1
00:00:00,240 --> 00:00:02,360
Speaker 1: Hey, guys, thanks for listening to Breaking Points with Crystal

2
00:00:02,360 --> 00:00:04,280
Speaker 1: and Sager. We're going to be totally upfront with you.

3
00:00:04,400 --> 00:00:07,200
Speaker 1: We took a big risk going independent to make this work.

4
00:00:07,320 --> 00:00:11,920
Speaker 1: We need your support to beat the corporate media CNN, Fox, MSNBC.

5
00:00:12,240 --> 00:00:15,800
Speaker 1: They are ripping this country apart. They are making millions

6
00:00:15,800 --> 00:00:18,400
Speaker 1: of dollars doing it to help support our mission of

7
00:00:18,440 --> 00:00:20,720
Speaker 1: making all of us hate each other, less hate the

8
00:00:20,760 --> 00:00:24,000
Speaker 1: corrupt ruling class more support the show. Become a Breaking

9
00:00:24,040 --> 00:00:26,560
Speaker 1: Points Premium Member today, where you get to watch and

10
00:00:26,680 --> 00:00:29,640
Speaker 1: listen to the entire show ad free and uncut, an

11
00:00:29,680 --> 00:00:32,479
Speaker 1: hour early before everyone else. You get to hear our

12
00:00:32,479 --> 00:00:35,360
Speaker 1: reactions to each other's monologues. You get to participate and

13
00:00:35,400 --> 00:00:37,960
Speaker 1: weekly ask me any things, and you don't need to

14
00:00:38,000 --> 00:00:41,080
Speaker 1: hear our annoying voices pitching you like I am right now?

15
00:00:41,159 --> 00:00:43,320
Speaker 1: So what are you waiting for? Go to Breakingpoints dot

16
00:00:43,360 --> 00:00:46,120
Speaker 1: com become a Premium member today, which is available in

17
00:00:46,159 --> 00:01:04,000
Speaker 1: the show notes. Enjoy the show, guys, Good morning, everybody,

18
00:01:04,000 --> 00:01:06,720
Speaker 1: Happy Thursday. We have an amazing show for everybody today.

19
00:01:06,760 --> 00:01:08,480
Speaker 1: What do we have, Crystal? Indeed, we do a lot's

20
00:01:08,480 --> 00:01:09,840
Speaker 1: of great stories to get to so we have some

21
00:01:09,920 --> 00:01:13,520
Speaker 1: new polling that reveals just how many people really are

22
00:01:13,560 --> 00:01:17,080
Speaker 1: prioritizing education is an issue right now. And even out

23
00:01:17,080 --> 00:01:19,640
Speaker 1: of those bucket of people who care a lot about education,

24
00:01:19,760 --> 00:01:21,720
Speaker 1: what are their top priorities? You might be a little

25
00:01:21,720 --> 00:01:25,679
Speaker 1: bit surprised based on recent media narratives. We also have

26
00:01:26,080 --> 00:01:30,520
Speaker 1: an update on Adam Schiff for once being asked a

27
00:01:30,560 --> 00:01:34,080
Speaker 1: little bit of a tough question on Russia Gate. See

28
00:01:34,120 --> 00:01:38,880
Speaker 1: how he responds to that. Interesting developments on the Republican side,

29
00:01:38,920 --> 00:01:42,880
Speaker 1: those thirteen Republicans who voted for the Biden bipartisan infrastructure

30
00:01:42,920 --> 00:01:47,319
Speaker 1: deal now being effectively excommunicated from the party torn a

31
00:01:47,360 --> 00:01:50,320
Speaker 1: new one by President Trump. So lots of details there,

32
00:01:50,440 --> 00:01:53,800
Speaker 1: big shakeups happening at MSNBC. Some of their top stars

33
00:01:53,800 --> 00:01:57,160
Speaker 1: seem pretty unhappy. Moving on all of those details to

34
00:01:57,480 --> 00:02:01,880
Speaker 1: groundbreaking new study from the folks over at Jacobin actually

35
00:02:01,960 --> 00:02:05,480
Speaker 1: talking to working class people and in a very innovative

36
00:02:06,400 --> 00:02:10,000
Speaker 1: it's sort of a poll analysis, focus group combo. They

37
00:02:10,040 --> 00:02:14,880
Speaker 1: actually looked at what messaging is most effective for building

38
00:02:14,880 --> 00:02:18,519
Speaker 1: that multiracial working class coalition. They did it by geography,

39
00:02:18,639 --> 00:02:20,760
Speaker 1: they did it by income level. Pretty fastenaing stuff that

40
00:02:20,760 --> 00:02:22,360
Speaker 1: we're going to dig into there, but we wanted to

41
00:02:22,360 --> 00:02:26,320
Speaker 1: start with some stunning new numbers with regards to inflation. Yeah,

42
00:02:26,320 --> 00:02:28,079
Speaker 1: so let's go ahead and put this up there on

43
00:02:28,120 --> 00:02:30,200
Speaker 1: the screen. We got the inflation numbers out as the

44
00:02:30,280 --> 00:02:34,000
Speaker 1: highest number since the nineteen nineties. But it's important to

45
00:02:34,000 --> 00:02:36,520
Speaker 1: see where Americans are seeing the most inflation, So please

46
00:02:36,600 --> 00:02:38,839
Speaker 1: keep this up there for a little bit. Number one

47
00:02:39,000 --> 00:02:42,240
Speaker 1: is fuel oil at sixty percent year over year increase

48
00:02:42,600 --> 00:02:46,440
Speaker 1: gas predominantly, they're fifty percent, utilities at twenty eight percent,

49
00:02:46,800 --> 00:02:51,240
Speaker 1: use cars still coming in at twenty six percent, hotels, steaks, bacon,

50
00:02:51,280 --> 00:02:53,520
Speaker 1: and pork chops. This is the same thing. We're seeing

51
00:02:53,520 --> 00:02:55,760
Speaker 1: a large increase in the protein supply chain, and we're

52
00:02:55,760 --> 00:02:59,720
Speaker 1: going to continue to track that. Washing machines at fifteen percent,

53
00:02:59,800 --> 00:03:04,360
Speaker 1: for furniture, twelve eggs, fish TVs, new cars, chicken, milk, coffee, flour,

54
00:03:04,480 --> 00:03:08,560
Speaker 1: rent so basically gas, food, the stuff they used to

55
00:03:08,560 --> 00:03:12,160
Speaker 1: heat your car, all of the things that people generally need.

56
00:03:12,280 --> 00:03:15,760
Speaker 1: And this is really, I mean terrible card. It's it's very, very,

57
00:03:15,919 --> 00:03:17,920
Speaker 1: very bad, and because what it is is that it

58
00:03:18,000 --> 00:03:21,400
Speaker 1: hits the working class Americans the hardest, and really, what

59
00:03:21,520 --> 00:03:23,840
Speaker 1: you know breaks and should break everybody's heart is that

60
00:03:23,919 --> 00:03:27,840
Speaker 1: even though we have seen some hourly increase in wages,

61
00:03:27,919 --> 00:03:30,360
Speaker 1: and you know we're talking about the Great Resignation and

62
00:03:30,400 --> 00:03:32,880
Speaker 1: all of that, if we include inflation in that, let's

63
00:03:32,880 --> 00:03:35,520
Speaker 1: put this up there on the screen. After adjusting for

64
00:03:35,600 --> 00:03:40,200
Speaker 1: today's numbers, average hourly wages actually fell one point two

65
00:03:40,240 --> 00:03:43,800
Speaker 1: percent from October of twenty twenty to October twenty twenty one.

66
00:03:44,120 --> 00:03:46,920
Speaker 1: The change in the real average hourly earnings combined with

67
00:03:46,920 --> 00:03:49,880
Speaker 1: a decrease in the average work week resulted in a

68
00:03:50,000 --> 00:03:54,360
Speaker 1: one point six percent decline in real average weekly earnings.

69
00:03:54,400 --> 00:03:57,160
Speaker 1: And so of course that means that people are actually making,

70
00:03:57,240 --> 00:04:00,680
Speaker 1: on an adjusted basis, less money and they're paying more

71
00:04:00,760 --> 00:04:04,040
Speaker 1: for good. So that's a tragedy, Crystal. And look, I mean,

72
00:04:04,160 --> 00:04:06,480
Speaker 1: there's a lot to be said about why exactly all

73
00:04:06,480 --> 00:04:08,600
Speaker 1: of this is happening. But it is not just the

74
00:04:08,680 --> 00:04:12,200
Speaker 1: United States, it's Europe, it's China. They're rolling blackouts all

75
00:04:12,200 --> 00:04:15,760
Speaker 1: across China. The entire world is just suffering from a

76
00:04:15,880 --> 00:04:20,599
Speaker 1: massive supply crunch and with just wonky changes in demand. Essentially,

77
00:04:20,640 --> 00:04:23,239
Speaker 1: what happened is everyone was shut down for eighteen months

78
00:04:23,279 --> 00:04:26,400
Speaker 1: and then people saved a lot of money. Household savings

79
00:04:26,520 --> 00:04:28,640
Speaker 1: is an all time high. Now we have the Christmas

80
00:04:28,680 --> 00:04:31,919
Speaker 1: season upon US boom. Forty percent of retail sales actually

81
00:04:31,960 --> 00:04:34,560
Speaker 1: happened in these two months. You combine that with the

82
00:04:34,600 --> 00:04:37,440
Speaker 1: supply chain that's backed up all the way and all

83
00:04:37,480 --> 00:04:40,799
Speaker 1: of these crazy shortages that we're seeing in the inputs

84
00:04:40,839 --> 00:04:46,080
Speaker 1: for food, inputs for the supply chain, inputs for further containers,

85
00:04:46,320 --> 00:04:49,560
Speaker 1: and you have a horrific disaster like this, And once again,

86
00:04:49,880 --> 00:04:53,280
Speaker 1: Joe Biden nowhere to be seen. Yesterday. The only thing

87
00:04:53,279 --> 00:04:55,680
Speaker 1: that I heard him, notably say was did you ever

88
00:04:55,720 --> 00:04:59,560
Speaker 1: think you'd pay this much for gas? And I was like, yeah, no, Actually,

89
00:05:00,040 --> 00:05:03,120
Speaker 1: maybe you should do something about it. Yeah. I mean

90
00:05:03,160 --> 00:05:06,520
Speaker 1: what's interesting is if you go down that list, you

91
00:05:06,560 --> 00:05:09,960
Speaker 1: can tell a sort of unique story about each one

92
00:05:10,000 --> 00:05:12,400
Speaker 1: of these items. Yeah, we've done it, and you've done

93
00:05:12,440 --> 00:05:14,440
Speaker 1: a really good job digging into some of those things.

94
00:05:14,480 --> 00:05:17,240
Speaker 1: I mean, part of why a lot of protein. And

95
00:05:17,279 --> 00:05:19,480
Speaker 1: we can put Heather Longs tweet up on the screen

96
00:05:19,520 --> 00:05:23,719
Speaker 1: here that indicates in particular why Americans are paying higher

97
00:05:23,760 --> 00:05:26,240
Speaker 1: grocery bills. A lot of it has to do with protein.

98
00:05:26,320 --> 00:05:29,359
Speaker 1: Your steaks, steak and pork chops, eggs, fish, chicken, so

99
00:05:29,640 --> 00:05:32,880
Speaker 1: a lot of those things can be traced back in

100
00:05:33,040 --> 00:05:36,800
Speaker 1: part to the fact that you had drought caused by

101
00:05:36,800 --> 00:05:40,360
Speaker 1: climate change. It created stress in the corn market. All

102
00:05:40,400 --> 00:05:43,480
Speaker 1: of these animals, for better or worse, are fed with corn,

103
00:05:43,880 --> 00:05:46,839
Speaker 1: so you can sort of tell a unique story with

104
00:05:46,960 --> 00:05:49,600
Speaker 1: each one of these things. Of course, the used cars,

105
00:05:49,920 --> 00:05:52,560
Speaker 1: we've been tracking that for a long time. We've talked

106
00:05:52,600 --> 00:05:55,880
Speaker 1: about housing now rent prices are really starting to go up.

107
00:05:55,920 --> 00:05:58,760
Speaker 1: There are unique reasons for that as well. But a

108
00:05:58,800 --> 00:06:01,440
Speaker 1: lot of these things can be trace back to a

109
00:06:01,480 --> 00:06:07,080
Speaker 1: few factors. Number One, that we make need China so much,

110
00:06:07,240 --> 00:06:09,640
Speaker 1: that we've outsourced so much to China. We're starting pettan

111
00:06:09,720 --> 00:06:12,800
Speaker 1: on that last year, so the minute that there's an

112
00:06:12,920 --> 00:06:15,800
Speaker 1: issue getting things out of China and there aren't enough

113
00:06:15,800 --> 00:06:18,520
Speaker 1: shipping containers, and that was part of the stories. The

114
00:06:18,520 --> 00:06:20,800
Speaker 1: shipping containers at the beginning of the pandemic went out

115
00:06:20,800 --> 00:06:24,000
Speaker 1: from China with the PPP all ppe all over the world.

116
00:06:24,279 --> 00:06:27,040
Speaker 1: They got stuck imports around the world. That created it,

117
00:06:27,120 --> 00:06:28,880
Speaker 1: and then when they got sent back that created a

118
00:06:28,920 --> 00:06:31,599
Speaker 1: backlog on the other end. So part of it is

119
00:06:31,640 --> 00:06:34,640
Speaker 1: that we've outsourced so much to China critical goods that

120
00:06:34,680 --> 00:06:37,560
Speaker 1: people need that families depend on all of those things.

121
00:06:38,080 --> 00:06:41,159
Speaker 1: Part of it is that we have these gigantic monopolies

122
00:06:41,640 --> 00:06:47,080
Speaker 1: in charge of almost every economic sphere has massive consolidation

123
00:06:47,320 --> 00:06:51,359
Speaker 1: at this point. To make that point, just to zero

124
00:06:51,480 --> 00:06:54,719
Speaker 1: in on one particular issue where monopolies are causing a

125
00:06:54,720 --> 00:06:58,080
Speaker 1: lot of the price increases. Here when you talk about steak,

126
00:06:58,120 --> 00:07:01,600
Speaker 1: when you talk about beef, there has been massive consolidation

127
00:07:02,120 --> 00:07:06,839
Speaker 1: in the meat processing industry and that has created issues

128
00:07:06,880 --> 00:07:10,000
Speaker 1: and increased prices. Our friends over at more Perfect Union

129
00:07:10,120 --> 00:07:12,120
Speaker 1: did a great job breaking that down. Let's take a

130
00:07:12,160 --> 00:07:14,280
Speaker 1: look at that now. If you've been to your local

131
00:07:14,360 --> 00:07:17,720
Speaker 1: meat section lately, you may have noticed rising prices of

132
00:07:17,800 --> 00:07:21,200
Speaker 1: beef and cork with it's sticker shock at every stop.

133
00:07:21,440 --> 00:07:24,760
Speaker 1: And I stake to grill ranges from thirteen to over

134
00:07:24,840 --> 00:07:27,600
Speaker 1: twenty four dollars a pound these days. So it did

135
00:07:27,640 --> 00:07:31,360
Speaker 1: go up three dollars in three days, which absolutely shocked me.

136
00:07:47,720 --> 00:07:50,560
Speaker 1: It's hard for me to watch the American consumer have

137
00:07:50,680 --> 00:07:54,960
Speaker 1: to pay increased prices if the meat counter, because I

138
00:07:55,040 --> 00:07:57,960
Speaker 1: know that those returns are not coming back to the

139
00:07:58,000 --> 00:08:00,600
Speaker 1: men and women like me that raise the cow. The

140
00:08:00,600 --> 00:08:04,520
Speaker 1: prices of beef have been rising significantly. I have not

141
00:08:04,720 --> 00:08:21,080
Speaker 1: directly saw any of that. In my return, this monopoly

142
00:08:21,160 --> 00:08:24,960
Speaker 1: hurts consumers because currently consumers are paying inflated prices for

143
00:08:25,040 --> 00:08:28,040
Speaker 1: beef at the same time that cattle producers are receiving

144
00:08:28,120 --> 00:08:31,480
Speaker 1: severely depressed prices, and in the middle, of course, the

145
00:08:31,520 --> 00:08:44,720
Speaker 1: middleman is walking away with windfall profits. Right of course,

146
00:08:44,760 --> 00:08:47,000
Speaker 1: the other problem with monopoly is the way that workers

147
00:08:47,040 --> 00:08:49,240
Speaker 1: are treated and the few choices they have. Meat hashing

148
00:08:49,520 --> 00:08:52,240
Speaker 1: the meat packing industry was one of the most horrific

149
00:08:52,320 --> 00:08:55,560
Speaker 1: examples of workers not being taken care of getting sick

150
00:08:55,920 --> 00:08:58,760
Speaker 1: during COVID unprotect being forced to go to work sick.

151
00:08:58,840 --> 00:09:00,840
Speaker 1: All of the are incentivized to go to work sick.

152
00:09:00,880 --> 00:09:04,160
Speaker 1: I should say all of those things. But again, when

153
00:09:04,240 --> 00:09:07,680
Speaker 1: you dig into each one of these specific goods that

154
00:09:07,720 --> 00:09:10,240
Speaker 1: you've seen so much of a price increase in, you

155
00:09:10,280 --> 00:09:14,240
Speaker 1: can track back all of these different supply unique supply

156
00:09:14,320 --> 00:09:16,400
Speaker 1: chain issues. But a lot of times it comes back

157
00:09:16,440 --> 00:09:20,600
Speaker 1: to outsourcing to China and monopolization. It's monopolization. It's also

158
00:09:20,720 --> 00:09:23,640
Speaker 1: you know, the climate is another issue. You know with beef,

159
00:09:23,720 --> 00:09:26,640
Speaker 1: we had the worst Montana drought in twenty twenty one,

160
00:09:26,760 --> 00:09:29,320
Speaker 1: and the only one worse than that was twenty twenty. Well,

161
00:09:29,559 --> 00:09:31,520
Speaker 1: you have a one third reduction in the amount of

162
00:09:31,559 --> 00:09:34,400
Speaker 1: cattle that are being able to feed properly. What happens,

163
00:09:34,400 --> 00:09:36,880
Speaker 1: You're going to see increased price at the grocery store.

164
00:09:36,920 --> 00:09:39,200
Speaker 1: You know, the same thing is true in terms of

165
00:09:39,240 --> 00:09:43,120
Speaker 1: consumer spending on meat. It's actually up eighty four billion

166
00:09:43,200 --> 00:09:46,959
Speaker 1: dollars in the last year over twenty nineteen. Why because

167
00:09:47,000 --> 00:09:49,439
Speaker 1: people are cooking a lot more at home, which means

168
00:09:49,480 --> 00:09:53,000
Speaker 1: that the demand for consumer beef is sky high as

169
00:09:53,000 --> 00:09:55,960
Speaker 1: opposed to people were eating at restaurants or whatever. People's

170
00:09:56,000 --> 00:09:57,839
Speaker 1: a lot of people's consumption habits changed, and it's not

171
00:09:57,880 --> 00:09:59,880
Speaker 1: a problem. But really what it is is that you

172
00:10:00,080 --> 00:10:03,720
Speaker 1: combine an increase in demand for a variety of reasons,

173
00:10:04,000 --> 00:10:08,040
Speaker 1: and then you cap that with a massive supply crunch.

174
00:10:08,440 --> 00:10:11,559
Speaker 1: Then you stack monopolies on top of that. That's how

175
00:10:11,559 --> 00:10:14,440
Speaker 1: you pay twenty five percent more Costco for steak, which

176
00:10:14,559 --> 00:10:16,680
Speaker 1: if you've been in the Costco meat section lately, it

177
00:10:16,760 --> 00:10:19,560
Speaker 1: is a total disaster. Iye popping numbers and it's just

178
00:10:19,640 --> 00:10:22,880
Speaker 1: very important. I think what we try to focus here

179
00:10:22,920 --> 00:10:26,320
Speaker 1: on the show is there's no convenient explanation for why

180
00:10:26,320 --> 00:10:29,079
Speaker 1: this is. For people who say that it's US government spending.

181
00:10:29,200 --> 00:10:32,440
Speaker 1: Then why is Europe, China and the entire underdeveloped world

182
00:10:32,559 --> 00:10:36,080
Speaker 1: also experiencing double digit inflation. For those who say that

183
00:10:36,120 --> 00:10:38,760
Speaker 1: it's not a problem whatsoever, that's ridiculous. People are paying

184
00:10:38,960 --> 00:10:41,000
Speaker 1: more for stuff. Every single one of these has a

185
00:10:41,040 --> 00:10:44,839
Speaker 1: nuanced explanation. Gas. I recently went through that Opek, the

186
00:10:44,880 --> 00:10:49,680
Speaker 1: strategic reserve, there's natural gas exports. Heating is the same thing.

187
00:10:50,080 --> 00:10:52,840
Speaker 1: Use cars is a semiconductor problem. That's why new car

188
00:10:53,160 --> 00:10:55,880
Speaker 1: isn't up hotels. I mean that one is kind of intuitive,

189
00:10:55,960 --> 00:10:57,960
Speaker 1: which is you don't go anywhere for a long time.

190
00:10:58,080 --> 00:11:00,559
Speaker 1: Now you want to go somewhere, you're chasing the same price.

191
00:11:00,800 --> 00:11:04,120
Speaker 1: I mean, rental cars is another one. Right, you know,

192
00:11:04,120 --> 00:11:06,640
Speaker 1: I have severe depression than you're coming out of it

193
00:11:06,679 --> 00:11:08,320
Speaker 1: in a way you kind of want to see that.

194
00:11:08,400 --> 00:11:10,000
Speaker 1: But listen, I don't want to diminish it. It's a

195
00:11:10,080 --> 00:11:11,640
Speaker 1: huge problem for a lot of people at home, and

196
00:11:11,720 --> 00:11:13,959
Speaker 1: a lot of people are suffering, and they should be angry.

197
00:11:14,000 --> 00:11:16,240
Speaker 1: I mean, I do not think the Biden administration is

198
00:11:16,280 --> 00:11:18,800
Speaker 1: doing enough about this. Biden should not be joking about

199
00:11:18,840 --> 00:11:21,120
Speaker 1: did you ever think you'd be pay enough for gas? Like,

200
00:11:21,240 --> 00:11:24,480
Speaker 1: as I've said, hit the tap the strategic reserve now,

201
00:11:24,520 --> 00:11:27,760
Speaker 1: and there's a lot of other import export things that

202
00:11:27,760 --> 00:11:30,000
Speaker 1: we've been doing. I didn't know this, Crystal, but a

203
00:11:30,000 --> 00:11:33,920
Speaker 1: lot of our domestic oil is also being exported abroad

204
00:11:34,240 --> 00:11:36,760
Speaker 1: for the same reason as natural gas, which is that

205
00:11:36,800 --> 00:11:41,280
Speaker 1: demand to sky high worldwide, and so our domestic producers

206
00:11:41,480 --> 00:11:44,520
Speaker 1: are shipping out a lot of this energy while not

207
00:11:44,600 --> 00:11:48,000
Speaker 1: prioritizing domestic consumers. So there's a lot that goes into it,

208
00:11:48,000 --> 00:11:50,199
Speaker 1: and I would ask everybody to keep that in mind. Yeah,

209
00:11:50,240 --> 00:11:54,439
Speaker 1: there's this idea that our energy industry like what energy

210
00:11:54,480 --> 00:11:56,600
Speaker 1: is yet like that that's ours? Yeah, but it just

211
00:11:56,600 --> 00:11:59,080
Speaker 1: goes into the global commodity market. I mean, it doesn't

212
00:11:59,120 --> 00:12:02,680
Speaker 1: really work like that. Yeah, it's frustrating when you see

213
00:12:02,720 --> 00:12:06,880
Speaker 1: things like this that people are truly feeling and truly

214
00:12:07,000 --> 00:12:09,559
Speaker 1: struggling with, to the point that all of the games

215
00:12:09,559 --> 00:12:12,800
Speaker 1: that we've talked about for workers have been taken away

216
00:12:13,240 --> 00:12:17,000
Speaker 1: and their wages actually year over year decline. It's frustrating

217
00:12:17,000 --> 00:12:20,079
Speaker 1: when you see something like that just fed into total

218
00:12:20,480 --> 00:12:23,720
Speaker 1: tribal partisan lenses. Yeah, that's the problem. So conservatives are

219
00:12:23,760 --> 00:12:28,160
Speaker 1: loving to talk about inflation, but their answer, their explanation

220
00:12:28,280 --> 00:12:31,120
Speaker 1: is that the Biden administration did too much, and they're like,

221
00:12:31,160 --> 00:12:35,240
Speaker 1: that's why we should cut spending an inducer recession. I'm like, yeah, yeah,

222
00:12:35,320 --> 00:12:37,800
Speaker 1: when the real problem, as you've been laying out, is

223
00:12:37,840 --> 00:12:41,079
Speaker 1: that the Biden administration needs to do more to actually

224
00:12:41,160 --> 00:12:44,120
Speaker 1: effectively try to deal with these issues. And look, something's

225
00:12:44,280 --> 00:12:46,960
Speaker 1: you know, there's no magic wand and you can't control everything,

226
00:12:47,000 --> 00:12:49,560
Speaker 1: but there is more that they could be doing. And

227
00:12:49,600 --> 00:12:53,480
Speaker 1: then you see liberals making this case like actually, inflation's good.

228
00:12:53,720 --> 00:12:56,520
Speaker 1: I promise you we're not going to talk about this

229
00:12:56,559 --> 00:12:59,320
Speaker 1: because this is uncomfortable. This is obviously something that is

230
00:12:59,360 --> 00:13:03,200
Speaker 1: dramatically we're about to talk about the elections that happened

231
00:13:03,240 --> 00:13:06,000
Speaker 1: in Virginia and New Jersey. Like, you'd be a lot more,

232
00:13:06,240 --> 00:13:08,600
Speaker 1: you would spend your time a lot more wisely getting

233
00:13:08,600 --> 00:13:12,200
Speaker 1: a handle on this and speaking of consumers concerns, regular

234
00:13:12,240 --> 00:13:15,280
Speaker 1: people's concerns about prices going up than you would, you know,

235
00:13:15,559 --> 00:13:18,240
Speaker 1: fixating all day every day about whatever's going on with

236
00:13:18,360 --> 00:13:21,360
Speaker 1: the race in school. Yes, I could not agree with

237
00:13:21,400 --> 00:13:23,440
Speaker 1: you more. It is sunning to me, honestly, the way

238
00:13:23,480 --> 00:13:25,640
Speaker 1: I see the media disconnect on all of this. I

239
00:13:25,679 --> 00:13:28,280
Speaker 1: think it was yesterday when the inflation numbers came out.

240
00:13:28,320 --> 00:13:30,600
Speaker 1: The only people covering it were Fox. Why do you

241
00:13:30,640 --> 00:13:35,640
Speaker 1: think MSNBC? I kid you not was talking about January

242
00:13:35,800 --> 00:13:38,839
Speaker 1: six subpoenas. There are like a new round of subpoenas

243
00:13:38,880 --> 00:13:41,480
Speaker 1: has gone out January sixth, going on with I don't

244
00:13:41,800 --> 00:13:44,680
Speaker 1: I don't care, I don't know, and I don't care.

245
00:13:44,840 --> 00:13:47,640
Speaker 1: Does it affect you or me whenever you go to costco, No,

246
00:13:47,960 --> 00:13:50,760
Speaker 1: so therefore push it out. I mean, I just can't

247
00:13:50,760 --> 00:13:53,440
Speaker 1: believe whenever it comes to the way that these people

248
00:13:53,520 --> 00:13:56,319
Speaker 1: conduct themselves and are really doing a disservice in my opinion,

249
00:13:56,520 --> 00:13:58,960
Speaker 1: to the entire nation, which is trying to gaslight people

250
00:13:58,960 --> 00:14:02,120
Speaker 1: in the thinking inflation is okay, is insane. Trying to

251
00:14:02,200 --> 00:14:05,600
Speaker 1: also gaslight people into saying that this is some like

252
00:14:05,880 --> 00:14:09,720
Speaker 1: a pure you know, a pure downstream effect of government

253
00:14:09,760 --> 00:14:13,440
Speaker 1: spending is also completely ridiculous. If you see a global

254
00:14:13,480 --> 00:14:18,880
Speaker 1: phenomenon worldwide, this is almost entirely a phenomenal. It's almost

255
00:14:19,040 --> 00:14:22,920
Speaker 1: entirely a product of crazy conditions from the pandemic which

256
00:14:22,920 --> 00:14:26,680
Speaker 1: have caused different ways that people consume in an explosion

257
00:14:26,680 --> 00:14:31,200
Speaker 1: of consumer demand combined with the worst supply crisis since

258
00:14:31,280 --> 00:14:34,360
Speaker 1: World War Two. I mean, you put those two things together,

259
00:14:34,680 --> 00:14:36,520
Speaker 1: what do you think is going to happen? So I

260
00:14:36,560 --> 00:14:38,800
Speaker 1: really do wish people would at least spend some more

261
00:14:38,840 --> 00:14:41,840
Speaker 1: time trying to explain exactly what's going on here, because

262
00:14:42,040 --> 00:14:44,920
Speaker 1: the partisan explanations are just you know, too cute. I

263
00:14:44,960 --> 00:14:47,000
Speaker 1: have too, Yeah, and they're just everybody's just supplying their

264
00:14:47,040 --> 00:14:49,440
Speaker 1: priors and not exactly looking into what's You're not really

265
00:14:49,480 --> 00:14:51,160
Speaker 1: looking into what's going on. And if you do that,

266
00:14:51,280 --> 00:14:52,640
Speaker 1: like I said, I was making a joke, but I

267
00:14:52,640 --> 00:14:54,280
Speaker 1: do actually think this is what's going to happen. I

268
00:14:54,280 --> 00:14:56,480
Speaker 1: think the GOP is going to win on inflation. They're

269
00:14:56,480 --> 00:14:58,640
Speaker 1: going to try and raise interest rates, then they're gonna

270
00:14:58,640 --> 00:15:01,480
Speaker 1: cut spending, then they're gonna induce to recession, and then

271
00:15:01,520 --> 00:15:04,280
Speaker 1: they'll solve inflation, and then we get to live this

272
00:15:04,400 --> 00:15:08,000
Speaker 1: whole cycle all over again. Yes, indeed, all right, So

273
00:15:08,240 --> 00:15:12,000
Speaker 1: let's transition to the conversation about schools. There's a new

274
00:15:12,000 --> 00:15:15,000
Speaker 1: polling that I think is really interesting to dig into.

275
00:15:15,080 --> 00:15:16,840
Speaker 1: We can throw this tear sheet up on the screen.

276
00:15:17,200 --> 00:15:21,400
Speaker 1: This is from Yahoo News. So when you ask voters

277
00:15:21,680 --> 00:15:25,600
Speaker 1: what their top issue is, even if you're just talking

278
00:15:25,640 --> 00:15:29,800
Speaker 1: about parents, only five percent when they're thinking about the

279
00:15:29,840 --> 00:15:35,280
Speaker 1: midterms say that schools are their top issue. Overall, only

280
00:15:35,440 --> 00:15:40,400
Speaker 1: three percent of Americans say that schools are their top issue. Sager,

281
00:15:40,520 --> 00:15:43,280
Speaker 1: I will give you one guess what Americans say is

282
00:15:43,320 --> 00:15:46,760
Speaker 1: their number one issue by far? What is it? It's

283
00:15:46,800 --> 00:15:51,040
Speaker 1: the economy, low and behold, it's still the economy, stupid

284
00:15:51,400 --> 00:15:55,600
Speaker 1: thirty one percent, So ten times more people say that

285
00:15:55,680 --> 00:15:59,360
Speaker 1: the economy is their number one issue. The next highest

286
00:15:59,600 --> 00:16:04,480
Speaker 1: is healthcare. Also makes sense. Thirteen percent say healthcare, ten

287
00:16:04,520 --> 00:16:09,400
Speaker 1: percent say climate change, ten percent also say coronavirus nine percent, immigration,

288
00:16:09,880 --> 00:16:13,160
Speaker 1: eight percent, balance changing the balance of power in Washington.

289
00:16:13,640 --> 00:16:20,280
Speaker 1: All of these things more important to more Americans than schools. Again,

290
00:16:20,360 --> 00:16:24,000
Speaker 1: three percent say schools. What also is interesting is even

291
00:16:24,040 --> 00:16:27,200
Speaker 1: if you dig into that number, that three percent, Okay,

292
00:16:27,200 --> 00:16:31,840
Speaker 1: you're concerned about schools, What are your concerns? The largest

293
00:16:32,240 --> 00:16:37,240
Speaker 1: concern is eighteen percent say lack of funding for education

294
00:16:38,160 --> 00:16:41,880
Speaker 1: is their primary issue. The next one is low pay

295
00:16:42,120 --> 00:16:45,200
Speaker 1: for teachers. And then you start to get down to

296
00:16:45,240 --> 00:16:48,280
Speaker 1: things like the way race is taught about seven percent

297
00:16:48,600 --> 00:16:52,480
Speaker 1: and mask mandates five percent. Even if you look within

298
00:16:52,640 --> 00:16:55,640
Speaker 1: that seven percent that say what they're concerned about is

299
00:16:55,680 --> 00:16:59,600
Speaker 1: the way that race and racism are taught. You actually

300
00:16:59,600 --> 00:17:02,880
Speaker 1: find there are people who feel that there's not enough

301
00:17:02,960 --> 00:17:07,320
Speaker 1: discussion of the way that race has shaped America. So listen.

302
00:17:07,400 --> 00:17:10,280
Speaker 1: All of this is not to say that CRT and

303
00:17:10,359 --> 00:17:13,040
Speaker 1: the conversation about that doesn't have a lot of energy

304
00:17:13,080 --> 00:17:15,439
Speaker 1: around it, because I think it does. I think it

305
00:17:15,560 --> 00:17:20,679
Speaker 1: is definitely a motivating issue for the Republican base. But

306
00:17:21,400 --> 00:17:24,479
Speaker 1: I would caution those on the right and those on

307
00:17:24,520 --> 00:17:27,480
Speaker 1: the left who thought that the Virginia election was just

308
00:17:27,640 --> 00:17:30,280
Speaker 1: all about race and school to take a look at

309
00:17:30,280 --> 00:17:34,680
Speaker 1: these numbers and maybe reassess what voters are actually going

310
00:17:34,680 --> 00:17:36,520
Speaker 1: to the polls based on. And we said it at

311
00:17:36,520 --> 00:17:40,000
Speaker 1: the time, Look, seventy percent of the country he thinks

312
00:17:40,000 --> 00:17:42,960
Speaker 1: the country is on the wrong track. Joe Biden's approval

313
00:17:43,000 --> 00:17:46,640
Speaker 1: rating is somewhere in the high thirties or low forties.

314
00:17:46,760 --> 00:17:50,120
Speaker 1: That is really bad. Kamala Harrison's approval rating is even worse.

315
00:17:50,160 --> 00:17:54,320
Speaker 1: A If you just look at those numbers and you

316
00:17:54,359 --> 00:17:56,840
Speaker 1: look at the fact you've got a pluraldi people that

317
00:17:56,960 --> 00:18:00,119
Speaker 1: think that we are headed towards a recession. That's all

318
00:18:00,160 --> 00:18:03,240
Speaker 1: you need to know to understand why there is a

319
00:18:03,359 --> 00:18:05,440
Speaker 1: massive Republican way of brewing right now. I don't know

320
00:18:05,480 --> 00:18:07,320
Speaker 1: why this is so difficult for people to get. I mean,

321
00:18:07,359 --> 00:18:09,600
Speaker 1: and I actually I do, which is that it's hard

322
00:18:09,680 --> 00:18:12,400
Speaker 1: for the media and for people who work in professional

323
00:18:12,440 --> 00:18:16,639
Speaker 1: politics to just focus on the most basic levels of

324
00:18:16,760 --> 00:18:19,800
Speaker 1: inputs in people's lives. And this is exactly what we

325
00:18:19,840 --> 00:18:22,359
Speaker 1: try to do here on the show Small P Politics

326
00:18:22,440 --> 00:18:26,120
Speaker 1: versus Capital P Capital P critical race theory. There's a debate,

327
00:18:26,280 --> 00:18:29,960
Speaker 1: the media is involved. It's a very convenient narrative for everybody.

328
00:18:30,000 --> 00:18:32,400
Speaker 1: And once again, is it important and is it even

329
00:18:32,440 --> 00:18:37,159
Speaker 1: a motivating base factor for the Republicans? Absolutely? But why

330
00:18:37,200 --> 00:18:40,679
Speaker 1: did people who voted for Joe Biden vote for Glenn Youngkin?

331
00:18:41,040 --> 00:18:43,359
Speaker 1: Go and ask them what do they say, Crystal? I

332
00:18:43,440 --> 00:18:45,679
Speaker 1: was pissed off to the extent I cared about schools.

333
00:18:45,720 --> 00:18:47,600
Speaker 1: I was pissed off at my school was closed longer

334
00:18:47,600 --> 00:18:50,479
Speaker 1: than everybody else, and to stop is more expensive at

335
00:18:50,480 --> 00:18:53,080
Speaker 1: the grocery store. You said you would go back to normal,

336
00:18:53,160 --> 00:18:56,240
Speaker 1: and it's not normal. Why is that not enough of

337
00:18:56,280 --> 00:18:59,760
Speaker 1: an explanation. There's actually a million things Biden can and

338
00:18:59,760 --> 00:19:02,600
Speaker 1: show be doing if he wanted to be an effective president.

339
00:19:02,640 --> 00:19:05,600
Speaker 1: I mean, as I've said it a million times, focus

340
00:19:05,640 --> 00:19:09,120
Speaker 1: on the most basic level stuff. If you even had

341
00:19:09,160 --> 00:19:12,760
Speaker 1: the headlines on the strategic petroleum reserve trying to address

342
00:19:12,800 --> 00:19:15,760
Speaker 1: the gas prices, drag the Saudi King over here and

343
00:19:15,800 --> 00:19:17,639
Speaker 1: be like, hey, what are you doing? You need to

344
00:19:17,640 --> 00:19:21,119
Speaker 1: pump oil. Same whenever it comes to our import exports.

345
00:19:21,240 --> 00:19:23,840
Speaker 1: There are all kinds of near term factors which could

346
00:19:23,880 --> 00:19:26,480
Speaker 1: price that could change the price of oil by almost

347
00:19:26,560 --> 00:19:30,359
Speaker 1: ten to fifteen percent, not overnight necessarily, but within a month.

348
00:19:30,520 --> 00:19:33,040
Speaker 1: People would reward you for that. But you're not doing that,

349
00:19:33,119 --> 00:19:35,919
Speaker 1: and nobody knows what you're doing heating bills like we

350
00:19:35,920 --> 00:19:39,560
Speaker 1: were talking about. It's interesting. A man contacted me who

351
00:19:39,800 --> 00:19:42,320
Speaker 1: told me he lives in rural in the rural northeast.

352
00:19:42,359 --> 00:19:44,160
Speaker 1: I won't say where he lives. He had to pay

353
00:19:44,160 --> 00:19:47,000
Speaker 1: one hundred percent more in pro pain costs in order

354
00:19:47,080 --> 00:19:49,120
Speaker 1: to pay for his house. He said. It wiped out

355
00:19:49,359 --> 00:19:52,760
Speaker 1: one half of his entire winter budget. What do you

356
00:19:52,800 --> 00:19:55,359
Speaker 1: think is going on? This is not difficult, This are

357
00:19:55,440 --> 00:19:59,720
Speaker 1: simple problems. Actually, we have strategic reserves of pro pain

358
00:20:00,080 --> 00:20:03,680
Speaker 1: of heating oil, of oil all exactly for crisis reasons.

359
00:20:04,119 --> 00:20:07,320
Speaker 1: Convene the governors and say all right, let's get together.

360
00:20:07,480 --> 00:20:09,800
Speaker 1: Let's see how much oil we got, Let's disperse it

361
00:20:09,840 --> 00:20:12,720
Speaker 1: out properly. Let's drop the price. Same with the utilities.

362
00:20:12,720 --> 00:20:15,320
Speaker 1: Many utilities right now are asking it. I mean, I

363
00:20:15,359 --> 00:20:17,720
Speaker 1: can go on forever, but this is just very basic

364
00:20:18,080 --> 00:20:20,920
Speaker 1: level competent stuff which him and the White House are

365
00:20:20,960 --> 00:20:23,640
Speaker 1: not showing whatsoever. And if you did that, you would win.

366
00:20:23,680 --> 00:20:25,800
Speaker 1: It's actually not or maybe you would lose less. But

367
00:20:26,119 --> 00:20:29,040
Speaker 1: really what it is is that people feel, I think, rightfully,

368
00:20:29,080 --> 00:20:32,000
Speaker 1: as we covered on Tuesday, Joe Biden is not focused

369
00:20:32,000 --> 00:20:35,400
Speaker 1: on the issues that matter most to them, and these

370
00:20:35,440 --> 00:20:38,199
Speaker 1: are the issues that matter most to them. You've pointed out.

371
00:20:38,280 --> 00:20:40,720
Speaker 1: And I still can't believe this that PCR tests or

372
00:20:40,760 --> 00:20:43,520
Speaker 1: whatever are required for kids in schools, and that who's

373
00:20:43,560 --> 00:20:46,080
Speaker 1: covering the costs? This stuff is expensive. It's like one

374
00:20:46,160 --> 00:20:49,480
Speaker 1: hundred and fifty bucks a pop. I guarantee you if

375
00:20:49,480 --> 00:20:51,720
Speaker 1: you were to try and do some school testing program

376
00:20:51,720 --> 00:20:54,440
Speaker 1: and you made it all completely free, a lot of parents,

377
00:20:54,560 --> 00:20:56,800
Speaker 1: you know, speaking of schools, would say, hey, that's a

378
00:20:56,800 --> 00:20:59,320
Speaker 1: great thing. I mean, these I just keep talking about

379
00:20:59,359 --> 00:21:03,160
Speaker 1: the most base competent level stuff and instead people here

380
00:21:03,200 --> 00:21:06,240
Speaker 1: in DC want to focus on critical race theory or whatever,

381
00:21:06,280 --> 00:21:08,640
Speaker 1: because it would not necessitate them to be like, hmm,

382
00:21:08,960 --> 00:21:13,119
Speaker 1: can we change container stacking rules in Long Beach, California

383
00:21:13,240 --> 00:21:16,080
Speaker 1: in order to increase the number of ports that go

384
00:21:16,320 --> 00:21:18,760
Speaker 1: are the containers that go through by twenty five percent?

385
00:21:18,840 --> 00:21:20,520
Speaker 1: That's a real thing. By the way, how about we

386
00:21:21,000 --> 00:21:26,119
Speaker 1: stop making our truckers basically indentured servants so that you

387
00:21:26,160 --> 00:21:28,960
Speaker 1: could have enough truckers you would actually want to do

388
00:21:29,040 --> 00:21:31,560
Speaker 1: that job Trucker fund tomorrow. I mean, I could do that.

389
00:21:31,560 --> 00:21:34,280
Speaker 1: That's another issue that you know that I tracked as well,

390
00:21:34,359 --> 00:21:37,280
Speaker 1: Like they're literally some of these truckers at the end

391
00:21:37,359 --> 00:21:39,600
Speaker 1: of the week, they owe money. They don't make any money.

392
00:21:39,640 --> 00:21:42,600
Speaker 1: It's true indentured servitude. So yeah, you have a supply

393
00:21:42,760 --> 00:21:44,639
Speaker 1: of truckers, because who the hell would want to do

394
00:21:44,680 --> 00:21:48,720
Speaker 1: that job? Right? So yeah, I mean there are things

395
00:21:48,760 --> 00:21:51,040
Speaker 1: they could do to at least make people feel like

396
00:21:51,160 --> 00:21:55,159
Speaker 1: we're trying and listen for better or worse most of

397
00:21:55,200 --> 00:21:57,240
Speaker 1: the time worse. The Trump white House knew how to

398
00:21:57,280 --> 00:21:59,320
Speaker 1: drive a new cycle. Yeah, they knew how to make

399
00:21:59,320 --> 00:22:02,320
Speaker 1: the media talk about what they wanted them to talk about.

400
00:22:02,720 --> 00:22:06,879
Speaker 1: And the Biden white House is completely buffeted by the

401
00:22:06,920 --> 00:22:09,719
Speaker 1: wins of whatever's in the news. And they're unable to

402
00:22:09,720 --> 00:22:12,480
Speaker 1: take control of the narrative. They're unable to assert this

403
00:22:12,640 --> 00:22:16,480
Speaker 1: like we got it since and so it's a complete

404
00:22:16,480 --> 00:22:19,879
Speaker 1: and total mess, both from a perception point of view

405
00:22:19,920 --> 00:22:22,679
Speaker 1: and also from a reality point of view, you know,

406
00:22:22,960 --> 00:22:27,800
Speaker 1: on the race and schools conversation. First of all, there

407
00:22:27,880 --> 00:22:31,119
Speaker 1: is a true genuine issue with the academic left and

408
00:22:31,200 --> 00:22:34,439
Speaker 1: the like sort of woke racism that I tracked my

409
00:22:34,520 --> 00:22:37,280
Speaker 1: monologue on Tuesday. That is a real thing. Okay, it

410
00:22:37,359 --> 00:22:40,679
Speaker 1: is not by any means a majority thing among the

411
00:22:40,680 --> 00:22:44,280
Speaker 1: Democratic base or even among Democratic elites. And the idea

412
00:22:44,320 --> 00:22:46,879
Speaker 1: that Joe Biden is some like woke race warrior is

413
00:22:46,960 --> 00:22:51,080
Speaker 1: so absurd, it's really really tilly. I mean, it's just

414
00:22:51,160 --> 00:22:55,040
Speaker 1: like this dude is always five seconds from accidentally dropping

415
00:22:55,119 --> 00:22:58,159
Speaker 1: some sort of ethnic slur. Okay, that's more the issue

416
00:22:58,200 --> 00:23:03,399
Speaker 1: with Joe Biden. Ultimately, So even from that perspective, the

417
00:23:03,560 --> 00:23:08,240
Speaker 1: idea that that's really what's driving and motivating independence and

418
00:23:08,480 --> 00:23:12,280
Speaker 1: the broader American public, it just frankly feels really silly.

419
00:23:13,040 --> 00:23:16,240
Speaker 1: Now again, is it a base motivating issue? One hundred percent?

420
00:23:16,520 --> 00:23:20,360
Speaker 1: And that ultimately matters. It mattered I think in these

421
00:23:20,400 --> 00:23:23,080
Speaker 1: past elections, I think it matters for the midterms because

422
00:23:23,160 --> 00:23:27,360
Speaker 1: ultimately midterms is lower turnout overall, who's excited, who shows up.

423
00:23:27,880 --> 00:23:30,800
Speaker 1: We saw in Virginia and in New Jersey there was

424
00:23:30,960 --> 00:23:36,520
Speaker 1: huge surgeon rural areas. Youngkin did even better with rural

425
00:23:37,200 --> 00:23:39,760
Speaker 1: Virginians than Trump did, which is kind of, you know,

426
00:23:40,280 --> 00:23:42,680
Speaker 1: major major warning sign for Democrats who kind of thought

427
00:23:42,680 --> 00:23:45,160
Speaker 1: that they had hit bottom in terms of rural America.

428
00:23:45,240 --> 00:23:48,359
Speaker 1: Clearly they could do even worse. But it's important to

429
00:23:48,440 --> 00:23:52,439
Speaker 1: keep these things in perspective. And the most basic truism

430
00:23:52,560 --> 00:23:55,919
Speaker 1: still holds. The economy is the top issue. It is

431
00:23:55,960 --> 00:23:58,880
Speaker 1: not even close. And you found this Axios thing. Let's

432
00:23:58,880 --> 00:24:00,600
Speaker 1: put this up there on the screen, which is that

433
00:24:00,760 --> 00:24:04,480
Speaker 1: actually there is no true widespread COVID school backlash. It

434
00:24:04,600 --> 00:24:07,359
Speaker 1: is just in keeping with the concept I've been trying

435
00:24:07,400 --> 00:24:11,400
Speaker 1: to elucidate here, the dictatorship of the small minority, which

436
00:24:11,400 --> 00:24:13,320
Speaker 1: is that the people who do care and are pissed

437
00:24:13,320 --> 00:24:15,640
Speaker 1: off about schools, they care a lot, and they make

438
00:24:15,680 --> 00:24:18,479
Speaker 1: that their number one issue. Yep, yeah, they care a lot.

439
00:24:18,520 --> 00:24:21,159
Speaker 1: They're voting on it. This reminds me of like the

440
00:24:21,160 --> 00:24:24,560
Speaker 1: gun debate. Yes, because liberals and those on the left

441
00:24:24,600 --> 00:24:27,600
Speaker 1: would always point at like, look, these gun safety measures

442
00:24:27,640 --> 00:24:31,480
Speaker 1: are really popular, really really popular. That's true, but their

443
00:24:31,520 --> 00:24:34,800
Speaker 1: base doesn't vote on guns, but they don't care that much.

444
00:24:35,160 --> 00:24:36,679
Speaker 1: They don't care that much. It's not even close to

445
00:24:36,720 --> 00:24:40,359
Speaker 1: their top issue, Whereas there's a significant chunk of Conservatives

446
00:24:40,400 --> 00:24:43,120
Speaker 1: who are really into the Second Amendment, who actually do

447
00:24:43,280 --> 00:24:45,879
Speaker 1: vote on the issue. So you have to look not

448
00:24:46,240 --> 00:24:48,320
Speaker 1: just at, you know, what is the top issue, but

449
00:24:48,400 --> 00:24:53,679
Speaker 1: also what is uniquely motivating your base to vote, what

450
00:24:53,760 --> 00:24:56,560
Speaker 1: is uniquely motivating independence of vote, what is uniquely motivating

451
00:24:56,600 --> 00:24:59,240
Speaker 1: Republicans to vote, And so I think like the school

452
00:24:59,280 --> 00:25:02,560
Speaker 1: issues kind of fit into that framework. Is highly motivating

453
00:25:02,600 --> 00:25:04,840
Speaker 1: for the Republican base. But at the same time, the

454
00:25:04,880 --> 00:25:09,560
Speaker 1: Democrats aren't doing a thing to get their base excited

455
00:25:09,640 --> 00:25:12,360
Speaker 1: and give them a reason to go out and vote.

456
00:25:12,800 --> 00:25:15,879
Speaker 1: A lot of people are sort of like hoping and

457
00:25:15,960 --> 00:25:19,240
Speaker 1: wishing that maybe this you know, kind of lame infrastructure

458
00:25:19,280 --> 00:25:21,280
Speaker 1: deal that just passed, maybe that's going to be the

459
00:25:21,280 --> 00:25:23,520
Speaker 1: shot in the arm for Democrats. I wouldn't hold your

460
00:25:23,520 --> 00:25:28,080
Speaker 1: breath on that one. Well, that's a very good segue

461
00:25:28,080 --> 00:25:31,040
Speaker 1: to the infrastructure segment. This is something that has really

462
00:25:31,080 --> 00:25:33,639
Speaker 1: bothered me, which is that you know, there are thirteen

463
00:25:33,720 --> 00:25:36,720
Speaker 1: Republicans who voted for the infrastructure bill, and I'm not

464
00:25:36,720 --> 00:25:39,399
Speaker 1: saying I support the full thing, you know whatever, there's sure,

465
00:25:39,440 --> 00:25:44,040
Speaker 1: I'm sure there's provisions within their etc. But Republicans, and

466
00:25:44,080 --> 00:25:47,240
Speaker 1: specifically the Trump MAGA base, has turned this into some

467
00:25:47,760 --> 00:25:51,360
Speaker 1: betrayal by these people. I should note many of them

468
00:25:51,400 --> 00:25:56,120
Speaker 1: were from the industrial Northeast, where the infrastructure bill has

469
00:25:56,160 --> 00:26:00,679
Speaker 1: a seventy percent approval rating amongst Republicans. So many of

470
00:26:00,720 --> 00:26:03,760
Speaker 1: these people were actually representing not only the will of

471
00:26:03,800 --> 00:26:06,640
Speaker 1: their constituents on a broad base, the will of their

472
00:26:06,880 --> 00:26:09,720
Speaker 1: base constituents, especially if you live in New Jersey. I

473
00:26:09,760 --> 00:26:13,240
Speaker 1: was talking previously in in a previous show about how

474
00:26:13,280 --> 00:26:16,480
Speaker 1: popular the Amtrak New Jersey New York Tunnel is. Why

475
00:26:16,560 --> 00:26:19,760
Speaker 1: because if you've taken it, it sucks. Okay, So people

476
00:26:19,960 --> 00:26:22,840
Speaker 1: who have experienced that are like, yeah, I actually would

477
00:26:22,880 --> 00:26:25,280
Speaker 1: really like the government to fix that, and their representatives

478
00:26:25,440 --> 00:26:28,960
Speaker 1: acted accordingly. Well, now we are seeing more and more

479
00:26:29,240 --> 00:26:32,920
Speaker 1: that MAGA and Trump in particular are turning this as

480
00:26:32,960 --> 00:26:37,359
Speaker 1: to some grand betrayal by these Republicans. CNN had a

481
00:26:37,359 --> 00:26:39,520
Speaker 1: piece where they interviewed a congressman on this. Let's take

482
00:26:39,560 --> 00:26:43,000
Speaker 1: a listen, my decision of the leadership to win against this.

483
00:26:43,760 --> 00:26:46,240
Speaker 1: You know, I don't want to chritsize well that I'll

484
00:26:46,280 --> 00:26:48,359
Speaker 1: just say I don't. I wouldn't have done it. It It

485
00:26:48,440 --> 00:26:52,800
Speaker 1: shouldn't have been this toxic or this divisive. People should

486
00:26:52,800 --> 00:26:55,400
Speaker 1: be able to vote their conscience sign it. Yeah. Politically though,

487
00:26:55,400 --> 00:26:58,919
Speaker 1: I mean you're giving They may argue the Republican you're

488
00:26:58,960 --> 00:27:01,200
Speaker 1: giving the president a win when he's at a very

489
00:27:01,240 --> 00:27:03,680
Speaker 1: low point. What do you say to that, But to

490
00:27:03,760 --> 00:27:06,200
Speaker 1: vote against it because of that? I don't think that's right.

491
00:27:07,119 --> 00:27:08,439
Speaker 1: Was it good for the district? Was it good for

492
00:27:08,480 --> 00:27:11,160
Speaker 1: the country to vote on something just because it hurts

493
00:27:11,160 --> 00:27:14,080
Speaker 1: the president? It's not the right ones I think to

494
00:27:14,119 --> 00:27:16,040
Speaker 1: see this through. So I just tried to do the

495
00:27:16,080 --> 00:27:19,160
Speaker 1: right thing. And I think it's very popular in our district.

496
00:27:19,280 --> 00:27:21,640
Speaker 1: So how would I go back home to say, hey,

497
00:27:21,680 --> 00:27:23,200
Speaker 1: I know you all like it. It's good for the district,

498
00:27:23,280 --> 00:27:25,760
Speaker 1: but it's gonna hurt my opponent. That's not the right

499
00:27:25,800 --> 00:27:30,280
Speaker 1: thing to do. See I look, maybe I'm crazy. That's

500
00:27:30,280 --> 00:27:33,680
Speaker 1: actually pretty good rationale for voting for a bill. And

501
00:27:33,720 --> 00:27:35,480
Speaker 1: you know, I've gone back and forth with some people

502
00:27:35,600 --> 00:27:38,960
Speaker 1: on this, and increasingly there is this idea here that

503
00:27:39,040 --> 00:27:40,840
Speaker 1: you know, voting for this would be good for Joe Biden.

504
00:27:40,840 --> 00:27:42,119
Speaker 1: First of all, I don't even think that's true. I

505
00:27:42,119 --> 00:27:44,159
Speaker 1: don't think anybody at home gives a damn about this

506
00:27:44,200 --> 00:27:47,720
Speaker 1: infrastructure bill. But number two is the idea that any

507
00:27:47,760 --> 00:27:51,120
Speaker 1: government spending under a Democrat is illegitimate, or that any

508
00:27:51,200 --> 00:27:54,720
Speaker 1: vote for that is illegitimate. If so, congratulations, you just

509
00:27:54,760 --> 00:27:57,919
Speaker 1: reinvented the tea Party. I mean, okay, fine, but then

510
00:27:57,960 --> 00:28:00,520
Speaker 1: be honest about what you are. You just pure culture

511
00:28:00,560 --> 00:28:03,720
Speaker 1: warriors at heart, and Trump in particular is doing this too.

512
00:28:03,760 --> 00:28:05,320
Speaker 1: Let's put this up there on the screen. I mean,

513
00:28:05,760 --> 00:28:09,159
Speaker 1: unloading on the thirteen Republicans who voted for the infrastructure

514
00:28:09,200 --> 00:28:13,520
Speaker 1: bill for the sole reason that they were giving Joe

515
00:28:13,520 --> 00:28:16,880
Speaker 1: Biden a lift. I mean, that was the actual response

516
00:28:17,000 --> 00:28:19,480
Speaker 1: as to why it was bad for these Republicans to

517
00:28:19,560 --> 00:28:22,679
Speaker 1: vote for him. I remember this man and all of

518
00:28:22,680 --> 00:28:27,520
Speaker 1: the Republicans in this town complaining endlessly about, oh, the

519
00:28:27,640 --> 00:28:31,040
Speaker 1: Democrats won't support us even though they support this bill

520
00:28:31,200 --> 00:28:34,080
Speaker 1: or that bill, or oh the Democrats are voting against

521
00:28:34,119 --> 00:28:37,320
Speaker 1: us in there, partisanship over country. I mean, this is

522
00:28:37,320 --> 00:28:41,000
Speaker 1: the same thing you just reinvented. The entire hell cycle.

523
00:28:41,120 --> 00:28:43,400
Speaker 1: And if you are establishing a standard which Trump and

524
00:28:43,440 --> 00:28:45,760
Speaker 1: the Republicans have now have, which is that voting for

525
00:28:45,920 --> 00:28:49,400
Speaker 1: a bill which is popular amongst your constituents is bad

526
00:28:49,520 --> 00:28:52,880
Speaker 1: because it might and again might being the operative word,

527
00:28:53,080 --> 00:28:57,400
Speaker 1: give Biden a win, then you just basically eliminated any

528
00:28:57,640 --> 00:29:02,000
Speaker 1: chance of any bipartisan democker perceive whatsoever. Ever, So thank you,

529
00:29:02,200 --> 00:29:04,880
Speaker 1: I guess for saying the quiet part out loud. Yeah,

530
00:29:04,880 --> 00:29:06,840
Speaker 1: I mean, and really what it is They're like, Oh,

531
00:29:06,840 --> 00:29:09,680
Speaker 1: they're gonna nuke the philibuster. Yeah, I wonder why they

532
00:29:09,800 --> 00:29:12,680
Speaker 1: might want to do that. Like it's like, maybe if

533
00:29:12,720 --> 00:29:14,960
Speaker 1: you did show some good faith and vote across the

534
00:29:14,960 --> 00:29:18,760
Speaker 1: aisle on the legislation that your constituent support and you know,

535
00:29:18,800 --> 00:29:21,640
Speaker 1: you're just voting your conscience or whatever, well maybe we

536
00:29:21,680 --> 00:29:24,080
Speaker 1: would live in a better country. Maybe they wouldn't want

537
00:29:24,280 --> 00:29:26,400
Speaker 1: to nuke the filibuster. And I just have to say

538
00:29:26,440 --> 00:29:29,160
Speaker 1: this about Trump in particular. Put this on there because

539
00:29:29,160 --> 00:29:30,440
Speaker 1: I covered this at the time when I was a

540
00:29:30,440 --> 00:29:34,280
Speaker 1: White House correspondent, which is, he literally walked out of

541
00:29:34,280 --> 00:29:38,000
Speaker 1: a meeting where Nancy Pelosi and Chuck Schumer offered him

542
00:29:38,360 --> 00:29:43,480
Speaker 1: a two trillion dollar infrastructure Bill because they were investigating

543
00:29:43,520 --> 00:29:46,520
Speaker 1: him about Ukraine Gate, and he said at the time,

544
00:29:46,880 --> 00:29:50,720
Speaker 1: I will not deal with the Democrats on infrastructure while

545
00:29:50,760 --> 00:29:55,240
Speaker 1: they continue to investigate me. Okay, So that is what happened.

546
00:29:55,320 --> 00:29:58,360
Speaker 1: Whenever they actually did make a deal or tried to

547
00:29:58,400 --> 00:30:01,760
Speaker 1: make a deal on infrastruct Sure, this is what happened.

548
00:30:01,760 --> 00:30:03,920
Speaker 1: They kicked them out of the room over impeachment and

549
00:30:04,000 --> 00:30:06,080
Speaker 1: more so, you know what, you this is the bed

550
00:30:06,280 --> 00:30:09,360
Speaker 1: that you lay in. I just have no sympathy and

551
00:30:09,640 --> 00:30:13,120
Speaker 1: I just can't continue to think about how the standards

552
00:30:13,120 --> 00:30:16,160
Speaker 1: that are being set here are so hellish and terrible.

553
00:30:16,440 --> 00:30:19,200
Speaker 1: And also when you think about it, and next time

554
00:30:19,240 --> 00:30:22,240
Speaker 1: Republicans are in power, why would the Democrats come across

555
00:30:22,240 --> 00:30:26,360
Speaker 1: and support you and on anything? They complain over and

556
00:30:26,400 --> 00:30:28,360
Speaker 1: over again, and I see many Republicans say, oh, they

557
00:30:28,360 --> 00:30:30,840
Speaker 1: wouldn't do it anyway. Well, you know, somebody's got to

558
00:30:30,840 --> 00:30:33,400
Speaker 1: give first. Well, okay, But I mean what you're pointing

559
00:30:33,440 --> 00:30:36,080
Speaker 1: to is they did came off both sides this one

560
00:30:36,360 --> 00:30:39,920
Speaker 1: because they actually were willing to do something on infrastructure,

561
00:30:40,520 --> 00:30:42,800
Speaker 1: and you blew that deal up, right, I mean, I'm

562
00:30:42,880 --> 00:30:47,160
Speaker 1: over Ukraine isn't worth it? Right, exactly, wasn't worth it.

563
00:30:47,280 --> 00:30:50,720
Speaker 1: How many times do we have infrastructure week? Yeah, from

564
00:30:51,600 --> 00:30:56,480
Speaker 1: total joke. And that's why this is so stunning, because

565
00:30:56,720 --> 00:30:59,680
Speaker 1: it's so blatant. It's not something where they can say, oh, well,

566
00:30:59,680 --> 00:31:02,040
Speaker 1: we've not ever really supported that, or our version of

567
00:31:02,040 --> 00:31:06,400
Speaker 1: that is this infrastructure build up was negotiated is really

568
00:31:06,480 --> 00:31:10,280
Speaker 1: close to what Trump and the Republicans were negotiated. That's

569
00:31:10,280 --> 00:31:12,360
Speaker 1: why covered a lot of the elements that were in

570
00:31:12,480 --> 00:31:16,560
Speaker 1: the original Republican proposal exactly that got brought over. And

571
00:31:16,960 --> 00:31:19,920
Speaker 1: that's why in the Senate, even more Republicans it was

572
00:31:19,960 --> 00:31:22,640
Speaker 1: like seventeen Republicans voted for voted for this thing because

573
00:31:22,680 --> 00:31:26,080
Speaker 1: it would just so be so obviously blatantly hypocritical and

574
00:31:26,320 --> 00:31:30,440
Speaker 1: just purely partisan to vote against something that three minutes

575
00:31:30,480 --> 00:31:33,440
Speaker 1: ago under a Republican president you claim to be all four.

576
00:31:34,040 --> 00:31:38,680
Speaker 1: So that's why this is so incredibly just blatant sectarian

577
00:31:39,080 --> 00:31:45,360
Speaker 1: partisan politics. You literally supported this exact same thing under

578
00:31:45,400 --> 00:31:48,560
Speaker 1: a Republican president, and now not only are you not

579
00:31:48,600 --> 00:31:51,080
Speaker 1: supposed to support it, but you're going to be like

580
00:31:51,280 --> 00:31:55,360
Speaker 1: excommunicated from the party if you dare to vote in

581
00:31:55,360 --> 00:31:57,520
Speaker 1: favor of the thing that all of your colleagues were

582
00:31:57,520 --> 00:32:01,240
Speaker 1: four three minutes ago, and in fact, Sherman has this report.

583
00:32:01,520 --> 00:32:05,360
Speaker 1: This is really stunning. House GOP leadership is bracing for

584
00:32:05,440 --> 00:32:09,600
Speaker 1: a movement to strip lawmakers who voted for infrastructure of

585
00:32:09,680 --> 00:32:12,480
Speaker 1: their committee slots. He says, much of the anger is

586
00:32:12,480 --> 00:32:15,400
Speaker 1: at Representive John Katco, who voted early because he saw

587
00:32:15,600 --> 00:32:19,320
Speaker 1: Banks and other Republicans on TV dumping all over the bill,

588
00:32:19,400 --> 00:32:20,800
Speaker 1: so he sort of wanted to get his vote in,

589
00:32:20,880 --> 00:32:23,880
Speaker 1: I guess before it got too ugly out there. But

590
00:32:24,360 --> 00:32:28,360
Speaker 1: this is insane. You're going to strip lawmakers of their

591
00:32:28,440 --> 00:32:32,960
Speaker 1: committee slots because they voted for an infrastructure package that, again,

592
00:32:33,040 --> 00:32:36,200
Speaker 1: your party claimed to support three minutes ago under a

593
00:32:36,200 --> 00:32:39,800
Speaker 1: Republican president. It's really wild. Yeah, okay, so listen, you know,

594
00:32:39,880 --> 00:32:43,280
Speaker 1: Steve King or whatever, they lose their committee seat. Okay,

595
00:32:43,360 --> 00:32:47,800
Speaker 1: you know, the conference seems reasonable, but this voting for action,

596
00:32:48,200 --> 00:32:51,800
Speaker 1: you're gonna move your committee. I mean, that is totally nuts.

597
00:32:52,080 --> 00:32:54,640
Speaker 1: And we'll think about the incentives that are being set here.

598
00:32:55,000 --> 00:32:57,880
Speaker 1: The incentive now is not only if you vote for

599
00:32:57,960 --> 00:33:00,520
Speaker 1: a bill, no matter what's in the bill, and you

600
00:33:00,600 --> 00:33:04,520
Speaker 1: give a win to a Democratic president, then you are

601
00:33:04,840 --> 00:33:09,160
Speaker 1: not only going to get primaried, you're illegitimate. Your colleagues

602
00:33:09,240 --> 00:33:13,480
Speaker 1: will strike out against you. Imagine what that means for

603
00:33:13,680 --> 00:33:17,360
Speaker 1: any substance of legislation going forward. This is what happened

604
00:33:17,360 --> 00:33:19,840
Speaker 1: in the Tea Party and it nearly nuked the US

605
00:33:19,920 --> 00:33:23,760
Speaker 1: economy back in twenty twelve and twenty thirteen. Is that

606
00:33:23,880 --> 00:33:25,960
Speaker 1: really what you want to set And then here's the

607
00:33:26,000 --> 00:33:28,600
Speaker 1: other thing. It's all just a matter of mutually assured

608
00:33:28,600 --> 00:33:33,200
Speaker 1: destruction because now Republicans are about to have the majority

609
00:33:33,240 --> 00:33:36,320
Speaker 1: in the House, in the Senate very likely after twenty

610
00:33:36,440 --> 00:33:39,560
Speaker 1: twenty two, and then possibly a Republican president wins in

611
00:33:39,600 --> 00:33:43,880
Speaker 1: twenty twenty four. But maybe things get dicey, Well, are

612
00:33:43,920 --> 00:33:45,800
Speaker 1: you what's going to happen in the Senate and you

613
00:33:45,800 --> 00:33:48,600
Speaker 1: don't have a filibuster proof and they see what happened

614
00:33:48,840 --> 00:33:51,000
Speaker 1: last time. Many Democrats are not going to work with you.

615
00:33:51,240 --> 00:33:53,840
Speaker 1: And as I said, maybe you could claim that they

616
00:33:53,840 --> 00:33:56,720
Speaker 1: wouldn't do the same for you, but they did try back.

617
00:33:57,040 --> 00:33:59,320
Speaker 1: You know a couple of years ago was an age

618
00:33:59,320 --> 00:34:02,360
Speaker 1: industry that was twenty nineteen gristle. Just so people know,

619
00:34:02,560 --> 00:34:05,040
Speaker 1: the infrastructure offer tw twenty nineteen that was like two

620
00:34:05,160 --> 00:34:08,400
Speaker 1: years ago, okay, in terms of what was happening just

621
00:34:08,520 --> 00:34:13,160
Speaker 1: again and again. I see this complete reversion of MAGA

622
00:34:13,520 --> 00:34:21,040
Speaker 1: into just like completely like subs substance lists, nothing except

623
00:34:21,360 --> 00:34:25,600
Speaker 1: loyalty to Trump and partisan ideology above all, and that

624
00:34:25,640 --> 00:34:29,200
Speaker 1: will get you nowhere both Maybe it'll win you the presidency.

625
00:34:29,280 --> 00:34:32,319
Speaker 1: Maybe you know, I'm cynical enough in order to think

626
00:34:32,320 --> 00:34:34,120
Speaker 1: that that could be the case. But in terms of

627
00:34:34,120 --> 00:34:36,719
Speaker 1: making the country better off, most people don't want to

628
00:34:36,760 --> 00:34:39,640
Speaker 1: live this way. They really don't like they want. If

629
00:34:39,680 --> 00:34:41,840
Speaker 1: you're a Republican in New Jersey and you have to

630
00:34:41,840 --> 00:34:44,920
Speaker 1: take that amtrak, you know you want your representative to

631
00:34:45,000 --> 00:34:47,080
Speaker 1: vote for the bill. What's wrong with that? That's a

632
00:34:47,239 --> 00:34:51,000
Speaker 1: return to at least some semblance of localism in our politics.

633
00:34:51,080 --> 00:34:54,200
Speaker 1: Hypernationalization this is going to continue to breed it and

634
00:34:54,239 --> 00:34:56,200
Speaker 1: this really is the road to hell. I can't emphasize

635
00:34:56,239 --> 00:34:58,400
Speaker 1: that enough. I don't want to sound like we're preaching

636
00:34:58,440 --> 00:35:01,799
Speaker 1: or whatever, but this is a perfect example of how

637
00:35:01,920 --> 00:35:04,920
Speaker 1: the incentives and the party, you know, pushes you to

638
00:35:05,120 --> 00:35:07,920
Speaker 1: doing absolutely nothing, which is why we have change election

639
00:35:08,000 --> 00:35:12,279
Speaker 1: after change election at change exactly it. I mean, I

640
00:35:12,320 --> 00:35:15,480
Speaker 1: was just talking about how you can almost time it

641
00:35:15,640 --> 00:35:18,200
Speaker 1: like we know what's going to happen in twenty twenty two,

642
00:35:18,480 --> 00:35:21,080
Speaker 1: and that backlash will probably continue. I mean, who knows

643
00:35:21,080 --> 00:35:23,400
Speaker 1: twenty twenty four, but it looks pretty good for whoever

644
00:35:23,400 --> 00:35:25,759
Speaker 1: the Republican's going to put up right, and then they're

645
00:35:25,800 --> 00:35:28,520
Speaker 1: going to suck and in all sorts of manifest the

646
00:35:28,520 --> 00:35:30,080
Speaker 1: ways that people are going to be pissed off still

647
00:35:30,120 --> 00:35:31,759
Speaker 1: about the direction of the country because they're not going

648
00:35:31,840 --> 00:35:33,800
Speaker 1: to really do anything, and then you're gonna have a

649
00:35:33,840 --> 00:35:37,920
Speaker 1: wave in the other direction until someone actually delivers and

650
00:35:38,040 --> 00:35:40,600
Speaker 1: actually has a vision and actually makes people feel positive

651
00:35:40,640 --> 00:35:43,800
Speaker 1: and hopeful about this nation again. And let's not pretend

652
00:35:44,360 --> 00:35:47,000
Speaker 1: like Trump's comments at this dinner didn't already have a

653
00:35:47,120 --> 00:35:50,560
Speaker 1: huge impact, Like, yes, the infrastructure deal is done, that's

654
00:35:50,560 --> 00:35:53,719
Speaker 1: going to Biden's desk, that's over with. But one of

655
00:35:53,760 --> 00:35:56,640
Speaker 1: the members of Congress who voted for this, how do

656
00:35:56,640 --> 00:35:59,480
Speaker 1: you say your last name, Malia Takas, Yes, hold Malia Takas,

657
00:35:59,480 --> 00:36:06,120
Speaker 1: she represents New York, reportedly was visibly shaken listening to

658
00:36:06,160 --> 00:36:10,560
Speaker 1: these comments at this dinner, because ultimately, the Republican Party

659
00:36:10,600 --> 00:36:14,680
Speaker 1: has collapsed down to just a Trump loyalty test. And

660
00:36:14,719 --> 00:36:17,520
Speaker 1: if you, for whatever reason, accidental or not, get on

661
00:36:17,560 --> 00:36:20,279
Speaker 1: the wrong side of that, he can end you. So

662
00:36:20,960 --> 00:36:23,400
Speaker 1: the message there's no doubt has been received on this.

663
00:36:23,640 --> 00:36:26,080
Speaker 1: That's right, Okay, let's move on here to a very

664
00:36:26,120 --> 00:36:30,880
Speaker 1: satisfying moment for me personally. We watched Adam Schiff worm

665
00:36:30,960 --> 00:36:35,120
Speaker 1: his way, you know, across cable news for years, spreading lies,

666
00:36:35,280 --> 00:36:39,480
Speaker 1: leaking to the media on Russia Gate, repeatedly saying ridiculous

667
00:36:39,480 --> 00:36:42,760
Speaker 1: and inflammatory things about how the Steele dossier was true,

668
00:36:43,160 --> 00:36:47,000
Speaker 1: insinuating that even the p tape, possibly saying that Muller had,

669
00:36:47,080 --> 00:36:50,480
Speaker 1: you know, evidence. Whenever it came to Trump, all of that,

670
00:36:50,680 --> 00:36:53,080
Speaker 1: it proved to be one of the most abject liars

671
00:36:53,400 --> 00:36:57,200
Speaker 1: in all of Washington, never ever really called on the

672
00:36:57,440 --> 00:36:59,520
Speaker 1: trauma that he put the country through for a couple

673
00:36:59,600 --> 00:37:04,040
Speaker 1: of years, and finally he was on the view, and unexpectedly,

674
00:37:04,080 --> 00:37:06,520
Speaker 1: Morgan Ortegas she used to work at Fox News and

675
00:37:06,560 --> 00:37:09,000
Speaker 1: also worked at the State Department under Trump, I guess

676
00:37:09,120 --> 00:37:13,240
Speaker 1: was guest hosting that particular day. Kine prepared and made

677
00:37:13,280 --> 00:37:16,360
Speaker 1: Adam look like an absolute fool. Let's take a listen.

678
00:37:17,000 --> 00:37:18,759
Speaker 1: So I want to ask you about something that's in

679
00:37:18,800 --> 00:37:22,160
Speaker 1: the news a lot right now. You've been really prolific

680
00:37:22,280 --> 00:37:23,719
Speaker 1: over the past few years being the head of the

681
00:37:23,760 --> 00:37:27,480
Speaker 1: Intel Committee, and you've defended, promoted, you even read into

682
00:37:27,520 --> 00:37:31,160
Speaker 1: the Congressional record the Steele dossier, and we know last

683
00:37:31,160 --> 00:37:33,560
Speaker 1: week the main source of the dossier was indicted by

684
00:37:33,560 --> 00:37:36,960
Speaker 1: the FBI for lying about most of the key claims

685
00:37:36,960 --> 00:37:39,960
Speaker 1: in that dossier. Do you have any reflections on your

686
00:37:40,080 --> 00:37:43,359
Speaker 1: role in promoting this to the American people? Well, first

687
00:37:43,400 --> 00:37:46,239
Speaker 1: of all, whoever lied to the FBI or lied to

688
00:37:46,320 --> 00:37:51,040
Speaker 1: Christomas Steele should be prosecuted, and they are. And unlike

689
00:37:51,080 --> 00:37:54,160
Speaker 1: in the Trump administration, if they're convicted, they should go

690
00:37:54,200 --> 00:37:57,799
Speaker 1: to jail, not be pardoned. So Donald Trump pardoned Roger

691
00:37:57,800 --> 00:38:00,839
Speaker 1: Stone for lying, he pardoned Michael Flinn for lying. If

692
00:38:00,840 --> 00:38:04,319
Speaker 1: people ied the FBI, they should go to jail. But

693
00:38:04,400 --> 00:38:06,440
Speaker 1: at the beginn of the Russian investigation, I said that

694
00:38:06,600 --> 00:38:10,000
Speaker 1: any allegations should be investigated. We couldn't have known, for example,

695
00:38:10,000 --> 00:38:12,799
Speaker 1: people were lying Christopher Steele, so it was proper to

696
00:38:12,840 --> 00:38:16,319
Speaker 1: investigate them. And let's not forget what we learned in

697
00:38:16,320 --> 00:38:20,440
Speaker 1: that investigation. We learned that the Trump campaign chairman all

698
00:38:20,520 --> 00:38:25,360
Speaker 1: Manifort was giving internal polling data campaign polling data to

699
00:38:25,440 --> 00:38:29,040
Speaker 1: Russian intelligence while Russian intelligence was helping the Trump To

700
00:38:29,040 --> 00:38:31,919
Speaker 1: be clear, he was fired halfway through the campaign. Well,

701
00:38:32,160 --> 00:38:34,799
Speaker 1: he may have been fired, but the effort to get

702
00:38:34,840 --> 00:38:37,359
Speaker 1: Russian help continued, and even beyond the effort to get

703
00:38:37,440 --> 00:38:41,760
Speaker 1: Russian help. But you may Russian disinformation yourself for years

704
00:38:41,800 --> 00:38:44,480
Speaker 1: by promoting this. I think that's what Republicans and what

705
00:38:44,560 --> 00:38:47,839
Speaker 1: people who entrusted you as the Intell Committee chair are

706
00:38:47,880 --> 00:38:50,440
Speaker 1: so confused about your culpability and all of this. Well,

707
00:38:50,640 --> 00:38:53,719
Speaker 1: I completely disagree with your premise. It's one thing to

708
00:38:53,760 --> 00:38:57,040
Speaker 1: say allegations should be investigated, and they were. It's another

709
00:38:57,280 --> 00:38:59,719
Speaker 1: to say that we should have foreseen in advanced to

710
00:38:59,800 --> 00:39:03,080
Speaker 1: some people were lying to Christopher Steele, which is impossible,

711
00:39:03,120 --> 00:39:05,960
Speaker 1: of course to do. But let's not use that as

712
00:39:05,960 --> 00:39:11,040
Speaker 1: a smoke screen to somehow shield Donald Trump's culpability for

713
00:39:11,760 --> 00:39:14,080
Speaker 1: inviting Russia to help them in the election, which they did,

714
00:39:14,600 --> 00:39:16,600
Speaker 1: for trying to course Ukraine into helping him in the

715
00:39:16,640 --> 00:39:21,719
Speaker 1: next election, which he did, into inciting an erection insurrection,

716
00:39:21,800 --> 00:39:24,759
Speaker 1: which he did. None of that is under cut, none

717
00:39:24,800 --> 00:39:28,040
Speaker 1: of that serious misconduct. Is it anyway diminished by the

718
00:39:28,040 --> 00:39:30,439
Speaker 1: fact that people lied to Christopher Steele. No, I think

719
00:39:30,520 --> 00:39:36,200
Speaker 1: just your credibility is oooh brutal, look a kicker out

720
00:39:36,360 --> 00:39:39,200
Speaker 1: dead to rights. He read the Steele dossier into the

721
00:39:39,320 --> 00:39:42,120
Speaker 1: congressional record, and what do we learn here? And was

722
00:39:42,360 --> 00:39:46,240
Speaker 1: killed as a hero and became a household name literal.

723
00:39:46,320 --> 00:39:48,080
Speaker 1: I mean, how many millions of dollars of this man

724
00:39:48,160 --> 00:39:52,520
Speaker 1: raised off of MSNBC hits on Rachel Maddow, off of

725
00:39:52,600 --> 00:39:56,440
Speaker 1: becoming a literal celebrity. I once saw him actually outside

726
00:39:56,480 --> 00:39:59,640
Speaker 1: the street. I was passing by Apak was going on,

727
00:40:00,080 --> 00:40:03,360
Speaker 1: and to be right outside, I saw him get mobbed,

728
00:40:03,440 --> 00:40:06,399
Speaker 1: and I really mean mobbed by people on the street

729
00:40:06,480 --> 00:40:09,640
Speaker 1: being like, we love you. Go after Trump give it

730
00:40:09,640 --> 00:40:11,840
Speaker 1: to him. He was like pumping his fist up in

731
00:40:11,880 --> 00:40:15,880
Speaker 1: the air, A legit celebrity. I'm a rare thing that

732
00:40:15,920 --> 00:40:18,320
Speaker 1: you see that happened to politicians here in the city.

733
00:40:18,400 --> 00:40:21,600
Speaker 1: And that was happening right out there on the street,

734
00:40:21,840 --> 00:40:24,200
Speaker 1: and it was total ps I mean, how many times

735
00:40:24,239 --> 00:40:26,279
Speaker 1: did he assure, here's the the thing. If you're one

736
00:40:26,320 --> 00:40:28,319
Speaker 1: of these resistance liberals, you should be mad. I mean

737
00:40:28,480 --> 00:40:30,600
Speaker 1: he assured them over and over again. He's like, look,

738
00:40:30,640 --> 00:40:33,560
Speaker 1: we've got the smoking gun or whatever. On collusion. He

739
00:40:33,719 --> 00:40:37,520
Speaker 1: was prosecuting Trump on the impeachment. He was constantly look

740
00:40:37,640 --> 00:40:41,960
Speaker 1: man Aford pushing the steeldskier and this recent indictment of

741
00:40:42,040 --> 00:40:44,600
Speaker 1: the primary source for the Steele dossier. Have so much

742
00:40:44,600 --> 00:40:47,080
Speaker 1: of this information, which again he put into the record

743
00:40:47,120 --> 00:40:51,000
Speaker 1: of the United States Congress, is completely fabricated and false. Yeah,

744
00:40:51,000 --> 00:40:54,280
Speaker 1: and he has no apology even to the American people

745
00:40:54,320 --> 00:40:58,200
Speaker 1: for doing that. Right, And so let's let's just remind everybody.

746
00:40:58,200 --> 00:40:59,480
Speaker 1: And by the way, you should go back and watch

747
00:40:59,480 --> 00:41:02,600
Speaker 1: our segment. It's glad that we did on Tuesday for

748
00:41:02,680 --> 00:41:06,799
Speaker 1: you know, a full debriefing of all of the latest developments.

749
00:41:07,320 --> 00:41:12,279
Speaker 1: But one of the main Steel dossier sources was just

750
00:41:12,360 --> 00:41:16,960
Speaker 1: indicted for and arrested for lying to the FBI. And

751
00:41:17,239 --> 00:41:19,439
Speaker 1: what Steel had always said is, oh, I've got these

752
00:41:19,480 --> 00:41:22,359
Speaker 1: like deep sources in Russia, etc. This was like some

753
00:41:22,960 --> 00:41:27,439
Speaker 1: Washington operative think tank dude who was literally recycling into

754
00:41:27,480 --> 00:41:30,440
Speaker 1: the Steel dossier, which was funded by the Clinton campaign,

755
00:41:30,760 --> 00:41:34,440
Speaker 1: recycling rumors that he heard from the Clinton campaign. I mean,

756
00:41:34,480 --> 00:41:37,440
Speaker 1: think about that, they're paying to produce this document through

757
00:41:37,440 --> 00:41:40,640
Speaker 1: a roundabout mechanism, paying to produce this document, and then

758
00:41:40,680 --> 00:41:42,800
Speaker 1: what ends up in the document is in part rumors

759
00:41:42,800 --> 00:41:46,920
Speaker 1: from their own campaign. So that's how fraudulent. This thing

760
00:41:47,040 --> 00:41:49,640
Speaker 1: ultimately turned out to be. And you know, to your

761
00:41:49,680 --> 00:41:54,600
Speaker 1: point about resistance liberals, if you were someone who trusted

762
00:41:54,600 --> 00:42:00,800
Speaker 1: the folks on MSNBC, trusted CNN, trusted the Democratic representatives

763
00:42:00,880 --> 00:42:02,880
Speaker 1: who you know, you believed in and thought you were

764
00:42:02,880 --> 00:42:05,360
Speaker 1: telling they were telling the trades, no one should be

765
00:42:05,440 --> 00:42:09,080
Speaker 1: more furious than those she met. Yeah, and I don't.

766
00:42:09,120 --> 00:42:11,920
Speaker 1: I really don't blame even though we've poke fun were

767
00:42:12,200 --> 00:42:14,280
Speaker 1: liberals and white moms and stuff. I really don't blame

768
00:42:14,320 --> 00:42:16,600
Speaker 1: them for thinking that there was a lot more there

769
00:42:16,640 --> 00:42:20,239
Speaker 1: because they were consistently lied to and Amschiff was one

770
00:42:20,320 --> 00:42:23,759
Speaker 1: of the worst actors. To your point, the reason he

771
00:42:23,840 --> 00:42:27,040
Speaker 1: was so routinely booked on MSNBC is because he was

772
00:42:27,120 --> 00:42:32,440
Speaker 1: always willing to elude or directly allege that there was

773
00:42:32,520 --> 00:42:36,040
Speaker 1: secret evidence that he was heavy to as head of

774
00:42:36,080 --> 00:42:39,120
Speaker 1: the Intel Committee that would blow the doors off of

775
00:42:39,200 --> 00:42:42,399
Speaker 1: this thing, and that once this became public, this smoking gun,

776
00:42:42,440 --> 00:42:45,319
Speaker 1: it would be all over. It was a wrap. And

777
00:42:45,360 --> 00:42:49,080
Speaker 1: so the fact that he projected so much confidence in

778
00:42:49,360 --> 00:42:52,839
Speaker 1: the Steele dossier and in some of the more outrageous

779
00:42:52,880 --> 00:42:56,000
Speaker 1: and insane allegations against Trump, not that he was open

780
00:42:56,080 --> 00:42:58,760
Speaker 1: to help from Russia, which obviously like it was a mess,

781
00:42:58,760 --> 00:43:01,200
Speaker 1: and he was open to help, but there was direct

782
00:43:01,280 --> 00:43:03,319
Speaker 1: collusion in Putin had something on him and the pe

783
00:43:03,480 --> 00:43:05,840
Speaker 1: tape and all this stuff. Like a big part of

784
00:43:05,840 --> 00:43:08,800
Speaker 1: the reason why people gained confidence in that is because

785
00:43:08,800 --> 00:43:10,880
Speaker 1: they felt like Adam Schiff was in a position to

786
00:43:11,040 --> 00:43:14,560
Speaker 1: know things that the general public didn't know, and so

787
00:43:14,680 --> 00:43:16,680
Speaker 1: if he was confident enough in it to read it

788
00:43:16,680 --> 00:43:19,600
Speaker 1: into the congressional record and allude to all of this

789
00:43:19,680 --> 00:43:24,040
Speaker 1: still secret evidence, then there must really be some there there,

790
00:43:24,400 --> 00:43:26,200
Speaker 1: And that's what she's trying to get at with him,

791
00:43:26,320 --> 00:43:30,920
Speaker 1: and he is completely unrepentant. Yeah, I mean, and what's

792
00:43:30,960 --> 00:43:33,840
Speaker 1: amazing is that that is probably the highest level of

793
00:43:33,880 --> 00:43:38,040
Speaker 1: accountability he will ever face whenever it comes to steal dossier.

794
00:43:38,080 --> 00:43:41,040
Speaker 1: It's the highest level. I bet you that his the view,

795
00:43:41,120 --> 00:43:43,800
Speaker 1: colleagues there are like shaking, being like, oh my god,

796
00:43:43,920 --> 00:43:46,480
Speaker 1: what's happening? Right? They couldn't even believe that, you know,

797
00:43:46,520 --> 00:43:49,479
Speaker 1: an act of real journalism was happening there on the set.

798
00:43:49,880 --> 00:43:52,120
Speaker 1: This guy is a really powerful dude, and this is

799
00:43:52,200 --> 00:43:54,400
Speaker 1: like the first time he's ever faced a tough question

800
00:43:54,440 --> 00:43:57,000
Speaker 1: on this. Literally, that's fine on the view, I mean,

801
00:43:57,480 --> 00:44:00,880
Speaker 1: you know, we played that segment earlier during the Infrastructure

802
00:44:00,920 --> 00:44:04,320
Speaker 1: program of a congressional reporter Manu Raju going and sticking

803
00:44:04,320 --> 00:44:06,160
Speaker 1: a mic in a congressman's face. By the way, I

804
00:44:06,280 --> 00:44:09,280
Speaker 1: completely support that, Yeah, but why hasn't anybody on Capitol

805
00:44:09,320 --> 00:44:12,320
Speaker 1: Hill done that? I mean I as well, not anymore

806
00:44:12,360 --> 00:44:15,040
Speaker 1: because we work here. But previously, if we were at

807
00:44:15,040 --> 00:44:17,319
Speaker 1: the Hill and I had a Congressional press badge, I

808
00:44:17,320 --> 00:44:19,840
Speaker 1: could walk on Capitol Hill and stick a mic in

809
00:44:19,880 --> 00:44:22,600
Speaker 1: a camera in Adam Schiff's face and ask him a question.

810
00:44:22,920 --> 00:44:26,200
Speaker 1: And there are dozens of people who are paid to

811
00:44:26,239 --> 00:44:29,160
Speaker 1: do that every single day on Capitol Hill. Why don't

812
00:44:29,160 --> 00:44:31,640
Speaker 1: they ever ask them a question about any of this?

813
00:44:31,880 --> 00:44:34,880
Speaker 1: Why don't you go ask any of these congressmen? And

814
00:44:35,120 --> 00:44:39,000
Speaker 1: as you said, he continued to portray himself as privy

815
00:44:39,000 --> 00:44:42,759
Speaker 1: to non public and secret information, and he was say, oh, well,

816
00:44:42,840 --> 00:44:46,520
Speaker 1: behind the scenes, the briefings and the amount of endless

817
00:44:46,560 --> 00:44:49,680
Speaker 1: selective leaks that they would do, remember the Don Junior

818
00:44:49,760 --> 00:44:52,759
Speaker 1: situation and more leaking to CNN. And then that turned

819
00:44:52,800 --> 00:44:55,400
Speaker 1: out to be a total fabrication. And even though he

820
00:44:55,640 --> 00:44:59,880
Speaker 1: burned many reporters on Capitol Hill with fake collusion in

821
00:45:00,000 --> 00:45:03,160
Speaker 1: in they still trusted him, and now even after all

822
00:45:03,200 --> 00:45:05,080
Speaker 1: of that, they still won't hold him to account. It's

823
00:45:05,080 --> 00:45:07,440
Speaker 1: a pathetic stention. And of course the grander game with

824
00:45:07,560 --> 00:45:10,160
Speaker 1: Russia Gate was, as so many of these things, to

825
00:45:10,200 --> 00:45:12,959
Speaker 1: make sure the Democratic Party could be let off the hook. Yes,

826
00:45:13,000 --> 00:45:15,239
Speaker 1: for the fact that they lost the election to a

827
00:45:15,239 --> 00:45:18,520
Speaker 1: guy who was eminently beatable, that their own candidate was terrible,

828
00:45:18,760 --> 00:45:21,600
Speaker 1: that she ran a terrible campaign, that people were disgusted

829
00:45:21,600 --> 00:45:26,320
Speaker 1: with Democratic action over years, and this Russia Gate ruse

830
00:45:27,000 --> 00:45:29,600
Speaker 1: was ultimately very convenient for them to not have to

831
00:45:29,640 --> 00:45:31,720
Speaker 1: answer to any of that. And of course Adam Schiff

832
00:45:31,800 --> 00:45:35,640
Speaker 1: is very much enmeshed and that power structure. So this

833
00:45:35,880 --> 00:45:38,920
Speaker 1: was terrible for America. It was terrible for people, you know,

834
00:45:39,000 --> 00:45:41,360
Speaker 1: who were more on the left, like Bernie Sanders supporters,

835
00:45:41,360 --> 00:45:44,719
Speaker 1: who wanted to make a real change and ultimately got

836
00:45:44,800 --> 00:45:48,799
Speaker 1: crushed because people were so persuaded that Donald Trump was

837
00:45:48,840 --> 00:45:52,240
Speaker 1: this unique existential threat that the only thing you should

838
00:45:52,239 --> 00:45:56,120
Speaker 1: care about is picking whatever the candidate the media says

839
00:45:56,440 --> 00:45:58,839
Speaker 1: is most likely to beat Donald Trump. And so that

840
00:45:58,960 --> 00:46:02,839
Speaker 1: ultimately made all of the existing power structures and kept

841
00:46:02,920 --> 00:46:05,560
Speaker 1: us you know, going in that direction. So that's where

842
00:46:05,560 --> 00:46:08,839
Speaker 1: we are today. Yeah, that's right, all right, interesting Shae gup.

843
00:46:08,840 --> 00:46:12,600
Speaker 1: Speaking of MSONBC, we've randomly had actually very smooth transitions today.

844
00:46:13,080 --> 00:46:16,359
Speaker 1: That was totally acvise Big News. Let's throw this up

845
00:46:16,400 --> 00:46:18,239
Speaker 1: on the screen. I believe we have a New York

846
00:46:18,280 --> 00:46:22,120
Speaker 1: Times tearsheet here. Yeah, Brian Williams says he is leaving

847
00:46:22,719 --> 00:46:27,040
Speaker 1: NBC News. Of course I have to read you the

848
00:46:27,040 --> 00:46:29,320
Speaker 1: first paragraph because I actually thought it was kind of funny.

849
00:46:29,719 --> 00:46:35,319
Speaker 1: Brian Williams, the square jawed news anchor laid low by

850
00:46:35,400 --> 00:46:38,479
Speaker 1: a fabulousm scandal, which is a pretty funny way to say,

851
00:46:38,560 --> 00:46:42,360
Speaker 1: like he blatantly lied about some stuff. Straight up lions

852
00:46:42,840 --> 00:46:45,480
Speaker 1: who manted a career comeback with a ready for this

853
00:46:45,520 --> 00:46:50,000
Speaker 1: one popular talk show on at eleven pm on MSNBC.

854
00:46:50,160 --> 00:46:52,000
Speaker 1: I guess it's all relative. It is more popular than

855
00:46:52,000 --> 00:46:54,000
Speaker 1: Don Lemon show over on CNN, so we'll give him that.

856
00:46:54,480 --> 00:46:57,080
Speaker 1: Announced on Tuesday he would step down from his program

857
00:46:57,120 --> 00:47:00,760
Speaker 1: after a five year run and depart NBC News entirely

858
00:47:00,880 --> 00:47:04,680
Speaker 1: at the end of the year. So Brian doesn't really

859
00:47:04,719 --> 00:47:08,120
Speaker 1: say what he is planning on doing, but it doesn't

860
00:47:08,120 --> 00:47:10,600
Speaker 1: sound like he plans to totally retire. He probably end

861
00:47:10,640 --> 00:47:13,920
Speaker 1: up with a podcast or something. Following much reflection, and

862
00:47:14,040 --> 00:47:16,160
Speaker 1: after twenty eight years with the company, I've decided to

863
00:47:16,239 --> 00:47:19,400
Speaker 1: leave NBC upon the completion of my current contract in December.

864
00:47:19,440 --> 00:47:21,520
Speaker 1: I've been truly blessed. I've been allowed to spend almost

865
00:47:21,520 --> 00:47:24,000
Speaker 1: half of my life with one company. NBC is part

866
00:47:24,040 --> 00:47:25,959
Speaker 1: of me and always will be. That might be something

867
00:47:25,960 --> 00:47:29,280
Speaker 1: you should be embarrassed about anyway. Moving on, he revealed

868
00:47:29,280 --> 00:47:31,320
Speaker 1: no immediate plans. He says, this is the end of

869
00:47:31,360 --> 00:47:33,480
Speaker 1: a chapter beginning of another. There are many things I

870
00:47:33,520 --> 00:47:35,839
Speaker 1: want to do, and I'll pop up again somewhere. New

871
00:47:35,920 --> 00:47:39,200
Speaker 1: York Times also cites a person familiar with mister William's

872
00:47:39,239 --> 00:47:43,120
Speaker 1: decision making who said that the anchor would consider his

873
00:47:43,200 --> 00:47:46,880
Speaker 1: options and hope to return to TV or another media

874
00:47:46,960 --> 00:47:52,880
Speaker 1: platform soon. So interesting development there. I have like a

875
00:47:53,000 --> 00:47:58,040
Speaker 1: sort of direct Brian Williams connection here. I was a

876
00:47:58,080 --> 00:48:00,799
Speaker 1: sort of a victim of although ultimately he did me

877
00:48:00,840 --> 00:48:04,480
Speaker 1: the great ever been done in my life, but at

878
00:48:04,480 --> 00:48:05,880
Speaker 1: the time it was it was hard to take. So,

879
00:48:06,520 --> 00:48:07,719
Speaker 1: as you guys know, I used to work it out

880
00:48:07,760 --> 00:48:09,719
Speaker 1: a SEBCAO as a host there, and ultimately my show

881
00:48:09,760 --> 00:48:13,360
Speaker 1: got canceled, my contract terminated. Part of what happened in

882
00:48:13,400 --> 00:48:15,239
Speaker 1: all of this is that was during the time period

883
00:48:15,280 --> 00:48:19,400
Speaker 1: where Williams had gotten caught lying about the helicopter ride

884
00:48:19,520 --> 00:48:22,000
Speaker 1: a couple other things that ultimately came out that was

885
00:48:22,040 --> 00:48:24,280
Speaker 1: basically like, oh, this was something he kind of routinely

886
00:48:24,320 --> 00:48:27,439
Speaker 1: did just make up stories to portray himself as more

887
00:48:27,600 --> 00:48:30,880
Speaker 1: brave and courageous and heroic than what was actually happening

888
00:48:30,920 --> 00:48:34,560
Speaker 1: in the situation. So they had benched Brian from he

889
00:48:34,680 --> 00:48:36,799
Speaker 1: was hosting I think NBC Nightly News at that point,

890
00:48:37,080 --> 00:48:39,680
Speaker 1: gigantic contract I mean millions and millions of dollars, and

891
00:48:39,680 --> 00:48:41,040
Speaker 1: they have them on the silence and they're trying to

892
00:48:41,040 --> 00:48:42,600
Speaker 1: figure out what the hell to do with this guy.

893
00:48:43,120 --> 00:48:47,680
Speaker 1: So they bring in new president of NBC, Andy Lack,

894
00:48:48,360 --> 00:48:52,239
Speaker 1: and Lack and Williams are old buddies, and effectively, my

895
00:48:52,360 --> 00:48:55,719
Speaker 1: understanding is that a big part of why Lack was

896
00:48:55,760 --> 00:48:59,399
Speaker 1: brought in was to effectively figure out what to do

897
00:48:59,680 --> 00:49:04,240
Speaker 1: about the Brian Williams problem. So this is during twenty fifteen,

898
00:49:04,600 --> 00:49:09,840
Speaker 1: ratings at NBC are at MSNBC or total trash. Everyone's

899
00:49:09,880 --> 00:49:13,240
Speaker 1: bored with the Obama presidency. There's just a complete malaise.

900
00:49:13,320 --> 00:49:17,000
Speaker 1: Nothing's really working and so what Lack decides he's going

901
00:49:17,080 --> 00:49:20,279
Speaker 1: to do is he's going to plug Brian Williams in

902
00:49:20,320 --> 00:49:24,560
Speaker 1: to the daytime lineup whenever there's breaking news. So he

903
00:49:24,600 --> 00:49:28,920
Speaker 1: would effectively supersede whatever programs were going on and started,

904
00:49:29,160 --> 00:49:31,279
Speaker 1: you know, do his anchor man thing whenever there was

905
00:49:31,320 --> 00:49:34,759
Speaker 1: big breaking news. And the concept at the time was

906
00:49:34,760 --> 00:49:38,759
Speaker 1: that we've gotten too progressive, too liberal over here. We

907
00:49:38,800 --> 00:49:40,360
Speaker 1: want to go back to hard news. We'm going to

908
00:49:40,440 --> 00:49:42,799
Speaker 1: be more like CNN hard news. We're going to lean

909
00:49:42,840 --> 00:49:47,360
Speaker 1: on our NBC news personalities. So everybody during the daytime

910
00:49:47,840 --> 00:49:51,799
Speaker 1: who had any opinion that was like remotely on the

911
00:49:51,880 --> 00:49:55,000
Speaker 1: left basically got canned. So this is the era when

912
00:49:55,239 --> 00:49:58,400
Speaker 1: Ed Schultz is fired, when I'm fired, when you know,

913
00:49:58,440 --> 00:50:01,040
Speaker 1: my whole show is canceled, run in Pharaoh. His show

914
00:50:01,080 --> 00:50:03,440
Speaker 1: wasn't going all that way anyway. Joy Reid actually had

915
00:50:03,440 --> 00:50:06,319
Speaker 1: her show pulled at that time, and she was kind of,

916
00:50:06,440 --> 00:50:08,719
Speaker 1: you know, on the sidelines there for quite a while.

917
00:50:08,800 --> 00:50:11,400
Speaker 1: So there were a bunch of shakeups then, all because

918
00:50:11,840 --> 00:50:14,920
Speaker 1: they didn't want it to be uncomfortable for Brian Williams

919
00:50:14,960 --> 00:50:17,440
Speaker 1: when he came into breaking news if there was opinion

920
00:50:17,600 --> 00:50:20,840
Speaker 1: going on around him. Which is funny now because of

921
00:50:20,840 --> 00:50:23,880
Speaker 1: course it is eleven PM slot. He was all opinions.

922
00:50:23,880 --> 00:50:26,680
Speaker 1: It was preer opinion. It turned out that, you know,

923
00:50:26,800 --> 00:50:30,000
Speaker 1: once Trump got elected in the Trump era, the people

924
00:50:30,000 --> 00:50:32,600
Speaker 1: who were most willing to be the most ridiculous in

925
00:50:32,640 --> 00:50:35,280
Speaker 1: their attacks against him, those were the ones that raided

926
00:50:35,320 --> 00:50:38,840
Speaker 1: the most. Who was most willing to be absurd on Russiagate,

927
00:50:38,960 --> 00:50:41,040
Speaker 1: like Rachel Mattow, those were the shows that did the most.

928
00:50:41,040 --> 00:50:44,560
Speaker 1: So anyway, in a weird sort of way, Brian Williams

929
00:50:44,640 --> 00:50:48,040
Speaker 1: lying led to me getting fired by m SEMEC. But again,

930
00:50:48,360 --> 00:50:51,120
Speaker 1: best thing in the long run that ever happened to me,

931
00:50:52,000 --> 00:50:54,240
Speaker 1: and you know, part of my journey to you today.

932
00:50:54,560 --> 00:50:57,239
Speaker 1: The other big news at NBC that just came out

933
00:50:57,239 --> 00:50:59,120
Speaker 1: as kind of a side note to this is, you know,

934
00:50:59,200 --> 00:51:01,560
Speaker 1: Rachel Maddow. This hasn't been talked about a lot, but

935
00:51:01,600 --> 00:51:05,080
Speaker 1: she's stepping down from her nightly show very soon. She's

936
00:51:05,160 --> 00:51:09,920
Speaker 1: remaining at MSNBC, but her they haven't even said exactly

937
00:51:09,920 --> 00:51:11,560
Speaker 1: what she's going to be, more like sort of like

938
00:51:11,640 --> 00:51:15,520
Speaker 1: periodic specials once a week or every other week than

939
00:51:15,520 --> 00:51:18,439
Speaker 1: a nightly show, which is a huge blow to them

940
00:51:18,640 --> 00:51:21,560
Speaker 1: because even though obviously you know what we think of

941
00:51:21,560 --> 00:51:24,560
Speaker 1: her politics and the way that she lied, especially during Rushigate.

942
00:51:25,440 --> 00:51:28,840
Speaker 1: She is the one person who routinely still is the

943
00:51:28,880 --> 00:51:32,399
Speaker 1: only person brings it an audience at all, the only person, right.

944
00:51:32,520 --> 00:51:35,359
Speaker 1: So the news that just came out related to that.

945
00:51:35,719 --> 00:51:38,040
Speaker 1: It would put this Byron New York's up on the

946
00:51:38,080 --> 00:51:42,160
Speaker 1: screen tweet. CNN reportedly offered Rachel out of twenty million

947
00:51:42,200 --> 00:51:45,959
Speaker 1: dollars a year to anchor their new streaming service, which

948
00:51:46,000 --> 00:51:50,040
Speaker 1: is where Casey Hunt is now, and NBC had to

949
00:51:50,040 --> 00:51:53,920
Speaker 1: effectively offer her more money and to do a lot less.

950
00:51:54,080 --> 00:51:57,000
Speaker 1: So she turned down that offer. But pretty interesting to

951
00:51:57,040 --> 00:51:59,359
Speaker 1: see a CNN try to make big moves like that

952
00:51:59,440 --> 00:52:02,720
Speaker 1: to pump up their streaming service, which is almost certain

953
00:52:02,760 --> 00:52:05,600
Speaker 1: to fail. Yeah, no, it is wild. I do think

954
00:52:05,719 --> 00:52:07,600
Speaker 1: that this and the reason I wanted to cover the

955
00:52:07,600 --> 00:52:09,359
Speaker 1: story was not only to you know, so you could

956
00:52:09,360 --> 00:52:12,160
Speaker 1: share what happened, but this is this is the end

957
00:52:12,239 --> 00:52:15,840
Speaker 1: for them. I mean, they are big, big personalities. Matt Lauer.

958
00:52:15,880 --> 00:52:18,520
Speaker 1: Obviously that didn't work out so well. Brian Williams was

959
00:52:18,560 --> 00:52:20,160
Speaker 1: I mean, look, whatever you want to say, it was

960
00:52:20,200 --> 00:52:23,440
Speaker 1: a household name time people knew who he was. He's gone.

961
00:52:23,760 --> 00:52:27,120
Speaker 1: Now my Mom, you would say, Brian, it was a

962
00:52:27,200 --> 00:52:28,919
Speaker 1: huge thing. I mean, I knew who he was when

963
00:52:28,880 --> 00:52:31,360
Speaker 1: I was a kid, and then now you Rachel Mattow,

964
00:52:31,480 --> 00:52:35,240
Speaker 1: she's stepping down, apparently offered twenty million. They are all

965
00:52:35,520 --> 00:52:40,000
Speaker 1: basically totally screwed heading into the real streaming wars. And meanwhile,

966
00:52:40,040 --> 00:52:41,600
Speaker 1: I mean, you know, just to tuote our own horn,

967
00:52:41,680 --> 00:52:44,440
Speaker 1: we have been out here building and grinding for years

968
00:52:44,520 --> 00:52:47,920
Speaker 1: and they have no idea how to deal with absolutely

969
00:52:47,960 --> 00:52:49,680
Speaker 1: any of it. The fact that they were willing to

970
00:52:49,680 --> 00:52:52,960
Speaker 1: offer Rachel mattout twenty million dollars on CNN Plus is

971
00:52:53,000 --> 00:52:56,600
Speaker 1: the most insane thing I've ever heard, because nobody would

972
00:52:56,600 --> 00:52:59,440
Speaker 1: actually pay for that. I mean, we're already seeing that

973
00:52:59,600 --> 00:53:02,160
Speaker 1: whenever you try to put these people behind a paywall

974
00:53:02,400 --> 00:53:05,319
Speaker 1: or you try to make them compete here in the business,

975
00:53:05,320 --> 00:53:09,000
Speaker 1: in the real online space, an actual free market of

976
00:53:09,280 --> 00:53:12,160
Speaker 1: if you're good, then okay, people will watch you, and

977
00:53:12,200 --> 00:53:15,279
Speaker 1: if you're not, then they have endless other things that

978
00:53:15,320 --> 00:53:17,560
Speaker 1: they could watch. They don't know what to do. That's

979
00:53:17,560 --> 00:53:19,400
Speaker 1: why it's like the idea of Brian Williams on a

980
00:53:19,440 --> 00:53:21,480
Speaker 1: podcast is the most ridiculous thing I've ever heard. Like,

981
00:53:21,840 --> 00:53:23,759
Speaker 1: he's not gonna be good at it. He doesn't even

982
00:53:23,800 --> 00:53:26,480
Speaker 1: know how all the people doing all the work for him.

983
00:53:26,719 --> 00:53:29,600
Speaker 1: I mean, it's just not the same game whatsoever. So

984
00:53:29,680 --> 00:53:32,319
Speaker 1: when I just think about the transitional period that we're in,

985
00:53:32,480 --> 00:53:34,680
Speaker 1: I mean, it gives me some hope. Like mattou stepping

986
00:53:34,680 --> 00:53:37,840
Speaker 1: down Brian Williams out there. MSNBC right now is a

987
00:53:37,880 --> 00:53:40,799
Speaker 1: near all time low in ratings. They have plunged in

988
00:53:40,880 --> 00:53:44,240
Speaker 1: terms of their ratings. Fox is crushing them across the board.

989
00:53:44,280 --> 00:53:49,240
Speaker 1: They're trust rating along with CNBC or CNN has dropped dramatically.

990
00:53:49,400 --> 00:53:51,960
Speaker 1: I mean, this is a real problem. They have an

991
00:53:52,000 --> 00:53:54,759
Speaker 1: aging audience that if the fact that they do turn

992
00:53:54,760 --> 00:53:58,040
Speaker 1: into news, they only turn into rachel or like NBC

993
00:53:58,160 --> 00:54:01,600
Speaker 1: News with Lester Holt or whatever. And that can only

994
00:54:01,680 --> 00:54:03,960
Speaker 1: last for so long, man. I mean, like you always say,

995
00:54:04,040 --> 00:54:08,200
Speaker 1: look at the actual orial tables, like it's gonna start

996
00:54:08,320 --> 00:54:11,279
Speaker 1: fading out as time goes on. Now, in fairness, I

997
00:54:11,320 --> 00:54:13,600
Speaker 1: think it's still the case. Fox has always had the

998
00:54:13,640 --> 00:54:17,319
Speaker 1: oldest audience, that's right, of the cable news channels. But

999
00:54:17,640 --> 00:54:20,640
Speaker 1: all of these audiences are really old, and you can

1000
00:54:20,680 --> 00:54:23,080
Speaker 1: tell because when you look at they like to tell

1001
00:54:23,160 --> 00:54:26,359
Speaker 1: the overall numbers the overall numbers are irrelevant. The only

1002
00:54:26,400 --> 00:54:28,879
Speaker 1: thing they're making money off of is the key demo.

1003
00:54:28,960 --> 00:54:31,239
Speaker 1: It's like twenty five to fifty four, and there is

1004
00:54:31,280 --> 00:54:34,200
Speaker 1: a gigantic gulf between the overall numbers and then what

1005
00:54:34,200 --> 00:54:37,080
Speaker 1: they're actually hundreds of thousands of people. Yeah, right, and

1006
00:54:37,160 --> 00:54:40,880
Speaker 1: so like oftentimes now in this era, in that key demo,

1007
00:54:41,360 --> 00:54:45,759
Speaker 1: they're barely maybe getting one hundred k viewers during the

1008
00:54:45,840 --> 00:54:50,920
Speaker 1: daytime lineup, which is pathetic, but yeah, they're in big trouble.

1009
00:54:51,000 --> 00:54:53,680
Speaker 1: And the fact that you would even Rachel who I

1010
00:54:53,719 --> 00:54:57,279
Speaker 1: think I think Rachel and Tucker are some of the

1011
00:54:57,320 --> 00:55:01,759
Speaker 1: only people who could succeed outside of, like, you know,

1012
00:55:01,840 --> 00:55:05,760
Speaker 1: the cable news ecosystem because they genuinely have a following

1013
00:55:05,800 --> 00:55:07,560
Speaker 1: and people who turn up to hear what they have

1014
00:55:07,719 --> 00:55:10,759
Speaker 1: to say. But even her, I mean, the audience is

1015
00:55:10,800 --> 00:55:15,120
Speaker 1: so much older that they're not You're who you're going

1016
00:55:15,160 --> 00:55:18,400
Speaker 1: to like to buy a streaming service exactly, you know,

1017
00:55:18,600 --> 00:55:21,200
Speaker 1: I mean they're going to watch traditional cable news because

1018
00:55:21,200 --> 00:55:22,960
Speaker 1: that's not what they know about to get you on

1019
00:55:23,000 --> 00:55:25,200
Speaker 1: the channel? Are you to do it? Thirty years you

1020
00:55:25,560 --> 00:55:27,520
Speaker 1: turn on the TV. So it's just funny to me

1021
00:55:27,680 --> 00:55:30,640
Speaker 1: that these big businesses that see the writing on the

1022
00:55:30,680 --> 00:55:33,800
Speaker 1: wall with streaming and know they need to do something,

1023
00:55:34,440 --> 00:55:37,319
Speaker 1: but they keep turning to like, you know, we're gonna

1024
00:55:37,320 --> 00:55:39,840
Speaker 1: have Nicole Wallace on Peacock, We're gonna have Casey Hunt

1025
00:55:39,880 --> 00:55:43,400
Speaker 1: on CNN streaming service, like people are gonna I just

1026
00:55:43,440 --> 00:55:47,120
Speaker 1: saw Hallie Jackson is starting a new show. Oh really, yeah, funny,

1027
00:55:47,520 --> 00:55:49,640
Speaker 1: all right? I mean why, I just don't know why.

1028
00:55:49,719 --> 00:55:52,319
Speaker 1: It just has a matter of business. You wouldn't look

1029
00:55:52,360 --> 00:55:54,880
Speaker 1: to some people who are actually successful in the field

1030
00:55:54,880 --> 00:55:57,160
Speaker 1: that you're trying to get into. But whatever that being said,

1031
00:55:57,200 --> 00:55:58,919
Speaker 1: don't try and buy us because it ain't ever gonna happen.

1032
00:55:58,880 --> 00:56:03,960
Speaker 1: We're not for sale. Guys. Yeah, all right, Chris, what

1033
00:56:03,960 --> 00:56:05,680
Speaker 1: do you take it? A look at? Wow, guys, this

1034
00:56:05,800 --> 00:56:08,080
Speaker 1: is actually a huge deal that I wanted to break

1035
00:56:08,120 --> 00:56:10,840
Speaker 1: down for you. So workers at three Starbucks in Buffalo

1036
00:56:11,040 --> 00:56:13,120
Speaker 1: are starting to vote on whether or not they want

1037
00:56:13,160 --> 00:56:15,920
Speaker 1: to join a union, and the execs of that company

1038
00:56:15,960 --> 00:56:19,040
Speaker 1: appear to be in full meltdown mode. You're going to

1039
00:56:19,120 --> 00:56:22,080
Speaker 1: love this. So here is the very latest vote by

1040
00:56:22,080 --> 00:56:24,839
Speaker 1: mail is beginning this week in an election that would

1041
00:56:24,840 --> 00:56:28,280
Speaker 1: see Buffalo stores organized under Workers United. That's an affiliate

1042
00:56:28,280 --> 00:56:31,960
Speaker 1: of the Service Employees' International Union or SEIU. The fact

1043
00:56:31,960 --> 00:56:34,560
Speaker 1: that the voting is starting is already a huge win

1044
00:56:34,680 --> 00:56:38,400
Speaker 1: for pro union forces. Starbucks had sought to delay the election,

1045
00:56:38,480 --> 00:56:41,040
Speaker 1: and that is an effective union busting tactic in the

1046
00:56:41,040 --> 00:56:45,320
Speaker 1: service sector, in particular because of their inherent high turnover.

1047
00:56:45,719 --> 00:56:47,759
Speaker 1: If you can push an election off long enough, some

1048
00:56:47,800 --> 00:56:50,920
Speaker 1: of the original organizers might move on and new employees

1049
00:56:50,920 --> 00:56:52,799
Speaker 1: will be brought in who have to be educated on

1050
00:56:52,920 --> 00:56:56,160
Speaker 1: unionization from scratch. In their attempt to defeat the union,

1051
00:56:56,200 --> 00:56:59,040
Speaker 1: Starbucks also sought to expand the election to include all

1052
00:56:59,080 --> 00:57:01,800
Speaker 1: Starbucks in the buffle Low area, not just the three

1053
00:57:01,920 --> 00:57:05,080
Speaker 1: that originally filed. This also makes it harder for workers

1054
00:57:05,120 --> 00:57:07,560
Speaker 1: to unionize because they've got to organize a larger pool

1055
00:57:07,600 --> 00:57:10,200
Speaker 1: of workers who haven't been invested in the conversation from

1056
00:57:10,360 --> 00:57:13,680
Speaker 1: the start. So far, the National Labor Relations Sport has

1057
00:57:13,719 --> 00:57:15,920
Speaker 1: sided with the union. They have kept each of the

1058
00:57:15,920 --> 00:57:19,640
Speaker 1: Starbucks stores separate. That means if a majority of workers

1059
00:57:19,680 --> 00:57:23,280
Speaker 1: at even one location vote in favor of the union,

1060
00:57:23,680 --> 00:57:27,200
Speaker 1: that shop will in fact become union. And so how

1061
00:57:27,280 --> 00:57:30,200
Speaker 1: is Starbucks handling all this? Are they taking in stride

1062
00:57:30,320 --> 00:57:33,720
Speaker 1: confident in their business model? And huge profit margins, happy

1063
00:57:33,760 --> 00:57:36,080
Speaker 1: to live up to their rhetoric about supporting and backing

1064
00:57:36,080 --> 00:57:39,280
Speaker 1: their workforce. Of course not, they are freaking out in

1065
00:57:39,480 --> 00:57:42,600
Speaker 1: totally hilarious ways. So last weekend, they closed all the

1066
00:57:42,600 --> 00:57:45,720
Speaker 1: Starbucks locations in Buffalo early on Saturday, and the invited

1067
00:57:45,760 --> 00:57:48,240
Speaker 1: workers to a big, fancy event at the Hyatt. The

1068
00:57:48,280 --> 00:57:51,680
Speaker 1: invitation touted a secret special guest who turned out to

1069
00:57:51,720 --> 00:57:54,920
Speaker 1: be none other than Starbucks founder Howard Schultz. I mean,

1070
00:57:55,000 --> 00:57:57,200
Speaker 1: who wouldn't want to spend their Saturday night hanging out

1071
00:57:57,200 --> 00:57:59,439
Speaker 1: with the billionaire desperately try to keep you from having

1072
00:57:59,480 --> 00:58:02,440
Speaker 1: power in your workplace. In addition to all the standard

1073
00:58:02,480 --> 00:58:05,720
Speaker 1: anti union talking points about how wonderful the company already is,

1074
00:58:05,840 --> 00:58:09,240
Speaker 1: how committed they are to supporting their workers, Schultz also

1075
00:58:09,440 --> 00:58:13,480
Speaker 1: apparently wandered into a pretty bizarre Holocaust analogy. Sir, that

1076
00:58:13,560 --> 00:58:15,760
Speaker 1: up on the screen. So some workers who attended mister

1077
00:58:15,760 --> 00:58:18,840
Speaker 1: Schultz's talk were confused by a story he told about

1078
00:58:18,840 --> 00:58:21,640
Speaker 1: the Holocaust in which he noted that only a small

1079
00:58:21,680 --> 00:58:25,160
Speaker 1: portion of prisoners in German concentration camps received blankets, but

1080
00:58:25,280 --> 00:58:28,360
Speaker 1: often shared them with fellow prisoners. So much of that

1081
00:58:28,480 --> 00:58:30,960
Speaker 1: story is threaded into what we have tried to do

1082
00:58:31,040 --> 00:58:34,840
Speaker 1: with Starbucks, share our blanket, mister Schultz said. According to

1083
00:58:34,920 --> 00:58:39,760
Speaker 1: the transcript, Okay, gathering all your employees for a good

1084
00:58:39,760 --> 00:58:43,680
Speaker 1: old fashioned union busting meeting is just like Holocaust victims

1085
00:58:43,720 --> 00:58:48,000
Speaker 1: sharing blankets with their fellow prisoners or something. Or maybe

1086
00:58:48,080 --> 00:58:50,800
Speaker 1: the workers trying to stand with each other in solidarity

1087
00:58:50,960 --> 00:58:54,160
Speaker 1: against oppress of corporate bosses are more effectively channeling the

1088
00:58:54,200 --> 00:58:57,600
Speaker 1: spirit of those prisoners. Or maybe we should just leave

1089
00:58:57,640 --> 00:59:02,520
Speaker 1: the Nazi Holocaust analogies out of this altgether. Anyways, Starbucks

1090
00:59:02,600 --> 00:59:04,880
Speaker 1: is not wrong to be nervous about this effort. This

1091
00:59:04,880 --> 00:59:07,520
Speaker 1: thing actually looks like it has some chance of success. Listen,

1092
00:59:07,720 --> 00:59:09,800
Speaker 1: you've always got to assume the corporates are gonna win,

1093
00:59:09,880 --> 00:59:14,120
Speaker 1: and Starbucks has used extraordinary tactics to try and prevent unionization.

1094
00:59:14,760 --> 00:59:17,080
Speaker 1: But the time could hardly be more ripe. As we've

1095
00:59:17,120 --> 00:59:21,040
Speaker 1: been covering, workers everywhere are rediscovering and flexing their muscle

1096
00:59:21,160 --> 00:59:24,480
Speaker 1: in a variety of different ways. You've got huge strikes

1097
00:59:24,480 --> 00:59:27,440
Speaker 1: at John Deere and likely Kaiser. You've got small scale

1098
00:59:27,480 --> 00:59:30,200
Speaker 1: walkouts where the entire staff of a restaurant or a

1099
00:59:30,240 --> 00:59:32,480
Speaker 1: chain store just quit on masks and lock the door

1100
00:59:32,520 --> 00:59:35,360
Speaker 1: behind them, telling their bosses exactly what they think of them.

1101
00:59:35,400 --> 00:59:38,040
Speaker 1: In the meanwhile, to the record breaking numbers who are

1102
00:59:38,120 --> 00:59:41,040
Speaker 1: quitting on their own and jumping industries, that backdrop of

1103
00:59:41,120 --> 00:59:44,240
Speaker 1: renewed worker power gives these Starbucks briests as looking to

1104
00:59:44,360 --> 00:59:46,560
Speaker 1: organize a little bit of wind of their backs. Not

1105
00:59:46,600 --> 00:59:49,680
Speaker 1: only that, but the effort does seem outwardly to have

1106
00:59:49,760 --> 00:59:54,200
Speaker 1: some momentum. Three additional shops have now filed petitions to unionize.

1107
00:59:54,400 --> 00:59:57,720
Speaker 1: You add that to an actually worker friendly NLRB that

1108
00:59:57,800 --> 01:00:00,080
Speaker 1: has so far taken the union side, and I I

1109
01:00:00,120 --> 01:00:03,560
Speaker 1: am almost ready to allow myself a tiny glimmer of

1110
01:00:03,600 --> 01:00:06,640
Speaker 1: hope that at least one of the Buffalo Starbucks may

1111
01:00:06,720 --> 01:00:10,280
Speaker 1: in fact win a union. But just remember, our laws

1112
01:00:10,320 --> 01:00:12,960
Speaker 1: are so screwed up that even if they do unionize

1113
01:00:12,960 --> 01:00:16,040
Speaker 1: and it survives all of the inevitable appeals and challenges,

1114
01:00:16,520 --> 01:00:20,800
Speaker 1: still nothing is guaranteed. More than half of workers who

1115
01:00:20,880 --> 01:00:23,560
Speaker 1: join a union still do not have a collectively bargained

1116
01:00:23,600 --> 01:00:26,800
Speaker 1: contract a year later. Some companies they just skip any

1117
01:00:26,800 --> 01:00:30,600
Speaker 1: pretense at negotiations and resort to blatantly illegal tactics, things

1118
01:00:30,640 --> 01:00:34,600
Speaker 1: like firings and closing shops in retaliation for one example,

1119
01:00:34,680 --> 01:00:37,600
Speaker 1: Dollar General just outright closed to Missouri store that had

1120
01:00:37,680 --> 01:00:41,400
Speaker 1: voted to unionize. Our laws are so toothless that companies

1121
01:00:41,480 --> 01:00:44,920
Speaker 1: routinely get away with this kind of criminal behavior. Now,

1122
01:00:44,960 --> 01:00:48,240
Speaker 1: the pro Act would give the EDLRB some teeth, and

1123
01:00:48,280 --> 01:00:51,560
Speaker 1: it would also force companies and workers into binding arbitration

1124
01:00:51,680 --> 01:00:55,160
Speaker 1: if a deal cannot be reached, killing that stalling tactic.

1125
01:00:55,880 --> 01:00:59,520
Speaker 1: But Kirsten Cinema decided we can't have the pro act

1126
01:00:59,520 --> 01:01:01,600
Speaker 1: because she needs to take a raft of cash from

1127
01:01:01,640 --> 01:01:06,040
Speaker 1: barely legal pyramid schames otherwise known as MLMs. Now, these

1128
01:01:06,080 --> 01:01:09,360
Speaker 1: workers cannot count on Washington and that's where we come in. Guys,

1129
01:01:09,600 --> 01:01:12,720
Speaker 1: if these workers take the courageous step of voting to unionize,

1130
01:01:12,760 --> 01:01:15,080
Speaker 1: we have to have their backs, making sure we raise

1131
01:01:15,160 --> 01:01:17,400
Speaker 1: hell if the company does try to screw them over.

1132
01:01:17,760 --> 01:01:20,040
Speaker 1: For the first time in my entire life, the labor

1133
01:01:20,040 --> 01:01:22,120
Speaker 1: movement is actually starting to go on the offense. We've

1134
01:01:22,160 --> 01:01:25,280
Speaker 1: got to make sure that we are watching, Sara. It's

1135
01:01:25,320 --> 01:01:28,680
Speaker 1: pretty interesting so far NLRB is siding with them, and

1136
01:01:28,720 --> 01:01:33,120
Speaker 1: the reason Starbucks is so nervous, Sacer, what are you

1137
01:01:33,160 --> 01:01:35,920
Speaker 1: looking at? Well, a few months back, when Jeff Bezos

1138
01:01:35,920 --> 01:01:38,120
Speaker 1: blasted into space, there was a lot of discourse in

1139
01:01:38,160 --> 01:01:41,440
Speaker 1: this country around the billionaire space race. Many thought that

1140
01:01:41,480 --> 01:01:43,520
Speaker 1: it was grotesque to watch some of the richest men

1141
01:01:43,560 --> 01:01:46,080
Speaker 1: in the world engage in some sort of pissing contest

1142
01:01:46,360 --> 01:01:49,640
Speaker 1: around who could get to technically space with the most flair.

1143
01:01:50,040 --> 01:01:53,120
Speaker 1: Others said, look, who cares If the government isn't going

1144
01:01:53,160 --> 01:01:55,840
Speaker 1: to space, let the billionaires do it. It's better than

1145
01:01:55,840 --> 01:01:58,600
Speaker 1: having nothing, and they have the business, know how anyways,

1146
01:01:58,640 --> 01:02:01,760
Speaker 1: they have the will and they have money. Well, I

1147
01:02:01,800 --> 01:02:04,160
Speaker 1: feel somewhere in the middle at that time. But a

1148
01:02:04,360 --> 01:02:07,560
Speaker 1: flashing red warning sign around the billionaire space sace happened

1149
01:02:07,640 --> 01:02:11,360
Speaker 1: yesterday and it is being completely ignored by the corporate media.

1150
01:02:11,480 --> 01:02:14,120
Speaker 1: It has profound implications for the future of our country

1151
01:02:14,160 --> 01:02:18,800
Speaker 1: and its legacy in space. NASA Administrator Bill Nelson announced

1152
01:02:18,880 --> 01:02:24,040
Speaker 1: yesterday that the return to the mash Man Moon landing

1153
01:02:24,240 --> 01:02:29,000
Speaker 1: missions will be delayed until twenty twenty five. Not because

1154
01:02:29,040 --> 01:02:33,680
Speaker 1: of a technical difficulty or an engineering problem or something legitimate. No,

1155
01:02:33,680 --> 01:02:36,880
Speaker 1: no, no no, no, It is because of litigation, and not

1156
01:02:36,920 --> 01:02:42,080
Speaker 1: just any litigation, ego litigation from none other than Bezos himself.

1157
01:02:42,480 --> 01:02:46,040
Speaker 1: Jeff Bezos's company Blue Origin took the United States government

1158
01:02:46,040 --> 01:02:49,200
Speaker 1: to court for years over losing out on a two

1159
01:02:49,280 --> 01:02:52,960
Speaker 1: point nine billion dollar lunar landing contract. And you see,

1160
01:02:53,080 --> 01:02:55,920
Speaker 1: Bezos just could not summach that. So he wanted his

1161
01:02:56,000 --> 01:02:57,919
Speaker 1: company to be the one that landed on the Moon,

1162
01:02:58,240 --> 01:03:01,160
Speaker 1: and he was willing to bring all of his lobbying

1163
01:03:01,240 --> 01:03:05,200
Speaker 1: power to bear. So what happened immediately Bezos protested to

1164
01:03:05,280 --> 01:03:08,680
Speaker 1: the Government Accountability Office, saying that it wasn't fair that

1165
01:03:08,800 --> 01:03:12,040
Speaker 1: he wasn't getting the contract. The problem is that while

1166
01:03:12,080 --> 01:03:15,840
Speaker 1: all of this was happening, SpaceX literally was not allowed

1167
01:03:15,880 --> 01:03:19,320
Speaker 1: to work on the Lunar lander. Per Bill Nelson, the

1168
01:03:19,400 --> 01:03:22,360
Speaker 1: team preparing to land on the Moon had not been

1169
01:03:22,400 --> 01:03:26,120
Speaker 1: allowed to do any work on the lander for seven months,

1170
01:03:26,360 --> 01:03:29,800
Speaker 1: which means that Bezos, to satisfy his ego about Blue

1171
01:03:29,840 --> 01:03:33,480
Speaker 1: Origin is a real space company and not a vanity project,

1172
01:03:34,000 --> 01:03:36,600
Speaker 1: just delayed the return of the United States to the

1173
01:03:36,640 --> 01:03:40,040
Speaker 1: Moon by an entire year. This is where the rub

1174
01:03:40,120 --> 01:03:44,640
Speaker 1: is Bezos speaks very loftily about space the Next Frontier,

1175
01:03:44,640 --> 01:03:46,880
Speaker 1: about how he was inspired as a kid to move

1176
01:03:47,000 --> 01:03:50,760
Speaker 1: humanity forward. Okay, great, look, I love space too. I

1177
01:03:50,800 --> 01:03:52,600
Speaker 1: would kill to see an American on the Moon in

1178
01:03:52,640 --> 01:03:55,440
Speaker 1: my lifetime. But the problem was that Bezos could not

1179
01:03:55,520 --> 01:03:59,040
Speaker 1: let his greed out of the way. He wants America

1180
01:03:59,080 --> 01:04:02,040
Speaker 1: to win in space as long as he provides the

1181
01:04:02,120 --> 01:04:06,160
Speaker 1: Lunar Lander gets him more press, more money, more prestige.

1182
01:04:06,320 --> 01:04:10,840
Speaker 1: It's disgusting. The world's richest man arguably dealt the largest

1183
01:04:10,840 --> 01:04:14,240
Speaker 1: blow to the new American space race than any engineering

1184
01:04:14,320 --> 01:04:17,800
Speaker 1: failure ever could, all for the sake of vanity. And that,

1185
01:04:17,960 --> 01:04:20,120
Speaker 1: my friends, is where the danger in all of this lies.

1186
01:04:20,520 --> 01:04:23,160
Speaker 1: This is only the latest stunt that Bezos has pulled

1187
01:04:23,360 --> 01:04:26,280
Speaker 1: to try to use his personal wealth, fame, and fortune

1188
01:04:26,440 --> 01:04:30,720
Speaker 1: to bring more resources to bear for his rocket company.

1189
01:04:31,040 --> 01:04:34,200
Speaker 1: Check this out. Viewers of the show may recall Bezos,

1190
01:04:34,240 --> 01:04:38,400
Speaker 1: after losing the contract officially back in April, immediately kicked

1191
01:04:38,400 --> 01:04:41,760
Speaker 1: it into high gear. He got Senator Maria Cantwell, the

1192
01:04:41,800 --> 01:04:45,240
Speaker 1: Senator from Washington, his own home state and coincidentally home

1193
01:04:45,280 --> 01:04:49,600
Speaker 1: of Amazon HQ, to do something. Congress never does offer

1194
01:04:49,960 --> 01:04:53,960
Speaker 1: more money to NASA, but only on one condition that

1195
01:04:54,160 --> 01:04:57,440
Speaker 1: NASA would have to give the money to Bezos. This

1196
01:04:57,600 --> 01:05:01,440
Speaker 1: is especially galling because for years NASA has literally begged

1197
01:05:01,440 --> 01:05:04,120
Speaker 1: on its hands and knees to Congress for more money.

1198
01:05:04,200 --> 01:05:07,120
Speaker 1: If they wanted to go to space They requested three

1199
01:05:07,200 --> 01:05:11,040
Speaker 1: point three billion dollars. Congress gave him eight hundred and

1200
01:05:11,080 --> 01:05:14,320
Speaker 1: fifty million for the Moon program. They protested, they kicked,

1201
01:05:14,360 --> 01:05:17,680
Speaker 1: they screamed, they said it wasn't enough, but only in

1202
01:05:17,760 --> 01:05:19,840
Speaker 1: they had a budget crunch and they had to go

1203
01:05:19,880 --> 01:05:22,560
Speaker 1: with SpaceX because it gave the most competitive and cost

1204
01:05:22,600 --> 01:05:26,880
Speaker 1: effective bid. Was then the lunar lander that Bezos himself

1205
01:05:27,160 --> 01:05:30,400
Speaker 1: when he was personally affected that Congress tried to step

1206
01:05:30,440 --> 01:05:32,440
Speaker 1: in to help him. The way that they wrote the

1207
01:05:32,440 --> 01:05:36,040
Speaker 1: bill was so transparent. It actually gave NASA more money

1208
01:05:36,080 --> 01:05:39,640
Speaker 1: than even asked for for that project, and then said

1209
01:05:39,680 --> 01:05:42,560
Speaker 1: specifically it had to pick another company to give the

1210
01:05:42,640 --> 01:05:46,920
Speaker 1: money to, aka Jeff Bezos's company Blue Origin. Now, luckily

1211
01:05:47,000 --> 01:05:50,200
Speaker 1: the House of Representatives actually killed that bezou Bezos bailout,

1212
01:05:50,440 --> 01:05:53,840
Speaker 1: but the damage was done. Bezos ended up dragging this

1213
01:05:53,920 --> 01:05:57,080
Speaker 1: out in court for several months more and now we're delayed.

1214
01:05:57,560 --> 01:05:59,280
Speaker 1: Now we're a year behind in the landing on the

1215
01:05:59,280 --> 01:06:01,920
Speaker 1: Moon Becausezos did not get his contract, and that has

1216
01:06:02,000 --> 01:06:04,480
Speaker 1: profound implications. A lot of countries are i in the

1217
01:06:04,480 --> 01:06:08,600
Speaker 1: Moon right now, India, Brazil, China. NASA Administrator Nelson actually

1218
01:06:08,640 --> 01:06:11,600
Speaker 1: said in the same press conference blaming Bezos that they

1219
01:06:11,640 --> 01:06:15,920
Speaker 1: believed China was more was much closer than originally thought

1220
01:06:16,120 --> 01:06:19,040
Speaker 1: to landing a man mission on the Moon. So let

1221
01:06:19,040 --> 01:06:21,320
Speaker 1: me guess what they don't have to deal with in Beijing,

1222
01:06:21,640 --> 01:06:25,560
Speaker 1: the egos of billionaires affecting a project of national prestige.

1223
01:06:25,720 --> 01:06:29,160
Speaker 1: The story in a microcosm describes the dangers inherent in

1224
01:06:29,240 --> 01:06:32,960
Speaker 1: the current iteration of our space race. In the nineteen sixties,

1225
01:06:33,000 --> 01:06:36,240
Speaker 1: our national project was to land a man on the Moon,

1226
01:06:36,280 --> 01:06:38,760
Speaker 1: and it was built on the backs of great American

1227
01:06:38,800 --> 01:06:43,320
Speaker 1: aerospace companies which built cutting edge technology and critically had

1228
01:06:43,320 --> 01:06:46,840
Speaker 1: a contract process that selected the best hardware for the

1229
01:06:46,920 --> 01:06:50,680
Speaker 1: sake of actually achieving the mission as fast as possible.

1230
01:06:51,000 --> 01:06:54,480
Speaker 1: Why Because the goal was simple, get a man on

1231
01:06:54,560 --> 01:06:58,480
Speaker 1: the Moon. Now today we are rudderless in our mission.

1232
01:06:58,640 --> 01:07:01,840
Speaker 1: We cannot decide who we are and why NASA thinks

1233
01:07:01,880 --> 01:07:03,600
Speaker 1: the coolest part of the moon mission is that a

1234
01:07:03,640 --> 01:07:06,240
Speaker 1: woman and a person of color will be there. Great,

1235
01:07:06,280 --> 01:07:09,160
Speaker 1: I guess. Meanwhile, Jeff Bezos is trying to get a

1236
01:07:09,160 --> 01:07:12,240
Speaker 1: contract to further his ego, and lo and behold, the

1237
01:07:12,360 --> 01:07:15,240
Speaker 1: date that we're supposed to keep land keeps getting pushed

1238
01:07:15,400 --> 01:07:19,840
Speaker 1: back and back oligarchic corruption is seeping into what would

1239
01:07:19,840 --> 01:07:22,840
Speaker 1: be a titanic and awesome feat of engineering and a

1240
01:07:22,880 --> 01:07:26,040
Speaker 1: hopeful leap forward from mankind. And it just shows you

1241
01:07:26,400 --> 01:07:29,280
Speaker 1: that little that we really have progressed since the nineteen sixties,

1242
01:07:29,560 --> 01:07:32,240
Speaker 1: as billionaire Peter Teal is famous for saying, we were

1243
01:07:32,280 --> 01:07:35,160
Speaker 1: promised flying cars. Instead all we got was one hundred

1244
01:07:35,160 --> 01:07:37,600
Speaker 1: and forty characters. And it didn't have to be this way.

1245
01:07:37,760 --> 01:07:39,920
Speaker 1: We can still fulfill our destiny. It's just going to

1246
01:07:40,000 --> 01:07:42,320
Speaker 1: take some work here at home to actually get there.

1247
01:07:42,520 --> 01:07:44,520
Speaker 1: And Crystal, I mean, what does it tell you that

1248
01:07:44,600 --> 01:07:48,120
Speaker 1: Bezos's ego and his lawsuit literally costs us a year

1249
01:07:48,200 --> 01:07:54,080
Speaker 1: in terms of landing on the fascinating new study out

1250
01:07:54,120 --> 01:07:59,040
Speaker 1: of Jacobin about what sort of messaging and priorities actually

1251
01:07:59,440 --> 01:08:01,920
Speaker 1: moves working class voters. We have a lot of debates

1252
01:08:01,920 --> 01:08:04,480
Speaker 1: about this, of course online and elsewhere, so they've got

1253
01:08:04,480 --> 01:08:07,920
Speaker 1: some actual data to back it up that is truly fascinating.

1254
01:08:08,000 --> 01:08:09,480
Speaker 1: Joining us to talk about that is one of the

1255
01:08:09,480 --> 01:08:13,680
Speaker 1: co authors of that study, Dustin Gastella. He is not

1256
01:08:13,720 --> 01:08:15,480
Speaker 1: only co author of the study but also director of

1257
01:08:15,520 --> 01:08:19,000
Speaker 1: operations for Teamsters Local six ' two three in Philadelphia.

1258
01:08:19,040 --> 01:08:21,639
Speaker 1: Great to see you friends. Hey, good to see you man. Hey,

1259
01:08:21,680 --> 01:08:23,920
Speaker 1: thanks for having you guys. Absolutely, just give us the

1260
01:08:23,960 --> 01:08:26,920
Speaker 1: basics of how this study, because it's pretty unique, was

1261
01:08:27,040 --> 01:08:29,680
Speaker 1: constructed and what you hope to learn from it, and

1262
01:08:29,760 --> 01:08:33,360
Speaker 1: then we can get into the results. Right. So, you know,

1263
01:08:33,439 --> 01:08:36,320
Speaker 1: we were thinking a lot about this major question. I

1264
01:08:36,320 --> 01:08:39,840
Speaker 1: think it's a huge question in progressive politics, democratic politics,

1265
01:08:40,400 --> 01:08:43,320
Speaker 1: about why it is that Democrats are losing so many

1266
01:08:43,680 --> 01:08:47,200
Speaker 1: working class voters, even though many of the policies that

1267
01:08:47,479 --> 01:08:51,120
Speaker 1: Democrats would forward are actually quite popular with working class voters.

1268
01:08:51,479 --> 01:08:53,840
Speaker 1: So we wanted to figure out what was going on here,

1269
01:08:53,880 --> 01:08:56,960
Speaker 1: and we figured that many of the polling firms that

1270
01:08:57,000 --> 01:09:00,479
Speaker 1: are currently trying to answer this question we go about

1271
01:09:00,520 --> 01:09:03,559
Speaker 1: it in a kind of half hearted way. They present

1272
01:09:04,200 --> 01:09:07,000
Speaker 1: voters with a policy and they tell them do you

1273
01:09:07,120 --> 01:09:10,040
Speaker 1: like this policy, yes or no? Or they present voters

1274
01:09:10,080 --> 01:09:11,680
Speaker 1: with a sound bite and they say do you like

1275
01:09:11,720 --> 01:09:13,760
Speaker 1: this sound bite? Yes or no? So you get all

1276
01:09:13,800 --> 01:09:16,479
Speaker 1: these mix of political messages and it's really hard to

1277
01:09:16,479 --> 01:09:19,040
Speaker 1: make sense of why is medicare for all so popular,

1278
01:09:19,040 --> 01:09:21,439
Speaker 1: but Medicare for all candidates can't win in swing states?

1279
01:09:21,680 --> 01:09:24,599
Speaker 1: Why is it that progressive policies are popular across the country,

1280
01:09:24,800 --> 01:09:27,559
Speaker 1: but only progressives can get elected in deep blue areas.

1281
01:09:27,920 --> 01:09:31,960
Speaker 1: So we decided to try to create full candidate profiles

1282
01:09:32,360 --> 01:09:35,519
Speaker 1: to actually test what swing state working class voters like,

1283
01:09:35,960 --> 01:09:38,439
Speaker 1: what kind of candidates they gravitate toward, what kind of

1284
01:09:38,479 --> 01:09:41,240
Speaker 1: messaging they like, and what kind of platforms they like.

1285
01:09:41,479 --> 01:09:43,719
Speaker 1: And that's what we did. We tested about two thousand

1286
01:09:43,960 --> 01:09:47,720
Speaker 1: swing state voters without college degrees to see what kind

1287
01:09:47,760 --> 01:09:50,160
Speaker 1: of candidates. We put them up against thousands of head

1288
01:09:50,200 --> 01:09:52,360
Speaker 1: to head candidates to see what kind of candidates they

1289
01:09:52,360 --> 01:09:55,599
Speaker 1: most preferred. Right and Dusin. What really caught my eye

1290
01:09:55,640 --> 01:09:58,040
Speaker 1: when I was reading through the takeaways here is that

1291
01:09:58,120 --> 01:10:01,560
Speaker 1: working class voters prefer progressive of candidates who focus primarily

1292
01:10:01,600 --> 01:10:05,280
Speaker 1: on bread and butter economic issues, who frame those issues

1293
01:10:05,360 --> 01:10:09,400
Speaker 1: in universal terms. This is especially true outside deep blue

1294
01:10:09,479 --> 01:10:11,160
Speaker 1: parts of the country. What do you guys mean by that?

1295
01:10:11,280 --> 01:10:14,320
Speaker 1: I think is a profound takeaway. So this shouldn't be

1296
01:10:14,400 --> 01:10:16,519
Speaker 1: too surprising. I mean, I think it's something that people

1297
01:10:16,520 --> 01:10:19,639
Speaker 1: have known for quite some time that economic working class

1298
01:10:19,680 --> 01:10:22,360
Speaker 1: issues appeal to working class voters. What I think is

1299
01:10:22,439 --> 01:10:24,799
Speaker 1: novel here is that we are saying, you know, taking

1300
01:10:24,840 --> 01:10:28,160
Speaker 1: things back to the language of the civil rights movement.

1301
01:10:28,200 --> 01:10:31,960
Speaker 1: The language of the New Deal framing things in universal terms,

1302
01:10:31,960 --> 01:10:34,080
Speaker 1: that is, these programs are going to help all of us.

1303
01:10:34,320 --> 01:10:36,719
Speaker 1: These programs are going to help the entire working class,

1304
01:10:36,760 --> 01:10:39,240
Speaker 1: and not this or that group of the working class,

1305
01:10:39,320 --> 01:10:41,759
Speaker 1: and not this or that section of the working class.

1306
01:10:41,760 --> 01:10:43,559
Speaker 1: But it's going to lift up everybody, and we're all

1307
01:10:43,560 --> 01:10:46,960
Speaker 1: in this together. That kind of universal messaging pulls really

1308
01:10:46,960 --> 01:10:49,519
Speaker 1: well among this group. It pulls very strongly among swing

1309
01:10:49,600 --> 01:10:53,040
Speaker 1: state working class voters. I think it's also really important

1310
01:10:53,080 --> 01:10:56,000
Speaker 1: to point out that what you say here is that

1311
01:10:56,000 --> 01:10:59,559
Speaker 1: that doesn't mean you have to abandon social justice, doesn't

1312
01:10:59,600 --> 01:11:02,040
Speaker 1: mean that you don't talk about civil rights or race

1313
01:11:02,080 --> 01:11:05,360
Speaker 1: at all. But it's important not only how you talk

1314
01:11:05,400 --> 01:11:08,559
Speaker 1: about it, but also which issues you put as the

1315
01:11:08,720 --> 01:11:11,680
Speaker 1: focus and the centerpiece of your campaign. Just talk to

1316
01:11:11,760 --> 01:11:14,639
Speaker 1: us about what you found there. Yeah, this is something

1317
01:11:14,640 --> 01:11:17,080
Speaker 1: that I think is really an important part of the

1318
01:11:17,120 --> 01:11:19,640
Speaker 1: study and an important part of our findings. You know,

1319
01:11:19,680 --> 01:11:23,440
Speaker 1: a lot of what you'll hear, especially around the Clintonian

1320
01:11:23,479 --> 01:11:26,799
Speaker 1: Democrat world back you know ten years ago it's different today,

1321
01:11:27,320 --> 01:11:29,240
Speaker 1: is that you can't talk about race or racism. You

1322
01:11:29,240 --> 01:11:31,479
Speaker 1: can't talk about civil rights, you can't talk about sexism

1323
01:11:31,520 --> 01:11:34,400
Speaker 1: because these things are things that piss off working class

1324
01:11:34,400 --> 01:11:37,519
Speaker 1: white voters, right. We didn't find that to be true.

1325
01:11:37,800 --> 01:11:41,120
Speaker 1: What we found is that if you make that your campaign,

1326
01:11:41,560 --> 01:11:44,799
Speaker 1: if that is the thing that overshadows what you're actually

1327
01:11:44,840 --> 01:11:48,400
Speaker 1: trying to do from a policy perspective and for them

1328
01:11:48,439 --> 01:11:52,000
Speaker 1: and their pocket books and their wallets, then you're going

1329
01:11:52,040 --> 01:11:54,719
Speaker 1: to lose. So you need to be able to frame

1330
01:11:54,760 --> 01:11:57,600
Speaker 1: these things as a way of part of your campaign,

1331
01:11:57,680 --> 01:12:00,759
Speaker 1: part of what you're doing to offer a holistic program

1332
01:12:00,800 --> 01:12:04,559
Speaker 1: of working class strength, rather than make this the entirety

1333
01:12:04,600 --> 01:12:06,840
Speaker 1: of your campaign. And I think that's significant. I think

1334
01:12:06,880 --> 01:12:09,200
Speaker 1: what it says is that the civil rights victories of

1335
01:12:09,200 --> 01:12:12,639
Speaker 1: the mid century have been one we have now moved

1336
01:12:12,680 --> 01:12:15,840
Speaker 1: into an era where we have an electorate that is

1337
01:12:16,040 --> 01:12:21,040
Speaker 1: broadly liberal on these questions, that broadly accepts the want

1338
01:12:21,080 --> 01:12:24,240
Speaker 1: and desire for social justice across a lot of different

1339
01:12:24,640 --> 01:12:28,759
Speaker 1: areas of our lives. But they also recognize the material

1340
01:12:29,040 --> 01:12:33,320
Speaker 1: frustrations of being somebody who doesn't have enough money to

1341
01:12:33,360 --> 01:12:35,760
Speaker 1: pay the mortgage, or is struggling with bills, or is

1342
01:12:35,760 --> 01:12:38,479
Speaker 1: struggling with rent or these other things. And so you

1343
01:12:38,560 --> 01:12:40,920
Speaker 1: need to be able to center those economic issues. If

1344
01:12:40,960 --> 01:12:42,680
Speaker 1: you want to win these voters, right, And you know,

1345
01:12:42,760 --> 01:12:44,640
Speaker 1: one line that really struck out to me was this

1346
01:12:44,760 --> 01:12:48,640
Speaker 1: blue collar workers are especially sensitive to candidate messaging and

1347
01:12:48,720 --> 01:12:52,320
Speaker 1: respond even more acutely to the differences between populous and

1348
01:12:52,479 --> 01:12:55,880
Speaker 1: woke language. Can you give us some examples. Yeah, So,

1349
01:12:56,000 --> 01:12:58,760
Speaker 1: if you look at some of our talking points, we

1350
01:12:58,800 --> 01:13:02,519
Speaker 1: took these talking points, these sound bites from a variety

1351
01:13:02,560 --> 01:13:07,320
Speaker 1: of candidates that we've seen, Iana Presley, Elizabeth Warren, Alexandria

1352
01:13:07,439 --> 01:13:10,559
Speaker 1: Casio Cortez, and we compare them to talking points from

1353
01:13:10,600 --> 01:13:15,599
Speaker 1: what we would consider mainstream or populist democrats like Biden

1354
01:13:15,720 --> 01:13:19,000
Speaker 1: or Bernie. And when you look at and compare these things,

1355
01:13:19,360 --> 01:13:21,879
Speaker 1: the sort of woke democrat on the moderate or progressive

1356
01:13:21,920 --> 01:13:24,639
Speaker 1: side are people who are framing things in a way

1357
01:13:24,680 --> 01:13:28,280
Speaker 1: to talk to very particular groups, particular issues, either racial

1358
01:13:28,280 --> 01:13:32,920
Speaker 1: minorities or sexual minorities, or you know, even folks with disabilities,

1359
01:13:32,920 --> 01:13:35,439
Speaker 1: these sorts of things. But they're framing things in a

1360
01:13:35,439 --> 01:13:37,479
Speaker 1: way that says these are the groups that are the

1361
01:13:37,479 --> 01:13:40,879
Speaker 1: center of politics, right, and then they're using a language

1362
01:13:40,880 --> 01:13:44,040
Speaker 1: on top of that that is basically stuck in the universities.

1363
01:13:44,240 --> 01:13:48,040
Speaker 1: It's very heavy, heavy to understand it's very activist jargoning,

1364
01:13:48,200 --> 01:13:49,599
Speaker 1: and it doesn't make a lot of sense if you're

1365
01:13:49,640 --> 01:13:52,559
Speaker 1: not somebody who went to college. So if you compare

1366
01:13:52,600 --> 01:13:55,080
Speaker 1: that with the kind of talking points that you see

1367
01:13:55,080 --> 01:13:58,920
Speaker 1: Bernie and Biden using, those talking points are much more favorable.

1368
01:13:59,120 --> 01:14:01,439
Speaker 1: And then the difference between the Bernie and Biden talking

1369
01:14:01,479 --> 01:14:04,839
Speaker 1: points or the populist progressive talking point, and the moderate

1370
01:14:04,880 --> 01:14:09,280
Speaker 1: mainstream talking point are that the populist actually names an enemy, right.

1371
01:14:09,320 --> 01:14:11,960
Speaker 1: The populace says the elites are the problem. We need

1372
01:14:12,000 --> 01:14:14,640
Speaker 1: working people to stand up against them. We believe that

1373
01:14:14,800 --> 01:14:17,840
Speaker 1: there's a real problem in this country between these two groups,

1374
01:14:17,880 --> 01:14:20,799
Speaker 1: and we need to fight together against them. That actually

1375
01:14:20,840 --> 01:14:23,439
Speaker 1: pulled better than the moderate message, which was about unity

1376
01:14:23,479 --> 01:14:25,639
Speaker 1: and coming together across the aisle and all that sort

1377
01:14:25,640 --> 01:14:29,200
Speaker 1: of stuff. And among blue collar manual workers, that was

1378
01:14:29,280 --> 01:14:31,920
Speaker 1: the biggest gap that we saw between the sort of

1379
01:14:31,920 --> 01:14:35,479
Speaker 1: work candidates and the populist or mainstreamings. But I do

1380
01:14:35,520 --> 01:14:39,679
Speaker 1: think it's important to say, based on these results, the

1381
01:14:39,680 --> 01:14:44,400
Speaker 1: more woke AOC type language, it does work pretty effectively

1382
01:14:44,520 --> 01:14:48,799
Speaker 1: if you're talking about urban or suburban areas, and especially

1383
01:14:48,840 --> 01:14:52,439
Speaker 1: if you have a majority minority district. So AOC's district

1384
01:14:52,479 --> 01:14:56,040
Speaker 1: I believe is majority minority. It's also urban, so it

1385
01:14:56,080 --> 01:14:58,360
Speaker 1: actually makes sense, based on your results, that she would

1386
01:14:58,400 --> 01:15:02,000
Speaker 1: do well there even and if that language, that sort

1387
01:15:02,040 --> 01:15:05,839
Speaker 1: of jargoning language has limited appeal on a national basis

1388
01:15:05,880 --> 01:15:08,080
Speaker 1: the way that you know, Bernie Sanders obviously, especially in

1389
01:15:08,120 --> 01:15:12,040
Speaker 1: twenty sixteen, had more appeal to white working class voters

1390
01:15:12,080 --> 01:15:16,080
Speaker 1: in the industrial Midwest. Yeah, I think that's right. I

1391
01:15:16,120 --> 01:15:18,400
Speaker 1: also think that, you know, our study didn't really go

1392
01:15:18,479 --> 01:15:21,760
Speaker 1: into depth on college educated urban voters, right, so we

1393
01:15:21,760 --> 01:15:24,160
Speaker 1: can't say much about those voters, and those are a big,

1394
01:15:24,280 --> 01:15:27,200
Speaker 1: a huge part of the Democratic coalition, and they shouldn't

1395
01:15:27,240 --> 01:15:29,880
Speaker 1: be considered, you know, all elites, right, many of those

1396
01:15:29,920 --> 01:15:31,400
Speaker 1: people who work for a living, many of those people

1397
01:15:31,400 --> 01:15:34,320
Speaker 1: who are working class. Our study was really focusing on

1398
01:15:34,600 --> 01:15:38,559
Speaker 1: that group that Democrats continue to lose, right, non college

1399
01:15:38,640 --> 01:15:40,880
Speaker 1: educated folks, and the one that can tip the balance

1400
01:15:40,920 --> 01:15:43,240
Speaker 1: of power, those in swing states. So this was really

1401
01:15:43,280 --> 01:15:45,240
Speaker 1: a study to try to figure out what it is

1402
01:15:45,439 --> 01:15:48,080
Speaker 1: that is most effective among that group. And this is

1403
01:15:48,400 --> 01:15:50,640
Speaker 1: this is what we found. And I think, though this

1404
01:15:50,760 --> 01:15:52,400
Speaker 1: is a hunch and it goes outside the scope of

1405
01:15:52,400 --> 01:15:55,559
Speaker 1: the study, I think that if we actually were to

1406
01:15:55,920 --> 01:15:59,680
Speaker 1: study many of the college educated and urban voters, we

1407
01:15:59,720 --> 01:16:03,040
Speaker 1: would find that a similar messaging convergence happens. I think

1408
01:16:03,080 --> 01:16:05,799
Speaker 1: they would probably prefer some more of the woke messaging.

1409
01:16:06,080 --> 01:16:08,439
Speaker 1: But my hunch is that the woke messaging and a

1410
01:16:08,479 --> 01:16:11,040
Speaker 1: lot of the you know, what we call woke today

1411
01:16:11,160 --> 01:16:13,240
Speaker 1: is a media phenomenon more than it is a voter

1412
01:16:13,320 --> 01:16:17,080
Speaker 1: phenomenon more than it is a constituency phenom So in

1413
01:16:17,120 --> 01:16:19,200
Speaker 1: the future, hopefully we'll do some studies on that. But

1414
01:16:19,240 --> 01:16:21,519
Speaker 1: that's just a hunter of mine. The other pison final

1415
01:16:21,600 --> 01:16:24,679
Speaker 1: question is like, you know, the reason you study there's

1416
01:16:24,680 --> 01:16:28,679
Speaker 1: a very specific reason why you studied working class voters

1417
01:16:28,720 --> 01:16:31,439
Speaker 1: who could be persuadable to these messages, because that's always

1418
01:16:31,439 --> 01:16:33,160
Speaker 1: so an important note. You sort of left out, like

1419
01:16:33,200 --> 01:16:35,160
Speaker 1: the hard conservatives who are never going to come over.

1420
01:16:35,200 --> 01:16:38,120
Speaker 1: You didn't focus on them. You focused on independence and

1421
01:16:38,200 --> 01:16:42,280
Speaker 1: democratic leaning working class voters who were gettable. What's the

1422
01:16:42,400 --> 01:16:46,479
Speaker 1: reason to care about whether that coalition is part of

1423
01:16:46,520 --> 01:16:50,479
Speaker 1: a progressive coalition or not, because that's another debate that happens.

1424
01:16:50,479 --> 01:16:51,960
Speaker 1: It's like, there are a lot of people who just

1425
01:16:51,960 --> 01:16:55,599
Speaker 1: want to lean into the college educated vote and forget

1426
01:16:55,640 --> 01:16:58,800
Speaker 1: about those white working class voters all together. Why is

1427
01:16:58,800 --> 01:17:02,439
Speaker 1: it important to care about what these people think? Yeah,

1428
01:17:02,479 --> 01:17:05,160
Speaker 1: I mean two simple reasons. One over sixty percent of

1429
01:17:05,160 --> 01:17:09,000
Speaker 1: the electorate is this group. Two over sixty percent of

1430
01:17:09,080 --> 01:17:12,880
Speaker 1: congressional seats are this group. So we need to if

1431
01:17:13,320 --> 01:17:16,200
Speaker 1: if progressives have any hope and prayer of being a

1432
01:17:16,200 --> 01:17:19,960
Speaker 1: majoritarian coalition, this is the bread and butter of that coalition.

1433
01:17:20,080 --> 01:17:21,879
Speaker 1: It needs to be at the center of the coalition.

1434
01:17:22,280 --> 01:17:25,160
Speaker 1: You cannot win a majority even if you get all

1435
01:17:25,560 --> 01:17:27,840
Speaker 1: of the college educated voters, which is impossible, but even

1436
01:17:27,840 --> 01:17:29,439
Speaker 1: if you got one hundred percent of them, you would

1437
01:17:29,439 --> 01:17:31,120
Speaker 1: not be able to win a majority. Even if you

1438
01:17:31,240 --> 01:17:32,920
Speaker 1: got all the cities, you would never be able to

1439
01:17:32,920 --> 01:17:35,519
Speaker 1: get a centate majority. So, if you're interested in swaying

1440
01:17:35,520 --> 01:17:37,599
Speaker 1: the balance of power in this country, which will admit

1441
01:17:37,680 --> 01:17:40,360
Speaker 1: is a totally screwed up federal system, but it's the

1442
01:17:40,400 --> 01:17:42,679
Speaker 1: system we have. If you're trying to sway the balance

1443
01:17:42,680 --> 01:17:45,320
Speaker 1: of power in that system, you need to win these voters.

1444
01:17:45,439 --> 01:17:47,200
Speaker 1: You need to be able to win a majority of

1445
01:17:47,240 --> 01:17:50,200
Speaker 1: them if you want to govern. I would also submit

1446
01:17:50,280 --> 01:17:52,759
Speaker 1: if you had a coalition of just college educated voters,

1447
01:17:52,760 --> 01:17:54,720
Speaker 1: you'd get some really shitty politics out of that it

1448
01:17:54,760 --> 01:17:59,120
Speaker 1: would also be also Gridge Dostin, thank you so much

1449
01:17:59,160 --> 01:18:02,280
Speaker 1: for breaking down these are results. It's really fascinating. I

1450
01:18:02,320 --> 01:18:04,960
Speaker 1: we should go check out the logger read because there

1451
01:18:05,080 --> 01:18:06,680
Speaker 1: was a lot that I got out of this. Really

1452
01:18:06,720 --> 01:18:08,200
Speaker 1: appreciate your time. I'm going to have a link in

1453
01:18:08,200 --> 01:18:11,639
Speaker 1: the description appreciated Dustin. Thank you, thanks uys our pleasure.

1454
01:18:12,080 --> 01:18:14,240
Speaker 1: Thank you guys so much for watching. We really appreciate it.

1455
01:18:14,520 --> 01:18:16,599
Speaker 1: You know, we've got awesome upgrades here. You guys all

1456
01:18:16,640 --> 01:18:19,240
Speaker 1: loved the new color and the new production results. We

1457
01:18:19,280 --> 01:18:21,040
Speaker 1: have a little bit of a hiccups and all that,

1458
01:18:21,120 --> 01:18:23,680
Speaker 1: but bear with us. It's all made possible because of

1459
01:18:23,720 --> 01:18:25,840
Speaker 1: your support, and we really appreciate it. We've got big

1460
01:18:25,880 --> 01:18:27,479
Speaker 1: things in the work, So if you can become a

1461
01:18:27,479 --> 01:18:30,000
Speaker 1: premium describer today, we would deeply appreciate it. Link is

1462
01:18:30,000 --> 01:18:32,479
Speaker 1: there in the description. Absolutely remember tomorrow to check out

1463
01:18:32,600 --> 01:18:35,720
Speaker 1: our partner segment with the daily Poster. They're always doing

1464
01:18:35,800 --> 01:18:38,000
Speaker 1: phenomenal work following the money, which, as we all know,

1465
01:18:38,400 --> 01:18:41,920
Speaker 1: is the real story of what is actually happening in Washington,

1466
01:18:42,000 --> 01:18:43,720
Speaker 1: d C. They've always got their eye on the ball.

1467
01:18:43,760 --> 01:18:46,519
Speaker 1: They're no pun intended. I all wait, I forgot to

1468
01:18:46,600 --> 01:18:49,080
Speaker 1: say Happy Veterans Day to all of those who served,

1469
01:18:49,080 --> 01:18:51,439
Speaker 1: and we specifically shouted out to the US Marines who

1470
01:18:51,439 --> 01:18:55,400
Speaker 1: watched the show. Happy Marine Cops Birthday to those who celebrate.

1471
01:18:55,680 --> 01:18:57,800
Speaker 1: That's all right, absolutely, guys, enjoy the weekend. We got

1472
01:18:57,880 --> 01:19:00,320
Speaker 1: lots of great content for you posting this again, and

1473
01:19:00,320 --> 01:19:01,679
Speaker 1: we will see you back here with a full show

1474
01:19:01,720 --> 01:19:12,759
Speaker 1: on Monday. Monday