politicians throw around, that sort of stuff.

219
00:11:58,760 --> 00:12:03,199
Speaker 1: I know enough working class people in in my life.

220
00:12:03,240 --> 00:12:06,319
Speaker 1: That what an identity that is? This is this is

221
00:12:06,360 --> 00:12:09,040
Speaker 1: who I am. I'm a farmer, I'm a you know.

222
00:12:09,280 --> 00:12:11,120
Speaker 1: I I work with my hands. I work outside to

223
00:12:11,160 --> 00:12:14,599
Speaker 1: do whatever I would. I would hang myself before I

224
00:12:14,640 --> 00:12:16,960
Speaker 1: would sit in an office in code all day long.

225
00:12:17,280 --> 00:12:20,280
Speaker 1: So the idea that I mean, because of the identity

226
00:12:20,320 --> 00:12:22,520
Speaker 1: stuff you're talking about, this is not just just to

227
00:12:22,520 --> 00:12:24,480
Speaker 1: make a living. This is who I am, this is

228
00:12:24,520 --> 00:12:27,280
Speaker 1: what This is what I projected the world. This is

229
00:12:27,280 --> 00:12:29,199
Speaker 1: what I want to project to my family and friends.

230
00:12:29,760 --> 00:12:32,360
Speaker 3: Thanks Matt, Jack, you hit me with one of the

231
00:12:32,360 --> 00:12:36,000
Speaker 3: best examples of this I've ever heard. Michael's getting nervous

232
00:12:36,000 --> 00:12:37,880
Speaker 3: because we need to take a break. I'll keep it short.

233
00:12:38,160 --> 00:12:40,480
Speaker 3: But at one point we were talking about the concept

234
00:12:40,559 --> 00:12:44,040
Speaker 3: of keeping it real, how athletes and rappers and all

235
00:12:44,160 --> 00:12:46,480
Speaker 3: they they got to act like they're still of the

236
00:12:46,520 --> 00:12:50,240
Speaker 3: hood or what have you. And and it's an interesting

237
00:12:50,240 --> 00:12:52,480
Speaker 3: topic because sometimes it hurts you in your life or

238
00:12:52,480 --> 00:12:56,920
Speaker 3: your earning capabilities or whatever. But at one point I'd

239
00:12:56,960 --> 00:13:00,840
Speaker 3: mentioned to Jack that I had always done my own

240
00:13:01,040 --> 00:13:06,480
Speaker 3: yard work, gardening, mowing, trimming, blowing, all of it because

241
00:13:06,679 --> 00:13:09,679
Speaker 3: I couldn't stand the idea of me being the guy

242
00:13:09,720 --> 00:13:12,840
Speaker 3: who hires a gardener, and you said, you're keeping it

243
00:13:12,880 --> 00:13:16,600
Speaker 3: real right for your people, that's exactly Yeah, yeah, we

244
00:13:16,640 --> 00:13:19,480
Speaker 3: don't have servants. And finally, the yard was just too

245
00:13:19,520 --> 00:13:21,000
Speaker 3: peg and I would have spend all my time doing

246
00:13:21,040 --> 00:13:22,719
Speaker 3: it and I would have neglected my children. So I

247
00:13:22,800 --> 00:13:24,880
Speaker 3: hired a guy for you know, much less than it

248
00:13:24,880 --> 00:13:27,320
Speaker 3: would have cost me in my life. But yeah, that

249
00:13:27,480 --> 00:13:30,280
Speaker 3: concept of keeping it real, your self image, your identitybody,

250
00:13:30,280 --> 00:13:32,000
Speaker 3: it would affect your economic decisions.

251
00:13:32,160 --> 00:13:35,560
Speaker 2: It's enormous. It was completely missing from economics. Yeah, it's

252
00:13:35,559 --> 00:13:37,600
Speaker 2: the way we're built. Interesting.

253
00:13:38,200 --> 00:13:40,560
Speaker 1: I want to talk about the Nobel Prize in uh

254
00:13:40,600 --> 00:13:43,600
Speaker 1: that came out today, and also an overview of the polling,

255
00:13:43,720 --> 00:13:46,040
Speaker 1: not in individual polls or anything like that that I

256
00:13:46,120 --> 00:13:47,600
Speaker 1: guarantee you will find interesting.

257
00:13:48,000 --> 00:13:51,400
Speaker 2: All on the way.

258
00:13:52,120 --> 00:13:55,000
Speaker 3: Well, listen to this McDonald's issuing major beef producers for

259
00:13:55,040 --> 00:13:57,360
Speaker 3: allegedly conspiring to limit their supplies.

260
00:13:58,200 --> 00:14:03,040
Speaker 2: Meanwhile, Arby's is like this does affect us? Wow? Wow?

261
00:14:03,480 --> 00:14:06,560
Speaker 2: What is it? It just doesn't affect us? What is it?

262
00:14:06,600 --> 00:14:09,199
Speaker 3: What the late night guys war on Arby's on a

263
00:14:09,360 --> 00:14:12,000
Speaker 3: fine meat he sandwich purveyor.

264
00:14:12,120 --> 00:14:16,320
Speaker 2: I don't know. I don't know, I don't get it.

265
00:14:16,360 --> 00:14:20,040
Speaker 2: I've enjoyed many delicious sandwich at Arby's. I agree.

266
00:14:20,880 --> 00:14:25,480
Speaker 1: So the Nobel Prize in Physics was awarded to a

267
00:14:25,520 --> 00:14:30,240
Speaker 1: couple of scientists working on AI, John Hopfield and Jeffrey Hinton,

268
00:14:30,280 --> 00:14:33,240
Speaker 1: who we've talked about before, who's often considered the godfather

269
00:14:33,280 --> 00:14:36,360
Speaker 1: of AI or something like that, have showed a completely

270
00:14:36,400 --> 00:14:38,880
Speaker 1: new way for us to use computers to aid and

271
00:14:38,920 --> 00:14:42,560
Speaker 1: guide us in solving problems. The committee said, I felt

272
00:14:42,600 --> 00:14:44,040
Speaker 1: like this is the sort of thing that's going to

273
00:14:44,040 --> 00:14:47,520
Speaker 1: be looked back on years from now, kind of like Oppenheimer,

274
00:14:47,720 --> 00:14:49,880
Speaker 1: you know, cracking the code for making a bomb. Oh,

275
00:14:49,880 --> 00:14:55,640
Speaker 1: what a breakthrough for mankind nuclear energy. Look everybody, and yeah,

276
00:14:56,040 --> 00:14:57,760
Speaker 1: they have showed a completely new way for us to

277
00:14:57,800 --> 00:15:00,360
Speaker 1: use computers to guide and tackle me any of the

278
00:15:00,440 --> 00:15:04,320
Speaker 1: challenges society faces. Machine learning based on the human brain

279
00:15:04,400 --> 00:15:09,760
Speaker 1: is currently revolutionary, revolutionizing science, engineering, and daily life. Yeah,

280
00:15:09,800 --> 00:15:12,280
Speaker 1: it's the daily life part of it. I think that

281
00:15:12,320 --> 00:15:15,200
Speaker 1: most of us are worried about and like it might

282
00:15:15,280 --> 00:15:19,360
Speaker 1: render the need to work completely. You know, they will

283
00:15:19,400 --> 00:15:21,760
Speaker 1: go away, and it will restructure society in a way

284
00:15:21,760 --> 00:15:24,440
Speaker 1: that has never even been considered in the history of mankind,

285
00:15:24,520 --> 00:15:28,200
Speaker 1: but yeah, good for you. In the Nobel Price, I

286
00:15:28,280 --> 00:15:32,520
Speaker 1: just saw it really downplayed the significance of what this

287
00:15:32,600 --> 00:15:35,040
Speaker 1: could be. So I don't know, And it was all

288
00:15:35,120 --> 00:15:37,040
Speaker 1: cheery talk. That's what seemed to her to me. It

289
00:15:37,120 --> 00:15:40,400
Speaker 1: was just all happy cheery. Isn't this great?

290
00:15:41,280 --> 00:15:45,080
Speaker 3: If only we could find a wise and beneficent, magnificent

291
00:15:46,800 --> 00:15:51,680
Speaker 3: philosopher king who could judge will this overall would be

292
00:15:51,720 --> 00:15:54,880
Speaker 3: a good thing or a bad thing? Because I'm not

293
00:15:54,920 --> 00:15:55,880
Speaker 3: sure Cherry's still out.

294
00:15:55,880 --> 00:15:59,760
Speaker 2: How much time I got, Michael? Maybe four months with

295
00:15:59,800 --> 00:16:01,880
Speaker 2: the Yeah, no, you got about a minute.

296
00:16:02,200 --> 00:16:04,240
Speaker 1: It's not really long enough. We do this all the time,

297
00:16:04,600 --> 00:16:07,440
Speaker 1: starting to really drive me crazy. The stuff I most

298
00:16:07,480 --> 00:16:09,400
Speaker 1: want to talk about we leave no time for. How

299
00:16:09,440 --> 00:16:10,680
Speaker 1: do we fix that problem?

300
00:16:10,800 --> 00:16:11,800
Speaker 2: Is it fix them alone?

301
00:16:12,400 --> 00:16:12,640
Speaker 7: Yeah?

302
00:16:12,680 --> 00:16:15,560
Speaker 2: Sure, I don't think it is. We've been doing this

303
00:16:15,600 --> 00:16:18,320
Speaker 2: for the next years. We get there years. There's no

304
00:16:18,360 --> 00:16:21,280
Speaker 2: way we can current correct our mistake. You need to

305
00:16:21,360 --> 00:16:25,320
Speaker 2: leave behind your preconceptions, man, old dog new tricks doesn't work.

306
00:16:25,920 --> 00:16:29,920
Speaker 2: Just do what you want to do. Had no time, yes,

307
00:16:30,120 --> 00:16:30,600
Speaker 2: time for this.

308
00:16:30,800 --> 00:16:35,400
Speaker 3: You brought up nuclear power. We are It's like most

309
00:16:35,400 --> 00:16:37,920
Speaker 3: people don't want to think about death. Iran is working

310
00:16:37,960 --> 00:16:40,040
Speaker 3: as hard as it can to get the atomic bomb

311
00:16:40,080 --> 00:16:42,560
Speaker 3: as quickly as it can, and it's run by Islamic

312
00:16:42,680 --> 00:16:43,800
Speaker 3: lunatics l l L.

313
00:16:45,680 --> 00:16:48,040
Speaker 2: Nobody wants to talk about it or do anything about it.

314
00:16:48,840 --> 00:16:51,000
Speaker 1: The Secretary of State set himself that there are a

315
00:16:51,040 --> 00:16:52,280
Speaker 1: couple of weeks from breakout.

316
00:16:52,280 --> 00:16:54,080
Speaker 2: If they decide they want to do it, a couple

317
00:16:54,080 --> 00:16:54,680
Speaker 2: of weeks.

318
00:16:55,840 --> 00:16:57,760
Speaker 1: If we're and decide, go let's get a nuclear weapon,

319
00:16:57,760 --> 00:16:59,280
Speaker 1: it would take them a couple of weeks to have

320
00:16:59,280 --> 00:17:00,000
Speaker 1: a nuclear weapon.

321
00:17:00,360 --> 00:17:01,000
Speaker 2: Not amazing.

322
00:17:01,720 --> 00:17:04,119
Speaker 3: And if old weird Beard decides to end the Jews,

323
00:17:04,160 --> 00:17:05,479
Speaker 3: he's got the power to do it.

324
00:17:05,560 --> 00:17:07,680
Speaker 2: Good Lord, hold weird.

325
00:17:07,359 --> 00:17:11,920
Speaker 6: Beard Armstrong and getdy.

326
00:17:13,520 --> 00:17:19,880
Speaker 4: A quarter of registered voters still say they don't know you.

327
00:17:20,040 --> 00:17:23,199
Speaker 4: They don't know what makes you tick, and why do

328
00:17:23,240 --> 00:17:25,719
Speaker 4: you think that is what's the disconnect.

329
00:17:26,680 --> 00:17:32,480
Speaker 5: It's an election bill, and I take it seriously that

330
00:17:32,600 --> 00:17:35,240
Speaker 5: I have to earn everyone's vote. This is an election

331
00:17:35,359 --> 00:17:38,760
Speaker 5: for president of the United States. No one should be

332
00:17:38,800 --> 00:17:41,000
Speaker 5: able to take for granted that they can just declare

333
00:17:41,080 --> 00:17:44,840
Speaker 5: themselves a candidate and automatically receive support.

334
00:17:44,840 --> 00:17:45,600
Speaker 2: You have to earn it.

335
00:17:46,119 --> 00:17:47,280
Speaker 5: And that's what I intend to do.

336
00:17:47,320 --> 00:17:50,480
Speaker 1: That I don't I wish I could put my finger

337
00:17:50,520 --> 00:17:55,120
Speaker 1: on why her answers bother me so much, but they do.

338
00:17:55,880 --> 00:18:00,960
Speaker 1: Her tone of voice is this is obvious, it's simple

339
00:18:01,200 --> 00:18:02,359
Speaker 1: and very impressive.

340
00:18:03,280 --> 00:18:06,520
Speaker 3: When it's never any of those, No, it is not,

341
00:18:07,359 --> 00:18:13,360
Speaker 3: it's it's usually trite. It's no selection bill. What nobody

342
00:18:13,440 --> 00:18:16,240
Speaker 3: knows what you believe? Like you don't have any You've.

343
00:18:16,080 --> 00:18:18,879
Speaker 2: Got to earn the votes. What what?

344
00:18:19,640 --> 00:18:22,320
Speaker 1: But the question was, why do there's a court or

345
00:18:22,320 --> 00:18:23,760
Speaker 1: why do a court of the people say they don't

346
00:18:23,760 --> 00:18:24,399
Speaker 1: know who you are.

347
00:18:25,880 --> 00:18:27,800
Speaker 2: So you haven't earned them yet? Is that what you're saying?

348
00:18:27,840 --> 00:18:30,359
Speaker 1: Is I wish she was trying to say anyway, I

349
00:18:30,359 --> 00:18:32,919
Speaker 1: want to get to this overarching polling stuff, which I

350
00:18:32,920 --> 00:18:34,440
Speaker 1: think you will find interesting.

351
00:18:34,480 --> 00:18:37,159
Speaker 2: I really do. But here's a little more. He followed

352
00:18:37,240 --> 00:18:37,600
Speaker 2: up on that.

353
00:18:38,040 --> 00:18:41,000
Speaker 6: Tell you what your critics and the column this say.

354
00:18:41,200 --> 00:18:44,679
Speaker 4: Okay, they say, the reason so many voters don't know

355
00:18:44,840 --> 00:18:48,720
Speaker 4: you is that you have changed your position on so

356
00:18:48,840 --> 00:18:49,520
Speaker 4: many things.

357
00:18:49,960 --> 00:18:52,119
Speaker 6: You are against fracking, now you're for it.

358
00:18:53,080 --> 00:18:57,200
Speaker 4: You supported looser immigration policies, now you're tightening them up.

359
00:18:57,960 --> 00:19:01,640
Speaker 4: You're for medicare for all now you're not so many

360
00:19:01,760 --> 00:19:06,480
Speaker 4: that people don't truly know what you believe or what

361
00:19:06,560 --> 00:19:08,439
Speaker 4: you stand for, and I know you've heard that.

362
00:19:09,240 --> 00:19:11,680
Speaker 5: In the last four years, I have been Vice president

363
00:19:11,720 --> 00:19:14,520
Speaker 5: of the United States, and I have been traveling our country

364
00:19:14,840 --> 00:19:18,840
Speaker 5: and I have been listening to folks and seeking what

365
00:19:18,960 --> 00:19:21,240
Speaker 5: is possible in terms of common ground.

366
00:19:21,760 --> 00:19:23,400
Speaker 6: I believe in building consensus.

367
00:19:23,920 --> 00:19:27,719
Speaker 2: We are diverse people geographically regionally.

368
00:19:27,200 --> 00:19:30,640
Speaker 5: In terms of where we are in our backgrounds, and

369
00:19:31,040 --> 00:19:33,879
Speaker 5: what the American people do want is that we have

370
00:19:34,040 --> 00:19:37,800
Speaker 5: leaders who can build consensus where we can figure out

371
00:19:37,880 --> 00:19:41,120
Speaker 5: compromise and understand it's not a bad thing as long

372
00:19:41,160 --> 00:19:46,000
Speaker 5: as you don't compromise your values to fine common sense solutions.

373
00:19:46,280 --> 00:19:48,560
Speaker 2: And that has been my approach.

374
00:19:49,880 --> 00:19:55,560
Speaker 3: She's completely full of crap. And I think you're supposed

375
00:19:55,560 --> 00:19:57,480
Speaker 3: to call her a mid brain these days.

376
00:19:57,520 --> 00:19:58,160
Speaker 2: Oh, I don't know that.

377
00:19:58,200 --> 00:20:02,240
Speaker 3: I mean, yeah, yeah, they're just there's so many ways

378
00:20:02,240 --> 00:20:06,119
Speaker 3: she could answered that question more skillfully and.

379
00:20:06,280 --> 00:20:08,440
Speaker 2: She knows words. Yeah, I don't know.

380
00:20:08,760 --> 00:20:11,040
Speaker 1: That's a tough one to answer because you flip flopped

381
00:20:11,880 --> 00:20:15,440
Speaker 1: one hundred and eighty degrees on like six major topics.

382
00:20:16,200 --> 00:20:19,280
Speaker 3: Well, then think she's a midbrain. Is she was onto

383
00:20:19,320 --> 00:20:23,280
Speaker 3: something there? The idea that hey, we've got to reach

384
00:20:23,320 --> 00:20:27,000
Speaker 3: consensus and compromise and she could have said, Look, as

385
00:20:27,040 --> 00:20:29,199
Speaker 3: a senator, I'm one of a hundred, and I was

386
00:20:29,240 --> 00:20:31,960
Speaker 3: advocating for a particular point of view. But I'm running

387
00:20:31,960 --> 00:20:35,800
Speaker 3: to be the president of all Americans, so yeah, I'm not.

388
00:20:36,400 --> 00:20:39,240
Speaker 3: I'm going to try to find ways to bring the

389
00:20:39,320 --> 00:20:42,320
Speaker 3: sides together. So yeah, if I sound more moderate now,

390
00:20:42,480 --> 00:20:45,080
Speaker 3: it's because I want to be a moderate present it's

391
00:20:45,119 --> 00:20:49,760
Speaker 3: an election. Bill, you know what, given how stupid politics

392
00:20:50,200 --> 00:20:54,320
Speaker 3: is r am you know, her rambling nonsense answer, maybe

393
00:20:54,320 --> 00:20:55,160
Speaker 3: that's a better one.

394
00:20:55,240 --> 00:20:57,680
Speaker 2: I don't know. Selection of our lifetime.

395
00:20:58,640 --> 00:21:00,720
Speaker 1: I was pretty happy with sixty minutes Bill Whitaker. There

396
00:21:00,720 --> 00:21:03,439
Speaker 1: are a couple of times that I really like he

397
00:21:03,520 --> 00:21:05,560
Speaker 1: accepted her answer in a way that I really hated.

398
00:21:05,760 --> 00:21:07,679
Speaker 1: But he did the what Tim Russer used to do

399
00:21:07,720 --> 00:21:10,760
Speaker 1: on Meet the Press. You follow up and then like

400
00:21:10,880 --> 00:21:14,119
Speaker 1: basically the second time they do their non answer, you

401
00:21:14,280 --> 00:21:17,280
Speaker 1: let it lay there with like, Okay, you told people

402
00:21:17,680 --> 00:21:19,600
Speaker 1: you don't want to answer this question, so we will

403
00:21:19,600 --> 00:21:22,000
Speaker 1: move on. And I think that's fine. I mean, he

404
00:21:22,320 --> 00:21:24,440
Speaker 1: gave her, you know, two chances there. People don't know

405
00:21:24,480 --> 00:21:26,520
Speaker 1: who you are. Here's all the things you flip flopped on.

406
00:21:26,800 --> 00:21:30,480
Speaker 1: She did her weird Kamala Harris Circular something or other,

407
00:21:30,760 --> 00:21:33,600
Speaker 1: and okay, I think that did her more harm than good.

408
00:21:33,640 --> 00:21:34,240
Speaker 2: That segment.

409
00:21:35,800 --> 00:21:37,760
Speaker 1: It led a whole bunch of people that might not

410
00:21:37,840 --> 00:21:40,040
Speaker 1: have known that that she flipped off, flip flopped on

411
00:21:40,080 --> 00:21:41,720
Speaker 1: all those issues, and she didn't really have a reason

412
00:21:41,800 --> 00:21:43,720
Speaker 1: why she did well.

413
00:21:43,760 --> 00:21:48,719
Speaker 3: I'm reminded of the post debate analysis or polling, in

414
00:21:48,760 --> 00:21:52,920
Speaker 3: which I was quite gratified even though Trump was awful

415
00:21:54,280 --> 00:21:58,120
Speaker 3: to hear the number of folks undecided voters who said,

416
00:21:58,160 --> 00:22:00,960
Speaker 3: you know, yeah, Trump was awful, but she didn't say anything.

417
00:22:01,359 --> 00:22:03,560
Speaker 3: She didn't say anything specific. She didn't give me any

418
00:22:03,600 --> 00:22:06,200
Speaker 3: clue as to how she would govern. And I think,

419
00:22:06,359 --> 00:22:08,119
Speaker 3: you know, last night was another go round to that

420
00:22:08,160 --> 00:22:08,680
Speaker 3: sort of thing.

421
00:22:09,160 --> 00:22:13,040
Speaker 2: It's an election. Though. What'd you think of Taylor's outfit

422
00:22:13,119 --> 00:22:14,840
Speaker 2: last night? Didn't see it?

423
00:22:14,960 --> 00:22:16,240
Speaker 1: Pretty demuror.

424
00:22:18,840 --> 00:22:22,080
Speaker 2: Oh you didn't see it. I didn't see it. Take

425
00:22:22,080 --> 00:22:24,119
Speaker 2: any of the follow up coverage from the New York Post.

426
00:22:25,160 --> 00:22:26,320
Speaker 2: She's back in the stadium.

427
00:22:26,320 --> 00:22:28,560
Speaker 1: It looks like she and Travis have worked things out

428
00:22:28,560 --> 00:22:30,960
Speaker 1: if they were on the rocks, because she wasn't the

429
00:22:31,040 --> 00:22:31,760
Speaker 1: last two games.

430
00:22:31,880 --> 00:22:35,679
Speaker 3: Ah No, okay, I watched the Manning cast mostly for

431
00:22:35,800 --> 00:22:38,760
Speaker 3: some of the first half. They did have a shout

432
00:22:38,800 --> 00:22:40,600
Speaker 3: of Travis sitting on the bench, and I did say,

433
00:22:40,600 --> 00:22:43,879
Speaker 3: by Gully, he's a handsome man. No wonder Taylor's happy

434
00:22:43,880 --> 00:22:45,640
Speaker 3: to be with him. But that was my only thought

435
00:22:45,680 --> 00:22:48,119
Speaker 3: of her for like the last three weeks.

436
00:22:48,320 --> 00:22:51,320
Speaker 1: So, yes, Michael, I was just thinking, the Chiefs are

437
00:22:51,320 --> 00:22:52,960
Speaker 1: five and o though, and she hasn't been at the

438
00:22:52,960 --> 00:22:56,040
Speaker 1: games if she if they start losing, they're gonna blame her.

439
00:22:56,119 --> 00:23:00,080
Speaker 2: Absolutely, she's a bad loss. They should. Yeah, that's just science.

440
00:23:00,200 --> 00:23:02,240
Speaker 1: To the presidential election. I thought this was interesting. So

441
00:23:02,240 --> 00:23:04,200
Speaker 1: the New York Times had one of their biggest polls

442
00:23:04,200 --> 00:23:05,800
Speaker 1: in the field. As we get closer to the election

443
00:23:05,880 --> 00:23:08,600
Speaker 1: four weeks from today, it's actually starting to get pretty close.

444
00:23:09,280 --> 00:23:12,639
Speaker 1: And it was mostly good news for Kamala Harris. She

445
00:23:12,680 --> 00:23:15,720
Speaker 1: increased her lead nationally a little bit, and she continues

446
00:23:15,760 --> 00:23:19,399
Speaker 1: to have higher approval ratings. She'd closed the gap on

447
00:23:19,440 --> 00:23:22,360
Speaker 1: the economy and the border. How why, I have no idea,

448
00:23:22,440 --> 00:23:25,960
Speaker 1: but it is and that's that. But here's so if

449
00:23:26,000 --> 00:23:27,960
Speaker 1: you're a Harris fan, you'd be pretty happy with that.

450
00:23:28,280 --> 00:23:31,560
Speaker 1: Here's from Mark Alprin's newsletter today, and he talks to

451
00:23:31,880 --> 00:23:34,920
Speaker 1: people that have their own internal polls a lot, and

452
00:23:35,040 --> 00:23:37,560
Speaker 1: he can't, you know, flat out say what they are,

453
00:23:37,680 --> 00:23:40,639
Speaker 1: because you know that's not cool. But he characterizes this stuff,

454
00:23:40,640 --> 00:23:42,800
Speaker 1: and that's one of the reasons I like reading his newsletter.

455
00:23:43,560 --> 00:23:45,680
Speaker 1: He writes today, there are many reasons to believe that

456
00:23:45,720 --> 00:23:48,000
Speaker 1: Kamala Harris can win this election. The cross tabs and

457
00:23:48,040 --> 00:23:51,159
Speaker 1: issues questions and the times today are strong for her.

458
00:23:51,640 --> 00:23:55,040
Speaker 1: But there is a group of Republicans and Democrats with

459
00:23:55,320 --> 00:23:57,800
Speaker 1: data some without, who now believed that Trump will win

460
00:23:57,840 --> 00:24:01,400
Speaker 1: the election handily. Adherence to the point of view, whether

461
00:24:01,480 --> 00:24:05,080
Speaker 1: they are found in mar Lago, congressional campaign offices, Wall Street,

462
00:24:05,880 --> 00:24:08,439
Speaker 1: or just in DC are in front of a computer

463
00:24:08,520 --> 00:24:12,640
Speaker 1: screen that looks at reams of data. They might turn

464
00:24:12,680 --> 00:24:15,720
Speaker 1: out to be wrong, but their current certainty or near

465
00:24:15,840 --> 00:24:19,600
Speaker 1: certainty is striking, both for its quite confidence and because

466
00:24:19,600 --> 00:24:22,280
Speaker 1: at the moment there's no analog on the Harris will

467
00:24:22,320 --> 00:24:28,040
Speaker 1: win side. So he's seeing a number of people Republicans

468
00:24:28,160 --> 00:24:30,520
Speaker 1: and Democrats with quite a bit of certainty that Trump's

469
00:24:30,520 --> 00:24:34,000
Speaker 1: gonna win, but nobody with certainty that Harris is gonna win.

470
00:24:35,200 --> 00:24:37,800
Speaker 1: I'm highlighting this perspective today for at least three reasons.

471
00:24:37,800 --> 00:24:40,119
Speaker 1: One it's interesting and important that it exists to it

472
00:24:40,200 --> 00:24:43,600
Speaker 1: might be correct. Three Harris supporters, rather than being upset,

473
00:24:44,960 --> 00:24:47,080
Speaker 1: should be prepared for an outcome that will rock their

474
00:24:47,119 --> 00:24:50,679
Speaker 1: worlds if they think that she can't lose. There are

475
00:24:50,720 --> 00:24:52,640
Speaker 1: a lot of ways to qualify and quantify this point

476
00:24:52,680 --> 00:24:58,320
Speaker 1: of view. But I think that's interesting too.

477
00:24:58,440 --> 00:25:01,280
Speaker 2: The people that have the most inside information.

478
00:25:02,440 --> 00:25:04,879
Speaker 1: There are people that believe Trump's absolutely gonna win, but

479
00:25:04,960 --> 00:25:07,000
Speaker 1: nobody believed that Harris is absolutely gonna win.

480
00:25:07,119 --> 00:25:09,640
Speaker 2: Huh. I wonder what they're looking at, well, Helperton.

481
00:25:09,760 --> 00:25:14,080
Speaker 3: If Helpern wasn't such a sober and smart analyst of

482
00:25:14,119 --> 00:25:17,120
Speaker 3: this sort of stuff, I'd be more skeptical than I am.

483
00:25:18,359 --> 00:25:20,639
Speaker 3: He seems to think they have really good, solid data

484
00:25:20,760 --> 00:25:22,880
Speaker 3: and we're rationale for their point of view.

485
00:25:22,880 --> 00:25:25,200
Speaker 2: And I will never forget Carl.

486
00:25:24,960 --> 00:25:29,359
Speaker 1: Rove, right, Yeah, election night, what was it, twenty twenty twelve,

487
00:25:29,680 --> 00:25:33,120
Speaker 1: twenty twelve, And that's why my area goes, That's why

488
00:25:33,160 --> 00:25:35,320
Speaker 1: my brother became as cynical as he did. I sent

489
00:25:35,359 --> 00:25:38,680
Speaker 1: a picture of us with Carl Rove from the convention,

490
00:25:39,000 --> 00:25:40,679
Speaker 1: and he's like, I don't want to see that. He's

491
00:25:40,720 --> 00:25:43,639
Speaker 1: still met at Carlolf Because Carl Rove spent that entire cycle,

492
00:25:43,640 --> 00:25:46,600
Speaker 1: if you don't remember it, with his whiteboar kind of laughing,

493
00:25:46,720 --> 00:25:49,560
Speaker 1: chuckling at all. The polling was, the polling was wrong.

494
00:25:49,600 --> 00:25:52,000
Speaker 1: They're missing the Democrats. Look at how many Democrats they

495
00:25:52,000 --> 00:25:54,879
Speaker 1: pulled versus Republicans. You're gonna find out an election night.

496
00:25:54,920 --> 00:25:57,320
Speaker 1: And he had a lot of people convinced boys that

497
00:25:57,320 --> 00:26:00,200
Speaker 1: they're gonna be surprised come election night. Mitt Romney is

498
00:26:00,280 --> 00:26:02,760
Speaker 1: actually ahead, there's no and the polls turn out to

499
00:26:02,760 --> 00:26:05,119
Speaker 1: be the actual poll The voting turned out to be

500
00:26:05,200 --> 00:26:06,680
Speaker 1: exactly what the poles were saying.

501
00:26:07,200 --> 00:26:09,040
Speaker 2: And so that blew up a lot of these models

502
00:26:09,040 --> 00:26:10,960
Speaker 2: for a lot of people by kicking the gut.

503
00:26:11,160 --> 00:26:13,399
Speaker 1: But I think Karl Orb had a particular reason to

504
00:26:13,480 --> 00:26:15,520
Speaker 1: talk to the Fox crowd and keep them happy through

505
00:26:15,520 --> 00:26:19,520
Speaker 1: the whole election. That's not really Mark Halprin's model. Oh,

506
00:26:21,640 --> 00:26:27,240
Speaker 1: I'm trying to prepare. This is not just a normal election,

507
00:26:27,320 --> 00:26:29,680
Speaker 1: as everybody knows. I'm trying to prepare for what it's

508
00:26:29,720 --> 00:26:33,640
Speaker 1: going to be like in this country emotionally. If Trump wins, Oh,

509
00:26:33,640 --> 00:26:38,000
Speaker 1: there's no preparing for that, and that's what I'm hoping for.

510
00:26:38,280 --> 00:26:40,240
Speaker 1: But if Trump wins, it's going to be.

511
00:26:40,800 --> 00:26:41,439
Speaker 2: It's going to be.

512
00:26:41,640 --> 00:26:43,879
Speaker 1: Well, Halpern himself says there's going to be a mental

513
00:26:43,920 --> 00:26:47,359
Speaker 1: health crisis coast to coast for a certain crowd.

514
00:26:48,080 --> 00:26:50,520
Speaker 2: Oh yeah, that's undeniable. Yeah, it will be.

515
00:26:51,480 --> 00:26:55,639
Speaker 3: And that's not like a whimsical description of it, like

516
00:26:55,720 --> 00:26:58,200
Speaker 3: people will be freaked out and pissed off. No, there

517
00:26:58,240 --> 00:27:00,800
Speaker 3: will be an actual mental health christ Oh.

518
00:27:00,760 --> 00:27:02,119
Speaker 2: Yes, yes, yes, yes, yes.

519
00:27:02,520 --> 00:27:04,840
Speaker 1: There will be articles in the New York Times about

520
00:27:04,840 --> 00:27:06,600
Speaker 1: how to deal with the new reality.

521
00:27:06,720 --> 00:27:08,080
Speaker 2: And it's that sort of thing.

522
00:27:09,080 --> 00:27:12,960
Speaker 3: Five million news XANAX prescriptions written today for the fourth

523
00:27:13,080 --> 00:27:16,119
Speaker 3: day in a row following the election of Donald Trump.

524
00:27:17,200 --> 00:27:19,720
Speaker 3: Katy Perry's crying, Madonna's crying.

525
00:27:19,760 --> 00:27:23,880
Speaker 1: But it's going to be way beyond that the way

526
00:27:23,920 --> 00:27:25,720
Speaker 1: it was when he beat Hillary. I think it's going

527
00:27:25,800 --> 00:27:27,600
Speaker 1: to be a level we haven't seen. Like you just said,

528
00:27:27,760 --> 00:27:29,760
Speaker 1: I think you're right, there's no preparing for this.

529
00:27:30,600 --> 00:27:31,000
Speaker 2: Yeah.

530
00:27:31,240 --> 00:27:35,760
Speaker 3: Yeah, well, and given the left's willingness to burn it

531
00:27:35,840 --> 00:27:41,040
Speaker 3: all down if they think they're in our self righteously

532
00:27:41,200 --> 00:27:44,880
Speaker 3: righteous position, Yeah, it could be a poostorm.

533
00:27:45,200 --> 00:27:48,840
Speaker 2: The one thing that I do want them I'll shut

534
00:27:48,880 --> 00:27:49,359
Speaker 2: up about it.

535
00:27:49,800 --> 00:27:54,120
Speaker 1: I hope whoever wins it's it's it's clearly they won.

536
00:27:54,240 --> 00:27:55,680
Speaker 2: They won by enough states.

537
00:27:55,840 --> 00:27:59,840
Speaker 1: There's not one state hanging out there mostly male in ballots.

538
00:28:00,359 --> 00:28:03,119
Speaker 2: You know. Just whoever wins.

539
00:28:03,640 --> 00:28:07,040
Speaker 3: It's gonna be twenty seven votes spread over four states.

540
00:28:08,760 --> 00:28:14,480
Speaker 2: How does that taste? The twenty seven votes? Now, shut

541
00:28:14,560 --> 00:28:17,520
Speaker 2: up about it. Like you said, here's.

542
00:28:17,280 --> 00:28:19,560
Speaker 3: The word from our friends that simply Save Home Security.

543
00:28:19,640 --> 00:28:23,119
Speaker 3: They have this fast protect monitoring and liveguard protection. Simply

544
00:28:23,119 --> 00:28:26,000
Speaker 3: Save agents can act within five seconds of receiving your alarm,

545
00:28:26,160 --> 00:28:28,680
Speaker 3: can even see and speak to intruders to stop them

546
00:28:28,680 --> 00:28:32,240
Speaker 3: in their tracks, and significantly tell the cops this is

547
00:28:32,359 --> 00:28:33,320
Speaker 3: not a false alarm.

548
00:28:33,359 --> 00:28:35,359
Speaker 2: I'm looking at the scumbag right now.

549
00:28:35,600 --> 00:28:38,080
Speaker 3: You get over there and give them a wood shampoo,

550
00:28:38,520 --> 00:28:39,880
Speaker 3: or at least put them in cuffs.

551
00:28:40,200 --> 00:28:42,440
Speaker 1: Easy to install, I've done it a couple of times.

552
00:28:42,440 --> 00:28:44,880
Speaker 1: And activate your Simply Safe system in less than an hour,

553
00:28:45,160 --> 00:28:47,360
Speaker 1: or you can choose professional installation if you want to.

554
00:28:47,360 --> 00:28:48,480
Speaker 2: To me, the proof is in the pudding.

555
00:28:48,480 --> 00:28:50,160
Speaker 1: Always has been the fact that they don't have long

556
00:28:50,240 --> 00:28:53,280
Speaker 1: term contracts, the fact that they're comfortable at Simply Safe,

557
00:28:53,280 --> 00:28:55,120
Speaker 1: that you're going to use a product like the product

558
00:28:55,160 --> 00:28:55,960
Speaker 1: and want to stick with it.

559
00:28:56,520 --> 00:28:59,120
Speaker 3: Pricing is transparent and affordable at less than a dollar

560
00:28:59,200 --> 00:29:02,280
Speaker 3: a day. No hidden fees ever, and again no contracts,

561
00:29:02,480 --> 00:29:03,840
Speaker 3: easy to install and activate.

562
00:29:03,840 --> 00:29:05,800
Speaker 2: Protect your home with fifty.

563
00:29:05,440 --> 00:29:08,120
Speaker 3: Percent off of new simply Safe system plus a free

564
00:29:08,120 --> 00:29:11,080
Speaker 3: indoor security camera when you sign up for fast protect monitoring.

565
00:29:11,400 --> 00:29:14,840
Speaker 3: Just visit simply Scafe, simply safe dot com, slash armstrong.

566
00:29:15,160 --> 00:29:18,480
Speaker 3: That's simply safe dot com slash armstrong. Hey, and check

567
00:29:18,480 --> 00:29:23,320
Speaker 3: out the high death night vision cameras. Oh they're so great.

568
00:29:23,560 --> 00:29:26,640
Speaker 3: Simply safe dot com slash armstrong. There's no safe like

569
00:29:26,800 --> 00:29:27,720
Speaker 3: simply say.

570
00:29:28,000 --> 00:29:32,880
Speaker 1: Milton, the fourth strongest hurricane ever recorded since they've been

571
00:29:32,880 --> 00:29:36,000
Speaker 1: able to measure these sorts of things. And uh, we're

572
00:29:36,000 --> 00:29:37,520
Speaker 1: going to try to help out the victims of the

573
00:29:37,600 --> 00:29:40,640
Speaker 1: last hurricane, and uh, maybe get prepared for this next one.

574
00:29:40,680 --> 00:29:43,480
Speaker 1: A bunch of other stuff on the way, stay with us.

575
00:29:44,320 --> 00:29:46,760
Speaker 6: Hey, what does.

576
00:29:46,640 --> 00:29:50,000
Speaker 1: The states the storm zone need, mister President? So what

577
00:29:50,120 --> 00:29:51,440
Speaker 1: are the states of the storm zone?

578
00:29:51,440 --> 00:29:52,040
Speaker 7: What do they need?

579
00:29:52,400 --> 00:29:56,680
Speaker 2: What you call today calling the storm zone? Yes, sir,

580
00:29:57,240 --> 00:29:57,840
Speaker 2: I'm learning what.

581
00:29:57,840 --> 00:29:58,800
Speaker 6: Storm resulting about.

582
00:30:00,680 --> 00:30:04,800
Speaker 3: They get everything they did. They're very happy off the board.

583
00:30:06,640 --> 00:30:08,560
Speaker 2: I've heard that twenty times. Is still amazing.

584
00:30:09,960 --> 00:30:12,600
Speaker 1: That is a guy who's no longer in UH has

585
00:30:12,640 --> 00:30:14,120
Speaker 1: a control of his brain.

586
00:30:14,600 --> 00:30:17,000
Speaker 3: That is non compassmentus, and he's the leader of the

587
00:30:17,040 --> 00:30:17,520
Speaker 3: free world.

588
00:30:17,680 --> 00:30:20,880
Speaker 1: Great Scott, I just saw the headline that Joe Biden

589
00:30:20,920 --> 00:30:23,200
Speaker 1: has had an overseas trip planned. I think that's to

590
00:30:23,200 --> 00:30:25,960
Speaker 1: get him out of the country so that he's less

591
00:30:26,000 --> 00:30:28,800
Speaker 1: involved in the campaign. That's actually a strategy from what

592
00:30:28,840 --> 00:30:31,720
Speaker 1: I read. Anyway, He's going to stay in DC to

593
00:30:31,880 --> 00:30:34,200
Speaker 1: monitor the hurricanes. Okay, well as you just heard there,

594
00:30:34,360 --> 00:30:36,120
Speaker 1: what storm? Oh, I didn't know what storm you were

595
00:30:36,120 --> 00:30:39,720
Speaker 1: talking about? Not big one, the biggest one in the country.

596
00:30:39,760 --> 00:30:41,240
Speaker 1: Then everybody's talking about that one.

597
00:30:41,840 --> 00:30:46,640
Speaker 2: Milton, Milton Bradley, Milton Friedman.

598
00:30:48,680 --> 00:30:51,800
Speaker 3: A lot of folks, including ourselves, have looked upon the

599
00:30:51,840 --> 00:30:57,400
Speaker 3: devastation of the North Carolina Hills, especially with astonishment and

600
00:30:57,440 --> 00:31:01,000
Speaker 3: sadness and worry, as a lot of these people did

601
00:31:01,000 --> 00:31:03,440
Speaker 3: not have flood insurance because it never floods there, and

602
00:31:03,480 --> 00:31:06,400
Speaker 3: their homes and businesses were swept away, and a lot

603
00:31:06,400 --> 00:31:08,440
Speaker 3: of folks would love to help if they can. We

604
00:31:08,640 --> 00:31:12,560
Speaker 3: have done some vetting and digging and looked into who's

605
00:31:12,640 --> 00:31:16,760
Speaker 3: actually on the ground doing great work there and helping

606
00:31:16,800 --> 00:31:20,120
Speaker 3: people at the point of the disaster, and it's tough

607
00:31:20,200 --> 00:31:24,080
Speaker 3: to beat the United Way of the counties involved. If

608
00:31:24,080 --> 00:31:26,520
Speaker 3: you would like to kick in a few dollars, we

609
00:31:26,640 --> 00:31:30,200
Speaker 3: certainly encourage you to do that. Just go to Armstrong

610
00:31:30,200 --> 00:31:32,440
Speaker 3: and Getty dot com, scroll down a tiny bit and

611
00:31:32,840 --> 00:31:33,880
Speaker 3: it's donate here.

612
00:31:34,040 --> 00:31:35,120
Speaker 2: It's super easy.

613
00:31:35,360 --> 00:31:40,240
Speaker 3: Again, we've talked to these folks man that everybody needs food, clothing, water, everything, everything.

614
00:31:40,280 --> 00:31:45,000
Speaker 3: Everything's gone medicine and they're uninsured. It's just it's a nightmare.

615
00:31:45,120 --> 00:31:46,840
Speaker 3: So anyway, if you'd like to help, good Armstrong and

616
00:31:46,840 --> 00:31:47,480
Speaker 3: Getty dot com.

617
00:31:47,560 --> 00:31:49,320
Speaker 1: Yeah, so this is the United Way for that from

618
00:31:49,320 --> 00:31:52,240
Speaker 1: that very county that's getting the most attention. And you

619
00:31:52,240 --> 00:31:55,320
Speaker 1: know these are people that live there, not coming in

620
00:31:55,400 --> 00:31:57,280
Speaker 1: from somewhere else and trying to figure out how to

621
00:31:57,320 --> 00:32:00,520
Speaker 1: handle it. They they this is their community. So yeah,

622
00:32:00,560 --> 00:32:02,360
Speaker 1: go to Armstrong Getty dot com. That's what you do.

623
00:32:04,400 --> 00:32:06,040
Speaker 2: Yes, that's what I said. Repeat Italy.

624
00:32:06,320 --> 00:32:08,640
Speaker 1: So you got another hurricane barren down and who knows

625
00:32:08,680 --> 00:32:10,520
Speaker 1: what this is going to do to FEMA. I came

626
00:32:10,560 --> 00:32:16,040
Speaker 1: across this from some national meteorologist last night. Uh, this

627
00:32:16,080 --> 00:32:19,240
Speaker 1: is nothing short of astronomical. I'm at a loss for

628
00:32:19,320 --> 00:32:24,600
Speaker 1: words to meteorology, meteorologically describe you the storm's small eye

629
00:32:24,640 --> 00:32:28,520
Speaker 1: and intensity eight hundred and ninety seven millibars. Is that

630
00:32:28,600 --> 00:32:30,840
Speaker 1: what they use of pressure? With one hundred and eighty

631
00:32:30,880 --> 00:32:33,240
Speaker 1: mile an hour max sustained winds gusts of two hundred

632
00:32:33,320 --> 00:32:36,160
Speaker 1: this is now the fourth strongest hurricane ever recorded by

633
00:32:36,160 --> 00:32:38,840
Speaker 1: pressure on this side of the world, and the eye

634
00:32:38,920 --> 00:32:41,440
Speaker 1: is tiny in all caps, which I guess matters. At

635
00:32:41,480 --> 00:32:44,120
Speaker 1: nearly three point eight miles wide, this hurricane is nearing

636
00:32:44,120 --> 00:32:49,880
Speaker 1: the mathematical limit of what Earth's atmosphere can produce. Yikes,

637
00:32:50,720 --> 00:32:53,960
Speaker 1: it's almost at the peak of what could even happen

638
00:32:54,000 --> 00:32:56,880
Speaker 1: on the planet.

639
00:32:56,040 --> 00:33:03,040
Speaker 3: Last night, wivey, and so Tampa Bay is particularly vulnerable.

640
00:33:03,040 --> 00:33:06,680
Speaker 3: That's where the hurricane appears to be headed. It's densely populated,

641
00:33:06,760 --> 00:33:10,640
Speaker 3: fast growing area, and I was astounded to learn it

642
00:33:10,640 --> 00:33:13,800
Speaker 3: hasn't been hit by a major hurricane in over a century.

643
00:33:14,560 --> 00:33:17,160
Speaker 3: It has dodged numerous storms over the year until two

644
00:33:17,200 --> 00:33:19,840
Speaker 3: weeks ago when Helene made landfall to the north. But

645
00:33:20,040 --> 00:33:23,480
Speaker 3: it really hammered Tampa Bay with a powerful storm surge,

646
00:33:23,880 --> 00:33:26,560
Speaker 3: which is essentially the force of the storm pushes ocean

647
00:33:26,640 --> 00:33:30,360
Speaker 3: water up onto shore, and the speed of the winds

648
00:33:30,400 --> 00:33:33,360
Speaker 3: is a horrendous problem obviously, and the rainfall is a

649
00:33:33,360 --> 00:33:36,120
Speaker 3: big deal. But the size of this storm and its

650
00:33:36,160 --> 00:33:39,280
Speaker 3: ability to create storm surge, I guess is also you know,

651
00:33:39,400 --> 00:33:42,720
Speaker 3: at the tip top of the scale. They're predicting a

652
00:33:42,760 --> 00:33:45,160
Speaker 3: storm surge at ten to fifteen feet for the Tampa

653
00:33:45,200 --> 00:33:47,840
Speaker 3: Bay area and up to fifteen inches of rainfall across

654
00:33:47,880 --> 00:33:52,080
Speaker 3: parts of Florida and Tampa and Saint Pete most vulnerable

655
00:33:52,080 --> 00:33:56,080
Speaker 3: to flooding damage, according the most vulnerable metro area in

656
00:33:56,160 --> 00:34:00,480
Speaker 3: America to flooding damage more than New Orleans because of

657
00:34:00,480 --> 00:34:03,800
Speaker 3: a shallow continental shelf off the coast and a funnel

658
00:34:03,840 --> 00:34:07,040
Speaker 3: effect in Tampa Bay that creates the potential for a

659
00:34:07,120 --> 00:34:11,000
Speaker 3: huge buildup of water that can just wash away neighborhoods.

660
00:34:11,800 --> 00:34:14,680
Speaker 1: And Mike's Katrina was a three when it hit shore.

661
00:34:14,800 --> 00:34:17,000
Speaker 1: So the category it is when it hits shore is

662
00:34:17,040 --> 00:34:18,640
Speaker 1: not the key to the whole thing.

663
00:34:20,000 --> 00:34:24,799
Speaker 3: Right right, Well, it's it's twin menaces, different menaces. And

664
00:34:24,920 --> 00:34:29,640
Speaker 3: I had not realized the Tampa Bay metro area is

665
00:34:29,680 --> 00:34:32,000
Speaker 3: now three point two million.

666
00:34:31,719 --> 00:34:37,400
Speaker 1: People, So the mayor, so I was down in Florida

667
00:34:37,480 --> 00:34:40,360
Speaker 1: one time before or after Hurricane I don't remember. I

668
00:34:40,400 --> 00:34:42,239
Speaker 1: was down in Key West and talking to some of

669
00:34:42,239 --> 00:34:44,400
Speaker 1: the Key West locals in the bar or whatever, and like,

670
00:34:44,480 --> 00:34:45,120
Speaker 1: did you stay?

671
00:34:45,320 --> 00:34:46,000
Speaker 2: We always stay.

672
00:34:46,000 --> 00:34:49,160
Speaker 1: They always tell you got to leave every hurricane three

673
00:34:49,200 --> 00:34:50,600
Speaker 1: times a year. They tell us this is going to

674
00:34:50,640 --> 00:34:53,759
Speaker 1: be the worst one ever and whatever. And they were

675
00:34:53,880 --> 00:34:57,440
Speaker 1: very blase about it. You know that's true until it's not.

676
00:34:57,960 --> 00:35:01,480
Speaker 1: And the mayor of Tampa is saying if you do

677
00:35:01,520 --> 00:35:04,480
Speaker 1: not leave, you will die. That was her declarative statement.

678
00:35:04,600 --> 00:35:07,920
Speaker 1: If you do not leave, you will die. Wow, that's something.

679
00:35:08,680 --> 00:35:12,719
Speaker 3: Yeah, yeah, well Tampa's I mean, have you ever been

680
00:35:12,760 --> 00:35:15,839
Speaker 3: to Florida? Tampa is as flat as a frying pan,

681
00:35:16,880 --> 00:35:22,239
Speaker 3: and the drainage systems aren't the best, and so yeah,

682
00:35:22,280 --> 00:35:26,640
Speaker 3: they think there's a tremendous potential for unthinkable loss of

683
00:35:26,960 --> 00:35:27,840
Speaker 3: life and property.

684
00:35:28,000 --> 00:35:30,160
Speaker 2: Anyway, we've just got a minute. That's too bad.

685
00:35:30,200 --> 00:35:32,839
Speaker 3: We've got a couple of great emails from folks who've

686
00:35:32,920 --> 00:35:34,200
Speaker 3: dealt with FEMA.

687
00:35:34,640 --> 00:35:34,719
Speaker 5: HM.

688
00:35:35,440 --> 00:35:37,239
Speaker 1: We wish you could come next hour with that because

689
00:35:37,239 --> 00:35:41,120
Speaker 1: that's the hot topic man. And again, this could be

690
00:35:41,239 --> 00:35:45,239
Speaker 1: a huge political issue because the current administration is going

691
00:35:45,320 --> 00:35:48,920
Speaker 1: to get tagged with any failures and FEMA's already stretched thin,

692
00:35:49,080 --> 00:35:51,320
Speaker 1: claiming they're out of money, and this Milton's about to

693
00:35:51,400 --> 00:35:54,040
Speaker 1: hit Florida, and it ain't like the people in North

694
00:35:54,040 --> 00:35:56,040
Speaker 1: Carolina are all of a sudden not gonna need help

695
00:35:56,320 --> 00:35:58,320
Speaker 1: once Tampa Bay's getting all the attention.

696
00:35:58,920 --> 00:36:01,560
Speaker 3: Well, given the fact that the Department of Homeland Security

697
00:36:01,560 --> 00:36:04,680
Speaker 3: oversees all of this, I will not hear a suggestion

698
00:36:04,800 --> 00:36:08,279
Speaker 3: that Alejandro Mayorkis is anything less than a stellar beer.

699
00:36:08,320 --> 00:36:12,040
Speaker 1: I've got a busy day Monday, Tuesday, Wednesday, and so on.

700
00:36:12,600 --> 00:36:15,719
Speaker 3: So the world's stupidest waste of skin is.

701
00:36:15,920 --> 00:36:21,480
Speaker 2: In charge of all of this. God save us Armstrong

702
00:36:21,560 --> 00:36:22,080
Speaker 2: and Getty