1
00:00:00,200 --> 00:00:03,120
Speaker 1: Welcome to Worst Year Ever, a production of My Heart

2
00:00:03,240 --> 00:00:22,560
Speaker 1: Radio Welcome Together Everything, So don't don't hey, welcome back

3
00:00:22,600 --> 00:00:27,560
Speaker 1: to the Worst Year Ever. My name's it is? That

4
00:00:27,680 --> 00:00:30,080
Speaker 1: was a weird intro. No, it was great. Um, you

5
00:00:30,600 --> 00:00:33,040
Speaker 1: got my name out there. I introduced a show. What's

6
00:00:33,040 --> 00:00:37,440
Speaker 1: your name? Oh it's Cody Johnston. That's right, it is? Yes,

7
00:00:37,520 --> 00:00:42,000
Speaker 1: thank you and joining us as always is I'm dying,

8
00:00:43,080 --> 00:00:50,519
Speaker 1: is I'm dying. I'm Robert Evans, and I uh was

9
00:00:50,600 --> 00:00:52,879
Speaker 1: recovering from the crud that I caught from all of

10
00:00:52,880 --> 00:00:56,639
Speaker 1: those gun owners in Virginia, and uh then I had

11
00:00:56,680 --> 00:00:58,880
Speaker 1: to do a live show in San Francisco and just

12
00:00:59,080 --> 00:01:02,520
Speaker 1: ruined my my voice. So I am going to sit

13
00:01:02,560 --> 00:01:05,400
Speaker 1: back and listen to my friends today. I'm sure you'll

14
00:01:05,400 --> 00:01:07,559
Speaker 1: have some things to chirp in. I think you sound great,

15
00:01:07,600 --> 00:01:10,600
Speaker 1: but you sound beautiful. You look beautiful too. He's wrapped

16
00:01:10,640 --> 00:01:14,800
Speaker 1: up in a nice cozy robe. He's got his tissues. Um.

17
00:01:15,720 --> 00:01:18,039
Speaker 1: We miss you being here in l A for sure,

18
00:01:18,400 --> 00:01:23,000
Speaker 1: But at this moment, I'm glad you're there. Sorry. Yeah,

19
00:01:23,120 --> 00:01:24,880
Speaker 1: I would have gotten you all sick, and I would

20
00:01:24,880 --> 00:01:26,800
Speaker 1: have done it on purpose. I know, yeah, I know

21
00:01:26,880 --> 00:01:30,600
Speaker 1: you would have Germans, you'd be throwing your germs right

22
00:01:30,640 --> 00:01:37,600
Speaker 1: in our faces. Get your get your chucking germs out. Um.

23
00:01:38,680 --> 00:01:43,440
Speaker 1: So this week, uh, we wanted to dig a little

24
00:01:43,440 --> 00:01:48,320
Speaker 1: bit deeper into the differences between Bernie Sanders and Elizabeth Warren.

25
00:01:48,640 --> 00:01:51,840
Speaker 1: UM feels personally, I feel like I've been talking about

26
00:01:51,840 --> 00:01:54,200
Speaker 1: this a lot lately. Cody and I talked about it

27
00:01:54,560 --> 00:01:58,560
Speaker 1: a little bit on our other show last week. UM.

28
00:01:58,640 --> 00:02:01,600
Speaker 1: And I know it might see like we're harping on

29
00:02:01,720 --> 00:02:03,960
Speaker 1: Warren and Sanders a lot, which I guess we are,

30
00:02:04,200 --> 00:02:05,920
Speaker 1: But I think that's the majority of our listeners are

31
00:02:05,920 --> 00:02:10,040
Speaker 1: probably split between the two of them, and voting starts

32
00:02:10,040 --> 00:02:12,639
Speaker 1: for some of you guys like now, So it feels

33
00:02:12,639 --> 00:02:16,680
Speaker 1: like now is the time to have this conversation. Yeah, yeah,

34
00:02:16,720 --> 00:02:23,560
Speaker 1: that's fair. Um. And I think it's as conversations are good,

35
00:02:23,600 --> 00:02:26,000
Speaker 1: discourse is great. Everybody has a good time during it.

36
00:02:26,160 --> 00:02:31,440
Speaker 1: Nobody hates it, nobody gets m I think it's a

37
00:02:31,520 --> 00:02:35,799
Speaker 1: good Uh. It's a good time because it's a constant

38
00:02:35,840 --> 00:02:38,880
Speaker 1: reminder of the fact that this is the worst year

39
00:02:39,040 --> 00:02:42,919
Speaker 1: ever for everybody. And I know that in the past

40
00:02:42,960 --> 00:02:45,560
Speaker 1: few weeks at least for me, and leading into the

41
00:02:47,080 --> 00:02:50,760
Speaker 1: year that we're currently in. Uh, it has felt so

42
00:02:50,919 --> 00:02:53,720
Speaker 1: much like I don't always has a little bit like

43
00:02:54,480 --> 00:02:57,200
Speaker 1: never really ended, and it never really will. It never will.

44
00:02:57,240 --> 00:03:01,400
Speaker 1: We're stuck there and that's the o G. We're Yeah, yeah, absolutely,

45
00:03:01,560 --> 00:03:04,280
Speaker 1: it was the worst year, and we're reliving just like

46
00:03:04,520 --> 00:03:07,440
Speaker 1: heightened diversions of it every every year, so they do

47
00:03:07,560 --> 00:03:10,200
Speaker 1: get worse, see it worse. But that was like alright,

48
00:03:10,240 --> 00:03:13,839
Speaker 1: it's time. Yeah, it's time for only bad years from now. Yeah. Yeah,

49
00:03:13,919 --> 00:03:19,000
Speaker 1: this this conversation definitely feels like we're back in in

50
00:03:19,080 --> 00:03:22,639
Speaker 1: a lot of ways, um, especially now, like recently it's

51
00:03:22,680 --> 00:03:25,799
Speaker 1: been like, oh, by the way, we're gonna again. And

52
00:03:25,840 --> 00:03:27,840
Speaker 1: I guess part of the reason why I think it's

53
00:03:27,919 --> 00:03:30,960
Speaker 1: important I'm gonna spen it positive here is that it's

54
00:03:31,080 --> 00:03:34,640
Speaker 1: it's these actually are two of the most progressive presidential

55
00:03:34,720 --> 00:03:38,200
Speaker 1: candidates that we've ever seen, uh, and we're lucky to

56
00:03:38,240 --> 00:03:40,600
Speaker 1: have them. I think a lot of my frustration around

57
00:03:40,640 --> 00:03:42,440
Speaker 1: this conversation comes from the fact that a lot of

58
00:03:42,480 --> 00:03:45,040
Speaker 1: people seem to forget that really quickly. We're all very

59
00:03:45,120 --> 00:03:48,320
Speaker 1: quick to paint Warren as a liar and Bernie as

60
00:03:48,400 --> 00:03:50,840
Speaker 1: an asshole or whatever it is that people want to

61
00:03:50,880 --> 00:03:54,040
Speaker 1: frame Bernie as and the media exacerbates this and soon

62
00:03:54,040 --> 00:03:57,320
Speaker 1: everyone is just piste off of each other. And uh, yeah,

63
00:03:57,400 --> 00:03:59,240
Speaker 1: So I just wanted to say that take a moment

64
00:03:59,280 --> 00:04:02,240
Speaker 1: of appreciation and for being fortunate enough to have two

65
00:04:02,280 --> 00:04:06,000
Speaker 1: great candidates and to even be having these conversations, we

66
00:04:06,040 --> 00:04:08,160
Speaker 1: don't actually have to take a moment. Yeah, that was

67
00:04:08,200 --> 00:04:11,640
Speaker 1: a moment. Um. So you're saying that she's not necessarily

68
00:04:11,680 --> 00:04:14,680
Speaker 1: a neoliberal show and he's not necessarily a sexist anti

69
00:04:14,760 --> 00:04:17,240
Speaker 1: semit exactly. I think the truth is somewhere in the

70
00:04:17,320 --> 00:04:22,279
Speaker 1: middle there. Um. Also, I mean, this is a scary

71
00:04:22,360 --> 00:04:25,080
Speaker 1: conversation for me to have. Every time we talk about it,

72
00:04:25,120 --> 00:04:28,080
Speaker 1: I get a lot of ship online from some of

73
00:04:28,160 --> 00:04:32,000
Speaker 1: you guys, and Okay, we're all worked up about all

74
00:04:32,080 --> 00:04:34,560
Speaker 1: of it. But part of this conversation, I hope is

75
00:04:34,720 --> 00:04:38,160
Speaker 1: to like uh, dial show a way to have these

76
00:04:38,200 --> 00:04:42,120
Speaker 1: conversations in a more productive manner. Well, Katie, before you

77
00:04:42,240 --> 00:04:45,080
Speaker 1: get into it, I want to try and just detract

78
00:04:45,279 --> 00:04:49,040
Speaker 1: perhaps some some some heat from you by starting this

79
00:04:49,160 --> 00:04:53,120
Speaker 1: episode with my contention that Bernard Sanders was the real

80
00:04:53,480 --> 00:04:56,640
Speaker 1: gunman on the Grassy Knoll who shot dead JFK. God

81
00:04:57,760 --> 00:05:02,040
Speaker 1: statement not ted Cruiz's dead. No, No, Ted Cruise's dad

82
00:05:02,120 --> 00:05:08,360
Speaker 1: was the AMMO man though. Okay, that's called bipartisanship right there. Okay,

83
00:05:10,839 --> 00:05:13,560
Speaker 1: that's why Bernie should be president. He's gonna bring us

84
00:05:13,560 --> 00:05:16,760
Speaker 1: all together. It's just it's all full circle. And like

85
00:05:17,000 --> 00:05:19,080
Speaker 1: I also want to say, I I don't I still

86
00:05:19,120 --> 00:05:21,080
Speaker 1: don't know who I'm voting for. A lot of people

87
00:05:21,120 --> 00:05:23,440
Speaker 1: are like, oh, you're just you're only going to ever

88
00:05:23,520 --> 00:05:26,680
Speaker 1: vote for Warren. I think, like, no, I I feel

89
00:05:26,720 --> 00:05:29,240
Speaker 1: the need to defend her because I think that she

90
00:05:29,360 --> 00:05:33,840
Speaker 1: gets mischaracterized and I like her, but it doesn't mean

91
00:05:33,920 --> 00:05:38,000
Speaker 1: that I'm necessarily voting for her. So anyway, my two

92
00:05:38,080 --> 00:05:39,920
Speaker 1: cents on all that sense, because you're yeah, I mean,

93
00:05:40,240 --> 00:05:44,000
Speaker 1: like you're saying, like, she's not Hillary Clinton. There are

94
00:05:44,040 --> 00:05:46,760
Speaker 1: issues I have, but like it's not the same and

95
00:05:46,920 --> 00:05:49,600
Speaker 1: being seeing that it's treated as the same thing, it's

96
00:05:49,640 --> 00:05:53,640
Speaker 1: probably frustrating. So okay. Uh, Like I mentioned last week

97
00:05:53,680 --> 00:05:56,360
Speaker 1: on even More News, we talked about this whole he said,

98
00:05:56,680 --> 00:06:00,440
Speaker 1: she said, woman running for president controversying, and then we

99
00:06:00,520 --> 00:06:03,640
Speaker 1: had a larger conversation about the toxic climate online surrounding

100
00:06:03,640 --> 00:06:05,800
Speaker 1: this whole election and the sexism that we still seem

101
00:06:05,839 --> 00:06:08,400
Speaker 1: to be struggling with as a party. Um, And it

102
00:06:08,480 --> 00:06:10,159
Speaker 1: was an interesting conversation, and I think that a lot

103
00:06:10,200 --> 00:06:12,800
Speaker 1: of you guys also agreed us, so we wanted to

104
00:06:12,920 --> 00:06:15,800
Speaker 1: keep that going. Um. But yeah, if you if you

105
00:06:15,880 --> 00:06:18,400
Speaker 1: remember seeing and reported that last year, Elizabeth Warren and

106
00:06:18,400 --> 00:06:20,440
Speaker 1: Bernie Sanders had some sort of a meeting to discuss

107
00:06:20,480 --> 00:06:22,720
Speaker 1: policies and got into a dispute as to whether or

108
00:06:22,760 --> 00:06:25,839
Speaker 1: otto woman could win the presidency. Bernie denied the allegations,

109
00:06:25,880 --> 00:06:28,400
Speaker 1: saying that it was a discussion about how Trump would

110
00:06:28,440 --> 00:06:31,200
Speaker 1: manipulate any weaknesses. And again, I don't want to spend

111
00:06:31,200 --> 00:06:33,840
Speaker 1: too much time talking about this right now. Yeah, it

112
00:06:33,960 --> 00:06:37,440
Speaker 1: just really disappointed me how so many people's initial reaction

113
00:06:37,560 --> 00:06:40,560
Speaker 1: was to immediately jump to, uh, you know, she's a liar,

114
00:06:40,760 --> 00:06:43,200
Speaker 1: And then there was just this huge, aggressive and disproportionate

115
00:06:43,279 --> 00:06:47,800
Speaker 1: online blowback against her, like millions of snake emojis, hashtags

116
00:06:47,839 --> 00:06:52,200
Speaker 1: calling her allying snake, calling for rephones for their donations, etcetera. Um,

117
00:06:53,200 --> 00:06:56,760
Speaker 1: and I personally perceived the snake symbol as uh in

118
00:06:56,880 --> 00:07:00,560
Speaker 1: this specific context, as as being sexist. I know that

119
00:07:00,640 --> 00:07:03,480
Speaker 1: not everybody agrees with me. I know that you don't Cody. Um,

120
00:07:04,000 --> 00:07:06,919
Speaker 1: we can get into that if you want. But even

121
00:07:07,160 --> 00:07:12,200
Speaker 1: outside of that, to me, the immediately jumping to the

122
00:07:12,280 --> 00:07:15,200
Speaker 1: conclusion that she is the liar is kind of sexist.

123
00:07:15,680 --> 00:07:18,880
Speaker 1: It's like he said, she said situation, and immediately people

124
00:07:19,400 --> 00:07:23,520
Speaker 1: assumed that she is the wrong party in here. And

125
00:07:23,840 --> 00:07:25,640
Speaker 1: I think the truth of the matter is that it's

126
00:07:25,680 --> 00:07:27,960
Speaker 1: something that's much more great than that. I think that

127
00:07:28,000 --> 00:07:30,320
Speaker 1: they're probably both right in their perceptions of how that

128
00:07:30,360 --> 00:07:33,920
Speaker 1: conversation went. It's room, there's room for that. Yeah. Um,

129
00:07:34,120 --> 00:07:36,120
Speaker 1: I mean I think again, like we're not going to

130
00:07:36,200 --> 00:07:39,040
Speaker 1: get super into what we've already talked about, but I

131
00:07:39,200 --> 00:07:42,040
Speaker 1: think that my main a lot of my pushback was

132
00:07:42,080 --> 00:07:45,440
Speaker 1: about the media and how they framed it and how

133
00:07:45,480 --> 00:07:51,200
Speaker 1: they continued to frame it um, and how her response,

134
00:07:51,760 --> 00:07:56,040
Speaker 1: like during the debate was sort of an embrace of

135
00:07:56,360 --> 00:08:00,920
Speaker 1: the framing that CNN was going for, like the uh oh,

136
00:08:01,200 --> 00:08:03,360
Speaker 1: so Bernie, you're saying you didn't say this, Yeah I

137
00:08:03,400 --> 00:08:06,520
Speaker 1: didn't say that, Sota, what did you say when he

138
00:08:06,600 --> 00:08:09,320
Speaker 1: said that? And her response was, well, I disagreed. So

139
00:08:09,400 --> 00:08:12,960
Speaker 1: that's accepting the narrative that they're framing to get that answer.

140
00:08:13,160 --> 00:08:16,320
Speaker 1: And I think and the way my response to that

141
00:08:16,560 --> 00:08:19,440
Speaker 1: is like, yeah, I mean, if that's how she interpreted

142
00:08:19,480 --> 00:08:23,000
Speaker 1: this conversation, if that's how it plays out in her mind,

143
00:08:24,360 --> 00:08:26,520
Speaker 1: part of me is like, why should she be expected

144
00:08:26,600 --> 00:08:30,960
Speaker 1: to like back down from that. She's angry, but she didn't.

145
00:08:31,000 --> 00:08:32,559
Speaker 1: If she didn't like the story, then it was just

146
00:08:32,760 --> 00:08:37,800
Speaker 1: like a leaked story about her like private conversation. So

147
00:08:39,000 --> 00:08:40,280
Speaker 1: is it that a kind of thing where she's like,

148
00:08:40,440 --> 00:08:43,199
Speaker 1: I'm mad about this and I want to talk about it. Well,

149
00:08:43,240 --> 00:08:45,920
Speaker 1: she's being everybody's talking about it, and she's being put

150
00:08:46,000 --> 00:08:48,160
Speaker 1: on the spot to talk about it, and I think

151
00:08:48,200 --> 00:08:50,520
Speaker 1: that the whole conversation about it has been unfair and

152
00:08:50,600 --> 00:08:52,959
Speaker 1: she's probably even more angrying. I mean, that's reading into it.

153
00:08:53,280 --> 00:08:56,360
Speaker 1: That's my interpretation because to me, I'm just sitting here

154
00:08:56,520 --> 00:08:59,240
Speaker 1: imagining myself in that conversation and you're talking to one

155
00:08:59,280 --> 00:09:02,120
Speaker 1: of your dear friends where you're very much aligned and

156
00:09:02,760 --> 00:09:06,920
Speaker 1: being told as a woman that you can't do something

157
00:09:07,000 --> 00:09:10,400
Speaker 1: that you really want to do. It's humiliating. I would

158
00:09:10,440 --> 00:09:13,400
Speaker 1: feel humiliated if I was her and this story came

159
00:09:13,440 --> 00:09:16,320
Speaker 1: out and in that moment with somebody that she really respects,

160
00:09:16,720 --> 00:09:19,040
Speaker 1: I bet she was pissed. I don't think she leaked it.

161
00:09:19,240 --> 00:09:21,080
Speaker 1: I know that she talked about it like a year ago,

162
00:09:21,400 --> 00:09:24,439
Speaker 1: and then this story gets circulated again now at this

163
00:09:24,600 --> 00:09:26,880
Speaker 1: point in time. I have also said this on the

164
00:09:26,920 --> 00:09:29,720
Speaker 1: other show. The accusations that she did it on purpose

165
00:09:29,880 --> 00:09:33,719
Speaker 1: seemed really far fetched to me. Maybe somebody pushed it

166
00:09:33,920 --> 00:09:36,000
Speaker 1: from her side. Well, we don't see any evidence of

167
00:09:36,040 --> 00:09:38,360
Speaker 1: that from what I can tell. And she has running

168
00:09:38,400 --> 00:09:42,640
Speaker 1: a campaign that is so staunchly avoided this kind of

169
00:09:42,679 --> 00:09:44,719
Speaker 1: a conversation that it doesn't make sense to me, and

170
00:09:44,840 --> 00:09:49,120
Speaker 1: it's hurting her. It's hurting her. I I doesn't logically,

171
00:09:49,160 --> 00:09:52,000
Speaker 1: it doesn't make sense to me. I hear your argument that,

172
00:09:52,080 --> 00:09:53,960
Speaker 1: like you feel like she should have squashed it at

173
00:09:54,000 --> 00:09:58,120
Speaker 1: that moment. Yeah, maybe maybe maybe, but I don't know.

174
00:09:58,440 --> 00:10:00,640
Speaker 1: I don't know that I would have wanted to. I

175
00:10:01,000 --> 00:10:02,720
Speaker 1: think that I would be a little bit fed up.

176
00:10:03,440 --> 00:10:06,880
Speaker 1: And that's my Yeah, that's my perspective. By not squashing

177
00:10:06,920 --> 00:10:10,280
Speaker 1: it or not, like like by accepting their narrative. Like

178
00:10:10,480 --> 00:10:14,280
Speaker 1: later that day, CNN had a headline like, the candidates

179
00:10:14,320 --> 00:10:16,120
Speaker 1: debate on whether or not a woman can be president

180
00:10:16,400 --> 00:10:19,360
Speaker 1: and like literally nobody was debating that and that's obnoxious. Again,

181
00:10:19,440 --> 00:10:22,920
Speaker 1: and even like We've had this conversation about what Trump

182
00:10:22,960 --> 00:10:25,440
Speaker 1: will probably do uh in the election. As we saw

183
00:10:25,480 --> 00:10:29,679
Speaker 1: in sixteen two weeks before this big thing about this

184
00:10:29,800 --> 00:10:35,240
Speaker 1: private conversation between friends broke, Joe Biden on camera in

185
00:10:35,320 --> 00:10:37,800
Speaker 1: front of reporters for people to see, said the exact

186
00:10:37,880 --> 00:10:41,320
Speaker 1: same thing he said in Hillary Clinton had to deal

187
00:10:41,360 --> 00:10:43,439
Speaker 1: with a lot of sexism. I won't have to deal

188
00:10:43,520 --> 00:10:46,240
Speaker 1: with that. It's the same thing, and nobody cares. Nobody

189
00:10:46,280 --> 00:10:48,240
Speaker 1: brought it up. It's not the thing, um, So I

190
00:10:48,800 --> 00:10:53,480
Speaker 1: so it's I'm always I'm just I completely agree with

191
00:10:53,559 --> 00:10:58,079
Speaker 1: you about that. I think that that's bizarre and uh

192
00:10:58,440 --> 00:11:02,079
Speaker 1: and blatant moves by the media and all of this,

193
00:11:02,200 --> 00:11:04,599
Speaker 1: and they certainly exacerbated this, but I want us to

194
00:11:04,720 --> 00:11:07,920
Speaker 1: be able to see it happening and to not immediately

195
00:11:08,040 --> 00:11:11,080
Speaker 1: jump to attacking the woman and then women and people

196
00:11:11,160 --> 00:11:15,360
Speaker 1: online that support them the woman in question, Like, it

197
00:11:15,520 --> 00:11:19,640
Speaker 1: just feels very ugly to me, um and personally, especially

198
00:11:19,720 --> 00:11:22,439
Speaker 1: in the in the thick of all that, I felt

199
00:11:22,480 --> 00:11:26,480
Speaker 1: like a little bit, a little bit betrayed in a way.

200
00:11:26,600 --> 00:11:29,760
Speaker 1: And that's the extreme version of it. Uh. You know,

201
00:11:30,000 --> 00:11:33,320
Speaker 1: when I think about people who I want, I assume

202
00:11:33,640 --> 00:11:37,679
Speaker 1: in general were allied with, UM are incapable of like

203
00:11:37,840 --> 00:11:40,880
Speaker 1: taking a step back and and and thinking about it

204
00:11:41,040 --> 00:11:45,360
Speaker 1: from a female perspective. This whole situation, just this situation, UM.

205
00:11:45,640 --> 00:11:51,079
Speaker 1: It it bothers me. And I've said this before, and

206
00:11:51,200 --> 00:11:54,720
Speaker 1: that's also this reaction kind of makes me think that, yeah,

207
00:11:54,840 --> 00:11:57,080
Speaker 1: a woman can't when in this climate if the people

208
00:11:57,160 --> 00:12:00,920
Speaker 1: on our side, UM are so quick to jump to

209
00:12:01,000 --> 00:12:05,160
Speaker 1: these conclusions about her. Yeah, I think a lot of

210
00:12:05,240 --> 00:12:09,280
Speaker 1: it might come down to the fact that, like we're

211
00:12:09,280 --> 00:12:12,160
Speaker 1: all having this filtered through the media that exists in

212
00:12:12,200 --> 00:12:15,040
Speaker 1: this country, in the mainstream media that exists in this country, UM,

213
00:12:15,280 --> 00:12:19,600
Speaker 1: which is not only bad at journalism, UM, but also

214
00:12:19,880 --> 00:12:25,319
Speaker 1: exists to stoke division and disagreement in discordance because that

215
00:12:25,559 --> 00:12:28,800
Speaker 1: makes for better television UM. And I think that's a

216
00:12:28,920 --> 00:12:31,240
Speaker 1: major factor and why this got out of hand as

217
00:12:31,320 --> 00:12:33,280
Speaker 1: quickly as it did. And I do think that it

218
00:12:33,400 --> 00:12:36,319
Speaker 1: may have and the impact of actually kind of exaggerating

219
00:12:36,720 --> 00:12:39,560
Speaker 1: how difficult it is for a woman to become president

220
00:12:39,640 --> 00:12:42,640
Speaker 1: in this country. UM. And And I will say it's

221
00:12:42,679 --> 00:12:45,079
Speaker 1: one of the few things that that makes me happy

222
00:12:45,320 --> 00:12:48,400
Speaker 1: that the media ecosystem in this nation is collapsing in

223
00:12:48,520 --> 00:12:52,120
Speaker 1: on itself. Like a dying star. Um. Because it's it's

224
00:12:52,280 --> 00:12:54,960
Speaker 1: very irresponsible, and I do think it's making it hard

225
00:12:55,080 --> 00:12:57,760
Speaker 1: for anyone to really know where the people of this

226
00:12:57,840 --> 00:13:01,160
Speaker 1: country lay on issues like this, and also is making

227
00:13:01,760 --> 00:13:04,200
Speaker 1: you know, is creating these sort of conflicts that would

228
00:13:04,240 --> 00:13:07,640
Speaker 1: not in a responsible media ecosystem, this never would have

229
00:13:07,679 --> 00:13:11,320
Speaker 1: been a story. Um. And I think that's frustrating. It's

230
00:13:11,320 --> 00:13:15,400
Speaker 1: as frustrating as, for example, the media's obsession with the

231
00:13:15,480 --> 00:13:18,960
Speaker 1: fact that Bernie Sanders used a man liquor carcano rifle

232
00:13:19,040 --> 00:13:22,480
Speaker 1: to shoot JFK when he was driving to Dallas. Um.

233
00:13:22,600 --> 00:13:24,760
Speaker 1: They won't show, yes, it's not a it's an Italian

234
00:13:24,840 --> 00:13:28,080
Speaker 1: made rifle, it's not an American made rifle. But if

235
00:13:28,120 --> 00:13:30,439
Speaker 1: you look at what was available on the civilian market

236
00:13:30,480 --> 00:13:33,400
Speaker 1: at that time and what was a coomfordable working man's

237
00:13:33,440 --> 00:13:38,079
Speaker 1: option for shooting the president exactly exactly Bernie Sanders, you know,

238
00:13:38,320 --> 00:13:42,440
Speaker 1: is going to pick like the affordable working person's choice,

239
00:13:42,559 --> 00:13:44,719
Speaker 1: you know, even if that means not buying American, and

240
00:13:44,840 --> 00:13:48,079
Speaker 1: I for one support that, thank you, Robert. It's like

241
00:13:48,160 --> 00:13:52,040
Speaker 1: I mean, is a campaign slogans not me, nobody, Nobody's president.

242
00:13:52,160 --> 00:13:56,240
Speaker 1: I'm a president killer. Um. I think that it that

243
00:13:56,360 --> 00:13:59,480
Speaker 1: we should transition to talking a little bit about Bernie

244
00:13:59,520 --> 00:14:02,400
Speaker 1: Brow since we've been talking about online climate, whether or

245
00:14:02,440 --> 00:14:07,560
Speaker 1: not they exist. Cody and I have slightly different perspectives. Well, also,

246
00:14:07,600 --> 00:14:11,400
Speaker 1: I'm going to speak about this, but also because I

247
00:14:12,480 --> 00:14:14,040
Speaker 1: sort of to your point where you're talking about like

248
00:14:14,080 --> 00:14:17,320
Speaker 1: you felt sort of betrayed by the reaction to the situation. Um,

249
00:14:17,400 --> 00:14:19,040
Speaker 1: I've also talked to a lot of women who felt

250
00:14:19,080 --> 00:14:21,440
Speaker 1: betrayed on the other side of it. I'm sure I

251
00:14:21,560 --> 00:14:24,400
Speaker 1: certainly don't speak for all women, right. Well, right, so,

252
00:14:24,480 --> 00:14:26,360
Speaker 1: I just wanted to make sure that I'm sort of

253
00:14:26,440 --> 00:14:29,520
Speaker 1: communicating that you're speaking for other ones exactly. Thank you,

254
00:14:29,720 --> 00:14:32,960
Speaker 1: Thank you, Cody for framing it like that. No problem, No,

255
00:14:33,120 --> 00:14:35,040
Speaker 1: but it's true. I I don't want to pretend like

256
00:14:35,240 --> 00:14:40,440
Speaker 1: I represent everybody. That's just my perspective, and um, I

257
00:14:42,400 --> 00:14:44,240
Speaker 1: a lot of people that I speak with, And granted

258
00:14:44,280 --> 00:14:47,080
Speaker 1: that's because you know you, I have my friends like

259
00:14:47,200 --> 00:14:49,040
Speaker 1: the people that I'm aligned with and you communicate with.

260
00:14:49,480 --> 00:14:53,600
Speaker 1: But it's difficult because again, Bernie and Elizabeth are two

261
00:14:53,600 --> 00:14:57,000
Speaker 1: great candidates, and I think a lot of people that

262
00:14:57,040 --> 00:15:01,560
Speaker 1: are still waffling between feel attack for still liking her,

263
00:15:02,000 --> 00:15:06,840
Speaker 1: and it becomes difficult for a lot of people, the

264
00:15:06,920 --> 00:15:09,560
Speaker 1: idea that it is difficult to say, like that they're

265
00:15:09,600 --> 00:15:12,680
Speaker 1: going to capitulate or whatever and start supporting Bernie. And

266
00:15:13,040 --> 00:15:17,720
Speaker 1: that's not fair, it's not good, you know. But I'm worry.

267
00:15:17,800 --> 00:15:21,200
Speaker 1: I worry about this dialogue alienating people, which again is

268
00:15:21,560 --> 00:15:24,160
Speaker 1: a good transition to talking about the whole Bernie bro

269
00:15:25,360 --> 00:15:29,960
Speaker 1: phenomenon um, the alleged phenomenon, alleged phenomenon. Cody does not

270
00:15:30,120 --> 00:15:33,920
Speaker 1: believe that it exists, or to the degree that they believe.

271
00:15:34,040 --> 00:15:38,640
Speaker 1: Let me please, I'm sorry. I think that sexism is

272
00:15:38,680 --> 00:15:44,120
Speaker 1: a problem in America, UM and the globe, and also

273
00:15:44,320 --> 00:15:50,480
Speaker 1: that every candidate has a very passionate, slash toxic supporters.

274
00:15:51,200 --> 00:15:53,920
Speaker 1: And I think that, uh, like I said, sex is

275
00:15:53,960 --> 00:15:57,280
Speaker 1: a problem, and uh, you can see it, and we'll

276
00:15:57,280 --> 00:15:58,880
Speaker 1: talk about this a little more later, but you can

277
00:15:58,920 --> 00:16:01,200
Speaker 1: see it from everyone. You can see it in every

278
00:16:01,320 --> 00:16:05,560
Speaker 1: person's campaign, all their supporters. UM. I think that the

279
00:16:06,520 --> 00:16:11,600
Speaker 1: Bernie Bro specific thing um is blown out of proportion,

280
00:16:11,800 --> 00:16:15,680
Speaker 1: like we've talked about by the media um to create

281
00:16:16,320 --> 00:16:21,440
Speaker 1: uh divisive narrative. And also because they hate Bernie Sanders specifically,

282
00:16:21,760 --> 00:16:26,240
Speaker 1: and I don't disagree with you that the media exacerbates

283
00:16:26,280 --> 00:16:28,800
Speaker 1: like I can't, don't, but I have such a different

284
00:16:28,840 --> 00:16:32,320
Speaker 1: experience than that, and and I think so many other

285
00:16:32,360 --> 00:16:35,200
Speaker 1: people do that. It's really hard to accept that because

286
00:16:35,320 --> 00:16:38,320
Speaker 1: I feel it very intensely, and I know, I know

287
00:16:38,520 --> 00:16:42,760
Speaker 1: that it's a problem across the board. Let me just

288
00:16:42,800 --> 00:16:45,280
Speaker 1: finish this point really quick. I know that it's a

289
00:16:45,360 --> 00:16:48,840
Speaker 1: problem across the board, and that sucks. We need to

290
00:16:48,960 --> 00:16:51,840
Speaker 1: stop it, stop talking to each other like this. But specifically,

291
00:16:51,920 --> 00:16:55,280
Speaker 1: there are a lot of people that feel and the

292
00:16:55,600 --> 00:16:58,240
Speaker 1: Bernie we don't have to call Bernie bros. That's offensive name.

293
00:16:58,280 --> 00:17:01,920
Speaker 1: Now it's become pejorative. But like you know, there's an

294
00:17:01,960 --> 00:17:09,240
Speaker 1: aggressive type of reaction online particularly and it's very alienating,

295
00:17:09,320 --> 00:17:13,480
Speaker 1: it's very offensive. It's hard for me to accept that

296
00:17:13,760 --> 00:17:15,880
Speaker 1: it's all just the media because I see it every

297
00:17:16,000 --> 00:17:18,840
Speaker 1: day personally, and I know that a lot of other

298
00:17:18,880 --> 00:17:21,240
Speaker 1: people do as well. Um yeah, well, and that's I

299
00:17:21,280 --> 00:17:24,680
Speaker 1: mean again, I'm not speaking for I've I've just seen

300
00:17:24,760 --> 00:17:29,159
Speaker 1: so many, uh so many women online who are like

301
00:17:29,480 --> 00:17:33,200
Speaker 1: Bernie Sanders fans who have just like screen grabs and

302
00:17:33,200 --> 00:17:35,360
Speaker 1: screen grabs of the exact same thing that you're describing.

303
00:17:35,880 --> 00:17:40,080
Speaker 1: Sum and it's hard to gauge, like like I do,

304
00:17:40,200 --> 00:17:42,320
Speaker 1: see so many, so many takes of like, yeah, it's

305
00:17:42,359 --> 00:17:44,800
Speaker 1: a problem in general, but it's worse with Bernie Sanders.

306
00:17:45,600 --> 00:17:48,560
Speaker 1: I haven't seen there's no data on that. It's all

307
00:17:49,720 --> 00:17:51,200
Speaker 1: how do you gauge that? It's all just sort of

308
00:17:51,240 --> 00:17:55,879
Speaker 1: this anecdotal thing um And I think that having that claim,

309
00:17:56,040 --> 00:17:58,359
Speaker 1: and like you'll see, especially in the past like a

310
00:17:58,400 --> 00:18:02,280
Speaker 1: week and a half, uh is Sanders is growing and

311
00:18:02,400 --> 00:18:05,359
Speaker 1: growing in the polls and popularity. There have been like

312
00:18:05,640 --> 00:18:09,480
Speaker 1: five articles about Bernie bros Sure, and I think that's

313
00:18:09,520 --> 00:18:12,439
Speaker 1: all they have. And that's why I resisted so much,

314
00:18:12,520 --> 00:18:18,680
Speaker 1: especially the name, because it it I hear like, well, no,

315
00:18:18,800 --> 00:18:20,520
Speaker 1: it's not even because it's not. I don't think it's

316
00:18:20,560 --> 00:18:22,440
Speaker 1: a Bernie thing. I think it's just like there's there's

317
00:18:22,440 --> 00:18:26,320
Speaker 1: sexism and misogyny, and some of them happen to support him,

318
00:18:26,600 --> 00:18:29,600
Speaker 1: but it's not a him problem. He's like the only

319
00:18:29,680 --> 00:18:33,840
Speaker 1: candidate who's actually but he's the only candidate who's who

320
00:18:34,000 --> 00:18:36,960
Speaker 1: said like, don't do it. He's the only one about it.

321
00:18:37,040 --> 00:18:39,760
Speaker 1: It's great. I'm not blaming Bernie. I'm talking about us.

322
00:18:39,880 --> 00:18:43,160
Speaker 1: What can we do to control ourselves as we navigate

323
00:18:43,200 --> 00:18:45,960
Speaker 1: the worst year ever. If you do not want that label,

324
00:18:46,040 --> 00:18:48,320
Speaker 1: what can we do not to put that all on you?

325
00:18:48,680 --> 00:18:52,480
Speaker 1: Universal you? What can we do to detract from the

326
00:18:52,560 --> 00:18:56,359
Speaker 1: potency of this story? How can we behave better to

327
00:18:56,520 --> 00:18:59,439
Speaker 1: each other? And it's not just Bernie people, Sure, how

328
00:18:59,480 --> 00:19:02,200
Speaker 1: can we all do that? But it's indisputable that this

329
00:19:02,320 --> 00:19:05,600
Speaker 1: exists because people are are passionate about their candidate and

330
00:19:05,640 --> 00:19:09,320
Speaker 1: I love that, especially people from marginalized communities that see

331
00:19:09,440 --> 00:19:11,639
Speaker 1: him as like being a real shot. I get that.

332
00:19:12,280 --> 00:19:15,400
Speaker 1: But there there's a problem right now with how we're

333
00:19:15,400 --> 00:19:17,680
Speaker 1: talking about it. And yes, the media is exacerbating it.

334
00:19:17,720 --> 00:19:19,879
Speaker 1: So let's take the power away from it. Let's stop

335
00:19:20,119 --> 00:19:22,119
Speaker 1: doing it. Well, So I guess that's I mean, I

336
00:19:22,280 --> 00:19:24,760
Speaker 1: don't disagree with anything you said. I just think that

337
00:19:24,920 --> 00:19:28,520
Speaker 1: part of the problem is literally the term and what

338
00:19:28,640 --> 00:19:31,080
Speaker 1: we're talking about now. It's still being framed like this

339
00:19:31,400 --> 00:19:36,480
Speaker 1: Bernie brow thing. In uh twenty eight there are articles

340
00:19:36,480 --> 00:19:40,480
Speaker 1: about Obama boys and like, again, it's not. And but

341
00:19:40,640 --> 00:19:43,800
Speaker 1: then they're also like all articles about like Clinton supporters

342
00:19:43,840 --> 00:19:46,720
Speaker 1: posting child porn and Facebook groups to get them banned

343
00:19:46,760 --> 00:19:49,880
Speaker 1: and things. It's everywhere. It's not this thing. I think

344
00:19:49,960 --> 00:19:52,119
Speaker 1: part of how we talk to each other better is

345
00:19:52,160 --> 00:19:57,720
Speaker 1: not uh, it is using this framework that the media

346
00:19:57,960 --> 00:20:02,480
Speaker 1: is starving for step that it it's it's for a

347
00:20:02,560 --> 00:20:04,840
Speaker 1: lot of us. It feels much more potent within the

348
00:20:04,960 --> 00:20:09,680
Speaker 1: Bernie movement. And again I understand why, and I understand

349
00:20:09,880 --> 00:20:12,880
Speaker 1: and you see it differently. I mean, if you we're

350
00:20:12,920 --> 00:20:16,160
Speaker 1: supporting Warren, maybe you would feel more of that heat

351
00:20:16,240 --> 00:20:18,639
Speaker 1: online and you would have a different perspective. But I

352
00:20:18,760 --> 00:20:20,840
Speaker 1: accept what you're saying. I understand where you're coming from.

353
00:20:20,920 --> 00:20:22,840
Speaker 1: We have to take a break now. This has been

354
00:20:23,000 --> 00:20:25,840
Speaker 1: so fun so far. Though it's one of the best

355
00:20:26,359 --> 00:20:30,280
Speaker 1: days of the best year. It's been as fun as

356
00:20:30,800 --> 00:20:34,600
Speaker 1: when Bernie Sanders and Ted Cruz's father teamed up to

357
00:20:35,560 --> 00:20:37,879
Speaker 1: give this nation a little shot in the arm, just

358
00:20:38,000 --> 00:20:41,359
Speaker 1: a little, just a little how do you do? Uh? Cool?

359
00:20:41,920 --> 00:20:44,359
Speaker 1: You know? Products and services? And then more of this

360
00:20:49,400 --> 00:20:58,560
Speaker 1: together everything don't cool. We're back on that break, more

361
00:20:59,560 --> 00:21:03,080
Speaker 1: of our restation. We're gonna move on to other fresh

362
00:21:03,119 --> 00:21:06,200
Speaker 1: new topics soon. But real quick, Uh, Cody, why don't

363
00:21:06,200 --> 00:21:08,600
Speaker 1: you talk to us about that New York Times article? Yeah?

364
00:21:08,720 --> 00:21:13,120
Speaker 1: So this this is a recent New York Times article

365
00:21:13,200 --> 00:21:14,960
Speaker 1: that came out about Bernie Bros. And it's one of

366
00:21:15,040 --> 00:21:17,959
Speaker 1: again many that came out recently because they're all very

367
00:21:18,040 --> 00:21:22,080
Speaker 1: very scared UM. And I think it's very indicative of

368
00:21:22,359 --> 00:21:25,919
Speaker 1: kind of the problem with just like accepting this narrative

369
00:21:25,960 --> 00:21:30,680
Speaker 1: wholesale and and I personally am I'm just resistant to

370
00:21:30,880 --> 00:21:34,240
Speaker 1: it because I know what they're doing. Um. This New

371
00:21:34,320 --> 00:21:38,760
Speaker 1: York Times piece about the Bernie's Army of trolls is

372
00:21:39,200 --> 00:21:42,040
Speaker 1: it's written by three people. It seems like a lot

373
00:21:42,240 --> 00:21:45,840
Speaker 1: for an article about Bernie Bros. But that's fine, and

374
00:21:46,480 --> 00:21:48,840
Speaker 1: they're just these some passages in there that I think

375
00:21:48,880 --> 00:21:52,200
Speaker 1: are very interesting. But one one of their main sources

376
00:21:52,280 --> 00:21:55,760
Speaker 1: for this article, uh was a woman named Candice Um

377
00:21:55,920 --> 00:21:58,800
Speaker 1: and it was about all the abuse she's gotten harassment UM.

378
00:21:59,119 --> 00:22:02,000
Speaker 1: And one thing they don't seem to mention is that

379
00:22:02,080 --> 00:22:06,040
Speaker 1: she is like a notorious troll who harrasses people online. UM.

380
00:22:06,359 --> 00:22:10,479
Speaker 1: They're like writers for other publications who've talked about how

381
00:22:10,880 --> 00:22:14,320
Speaker 1: she after they blocked her, she would send them emails

382
00:22:14,359 --> 00:22:18,680
Speaker 1: and go to their other social media platforms to like

383
00:22:18,800 --> 00:22:22,240
Speaker 1: harass them, which again is interest. So I'm gonna read

384
00:22:22,240 --> 00:22:26,120
Speaker 1: these passages real quick, um from the article. But it's

385
00:22:26,119 --> 00:22:28,720
Speaker 1: interesting that they didn't point out that she does the

386
00:22:28,800 --> 00:22:32,040
Speaker 1: exact same thing. And then like vicious like sexist things too.

387
00:22:32,240 --> 00:22:36,040
Speaker 1: There's a lot of sexism there, but this passage um

388
00:22:36,440 --> 00:22:41,080
Speaker 1: describing the behavior they swarm someone online more commonly, there

389
00:22:41,200 --> 00:22:44,280
Speaker 1: is a barrage of jabs and threats, sometimes framed as jokes.

390
00:22:44,320 --> 00:22:46,359
Speaker 1: If the targets a woman, and uh, it often is

391
00:22:46,400 --> 00:22:49,680
Speaker 1: these insults can veer towards her physical appearance. It just

392
00:22:49,720 --> 00:22:52,560
Speaker 1: sort of describes this behavior of Bernie Brow specifically, and

393
00:22:52,600 --> 00:22:56,639
Speaker 1: then there's this one short paragraph. His allies also argue

394
00:22:56,880 --> 00:22:59,200
Speaker 1: that online combat is not unique to the Sanders side,

395
00:22:59,240 --> 00:23:01,720
Speaker 1: with some high pro file women who support the senators

396
00:23:01,760 --> 00:23:04,320
Speaker 1: saying they've been attacked too. And I think the way

397
00:23:04,359 --> 00:23:08,520
Speaker 1: that they've phrased this is really interesting because on the

398
00:23:08,600 --> 00:23:13,840
Speaker 1: one hand, you have this article describing a behavior like

399
00:23:13,960 --> 00:23:15,560
Speaker 1: they do this, they do this, they do this, they

400
00:23:15,640 --> 00:23:19,359
Speaker 1: do this, and then there's this very short passage and

401
00:23:19,520 --> 00:23:25,120
Speaker 1: some people say that it's this, it's uh a descriptive

402
00:23:25,520 --> 00:23:28,760
Speaker 1: factual statements and then this sort of passive like and

403
00:23:28,840 --> 00:23:31,960
Speaker 1: then some people say that it's actually another thing. And

404
00:23:33,400 --> 00:23:36,760
Speaker 1: when you literally using a source that engages in that

405
00:23:36,880 --> 00:23:40,000
Speaker 1: exact BASI. And I'm not saying that a lot of

406
00:23:40,080 --> 00:23:43,680
Speaker 1: this like this is representative of what you've experienced or

407
00:23:43,760 --> 00:23:46,320
Speaker 1: like the kind of messages you get, but the way

408
00:23:46,400 --> 00:23:49,440
Speaker 1: they frame it. There's this one passage of describing John

409
00:23:49,600 --> 00:23:52,800
Speaker 1: Legend how he's going to vote for Warren, and he's like, hey,

410
00:23:52,800 --> 00:23:54,560
Speaker 1: and you know all the you know, I'm going to

411
00:23:54,680 --> 00:23:57,680
Speaker 1: vote for whoever in the primary. So everybody chill. To

412
00:23:57,800 --> 00:24:00,159
Speaker 1: quote New York Times, this did not necessarily lay end

413
00:24:00,240 --> 00:24:03,520
Speaker 1: with its intended audience. Quote some of you millionaires need

414
00:24:03,600 --> 00:24:05,919
Speaker 1: to realize that many of us actually need Bernie Sanders

415
00:24:06,000 --> 00:24:09,080
Speaker 1: to win the presidency. One account replied, we can't just chill.

416
00:24:09,760 --> 00:24:11,960
Speaker 1: And that's like their example of like, yeah, they should

417
00:24:11,960 --> 00:24:15,920
Speaker 1: have showed all of the snake poop emojis and stuff. Sure,

418
00:24:16,720 --> 00:24:18,760
Speaker 1: but even that so like this, I mean, we don't

419
00:24:18,760 --> 00:24:21,960
Speaker 1: need to talk about that much. But I this sending

420
00:24:22,000 --> 00:24:24,320
Speaker 1: snake emojis to a politician is like, I don't know

421
00:24:24,359 --> 00:24:28,639
Speaker 1: they're politician. Yeah, I think it's it really depends on

422
00:24:28,640 --> 00:24:30,199
Speaker 1: the context. But we don't need to get derailed by

423
00:24:30,240 --> 00:24:34,160
Speaker 1: that this article. I see what you're saying. Um, it's

424
00:24:34,680 --> 00:24:36,960
Speaker 1: one of the things that's frustrating to me about coverage

425
00:24:37,040 --> 00:24:39,560
Speaker 1: like that is that it it sort of acts as if,

426
00:24:39,960 --> 00:24:45,159
Speaker 1: um like, I've had responses where like I express an

427
00:24:45,200 --> 00:24:47,600
Speaker 1: opinion and get swarmed by a bunch of assholes who

428
00:24:48,720 --> 00:24:52,280
Speaker 1: are being wildly unreasonable and aggressive about it for basically

429
00:24:52,400 --> 00:24:56,359
Speaker 1: every opinion that I've ever expressed. Um Like, it's like

430
00:24:56,480 --> 00:24:59,119
Speaker 1: there's there's communities of like if you take a stance

431
00:24:59,320 --> 00:25:02,800
Speaker 1: on something on the damn Internet, um, you're going to

432
00:25:03,440 --> 00:25:05,520
Speaker 1: like there's a good chance you'll attract a bunch of

433
00:25:05,560 --> 00:25:08,960
Speaker 1: harassment from it, because that's the Internet. If you attack.

434
00:25:09,400 --> 00:25:12,960
Speaker 1: For example, if I insult Elon Musk, I will deal

435
00:25:13,080 --> 00:25:15,879
Speaker 1: with Elon Musk fan boys when I mentions if I

436
00:25:16,040 --> 00:25:18,520
Speaker 1: insult Andrew Yang, I will deal with Andrew Yang fan

437
00:25:18,600 --> 00:25:22,320
Speaker 1: boys in my mentions. And neither of those guys get

438
00:25:22,720 --> 00:25:25,080
Speaker 1: the New York Times being like, this is a problem

439
00:25:25,200 --> 00:25:28,200
Speaker 1: that that you know, Andrew Yang has to address, or

440
00:25:28,280 --> 00:25:31,199
Speaker 1: this is a problem that Elon Musk has to address. Um.

441
00:25:31,520 --> 00:25:34,200
Speaker 1: But it's treated as if it's like some unique aspect

442
00:25:34,280 --> 00:25:36,960
Speaker 1: of the Sanders campaign, when I don't think it is.

443
00:25:37,040 --> 00:25:39,119
Speaker 1: I think it's just the fact that like it's a

444
00:25:39,160 --> 00:25:42,080
Speaker 1: it's an it's fandom. Bernie has a dedicated fandom, and

445
00:25:42,160 --> 00:25:46,439
Speaker 1: dedicated fans will do abusive, shitty things to people who

446
00:25:46,480 --> 00:25:48,600
Speaker 1: attack the thing that they the thing that they're a

447
00:25:48,640 --> 00:25:51,680
Speaker 1: fan of. And that's true of Bernie. It's also true

448
00:25:51,720 --> 00:25:56,760
Speaker 1: of for example, Star Wars. Yeah, I mean, or Donald Trump.

449
00:25:57,040 --> 00:25:59,280
Speaker 1: It's true. You know, you're you're both right about that.

450
00:26:00,040 --> 00:26:03,000
Speaker 1: But I think it's undeniable how much of it is

451
00:26:03,080 --> 00:26:06,640
Speaker 1: happening right now around this conversation and around Bernie. I mean, yes,

452
00:26:07,160 --> 00:26:08,520
Speaker 1: you put it something out there, and you're going to

453
00:26:08,600 --> 00:26:10,440
Speaker 1: get responses from people. You're putting it out there, and

454
00:26:10,720 --> 00:26:12,320
Speaker 1: who knows what's who's going to read it, and some

455
00:26:12,359 --> 00:26:14,119
Speaker 1: people are gonna agree with you and some people aren't.

456
00:26:14,640 --> 00:26:17,159
Speaker 1: It feels unique to me, and I've been on a

457
00:26:17,200 --> 00:26:21,199
Speaker 1: woman online for a long time now around this conversation,

458
00:26:21,920 --> 00:26:24,280
Speaker 1: I mean, just the nature of a lot of the responses.

459
00:26:24,320 --> 00:26:27,280
Speaker 1: How about how many people respond to me saying that

460
00:26:27,400 --> 00:26:31,000
Speaker 1: Cody needs to talk sense and to me, that's fucking sexist.

461
00:26:31,880 --> 00:26:34,440
Speaker 1: I'm sorry. I don't get that from other people and

462
00:26:34,520 --> 00:26:37,960
Speaker 1: other conversations and other candidates anyway. Now I'm getting worked

463
00:26:38,000 --> 00:26:40,159
Speaker 1: up about it, but yeah, I hear you. I I

464
00:26:40,280 --> 00:26:43,120
Speaker 1: think that there wouldn't be that different of a reaction

465
00:26:43,600 --> 00:26:46,280
Speaker 1: if you were a man and we had this disagreement

466
00:26:46,359 --> 00:26:48,600
Speaker 1: on and talked about on the podcast a lot. Maybe

467
00:26:48,800 --> 00:26:51,840
Speaker 1: I don't know, Katie and your soft brain have Cody

468
00:26:52,000 --> 00:26:55,440
Speaker 1: talks some sense and do you does not feel necessarily

469
00:26:55,520 --> 00:27:00,280
Speaker 1: like phrasing someone and would say to every person Internet,

470
00:27:00,920 --> 00:27:04,200
Speaker 1: it's like, it's like, do not mean to make this

471
00:27:04,280 --> 00:27:07,320
Speaker 1: heated and personal. I'm sorry for that, but I agree

472
00:27:07,359 --> 00:27:09,320
Speaker 1: with you and I think and I do think it's

473
00:27:09,320 --> 00:27:11,080
Speaker 1: a problem across the board. And that's why I said

474
00:27:11,119 --> 00:27:13,879
Speaker 1: what I said earlier, which is that I I wanted

475
00:27:13,920 --> 00:27:15,600
Speaker 1: to be better within the Bernie camp, but I also

476
00:27:15,640 --> 00:27:17,240
Speaker 1: wanted to be better across the board with all of

477
00:27:17,359 --> 00:27:19,320
Speaker 1: us in this conversation. But I think that we should

478
00:27:19,320 --> 00:27:21,359
Speaker 1: move on to other topics. How do you guys feel

479
00:27:21,359 --> 00:27:23,560
Speaker 1: about that? You don't want to have more fun? I

480
00:27:23,640 --> 00:27:24,879
Speaker 1: do want to. I want to have more fun with

481
00:27:25,000 --> 00:27:28,879
Speaker 1: other things. UM, let's talk about some endorsements that they

482
00:27:28,960 --> 00:27:31,320
Speaker 1: both have been getting because they've both had a big week.

483
00:27:32,240 --> 00:27:35,560
Speaker 1: A lot of people have attacked Bernie for accepting the

484
00:27:35,720 --> 00:27:40,280
Speaker 1: endorsement of the Dallas Book Depository, but you know it's

485
00:27:40,359 --> 00:27:42,840
Speaker 1: done a lot for him over the years. The only

486
00:27:42,960 --> 00:27:48,600
Speaker 1: endorsement they've ever given, they've ever given, and I think

487
00:27:48,880 --> 00:27:50,360
Speaker 1: we should be able to move on as a nation

488
00:27:50,400 --> 00:27:52,320
Speaker 1: at this point. I accept that I agree with you.

489
00:27:53,080 --> 00:27:57,159
Speaker 1: Let's uh talk about the des Moines register because Warren

490
00:27:57,600 --> 00:27:59,679
Speaker 1: scored that one this week. It's a pretty big deal

491
00:27:59,720 --> 00:28:04,320
Speaker 1: because hidering that the Iowa caucus is just days away. Um.

492
00:28:04,760 --> 00:28:05,960
Speaker 1: You know, at the top of the article they have

493
00:28:06,000 --> 00:28:08,719
Speaker 1: a list of the highlights, which include many of her

494
00:28:08,800 --> 00:28:12,240
Speaker 1: ideas aren't radical, they are right. Uh, she must show

495
00:28:12,280 --> 00:28:14,280
Speaker 1: that her vision will lift people up rather than divide them.

496
00:28:14,400 --> 00:28:16,280
Speaker 1: She cares about people, and she will use her seemingly

497
00:28:16,359 --> 00:28:19,080
Speaker 1: and endless energy and passion to fight for them. Um.

498
00:28:19,720 --> 00:28:22,359
Speaker 1: The outstanding caliber of Democratic candidates make it difficult to

499
00:28:22,440 --> 00:28:26,080
Speaker 1: choose just one. So I know you've got some thoughts

500
00:28:26,480 --> 00:28:29,480
Speaker 1: on this. Um. I'll just start by saying, I know

501
00:28:29,480 --> 00:28:31,399
Speaker 1: a lot of people have pointed to the many of

502
00:28:31,480 --> 00:28:35,000
Speaker 1: her her ideas aren't radical. Line is you know, kind

503
00:28:35,040 --> 00:28:38,000
Speaker 1: of proof that she's the more centrist of the candidate.

504
00:28:38,040 --> 00:28:42,320
Speaker 1: And I guess that's true of the two. And then

505
00:28:42,400 --> 00:28:44,280
Speaker 1: as we were going to talk about their different policies

506
00:28:44,360 --> 00:28:47,000
Speaker 1: soon and I think you'll see that they aren't that

507
00:28:47,400 --> 00:28:52,200
Speaker 1: much different. There's some like key differences. Um So to

508
00:28:52,320 --> 00:28:56,720
Speaker 1: me that she's not that her ideas aren't that radical

509
00:28:56,920 --> 00:29:00,280
Speaker 1: is like, well, she's really not that different than Bernie. Yeah.

510
00:29:00,280 --> 00:29:02,560
Speaker 1: Think it's more just like the phrasing of like clearly

511
00:29:02,600 --> 00:29:04,120
Speaker 1: like they're trying to be like, don't worry, she's not

512
00:29:04,160 --> 00:29:06,440
Speaker 1: that radical. She's like she used to be a Republican. Guys,

513
00:29:08,480 --> 00:29:10,720
Speaker 1: important to keep in mind that this is like a

514
00:29:10,840 --> 00:29:15,440
Speaker 1: much more conservative state, and you know, so they're trying

515
00:29:15,480 --> 00:29:20,400
Speaker 1: to appeal to who's the voters of this publication and

516
00:29:20,880 --> 00:29:23,920
Speaker 1: who vote there? Um, but yeah, go ahead and say

517
00:29:23,960 --> 00:29:26,040
Speaker 1: what your thoughts. Oh, I just I just wanted to

518
00:29:26,080 --> 00:29:29,600
Speaker 1: make a quick note about the Des Moines Register endorsement,

519
00:29:29,680 --> 00:29:34,080
Speaker 1: and I guess endorsements in general. Um uh so the

520
00:29:34,200 --> 00:29:38,400
Speaker 1: past candidates who have been endorsed by the Des Moines Register.

521
00:29:38,480 --> 00:29:41,719
Speaker 1: I'm gonna go back to like late eighties, I think, Um,

522
00:29:41,800 --> 00:29:47,480
Speaker 1: Paul Simon, not who you're thinking of, Paul Simon, Bob Dole,

523
00:29:47,960 --> 00:29:51,560
Speaker 1: Bill Bradley, George W. Bush, the second, I guess, Georgia

524
00:29:51,600 --> 00:29:54,920
Speaker 1: Lady Bush. I'm gonna start this list again. Hold on, uh,

525
00:29:55,280 --> 00:29:59,960
Speaker 1: Paul Simon, Bob Dole, Bill Bradley Bush to John Edward,

526
00:30:00,240 --> 00:30:02,080
Speaker 1: Hillary Clinton in two thousand and eight, as well as

527
00:30:02,400 --> 00:30:09,080
Speaker 1: John McCain, Clinton and Ruby On. So of all of those,

528
00:30:09,480 --> 00:30:11,960
Speaker 1: I think only two of them, actually one Iowa, like

529
00:30:12,160 --> 00:30:14,880
Speaker 1: the Iowa Caucus specifically, and of all of them, only

530
00:30:14,960 --> 00:30:18,640
Speaker 1: one was as was the president. Um. And we don't

531
00:30:18,680 --> 00:30:20,760
Speaker 1: need to talk about the two thousand election. But and

532
00:30:20,840 --> 00:30:22,440
Speaker 1: this isn't to say that like it's not cool that

533
00:30:22,520 --> 00:30:24,640
Speaker 1: she got it. Uh. There's a video of her learning

534
00:30:24,680 --> 00:30:27,840
Speaker 1: the news that's actually very very cute, um, and it's

535
00:30:27,920 --> 00:30:30,080
Speaker 1: like she's like really excited. It's like great uh for

536
00:30:30,160 --> 00:30:32,400
Speaker 1: the campaign. But and so I'm not saying like it

537
00:30:32,440 --> 00:30:35,240
Speaker 1: doesn't matter. I'm just saying that it's not like this

538
00:30:35,680 --> 00:30:39,200
Speaker 1: big thing. And endorsements in general these days, like the

539
00:30:39,240 --> 00:30:41,120
Speaker 1: New York Times endorsement where they split it down the

540
00:30:41,160 --> 00:30:43,480
Speaker 1: middle and they chose to and like they treated like

541
00:30:43,520 --> 00:30:46,360
Speaker 1: a reality show, uh, even though they hate the reality

542
00:30:46,400 --> 00:30:50,360
Speaker 1: show President. Um. This and sort of a little bit

543
00:30:50,440 --> 00:30:52,640
Speaker 1: about what Rob was talking about earlier, and just sort

544
00:30:52,680 --> 00:30:57,080
Speaker 1: of the the slow deterioration of uh, these institutions and

545
00:30:57,200 --> 00:30:59,840
Speaker 1: journalism in general. I think this is a good example

546
00:31:00,000 --> 00:31:02,840
Speaker 1: of it where like does it really matter? Does did

547
00:31:03,080 --> 00:31:05,960
Speaker 1: the endorsement move the needle at all for any Klobachar?

548
00:31:06,120 --> 00:31:09,680
Speaker 1: I doubt it? Um maybe maybe a few people, sure,

549
00:31:09,800 --> 00:31:14,000
Speaker 1: But but like just in general, uh, endorsements at all? Right,

550
00:31:14,360 --> 00:31:19,160
Speaker 1: anything like doing a whole like these are your endorsement points.

551
00:31:19,560 --> 00:31:23,400
Speaker 1: But it's two thousands, Uh, Donald Trump became the president?

552
00:31:23,840 --> 00:31:27,200
Speaker 1: Does any of this matter? Right? Another point? Another thing

553
00:31:27,280 --> 00:31:30,800
Speaker 1: that was included in this endorsement, uh, a qualification. Some

554
00:31:30,960 --> 00:31:34,200
Speaker 1: of her ideas for big structural change go too far.

555
00:31:34,520 --> 00:31:37,360
Speaker 1: This board could not endorse the wholesale overhaul of corporate

556
00:31:37,400 --> 00:31:41,200
Speaker 1: governance or cumulative levels of taxation she proposes. While the

557
00:31:41,240 --> 00:31:43,920
Speaker 1: board has long supported single payer health insurance, it believes

558
00:31:43,920 --> 00:31:47,760
Speaker 1: a gradual transition is more realistic approach. But Warren is

559
00:31:47,800 --> 00:31:53,160
Speaker 1: pushing in the right direction. Yeah. Basically, we're the New

560
00:31:53,240 --> 00:31:58,640
Speaker 1: York Times and we don't support doing anything. Uh this

561
00:31:58,800 --> 00:32:04,840
Speaker 1: is the register, yes, but consistent. Um. Yeah, you want

562
00:32:04,880 --> 00:32:09,880
Speaker 1: to say, oh yeah, I think that's it's we'll probably

563
00:32:09,880 --> 00:32:11,920
Speaker 1: talk about this a little bit more. And it's amazing

564
00:32:12,040 --> 00:32:15,080
Speaker 1: specific stuff. But like the phrasing pushing in the right direction,

565
00:32:15,120 --> 00:32:18,120
Speaker 1: I think it's a big distinction. There's between pushing in

566
00:32:18,120 --> 00:32:21,560
Speaker 1: the right direction and like doing the right thing, and

567
00:32:21,640 --> 00:32:22,880
Speaker 1: it's being like, no, this is what we're gonna do.

568
00:32:23,160 --> 00:32:25,120
Speaker 1: We're gonna fight for this thing that is right, as

569
00:32:25,120 --> 00:32:27,120
Speaker 1: opposed to we're going to push in the right direction.

570
00:32:27,400 --> 00:32:30,880
Speaker 1: You know, it's the the Buddha Judge plenty Bold kind

571
00:32:30,880 --> 00:32:33,200
Speaker 1: of I get why that's annoying, and I agree. I

572
00:32:33,240 --> 00:32:38,360
Speaker 1: don't like that part. Um. Let's talk about Bernie and

573
00:32:38,480 --> 00:32:44,120
Speaker 1: Joe Rogan, Joseph Joseph Joseph Biden net Rogan. Of course.

574
00:32:44,240 --> 00:32:48,280
Speaker 1: Earlier this week, Joseph Biden at Rogan endorsed Bernie Sanders.

575
00:32:48,320 --> 00:32:51,120
Speaker 1: I will say real quick, he didn't necessarily endorse him.

576
00:32:51,160 --> 00:32:54,840
Speaker 1: He said quote, I'm probably gonna vote for Bernie. Yeah,

577
00:32:55,160 --> 00:32:56,960
Speaker 1: we can play the clips, but we don't need to. Yeah,

578
00:32:57,040 --> 00:32:59,800
Speaker 1: And like it's you know obviously, like that's that's showing support.

579
00:32:59,840 --> 00:33:02,720
Speaker 1: And he went on to talk about it, but like this, like,

580
00:33:02,800 --> 00:33:09,360
Speaker 1: oh he endorsed him, No, okay, but an endorsement. I'll

581
00:33:09,400 --> 00:33:11,760
Speaker 1: probably vote for him. I don't know if that's an endorsement,

582
00:33:12,840 --> 00:33:19,200
Speaker 1: but he Joe Rogue endorsed him. Yeah, point taken, um,

583
00:33:20,520 --> 00:33:23,520
Speaker 1: And I don't have a problem with that. That's great.

584
00:33:24,000 --> 00:33:28,280
Speaker 1: The conversation about this was confusing online because like, that's

585
00:33:28,960 --> 00:33:32,480
Speaker 1: not a problem people are it's great. I don't know

586
00:33:34,640 --> 00:33:38,360
Speaker 1: people have been saying for a long time. Okay. So

587
00:33:38,520 --> 00:33:42,080
Speaker 1: a lot of the a lot of the blowback against

588
00:33:42,120 --> 00:33:44,000
Speaker 1: this came from the fact that Joe rokean has uh

589
00:33:44,320 --> 00:33:47,360
Speaker 1: said horrible things about trans people in the past, and

590
00:33:47,680 --> 00:33:49,640
Speaker 1: so there were folks being like, I don't know if

591
00:33:49,680 --> 00:33:52,760
Speaker 1: I'll vote for burning now that he's like, now that

592
00:33:52,880 --> 00:33:57,400
Speaker 1: he's uh touting this endorsement, and like what, I don't know,

593
00:33:57,520 --> 00:34:00,240
Speaker 1: Like it's one of those things where I didn't see

594
00:34:00,280 --> 00:34:05,000
Speaker 1: what Bernie like Bernie's the way he touted the the endorsement,

595
00:34:05,080 --> 00:34:08,360
Speaker 1: so to speak, was very carefully not endorsing Joe Rogan.

596
00:34:08,400 --> 00:34:11,560
Speaker 1: It was quoting Joe Rogan saying something nice about Bernie,

597
00:34:12,200 --> 00:34:15,239
Speaker 1: which I see is fine. Like, I get why people

598
00:34:15,239 --> 00:34:17,640
Speaker 1: are angry at Joe Rogan. I am permanently angry at

599
00:34:17,680 --> 00:34:22,680
Speaker 1: Joe Rogan, but I think it's shortsighted to take issue

600
00:34:22,880 --> 00:34:26,080
Speaker 1: with a guy that influential being like, yeah, I vote

601
00:34:26,120 --> 00:34:30,719
Speaker 1: for Bernie Sanders. That's a positive thing. That is a

602
00:34:30,760 --> 00:34:34,920
Speaker 1: positive thing. I have a slightly different perspective in that

603
00:34:36,800 --> 00:34:40,680
Speaker 1: I mean, I'm not extraordinarily pissed at Bernie for sharing,

604
00:34:40,800 --> 00:34:44,640
Speaker 1: for retweeting that. I don't think it was necessary. And

605
00:34:44,760 --> 00:34:47,920
Speaker 1: I think that again, we can't possibly speak for everybody

606
00:34:47,920 --> 00:34:50,480
Speaker 1: I've seen. I've tried to just participate, Like watch the

607
00:34:50,560 --> 00:34:55,439
Speaker 1: conversation unfold, you know, I think that it's I don't

608
00:34:55,480 --> 00:34:57,920
Speaker 1: think that they he gets more votes by sharing it.

609
00:34:58,239 --> 00:35:00,920
Speaker 1: I think that he offends a lot of people within

610
00:35:01,120 --> 00:35:02,520
Speaker 1: his base, and a lot of people aren't but a

611
00:35:02,560 --> 00:35:04,359
Speaker 1: lot of people don't care. But there are a lot

612
00:35:04,400 --> 00:35:08,320
Speaker 1: of people whose existence Joe Rogan kind of denies, and

613
00:35:09,200 --> 00:35:12,440
Speaker 1: that supporting him, and and I don't see what is

614
00:35:12,560 --> 00:35:16,320
Speaker 1: gained by that, because anybody following Bernie that likes Bernie

615
00:35:17,560 --> 00:35:21,520
Speaker 1: isn't convinced by Joe Rogan. The fact that Joe Rogan

616
00:35:21,760 --> 00:35:24,680
Speaker 1: said he's probably going to vote for him, great, that's

617
00:35:24,719 --> 00:35:28,160
Speaker 1: all that him him saying that on the show is

618
00:35:28,200 --> 00:35:30,919
Speaker 1: what does it? Also, like the conversation that they had

619
00:35:31,560 --> 00:35:33,600
Speaker 1: when he was on, and like the comments and that

620
00:35:33,640 --> 00:35:36,879
Speaker 1: it's like okay, yeah, it's clearly like it's an effective thing. Um,

621
00:35:37,000 --> 00:35:39,719
Speaker 1: And I think and like I totally understand, and I like,

622
00:35:39,800 --> 00:35:42,160
Speaker 1: I like you said, like I've mostly just been listening

623
00:35:42,160 --> 00:35:44,640
Speaker 1: to what people have to say about it. I've seen

624
00:35:44,880 --> 00:35:47,440
Speaker 1: a lot of people the trans community have issue with it,

625
00:35:47,600 --> 00:35:49,239
Speaker 1: and a lot of people not have issue with it.

626
00:35:49,560 --> 00:35:54,279
Speaker 1: I think what the better move is because it's not like, oh,

627
00:35:54,400 --> 00:35:58,399
Speaker 1: look we got Joe. It's presenting what he said and saying,

628
00:35:58,640 --> 00:36:02,680
Speaker 1: look at how convincing we are. It's not saying that like,

629
00:36:02,960 --> 00:36:04,880
Speaker 1: oh we got Joe and we like him, which they

630
00:36:04,920 --> 00:36:08,399
Speaker 1: didn't say, but it's presenting it like, look at how

631
00:36:08,480 --> 00:36:11,520
Speaker 1: effective this is deposit. That's something that surro gets and

632
00:36:11,719 --> 00:36:17,000
Speaker 1: what people can do like AOC and they could say

633
00:36:17,120 --> 00:36:19,960
Speaker 1: something like we there's since there's a little bit distance,

634
00:36:20,080 --> 00:36:22,880
Speaker 1: they can say something like we understand that Joe Rogan

635
00:36:23,640 --> 00:36:25,880
Speaker 1: maybe does we don't agree with him on all X,

636
00:36:26,000 --> 00:36:28,440
Speaker 1: Y or Z, but here's how we can abridge the divide.

637
00:36:28,520 --> 00:36:30,160
Speaker 1: We'd love to have AOC on the show so she

638
00:36:30,200 --> 00:36:32,240
Speaker 1: can talk to him about these issues, but we didn't

639
00:36:32,320 --> 00:36:35,920
Speaker 1: do that. That's not what happened. That's all. That's that's

640
00:36:35,960 --> 00:36:37,920
Speaker 1: my whole perspective. But I also don't think that it

641
00:36:38,000 --> 00:36:42,920
Speaker 1: makes that's inherently it just everything should come down and

642
00:36:42,960 --> 00:36:46,359
Speaker 1: not Yeah, everything should come down and notch Um because Yeah,

643
00:36:46,400 --> 00:36:50,399
Speaker 1: and I think it is a good point to say,

644
00:36:50,480 --> 00:36:53,040
Speaker 1: look at how convincing we are. There was no compromise there.

645
00:36:53,080 --> 00:36:56,640
Speaker 1: The platform hasn't changed, his opinions haven't changed. In order

646
00:36:56,680 --> 00:36:59,600
Speaker 1: to get Joe's endorsement, he stuck to his guns, and

647
00:37:00,000 --> 00:37:02,960
Speaker 1: that's what was convincing. Um. I think that's the argument.

648
00:37:03,040 --> 00:37:06,640
Speaker 1: They're not necessarily lifting up this. Uh you know, like

649
00:37:06,719 --> 00:37:09,800
Speaker 1: transphobic guy who's had a lot of like pretty horrible

650
00:37:09,840 --> 00:37:14,440
Speaker 1: people on the show to sort of spread their false message. Um.

651
00:37:15,239 --> 00:37:18,200
Speaker 1: Also just real quick on this issue. This is again,

652
00:37:18,680 --> 00:37:21,440
Speaker 1: like you said, like bring it down and notch everybody. Um.

653
00:37:21,800 --> 00:37:27,560
Speaker 1: And it's another example of uh never Trump Republicans, uh

654
00:37:27,960 --> 00:37:33,000
Speaker 1: centrist lib pundit folk two pounce on an issue and

655
00:37:33,360 --> 00:37:36,440
Speaker 1: use like the trans community and other communities as like

656
00:37:36,520 --> 00:37:41,239
Speaker 1: a cudgel to beat Bernie Sanders down. Yeah. I've I've

657
00:37:41,320 --> 00:37:47,080
Speaker 1: seen more rage about this, particularly from like kind of

658
00:37:47,160 --> 00:37:51,600
Speaker 1: centrist Democrat media people online, than over any of the awful,

659
00:37:51,640 --> 00:37:55,479
Speaker 1: actual awful things that Donald Trump has done to harm

660
00:37:55,560 --> 00:37:59,480
Speaker 1: trans people in the United States. M even like Hillary

661
00:37:59,520 --> 00:38:03,000
Speaker 1: Clinton had Democrat responsible to this. Yeah, Hillary Clint had

662
00:38:03,040 --> 00:38:07,200
Speaker 1: transport comments like earlier last year or like late last year. Um,

663
00:38:08,000 --> 00:38:11,839
Speaker 1: but that wasn't an issue yea, even though like uh

664
00:38:12,400 --> 00:38:16,600
Speaker 1: like a few days ago, uh like right after this happened. Uh,

665
00:38:16,800 --> 00:38:22,880
Speaker 1: Pete Buddha Jedge got endorsed by Charlemagne and and uh

666
00:38:23,320 --> 00:38:32,000
Speaker 1: it's the King of the not Charlemagne historical figure talking

667
00:38:32,000 --> 00:38:35,560
Speaker 1: about Charlotmagne and the god he hosts the Breakfast Club

668
00:38:36,280 --> 00:38:40,200
Speaker 1: radio stuff. Big Pete fan video of Pete with him

669
00:38:40,920 --> 00:38:43,919
Speaker 1: being like, look I got I got Charlemagne, and it's

670
00:38:44,120 --> 00:38:46,760
Speaker 1: just sort of it's it's literally like what did that happen?

671
00:38:46,920 --> 00:38:50,080
Speaker 1: I don't know, but it's like it's even it's a

672
00:38:50,160 --> 00:38:53,200
Speaker 1: further step from what the Bernie campaign did. It's him

673
00:38:53,239 --> 00:38:55,480
Speaker 1: literally in a video being like, look, I'm with him

674
00:38:55,520 --> 00:39:00,440
Speaker 1: and we're doing an event together. It is him like

675
00:39:00,600 --> 00:39:04,920
Speaker 1: really touting the endorsement. But like he's talked so he

676
00:39:05,000 --> 00:39:08,000
Speaker 1: said so many transphobic things in his career, Like two

677
00:39:08,080 --> 00:39:10,480
Speaker 1: years ago. He has this whole thing about how it's

678
00:39:10,520 --> 00:39:14,920
Speaker 1: okay if families want to keep their bloodline pure and

679
00:39:15,040 --> 00:39:17,759
Speaker 1: like compared it to like dog breeding and stuff. Just

680
00:39:17,880 --> 00:39:21,839
Speaker 1: like some pretty like racist transphobic stuff. Nobody cares. People

681
00:39:21,840 --> 00:39:23,680
Speaker 1: aren't making hay out of this they're not being like

682
00:39:23,760 --> 00:39:28,080
Speaker 1: Pete needs to denounce this pizza, Pete, Pete. And it's

683
00:39:28,120 --> 00:39:30,600
Speaker 1: because I don't think that. Yeah, I hear you. And

684
00:39:30,760 --> 00:39:33,640
Speaker 1: and it's just it's just another example like the using

685
00:39:33,880 --> 00:39:36,799
Speaker 1: these little things that that our conversation is worth having

686
00:39:37,480 --> 00:39:41,120
Speaker 1: U that the media pounces on and use it as

687
00:39:41,200 --> 00:39:46,279
Speaker 1: like we finally got them. They are problem. It's very frustrated. Um,

688
00:39:46,360 --> 00:39:48,920
Speaker 1: we gotta take a quick break for more products and services.

689
00:39:49,200 --> 00:40:03,800
Speaker 1: Welcome together ever back from that little break. I love breaks.

690
00:40:04,600 --> 00:40:07,720
Speaker 1: I love breaks as much as Bernie Sanders loves taking

691
00:40:07,760 --> 00:40:10,600
Speaker 1: the succession of American presidents into his own hands with

692
00:40:10,680 --> 00:40:14,279
Speaker 1: the cold steel of an Italian rifle. Um back into

693
00:40:14,320 --> 00:40:18,399
Speaker 1: the left, back into the far left, right, back back

694
00:40:18,480 --> 00:40:20,840
Speaker 1: into the far left. Which is actually not what happened

695
00:40:20,880 --> 00:40:24,600
Speaker 1: after the Kennedy A situation assassination anyway, Uh, I don't know.

696
00:40:24,680 --> 00:40:26,440
Speaker 1: Before we move on, I kind of wanted to talk

697
00:40:26,440 --> 00:40:30,120
Speaker 1: about something that frustrates me, just about the whole Joe

698
00:40:30,239 --> 00:40:35,320
Speaker 1: Rogan debate, which is, um, there are no debates h

699
00:40:36,360 --> 00:40:39,240
Speaker 1: on the other side about what works. It's just purely

700
00:40:39,320 --> 00:40:43,520
Speaker 1: a matter of taking and holding and exercising power. Um.

701
00:40:44,040 --> 00:40:47,960
Speaker 1: And I don't I'm not advocating uh like an embrace

702
00:40:48,160 --> 00:40:53,480
Speaker 1: of of soulless, sociopathic uh politics of power, because that's

703
00:40:53,600 --> 00:40:55,920
Speaker 1: not what I want the left to be. But I

704
00:40:56,000 --> 00:40:59,719
Speaker 1: think a little bit more pragmatism is warranted to where

705
00:40:59,760 --> 00:41:01,800
Speaker 1: we and say, like it would be one thing. I

706
00:41:01,800 --> 00:41:05,719
Speaker 1: wouldn't be suggesting this if, for example, sanders Head softened

707
00:41:05,719 --> 00:41:08,160
Speaker 1: at all his attitudes on trans rights to get Joe

708
00:41:08,239 --> 00:41:11,640
Speaker 1: Rogan's endorsement. But he didn't. He just connected with Rogan

709
00:41:11,719 --> 00:41:14,480
Speaker 1: and his audience about other things that they agreed on.

710
00:41:14,760 --> 00:41:19,440
Speaker 1: And I think that makes uh, like, that's how what

711
00:41:19,560 --> 00:41:22,719
Speaker 1: we should be doing. Um, you're not going to by

712
00:41:22,760 --> 00:41:28,279
Speaker 1: the time rolls around convince everybody that uh it's reasonable

713
00:41:28,320 --> 00:41:32,040
Speaker 1: to be pro choice or that uh, you know, trans

714
00:41:32,120 --> 00:41:34,600
Speaker 1: people's rights are as important as we think they are,

715
00:41:34,960 --> 00:41:37,399
Speaker 1: as long as you're not conceding those points. If you're

716
00:41:37,400 --> 00:41:41,040
Speaker 1: getting those people to buy onto other aspects of your agenda, um,

717
00:41:41,320 --> 00:41:44,560
Speaker 1: then it allows you to continue to support pro choice,

718
00:41:44,680 --> 00:41:48,640
Speaker 1: pro trans politics while also making other things happen, um

719
00:41:48,840 --> 00:41:51,799
Speaker 1: and protecting all of these different communities, and hopefully over

720
00:41:51,920 --> 00:41:56,279
Speaker 1: time changing the opinions of these people. UM. Right, you

721
00:41:56,320 --> 00:42:00,640
Speaker 1: bring them in that. Yeah, I agree. I totally agree.

722
00:42:00,760 --> 00:42:04,000
Speaker 1: And that's why I found the whole conversation to be frustrating.

723
00:42:04,080 --> 00:42:09,000
Speaker 1: It it's like we're focusing on the wrong things here. Um,

724
00:42:09,960 --> 00:42:14,120
Speaker 1: let's talk a little bit about their platforms and the

725
00:42:14,200 --> 00:42:16,200
Speaker 1: ways that they're different and everything on a few of

726
00:42:16,239 --> 00:42:19,520
Speaker 1: the key issues here. Um, Cody, you have been digging

727
00:42:19,520 --> 00:42:23,879
Speaker 1: into a little bit. Um. Um, we want to start

728
00:42:23,920 --> 00:42:27,160
Speaker 1: with a wealth tax. Yeah, I mean this is, uh,

729
00:42:27,440 --> 00:42:31,200
Speaker 1: I think just a representation of sort of the difference

730
00:42:31,320 --> 00:42:36,000
Speaker 1: between the two. Um. You know, they're this warrant support

731
00:42:36,000 --> 00:42:38,880
Speaker 1: of a wealth tax is great. Um, Bernie's is a

732
00:42:38,880 --> 00:42:43,120
Speaker 1: little more aggressive. Um. And yeah, and so that's a

733
00:42:43,200 --> 00:42:48,239
Speaker 1: conversation of like what to me, they're probably both off

734
00:42:48,280 --> 00:42:53,719
Speaker 1: putting to certain sex of the population. Yeah. His his

735
00:42:54,200 --> 00:42:57,120
Speaker 1: gets his kicks in at thirty two point one million,

736
00:42:58,239 --> 00:43:01,080
Speaker 1: hers kicks in at fifty at one million. UM. I

737
00:43:01,160 --> 00:43:04,440
Speaker 1: do think it's interesting if there's certain people I've noticed

738
00:43:05,120 --> 00:43:07,359
Speaker 1: leaning towards Warren and then you look at their net

739
00:43:07,400 --> 00:43:10,160
Speaker 1: worth and it's in that range, it's less than fifties,

740
00:43:10,200 --> 00:43:11,719
Speaker 1: Like oh, you just don't want anything to kick in

741
00:43:11,920 --> 00:43:15,000
Speaker 1: and not like maybe not, but like, uh, that's a

742
00:43:15,040 --> 00:43:18,720
Speaker 1: fun little game that is worth playing. If you notice

743
00:43:18,840 --> 00:43:22,319
Speaker 1: a rich person leaning towards Warren. Also his I mean,

744
00:43:22,400 --> 00:43:25,600
Speaker 1: his plan is a progressive tax um. So it's slowly,

745
00:43:26,040 --> 00:43:29,000
Speaker 1: you know, it goes up as the wealth increases, So

746
00:43:29,160 --> 00:43:31,800
Speaker 1: it you know, fifty millions two percent and then to

747
00:43:31,920 --> 00:43:36,440
Speaker 1: fifty millions three percent, whereas hers is just two and

748
00:43:36,520 --> 00:43:41,920
Speaker 1: three percent difference there, and obviously I goes up to

749
00:43:41,960 --> 00:43:47,640
Speaker 1: eight Yeah, tax them, tax fu. Um. You know, there

750
00:43:47,760 --> 00:43:51,640
Speaker 1: is conversation that I don't know, I don't know how

751
00:43:53,480 --> 00:43:57,640
Speaker 1: how much more likely people that are on the fence

752
00:43:58,680 --> 00:44:02,120
Speaker 1: are to vote for Warren on this issue versus Bernie.

753
00:44:02,320 --> 00:44:04,839
Speaker 1: You know, like what how does it affect the electability

754
00:44:05,080 --> 00:44:08,120
Speaker 1: question and all of that. I wish, you know, because

755
00:44:08,120 --> 00:44:10,160
Speaker 1: I think that both of those these plans would be great,

756
00:44:10,840 --> 00:44:13,040
Speaker 1: but obviously one is better, right. Well. I think also

757
00:44:13,200 --> 00:44:15,920
Speaker 1: like we consider like who we're even talking about, like

758
00:44:16,320 --> 00:44:18,560
Speaker 1: in terms of millionaires, I think it's like a little

759
00:44:18,600 --> 00:44:21,480
Speaker 1: less than like five percent of the country. UM. So

760
00:44:21,480 --> 00:44:25,120
Speaker 1: in terms of like who what kind of voters it attracts? Um?

761
00:44:26,040 --> 00:44:28,799
Speaker 1: I guess do we need to worry about that? Really? Um?

762
00:44:28,960 --> 00:44:31,120
Speaker 1: And even like I mean, we won't get too much

763
00:44:31,160 --> 00:44:35,000
Speaker 1: into their Wall Street stuff, but like, uh, I think

764
00:44:35,000 --> 00:44:39,000
Speaker 1: there's there's there's some hedging of bets and sort of like, okay,

765
00:44:39,040 --> 00:44:41,440
Speaker 1: well if it's going to be Burnie or warrant her

766
00:44:41,680 --> 00:44:45,360
Speaker 1: because it's less aggressive. I think there's one other dimension

767
00:44:45,480 --> 00:44:48,600
Speaker 1: to it, which is that, um Like, obviously I I

768
00:44:48,920 --> 00:44:52,719
Speaker 1: am more supportive of Bernie Sanders is wealth tax because

769
00:44:52,760 --> 00:44:56,640
Speaker 1: it's more aggressive. But I think based on the latest statistics,

770
00:44:56,680 --> 00:44:59,239
Speaker 1: I saw Warren's polls much better and it actually a

771
00:44:59,320 --> 00:45:02,040
Speaker 1: majority of her publicans are supportive of it. And so

772
00:45:02,200 --> 00:45:05,360
Speaker 1: I think if the goal is to start with start

773
00:45:05,440 --> 00:45:08,759
Speaker 1: wealth redistribution and show Americans that it can work and

774
00:45:08,840 --> 00:45:10,959
Speaker 1: that it can fund these programs that we've been saying

775
00:45:10,960 --> 00:45:14,400
Speaker 1: are necessary for so long, um, it's possible that Warren's

776
00:45:14,520 --> 00:45:17,839
Speaker 1: strategy is a better tactical move because it's easier to get,

777
00:45:18,120 --> 00:45:21,560
Speaker 1: for example, conservatives on board with and then convince them, no,

778
00:45:21,760 --> 00:45:24,560
Speaker 1: you guys actually like having free healthcare and stuff and

779
00:45:24,680 --> 00:45:27,320
Speaker 1: this you know doesn't harm it a like yeah, and

780
00:45:27,400 --> 00:45:30,120
Speaker 1: then we can you know, push from more aggressive wealth

781
00:45:30,160 --> 00:45:33,600
Speaker 1: taxes down the line. Um. But I think that's an

782
00:45:33,600 --> 00:45:36,399
Speaker 1: important kind of dimension. I think that with a few

783
00:45:36,440 --> 00:45:39,400
Speaker 1: of her policies that seems to be the conversation that

784
00:45:39,480 --> 00:45:42,440
Speaker 1: we should will be having in and honestly the conversation

785
00:45:42,480 --> 00:45:44,120
Speaker 1: that I think that we should be focusing on instead

786
00:45:44,160 --> 00:45:48,040
Speaker 1: of stuff that about how the candidates are or are

787
00:45:48,120 --> 00:45:50,120
Speaker 1: not arguing over whether or not a woman can be

788
00:45:50,160 --> 00:45:54,480
Speaker 1: the president. Um. You know, it's the same thing with

789
00:45:54,560 --> 00:45:56,520
Speaker 1: the Medica for all, Like what what is the best

790
00:45:56,719 --> 00:46:00,440
Speaker 1: path to getting these things? Um? And I know that

791
00:46:00,520 --> 00:46:03,279
Speaker 1: also you the conversation about whether or not we can

792
00:46:03,360 --> 00:46:06,799
Speaker 1: trust her gets wrapped up into this. Well, but yeah,

793
00:46:06,880 --> 00:46:08,560
Speaker 1: I think it's a really great point, Robert, and something

794
00:46:08,640 --> 00:46:13,560
Speaker 1: that I I'm still grappling with and trying to think about.

795
00:46:13,719 --> 00:46:16,440
Speaker 1: And and see, I'm so excited to start seeing how

796
00:46:16,960 --> 00:46:20,200
Speaker 1: these primaries are going to be playing out, um, and

797
00:46:20,360 --> 00:46:22,400
Speaker 1: and and to get an action, start to get a

798
00:46:22,480 --> 00:46:26,600
Speaker 1: real grasp on like what is resonating with people outside

799
00:46:26,600 --> 00:46:30,560
Speaker 1: of just statistics? Um, yeah, do you want to do

800
00:46:30,800 --> 00:46:33,680
Speaker 1: about Yeah? And I think this, I mean this is

801
00:46:33,880 --> 00:46:37,600
Speaker 1: also like I think there's something you consider in terms

802
00:46:37,640 --> 00:46:41,200
Speaker 1: of like aggressive or not aggressive and how that appeals

803
00:46:41,239 --> 00:46:47,520
Speaker 1: to voters versus how passible it is as actual legislation, um,

804
00:46:47,640 --> 00:46:51,279
Speaker 1: and getting conservatives to go along with it, and like, yeah,

805
00:46:51,280 --> 00:46:55,600
Speaker 1: it's all part of and like we've talked about before, basically,

806
00:46:56,400 --> 00:46:59,680
Speaker 1: no matter what you propose, it's more than likely that

807
00:46:59,800 --> 00:47:02,319
Speaker 1: you're going to get less than what you propose, um,

808
00:47:02,480 --> 00:47:06,279
Speaker 1: just because of how our system works. So pushing for

809
00:47:06,560 --> 00:47:08,400
Speaker 1: as far as you can and then having to be like,

810
00:47:08,400 --> 00:47:10,680
Speaker 1: all right, well it's not going to be as much.

811
00:47:10,800 --> 00:47:13,600
Speaker 1: I guess. I mean, I I hear that, I I

812
00:47:14,760 --> 00:47:18,520
Speaker 1: hear that. It's just so hard to know. Um. Yeah,

813
00:47:18,640 --> 00:47:23,200
Speaker 1: talk some more. Yeah, I mean all Medicare for All

814
00:47:23,239 --> 00:47:26,360
Speaker 1: I think is probably the biggest one and sort of

815
00:47:26,400 --> 00:47:29,480
Speaker 1: speaks to Yeah, this sort of general issue, like what

816
00:47:29,560 --> 00:47:32,560
Speaker 1: you were talking about of like Robert, how a case

817
00:47:32,640 --> 00:47:37,120
Speaker 1: could be made for doing something to convince people that

818
00:47:37,640 --> 00:47:41,799
Speaker 1: going further is good, where like for her Medicare for All,

819
00:47:41,960 --> 00:47:45,080
Speaker 1: which she does still say she sports is to pass

820
00:47:45,200 --> 00:47:48,200
Speaker 1: legislation to like bring the age down, have it uh

821
00:47:48,600 --> 00:47:53,440
Speaker 1: people update teams, and that's just after that transitioning well,

822
00:47:53,480 --> 00:47:57,799
Speaker 1: after that, there'd be another like vote to expand it um.

823
00:47:58,200 --> 00:48:02,000
Speaker 1: Which again I mean, there's a lot to say and

824
00:48:02,200 --> 00:48:04,400
Speaker 1: and and that's another one that I'm I'm I'm not

825
00:48:04,600 --> 00:48:09,360
Speaker 1: sure still where I fall as to what's the the

826
00:48:09,520 --> 00:48:13,080
Speaker 1: right path? Can we trust her that always comes up.

827
00:48:13,080 --> 00:48:14,719
Speaker 1: Can we trust that's what she's actually going to be

828
00:48:14,840 --> 00:48:18,279
Speaker 1: driving towards. I don't see any reason not to, but

829
00:48:18,360 --> 00:48:21,359
Speaker 1: I understand that concern. I personally don't see any reason

830
00:48:21,440 --> 00:48:23,960
Speaker 1: not to. UM. Then I hear you, like, is that

831
00:48:24,160 --> 00:48:26,279
Speaker 1: shooting ourselves in the foot with this conversation, with this

832
00:48:26,440 --> 00:48:30,680
Speaker 1: fight require mid terms to right in order to hear that?

833
00:48:31,840 --> 00:48:35,440
Speaker 1: Or is it realistically that's how it's going to take

834
00:48:35,520 --> 00:48:38,200
Speaker 1: even even with the Bernie presidency. How is he going

835
00:48:38,239 --> 00:48:41,640
Speaker 1: to get us there? Um? Is this a more palatable plan?

836
00:48:41,719 --> 00:48:45,719
Speaker 1: It's an actual plan. I'll give her that, you know, UM,

837
00:48:45,960 --> 00:48:48,000
Speaker 1: as to how we're going to achieve this thing that

838
00:48:48,640 --> 00:48:53,640
Speaker 1: the majority of Americans want? Um. And yeah, that's so

839
00:48:53,760 --> 00:48:58,080
Speaker 1: I don't know the answer to that. Yeah, it's uh,

840
00:48:59,120 --> 00:49:04,040
Speaker 1: it's a debate worth having. UM. I do question. Yeah,

841
00:49:04,160 --> 00:49:09,160
Speaker 1: just like if you're if you're uh starting at we're

842
00:49:09,200 --> 00:49:11,120
Speaker 1: gonna do care for all? And then the plan comes

843
00:49:11,160 --> 00:49:13,400
Speaker 1: out it's like actually this several step plan that requires

844
00:49:13,480 --> 00:49:16,399
Speaker 1: this one thing first and then this um and again

845
00:49:16,480 --> 00:49:18,959
Speaker 1: like mid term is going well? Um, and then also

846
00:49:19,040 --> 00:49:20,319
Speaker 1: sort of talking about how like well we're not going

847
00:49:20,360 --> 00:49:25,279
Speaker 1: to get everything done that we say, um, which that politics. Yeah. Um.

848
00:49:26,680 --> 00:49:29,839
Speaker 1: Then like personally, I'm like, well, just say you want

849
00:49:29,880 --> 00:49:33,320
Speaker 1: to do the thing and and do that, um, because

850
00:49:33,320 --> 00:49:34,880
Speaker 1: then I at least believe that you want to do

851
00:49:35,040 --> 00:49:37,959
Speaker 1: that as opposed to the sort of like well let's

852
00:49:38,000 --> 00:49:41,480
Speaker 1: talk about some more things student deb Yeah, I mean

853
00:49:42,320 --> 00:49:44,840
Speaker 1: student debt. And like again this is like they generally

854
00:49:44,920 --> 00:49:46,480
Speaker 1: agree on a lot of things. We want, you know,

855
00:49:46,920 --> 00:49:49,200
Speaker 1: get getrit of private prisons, like a lot of the

856
00:49:49,239 --> 00:49:54,959
Speaker 1: big issues that are now uh standard for like being

857
00:49:55,120 --> 00:49:57,320
Speaker 1: a democratic progressive and like wanting like we want to

858
00:49:57,320 --> 00:49:58,920
Speaker 1: get rid of private prisons, we want to do this,

859
00:49:59,000 --> 00:50:00,840
Speaker 1: we want to do something about client to change. Um.

860
00:50:00,920 --> 00:50:05,480
Speaker 1: It's just the degree and the plan and uh yeah,

861
00:50:05,880 --> 00:50:08,200
Speaker 1: and how they how are they how are they plan

862
00:50:08,360 --> 00:50:13,320
Speaker 1: to distribute the money? How they planned? Like like Bernie

863
00:50:13,320 --> 00:50:15,520
Speaker 1: wants to get rid of all student debt? Uh those

864
00:50:15,600 --> 00:50:17,399
Speaker 1: the one wants to get rid of most of student debt,

865
00:50:17,760 --> 00:50:23,080
Speaker 1: Like I think people people up to fifty dollars student debt. Um,

866
00:50:24,000 --> 00:50:30,120
Speaker 1: that's a distinction, um one. Like yeah, they're both good. Um,

867
00:50:30,200 --> 00:50:35,000
Speaker 1: it's how far you want to go? Um. Similarly, like

868
00:50:35,520 --> 00:50:39,320
Speaker 1: like with climate change, Uh yeah, so they've got different types,

869
00:50:40,000 --> 00:50:43,560
Speaker 1: different amount of amounts of money that they're proposing, but

870
00:50:43,719 --> 00:50:47,160
Speaker 1: a different approach. Yeah, Like Sanders all in on like

871
00:50:47,280 --> 00:50:48,920
Speaker 1: this idea of a green new deal, like here's our

872
00:50:48,960 --> 00:50:52,560
Speaker 1: climate change legislation, um, not the war like for that,

873
00:50:52,800 --> 00:50:54,879
Speaker 1: but she sort of packages a lot of it into

874
00:50:55,080 --> 00:50:57,720
Speaker 1: other plans where she's like and when talking about the military,

875
00:50:57,760 --> 00:51:02,239
Speaker 1: we're gonna do that. I I would like there'd be

876
00:51:02,280 --> 00:51:05,040
Speaker 1: more money in her plan, but I also think that

877
00:51:05,160 --> 00:51:09,920
Speaker 1: that's a really effective and important approach to this is

878
00:51:10,040 --> 00:51:14,160
Speaker 1: to integrate all of these things into different areas. It's

879
00:51:14,320 --> 00:51:16,040
Speaker 1: in everything, it's a part of everything. Yeah. I mean

880
00:51:16,040 --> 00:51:18,960
Speaker 1: there's a reason that like whenever they have debates, someone

881
00:51:19,120 --> 00:51:21,040
Speaker 1: ultimately is like, why aren't we talking about climate change?

882
00:51:21,120 --> 00:51:23,239
Speaker 1: Or like why aren't we talking about climate change in

883
00:51:23,320 --> 00:51:26,520
Speaker 1: relation to this question? Um? Oh, and so sixteen what

884
00:51:26,680 --> 00:51:28,840
Speaker 1: sixteen point three trillion versus three trillion, I think is

885
00:51:28,920 --> 00:51:32,520
Speaker 1: the planned difference, And I agree, I think it's Yeah,

886
00:51:32,560 --> 00:51:36,600
Speaker 1: it's important to have climate change in mind in all

887
00:51:36,680 --> 00:51:41,719
Speaker 1: these other departments and plans. Um. Like when Trump's new

888
00:51:41,760 --> 00:51:44,319
Speaker 1: trade deal came out, Bernie, the whole thing about how

889
00:51:44,560 --> 00:51:47,759
Speaker 1: this doesn't mention climate And that's the one of the

890
00:51:47,800 --> 00:51:50,360
Speaker 1: main things that I've been disappointed about with Warren is

891
00:51:50,600 --> 00:51:52,360
Speaker 1: that she did go along with it. And I get it,

892
00:51:52,480 --> 00:51:55,640
Speaker 1: like the hassle of passing a new trade deal down

893
00:51:55,680 --> 00:52:00,680
Speaker 1: the line and this whole I understand the reason why,

894
00:52:00,800 --> 00:52:03,759
Speaker 1: but I do think that, yeah, let's not pass one

895
00:52:03,800 --> 00:52:06,319
Speaker 1: until it includes it. I agree with that, right, Yeah,

896
00:52:06,480 --> 00:52:09,120
Speaker 1: and yeah, little things like that um and related to

897
00:52:09,120 --> 00:52:11,680
Speaker 1: climate change. Like I think another example of kind of

898
00:52:11,760 --> 00:52:15,840
Speaker 1: what we're talking about. Bernie's talked about prosecuting x On

899
00:52:15,960 --> 00:52:21,320
Speaker 1: Mobile and really going after these companies UM, and Warren

900
00:52:21,360 --> 00:52:24,520
Speaker 1: hasn't not done that, But her approach is more about

901
00:52:25,040 --> 00:52:28,919
Speaker 1: creating rules that if they break them, they will be prosecuted.

902
00:52:30,120 --> 00:52:33,120
Speaker 1: Good to do. Yeah, I feel like it's kind of

903
00:52:33,200 --> 00:52:36,920
Speaker 1: the same thing ultimately, Like what does she she have

904
00:52:37,040 --> 00:52:39,439
Speaker 1: a quote here? If bad actors like x on break

905
00:52:39,480 --> 00:52:41,879
Speaker 1: the rules and deliberately lie to government agencies, my plan

906
00:52:41,960 --> 00:52:44,040
Speaker 1: will treat them the same way as the law treats

907
00:52:44,080 --> 00:52:46,880
Speaker 1: someone who lies in court by subjecting them to prosecution

908
00:52:46,960 --> 00:52:50,399
Speaker 1: for perjury. So that's great, And this is a part

909
00:52:50,440 --> 00:52:52,000
Speaker 1: of her plan, Like she's going to put these rules

910
00:52:52,040 --> 00:52:54,960
Speaker 1: in place so that if they lie and do it

911
00:52:55,440 --> 00:52:58,239
Speaker 1: X and Y, then they will be prosecuted. But I

912
00:52:58,280 --> 00:53:00,759
Speaker 1: don't think there is a difference between saying like, we're

913
00:53:00,760 --> 00:53:04,359
Speaker 1: gonna put in rules and if they break them, they're

914
00:53:04,680 --> 00:53:08,080
Speaker 1: gonna get prosecuted, and oh, yeah, they've lied to us

915
00:53:08,120 --> 00:53:12,560
Speaker 1: for decades and we're going to prosecute them. Like I

916
00:53:12,840 --> 00:53:17,640
Speaker 1: feel like it's pretty I hear you. I think I

917
00:53:17,680 --> 00:53:20,720
Speaker 1: think it's a minor distinction because it's gonna I understand,

918
00:53:20,760 --> 00:53:22,839
Speaker 1: it's not a minor distinction. He wants to prosecute them

919
00:53:22,840 --> 00:53:25,080
Speaker 1: for stuff that's already happened, and she's saying like, let's

920
00:53:25,120 --> 00:53:27,279
Speaker 1: move forward with these new regulations in place, and if

921
00:53:27,320 --> 00:53:31,080
Speaker 1: this happens, then we will prosecute them. Slight different. They

922
00:53:31,160 --> 00:53:33,120
Speaker 1: both seemed tough to me, but those just know they're

923
00:53:33,160 --> 00:53:35,919
Speaker 1: they're they're both tough. And that's that's the thing again,

924
00:53:36,000 --> 00:53:37,759
Speaker 1: the thing we're sort of talking about, like they're both good.

925
00:53:38,320 --> 00:53:41,360
Speaker 1: It's good that we have we have these two candidates

926
00:53:41,880 --> 00:53:45,480
Speaker 1: that exist, it's just the aggressiveness and and they're not.

927
00:53:46,239 --> 00:53:48,440
Speaker 1: And so a lot of this sort of brings me

928
00:53:48,520 --> 00:53:52,480
Speaker 1: to my real my my real thing, um and like

929
00:53:52,560 --> 00:53:54,719
Speaker 1: you're like, look at let's look into the policy, let's

930
00:53:54,800 --> 00:53:58,919
Speaker 1: compare and contrast, And my thing is that I don't

931
00:53:58,960 --> 00:54:02,400
Speaker 1: super care like about the very specifics of it, Like

932
00:54:02,480 --> 00:54:06,080
Speaker 1: it's like it's very similar to me when well, well, no,

933
00:54:06,280 --> 00:54:09,120
Speaker 1: it's not like medicare for all, and then how are

934
00:54:09,160 --> 00:54:10,799
Speaker 1: you going to pay for it? It's that where it's

935
00:54:10,840 --> 00:54:14,640
Speaker 1: like I don't care when talking about like a president

936
00:54:14,960 --> 00:54:18,440
Speaker 1: or a leadership, I'm less interested in the very specifics

937
00:54:18,760 --> 00:54:22,600
Speaker 1: of the plans because ultimately, people like you get a

938
00:54:22,600 --> 00:54:25,319
Speaker 1: policy team together and you make the policy and it's

939
00:54:25,320 --> 00:54:29,080
Speaker 1: all based off vision. And that's I think that that's

940
00:54:29,120 --> 00:54:32,480
Speaker 1: the thing that I care more about, is uh, having

941
00:54:32,960 --> 00:54:38,520
Speaker 1: vision and commitment to these things makes me a little nervous.

942
00:54:38,560 --> 00:54:40,080
Speaker 1: But I hear you. I understand what you're saying, Like

943
00:54:40,239 --> 00:54:42,200
Speaker 1: the role of a president of leader, it's like that.

944
00:54:42,520 --> 00:54:48,319
Speaker 1: It's why, uh, nowadays you might hear the phrase health

945
00:54:48,360 --> 00:54:50,440
Speaker 1: care is a human right, and you wouldn't have heard

946
00:54:50,480 --> 00:54:53,600
Speaker 1: that five years ago. Um, and there's a reason, and

947
00:54:53,680 --> 00:54:57,759
Speaker 1: it's because vision and leadership has pushed us to all

948
00:54:57,800 --> 00:54:59,600
Speaker 1: sort of adopt that. I do think that the next

949
00:55:00,160 --> 00:55:02,960
Speaker 1: to enacting that vision is a plan. I don't I know,

950
00:55:03,080 --> 00:55:06,880
Speaker 1: I agree. I'm just saying that, like the specifics of

951
00:55:06,960 --> 00:55:09,600
Speaker 1: that plan don't matter to you. That's not what I'm saying.

952
00:55:09,640 --> 00:55:14,239
Speaker 1: I'm saying that because all the things that we're talking

953
00:55:14,280 --> 00:55:15,600
Speaker 1: about now, like oh, we gotta do this, we gotta

954
00:55:15,600 --> 00:55:17,960
Speaker 1: do this, great this. I'm not saying Warren hasn't supported that,

955
00:55:18,040 --> 00:55:20,359
Speaker 1: but I'm saying that the reason we're talking about them,

956
00:55:20,400 --> 00:55:22,440
Speaker 1: and the reason that these ideas have taken over the

957
00:55:22,520 --> 00:55:26,959
Speaker 1: Democratic Party are because of this vision. Because of Bernie's vision,

958
00:55:27,120 --> 00:55:29,480
Speaker 1: I mean yeah, I mean he's the person that has

959
00:55:29,480 --> 00:55:33,800
Speaker 1: been him specifically obviously there's a movie behind it, but

960
00:55:33,880 --> 00:55:36,080
Speaker 1: like I think that has a lot to do with

961
00:55:36,160 --> 00:55:40,759
Speaker 1: care health care thing, um, and just in general, I

962
00:55:40,840 --> 00:55:43,040
Speaker 1: think that that that So, like when we're talking about

963
00:55:43,080 --> 00:55:46,480
Speaker 1: like what's uh this plan? Was this plan? Well, I

964
00:55:46,480 --> 00:55:48,600
Speaker 1: just want a person that I believe, but a person

965
00:55:48,640 --> 00:55:50,520
Speaker 1: that I believe believes the things that they say and

966
00:55:50,600 --> 00:55:52,880
Speaker 1: have been saying for decor you could probably understand. I

967
00:55:53,000 --> 00:55:56,759
Speaker 1: imagine why a lot of people do care about having

968
00:55:56,800 --> 00:55:58,600
Speaker 1: an idea that I'm not saying it doesn't, but he

969
00:55:58,760 --> 00:56:02,560
Speaker 1: has plans. I'm just saying personally, I'm like, yeah, um,

970
00:56:04,160 --> 00:56:07,000
Speaker 1: so before we leave here, I wanted to give room

971
00:56:07,160 --> 00:56:11,279
Speaker 1: for you know, other other points, Uh, specifically Robert, you

972
00:56:11,320 --> 00:56:13,800
Speaker 1: wanted to talk about the blood quantum stuff, and I

973
00:56:13,840 --> 00:56:17,560
Speaker 1: think that's pretty important to get into before we And yeah,

974
00:56:17,800 --> 00:56:21,200
Speaker 1: and this is obviously something that there's no comparison with

975
00:56:21,280 --> 00:56:24,759
Speaker 1: Sanders because Bernie Sanders did not labor, labor under the

976
00:56:24,800 --> 00:56:27,920
Speaker 1: misconception that he had Native American blood for decades. He

977
00:56:28,040 --> 00:56:30,920
Speaker 1: just killed the president. But but yeah, he is on

978
00:56:31,000 --> 00:56:33,560
Speaker 1: the lamb. He did. He did kill President Johns. That's

979
00:56:35,239 --> 00:56:41,240
Speaker 1: he's on the possible. You know, he's hiding from the cops.

980
00:56:41,360 --> 00:56:45,719
Speaker 1: I go, in a minute, they're after me. Uh, you know, No,

981
00:56:46,000 --> 00:56:50,279
Speaker 1: Bernie just wrote some weird erotic essays and when he

982
00:56:50,440 --> 00:56:52,640
Speaker 1: was younger. And we did talk about this a bit

983
00:56:52,680 --> 00:56:55,560
Speaker 1: on the on the Elizabeth Warren episode. But I think

984
00:56:55,600 --> 00:56:58,080
Speaker 1: that some of you guys um I wanted to hear

985
00:56:58,080 --> 00:56:59,600
Speaker 1: more about it, and I agree. I agree with you.

986
00:56:59,760 --> 00:57:02,600
Speaker 1: So let's let's yeah, and this is I wanted to

987
00:57:02,640 --> 00:57:05,000
Speaker 1: point out, like I'm not doing this is like an

988
00:57:05,040 --> 00:57:07,359
Speaker 1: attack on her. I've stated my opinion on like her

989
00:57:07,400 --> 00:57:10,000
Speaker 1: actual level of culpability. I think other than it being

990
00:57:10,160 --> 00:57:13,680
Speaker 1: really dumb, incredibly dumb decision, like, I don't think what

991
00:57:13,800 --> 00:57:16,600
Speaker 1: she did was like horrifically immoral or cruel. I think

992
00:57:16,640 --> 00:57:19,920
Speaker 1: it was pretty coming up growing up where she grew up,

993
00:57:20,120 --> 00:57:21,960
Speaker 1: in a community like the one she grew up, And

994
00:57:22,040 --> 00:57:24,280
Speaker 1: I think it's a pretty in knowing the air she

995
00:57:24,400 --> 00:57:28,000
Speaker 1: grew up and it's a pretty common mistake to have made. UM.

996
00:57:28,400 --> 00:57:30,800
Speaker 1: But a number of Native American folks reached out on

997
00:57:30,880 --> 00:57:33,120
Speaker 1: Twitter after the last episode where we talked about this

998
00:57:33,320 --> 00:57:36,160
Speaker 1: and wanted to make sure that I kind of pointed

999
00:57:36,200 --> 00:57:40,360
Speaker 1: out the context of why it was troubling, because there's

1000
00:57:40,440 --> 00:57:43,240
Speaker 1: there's some really important information about UM kind of the

1001
00:57:43,320 --> 00:57:48,360
Speaker 1: way Native American nous is determined legally, UM that what

1002
00:57:48,520 --> 00:57:51,440
Speaker 1: she did fed into UM. That goes back pretty far,

1003
00:57:51,560 --> 00:57:53,080
Speaker 1: and it's it's kind of important to talk about, and

1004
00:57:53,360 --> 00:57:56,560
Speaker 1: it goes back to something called blood quantum, which is

1005
00:57:56,640 --> 00:57:59,800
Speaker 1: a system that the federal government put on tribes in

1006
00:58:00,080 --> 00:58:02,120
Speaker 1: order to limit the number of people who could call

1007
00:58:02,200 --> 00:58:06,880
Speaker 1: themselves Native American UM and a number of Native nations

1008
00:58:06,960 --> 00:58:09,520
Speaker 1: do not use blood quantum, but like the Navajo Nation

1009
00:58:09,680 --> 00:58:11,800
Speaker 1: and the Turnal Mountain Band of Chippewa Indians and a

1010
00:58:11,880 --> 00:58:14,760
Speaker 1: number of others still do use it. Um. How tribes

1011
00:58:14,840 --> 00:58:18,160
Speaker 1: use blood quantum varies from tribe to tribe. The Navajo

1012
00:58:18,360 --> 00:58:22,720
Speaker 1: require about of Navajo blood in order to call like

1013
00:58:22,840 --> 00:58:28,000
Speaker 1: be considered Navajoternal Mountain requires any kind of Indian blood um,

1014
00:58:28,480 --> 00:58:33,320
Speaker 1: but blood quantum minimums like um like. One of the

1015
00:58:33,440 --> 00:58:36,200
Speaker 1: problems is that they were essentially set up back in

1016
00:58:36,280 --> 00:58:40,280
Speaker 1: the day by the United States in order to ensure

1017
00:58:40,320 --> 00:58:42,600
Speaker 1: that there would kind of always be a declining number

1018
00:58:42,840 --> 00:58:47,120
Speaker 1: of of of Native Americans. So if you've got Navajo

1019
00:58:47,240 --> 00:58:50,160
Speaker 1: blood um and you have children with somebody who has

1020
00:58:50,240 --> 00:58:53,360
Speaker 1: a lower blood quantum, then your kids, by definition will

1021
00:58:53,400 --> 00:58:55,560
Speaker 1: not be able to enroll as Navajo, which is like

1022
00:58:55,640 --> 00:59:00,040
Speaker 1: one of the issues with the system. Um IF. In

1023
00:59:00,120 --> 00:59:03,000
Speaker 1: an article which interviews a woman named Elizabeth Rule, she's

1024
00:59:03,040 --> 00:59:06,720
Speaker 1: a doctoral candidate at Brown University, specializes in Native American studies,

1025
00:59:06,800 --> 00:59:11,000
Speaker 1: and she's a Chickasaw Nation citizen UM, and she calls

1026
00:59:11,040 --> 00:59:15,920
Speaker 1: this a colonial catch twenty two UM basically because like

1027
00:59:16,200 --> 00:59:18,400
Speaker 1: there's kind of no perfect way to deal with this

1028
00:59:18,560 --> 00:59:21,440
Speaker 1: problem because it's been sort of enshrined in law for

1029
00:59:21,640 --> 00:59:28,000
Speaker 1: so long. UM And yeah, it's it's uh, it's a

1030
00:59:28,080 --> 00:59:30,320
Speaker 1: really thorny issue and I'm not gonna be able to

1031
00:59:30,400 --> 00:59:34,880
Speaker 1: give like a super complex like explanation of it. One

1032
00:59:34,960 --> 00:59:37,800
Speaker 1: of the problems is that it doesn't go along with

1033
00:59:37,920 --> 00:59:41,120
Speaker 1: how these actual tribes for thousands of years prior to

1034
00:59:41,320 --> 00:59:45,919
Speaker 1: the United States like determined membership in the tribe. Most

1035
00:59:45,960 --> 00:59:48,080
Speaker 1: of them didn't Obviously you couldn't do blood tests a

1036
00:59:48,160 --> 00:59:50,280
Speaker 1: thousand years ago, so like that wasn't even really a

1037
00:59:50,320 --> 00:59:53,720
Speaker 1: part of it. Like there's a long history of for example,

1038
00:59:53,840 --> 00:59:59,200
Speaker 1: freed black people being fully incorporated into Native American tribes um.

1039
00:59:59,680 --> 01:00:02,800
Speaker 1: And then when sort of like the blood quantum thing

1040
01:00:03,320 --> 01:00:06,000
Speaker 1: like came into being because of the United States government,

1041
01:00:06,320 --> 01:00:09,280
Speaker 1: these guys were basically kicked out of the tribes that

1042
01:00:09,360 --> 01:00:12,280
Speaker 1: they've been fully accepted in because their blood wasn't Native

1043
01:00:12,320 --> 01:00:15,800
Speaker 1: American UM. And so like it's it's a very like

1044
01:00:16,120 --> 01:00:23,640
Speaker 1: complicated issue UM. And it basically guarantees that over time, uh,

1045
01:00:24,280 --> 01:00:28,200
Speaker 1: Native Americans will basically breed themselves out of existence um,

1046
01:00:28,400 --> 01:00:32,280
Speaker 1: which in a fortunate coincidence, means that the federal government

1047
01:00:32,320 --> 01:00:35,840
Speaker 1: will no longer have to continue like maintaining the legal

1048
01:00:35,960 --> 01:00:38,360
Speaker 1: obligations that they have to the treaties that they signed.

1049
01:00:38,360 --> 01:00:41,640
Speaker 1: They gradually die out as a result of this blood

1050
01:00:41,720 --> 01:00:46,880
Speaker 1: quantum thing and so kind of by UM. And again

1051
01:00:46,960 --> 01:00:50,040
Speaker 1: this is like a very rough overview of of of

1052
01:00:50,240 --> 01:00:52,360
Speaker 1: what the blood Quantum sort of is I think I'm

1053
01:00:52,360 --> 01:00:54,640
Speaker 1: gonna do it behind the Bastards episode on just sort

1054
01:00:54,640 --> 01:00:58,760
Speaker 1: of how UH tribes were treated by the US government

1055
01:00:58,800 --> 01:01:00,280
Speaker 1: at some point that goes into this and more to tail,

1056
01:01:00,720 --> 01:01:04,400
Speaker 1: but by um By specifically sort of trying to prove

1057
01:01:04,480 --> 01:01:08,320
Speaker 1: her claim to Indigenous blood or Indigenous heritage by taking

1058
01:01:08,360 --> 01:01:11,760
Speaker 1: a blood test, Warren sort of bought into this system,

1059
01:01:11,880 --> 01:01:15,120
Speaker 1: which is very problematic and very heavily debated, and so

1060
01:01:15,320 --> 01:01:19,080
Speaker 1: that's one reason why she attracted a sizeable amount of

1061
01:01:19,120 --> 01:01:22,000
Speaker 1: criticism UM. But it's also sort of evidence that, like,

1062
01:01:22,720 --> 01:01:26,200
Speaker 1: you know, again, her belief that she had this blood

1063
01:01:26,720 --> 01:01:29,880
Speaker 1: comes down to um or who had this heritage comes

1064
01:01:29,920 --> 01:01:34,520
Speaker 1: down to some very um incorrect ideas about Native American

1065
01:01:34,600 --> 01:01:37,000
Speaker 1: heritage that have been passed through my people for a

1066
01:01:37,120 --> 01:01:41,919
Speaker 1: very long time, particularly in Oklahoma. UM and her sort

1067
01:01:41,920 --> 01:01:45,600
Speaker 1: of going with a blood test and John Lovett's suggesting

1068
01:01:45,600 --> 01:01:48,800
Speaker 1: a blood test in order to to prove her heritage

1069
01:01:49,400 --> 01:01:52,480
Speaker 1: is is, you know, buying into this long tradition And

1070
01:01:52,600 --> 01:01:55,360
Speaker 1: so it's it's definitely a dumb and lame thing that

1071
01:01:55,560 --> 01:01:58,640
Speaker 1: she and her campaign agreed to do. But more to

1072
01:01:58,760 --> 01:02:02,320
Speaker 1: the point, it's like there's an incredibly long and lame

1073
01:02:02,480 --> 01:02:05,400
Speaker 1: and shitty history that is attached to all of this.

1074
01:02:06,160 --> 01:02:09,600
Speaker 1: And Uh, one of the deep frustrations of this election

1075
01:02:09,720 --> 01:02:12,959
Speaker 1: is that if Elizabeth Warren continues to be a major

1076
01:02:13,080 --> 01:02:15,800
Speaker 1: force in the election. Uh. And I like her politics

1077
01:02:15,960 --> 01:02:18,440
Speaker 1: and I hope that she is a part of it. Um,

1078
01:02:19,240 --> 01:02:23,800
Speaker 1: people like the president will continue to drag. It's just

1079
01:02:23,840 --> 01:02:25,959
Speaker 1: gonna continue to be of real pain in the ass

1080
01:02:26,000 --> 01:02:29,640
Speaker 1: for the Native American community. And that's us and I

1081
01:02:29,880 --> 01:02:31,920
Speaker 1: And again, we didn't talk about this nearly enough when

1082
01:02:32,000 --> 01:02:35,880
Speaker 1: we did her episode, but I do think we mentioned

1083
01:02:35,880 --> 01:02:37,920
Speaker 1: it like that. That's a big caveat for me with

1084
01:02:38,000 --> 01:02:43,160
Speaker 1: her is how she handled this situation. Yeah, I think

1085
01:02:43,760 --> 01:02:47,040
Speaker 1: she made a mistake. I think that she could have

1086
01:02:47,200 --> 01:02:50,640
Speaker 1: done a better job owning up to that mistake addressing it.

1087
01:02:51,080 --> 01:02:53,320
Speaker 1: And if she does get the nomination, if she does continue,

1088
01:02:53,360 --> 01:02:55,160
Speaker 1: I think that we would need to see that because

1089
01:02:55,200 --> 01:02:57,840
Speaker 1: there's a lot of communities that are you know, are

1090
01:02:58,240 --> 01:03:01,320
Speaker 1: rightfully upset about it, and this would be a good

1091
01:03:01,360 --> 01:03:05,200
Speaker 1: opportunity to draw attention to an issue that most people

1092
01:03:05,280 --> 01:03:08,160
Speaker 1: don't understand are aware of. And so there's that. I

1093
01:03:08,240 --> 01:03:11,440
Speaker 1: am also worried about how Yeah, we're talking about things

1094
01:03:11,520 --> 01:03:15,840
Speaker 1: that the president is going to use to weaponize against

1095
01:03:15,920 --> 01:03:19,800
Speaker 1: his opponent. This is one of them. So it is

1096
01:03:19,880 --> 01:03:22,760
Speaker 1: absolutely something that we need to keep in mind. I

1097
01:03:23,080 --> 01:03:27,120
Speaker 1: I understand in a way, you know, like there's a problem.

1098
01:03:28,080 --> 01:03:31,080
Speaker 1: It sucks our society, and that the time that she

1099
01:03:31,120 --> 01:03:33,720
Speaker 1: grew up and where she grew up it but you know,

1100
01:03:34,040 --> 01:03:37,640
Speaker 1: like and and and she grew up with this narrative,

1101
01:03:37,640 --> 01:03:39,880
Speaker 1: and she grew up with this story that was false

1102
01:03:40,200 --> 01:03:44,080
Speaker 1: of who she is. I don't you know, and and

1103
01:03:44,200 --> 01:03:47,000
Speaker 1: she benefited from it. And she's white, you know, like

1104
01:03:47,400 --> 01:03:51,280
Speaker 1: she is, Uh and and and she and and we

1105
01:03:52,240 --> 01:03:56,760
Speaker 1: culturally super and we culturally have learned and changed. Um.

1106
01:03:57,440 --> 01:03:59,600
Speaker 1: And you know, you'd like to think that if she

1107
01:03:59,800 --> 01:04:04,120
Speaker 1: was a kid now, maybe it would be a different story.

1108
01:04:04,520 --> 01:04:06,480
Speaker 1: This isn't making an excuse. I'm just putting it all

1109
01:04:06,520 --> 01:04:08,960
Speaker 1: into perspective. But again, like I said, I think that

1110
01:04:09,040 --> 01:04:11,320
Speaker 1: she handled it wrong. Yeah, And like being able to

1111
01:04:11,520 --> 01:04:13,720
Speaker 1: I think being able to handle those kinds of things

1112
01:04:13,760 --> 01:04:17,080
Speaker 1: and address those issues is really important leading up to

1113
01:04:17,120 --> 01:04:21,040
Speaker 1: this year. Uh, like they're gonna throw so much stuff

1114
01:04:21,080 --> 01:04:26,760
Speaker 1: in everybody, um, and how that's handled I think is important.

1115
01:04:26,800 --> 01:04:28,040
Speaker 1: Like you know, like we're not going to talk about

1116
01:04:28,080 --> 01:04:29,840
Speaker 1: Biden or anything. But you know, when he's criticized, he

1117
01:04:29,880 --> 01:04:32,280
Speaker 1: steaks out. He can't handle it. He like grabs people

1118
01:04:32,280 --> 01:04:35,600
Speaker 1: by the collars, like hey man. Uh, And like how

1119
01:04:36,600 --> 01:04:39,320
Speaker 1: the criticism is addressed. I think is going to play

1120
01:04:39,360 --> 01:04:41,160
Speaker 1: into it quite a bit so in terms of, like

1121
01:04:41,960 --> 01:04:44,720
Speaker 1: just because I don't want to be uh, just stating

1122
01:04:44,760 --> 01:04:47,840
Speaker 1: what I think are different Native American attitudes on this.

1123
01:04:47,880 --> 01:04:51,000
Speaker 1: I actually want to quote um a medium article I

1124
01:04:51,080 --> 01:04:56,280
Speaker 1: found from someone named Eli tatosian Um uh titled Warren

1125
01:04:56,360 --> 01:04:59,320
Speaker 1: and the Blood Quantum that kind of goes into at

1126
01:04:59,400 --> 01:05:02,880
Speaker 1: least this one. This one Indigenous person's perspective on um,

1127
01:05:03,280 --> 01:05:09,760
Speaker 1: on all this uh and like how it's impacted their life. Quote.

1128
01:05:10,360 --> 01:05:13,000
Speaker 1: Along with criticism of Warren, a wave of general distrust

1129
01:05:13,080 --> 01:05:15,280
Speaker 1: and prove it began to spread through the United States,

1130
01:05:15,720 --> 01:05:18,520
Speaker 1: placing a negative spotlight on Indigenous folks. This is after

1131
01:05:19,080 --> 01:05:22,360
Speaker 1: her blood test, Uh, Suddenly the question of what percentage

1132
01:05:22,400 --> 01:05:24,439
Speaker 1: are you held more weight and not in a good way.

1133
01:05:24,920 --> 01:05:27,720
Speaker 1: And Kateie Cannon describes that one day, upon being asked

1134
01:05:27,760 --> 01:05:30,480
Speaker 1: how Indian she was, the man asking her stated that

1135
01:05:30,560 --> 01:05:32,760
Speaker 1: he was just trying to make sure you're not another

1136
01:05:32,840 --> 01:05:36,240
Speaker 1: Elizabeth Warren. Warren's claimed created more pressure than ever for

1137
01:05:36,280 --> 01:05:38,800
Speaker 1: Indigenous folks to prove their ancestry to people who were

1138
01:05:38,880 --> 01:05:42,760
Speaker 1: not entitled to such information. Cannon states that Warren answers

1139
01:05:42,800 --> 01:05:46,959
Speaker 1: the dog whistlers and a conversation about Indian uh indigenity

1140
01:05:47,560 --> 01:05:50,120
Speaker 1: without Indigenous input. She makes it seem like the percentage

1141
01:05:50,200 --> 01:05:53,080
Speaker 1: question is something that actually deserves an answer. Before Warren,

1142
01:05:53,160 --> 01:05:55,320
Speaker 1: it was possible to brush off the percentage question, to

1143
01:05:55,400 --> 01:05:57,360
Speaker 1: chuckle and chalk it up to a poorly phrased remark

1144
01:05:57,440 --> 01:05:59,600
Speaker 1: from a well meaning person who just doesn't know any better.

1145
01:06:00,040 --> 01:06:02,840
Speaker 1: Now that blood quantum has been solidified as a political maneuver,

1146
01:06:03,160 --> 01:06:07,600
Speaker 1: I feel like the percentage question has lost its innocence. Yeah, yeah,

1147
01:06:07,880 --> 01:06:13,000
Speaker 1: yeah yeah, whether intended or not justifying the thing, yeah,

1148
01:06:13,120 --> 01:06:17,440
Speaker 1: I completely agree. Um, And it is. It is absolutely

1149
01:06:17,480 --> 01:06:20,720
Speaker 1: a factor as to why I might not for her,

1150
01:06:20,800 --> 01:06:24,400
Speaker 1: And it also plays into UM. It's interesting. There's that

1151
01:06:24,560 --> 01:06:28,040
Speaker 1: old clip of Trump at a in a is in

1152
01:06:28,160 --> 01:06:32,640
Speaker 1: court about his casino stuff. He's talking about Native Americans, uh,

1153
01:06:32,920 --> 01:06:34,280
Speaker 1: and I think it's like about a claim to land,

1154
01:06:34,320 --> 01:06:35,640
Speaker 1: and he's just like, well, they don't look like Native

1155
01:06:35,640 --> 01:06:38,320
Speaker 1: Americans to me. Um. And it's just his that like

1156
01:06:38,720 --> 01:06:41,280
Speaker 1: oh yes, yes, remember that. It's like sort of like

1157
01:06:41,560 --> 01:06:45,440
Speaker 1: playing yeah, playing into remember when Donald Trump said that

1158
01:06:45,560 --> 01:06:47,720
Speaker 1: in a court of law a couple of times he

1159
01:06:47,760 --> 01:06:52,400
Speaker 1: appeared himself a bunch Actually is very weird, but uh,

1160
01:06:52,560 --> 01:06:55,520
Speaker 1: just sort of like playing into his narrative and being

1161
01:06:55,600 --> 01:07:00,400
Speaker 1: unable not his specifically, but like, uh playing into it

1162
01:07:00,520 --> 01:07:03,040
Speaker 1: and not being able to really address it and justifying

1163
01:07:03,240 --> 01:07:07,120
Speaker 1: where he's coming from. Um, it's going to be an issue. Okay,

1164
01:07:07,280 --> 01:07:10,200
Speaker 1: Well we're getting the wrap it up sign by Sophie,

1165
01:07:10,360 --> 01:07:12,440
Speaker 1: So that's what I'm going to do. I was going

1166
01:07:12,480 --> 01:07:15,200
Speaker 1: to do it anyway. We are going to wrap it

1167
01:07:15,440 --> 01:07:19,479
Speaker 1: up like Bernard Sanders wrapped up the presidency of John

1168
01:07:19,520 --> 01:07:22,840
Speaker 1: Fitzgerald Kennedy. Yeah, I'm so glad you brought that home

1169
01:07:23,360 --> 01:07:26,760
Speaker 1: scoped rifle so eloquently, so poetical. Thank you, thank you.

1170
01:07:27,000 --> 01:07:30,080
Speaker 1: You guys can find us online on Twitter and Instagram

1171
01:07:30,440 --> 01:07:33,439
Speaker 1: at worst your pod. Please find us online on Twitter

1172
01:07:33,520 --> 01:07:37,360
Speaker 1: and Instagram, find us online at us um be mean

1173
01:07:37,400 --> 01:07:40,520
Speaker 1: to us online, Please be mean to us online. Uh No,

1174
01:07:40,680 --> 01:07:42,520
Speaker 1: A lot of you guys have been kind of like

1175
01:07:42,800 --> 01:07:45,840
Speaker 1: profoundly abusive to me online, to them, not to me only,

1176
01:07:45,880 --> 01:07:50,760
Speaker 1: And I think um, uh, say what you need to say.

1177
01:07:51,040 --> 01:07:54,000
Speaker 1: Try to be kind about it. Uh. To everybody that's

1178
01:07:54,040 --> 01:07:55,840
Speaker 1: reached out over the last week, I really appreciate you.

1179
01:07:55,920 --> 01:08:00,680
Speaker 1: You're wonderful yourself. No, you're fine. I mean you're yeah.

1180
01:08:02,080 --> 01:08:07,720
Speaker 1: Uh cool boy, howdy. I hope that all of this

1181
01:08:08,040 --> 01:08:12,560
Speaker 1: joking about Bernie Sanders assassinating a former president uh has

1182
01:08:12,640 --> 01:08:17,120
Speaker 1: not harmed our chances of interviewing him. Well, I mean,

1183
01:08:17,160 --> 01:08:21,360
Speaker 1: he needs to answer for it someday. So Bernie, come

1184
01:08:21,400 --> 01:08:23,080
Speaker 1: here and clear up the record. It's out there, it's

1185
01:08:23,080 --> 01:08:26,280
Speaker 1: out there. It's out there. All right, all right, it's

1186
01:08:26,280 --> 01:08:31,479
Speaker 1: out there, correct, Bernie disgusted? All right, I'll see you guys.

1187
01:08:33,000 --> 01:08:44,000
Speaker 1: Everything everything so dull. I tried. Worst Year Ever is

1188
01:08:44,040 --> 01:08:46,720
Speaker 1: a production of I Heart Radio. For more podcasts from

1189
01:08:46,720 --> 01:08:49,880
Speaker 1: my Heart Radio, visit the I heart Radio app, Apple Podcasts,

1190
01:08:50,000 --> 01:08:51,840
Speaker 1: or wherever you listen to your favorite shows.