1 00:00:00,120 --> 00:00:03,200 Speaker 1: Native lamb Pod is the production of iHeartRadio in partnership 2 00:00:03,240 --> 00:00:05,000 Speaker 1: with Reason Choice Media. 3 00:00:05,120 --> 00:00:08,360 Speaker 2: Well come, well come, well come, well come, well come, welcome. 4 00:00:09,720 --> 00:00:11,240 Speaker 3: Okay, welcome home everybody. 5 00:00:11,280 --> 00:00:15,080 Speaker 4: This is a Native Lamppod Mini pod and Today. Because 6 00:00:15,120 --> 00:00:17,239 Speaker 4: sometimes we tend to be in gloom and doom, We're 7 00:00:17,280 --> 00:00:20,200 Speaker 4: just gonna stay in the doom, So we at the 8 00:00:20,360 --> 00:00:23,600 Speaker 4: end of most shows tell you how many days are 9 00:00:23,680 --> 00:00:26,200 Speaker 4: left to the midterms. Now, Andrew might be feeling like, 10 00:00:26,280 --> 00:00:30,880 Speaker 4: woo hoo midterms. I think me and Tiff really might 11 00:00:30,920 --> 00:00:33,440 Speaker 4: feel a way about telling y'all how many days are 12 00:00:33,520 --> 00:00:35,840 Speaker 4: left to the midterms, because I don't really know these 13 00:00:35,880 --> 00:00:39,040 Speaker 4: things gonna damn happen, So tif, I think that might be. 14 00:00:39,440 --> 00:00:40,400 Speaker 3: Where you're resting. 15 00:00:41,440 --> 00:00:44,040 Speaker 4: Even if they are gonna happen, are they gonna cheat 16 00:00:44,080 --> 00:00:46,320 Speaker 4: like they did? I still feel like they did in 17 00:00:46,479 --> 00:00:49,239 Speaker 4: the twenty twenty four election. I don't have dad. I 18 00:00:49,280 --> 00:00:51,440 Speaker 4: got a gut feeling. I'm telling about the black women 19 00:00:51,479 --> 00:00:54,480 Speaker 4: in the Holy Goes We'll be spot on. So I'm 20 00:00:54,520 --> 00:00:58,040 Speaker 4: curious to know if you guys think we should still 21 00:00:58,040 --> 00:00:59,680 Speaker 4: be telling people how many days are left. 22 00:01:02,280 --> 00:01:05,080 Speaker 1: I say that I think it's pointless. I get so 23 00:01:05,240 --> 00:01:08,039 Speaker 1: frustrated when people say, Andrew already disagree with me. But 24 00:01:08,400 --> 00:01:10,440 Speaker 1: I'm just gonna tell you, Andrew, I think it is 25 00:01:10,600 --> 00:01:14,520 Speaker 1: pointless when people start talking to me like we just 26 00:01:14,520 --> 00:01:16,760 Speaker 1: gotta hold on for one more year then the midterms. 27 00:01:16,800 --> 00:01:19,160 Speaker 1: I'm hold on to what? What do we think the 28 00:01:19,200 --> 00:01:22,600 Speaker 1: midterms are going to change? And after going out and 29 00:01:22,600 --> 00:01:25,080 Speaker 1: telling everybody gotta vote, gotta votetta vote, gotta vote, and 30 00:01:25,240 --> 00:01:28,200 Speaker 1: the country I know Angela believes the election is stolen. 31 00:01:28,280 --> 00:01:32,160 Speaker 1: I can only go on what is before us, and 32 00:01:32,280 --> 00:01:34,640 Speaker 1: that is that millions of people cast ballots for this. 33 00:01:34,880 --> 00:01:38,680 Speaker 1: But I will say, Angela, the Latasha has been the 34 00:01:38,720 --> 00:01:42,880 Speaker 1: most compelling to me in giving me actual facts that 35 00:01:43,000 --> 00:01:45,920 Speaker 1: suggest the election is stolen. And I've really I'm hesitant 36 00:01:45,959 --> 00:01:47,880 Speaker 1: to share what she said. So y'all give me a 37 00:01:47,880 --> 00:01:49,560 Speaker 1: little bit of grace because I could be saying it 38 00:01:49,880 --> 00:01:53,280 Speaker 1: incorrectly because I don't know the exact jurisdictions. But she 39 00:01:53,480 --> 00:01:57,080 Speaker 1: was saying there were places where people would vote down 40 00:01:57,200 --> 00:02:02,800 Speaker 1: ballot completely Democrat and not the top Republican and it 41 00:02:02,920 --> 00:02:06,480 Speaker 1: happened overwhelmingly, and we should have her come on so 42 00:02:06,480 --> 00:02:09,280 Speaker 1: she can say it directly. But when she said that, 43 00:02:09,320 --> 00:02:11,760 Speaker 1: I'm like now, that is information to me, that is 44 00:02:11,880 --> 00:02:15,960 Speaker 1: that's factual, it's logical, and it gives you a head 45 00:02:15,960 --> 00:02:19,960 Speaker 1: scratch where yes, that does require, you know, some investigation. 46 00:02:20,280 --> 00:02:22,840 Speaker 1: But even if they did, okay, it is here now, 47 00:02:22,960 --> 00:02:25,040 Speaker 1: like what they're not gonna say, okay, takes these back seats. 48 00:02:25,080 --> 00:02:29,040 Speaker 1: We stole it, like they have already instituted this authoritarian regime. 49 00:02:29,280 --> 00:02:32,400 Speaker 1: And I don't know any post industrialized country that has 50 00:02:32,400 --> 00:02:36,839 Speaker 1: come this far into authoritarianism and turned around. So why 51 00:02:36,919 --> 00:02:39,000 Speaker 1: we think all of a sudden we're gonna have free 52 00:02:39,000 --> 00:02:41,280 Speaker 1: and fair elections in this country for midterms, which we've 53 00:02:41,280 --> 00:02:43,679 Speaker 1: never really had, as black folks know all too well, 54 00:02:43,720 --> 00:02:45,600 Speaker 1: and as women know all too well, we've never really 55 00:02:45,639 --> 00:02:48,680 Speaker 1: had that. But we think somehow in four hundred and 56 00:02:48,919 --> 00:02:53,360 Speaker 1: eighty days that we're going to have a better chance 57 00:02:53,400 --> 00:02:55,600 Speaker 1: at democracy. I just don't think so. But find Andrew, 58 00:02:55,600 --> 00:02:58,320 Speaker 1: you've been shaking your head, So go ahead and tell 59 00:02:58,360 --> 00:02:59,160 Speaker 1: me how I'm wrong. 60 00:02:59,320 --> 00:03:02,240 Speaker 2: I think, so long as elections are still determining who 61 00:03:02,280 --> 00:03:05,119 Speaker 2: is going to be running the country, serving as your mayor, 62 00:03:05,120 --> 00:03:07,680 Speaker 2: on your school board, and your members of Congress, you 63 00:03:07,680 --> 00:03:10,280 Speaker 2: need to participate. We need to show up, and we 64 00:03:10,320 --> 00:03:13,799 Speaker 2: have to participate in the process that exists that allows 65 00:03:13,840 --> 00:03:16,760 Speaker 2: for people to do exactly what they're doing right now 66 00:03:17,000 --> 00:03:21,760 Speaker 2: to us, against us, and some would even say against 67 00:03:21,760 --> 00:03:24,400 Speaker 2: our will. It certainly was against mine. My will when 68 00:03:24,440 --> 00:03:26,760 Speaker 2: I voted, was for a different outcome, and it was 69 00:03:26,800 --> 00:03:29,959 Speaker 2: to preserve democracy. But the other choice was also pretty 70 00:03:29,960 --> 00:03:35,920 Speaker 2: clear to me, which was the opposite of holding democracy, 71 00:03:35,720 --> 00:03:41,680 Speaker 2: but quite frankly flipping closer to autocracy. I do think that. 72 00:03:41,960 --> 00:03:45,520 Speaker 2: So one thing on the evidence around the down ballot 73 00:03:45,600 --> 00:03:48,480 Speaker 2: versus up ballot. That's a trend that's happened in Florida 74 00:03:48,600 --> 00:03:54,440 Speaker 2: for decades. It's only recently shifted where people elected local 75 00:03:54,720 --> 00:03:58,320 Speaker 2: Democrats to school board, their mayors, their council in the 76 00:03:58,360 --> 00:04:03,520 Speaker 2: western part of Lord of the panhandular region. But Democratic 77 00:04:03,560 --> 00:04:09,000 Speaker 2: registration was really the majority registration across the Panhandle for 78 00:04:09,680 --> 00:04:14,600 Speaker 2: frankly all of our existence up to Governor Jeb Bush 79 00:04:14,680 --> 00:04:20,520 Speaker 2: being elected. But their national voting habits were always more conservative, 80 00:04:20,839 --> 00:04:24,240 Speaker 2: so they would vote for Republican presidents, Republican US senators, 81 00:04:24,480 --> 00:04:26,559 Speaker 2: and Democrats all the way down. The rest of the battle. 82 00:04:26,600 --> 00:04:30,039 Speaker 2: We described those folks as Dixiecrats, and Dixiecrats don't just 83 00:04:30,120 --> 00:04:33,480 Speaker 2: live in the panhandular region of Florida. Every part of 84 00:04:33,520 --> 00:04:36,080 Speaker 2: the country has those folks who registered Democrats. They are 85 00:04:36,120 --> 00:04:40,240 Speaker 2: not leaving their party registration, but their voting habits have shifted. 86 00:04:40,600 --> 00:04:43,560 Speaker 2: And then Donald Trump came along and created a permission 87 00:04:43,600 --> 00:04:46,560 Speaker 2: structure for those individuals to go from being registered ds 88 00:04:46,680 --> 00:04:50,760 Speaker 2: to now fully flown, grown, registered Ours, and then their 89 00:04:50,839 --> 00:04:54,839 Speaker 2: voting has now become consistent. They vote are at the 90 00:04:54,880 --> 00:04:57,200 Speaker 2: lower end and they vote are at the top end. 91 00:04:57,480 --> 00:04:59,599 Speaker 2: And I would imagine that that's a trend that exists 92 00:04:59,680 --> 00:05:04,560 Speaker 2: all over the country. But Latasha's point, if we're going 93 00:05:04,640 --> 00:05:08,080 Speaker 2: to find irregularities in the election system, it is going 94 00:05:08,120 --> 00:05:12,320 Speaker 2: to happen at a precinct by precinct level in each 95 00:05:12,400 --> 00:05:15,560 Speaker 2: county and every you know, and all over the country, 96 00:05:15,560 --> 00:05:20,360 Speaker 2: but both very specifically in states that are considered basically 97 00:05:20,400 --> 00:05:24,520 Speaker 2: beil weather states or states that could flip either Republican 98 00:05:24,600 --> 00:05:28,160 Speaker 2: or Democrat from cycle to cycle. But the ability for 99 00:05:28,200 --> 00:05:32,520 Speaker 2: someone to hold sales steal an election by flipping a switch, 100 00:05:34,000 --> 00:05:37,559 Speaker 2: and if impacted the entire country, it is less likely 101 00:05:37,600 --> 00:05:40,680 Speaker 2: given the decentralized nature of our election system, which is 102 00:05:40,760 --> 00:05:44,479 Speaker 2: run county to county to county, and I mean not 103 00:05:44,640 --> 00:05:48,159 Speaker 2: in but just make this final point, which is simply say, 104 00:05:48,279 --> 00:05:50,760 Speaker 2: I think we have to be really careful and responsible 105 00:05:50,800 --> 00:05:55,360 Speaker 2: with how we talk about our elections systems, because it's 106 00:05:55,360 --> 00:05:59,479 Speaker 2: the only thing that people can have faith in if 107 00:05:59,480 --> 00:06:03,239 Speaker 2: they're exercizing the process of going out of their house 108 00:06:03,560 --> 00:06:05,799 Speaker 2: down to a precinct or in their house in filling 109 00:06:05,880 --> 00:06:09,560 Speaker 2: out an absentee ballot and letting their voices be heard. 110 00:06:09,560 --> 00:06:13,360 Speaker 2: Because I don't know too many people who willingly participate 111 00:06:13,440 --> 00:06:18,040 Speaker 2: in what they find to be a futile experience. Most people, 112 00:06:18,120 --> 00:06:21,120 Speaker 2: if I'm going to take my time, energy effort, in 113 00:06:21,120 --> 00:06:24,039 Speaker 2: some cases money to fuel a gas tank or otherwise, 114 00:06:25,920 --> 00:06:29,600 Speaker 2: it better have an outcome on the other end of it, 115 00:06:30,040 --> 00:06:33,400 Speaker 2: hopefully in the direction that I would like it to go, 116 00:06:34,040 --> 00:06:37,240 Speaker 2: but an outcome nonetheless that can be trusted. And if 117 00:06:37,279 --> 00:06:40,680 Speaker 2: we erode that process, we think we have problems now 118 00:06:40,720 --> 00:06:44,000 Speaker 2: with the couch winning quote unquote, we're really going to 119 00:06:44,040 --> 00:06:47,720 Speaker 2: exacerbate a problem of people deciding to just check completely 120 00:06:47,760 --> 00:06:50,560 Speaker 2: a wholesale out of elections because they don't believe that 121 00:06:50,600 --> 00:06:53,040 Speaker 2: they're legal, that they're fair, or that it will count. 122 00:06:53,279 --> 00:06:56,680 Speaker 2: Let alone the debate around whether it matters because of 123 00:06:57,080 --> 00:06:59,960 Speaker 2: what happens once people get elected, but whether it will count. 124 00:07:00,440 --> 00:07:03,360 Speaker 2: And I think that create that that crisis of confidence 125 00:07:03,400 --> 00:07:07,239 Speaker 2: and a system opens up a whole new barrel for 126 00:07:07,440 --> 00:07:08,200 Speaker 2: us to have to fight. 127 00:07:08,960 --> 00:07:12,160 Speaker 1: I think that's all completely fair. I just want to 128 00:07:12,160 --> 00:07:15,320 Speaker 1: punctuate the point that you made around being careful how 129 00:07:15,360 --> 00:07:17,760 Speaker 1: we talk about it. Something that you said that is 130 00:07:18,640 --> 00:07:21,600 Speaker 1: in real time made me reconsider about midterms is when 131 00:07:21,600 --> 00:07:24,560 Speaker 1: we talk about those down ballot races, when in your 132 00:07:24,600 --> 00:07:29,480 Speaker 1: explanation of Dixiecrats, yes, those down ballot races may not 133 00:07:29,640 --> 00:07:33,280 Speaker 1: be impacted by impropriety. You know, this is like school 134 00:07:33,280 --> 00:07:35,960 Speaker 1: board elections, city council members. So at no point am 135 00:07:36,000 --> 00:07:39,240 Speaker 1: I ever discouraging people from participating in the process. I'm 136 00:07:39,280 --> 00:07:42,400 Speaker 1: really speaking more from a federal perspective. I don't know 137 00:07:42,440 --> 00:07:48,000 Speaker 1: what midterm elections might change. Even should Democrats take seize 138 00:07:48,040 --> 00:07:51,240 Speaker 1: power of the House and or the Senate. I'd be 139 00:07:51,280 --> 00:07:54,400 Speaker 1: curious about what things that have happened that that could 140 00:07:54,440 --> 00:07:57,480 Speaker 1: actually stop. I think there's a big tent in the party. 141 00:07:57,520 --> 00:08:00,440 Speaker 1: There are conservative Democrats. So that's really my perspect in 142 00:08:00,520 --> 00:08:05,520 Speaker 1: terms of your explanation on malfeasance in the past election, 143 00:08:06,000 --> 00:08:07,960 Speaker 1: I just want to be clear there too, I am 144 00:08:08,000 --> 00:08:11,280 Speaker 1: not saying the election was stolen. I'm not saying it wasn't. 145 00:08:11,280 --> 00:08:15,120 Speaker 1: My only thing is before the responsibility for me personally, 146 00:08:15,160 --> 00:08:18,440 Speaker 1: the responsibility I have before an audience. I would not 147 00:08:18,640 --> 00:08:21,800 Speaker 1: say the election is stolen if I have not well 148 00:08:21,920 --> 00:08:25,200 Speaker 1: researched it and said, here is the data chain that 149 00:08:25,320 --> 00:08:28,200 Speaker 1: leads me to that. So I'm simply sharing what Latasha 150 00:08:28,360 --> 00:08:31,080 Speaker 1: said to me, which is why, Yeah, I know, I 151 00:08:31,120 --> 00:08:32,679 Speaker 1: just want to be clear for the audience, because I 152 00:08:32,880 --> 00:08:35,080 Speaker 1: you know, I want them to understand this is what 153 00:08:35,200 --> 00:08:39,199 Speaker 1: I'm told. I have not personally gone down that rabbit 154 00:08:39,240 --> 00:08:41,600 Speaker 1: hole to say, oh, yeah, I see how this can happen. 155 00:08:41,880 --> 00:08:44,360 Speaker 1: I'm curious when you say stuff like county by county, 156 00:08:44,400 --> 00:08:46,080 Speaker 1: because you're not the only person to say that. I 157 00:08:46,080 --> 00:08:47,840 Speaker 1: think Roland Martin did a segment on his shows that 158 00:08:47,880 --> 00:08:51,160 Speaker 1: I haven't watched that I should, and Roland Martin is 159 00:08:51,200 --> 00:08:53,520 Speaker 1: in a stude journalist, so I don't know what he did. 160 00:08:53,600 --> 00:08:55,720 Speaker 1: But a lot of people were saying, oh, Roland Martin 161 00:08:55,720 --> 00:08:58,160 Speaker 1: explored a report by somebody that gave them pause on 162 00:08:58,200 --> 00:09:01,040 Speaker 1: the election. Those are the things that will entice me 163 00:09:01,120 --> 00:09:03,239 Speaker 1: to say, okay, well, let me look at the information. 164 00:09:03,960 --> 00:09:07,040 Speaker 1: I don't know if the election was stolen. I just 165 00:09:07,080 --> 00:09:09,959 Speaker 1: think that some of us, maybe not you, Angela, but 166 00:09:10,000 --> 00:09:12,560 Speaker 1: there are some people out there who are so traumatized 167 00:09:13,000 --> 00:09:17,120 Speaker 1: at the pronouncement of white supremacy in this country that 168 00:09:17,200 --> 00:09:19,440 Speaker 1: we can't even fathom it. That were like, there is 169 00:09:19,520 --> 00:09:22,320 Speaker 1: no way y'all went out and put this half witted 170 00:09:22,440 --> 00:09:26,680 Speaker 1: political idiot back in office after he said every racist, 171 00:09:26,800 --> 00:09:29,680 Speaker 1: awful thing. There is no chance that you all could 172 00:09:29,679 --> 00:09:31,760 Speaker 1: have done that, And that is where I'm torn. I'd 173 00:09:31,800 --> 00:09:34,760 Speaker 1: rather the election be stolen than to know that the 174 00:09:34,800 --> 00:09:37,840 Speaker 1: majority of people in this country right felt this way. 175 00:09:38,000 --> 00:09:40,480 Speaker 1: So I don't know, And I want. 176 00:09:40,320 --> 00:09:42,640 Speaker 4: To back into this a little bit because I had 177 00:09:42,679 --> 00:09:45,200 Speaker 4: to think about, like I know that I did some 178 00:09:45,280 --> 00:09:48,360 Speaker 4: research on the other side of the election, and there 179 00:09:48,360 --> 00:09:51,200 Speaker 4: were definitely reports that were coming out from election experts 180 00:09:51,280 --> 00:09:54,559 Speaker 4: on why this is a very likely phenomenon. So I 181 00:09:54,640 --> 00:09:57,600 Speaker 4: went back and looked. There was a lot of discussion 182 00:09:57,640 --> 00:10:01,600 Speaker 4: around county level manipulations. When we talk about mid term elections, 183 00:10:01,800 --> 00:10:06,000 Speaker 4: we're talking about local state elections, and then of course 184 00:10:06,040 --> 00:10:08,440 Speaker 4: our members of Congress that are elected in those off 185 00:10:08,520 --> 00:10:12,280 Speaker 4: year elections, as well as House of Representatives and senators 186 00:10:12,280 --> 00:10:14,800 Speaker 4: in some instances, I think it's a third normally that 187 00:10:14,880 --> 00:10:19,120 Speaker 4: are up for election. There were five states that one 188 00:10:19,320 --> 00:10:22,599 Speaker 4: entity said needed investigation into whether or not there was 189 00:10:22,600 --> 00:10:25,960 Speaker 4: any count county level manipulation. Please look these up so 190 00:10:25,960 --> 00:10:29,360 Speaker 4: that you're not just going off my smart elections one 191 00:10:29,840 --> 00:10:32,400 Speaker 4: I'm about to I'm about to smart elections is one. 192 00:10:33,400 --> 00:10:38,960 Speaker 4: Election Truth Alliance looked at Clark County, Nevada. The drawing 193 00:10:39,120 --> 00:10:43,160 Speaker 4: off rate in Clark County, Nevada was astonishing to them. 194 00:10:43,400 --> 00:10:45,640 Speaker 4: The way that they would have they flipped from the 195 00:10:45,720 --> 00:10:51,080 Speaker 4: presidential nominee, the two presidential candidates to who they voted 196 00:10:51,080 --> 00:10:55,119 Speaker 4: for in the Senate was astonishing to Election Truth Alliance. 197 00:10:55,559 --> 00:10:58,880 Speaker 1: Additionally, for this as a quock question, when you say 198 00:10:58,920 --> 00:11:02,200 Speaker 1: the drop off, you're saying that people are voting basically 199 00:11:02,240 --> 00:11:04,360 Speaker 1: what Latasha was saying, that at the top they're voting 200 00:11:04,559 --> 00:11:06,280 Speaker 1: Republican and down ballot. 201 00:11:06,640 --> 00:11:13,479 Speaker 4: Ballant as Democrats. Yes, no, yes, even between the fads 202 00:11:13,480 --> 00:11:17,480 Speaker 4: even yes, yes, exactly. And then the other thing is, 203 00:11:17,559 --> 00:11:21,320 Speaker 4: and I forgot about this comment, but Donald Trump said 204 00:11:21,480 --> 00:11:26,520 Speaker 4: right after inauguration that Elon Musk understood the Pennsylvania voting 205 00:11:26,559 --> 00:11:29,719 Speaker 4: machines on a local level better than anyone and they 206 00:11:29,840 --> 00:11:32,760 Speaker 4: ended up winning by a landslide, which caused a lot 207 00:11:32,760 --> 00:11:36,200 Speaker 4: of alarm as well. So if you have someone saying 208 00:11:36,240 --> 00:11:38,959 Speaker 4: that there are five states or an entity that studies 209 00:11:38,960 --> 00:11:42,040 Speaker 4: this five states from an election integrity standpoint that need 210 00:11:42,080 --> 00:11:44,560 Speaker 4: to be looked into because it looks like there could 211 00:11:44,640 --> 00:11:47,959 Speaker 4: be some county by county manipulation. You have the President 212 00:11:48,040 --> 00:11:51,840 Speaker 4: making this pronouncement about Pennsylvania voting machines and Elon Musk, 213 00:11:51,880 --> 00:11:56,880 Speaker 4: and you have this Clark County analysis. And I remember 214 00:11:56,920 --> 00:11:59,080 Speaker 4: going back and looking at what the Attorney General put 215 00:11:59,080 --> 00:12:01,680 Speaker 4: out as well, Stephen horse Ford, to be fair, because 216 00:12:01,679 --> 00:12:04,360 Speaker 4: when I raised was Stephen Horsford, he was like, well. 217 00:12:04,320 --> 00:12:07,959 Speaker 1: The representative of Clark County, uh huh, Las Vegas. 218 00:12:08,240 --> 00:12:11,280 Speaker 4: And he said, well, they've been looking into this for 219 00:12:11,320 --> 00:12:13,880 Speaker 4: some time. It wasn't about this election, but it was 220 00:12:14,040 --> 00:12:14,880 Speaker 4: about this election. 221 00:12:15,280 --> 00:12:15,920 Speaker 3: So I'm not. 222 00:12:15,840 --> 00:12:18,520 Speaker 4: Sure what the dis like, what the issue was, And 223 00:12:18,559 --> 00:12:21,520 Speaker 4: I can't remember when how he responded to my response. Know, 224 00:12:21,559 --> 00:12:24,080 Speaker 4: they are talking about the twenty four election, not twenty two, 225 00:12:24,120 --> 00:12:27,800 Speaker 4: not twenty It was this year. But they did make 226 00:12:27,840 --> 00:12:30,840 Speaker 4: an analysis and have data from the year prior or, 227 00:12:30,880 --> 00:12:34,360 Speaker 4: the presidential prior and the one before that. And they 228 00:12:34,440 --> 00:12:37,600 Speaker 4: show how there was a more significant drop off like 229 00:12:37,640 --> 00:12:40,800 Speaker 4: ten percent from Harris to Jackie Rosen. 230 00:12:41,120 --> 00:12:41,680 Speaker 3: Two women. 231 00:12:41,840 --> 00:12:43,720 Speaker 4: So you also can't say, well, it was a woman thing. 232 00:12:44,000 --> 00:12:45,280 Speaker 1: Two women on the. 233 00:12:45,280 --> 00:12:49,080 Speaker 4: Versus YEP, versus what it was in twenty twenty versus 234 00:12:49,120 --> 00:12:49,920 Speaker 4: twenty sixteen. 235 00:12:51,840 --> 00:12:52,640 Speaker 1: Pennsylvania. 236 00:12:53,360 --> 00:12:56,400 Speaker 3: Yeah, I need to go back, and Nevada was one. 237 00:12:57,080 --> 00:12:58,240 Speaker 3: Pennsylvania was one. 238 00:12:59,200 --> 00:13:01,520 Speaker 1: The interesting thing about those there are two swing states. 239 00:13:02,920 --> 00:13:05,560 Speaker 2: They were a Democrat, I would imagine then Michigan. 240 00:13:07,400 --> 00:13:09,120 Speaker 3: I don't want to even imagine you go back and 241 00:13:09,160 --> 00:13:09,400 Speaker 3: pull on. 242 00:13:11,640 --> 00:13:13,600 Speaker 2: But while you're looking that up, Ange, I'll just say 243 00:13:13,760 --> 00:13:15,800 Speaker 2: in Florida and my race for governor, we had the 244 00:13:15,880 --> 00:13:18,400 Speaker 2: US Senate race at the same time, which of course 245 00:13:18,440 --> 00:13:23,200 Speaker 2: had a white male nominee Democrat on my side, and 246 00:13:23,200 --> 00:13:27,360 Speaker 2: then my race obviously black male Democrat, and there was 247 00:13:27,400 --> 00:13:30,360 Speaker 2: about a point difference. And when I say a point, 248 00:13:30,400 --> 00:13:33,800 Speaker 2: I'm talking about like seventy thousand votes. Who were people 249 00:13:33,840 --> 00:13:36,360 Speaker 2: who were comfortable voting for a Democrat for the US Senate, 250 00:13:36,400 --> 00:13:39,560 Speaker 2: a white male Democrat for the US Senate, and who 251 00:13:39,640 --> 00:13:42,880 Speaker 2: then and the race for governor appeared to have switched 252 00:13:43,160 --> 00:13:49,400 Speaker 2: from their Democratic ballot to choose the Republican nominee. What 253 00:13:49,960 --> 00:13:53,439 Speaker 2: makes it alarming for outside groups who are looking at 254 00:13:53,440 --> 00:13:57,120 Speaker 2: these elections is if you see, usually these habits of 255 00:13:57,160 --> 00:13:59,760 Speaker 2: flipping or going back and forth between D and R 256 00:14:00,280 --> 00:14:03,440 Speaker 2: are sort of well laced. There's a history of it. 257 00:14:03,480 --> 00:14:05,080 Speaker 2: There's a way in which you can go back and 258 00:14:05,160 --> 00:14:09,240 Speaker 2: explain this to be a voting pattern of a particular area, 259 00:14:09,880 --> 00:14:11,880 Speaker 2: be it a whole state or congressional districts, so on 260 00:14:11,920 --> 00:14:15,480 Speaker 2: and so forth. What is anomalous is if there is 261 00:14:15,520 --> 00:14:20,520 Speaker 2: no history, yet you find a significant difference, especially at 262 00:14:20,560 --> 00:14:24,040 Speaker 2: same levels. Right, so you're talking about a statewide race. 263 00:14:24,520 --> 00:14:26,600 Speaker 2: A Senate is a statewide race. A governor is a 264 00:14:26,640 --> 00:14:30,040 Speaker 2: state wide race. So you're looking at two comparable races. 265 00:14:30,520 --> 00:14:33,360 Speaker 2: But then there is a difference between whether folks so 266 00:14:33,640 --> 00:14:35,920 Speaker 2: for a Democrat or a Republican in those seats and 267 00:14:36,080 --> 00:14:40,640 Speaker 2: most states, you can vote an entire Democratic line or 268 00:14:40,680 --> 00:14:43,040 Speaker 2: you can vote an entire Republican line, which means anyone 269 00:14:43,080 --> 00:14:46,239 Speaker 2: who is running for partisan office and they are a Republican, 270 00:14:46,360 --> 00:14:50,360 Speaker 2: your ballot will choose them, and the same for Democrat exactly. 271 00:14:51,120 --> 00:14:53,080 Speaker 2: And then there is there are the people who go 272 00:14:53,200 --> 00:14:55,920 Speaker 2: back and forth. Even when you have to make individual 273 00:14:56,040 --> 00:15:01,960 Speaker 2: selections back and forth. Overwhelmingly, people vote party line ballots. 274 00:15:02,320 --> 00:15:05,320 Speaker 2: That's where anomalies come from when folks don't do that. 275 00:15:05,360 --> 00:15:09,160 Speaker 2: And you see a difference between a statewide race where democrats, 276 00:15:09,520 --> 00:15:11,880 Speaker 2: the Democrat got four million votes and the Republican got 277 00:15:11,920 --> 00:15:15,240 Speaker 2: four point one million votes. But it then switches to 278 00:15:15,280 --> 00:15:18,600 Speaker 2: a governor's race and the Democrat gets three point nine 279 00:15:18,640 --> 00:15:22,360 Speaker 2: million and the Republican got four point two million. That 280 00:15:22,520 --> 00:15:25,880 Speaker 2: is a pretty significant difference without a trait. We have 281 00:15:25,920 --> 00:15:29,120 Speaker 2: to identify what the trait was that made the difference possible. 282 00:15:29,320 --> 00:15:33,120 Speaker 2: In twenty sixteen, this confounded a lot of us because 283 00:15:33,160 --> 00:15:35,440 Speaker 2: we had not seen the kind of drop off that 284 00:15:35,480 --> 00:15:40,120 Speaker 2: we'd seen before between Hillary Clinton and Donald Trump and 285 00:15:40,240 --> 00:15:43,040 Speaker 2: the races that came below them, with folks choosing between 286 00:15:43,080 --> 00:15:46,920 Speaker 2: Democrat Republican. And what we found in later research is 287 00:15:46,960 --> 00:15:51,760 Speaker 2: that Trump was able to hyper activate the white vote turnout, 288 00:15:51,800 --> 00:15:53,480 Speaker 2: and he did the same in this last election. 289 00:15:53,560 --> 00:15:56,600 Speaker 1: In this last election, that is the thing. 290 00:15:56,560 --> 00:16:02,960 Speaker 2: Turnout of white voters about turn out totally skewed. It 291 00:16:02,560 --> 00:16:05,600 Speaker 2: threw all the polling off, of course, but it also 292 00:16:05,720 --> 00:16:08,760 Speaker 2: throws out a lot of these what do you call 293 00:16:08,800 --> 00:16:10,960 Speaker 2: those closing numbers at the end of the day they 294 00:16:10,960 --> 00:16:12,960 Speaker 2: say exit poled numbers and that kind of thing, which 295 00:16:12,960 --> 00:16:15,360 Speaker 2: because these people a lot of practice around exit polling, 296 00:16:15,640 --> 00:16:17,880 Speaker 2: and if they were, they're still not giving an honest answer, 297 00:16:18,280 --> 00:16:20,680 Speaker 2: and so it confounded a lot of us. 298 00:16:29,200 --> 00:16:30,960 Speaker 3: Okay, so just really quick. 299 00:16:31,000 --> 00:16:34,400 Speaker 4: So now I went to the Smart Elections thing and 300 00:16:34,440 --> 00:16:36,360 Speaker 4: they have a chart. I'm just going to send you 301 00:16:36,360 --> 00:16:40,960 Speaker 4: all the link. And they examined seventeen states, and the 302 00:16:41,000 --> 00:16:44,520 Speaker 4: swing states had the most significant drop off versus the 303 00:16:44,600 --> 00:16:45,920 Speaker 4: non swing states for reasons. 304 00:16:46,000 --> 00:16:47,920 Speaker 3: We understand there are swing states for a reason. 305 00:16:48,200 --> 00:16:54,680 Speaker 4: But the swing states were Arizona, Michigan, Nevada, North Carolina, Pennsylvania, 306 00:16:54,760 --> 00:16:57,760 Speaker 4: and Wisconsin. And then there are non swing states where 307 00:16:57,800 --> 00:17:00,240 Speaker 4: there was also drop off, but it was no where 308 00:17:00,280 --> 00:17:03,200 Speaker 4: near I mean it is. It is astonishing. So I'm 309 00:17:03,200 --> 00:17:04,720 Speaker 4: gonna send you guys to craft. 310 00:17:05,080 --> 00:17:07,800 Speaker 1: Send it to me. I remained unconvinced to be honest. 311 00:17:07,840 --> 00:17:11,520 Speaker 1: I mean, I and my challenge is when I'm citing 312 00:17:11,560 --> 00:17:14,480 Speaker 1: someone else's research, I want to know, like, how you 313 00:17:14,520 --> 00:17:16,280 Speaker 1: got this research. And then I got to talk to 314 00:17:16,359 --> 00:17:18,399 Speaker 1: five other people explain to me because this is what 315 00:17:18,400 --> 00:17:20,160 Speaker 1: they said they got how they got the research. Andrew, 316 00:17:20,200 --> 00:17:22,000 Speaker 1: you'd be one of those people like I don't read 317 00:17:22,000 --> 00:17:24,160 Speaker 1: cross tabs and feel all that stuff, Like I don't 318 00:17:24,200 --> 00:17:25,600 Speaker 1: know what I can look at the numbers, and I 319 00:17:25,600 --> 00:17:28,359 Speaker 1: remember I was at Michael Harriet's house when the new 320 00:17:28,000 --> 00:17:31,439 Speaker 1: Pew data drops and I was asking him to explain 321 00:17:31,480 --> 00:17:33,480 Speaker 1: it to me, and we talked about it in our chat. 322 00:17:33,520 --> 00:17:35,560 Speaker 1: Because even the idea, I know we disagree here, Angela, 323 00:17:35,640 --> 00:17:37,560 Speaker 1: but even the idea that the couch won, I don't 324 00:17:37,600 --> 00:17:39,760 Speaker 1: know that that's true, Like the data just does not 325 00:17:39,960 --> 00:17:42,920 Speaker 1: support it, but it's always my So then the couch 326 00:17:42,960 --> 00:17:45,920 Speaker 1: wins every year like that. When you said that that's 327 00:17:45,960 --> 00:17:50,280 Speaker 1: not that craasy number, that's the part that I actually, 328 00:17:50,359 --> 00:17:52,280 Speaker 1: I think it would be nice for us as a 329 00:17:52,320 --> 00:17:55,840 Speaker 1: country to get to a place where democracy was winning 330 00:17:56,040 --> 00:18:01,160 Speaker 1: enough that one candidate at least superseded that ninety million number. Yeah, 331 00:18:01,200 --> 00:18:04,240 Speaker 1: to me, that's that's I think, And specifically about this 332 00:18:04,359 --> 00:18:07,320 Speaker 1: idea that in this election it was so crazy because 333 00:18:07,400 --> 00:18:09,679 Speaker 1: ninety million people stayed home, and when you look at 334 00:18:09,760 --> 00:18:12,600 Speaker 1: over all the cycles, that is pretty consistent with how 335 00:18:12,600 --> 00:18:15,000 Speaker 1: many people stayed home. And then when you dig deeper 336 00:18:15,040 --> 00:18:18,119 Speaker 1: and you disaggregate this data, you go down each rabbit 337 00:18:18,160 --> 00:18:21,359 Speaker 1: hole individually, and that requires a collection of research, and 338 00:18:21,600 --> 00:18:23,919 Speaker 1: it's boring, right, It's like boring to sit there and 339 00:18:23,920 --> 00:18:25,919 Speaker 1: it takes hours and days to get to ask people. 340 00:18:26,160 --> 00:18:28,040 Speaker 1: But when you go across that and look at all 341 00:18:28,080 --> 00:18:31,320 Speaker 1: of it, and it'saggregated by race, this dude, the same 342 00:18:31,320 --> 00:18:34,840 Speaker 1: way that Obama brought out the highest number of black 343 00:18:34,920 --> 00:18:38,359 Speaker 1: voters and the lowest number of white voters, Donald Trump 344 00:18:38,680 --> 00:18:43,920 Speaker 1: ignited a movement among white people. And that is my challenge. Yes, 345 00:18:44,400 --> 00:18:47,080 Speaker 1: that is my challenge here because if that's what it 346 00:18:47,119 --> 00:18:50,520 Speaker 1: took for you all to participate in this here democracy, 347 00:18:50,920 --> 00:18:54,280 Speaker 1: and you were motivated. They were united in our destruction, 348 00:18:54,640 --> 00:18:59,520 Speaker 1: they are united in our failures in this country. They're 349 00:18:59,600 --> 00:19:01,800 Speaker 1: united and making sure that we never even get what 350 00:19:01,840 --> 00:19:04,280 Speaker 1: they have or come close. And they are so motivated 351 00:19:04,320 --> 00:19:06,360 Speaker 1: by that that they put this man back in office. 352 00:19:06,480 --> 00:19:09,159 Speaker 1: That is the part I have challenged, and I understand 353 00:19:09,200 --> 00:19:10,960 Speaker 1: why people are like, no, this can't be right, Like 354 00:19:11,000 --> 00:19:13,800 Speaker 1: this can't be true. I just have not seen all 355 00:19:13,840 --> 00:19:17,240 Speaker 1: the depth the New York Times analysis, Pew, all the 356 00:19:17,359 --> 00:19:20,080 Speaker 1: data I've looked at, nothing has supported a that the 357 00:19:20,119 --> 00:19:23,359 Speaker 1: couch has won, b that the election was stolen, even 358 00:19:23,359 --> 00:19:27,119 Speaker 1: in these swing states, that you're talking about. I remain open. 359 00:19:27,600 --> 00:19:30,080 Speaker 1: You know, I'm not saying this with certainty, but I 360 00:19:30,320 --> 00:19:35,439 Speaker 1: just feel some level of disgust that these people have 361 00:19:36,600 --> 00:19:40,399 Speaker 1: that they were motivated by him to come out. I 362 00:19:40,440 --> 00:19:42,440 Speaker 1: would love to hear that the election is stolen, because 363 00:19:42,480 --> 00:19:44,679 Speaker 1: I'm like, oh, these people, we have to cohabitate with 364 00:19:44,720 --> 00:19:46,920 Speaker 1: our fellow countrymen. They're actually not pieces of shit, and 365 00:19:46,920 --> 00:19:49,680 Speaker 1: they're actually not so bad. There's only a small number. 366 00:19:49,920 --> 00:19:50,000 Speaker 2: No. 367 00:19:50,240 --> 00:19:53,280 Speaker 1: What this election showed me is, yeah, ancient chains, they 368 00:19:53,280 --> 00:19:56,760 Speaker 1: are still awful people who voted for this man because 369 00:19:56,760 --> 00:19:58,760 Speaker 1: they don't like you and they don't like brown people. 370 00:19:59,240 --> 00:20:00,920 Speaker 1: That's I'm experiencing it. 371 00:20:01,800 --> 00:20:05,359 Speaker 2: I think we can if we talked about narcissism, it 372 00:20:05,359 --> 00:20:08,320 Speaker 2: would be a narcissist thing to say if we believe 373 00:20:08,359 --> 00:20:13,680 Speaker 2: that folks were motivated exclusively by why, Because I think 374 00:20:13,760 --> 00:20:19,080 Speaker 2: it's probably more complicated than simple. I think it can 375 00:20:19,160 --> 00:20:21,560 Speaker 2: be racist. Oh no, no, I'm not giving racist. I 376 00:20:21,600 --> 00:20:24,920 Speaker 2: think you can be racist, have racist belief in tendencies 377 00:20:25,000 --> 00:20:26,840 Speaker 2: ninety nine percent of your day in time or one 378 00:20:26,880 --> 00:20:28,879 Speaker 2: hundred percent of your day in time, and still have 379 00:20:28,920 --> 00:20:32,719 Speaker 2: other motivations for doing a thing beyond just being racist. 380 00:20:32,840 --> 00:20:35,320 Speaker 2: Is what I'm saying it doesn't make them better people. 381 00:20:35,840 --> 00:20:40,000 Speaker 2: It just means that they had motivations forgetting out and voting. 382 00:20:40,040 --> 00:20:42,760 Speaker 2: And by the way, a motivation had to be first 383 00:20:42,760 --> 00:20:47,040 Speaker 2: of all, when Barack Obama ran, these same white folks 384 00:20:47,040 --> 00:20:51,200 Speaker 2: could have been motivated equally like that Ma's Gillham that 385 00:20:51,200 --> 00:20:53,439 Speaker 2: that movie where at the end in California, like the 386 00:20:53,440 --> 00:20:56,280 Speaker 2: polls will be closing and whatever you know, Chris Rock 387 00:20:56,320 --> 00:20:58,840 Speaker 2: I think is the main character of that movie, and 388 00:20:59,080 --> 00:21:01,560 Speaker 2: they everybody's pulled out their driveway and rush into the 389 00:21:01,560 --> 00:21:03,680 Speaker 2: polls to go and vote to make sure the black 390 00:21:03,680 --> 00:21:06,080 Speaker 2: man didn't win. But just as they were motivated to 391 00:21:06,119 --> 00:21:08,880 Speaker 2: see Donald Trump, when they could have equally been motivated 392 00:21:08,880 --> 00:21:11,520 Speaker 2: to prevent a black man from winning the presidency. I mean, 393 00:21:12,520 --> 00:21:15,160 Speaker 2: in real time, they could have showed up in unprecedented 394 00:21:15,240 --> 00:21:18,479 Speaker 2: numbers to stop that from happening, and couldn't do it 395 00:21:18,520 --> 00:21:21,760 Speaker 2: every time, quite frankly up to now and probably beyond 396 00:21:21,800 --> 00:21:24,960 Speaker 2: for several election cycles, because that's just where the numbers 397 00:21:25,000 --> 00:21:28,800 Speaker 2: are when it comes to electoral performance. That if white 398 00:21:28,880 --> 00:21:31,960 Speaker 2: folks wanted to vote and vote the way they vote 399 00:21:32,040 --> 00:21:35,000 Speaker 2: right now, which is white men overwhelmingly Republican and white 400 00:21:35,040 --> 00:21:39,640 Speaker 2: women consistently over a majority Republican So if they could 401 00:21:39,680 --> 00:21:42,159 Speaker 2: have done that, then if this was only going to 402 00:21:42,200 --> 00:21:46,280 Speaker 2: be about race, but they didn't. But they didn't do that, 403 00:21:46,359 --> 00:21:49,080 Speaker 2: then they did not prevent that from happening. And they 404 00:21:49,080 --> 00:21:51,320 Speaker 2: could have, and they could have done it even with 405 00:21:51,400 --> 00:21:53,840 Speaker 2: fewer of them showing up than showed up to support Trump, 406 00:21:54,560 --> 00:21:57,000 Speaker 2: and in this case, they wanted Trump. And I will 407 00:21:57,119 --> 00:21:59,879 Speaker 2: just I'm layering on this that in addition to not 408 00:22:00,080 --> 00:22:05,399 Speaker 2: wanting a black woman there, it can also be that 409 00:22:05,440 --> 00:22:07,800 Speaker 2: there's some other things that were being communicated in that. 410 00:22:07,760 --> 00:22:13,160 Speaker 1: Missing voted against her or they voted for him either 411 00:22:13,200 --> 00:22:14,639 Speaker 1: and both make them racist. 412 00:22:14,640 --> 00:22:18,560 Speaker 2: Series it's a difference without distinction. Completely agree. All I'm 413 00:22:18,560 --> 00:22:21,919 Speaker 2: saying is is that if that were the only motivator 414 00:22:21,960 --> 00:22:25,920 Speaker 2: by itself, then why didn't that motivator also keep Barack 415 00:22:25,960 --> 00:22:27,120 Speaker 2: Obama from office? 416 00:22:27,640 --> 00:22:28,920 Speaker 1: They weren't engaged then, And. 417 00:22:31,200 --> 00:22:34,240 Speaker 4: Since that's not true, some of them, some of them 418 00:22:34,280 --> 00:22:38,080 Speaker 4: were voted, were voting to demonstrate they weren't racist. I'm looking, 419 00:22:38,160 --> 00:22:40,719 Speaker 4: I'm trying to see where I'm missing this too, but 420 00:22:40,760 --> 00:22:43,680 Speaker 4: is then looked up In twenty four ninety million people 421 00:22:43,760 --> 00:22:46,359 Speaker 4: didn't vote in twenty eighty million people didn't vote, and 422 00:22:46,359 --> 00:22:49,280 Speaker 4: so it was the highest turnout and voter participation since 423 00:22:49,359 --> 00:22:51,639 Speaker 4: nineteen o eight, and twenty four was the second highest 424 00:22:51,640 --> 00:22:55,520 Speaker 4: since nineteen sixty. In twenty sixteen, one hundred million people 425 00:22:55,560 --> 00:22:57,720 Speaker 4: didn't vote, and I'm trying to figure out what the 426 00:22:57,760 --> 00:23:01,000 Speaker 4: twenty twelve and two thousand and eight numbers are tour, 427 00:23:03,200 --> 00:23:05,760 Speaker 4: which is fine, but I don't remember it and sometimes 428 00:23:06,320 --> 00:23:07,320 Speaker 4: might not remember it either. 429 00:23:07,480 --> 00:23:10,919 Speaker 1: I'm not saying that, I'm just saying I don't just 430 00:23:10,960 --> 00:23:13,640 Speaker 1: so people know I'm not googling something during the show, 431 00:23:14,000 --> 00:23:15,200 Speaker 1: because sometimes numbers are. 432 00:23:15,400 --> 00:23:17,840 Speaker 4: I am googling it during the show because I'm trying 433 00:23:17,840 --> 00:23:20,199 Speaker 4: to figure out where the breakdown is. I think what 434 00:23:20,280 --> 00:23:22,000 Speaker 4: I was trying to get to is at the end 435 00:23:22,000 --> 00:23:24,679 Speaker 4: of the day, what we know is voter participation is 436 00:23:24,720 --> 00:23:26,960 Speaker 4: not where it should be in this country, and as 437 00:23:27,000 --> 00:23:31,040 Speaker 4: a result, that means that democracy has consistently been failing 438 00:23:31,080 --> 00:23:34,040 Speaker 4: people because it doesn't feel like people power. So people 439 00:23:34,080 --> 00:23:36,640 Speaker 4: are not going to lean into a system where they 440 00:23:36,680 --> 00:23:39,679 Speaker 4: do not feel represented, which brings us full circle to 441 00:23:39,720 --> 00:23:41,600 Speaker 4: the point of this show. Because I know we are 442 00:23:41,600 --> 00:23:44,880 Speaker 4: supposed to be leaving like really soon and closing out 443 00:23:44,880 --> 00:23:45,440 Speaker 4: it really soon. 444 00:23:46,840 --> 00:23:48,160 Speaker 3: What we are struggling with. 445 00:23:48,240 --> 00:23:50,920 Speaker 4: I think all in all is telling people counting down 446 00:23:50,960 --> 00:23:55,240 Speaker 4: to the days where their circumstances are going to dramatically change, 447 00:23:55,440 --> 00:23:59,000 Speaker 4: counting down to the days where a midterm election means 448 00:23:59,320 --> 00:24:01,320 Speaker 4: that all of sudden, now things are going to be 449 00:24:01,359 --> 00:24:03,880 Speaker 4: sky as blue, things are great. That is not how 450 00:24:03,920 --> 00:24:07,120 Speaker 4: it's feeling, because even while we had a reprieve from 451 00:24:07,160 --> 00:24:11,160 Speaker 4: twenty sixteen to twenty twenty, things still haven't drastically changed 452 00:24:11,160 --> 00:24:13,560 Speaker 4: for a number of people in our communities. And so 453 00:24:13,680 --> 00:24:17,080 Speaker 4: while we count down, let us also be intentional about 454 00:24:17,119 --> 00:24:19,200 Speaker 4: the work that needs to shift that is in our 455 00:24:19,280 --> 00:24:23,040 Speaker 4: power to do, and be recruiting people that can dramatically 456 00:24:23,160 --> 00:24:27,160 Speaker 4: change circumstances because they are showing real courage. Whether it's 457 00:24:27,160 --> 00:24:29,800 Speaker 4: one hundred million or eighty million or ninety million, tip, 458 00:24:30,119 --> 00:24:32,840 Speaker 4: it is too many people who are sitting out of 459 00:24:32,920 --> 00:24:36,880 Speaker 4: participating in this democracy, and that means that the democracy 460 00:24:36,960 --> 00:24:39,719 Speaker 4: has to change. I think at the verities we can 461 00:24:39,760 --> 00:24:40,720 Speaker 4: all agree on that point. 462 00:24:41,000 --> 00:24:43,640 Speaker 1: I can definitely agree. Yeah, none of us ever disagree. 463 00:24:43,680 --> 00:24:46,040 Speaker 1: My only point was to present it like ninety million 464 00:24:46,080 --> 00:24:48,080 Speaker 1: people didn't vote this time, as though that was some 465 00:24:48,080 --> 00:24:53,480 Speaker 1: sort of anomalycessys crisis that's when I say crisis that 466 00:24:54,160 --> 00:24:58,240 Speaker 1: has happened over a lot of election cycles unfortunately in 467 00:24:58,280 --> 00:24:58,760 Speaker 1: the country. 468 00:24:58,880 --> 00:25:00,600 Speaker 2: And my question is with you to. 469 00:25:04,200 --> 00:25:08,120 Speaker 4: So, yeah, let's let's get let's fix that. 470 00:25:11,240 --> 00:25:15,199 Speaker 2: Find the idea of the couch one. It's good on 471 00:25:15,240 --> 00:25:19,000 Speaker 2: a shirt, but it doesn't have effectual impact in the 472 00:25:19,080 --> 00:25:21,800 Speaker 2: sense that when the couch wins, then the couch gets 473 00:25:21,800 --> 00:25:27,240 Speaker 2: to decide what happens. And in our democracy, the one 474 00:25:27,240 --> 00:25:30,520 Speaker 2: who actually wins gets to decide the policy. And so 475 00:25:30,640 --> 00:25:34,680 Speaker 2: when the couch starts laying people off and federal agencies 476 00:25:34,720 --> 00:25:38,720 Speaker 2: all throughout the land, then they won. But so long 477 00:25:38,760 --> 00:25:42,600 Speaker 2: as they're there. The in the sense that more people 478 00:25:42,720 --> 00:25:45,640 Speaker 2: sat the couch than got out and voted for any 479 00:25:45,680 --> 00:25:52,080 Speaker 2: one particular candidate, it is. It is a cool observation. However, 480 00:25:52,160 --> 00:25:56,520 Speaker 2: the effect of winning to me is you governed. Winning 481 00:25:56,560 --> 00:25:59,320 Speaker 2: means you're in charge. Winning means you get to do 482 00:25:59,400 --> 00:26:03,520 Speaker 2: the thing that you're inclined to do. And unfortunately the 483 00:26:03,560 --> 00:26:05,880 Speaker 2: couch didn't win because I don't think the couch would 484 00:26:05,880 --> 00:26:07,480 Speaker 2: have done what Donald Trump has been doing. 485 00:26:07,960 --> 00:26:08,480 Speaker 3: I think. 486 00:26:10,560 --> 00:26:15,080 Speaker 2: I think it should absorb as much time as we've 487 00:26:15,119 --> 00:26:18,040 Speaker 2: given the couches one, because it is semantical, and it 488 00:26:18,119 --> 00:26:22,400 Speaker 2: has created a debate that I think again ends up 489 00:26:23,400 --> 00:26:27,840 Speaker 2: talking about numbers rather than what is I think a greater, bigger, larger, 490 00:26:27,880 --> 00:26:31,359 Speaker 2: comprehensive point, and that is around a democracy and a 491 00:26:31,480 --> 00:26:36,679 Speaker 2: system of representative democracy that has failed so miserably that 492 00:26:36,720 --> 00:26:39,880 Speaker 2: the majority of people are choosing I will stay out 493 00:26:40,320 --> 00:26:43,040 Speaker 2: rather than have an impact on which one of these 494 00:26:43,040 --> 00:26:44,439 Speaker 2: fools end up serving. 495 00:26:45,560 --> 00:26:47,679 Speaker 1: This is a conversation. No, that's fine. This is a 496 00:26:47,720 --> 00:26:50,240 Speaker 1: conversation that I think will be ongoing because I don't 497 00:26:50,240 --> 00:26:53,000 Speaker 1: think we've resolved. Do we need to start telling people? 498 00:26:53,520 --> 00:26:55,480 Speaker 1: Do we need to continue to tell people how many 499 00:26:55,560 --> 00:26:57,880 Speaker 1: days until midterms? So I guess for now we'll keep 500 00:26:57,920 --> 00:27:00,760 Speaker 1: doing it. But what I love about this conversation I 501 00:27:00,760 --> 00:27:03,960 Speaker 1: have to be honest, all three of us feel very differently, 502 00:27:04,440 --> 00:27:08,159 Speaker 1: and I surmised that among our audience that there are 503 00:27:08,200 --> 00:27:11,320 Speaker 1: groups of each like. We each have followers who are like, yes, 504 00:27:11,480 --> 00:27:14,359 Speaker 1: what Angela is saying, Angela's right? Yes, what Ti He's saying? Yes, 505 00:27:14,440 --> 00:27:15,280 Speaker 1: what Andrew was saying? 506 00:27:15,720 --> 00:27:21,120 Speaker 2: Occasionally a good point, yes, even in your whole. 507 00:27:21,040 --> 00:27:24,280 Speaker 1: Like narcissism shade that you threw to me. I actually 508 00:27:24,359 --> 00:27:27,040 Speaker 1: take that point and think about it. I think about it. 509 00:27:28,200 --> 00:27:30,119 Speaker 2: I said it's narcissistic. Believe that. 510 00:27:30,920 --> 00:27:32,720 Speaker 1: I think that's agree. 511 00:27:33,520 --> 00:27:33,720 Speaker 2: All the. 512 00:27:35,600 --> 00:27:38,359 Speaker 4: Narcissists was thrown around a lot in the show before 513 00:27:38,520 --> 00:27:39,560 Speaker 4: in this show, and I. 514 00:27:39,640 --> 00:27:41,640 Speaker 2: Just want to because you got called it for yourself 515 00:27:43,119 --> 00:27:44,159 Speaker 2: asking about tips too. 516 00:27:44,200 --> 00:27:46,360 Speaker 4: I'm just saying, we like that should be the default, 517 00:27:46,440 --> 00:27:48,800 Speaker 4: Like y'all need to stop watching the social media videos, 518 00:27:48,880 --> 00:27:50,840 Speaker 4: like let me tell you how to find a narcissist, 519 00:27:50,960 --> 00:27:54,040 Speaker 4: like everything is it the way. 520 00:27:54,359 --> 00:27:56,640 Speaker 3: You're not actually believe it's actually. 521 00:27:59,000 --> 00:28:02,280 Speaker 1: But let us know it's it's over killed. 522 00:28:02,320 --> 00:28:04,040 Speaker 4: And I do think that we have to do the 523 00:28:04,119 --> 00:28:08,120 Speaker 4: hard work of unpacking again. We might have some flat side, Yeah, 524 00:28:09,800 --> 00:28:12,440 Speaker 4: trying to We're just trying to solve. Friends, We're just 525 00:28:12,480 --> 00:28:13,040 Speaker 4: trying to solve. 526 00:28:13,320 --> 00:28:14,640 Speaker 2: Don't take up space with me either. 527 00:28:16,000 --> 00:28:17,119 Speaker 1: We must hold space. 528 00:28:19,200 --> 00:28:20,639 Speaker 3: Have a boundary. You have a boundary. 529 00:28:21,280 --> 00:28:26,200 Speaker 1: We have the boundaries, all the therapy words. Okay with that, 530 00:28:26,920 --> 00:28:30,400 Speaker 1: I'm running. Y'all can keep going, but I'm kind I'm out. 531 00:28:31,359 --> 00:28:34,080 Speaker 1: Thank y'all for listening. There are we'll know how many 532 00:28:34,160 --> 00:28:36,119 Speaker 1: days the midterm alexis because we don't never don't have 533 00:28:36,160 --> 00:28:40,840 Speaker 1: to anyway. We will see y'all next time. Welcome home, y'all. 534 00:28:54,760 --> 00:28:57,680 Speaker 4: Native Lampard is a production of iHeart Radio and partnership 535 00:28:57,760 --> 00:28:58,960 Speaker 4: with Reason Choice Media. 536 00:28:59,280 --> 00:29:02,320 Speaker 3: For more podcas we ask for iHeartRadio visits, iHeartRadio app, 537 00:29:02,400 --> 00:29:05,400 Speaker 3: Apple Podcasts, or wherever you listen to your favorite shows.