1
00:00:04,360 --> 00:00:08,600
Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George

2
00:00:08,720 --> 00:00:12,760
Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty.

3
00:00:12,640 --> 00:00:19,760
Speaker 2: I'm strong and Gatty and Key Armstrong and Getty.

4
00:00:26,320 --> 00:00:29,800
Speaker 3: WNDA players are sending a very frank message to the

5
00:00:29,880 --> 00:00:33,160
Speaker 3: league during a very pivotal time. The All Stars warming

6
00:00:33,240 --> 00:00:35,919
Speaker 3: up in these T shirts last night that read pay

7
00:00:36,000 --> 00:00:38,600
Speaker 3: us what you owe us the game, later drawing chance

8
00:00:38,640 --> 00:00:40,480
Speaker 3: from fans echoing pay them.

9
00:00:40,640 --> 00:00:43,400
Speaker 2: This comes a mid negotiations ran I really need out

10
00:00:43,400 --> 00:00:43,599
Speaker 2: of that.

11
00:00:43,640 --> 00:00:46,120
Speaker 4: So the w NBA players came out on the court

12
00:00:46,159 --> 00:00:49,000
Speaker 4: for their All Star Game, which I did not see,

13
00:00:49,600 --> 00:00:52,279
Speaker 4: wearing shirts that said play us what you pay us,

14
00:00:52,320 --> 00:00:54,560
Speaker 4: what you owe us, and that caused a lot of

15
00:00:54,720 --> 00:00:57,920
Speaker 4: online chatter. Is that sort of thing will? A lot

16
00:00:57,960 --> 00:01:04,360
Speaker 4: of people pointing out the fifty dollars the league lost

17
00:01:04,680 --> 00:01:11,160
Speaker 4: most recent season According to the NBA, which owns the WNBA,

18
00:01:11,240 --> 00:01:15,399
Speaker 4: The WNBA is supported by only exists really because of

19
00:01:15,440 --> 00:01:21,480
Speaker 4: the NBA finally subsidized by Yeah. Others are claiming that

20
00:01:21,600 --> 00:01:24,520
Speaker 4: all that math has changed since Caitlin Clark came in

21
00:01:24,680 --> 00:01:29,040
Speaker 4: and their ratings are up. The average attendance is up

22
00:01:29,040 --> 00:01:30,840
Speaker 4: all across the country. I don't have any idea the

23
00:01:30,920 --> 00:01:33,880
Speaker 4: numbers of that, but at least historically it has been

24
00:01:33,920 --> 00:01:37,920
Speaker 4: a league that would not exist on its own if somebody,

25
00:01:38,160 --> 00:01:40,760
Speaker 4: if the NBA wasn't for some reason thinking it's in

26
00:01:40,800 --> 00:01:43,440
Speaker 4: their best interest to have a woman's version out there.

27
00:01:43,600 --> 00:01:46,320
Speaker 4: There's not enough of an appetite to make it a

28
00:01:46,920 --> 00:01:49,600
Speaker 4: profitable business at least a pisted.

29
00:01:50,200 --> 00:01:54,800
Speaker 5: Two main motivations in doing that is far as I've

30
00:01:54,840 --> 00:01:59,400
Speaker 5: been able to gather. Number One, it's a decent idea

31
00:01:59,680 --> 00:02:04,040
Speaker 5: because like women's soccer is pretty big and profitable, and

32
00:02:04,120 --> 00:02:06,880
Speaker 5: they thought maybe there's a market for this. The second

33
00:02:06,880 --> 00:02:10,880
Speaker 5: thing is they are a league that has had problems

34
00:02:10,919 --> 00:02:17,280
Speaker 5: with guys who don't treat women very well, and especially

35
00:02:17,320 --> 00:02:20,680
Speaker 5: during the hashtag me too era when it was for

36
00:02:20,760 --> 00:02:22,680
Speaker 5: that two and a half years or whatever it was,

37
00:02:22,760 --> 00:02:26,120
Speaker 5: you had to desperately signal that you were good with

38
00:02:26,160 --> 00:02:29,480
Speaker 5: women and up with women and down with domestic violence

39
00:02:29,520 --> 00:02:31,079
Speaker 5: and rape and the rest of it, and aren't we

40
00:02:31,160 --> 00:02:38,519
Speaker 5: all I'm differentiating frantic virtue signaling with actual morals. That's

41
00:02:38,520 --> 00:02:39,919
Speaker 5: part of it. They just thought it was really good

42
00:02:39,919 --> 00:02:42,600
Speaker 5: for their image. I points it was like buying carbon

43
00:02:42,680 --> 00:02:43,480
Speaker 5: credits or something.

44
00:02:44,280 --> 00:02:44,919
Speaker 2: As I was just.

45
00:02:44,919 --> 00:02:49,280
Speaker 4: Reading one article preparing for this. Apparently the NBA purposefully

46
00:02:50,040 --> 00:02:53,360
Speaker 4: makes the books on this pretty murky, so it's pretty

47
00:02:53,360 --> 00:02:55,720
Speaker 4: difficult to figure out how much they subsidize and how

48
00:02:55,760 --> 00:02:58,920
Speaker 4: much money the WNBA makes or dozen or whatever. But

49
00:02:59,680 --> 00:03:03,959
Speaker 4: it is worth pointing out that the players, and they're

50
00:03:04,040 --> 00:03:07,440
Speaker 4: voting for other players on the All Star Team had

51
00:03:07,480 --> 00:03:11,120
Speaker 4: Caitlin Clark at ninth. You're out there wearing shirts for

52
00:03:11,160 --> 00:03:12,880
Speaker 4: the All Star Game and says, pay us what are worth?

53
00:03:13,000 --> 00:03:16,040
Speaker 4: If you get a raise, it's because of Caitlyn Clark.

54
00:03:16,840 --> 00:03:18,880
Speaker 4: I mean, so I wouldn't be hating on her too much.

55
00:03:19,600 --> 00:03:21,640
Speaker 5: Stadium was full for the All Star Game, Jack, do

56
00:03:21,639 --> 00:03:22,600
Speaker 5: you know where it was held?

57
00:03:24,360 --> 00:03:26,880
Speaker 2: Guessing apples? Guessing where she plays? Right?

58
00:03:26,960 --> 00:03:29,880
Speaker 5: Yeah, coincidence. That's kind of funny, isn't it.

59
00:03:30,800 --> 00:03:33,040
Speaker 4: I mean you don't have to like her, I suppose,

60
00:03:33,120 --> 00:03:35,720
Speaker 4: but you ought to realize that if you make more money,

61
00:03:36,120 --> 00:03:38,200
Speaker 4: she's entirely the reason.

62
00:03:39,040 --> 00:03:39,800
Speaker 2: Right now.

63
00:03:39,880 --> 00:03:42,240
Speaker 4: Might not be fair, of course, but you know where

64
00:03:42,240 --> 00:03:46,080
Speaker 4: does fair come into entertainment? Well, for instance, as I

65
00:03:46,160 --> 00:03:49,320
Speaker 4: just spent an unholy amount of time watching the British Open,

66
00:03:49,400 --> 00:03:52,200
Speaker 4: or the Open Championship as we prefer to call it

67
00:03:52,240 --> 00:03:55,280
Speaker 4: in the golf world over the weekend.

68
00:03:55,600 --> 00:03:57,280
Speaker 2: Tiger Woods was a prick.

69
00:03:58,080 --> 00:04:01,680
Speaker 5: But every single guy with a golf club in his

70
00:04:01,800 --> 00:04:04,720
Speaker 5: hands playing on TV will tell you, oh man, our

71
00:04:04,760 --> 00:04:07,000
Speaker 5: sports just exploded because of Tiger. We're all making a

72
00:04:07,000 --> 00:04:08,800
Speaker 5: hell of a lot more money because of Tiger.

73
00:04:08,840 --> 00:04:09,200
Speaker 2: Oh yeah.

74
00:04:09,240 --> 00:04:10,760
Speaker 4: Back in the day, I would have watched. I would

75
00:04:10,800 --> 00:04:13,040
Speaker 4: have known the tournament was on this weekend. I didn't,

76
00:04:13,240 --> 00:04:16,440
Speaker 4: and would have watched some if Tiger was playing, and

77
00:04:15,840 --> 00:04:17,960
Speaker 4: because I would have pulled in people like me.

78
00:04:18,680 --> 00:04:22,000
Speaker 2: Yeah exactly. Anyway, coming up later, I.

79
00:04:23,480 --> 00:04:26,240
Speaker 5: Was gonna I've got a bunch of economic like a

80
00:04:26,560 --> 00:04:31,760
Speaker 5: kitchen table, you know, economic dollars and cents stories to

81
00:04:31,760 --> 00:04:32,919
Speaker 5: touch on real quickly.

82
00:04:33,160 --> 00:04:35,000
Speaker 2: That's why I wanted to do this. Getting into it.

83
00:04:35,040 --> 00:04:38,159
Speaker 4: The Caitlin Clark thing is just because it's all it's

84
00:04:38,640 --> 00:04:40,960
Speaker 4: almost so many things are not presented as a dollar

85
00:04:41,040 --> 00:04:43,880
Speaker 4: and cents sort of way. It's not nothing to do

86
00:04:43,960 --> 00:04:47,560
Speaker 4: with fairness or whether women deserve a platform, but blah blah.

87
00:04:47,320 --> 00:04:49,560
Speaker 2: Blah, none of that has anything to do with anything.

88
00:04:50,240 --> 00:04:53,360
Speaker 5: Major league shortstop makes forty million dollars a year when

89
00:04:53,400 --> 00:04:57,120
Speaker 5: a school teacher makes eighty thousand. Yeah, that's correct, that's

90
00:04:57,240 --> 00:05:00,640
Speaker 5: absolutely correct, and that's precisely the way it should be anyway,

91
00:05:01,279 --> 00:05:05,159
Speaker 5: unless we as a society decide to reprioritize. But we

92
00:05:05,240 --> 00:05:10,599
Speaker 5: haven't anyway. So a couple of things worth noting. Economically speaking,

93
00:05:10,640 --> 00:05:13,560
Speaker 5: here's a little ab for you. Headline A from the

94
00:05:13,560 --> 00:05:17,400
Speaker 5: Wall Street Journal, the US economy is regaining its swagger.

95
00:05:17,720 --> 00:05:19,320
Speaker 2: Consumer spending again.

96
00:05:20,560 --> 00:05:25,599
Speaker 4: Consumers spending again after spring's tariff chill. But some expect

97
00:05:25,640 --> 00:05:28,400
Speaker 4: growth to be slow. But there doesn't seem anything. It

98
00:05:28,440 --> 00:05:30,880
Speaker 4: seemed to be anything that can slow down the economy.

99
00:05:31,200 --> 00:05:34,400
Speaker 4: Then this headline, it's like the next story, Europe prepares

100
00:05:34,440 --> 00:05:37,040
Speaker 4: for a US trade fight. We're about to start a

101
00:05:37,160 --> 00:05:41,240
Speaker 4: trade war with our biggest trading partner over Trump's whole

102
00:05:42,080 --> 00:05:42,960
Speaker 4: tariff thing and.

103
00:05:43,240 --> 00:05:44,719
Speaker 2: Trade imbalances and the rest of it.

104
00:05:44,760 --> 00:05:50,200
Speaker 5: And although in his defense, Europe has had very very

105
00:05:50,240 --> 00:05:53,440
Speaker 5: one sided in their favor rules and rags about trading

106
00:05:53,440 --> 00:05:54,280
Speaker 5: with the US.

107
00:05:54,400 --> 00:05:57,880
Speaker 4: It does confuse me somewhat that I feel like I've

108
00:05:57,920 --> 00:06:02,320
Speaker 4: heard five to and different entities.

109
00:06:02,480 --> 00:06:03,840
Speaker 2: Are our biggest trading partner.

110
00:06:04,080 --> 00:06:08,320
Speaker 4: That stat seems to get thrown around a lot. Our

111
00:06:08,360 --> 00:06:11,080
Speaker 4: biggest trading partner, Mexico, our biggest trading partner. You're up

112
00:06:11,080 --> 00:06:13,760
Speaker 4: our biggest trading partner, China, our biggest trading partner.

113
00:06:13,800 --> 00:06:14,080
Speaker 2: I don't know.

114
00:06:14,080 --> 00:06:16,280
Speaker 4: If it's just like which version you use of the

115
00:06:16,279 --> 00:06:17,279
Speaker 4: way you slice it.

116
00:06:17,360 --> 00:06:21,160
Speaker 2: I don't know. That's an interesting thought. Yeah. Yeah.

117
00:06:21,200 --> 00:06:23,480
Speaker 5: So one of the points that they make in the

118
00:06:23,480 --> 00:06:26,560
Speaker 5: second article about the alleged trade war is that nobody's

119
00:06:26,640 --> 00:06:28,600
Speaker 5: really sure if any of the stuff is ever going

120
00:06:28,680 --> 00:06:31,720
Speaker 5: to happen, the tariffs and the trade wars and the

121
00:06:32,320 --> 00:06:35,960
Speaker 5: sturm and drong, and as markets tend to do, they

122
00:06:35,960 --> 00:06:37,080
Speaker 5: get used to things.

123
00:06:37,200 --> 00:06:38,680
Speaker 2: There's a more technical term for that.

124
00:06:38,760 --> 00:06:41,720
Speaker 5: But now they're like, oh, yeah, Trump' shooting off his

125
00:06:41,760 --> 00:06:43,960
Speaker 5: mouth about a trade war again. Huh interesting? What do

126
00:06:43,960 --> 00:06:46,159
Speaker 5: you want to have for lunch? In a way that

127
00:06:46,360 --> 00:06:49,440
Speaker 5: you know six months ago people go in nuts? And

128
00:06:49,480 --> 00:06:52,520
Speaker 5: then finally this I thought this was really interesting. Now

129
00:06:52,600 --> 00:06:55,000
Speaker 5: not a political thing because I don't care. Yeah, go ahead,

130
00:06:55,000 --> 00:06:58,880
Speaker 5: Oh Lutnick his main spokesman on the whole thing. Oh Lutnick.

131
00:06:58,960 --> 00:06:59,159
Speaker 2: Yeah.

132
00:06:59,240 --> 00:07:01,240
Speaker 4: Howard Lutnick was on one of the shows yesterday and

133
00:07:01,240 --> 00:07:03,280
Speaker 4: I should have had Hanson grabbed the quote. He said

134
00:07:03,279 --> 00:07:07,080
Speaker 4: something like, in the next two weeks, Americans are going

135
00:07:07,080 --> 00:07:10,360
Speaker 4: to see the best something or other they've ever seen

136
00:07:10,360 --> 00:07:13,440
Speaker 4: in their lives economy or business climate, or stock market

137
00:07:13,520 --> 00:07:15,560
Speaker 4: or something. But anyway, he's claiming, in the next two weeks,

138
00:07:15,640 --> 00:07:18,320
Speaker 4: we're gonna it's gonna be the most amazing you've ever

139
00:07:18,360 --> 00:07:19,160
Speaker 4: seen in your life.

140
00:07:20,080 --> 00:07:21,160
Speaker 2: Okay, cool.

141
00:07:21,480 --> 00:07:24,280
Speaker 5: That's during the heels of the ninety deals in ninety

142
00:07:24,360 --> 00:07:26,720
Speaker 5: days and there was like one and a.

143
00:07:26,720 --> 00:07:27,520
Speaker 2: Half m.

144
00:07:32,000 --> 00:07:35,520
Speaker 5: Show me, don't tell me, eh and then this, and

145
00:07:35,600 --> 00:07:37,120
Speaker 5: again I'm not trying to make any point.

146
00:07:37,160 --> 00:07:38,400
Speaker 2: I just found it interesting.

147
00:07:38,600 --> 00:07:42,160
Speaker 4: It's a entirely economic strategy.

148
00:07:46,120 --> 00:07:46,440
Speaker 2: Here's it.

149
00:07:46,480 --> 00:07:51,120
Speaker 5: For instance, in January, a Campbell's New England clam chowder

150
00:07:52,000 --> 00:07:55,680
Speaker 5: can of soup costs less than two bucks on Amazon.

151
00:07:56,360 --> 00:07:59,119
Speaker 5: A this month can of So you're ordering your clam

152
00:07:59,160 --> 00:08:01,520
Speaker 5: soup on Amazon to have delivered rights to your door.

153
00:08:01,560 --> 00:08:04,120
Speaker 5: What a time to be alive. What a great country.

154
00:08:04,160 --> 00:08:06,760
Speaker 5: And it's less than two bucks. And you can be

155
00:08:06,840 --> 00:08:08,880
Speaker 5: in a part of the country where you haven't seen

156
00:08:08,920 --> 00:08:11,280
Speaker 5: a clam since you know, but you can get it

157
00:08:11,320 --> 00:08:13,480
Speaker 5: delivered to your door the next day, maybe the same day.

158
00:08:14,480 --> 00:08:19,120
Speaker 5: And this month, that same soup costs two sixty on Amazon,

159
00:08:19,160 --> 00:08:23,720
Speaker 5: a thirty percent increase in the five months since President

160
00:08:23,720 --> 00:08:28,240
Speaker 5: Trump first announced sweeping tariffs. Amazon has quietly raised prices

161
00:08:28,440 --> 00:08:31,600
Speaker 5: on low cost products, a bunch of them. Deodorant, protein shakes,

162
00:08:31,600 --> 00:08:34,319
Speaker 5: PetCare items, blah blah blah. Wall Street Journal analysis and

163
00:08:34,400 --> 00:08:36,640
Speaker 5: nearly twenty five hundred items.

164
00:08:36,200 --> 00:08:39,199
Speaker 2: Found on average.

165
00:08:39,240 --> 00:08:43,600
Speaker 5: Prices on inexpensive goods increased five percent by July. So

166
00:08:43,640 --> 00:08:47,240
Speaker 5: it's not a ton, but it's some. In April, Amazon

167
00:08:47,360 --> 00:08:49,840
Speaker 5: said they would hold the line on prices, but indeed

168
00:08:49,880 --> 00:08:52,160
Speaker 5: they have raised them on thousands and thousands of items.

169
00:08:52,800 --> 00:08:58,040
Speaker 5: Walmart lowered prices on the same items by nearly two percent.

170
00:08:59,080 --> 00:09:03,959
Speaker 4: Okay, let's say items. What's going on there? Different business strategies.

171
00:09:04,600 --> 00:09:09,760
Speaker 4: Here's what Lutnick said, how do you reverse public opposition?

172
00:09:10,440 --> 00:09:13,000
Speaker 6: Oh, they're going to love the deals that President Trump

173
00:09:13,080 --> 00:09:13,920
Speaker 6: and I are doing.

174
00:09:13,960 --> 00:09:15,480
Speaker 2: I mean, they're just going to love them.

175
00:09:15,800 --> 00:09:15,960
Speaker 7: You know.

176
00:09:16,040 --> 00:09:19,840
Speaker 6: The President figured out the right answer and sent letters

177
00:09:19,840 --> 00:09:22,520
Speaker 6: to these countries said this is going to fix the

178
00:09:22,559 --> 00:09:24,840
Speaker 6: trade deficit. This will go a long way to fixing

179
00:09:24,880 --> 00:09:28,439
Speaker 6: the trade deficit. And that's gotten these countries to the table.

180
00:09:28,720 --> 00:09:31,520
Speaker 6: And they were going to open their markets or they're

181
00:09:31,520 --> 00:09:34,560
Speaker 6: going to pay the tariff. And if they open their markets,

182
00:09:34,600 --> 00:09:40,640
Speaker 6: the opportunity for Americans to export to grow their business, farmers, ranchers, fishermen.

183
00:09:41,200 --> 00:09:43,959
Speaker 6: This is going to be the next two weeks are

184
00:09:44,000 --> 00:09:45,960
Speaker 6: going to be weeks for the record books.

185
00:09:46,200 --> 00:09:48,680
Speaker 2: President Trump is going to deliver for the American people.

186
00:09:48,800 --> 00:09:50,120
Speaker 4: Next two weeks are going to be weeks for the

187
00:09:50,120 --> 00:09:53,600
Speaker 4: record books. I hope it's true as juicy as Trump steaks.

188
00:09:53,760 --> 00:09:56,400
Speaker 4: That's right, It's going to be fabulous. Why that was

189
00:09:56,520 --> 00:09:59,800
Speaker 4: just why its Why do you need to do that?

190
00:10:00,600 --> 00:10:05,520
Speaker 4: Because I'm a realist, I demand realism. I think you

191
00:10:05,559 --> 00:10:08,000
Speaker 4: should put on your Trump shoes and walk that back.

192
00:10:10,559 --> 00:10:12,840
Speaker 2: Take a look at my Trump watch and it's not running.

193
00:10:12,840 --> 00:10:13,120
Speaker 2: That's on.

194
00:10:13,960 --> 00:10:17,640
Speaker 5: So here's here's one of the difficulties in speaking of

195
00:10:17,760 --> 00:10:20,640
Speaker 5: these things quickly. It reminds me of the end of

196
00:10:20,640 --> 00:10:23,120
Speaker 5: the last hour. Jack said something about the Epstein thing,

197
00:10:24,120 --> 00:10:26,280
Speaker 5: and I said, well, it depends what you mean by

198
00:10:26,280 --> 00:10:27,120
Speaker 5: the Epstein thing.

199
00:10:27,440 --> 00:10:28,839
Speaker 2: As we are discussing last week.

200
00:10:28,880 --> 00:10:31,680
Speaker 5: There are many different sizes you can order of the

201
00:10:31,720 --> 00:10:36,760
Speaker 5: Epstein quote unquote conspiracy. Some are very modest, fact based.

202
00:10:36,800 --> 00:10:40,120
Speaker 5: This guy was a perv. He was getting underage girls

203
00:10:40,160 --> 00:10:43,760
Speaker 5: for other pervs. Who are they? Why have so few

204
00:10:43,840 --> 00:10:48,800
Speaker 5: charges been filed? That is a perfectly reasonable, fairly conservative

205
00:10:48,840 --> 00:10:49,520
Speaker 5: way to look at it.

206
00:10:49,720 --> 00:10:50,600
Speaker 2: Then you got your.

207
00:10:50,480 --> 00:10:54,440
Speaker 5: Full blown the Jews are running a worldwide sex pizza

208
00:10:55,080 --> 00:10:59,520
Speaker 5: under see Hollywood driven sex cabal thing.

209
00:11:00,160 --> 00:11:01,600
Speaker 2: Different version of the Epstein thing.

210
00:11:02,440 --> 00:11:04,840
Speaker 5: When you're talking about the tariffs and the trade wars

211
00:11:04,840 --> 00:11:09,000
Speaker 5: and the agreements, you almost have to talk about every

212
00:11:09,120 --> 00:11:12,840
Speaker 5: country or every set of countries differently, because it's absolutely

213
00:11:12,880 --> 00:11:17,240
Speaker 5: true Europe has all sorts of trade barriers against us

214
00:11:17,400 --> 00:11:20,160
Speaker 5: that are the legacy of the post WW two era

215
00:11:20,280 --> 00:11:24,200
Speaker 5: when they were decimated, and we were smart to help

216
00:11:24,240 --> 00:11:28,240
Speaker 5: them grow their economies so they would become customers again

217
00:11:28,679 --> 00:11:32,000
Speaker 5: and become trading partners again, and ally is worth having again,

218
00:11:32,280 --> 00:11:33,440
Speaker 5: that was smart.

219
00:11:33,960 --> 00:11:35,400
Speaker 2: It needs to end now.

220
00:11:35,480 --> 00:11:38,679
Speaker 5: The only reason their economies are weak is because they're socialists,

221
00:11:38,880 --> 00:11:43,559
Speaker 5: and we've been defending them against foreign adversaries for the

222
00:11:43,600 --> 00:11:48,080
Speaker 5: last seventy five years. Having said all that, the whole

223
00:11:48,160 --> 00:11:52,480
Speaker 5: trade deficit thing is just silly. That's not a problem

224
00:11:52,760 --> 00:11:54,120
Speaker 5: except in very rare cases.

225
00:11:54,160 --> 00:11:55,040
Speaker 2: Here's a for instance.

226
00:11:55,320 --> 00:11:57,880
Speaker 5: This is another Trump is silly thing. Sorry, I'm piling

227
00:11:57,920 --> 00:11:59,680
Speaker 5: on a bit. I love what he's done on the

228
00:11:59,679 --> 00:12:01,960
Speaker 5: border and cleaning up the woke in the universities.

229
00:12:02,120 --> 00:12:04,680
Speaker 2: Couldn't love it. Anymore. But this stuff is just silly.

230
00:12:04,760 --> 00:12:08,760
Speaker 2: Love that the Oval Office now looks like a Chinese restaurant. Absolutely.

231
00:12:08,880 --> 00:12:14,920
Speaker 5: Finally, so Trump announced last week that he's ordered Coca

232
00:12:15,000 --> 00:12:16,239
Speaker 5: Cola to put cane.

233
00:12:15,960 --> 00:12:19,120
Speaker 4: Sugar ben right, that's right, finally, that's what I said

234
00:12:19,120 --> 00:12:21,199
Speaker 4: of cord, the issue I voted on.

235
00:12:22,160 --> 00:12:26,800
Speaker 5: Yeah, and uh, here's the problem. Though, we have a

236
00:12:27,040 --> 00:12:31,960
Speaker 5: huge shortage of sugar in this country. We don't produce

237
00:12:32,080 --> 00:12:34,280
Speaker 5: nearly as much as we eat because we're.

238
00:12:34,120 --> 00:12:37,440
Speaker 2: A fat, fat people. We produced about.

239
00:12:37,200 --> 00:12:40,120
Speaker 5: Four million tons of cane sugar four million. We consume

240
00:12:40,200 --> 00:12:41,400
Speaker 5: twelve and a half million.

241
00:12:41,400 --> 00:12:41,679
Speaker 2: Wow.

242
00:12:43,000 --> 00:12:45,080
Speaker 5: The rest is made up by imports and sugar source

243
00:12:45,120 --> 00:12:48,160
Speaker 5: from sugar beets, which is a little bit different. And

244
00:12:48,240 --> 00:12:51,760
Speaker 5: so we would have to have an enormous increase in

245
00:12:52,960 --> 00:12:55,319
Speaker 5: sugar imports from.

246
00:12:56,440 --> 00:12:57,600
Speaker 2: Brazil and Mexico.

247
00:12:58,280 --> 00:13:02,200
Speaker 5: Okay, those are country is that face Trump administration tariffs

248
00:13:02,240 --> 00:13:06,439
Speaker 5: of fifty and thirty percent respectively on August first, allegedly,

249
00:13:06,800 --> 00:13:09,160
Speaker 5: so your coke could be about three dollars and fifty

250
00:13:09,160 --> 00:13:12,360
Speaker 5: cents for one thing. And secondly, all of a sudden,

251
00:13:12,400 --> 00:13:16,720
Speaker 5: out of nowhere, we would have enormous trade deficits because

252
00:13:16,800 --> 00:13:21,640
Speaker 5: they have something we want that doesn't hurt us my grocery.

253
00:13:21,720 --> 00:13:24,400
Speaker 4: I have an enormous trade deficit with my grocery store.

254
00:13:25,040 --> 00:13:26,960
Speaker 4: I give them way more money than they give me.

255
00:13:27,040 --> 00:13:28,959
Speaker 4: I can't in fact, I can't find any record of

256
00:13:29,000 --> 00:13:32,000
Speaker 4: them giving me any money. But that money filters its

257
00:13:32,040 --> 00:13:35,920
Speaker 4: way through the economy into my pocket and it's fine.

258
00:13:37,520 --> 00:13:39,400
Speaker 4: So it's just it's a silly way of looking at it.

259
00:13:40,760 --> 00:13:44,000
Speaker 4: Big sugar or something. Yeah, I just I don't get

260
00:13:44,000 --> 00:13:44,679
Speaker 4: his strategy.

261
00:13:44,720 --> 00:13:47,920
Speaker 5: Maybe it's just his his I'm crazy hardball and it

262
00:13:48,200 --> 00:13:49,480
Speaker 5: yields great agreements.

263
00:13:49,520 --> 00:13:50,280
Speaker 2: I hope that's the case.

264
00:13:50,320 --> 00:13:52,560
Speaker 4: It may be getting a pet psyche could help your

265
00:13:52,559 --> 00:13:55,000
Speaker 4: dog's life. Also, I want to be a billionaire. Work

266
00:13:55,080 --> 00:13:57,360
Speaker 4: ninety hours a week. That's the answer. Among other things

267
00:13:57,360 --> 00:14:03,360
Speaker 4: on the way.

268
00:14:05,320 --> 00:14:08,480
Speaker 8: TVs announced they are indeed ending the late night comedy

269
00:14:08,520 --> 00:14:11,200
Speaker 8: show The Late Show with Stephen Colbert next year.

270
00:14:11,720 --> 00:14:13,760
Speaker 2: Jimmy Kimmel blasted.

271
00:14:13,200 --> 00:14:17,000
Speaker 8: The decision with a foul mouth post on Instagram. He

272
00:14:17,000 --> 00:14:18,800
Speaker 8: would have done it on his show, but he wanted

273
00:14:18,800 --> 00:14:19,600
Speaker 8: people to see it.

274
00:14:22,720 --> 00:14:25,200
Speaker 2: That's kind of funny. Wow.

275
00:14:27,720 --> 00:14:34,680
Speaker 4: So Tulsa Gabbert, the skunk striped National Security National Director

276
00:14:34,680 --> 00:14:38,040
Speaker 4: of Intelligence or whatever she is, made some explosive claims

277
00:14:38,080 --> 00:14:44,720
Speaker 4: yesterday about information she has about the Obama administration purposefully

278
00:14:44,760 --> 00:14:49,600
Speaker 4: fabricating stuff about Russia, Gates, et cetera, et cetera. That

279
00:14:49,680 --> 00:14:52,800
Speaker 4: including Barry himself, if true, would be a really big deal.

280
00:14:52,840 --> 00:14:55,400
Speaker 2: So we'll explain that coming up. Yep.

281
00:14:55,440 --> 00:14:57,800
Speaker 5: Indeed, a couple of really cool stories from the world

282
00:14:57,920 --> 00:15:03,320
Speaker 5: of science, one being that, and I became aware of

283
00:15:03,320 --> 00:15:08,760
Speaker 5: this because a friend is involved in this. But can

284
00:15:08,800 --> 00:15:13,040
Speaker 5: new blood tests really detect cancer early? A federally funded

285
00:15:13,080 --> 00:15:15,640
Speaker 5: study will research whether a new generation of cancer blood

286
00:15:15,640 --> 00:15:17,520
Speaker 5: tests are ready for patients.

287
00:15:19,600 --> 00:15:21,400
Speaker 2: It's a big giant study. Yeah.

288
00:15:21,440 --> 00:15:26,480
Speaker 5: These multi cancer, multi cancer early detection tests are designed

289
00:15:26,520 --> 00:15:28,880
Speaker 5: to flag the aeron genetic signatures of more than a

290
00:15:28,920 --> 00:15:32,560
Speaker 5: dozen cancers. Wow, how doctors and medical practices are already

291
00:15:32,720 --> 00:15:33,280
Speaker 5: using them?

292
00:15:33,480 --> 00:15:35,880
Speaker 4: How often do you think we'd be jabbing ourselves? Would

293
00:15:35,880 --> 00:15:38,880
Speaker 4: we start doing it at home? Because it's so we're

294
00:15:38,920 --> 00:15:41,760
Speaker 4: going in like every How often would you do it?

295
00:15:43,440 --> 00:15:46,720
Speaker 2: Probably every couple of years would be enough. Right? No, God, No.

296
00:15:47,000 --> 00:15:48,840
Speaker 4: When I got when I had my cancer, I asked

297
00:15:48,880 --> 00:15:50,520
Speaker 4: him how long do you think I had this? They

298
00:15:50,520 --> 00:15:54,240
Speaker 4: said it could have been nine months, or it could

299
00:15:54,280 --> 00:15:56,400
Speaker 4: have been a couple of weeks depends on how fast

300
00:15:56,440 --> 00:15:59,840
Speaker 4: it grew. But yeah, I think you'd have to go

301
00:15:59,880 --> 00:16:02,320
Speaker 4: in every month, or you'd want to if you could

302
00:16:02,720 --> 00:16:06,040
Speaker 4: catch this gieminy. I don't want to get jabbed every month.

303
00:16:06,040 --> 00:16:09,400
Speaker 5: I don't cancer either, But you know, I wonder, you know,

304
00:16:09,520 --> 00:16:13,200
Speaker 5: obviously we're way early to be discussing that with any

305
00:16:13,280 --> 00:16:16,200
Speaker 5: you know, authority, But I wonder how expensive the test

306
00:16:16,240 --> 00:16:18,440
Speaker 5: will be or you know, because some things are much

307
00:16:18,440 --> 00:16:20,560
Speaker 5: more you know, expensive than others in the world of

308
00:16:20,560 --> 00:16:26,200
Speaker 5: blood testing. And the other interesting story is they're making

309
00:16:27,280 --> 00:16:31,680
Speaker 5: find out more and more about dog's ability to actually

310
00:16:32,520 --> 00:16:37,600
Speaker 5: smell that somebody has Parkinson's disease. Wow, yeah they can.

311
00:16:38,040 --> 00:16:39,360
Speaker 5: That's been known for quite some time.

312
00:16:40,040 --> 00:16:46,080
Speaker 4: Yeah, Parkinson's causes changes in your skin and has a

313
00:16:46,160 --> 00:16:48,720
Speaker 4: unique sense signature linked to the disease.

314
00:16:49,320 --> 00:16:51,680
Speaker 2: And and you know, the.

315
00:16:52,040 --> 00:16:55,800
Speaker 5: Dogs, let's see what was their actual success rate up

316
00:16:55,840 --> 00:17:00,000
Speaker 5: to eighty percent sensitivity and ninety eight percent by sniff

317
00:17:00,280 --> 00:17:03,200
Speaker 5: skin swabs, but in the field it's more like eighty

318
00:17:03,240 --> 00:17:05,320
Speaker 5: percent in the early testing.

319
00:17:05,400 --> 00:17:06,760
Speaker 2: So I mean that.

320
00:17:07,320 --> 00:17:10,480
Speaker 4: Between the blood tests and like dogs, might we be

321
00:17:10,520 --> 00:17:13,119
Speaker 4: able to nip these dread diseases in the bud in

322
00:17:13,119 --> 00:17:13,480
Speaker 4: the future.

323
00:17:13,520 --> 00:17:17,080
Speaker 2: That'd be amazing. What Tulsi Glack gab Well is rough.

324
00:17:17,200 --> 00:17:21,000
Speaker 4: Tosy Gabber claims she has Armstrong and.

325
00:17:20,880 --> 00:17:24,080
Speaker 2: Geeddy fuzz on this. Whatsoever.

326
00:17:24,280 --> 00:17:29,399
Speaker 1: The Russians interfered in our election during twenty sixteen cycle.

327
00:17:29,480 --> 00:17:31,960
Speaker 1: They did it with purpose, They did it with sophistication,

328
00:17:32,400 --> 00:17:36,000
Speaker 1: They did it with overwhelming technical efforts.

329
00:17:37,200 --> 00:17:40,159
Speaker 2: The Great James Comy, the hero of every story he

330
00:17:40,240 --> 00:17:41,560
Speaker 2: ever tells, or.

331
00:17:41,480 --> 00:17:44,439
Speaker 4: They did not a whole lot other than run a

332
00:17:44,440 --> 00:17:47,840
Speaker 4: bunch of Facebook ads, which is ultimately kind of everything

333
00:17:47,880 --> 00:17:49,520
Speaker 4: they found for the most part.

334
00:17:50,680 --> 00:17:55,800
Speaker 5: Right well, interestingly enough, over the weekend, Tulsa Gabber the

335
00:17:55,960 --> 00:18:02,240
Speaker 5: DNI made a statement that we're about to essentially saying

336
00:18:02,280 --> 00:18:07,320
Speaker 5: Barack Obama was intimately involved in the Russian collusion hoax

337
00:18:07,840 --> 00:18:09,439
Speaker 5: and everything that flowed from it.

338
00:18:09,600 --> 00:18:11,720
Speaker 2: In that and I'll let her.

339
00:18:11,600 --> 00:18:14,520
Speaker 5: Speak, but that the cast of characters, those names we know,

340
00:18:15,520 --> 00:18:19,160
Speaker 5: Comy Clapper, Brennan, Susan Rice, John Kerry, they are all

341
00:18:19,200 --> 00:18:23,320
Speaker 5: in on it. Indeed, it is criminal what they did here,

342
00:18:23,400 --> 00:18:24,560
Speaker 5: is miss Gabbard.

343
00:18:25,040 --> 00:18:26,919
Speaker 2: It's not a Democrat or Republican issue.

344
00:18:26,920 --> 00:18:28,000
Speaker 9: This is an.

345
00:18:27,880 --> 00:18:32,440
Speaker 7: Issue with such significant impact that it should concern every

346
00:18:32,480 --> 00:18:35,600
Speaker 7: American because it has to do with the fabric and

347
00:18:35,640 --> 00:18:39,760
Speaker 7: integrity of our democratic republic. There was a Moller investigation

348
00:18:39,880 --> 00:18:43,080
Speaker 7: that went on for years, cost taxpayers nearly forty million dollars.

349
00:18:43,280 --> 00:18:45,240
Speaker 2: There were two congressional impeachments.

350
00:18:45,480 --> 00:18:48,840
Speaker 7: President Trump and almost every member of his family were

351
00:18:48,880 --> 00:18:54,080
Speaker 7: smeared and attacked face lawsuits, depositions, high level officials were

352
00:18:54,080 --> 00:18:58,080
Speaker 7: Investigated's foundational to it all was the fact that we

353
00:18:58,280 --> 00:19:04,040
Speaker 7: had in President Obama and his leadership team, people who

354
00:19:04,080 --> 00:19:07,080
Speaker 7: did not want to accept the will of the American

355
00:19:07,119 --> 00:19:11,160
Speaker 7: people in electing Donald Trump in twenty sixteen, and therefore

356
00:19:11,320 --> 00:19:16,000
Speaker 7: cooked up this treasonous conspiracy to again try to effectively

357
00:19:16,080 --> 00:19:19,160
Speaker 7: and they did effectively launch a year's long coup against

358
00:19:19,200 --> 00:19:20,879
Speaker 7: the sitting president of the United States.

359
00:19:21,080 --> 00:19:23,560
Speaker 4: I didn't see the interview with her. Where did where

360
00:19:23,560 --> 00:19:25,000
Speaker 4: did she come up with new information?

361
00:19:28,000 --> 00:19:31,320
Speaker 5: I just think it's continuing to dig after months of

362
00:19:31,359 --> 00:19:35,040
Speaker 5: investigation into this matter. She says, Yeah, Trump's only been

363
00:19:35,080 --> 00:19:37,280
Speaker 5: president for six months and there's been no way to

364
00:19:37,320 --> 00:19:38,160
Speaker 5: look into it.

365
00:19:39,960 --> 00:19:41,520
Speaker 2: A news since twenty twenty.

366
00:19:43,640 --> 00:19:47,800
Speaker 5: I'm scanning her statement real quickly. The long and short

367
00:19:47,800 --> 00:19:52,760
Speaker 5: of what she says is that there is overwhelming evidence

368
00:19:52,840 --> 00:19:55,639
Speaker 5: that demonstrates how, after Trump won the twenty sixteen election

369
00:19:55,680 --> 00:19:59,080
Speaker 5: against Hillary Clinton, president Obama is national security Cabinet members

370
00:19:59,119 --> 00:20:02,720
Speaker 5: manufactured and politicized intelligence to lay the groundwork for what

371
00:20:02,840 --> 00:20:06,240
Speaker 5: was essentially a year's long coup against the president.

372
00:20:06,440 --> 00:20:08,080
Speaker 2: And she goes into a fair amount of detail.

373
00:20:08,119 --> 00:20:10,159
Speaker 4: Now, I'm pretty jaded on this sort of stuff, and

374
00:20:10,200 --> 00:20:13,120
Speaker 4: I come by it honestly. I think in that, for instance,

375
00:20:13,160 --> 00:20:16,199
Speaker 4: the whole Russia hoax, all kinds of people, including my

376
00:20:16,320 --> 00:20:20,919
Speaker 4: current Senator Adam Schiff, claimed all kinds of crap for

377
00:20:21,119 --> 00:20:24,920
Speaker 4: years that they just did not have and have paid

378
00:20:25,000 --> 00:20:27,000
Speaker 4: no price for not having it. Then you got James

379
00:20:27,000 --> 00:20:29,879
Speaker 4: Comer on the Republican side claiming all kinds of crap

380
00:20:29,920 --> 00:20:31,760
Speaker 4: that he apparently has not had in a couple of

381
00:20:31,760 --> 00:20:33,600
Speaker 4: different things recently.

382
00:20:34,119 --> 00:20:35,040
Speaker 2: And I don't have a.

383
00:20:35,000 --> 00:20:37,280
Speaker 4: Lot of faith in Tulci Gabbard. I do have a

384
00:20:37,280 --> 00:20:40,480
Speaker 4: fair amount of faith in Matt Taiebe, though he is

385
00:20:40,920 --> 00:20:46,520
Speaker 4: the leading non right wing journalist on being upset about

386
00:20:46,520 --> 00:20:47,320
Speaker 4: the Russia hoax.

387
00:20:47,600 --> 00:20:48,479
Speaker 2: He hates Trump.

388
00:20:49,280 --> 00:20:54,320
Speaker 4: He's lefty if he's anything, but he hates being lied

389
00:20:54,359 --> 00:20:56,320
Speaker 4: to by the government more than anything else. And he

390
00:20:56,359 --> 00:20:59,560
Speaker 4: has believed the whole Russia thing was nonsense from the beginning.

391
00:21:00,160 --> 00:21:02,399
Speaker 4: Has been writing about this for the Rolling Stone and others,

392
00:21:02,400 --> 00:21:04,160
Speaker 4: and I guess now he's a substack guy.

393
00:21:04,480 --> 00:21:05,960
Speaker 2: This is what he tweeted out today.

394
00:21:06,000 --> 00:21:10,360
Speaker 4: Though Barack Obama now squarely in the Russia gate crosshairs,

395
00:21:10,440 --> 00:21:14,680
Speaker 4: Former President Obama is now the center square of the investigation,

396
00:21:14,760 --> 00:21:20,440
Speaker 4: and documents suggested legacy, maybe even his freedom are in jeopardy, right, iibi.

397
00:21:21,960 --> 00:21:25,120
Speaker 4: I mean, according to the documents that are out that's

398
00:21:25,160 --> 00:21:28,240
Speaker 4: a hell of a thing to say. Here's a very

399
00:21:28,280 --> 00:21:33,399
Speaker 4: basic fact outline that is the spine of this whole thing. So,

400
00:21:36,000 --> 00:21:39,160
Speaker 4: in the months leading up to the November twenty sixteen election,

401
00:21:39,240 --> 00:21:42,959
Speaker 4: the intelligence community consistently assessed that Russia is probably not

402
00:21:43,000 --> 00:21:46,600
Speaker 4: trying to influence the elect the election by using cyber means.

403
00:21:47,320 --> 00:21:50,160
Speaker 4: And in December of twenty sixteen, after the election, after

404
00:21:50,200 --> 00:21:52,639
Speaker 4: the election, talking points were prepared for d n I

405
00:21:52,800 --> 00:21:57,320
Speaker 4: James Clapper stating quote, foreign adversaries did not use cyber

406
00:21:57,320 --> 00:22:00,600
Speaker 4: attechs a cyber attacks on election infrastructure to alter the

407
00:22:00,720 --> 00:22:05,159
Speaker 4: US presidential election outcome. On December ninth, twenty sixteen, President

408
00:22:05,240 --> 00:22:08,760
Speaker 4: Obama's White House gathered top National Security Council of principles

409
00:22:09,080 --> 00:22:11,520
Speaker 4: for a meeting that included Clapper and Brennan and Rice

410
00:22:11,560 --> 00:22:14,879
Speaker 4: and Carry, etc. After the meeting, D and I, Clapper's

411
00:22:14,880 --> 00:22:20,240
Speaker 4: executive assistant, sent an email to intelligence community leaders tasking

412
00:22:20,240 --> 00:22:24,920
Speaker 4: them with creating a new IC assessment per the president's request.

413
00:22:25,280 --> 00:22:29,680
Speaker 4: That's a quote that details quote the tools Moscow used

414
00:22:29,680 --> 00:22:32,959
Speaker 4: in actions it took to influence the twenty sixteen election.

415
00:22:33,640 --> 00:22:35,560
Speaker 4: It went on to say, oh, D and I will

416
00:22:35,640 --> 00:22:41,400
Speaker 4: lead this effort with participation from the various agencies. There's

417
00:22:42,840 --> 00:22:48,439
Speaker 4: a problem there, and various folks have called Tulsey Gabbard

418
00:22:48,480 --> 00:22:51,120
Speaker 4: on it. I don't want to prejudge because, like Matt Taibi,

419
00:22:51,920 --> 00:22:55,439
Speaker 4: I agree it was so dirty and deliberate and so

420
00:22:55,520 --> 00:22:57,919
Speaker 4: many people were in on it. Whether it crossed the

421
00:22:57,920 --> 00:23:02,480
Speaker 4: bounds into lawlessness, I don't know, but it's worth pursuing.

422
00:23:02,960 --> 00:23:08,920
Speaker 4: But the first statement was about Russia is not trying

423
00:23:08,920 --> 00:23:12,119
Speaker 4: to influence the election by using cyber means literally hacking

424
00:23:12,160 --> 00:23:16,200
Speaker 4: into the systems. And then the second thing at Obama's

425
00:23:16,240 --> 00:23:19,720
Speaker 4: request is tools Moscow used in actions it took to

426
00:23:19,840 --> 00:23:22,639
Speaker 4: influence the twenty sixteen election. Those are two different questions,

427
00:23:23,880 --> 00:23:27,960
Speaker 4: and so is this just sloppy is it equivocating the

428
00:23:28,000 --> 00:23:28,480
Speaker 4: two things.

429
00:23:28,520 --> 00:23:29,080
Speaker 2: I don't know.

430
00:23:31,520 --> 00:23:35,160
Speaker 5: I'll tell you this, I am absolutely unwilling to say.

431
00:23:35,200 --> 00:23:38,920
Speaker 5: Look at Telsey Gabbard, those two things are different. She's

432
00:23:38,960 --> 00:23:41,679
Speaker 5: a crackpot. Never mind. I mean, because it was so

433
00:23:41,960 --> 00:23:45,840
Speaker 5: dirty and deliberate and unfair and probably illegal.

434
00:23:46,080 --> 00:23:49,440
Speaker 4: Well, certainly, the faking up of the PAISA warrants over

435
00:23:49,480 --> 00:23:52,920
Speaker 4: and over again in the ways we've discussed through the years.

436
00:23:52,720 --> 00:23:53,840
Speaker 2: That was despicable.

437
00:23:54,359 --> 00:23:59,080
Speaker 4: Yeah, and uh, you know, it's the same crowd that

438
00:24:00,200 --> 00:24:04,920
Speaker 4: went out of their way to present Hunter's laptop as

439
00:24:06,080 --> 00:24:09,600
Speaker 4: a ridiculous story when they knew it was a real story.

440
00:24:09,920 --> 00:24:11,879
Speaker 4: They run knew it was real. So it's the same

441
00:24:11,960 --> 00:24:16,080
Speaker 4: people doing the same things in the same direction. Does

442
00:24:16,119 --> 00:24:18,040
Speaker 4: it really stretch the credulity that.

443
00:24:18,080 --> 00:24:21,240
Speaker 5: Much to think Obama was in on those conversations or

444
00:24:21,280 --> 00:24:23,520
Speaker 5: even you know, ran it. And if it wasn't Obama,

445
00:24:23,560 --> 00:24:26,080
Speaker 5: that's fine. I don't have Obama obsession syndrome. Now, it

446
00:24:26,119 --> 00:24:29,159
Speaker 5: doesn't whether it go to him at all. All the

447
00:24:29,200 --> 00:24:31,320
Speaker 5: other people, if they did it on their own, need

448
00:24:31,359 --> 00:24:32,360
Speaker 5: to pay a price.

449
00:24:33,119 --> 00:24:34,400
Speaker 2: Right, Yeah, I would agree.

450
00:24:35,320 --> 00:24:37,680
Speaker 4: I just have always assumed with Obama mostly. I mean,

451
00:24:37,720 --> 00:24:40,200
Speaker 4: this is not like a charitable view of him. Really,

452
00:24:40,240 --> 00:24:42,679
Speaker 4: it's just a just always have thought he's just so

453
00:24:42,840 --> 00:24:44,720
Speaker 4: into himself, and he was at the end of a

454
00:24:44,760 --> 00:24:48,560
Speaker 4: two term presidency, Like I just can't imagine him caring enough.

455
00:24:50,359 --> 00:24:53,080
Speaker 4: We've got a couple of Matt taiv quote clips here,

456
00:24:53,160 --> 00:24:57,200
Speaker 4: Sure said talking to Bill Hemmer on Fox News go

457
00:24:57,240 --> 00:24:59,920
Speaker 4: ahead with forty seven. Michael, Well, why wasn't there more

458
00:25:00,119 --> 00:25:04,800
Speaker 4: urgency on this and Trump one point zero as there

459
00:25:04,840 --> 00:25:05,280
Speaker 4: is now?

460
00:25:05,520 --> 00:25:06,480
Speaker 2: Yeah, that's a complaint.

461
00:25:06,520 --> 00:25:09,040
Speaker 9: I heard a lot over the weekend from people who

462
00:25:09,080 --> 00:25:14,600
Speaker 9: have been following this, and even for former officials who

463
00:25:14,640 --> 00:25:17,639
Speaker 9: are close to Trump. There one of them said to me,

464
00:25:18,040 --> 00:25:20,800
Speaker 9: a former high ranking Trump officials said there was quote

465
00:25:20,840 --> 00:25:25,919
Speaker 9: so much corruption in the last Trump presidency that this

466
00:25:25,960 --> 00:25:29,879
Speaker 9: shouldn't have been overlooked, that these documents should have come out. Absolutely,

467
00:25:30,280 --> 00:25:32,840
Speaker 9: But the overall sense I get is that everyone's happy

468
00:25:32,880 --> 00:25:36,199
Speaker 9: that they finally are coming out, and they're looking forward

469
00:25:36,240 --> 00:25:38,160
Speaker 9: to what is likely to come out this week.

470
00:25:38,760 --> 00:25:42,199
Speaker 4: Matt Taibe is a guy, as a lefty, he has

471
00:25:42,280 --> 00:25:46,720
Speaker 4: been one of the people screaming, hey, liberals, we're the

472
00:25:46,760 --> 00:25:50,280
Speaker 4: people that are supposed to be like really worried about

473
00:25:50,320 --> 00:25:53,760
Speaker 4: the CIA and the NSA and the FBI. We're the

474
00:25:53,800 --> 00:25:58,119
Speaker 4: ones that's our lane to think that the FBI is

475
00:25:58,160 --> 00:26:00,800
Speaker 4: somebody we should be scared of, and they all cooked

476
00:26:00,800 --> 00:26:03,600
Speaker 4: something up to take down a presidency. Shouldn't we as

477
00:26:03,760 --> 00:26:05,199
Speaker 4: liberals be worried about this?

478
00:26:06,000 --> 00:26:06,160
Speaker 2: Yeah?

479
00:26:06,200 --> 00:26:09,120
Speaker 5: A lot of what motivates him as personal disgust that, Yeah,

480
00:26:09,240 --> 00:26:13,320
Speaker 5: the lefty media started lionizing Clapper and call me and

481
00:26:13,359 --> 00:26:17,240
Speaker 5: all these people the minute they were opposing Trump. And

482
00:26:17,280 --> 00:26:19,560
Speaker 5: he's like, wait a minute, these are the spooks and

483
00:26:19,600 --> 00:26:23,200
Speaker 5: the guys who ignore the Constitution and the Fourth Amendment

484
00:26:23,240 --> 00:26:26,320
Speaker 5: means nothing to them with their legal searches, and.

485
00:26:26,000 --> 00:26:29,320
Speaker 2: Now they're your buddies, left the America and cooked up

486
00:26:29,400 --> 00:26:33,399
Speaker 2: the Iraq war. In his mind, right, here's another Tayebee clip.

487
00:26:34,720 --> 00:26:36,919
Speaker 4: Is the allegation they were trying to influence our election

488
00:26:37,200 --> 00:26:39,760
Speaker 4: or or is the allegation that they actually changed votes?

489
00:26:40,280 --> 00:26:41,800
Speaker 2: I think we need to be clear on that. What

490
00:26:41,840 --> 00:26:43,920
Speaker 2: can we say? So it's both.

491
00:26:44,880 --> 00:26:47,000
Speaker 9: The Democrats are making a lot of hay over this

492
00:26:47,119 --> 00:26:50,840
Speaker 9: apples and oranges issue that there was never any question

493
00:26:51,200 --> 00:26:55,760
Speaker 9: they didn't actually change vote tallies, but they did influence

494
00:26:55,800 --> 00:26:59,040
Speaker 9: the election. Actually, there was some question about whether they

495
00:26:59,080 --> 00:27:01,760
Speaker 9: had the ability to to influence the election. There were

496
00:27:01,800 --> 00:27:05,520
Speaker 9: quotes earlier from that from that year with the FBI

497
00:27:05,600 --> 00:27:08,359
Speaker 9: saying they didn't have any evidence that they had done so,

498
00:27:08,520 --> 00:27:11,560
Speaker 9: and they were uncomfortable making that statement. There there were

499
00:27:11,600 --> 00:27:16,480
Speaker 9: also quotes saying that they lacked evidence that Russia had

500
00:27:16,520 --> 00:27:19,600
Speaker 9: the ability to out to impact the outcome of the election.

501
00:27:20,040 --> 00:27:22,760
Speaker 9: So all of this would have been passed on to

502
00:27:23,359 --> 00:27:27,960
Speaker 9: somebody like Michael Flynn because presidents elect are entitled to

503
00:27:28,000 --> 00:27:31,080
Speaker 9: receive the Presidential Daily Briefing. That's why this is important.

504
00:27:31,119 --> 00:27:34,000
Speaker 9: It's not so much what the PDB did say, it's

505
00:27:34,040 --> 00:27:35,879
Speaker 9: what it didn't say. It didn't say that there was

506
00:27:35,920 --> 00:27:39,440
Speaker 9: a sweeping conspiracy to help Trump, and if they had that,

507
00:27:39,640 --> 00:27:42,000
Speaker 9: it would have been a very different political.

508
00:27:41,600 --> 00:27:44,959
Speaker 5: Picture going for Okay, I got to admit my overall

509
00:27:45,000 --> 00:27:46,920
Speaker 5: sense of this is it's going to be really hard

510
00:27:47,000 --> 00:27:50,879
Speaker 5: to nail down. There are just too many slippery facts

511
00:27:51,800 --> 00:27:56,119
Speaker 5: and plausible deniability encounters and the rest of it. I

512
00:27:56,160 --> 00:27:57,879
Speaker 5: think it's well worth looking into because it was a

513
00:27:57,920 --> 00:27:59,280
Speaker 5: disgusting chapter.

514
00:27:59,119 --> 00:28:03,720
Speaker 4: From people who for a living do slippery things that

515
00:28:03,760 --> 00:28:08,600
Speaker 4: are hard to nail down in other countries. So so, yeah,

516
00:28:08,680 --> 00:28:12,359
Speaker 4: and one counterfactual or alternate history that will never be

517
00:28:12,440 --> 00:28:16,840
Speaker 4: able to witness in reality is if Trump hadn't been

518
00:28:17,040 --> 00:28:22,000
Speaker 4: beset by that whole Russian collusion hoax his whole first term,

519
00:28:22,240 --> 00:28:26,119
Speaker 4: how would that have changed his actions policies? Is just

520
00:28:26,560 --> 00:28:31,959
Speaker 4: is his demeanor everything all right? And the first impeachment

521
00:28:32,080 --> 00:28:34,600
Speaker 4: probably wouldn't have happened, and then the second way. I mean,

522
00:28:34,640 --> 00:28:36,159
Speaker 4: you don't know if January six you don't know if

523
00:28:36,200 --> 00:28:39,280
Speaker 4: he'd have won. So yeah, it's hard to say how

524
00:28:39,440 --> 00:28:41,200
Speaker 4: it affected things well.

525
00:28:41,120 --> 00:28:44,240
Speaker 5: Right, And even having lost. The whole January sixth thing

526
00:28:44,560 --> 00:28:49,400
Speaker 5: was I think, to some extent Trump refusing to stand

527
00:28:49,480 --> 00:28:52,160
Speaker 5: up for the so called institutions of our society in

528
00:28:52,240 --> 00:28:54,280
Speaker 5: a way that I would have appreciated on that day

529
00:28:54,640 --> 00:28:58,440
Speaker 5: because he was so disgusted with how dishonest they had

530
00:28:58,480 --> 00:29:01,760
Speaker 5: been about him and his administration for a very long time.

531
00:29:01,800 --> 00:29:03,800
Speaker 5: I'm not excusing it, but I think I understand it.

532
00:29:03,840 --> 00:29:07,080
Speaker 4: With nobody paying a price at all, exactly, you want

533
00:29:07,080 --> 00:29:09,840
Speaker 4: to be a billionaire, work ninety hours a week, among

534
00:29:09,840 --> 00:29:18,520
Speaker 4: other things to tell you coming up, stay here, The

535
00:29:19,520 --> 00:29:24,240
Speaker 4: kiss cam coldplay story continues to entertain people with new information.

536
00:29:24,720 --> 00:29:28,800
Speaker 4: The guy had to quit. They're both insanely wealthy, we'll

537
00:29:28,800 --> 00:29:32,080
Speaker 4: get into that in hour three. And what Coldplay is

538
00:29:32,080 --> 00:29:36,000
Speaker 4: saying in their concerts now all entertaining. So Elon Musk

539
00:29:36,960 --> 00:29:39,560
Speaker 4: tweeted this out on his old platform over the weekend,

540
00:29:39,560 --> 00:29:42,360
Speaker 4: which I thought was interesting. All it said was, at

541
00:29:42,440 --> 00:29:47,080
Speaker 4: times AI existential dread is overwhelming. Well, I thought that

542
00:29:47,160 --> 00:29:49,520
Speaker 4: from a guy who's building one of the top AI

543
00:29:49,680 --> 00:29:51,880
Speaker 4: machines in the world and knows more about it than

544
00:29:51,880 --> 00:29:52,840
Speaker 4: the average human.

545
00:29:53,120 --> 00:29:54,360
Speaker 2: I find that a little scary.

546
00:29:55,720 --> 00:29:58,680
Speaker 5: Oh yeah, I've got a great chat GPT story in

547
00:29:58,720 --> 00:30:02,720
Speaker 5: which it has chat gpt is admitted I failed.

548
00:30:03,520 --> 00:30:05,800
Speaker 4: But on a different topic from Elon Musk, he did

549
00:30:05,840 --> 00:30:09,000
Speaker 4: an interview over the weekend with uh look like it was,

550
00:30:11,120 --> 00:30:14,080
Speaker 4: which one is it? Axios Politico one of them anyway,

551
00:30:14,640 --> 00:30:20,200
Speaker 4: talked about how much he's working now SpaceX and Tesla,

552
00:30:20,400 --> 00:30:22,440
Speaker 4: and he said he's back to He had tweeted out

553
00:30:22,440 --> 00:30:24,840
Speaker 4: he's back to working seven days a week and sleeping

554
00:30:24,880 --> 00:30:26,640
Speaker 4: in his office whenever his kids are away.

555
00:30:27,200 --> 00:30:27,880
Speaker 2: I don't know whatever.

556
00:30:27,960 --> 00:30:30,600
Speaker 4: Whenever his kids away means when you have fourteen kids,

557
00:30:30,720 --> 00:30:34,040
Speaker 4: different women, different places, but working seven days a week,

558
00:30:34,240 --> 00:30:38,040
Speaker 4: And his quote was from the interview was seven days

559
00:30:38,080 --> 00:30:41,200
Speaker 4: a week, sleeping in the factory. No one should put

560
00:30:41,240 --> 00:30:43,479
Speaker 4: this many hours into work. This is not good, This

561
00:30:43,520 --> 00:30:47,160
Speaker 4: is painful. It hurts my brain, it hurts my heart.

562
00:30:48,080 --> 00:30:51,280
Speaker 4: That's an interesting thing to say. It hurts your brain

563
00:30:51,320 --> 00:30:53,480
Speaker 4: and it's hurts your heart, and nobody should do this,

564
00:30:53,760 --> 00:30:54,880
Speaker 4: but you're doing it.

565
00:30:55,240 --> 00:30:55,600
Speaker 2: Okay.

566
00:30:55,640 --> 00:30:58,840
Speaker 4: I'm not exactly sure what that means, which leads me

567
00:30:58,920 --> 00:31:02,520
Speaker 4: to this a different billionaire who I'd never heard of.

568
00:31:06,840 --> 00:31:11,160
Speaker 4: How did Lucy Guo Guo? I don't speak Chinese. Would

569
00:31:11,160 --> 00:31:13,280
Speaker 4: you pronounce that goo go? I'm gonna say go.

570
00:31:13,320 --> 00:31:13,719
Speaker 2: I don't know.

571
00:31:13,760 --> 00:31:16,640
Speaker 4: How did Lucy go to throwing throne Taylor Swift as

572
00:31:16,680 --> 00:31:20,600
Speaker 4: the youngest self made female billionaire in the world. Act

573
00:31:20,640 --> 00:31:22,880
Speaker 4: broke stay rich, she said, is one of her keys,

574
00:31:22,960 --> 00:31:27,000
Speaker 4: but she's thirty years old. Recently dethroning Taylor Swift as

575
00:31:27,040 --> 00:31:30,880
Speaker 4: the youngest self made billionaire on the planet. She did

576
00:31:30,920 --> 00:31:36,200
Speaker 4: it with an and some sort of AI data labeling startup.

577
00:31:36,200 --> 00:31:38,520
Speaker 4: I don't even understand what it was that she did,

578
00:31:38,800 --> 00:31:41,080
Speaker 4: but it's involving artificial intelligence.

579
00:31:41,080 --> 00:31:44,560
Speaker 2: See, you gotta label your data. Everybody knows that.

580
00:31:44,480 --> 00:31:47,160
Speaker 4: The quickest way to become a billionaire or have a

581
00:31:47,200 --> 00:31:49,719
Speaker 4: stock reach four trillion dollars or whatever is be involved

582
00:31:49,760 --> 00:31:53,080
Speaker 4: in AI in the modern world, that's for certain. Anyway,

583
00:31:53,240 --> 00:31:55,320
Speaker 4: this is the stuff I thought that was very interesting.

584
00:31:55,640 --> 00:31:57,720
Speaker 4: She started this when she was twenty one. She left

585
00:31:57,720 --> 00:31:59,360
Speaker 4: a couple of years later, but she still has enough

586
00:31:59,360 --> 00:32:01,600
Speaker 4: control in the comp that she became a billionaire at

587
00:32:01,640 --> 00:32:06,880
Speaker 4: age thirty. The coder turned founder still clocks ninety hour

588
00:32:06,960 --> 00:32:10,640
Speaker 4: work weeks with a schedule that starts at five thirty

589
00:32:10,680 --> 00:32:17,280
Speaker 4: am and ends at midnight every day. She credits her

590
00:32:17,440 --> 00:32:19,920
Speaker 4: no sleep DNA to her parents that she just doesn't

591
00:32:19,960 --> 00:32:22,880
Speaker 4: need much sleep. Her parents were Chinese immigrants who worked

592
00:32:22,880 --> 00:32:25,240
Speaker 4: as engineers in the San Francisco Bay area and instilled

593
00:32:25,320 --> 00:32:30,400
Speaker 4: under a strong work ethic, working every day from five

594
00:32:30,520 --> 00:32:31,720
Speaker 4: thirty am to midnight.

595
00:32:31,880 --> 00:32:34,680
Speaker 2: Kill me right.

596
00:32:35,160 --> 00:32:38,719
Speaker 4: The fast talking Trailblazer doesn't believe in wasting time. I

597
00:32:38,720 --> 00:32:41,080
Speaker 4: did like this part. She said, Well, I don't watch

598
00:32:41,120 --> 00:32:44,600
Speaker 4: TV or scroll TikTok, so that gives me many extra

599
00:32:44,680 --> 00:32:45,400
Speaker 4: hours a day.

600
00:32:46,240 --> 00:32:46,920
Speaker 2: That's true.

601
00:32:47,160 --> 00:32:49,760
Speaker 4: I mean, you also have to worry about going crazy

602
00:32:49,800 --> 00:32:52,920
Speaker 4: by never doing anything that's recreation. But if you eliminate

603
00:32:53,000 --> 00:32:55,080
Speaker 4: I mean, because there's certain stuff we all.

604
00:32:55,000 --> 00:32:57,400
Speaker 2: Should eliminate, it's just a waste of freaking time.

605
00:32:58,400 --> 00:32:59,840
Speaker 4: I mean, even if you feel like you need to,

606
00:33:00,320 --> 00:33:04,920
Speaker 4: there's better ways to rest than scrolling TikTok. Yeah, but

607
00:33:05,000 --> 00:33:06,840
Speaker 4: he said that gives me many extra hours in a day.

608
00:33:06,840 --> 00:33:08,800
Speaker 4: I'm constantly on the go, whereas a lot of people

609
00:33:08,840 --> 00:33:13,040
Speaker 4: building relaxation time, I do not. I do fill in

610
00:33:13,040 --> 00:33:16,040
Speaker 4: my schedule some stuff like at ten pm sometimes I'll

611
00:33:16,080 --> 00:33:19,640
Speaker 4: go to dinner with friends. We're not all built to

612
00:33:19,680 --> 00:33:21,040
Speaker 4: work ninety hour weeks.

613
00:33:22,000 --> 00:33:23,760
Speaker 2: She cost me at ten pm, Hey you want to

614
00:33:23,760 --> 00:33:24,320
Speaker 2: grab a bike?

615
00:33:24,400 --> 00:33:27,520
Speaker 5: I'm like, what the hell I'm going to sleep, I'm

616
00:33:27,520 --> 00:33:28,880
Speaker 5: getting bum in bed.

617
00:33:31,560 --> 00:33:33,200
Speaker 4: I only answered the phone because I thought you were

618
00:33:33,240 --> 00:33:38,600
Speaker 4: at a car wreck or something. You want to go eat.

619
00:33:38,840 --> 00:33:40,880
Speaker 2: So two things on this that struck me.

620
00:33:42,640 --> 00:33:47,920
Speaker 4: One, I don't want to go counter to the narrative

621
00:33:48,040 --> 00:33:50,760
Speaker 4: that you know to a certain extent, if you can

622
00:33:50,840 --> 00:33:51,760
Speaker 4: dream it, you can do it.

623
00:33:51,840 --> 00:33:53,880
Speaker 2: I mean, you can be successful just like anyone else,

624
00:33:53,920 --> 00:33:54,680
Speaker 2: which is true.

625
00:33:54,840 --> 00:33:58,280
Speaker 4: But a lot of like pro athletes or tech billionaires

626
00:33:58,360 --> 00:34:01,200
Speaker 4: or whatever, are just built diferently than you are or

627
00:34:01,240 --> 00:34:01,560
Speaker 4: I am.

628
00:34:01,800 --> 00:34:02,840
Speaker 2: They're just built differently.

629
00:34:02,960 --> 00:34:06,080
Speaker 4: Their minds work differently, or their bodies work differently, and

630
00:34:06,120 --> 00:34:09,040
Speaker 4: it's just good for them or bad for them or whatever.

631
00:34:09,160 --> 00:34:11,919
Speaker 4: But I'm not built to work ninety hours a week,

632
00:34:12,480 --> 00:34:14,680
Speaker 4: all day long without doing anything else. I'd go crazy.

633
00:34:14,719 --> 00:34:18,440
Speaker 4: I don't want to do that. And you know, I'm

634
00:34:18,440 --> 00:34:23,320
Speaker 4: not built to be insanely competitive about one particular tiny

635
00:34:23,360 --> 00:34:26,800
Speaker 4: aspect of the world, like a specific sport or a

636
00:34:26,880 --> 00:34:30,479
Speaker 4: music instrument or something like that. I'm just not Also, though,

637
00:34:30,520 --> 00:34:34,120
Speaker 4: the other side of it is the whole. Why do

638
00:34:34,400 --> 00:34:36,880
Speaker 4: some immigrants come to this country and think, Wow, what

639
00:34:36,920 --> 00:34:39,160
Speaker 4: an opportunity. If I work my ass off, I can

640
00:34:39,200 --> 00:34:41,840
Speaker 4: become wealthy in this country. And some people come to

641
00:34:41,880 --> 00:34:43,440
Speaker 4: this country, or some people who are born in this

642
00:34:43,560 --> 00:34:46,320
Speaker 4: country with the idea that I'm not rich already having

643
00:34:46,360 --> 00:34:49,000
Speaker 4: done nothing, and I'm going to blame others in the

644
00:34:49,040 --> 00:34:53,680
Speaker 4: government and riot in the streets to get mine.

645
00:34:53,800 --> 00:34:59,080
Speaker 2: What is that parenting school? I think a lot of

646
00:34:59,120 --> 00:35:02,239
Speaker 2: it's probably chinnet the attitude.

647
00:35:02,320 --> 00:35:05,320
Speaker 4: No, the attitude's not genetics, the attitude of I'm not

648
00:35:05,520 --> 00:35:06,920
Speaker 4: rich yet, it's somebody else's fault.

649
00:35:06,920 --> 00:35:11,120
Speaker 5: I don't think it's genetics. No, probably not, although I

650
00:35:11,520 --> 00:35:15,240
Speaker 5: don't know. It's a complicated question. We have no time.

651
00:35:15,719 --> 00:35:17,880
Speaker 5: But yeah, I think a lot of it's upbringing our culture.

652
00:35:18,000 --> 00:35:20,920
Speaker 5: I mean, you have cultures for instance, communist cultures where

653
00:35:21,160 --> 00:35:23,960
Speaker 5: being a go getter didn't do you any good, Kissing

654
00:35:24,040 --> 00:35:26,319
Speaker 5: the ass of the authorities and scamming the system did

655
00:35:26,360 --> 00:35:26,719
Speaker 5: you good.

656
00:35:26,719 --> 00:35:28,400
Speaker 2: So yeah, becomes part of your.

657
00:35:28,440 --> 00:35:30,439
Speaker 4: Well if you grow up surrounded by parents and say

658
00:35:30,440 --> 00:35:32,200
Speaker 4: this is a country where you can get wealthy, or

659
00:35:32,480 --> 00:35:34,160
Speaker 4: you grew up with parents saying this is a country

660
00:35:34,160 --> 00:35:35,399
Speaker 4: where you're being screwed.

661
00:35:35,080 --> 00:35:37,760
Speaker 2: By the rich. Those are two very different. Then sure,

662
00:35:37,960 --> 00:35:39,080
Speaker 2: Armstrong and Getty