1 00:00:01,200 --> 00:00:05,040 Speaker 1: Hey, guys, Welcome back to another episode of Normally the 2 00:00:05,040 --> 00:00:07,720 Speaker 1: show with normalist takes, but when the news gets weird. 3 00:00:07,840 --> 00:00:09,360 Speaker 1: I am Mary Catherine Ham. 4 00:00:09,400 --> 00:00:12,320 Speaker 2: And I am Carold Markowitz, and it is a very 5 00:00:12,480 --> 00:00:15,440 Speaker 2: weird week here at normally End around the. 6 00:00:15,440 --> 00:00:19,920 Speaker 1: Country, it is. Indeed, it is, as you are listening, 7 00:00:20,640 --> 00:00:23,880 Speaker 1: Election day the day. Although we have like kind of 8 00:00:23,880 --> 00:00:28,200 Speaker 1: election season now because a lot of people early vote, 9 00:00:28,560 --> 00:00:31,440 Speaker 1: Election day itself is a day when there's not as 10 00:00:31,520 --> 00:00:34,880 Speaker 1: much to talk about, somewhat ironically, because people are doing 11 00:00:34,920 --> 00:00:37,680 Speaker 1: the thing we've been waiting for them to do, right. 12 00:00:37,520 --> 00:00:40,720 Speaker 2: But every single friend of mine is blowing up my 13 00:00:40,800 --> 00:00:41,880 Speaker 2: phone like, so what do you think? 14 00:00:41,920 --> 00:00:42,960 Speaker 3: What do you think is going to happen? 15 00:00:43,360 --> 00:00:47,720 Speaker 1: Yep, So wow, we don't have actual info for this day. 16 00:00:47,840 --> 00:00:50,599 Speaker 1: We can talk about the projected info and what we 17 00:00:50,640 --> 00:00:54,680 Speaker 1: think about it. There was a very sort of in 18 00:00:54,720 --> 00:00:59,000 Speaker 1: the political world, somewhat earth shattering poll that came out. 19 00:00:59,760 --> 00:01:02,160 Speaker 1: Was it Saturday Night over the weekend? Yeah, over the 20 00:01:02,160 --> 00:01:06,120 Speaker 1: weekend by Anne Selzer, who is a polster in Iowa 21 00:01:06,400 --> 00:01:10,000 Speaker 1: who is considered very reliable, sort of a gold standard 22 00:01:10,520 --> 00:01:15,920 Speaker 1: of polster reliable, particularly in Iowa. So her work is 23 00:01:16,000 --> 00:01:18,840 Speaker 1: important to people who study these things, and she came 24 00:01:18,880 --> 00:01:21,560 Speaker 1: out with a pole with Harris up three. 25 00:01:21,920 --> 00:01:24,280 Speaker 2: In Iowa, which Trump is supposed to win. 26 00:01:24,760 --> 00:01:28,840 Speaker 1: Yes, this is important because Trump generally during his career 27 00:01:29,040 --> 00:01:32,200 Speaker 1: has basically turned Iowa red. He was the one who 28 00:01:32,280 --> 00:01:35,440 Speaker 1: did it. Obama turned it blue. Trump took it back 29 00:01:35,480 --> 00:01:39,160 Speaker 1: red by pretty large margins. So if this is real, 30 00:01:39,640 --> 00:01:42,800 Speaker 1: it signals real trouble for him in other places in 31 00:01:42,840 --> 00:01:43,479 Speaker 1: the Midwest. 32 00:01:43,760 --> 00:01:46,840 Speaker 2: Right, it could be a bell weather for other states 33 00:01:47,000 --> 00:01:51,200 Speaker 2: and it could be very bad for him or today. 34 00:01:51,080 --> 00:01:53,280 Speaker 1: The broader picture. By the way, in the five thirty 35 00:01:53,280 --> 00:01:55,160 Speaker 1: eight average, which is another one of these nerdy things 36 00:01:55,200 --> 00:01:58,360 Speaker 1: that everyone looks at, Trump now leads forty nine percent 37 00:01:58,400 --> 00:02:00,960 Speaker 1: to forty six point five percent, which may not sound 38 00:02:01,000 --> 00:02:02,800 Speaker 1: like much, as Jim Garretty puts it, but by the 39 00:02:02,840 --> 00:02:06,240 Speaker 1: standards of swing states during this election, is a landslide 40 00:02:06,720 --> 00:02:09,519 Speaker 1: over on Real Clear Politics, which is another aggregate of polls, 41 00:02:09,560 --> 00:02:11,959 Speaker 1: Trump has led eighteen of the last twenty three poles 42 00:02:11,960 --> 00:02:15,120 Speaker 1: in Arizona, and in the RCP average, Trump leads forty 43 00:02:15,160 --> 00:02:18,679 Speaker 1: eight point nine to forty six point three, So it's 44 00:02:19,120 --> 00:02:24,120 Speaker 1: more stable slash more leaning Trump in those areas. But 45 00:02:24,160 --> 00:02:26,760 Speaker 1: a lot of people are just saying this is very tight. 46 00:02:27,200 --> 00:02:30,520 Speaker 2: Yeah, we just it's so funny because I see so 47 00:02:30,600 --> 00:02:35,160 Speaker 2: many people on x Twitter saying it's going to be 48 00:02:35,200 --> 00:02:39,240 Speaker 2: a landslide for their candidate, and it's not the same candidate. 49 00:02:39,600 --> 00:02:42,520 Speaker 2: You see a lot of Harris people and a lot 50 00:02:42,520 --> 00:02:46,679 Speaker 2: of Trump people saying I envision a landslide and it 51 00:02:46,720 --> 00:02:49,640 Speaker 2: could happen. That's the other weird thing about these The 52 00:02:49,680 --> 00:02:52,600 Speaker 2: poles are so tight, so tight. But if all the 53 00:02:52,639 --> 00:02:55,160 Speaker 2: states break one way, we do have a landslide, and 54 00:02:55,320 --> 00:02:59,000 Speaker 2: suddenly it's like not that tight. But going into today 55 00:02:59,240 --> 00:03:03,119 Speaker 2: it is an extremely close race. I don't know who 56 00:03:03,120 --> 00:03:06,120 Speaker 2: the undecideds are at this point. Apparently they do still 57 00:03:06,160 --> 00:03:09,119 Speaker 2: exist in some tiny numbers. I find that very hard 58 00:03:09,160 --> 00:03:12,720 Speaker 2: to believe. But they're getting these people to the polls 59 00:03:12,800 --> 00:03:14,240 Speaker 2: and we'll see what happens. 60 00:03:14,720 --> 00:03:16,960 Speaker 4: Do you think we're gonna have an answer tonight? 61 00:03:17,360 --> 00:03:19,160 Speaker 2: I mean or early morning tomorrow. 62 00:03:19,760 --> 00:03:22,640 Speaker 1: So I joke that this is more of a prayer 63 00:03:22,680 --> 00:03:26,839 Speaker 1: than a data based guest. But I am hoping there's 64 00:03:26,880 --> 00:03:30,080 Speaker 1: a Wednesday by Wednesday call. Would love that. 65 00:03:31,200 --> 00:03:34,960 Speaker 2: I believe that we went to Saturday landslide, right, it 66 00:03:35,000 --> 00:03:40,200 Speaker 2: would probably mean some definitive things have happened well. 67 00:03:40,200 --> 00:03:41,760 Speaker 1: And this is the theory, by the way, that I've 68 00:03:41,800 --> 00:03:44,160 Speaker 1: heard for why Trump is spending so much time in 69 00:03:44,200 --> 00:03:47,280 Speaker 1: North Carolina, because people are saying, well, if he feels 70 00:03:47,280 --> 00:03:50,280 Speaker 1: good about North Carolina, Whisey there so much because he's 71 00:03:50,360 --> 00:03:54,839 Speaker 1: jumping North Carolina, Georgia, Virginia a little bit, and Pennsylvania 72 00:03:54,960 --> 00:03:58,600 Speaker 1: a lot. So some people's theories that they're spending all 73 00:03:58,600 --> 00:04:00,880 Speaker 1: that time there because they want a lot. Those three 74 00:04:00,960 --> 00:04:05,440 Speaker 1: down during the Eastern time zone, right, so the returns 75 00:04:05,480 --> 00:04:08,600 Speaker 1: come back across the country at different times. If he 76 00:04:08,840 --> 00:04:11,560 Speaker 1: is looking like he's doing well in those three states 77 00:04:12,080 --> 00:04:16,360 Speaker 1: early in the night, yeah, we have more information more early, 78 00:04:16,440 --> 00:04:21,479 Speaker 1: and it probably encourages people further west, etc. And you 79 00:04:21,520 --> 00:04:23,960 Speaker 1: don't get this long drawn out thing. So that might 80 00:04:24,080 --> 00:04:27,000 Speaker 1: be what is happening there. Just as a data point, 81 00:04:27,040 --> 00:04:31,360 Speaker 1: this is where the campaigns will be on the final day. 82 00:04:31,440 --> 00:04:37,080 Speaker 1: Trump Raleigh, North Carolina, Redden, Pennsylvania, Pittsburgh, Pennsylvania, Grand Rapids, Michigan. 83 00:04:37,520 --> 00:04:43,480 Speaker 1: Harris's final day schedule Scranton, Pennsylvania, Allentown, Pennsylvania, Pittsburgh, Pennsylvania, Philadelphia, Pennsylvania. 84 00:04:43,560 --> 00:04:47,919 Speaker 1: So you can see what each candidate is concentrating on 85 00:04:49,160 --> 00:04:51,240 Speaker 1: she seems concerned about Pennsylvania. 86 00:04:51,839 --> 00:04:56,520 Speaker 2: Yeah, and you know I tweeted about this yesterday. But 87 00:04:56,720 --> 00:05:00,280 Speaker 2: these last minute ads from the Harris campaign that like, 88 00:05:00,760 --> 00:05:02,960 Speaker 2: you know, vote for me, It'll be our little secret. 89 00:05:03,320 --> 00:05:07,840 Speaker 3: I don't want to tell anyone. I find them odd. 90 00:05:07,560 --> 00:05:10,320 Speaker 2: And I wonder who they appeal to. The last one 91 00:05:11,080 --> 00:05:13,960 Speaker 2: was voiced by George Clooney. It showed these masculine men 92 00:05:14,080 --> 00:05:16,960 Speaker 2: going into the voting booth and you maybe think they're 93 00:05:16,960 --> 00:05:19,200 Speaker 2: going to vote for Donald Trump, but they actually vote 94 00:05:19,200 --> 00:05:23,480 Speaker 2: for Kamala Harris. And it's a whole like you don't 95 00:05:23,520 --> 00:05:25,240 Speaker 2: have to do what you're told kind of thing. 96 00:05:25,320 --> 00:05:27,320 Speaker 3: And I don't know who this is. 97 00:05:27,839 --> 00:05:30,039 Speaker 2: I've never met people who don't want to tell you 98 00:05:30,360 --> 00:05:31,839 Speaker 2: that they're voting for Democrats. 99 00:05:31,960 --> 00:05:34,839 Speaker 3: It's usually the other way around, even from red states. 100 00:05:35,400 --> 00:05:38,240 Speaker 1: Yes, so I know a lot of liberals and a 101 00:05:38,240 --> 00:05:40,960 Speaker 1: lot of conservatives like you. I grew up in a 102 00:05:41,040 --> 00:05:43,800 Speaker 1: liberal town, but I am conservative. So I have like 103 00:05:44,200 --> 00:05:49,440 Speaker 1: two very different circles that sometimes overlap. Never have I 104 00:05:49,520 --> 00:05:54,039 Speaker 1: seen I shouldn't say never, almost never have I seen 105 00:05:54,040 --> 00:05:56,400 Speaker 1: a social cost for saying I'm voting for the Democrat 106 00:05:56,440 --> 00:05:57,280 Speaker 1: for president. 107 00:05:57,080 --> 00:05:58,919 Speaker 2: Exactly, Even again in red states. 108 00:05:58,960 --> 00:06:01,240 Speaker 3: I don't think in Florida there's a social cost for it. 109 00:06:01,320 --> 00:06:03,080 Speaker 2: I know, I know people who are voting for the 110 00:06:03,080 --> 00:06:06,200 Speaker 2: Democrats and they live in Florida, and that's just, you know, 111 00:06:06,320 --> 00:06:08,359 Speaker 2: a normal thing. I see, we see Harris signed. My 112 00:06:08,440 --> 00:06:09,200 Speaker 2: kids point them out. 113 00:06:09,240 --> 00:06:11,799 Speaker 4: I say, yeah, people, you know, we vote whoever they want. 114 00:06:11,640 --> 00:06:13,320 Speaker 3: And that's how it goes. 115 00:06:13,560 --> 00:06:16,200 Speaker 2: It's just it's it's an interesting closing message to me 116 00:06:16,320 --> 00:06:20,640 Speaker 2: because they clearly think that they are shy Harris voters 117 00:06:20,680 --> 00:06:24,240 Speaker 2: out there who need to be nudged to the polls. Now, 118 00:06:24,360 --> 00:06:27,960 Speaker 2: what's interesting about this to me also is that for 119 00:06:28,040 --> 00:06:31,920 Speaker 2: the last few elections, polsters had a hard time polling 120 00:06:31,960 --> 00:06:35,520 Speaker 2: Donald Trump supporters. And they've had that hard time because 121 00:06:36,120 --> 00:06:38,200 Speaker 2: there was a social cost to saying, you're voting for 122 00:06:38,240 --> 00:06:39,600 Speaker 2: the garbage nazi. 123 00:06:39,279 --> 00:06:42,640 Speaker 3: Right, you're voting for Hitler. How could you tell that. 124 00:06:42,600 --> 00:06:43,760 Speaker 4: To a stranger on the phone. 125 00:06:44,440 --> 00:06:46,800 Speaker 2: Now, the question is have they figured it out for 126 00:06:46,880 --> 00:06:51,000 Speaker 2: this time or are these polls still under counting Trump supporters. 127 00:06:51,240 --> 00:06:53,960 Speaker 2: If they are under counting Trump supporters, we actually might 128 00:06:54,000 --> 00:06:55,800 Speaker 2: have a landslide on that night. 129 00:06:56,320 --> 00:07:02,080 Speaker 1: That's the big question. If the polling assumptions under rate 130 00:07:02,800 --> 00:07:06,160 Speaker 1: turnout for Trump, as they have in the past. Now, 131 00:07:06,200 --> 00:07:08,080 Speaker 1: the tricky thing about this is that Trump's trying to 132 00:07:08,080 --> 00:07:12,320 Speaker 1: pull from new populations. He hasn't He hasn't done gen 133 00:07:12,480 --> 00:07:15,840 Speaker 1: Z male voters via podcast before, right, so this is 134 00:07:15,880 --> 00:07:19,880 Speaker 1: a different thing. Minority voters by the way, reading Pennsylvania 135 00:07:20,520 --> 00:07:24,120 Speaker 1: is a majority Latino town in Pennsylvania that he will 136 00:07:24,120 --> 00:07:28,560 Speaker 1: be going to today on that quest. But yeah, that's 137 00:07:28,560 --> 00:07:31,640 Speaker 1: the question. If if they're undermes estimated as they were 138 00:07:31,680 --> 00:07:36,200 Speaker 1: in twenty twenty and twenty sixteen, then he might very 139 00:07:36,200 --> 00:07:38,800 Speaker 1: well run away with this thing. But if the assumptions 140 00:07:38,840 --> 00:07:40,000 Speaker 1: are correct, or. 141 00:07:39,960 --> 00:07:41,480 Speaker 3: Maybe if they figured it out. 142 00:07:41,800 --> 00:07:46,880 Speaker 1: Yes, then it really is quite even. Nate Cohane, by 143 00:07:46,880 --> 00:07:50,120 Speaker 1: the way, who runs the New York Times Siena poll, 144 00:07:50,520 --> 00:07:54,120 Speaker 1: which came with very different suggestions of what might happen 145 00:07:54,280 --> 00:07:57,840 Speaker 1: than the than the Sellser poll, and the New York 146 00:07:57,840 --> 00:08:01,480 Speaker 1: Times poll has been an ongoing polling situation. The Salesor 147 00:08:01,480 --> 00:08:05,480 Speaker 1: poll is kind of a one off. He was saying 148 00:08:05,680 --> 00:08:11,960 Speaker 1: that Republicans are sixteen points less likely to answer right 149 00:08:12,280 --> 00:08:14,760 Speaker 1: the survey, which is a that's a real thing. 150 00:08:15,080 --> 00:08:17,040 Speaker 3: Yep, Yeah, that makes sense. 151 00:08:17,040 --> 00:08:19,520 Speaker 2: Again, if there's been this social cost for so long 152 00:08:20,000 --> 00:08:23,440 Speaker 2: and you're so used to hiding who you're voting for. 153 00:08:23,920 --> 00:08:26,400 Speaker 2: I think that there is some has to be some 154 00:08:26,480 --> 00:08:29,360 Speaker 2: truth to that, right. I also wonder about exit polls. 155 00:08:29,400 --> 00:08:32,520 Speaker 2: I also think about you know, I'm looking to see 156 00:08:32,600 --> 00:08:34,040 Speaker 2: what the Jewish vote is going to do. 157 00:08:34,000 --> 00:08:34,720 Speaker 4: This time around. 158 00:08:34,720 --> 00:08:37,560 Speaker 2: But even last time, where Donald Trump got thirty percent, 159 00:08:37,920 --> 00:08:40,280 Speaker 2: I do wonder if it was maybe higher because they 160 00:08:40,360 --> 00:08:44,559 Speaker 2: don't want to a first time Republican voter, your lifelong Democrat, 161 00:08:44,640 --> 00:08:47,240 Speaker 2: you're voting Republican for the first time in that Republican 162 00:08:47,280 --> 00:08:48,040 Speaker 2: is Donald Trump. 163 00:08:48,520 --> 00:08:49,280 Speaker 3: I did kind of. 164 00:08:49,240 --> 00:08:53,079 Speaker 2: Wonder if those numbers were higher than they said. 165 00:08:53,840 --> 00:08:57,280 Speaker 1: Right from the Cook Political Report, This Dave Wasserman, who 166 00:08:57,360 --> 00:09:00,720 Speaker 1: is a person just worth listening to because he knows 167 00:09:01,200 --> 00:09:03,920 Speaker 1: so many more of the numbers than I do. But 168 00:09:04,040 --> 00:09:07,120 Speaker 1: he notes Uncook Political Report, and I think this sums 169 00:09:07,120 --> 00:09:09,400 Speaker 1: it up pretty well. Will it be a turnout surge 170 00:09:09,440 --> 00:09:13,239 Speaker 1: of Trump bro gen z men, a post Dobbs backlash 171 00:09:13,240 --> 00:09:16,400 Speaker 1: of working class pro choice women, a decline in black 172 00:09:16,440 --> 00:09:19,760 Speaker 1: turnout and support for Democrats, a late EBB and Latino 173 00:09:19,760 --> 00:09:23,400 Speaker 1: support for Trump, especially concentrated among Puerto Rican voters. That 174 00:09:23,520 --> 00:09:27,920 Speaker 1: is the reference to the joke by Tony Hinchcliffe at 175 00:09:27,960 --> 00:09:31,440 Speaker 1: the msg rally, which there is there. I saw a 176 00:09:31,640 --> 00:09:34,319 Speaker 1: glimpse of one little pole that did actually ask about 177 00:09:34,360 --> 00:09:37,440 Speaker 1: that and found some movement. But there's also a political 178 00:09:37,520 --> 00:09:42,160 Speaker 1: piece today that says Trump's gains with Pennsylvania Latinos are real, 179 00:09:42,559 --> 00:09:46,160 Speaker 1: maybe enough to withstand that joke which seems a little 180 00:09:46,520 --> 00:09:50,800 Speaker 1: seems a little pessimistic from Politico on that point today. 181 00:09:50,880 --> 00:09:54,800 Speaker 2: Yeah, I'm not sure that that joke, by not Donald Trump, 182 00:09:55,640 --> 00:09:56,440 Speaker 2: moves the needle. 183 00:09:56,640 --> 00:09:57,640 Speaker 4: I did see, you. 184 00:09:57,600 --> 00:10:02,800 Speaker 2: Know, the Puerto Rican musician who Donald Trump actually misgendered 185 00:10:02,840 --> 00:10:06,120 Speaker 2: at one point. He said she's really hot and it's 186 00:10:06,120 --> 00:10:08,319 Speaker 2: a guy has. 187 00:10:08,240 --> 00:10:09,240 Speaker 1: That sounds very own. 188 00:10:11,120 --> 00:10:14,679 Speaker 2: Maybe that's what he meant to say, but you know 189 00:10:15,400 --> 00:10:16,959 Speaker 2: that guy has withdrawn his support. 190 00:10:17,080 --> 00:10:17,880 Speaker 4: Maybe it matters. 191 00:10:17,960 --> 00:10:21,920 Speaker 2: Jennifer Lopez of course, cried about about that joke and 192 00:10:21,920 --> 00:10:24,440 Speaker 2: about a lot of other things. 193 00:10:24,480 --> 00:10:26,800 Speaker 4: I'm sure, I don't know. 194 00:10:26,920 --> 00:10:30,840 Speaker 2: I feel like this is still Donald Trump's race to lose, 195 00:10:31,000 --> 00:10:33,920 Speaker 2: and again the fact that it could go either way, 196 00:10:34,280 --> 00:10:36,520 Speaker 2: you know, doesn't even need to be said. Obviously, like 197 00:10:37,440 --> 00:10:40,760 Speaker 2: tomorrow or you know, tonight, we might find out that 198 00:10:41,400 --> 00:10:44,400 Speaker 2: Kamala Harris sweeps these dates. We don't know, I would 199 00:10:44,440 --> 00:10:47,960 Speaker 2: say to people listening that it's going to be okay, 200 00:10:48,400 --> 00:10:51,800 Speaker 2: and that you have to find a way to care 201 00:10:51,840 --> 00:10:55,400 Speaker 2: about this. I do care about this result, but to 202 00:10:55,440 --> 00:10:57,600 Speaker 2: move forward if it doesn't make center. 203 00:10:57,360 --> 00:10:58,959 Speaker 4: That you hope that it will. 204 00:10:59,040 --> 00:11:02,600 Speaker 1: Yeah, I agree, And I think the other thing for 205 00:11:02,679 --> 00:11:05,360 Speaker 1: our countrymen and women is having some grace for the 206 00:11:05,360 --> 00:11:09,520 Speaker 1: fact that many, many people are not super fans and 207 00:11:09,559 --> 00:11:12,360 Speaker 1: are voting just like people have always voted for someone 208 00:11:12,400 --> 00:11:16,280 Speaker 1: who best comes close to the kind of things they 209 00:11:16,360 --> 00:11:19,559 Speaker 1: care about, who might be able to help a little 210 00:11:19,559 --> 00:11:23,160 Speaker 1: bit on the margins like that is that's often what 211 00:11:23,200 --> 00:11:25,800 Speaker 1: people are voting for. So have some grace for that, 212 00:11:25,840 --> 00:11:27,480 Speaker 1: because there's a lot of reasons that you could make 213 00:11:27,520 --> 00:11:32,640 Speaker 1: different decisions based on your family situation and your ideological beliefs. 214 00:11:33,679 --> 00:11:35,800 Speaker 1: By the way, one note on the Latino vote. I 215 00:11:35,840 --> 00:11:39,960 Speaker 1: was reading this political piece and Kamala Harris has been 216 00:11:40,040 --> 00:11:45,080 Speaker 1: to reading Pennsylvania not since twenty twenty three, before she 217 00:11:45,320 --> 00:11:48,640 Speaker 1: was the nominee. Trump has been there in vance, have 218 00:11:48,720 --> 00:11:51,960 Speaker 1: been there several times, and in the closing days Waltz 219 00:11:52,000 --> 00:11:55,200 Speaker 1: has been there once for a tiny dinner with like 220 00:11:55,320 --> 00:11:57,920 Speaker 1: sort of elite leaders in the community. So that's just 221 00:11:57,960 --> 00:12:03,280 Speaker 1: a there's a pattern of Democrats taking certain voters for granted, 222 00:12:03,520 --> 00:12:08,040 Speaker 1: uh huh, and those voters not liking it. Right, The 223 00:12:08,080 --> 00:12:10,480 Speaker 1: other side of the coin is that Democrats are really 224 00:12:10,520 --> 00:12:12,760 Speaker 1: good at turning out voters that they've taken for granted. 225 00:12:14,080 --> 00:12:16,480 Speaker 2: Of call there, Yes, that's the thing, you know, we've 226 00:12:16,480 --> 00:12:19,920 Speaker 2: talked about it on the show, where certain groups have 227 00:12:20,000 --> 00:12:23,080 Speaker 2: become more likely to say that they're pro Trump out 228 00:12:23,120 --> 00:12:25,800 Speaker 2: loud than they ever were before, say black men. 229 00:12:26,240 --> 00:12:27,920 Speaker 4: But then you still have to move that. 230 00:12:28,040 --> 00:12:31,160 Speaker 2: From the conversations that they're having into the voting booth. 231 00:12:31,280 --> 00:12:34,120 Speaker 2: And who knows, maybe Republicans have figured it out, maybe 232 00:12:34,160 --> 00:12:35,880 Speaker 2: they haven't. We're about to find out. 233 00:12:36,280 --> 00:12:42,240 Speaker 1: We'll be right back on normally, it's a plus for 234 00:12:42,559 --> 00:12:46,040 Speaker 1: Republicans that the Senate map, as they call it, is 235 00:12:46,080 --> 00:12:49,000 Speaker 1: extremely positive for them. They're not fighting on a bunch 236 00:12:49,040 --> 00:12:52,360 Speaker 1: of vulnerable ground. They're fighting in several places where they're 237 00:12:52,520 --> 00:12:55,800 Speaker 1: likely to turn a blue seat red. Those places are 238 00:12:55,920 --> 00:13:02,160 Speaker 1: West Virginia quite certainly in the in the bag that's 239 00:13:02,240 --> 00:13:07,679 Speaker 1: Jim Justice taking mansions open seat in West Virginia and Montana, 240 00:13:07,840 --> 00:13:10,320 Speaker 1: where Tim Sheehy has run a very good race against 241 00:13:10,360 --> 00:13:14,319 Speaker 1: long time incumbent John Tester, who has been Teflon tester 242 00:13:14,520 --> 00:13:15,320 Speaker 1: when it comes. 243 00:13:15,120 --> 00:13:18,559 Speaker 2: To how does Montana have a democratic You know, Senator, 244 00:13:18,600 --> 00:13:19,640 Speaker 2: it's wild. 245 00:13:19,400 --> 00:13:22,120 Speaker 1: It's real, but he does. They do seem nervous about 246 00:13:22,120 --> 00:13:26,440 Speaker 1: that race. She he took a lead like semi substantially 247 00:13:27,080 --> 00:13:30,040 Speaker 1: about a month ago. It felt like uh. And certainly 248 00:13:30,840 --> 00:13:33,920 Speaker 1: some Democrats have been nervous in Wisconsin where Huvedy the 249 00:13:33,960 --> 00:13:38,720 Speaker 1: Republican is running strongly against Tammy Baldwin, the incumbent Democrat. 250 00:13:39,120 --> 00:13:42,600 Speaker 1: So I think this is another thing to tell yourself, 251 00:13:43,000 --> 00:13:45,880 Speaker 1: is that if you happen to favor Donald Trump and 252 00:13:45,960 --> 00:13:50,280 Speaker 1: Kamala Harris becomes president, there will likely be a Republican Senate. 253 00:13:50,920 --> 00:13:51,760 Speaker 3: Yeah. 254 00:13:52,040 --> 00:13:54,400 Speaker 2: Yeah, I don't know what you're going to tell yourself 255 00:13:54,480 --> 00:13:56,560 Speaker 2: if Donald Trump becomes president. 256 00:13:57,040 --> 00:13:58,360 Speaker 3: Sorry, we don't have advice for you. 257 00:13:58,480 --> 00:14:04,920 Speaker 1: I mean just you know, I just do believe that 258 00:14:05,000 --> 00:14:11,000 Speaker 1: in many cases, despite I think both teams irresponsible behavior 259 00:14:11,040 --> 00:14:14,040 Speaker 1: at times, the beauty of our system is that it 260 00:14:14,080 --> 00:14:19,400 Speaker 1: can hold up to challenges. And that's what I comfort myself. 261 00:14:20,360 --> 00:14:23,600 Speaker 1: Even the electoral college. The electoral college is the reason 262 00:14:23,880 --> 00:14:25,560 Speaker 1: that none of us know what's going to happen, and 263 00:14:25,600 --> 00:14:29,840 Speaker 1: it's actually in the voter's hands because a tiny number 264 00:14:29,880 --> 00:14:33,480 Speaker 1: of voters in these states can change it from a 265 00:14:33,520 --> 00:14:35,800 Speaker 1: really close call to an electoral landslide. 266 00:14:36,160 --> 00:14:36,680 Speaker 4: Yeah. 267 00:14:36,800 --> 00:14:39,960 Speaker 2: I mean a prediction we can make is if Kamala 268 00:14:40,000 --> 00:14:43,440 Speaker 2: happens to win the popular vote and Donald Trump wins 269 00:14:43,440 --> 00:14:47,480 Speaker 2: electoral college, I think Democrats will go pretty hard against 270 00:14:47,520 --> 00:14:48,920 Speaker 2: the electoral college. 271 00:14:49,280 --> 00:14:51,000 Speaker 3: I can imagine that happening. 272 00:14:51,240 --> 00:14:53,160 Speaker 1: It could also go the other way around, and people 273 00:14:53,200 --> 00:14:54,880 Speaker 1: like you and I would probably be like, Okay, guys, 274 00:14:54,960 --> 00:14:57,280 Speaker 1: calm down. The electoral college is actually very important for 275 00:14:57,320 --> 00:14:58,040 Speaker 1: these reasons. 276 00:14:58,160 --> 00:14:58,640 Speaker 4: Yeah. 277 00:14:58,720 --> 00:15:00,800 Speaker 2: Yeah, let's us keep it anyway, even if it didn't 278 00:15:00,800 --> 00:15:01,320 Speaker 2: go our way. 279 00:15:01,880 --> 00:15:07,160 Speaker 1: Yeah. Can we talk about the little kerfuffle with NBC? Yes, okay, 280 00:15:07,200 --> 00:15:09,040 Speaker 1: So I think we've got a clip of this. Kamala 281 00:15:09,080 --> 00:15:13,640 Speaker 1: Harris appeared on Saturday Night Live, the last Saturday before 282 00:15:13,640 --> 00:15:18,960 Speaker 1: the election, on NBC's broadcast network. Here she is with 283 00:15:18,960 --> 00:15:22,240 Speaker 1: with Maya Rudolph playing her and the two are looking 284 00:15:22,280 --> 00:15:23,520 Speaker 1: through a mirror at each other. 285 00:15:25,120 --> 00:15:28,480 Speaker 5: Nice to see you, Kamala. It is nice to see you, Kamala, 286 00:15:28,600 --> 00:15:31,760 Speaker 5: And I'm just here to remind you you got this 287 00:15:32,520 --> 00:15:35,760 Speaker 5: because you can do something your opponent cannot do. 288 00:15:35,920 --> 00:15:37,400 Speaker 1: You can open doors. 289 00:15:43,640 --> 00:15:44,960 Speaker 3: I see what you did. I like to be a 290 00:15:45,080 --> 00:15:52,360 Speaker 3: garbage truck. Right, I don't really laugh like. 291 00:15:52,320 --> 00:15:54,359 Speaker 4: That, do I? 292 00:15:53,280 --> 00:15:55,360 Speaker 2: A little bit? 293 00:15:56,560 --> 00:15:58,840 Speaker 1: Not Kamala, take my Pamela. 294 00:16:01,800 --> 00:16:05,320 Speaker 5: The American people want to stop the chaos. 295 00:16:05,200 --> 00:16:10,040 Speaker 6: And end the dramaa with a cool new step Mamala, 296 00:16:11,120 --> 00:16:15,360 Speaker 6: kick back in our pajamaa's and watch a rom Kamala 297 00:16:16,760 --> 00:16:21,400 Speaker 6: like legally Blondola, and start decorating for Christmas. 298 00:16:21,760 --> 00:16:26,320 Speaker 3: Follow la la la, because what do we always say? 299 00:16:26,760 --> 00:16:28,520 Speaker 3: Keep Kamala and carry on? 300 00:16:28,680 --> 00:16:28,960 Speaker 6: Alah? 301 00:16:34,200 --> 00:16:36,080 Speaker 1: All right, what do you think? 302 00:16:37,680 --> 00:16:40,680 Speaker 2: That's actually the first time I've seen it, So you're 303 00:16:40,680 --> 00:16:43,800 Speaker 2: getting a live reaction of I am embarrassed. 304 00:16:44,800 --> 00:16:46,400 Speaker 3: I want to like hide my eyes. 305 00:16:47,200 --> 00:16:51,280 Speaker 2: That was not good, and it was not good, and 306 00:16:51,320 --> 00:16:53,840 Speaker 2: it could have been good. She started out sort of 307 00:16:54,120 --> 00:16:56,120 Speaker 2: making fun of herself. Do I really laugh like that? 308 00:16:56,800 --> 00:16:59,840 Speaker 1: If she continued, you get points that for me every time? 309 00:17:00,160 --> 00:17:04,120 Speaker 4: Sure, any self deprecating humor. I think when it went 310 00:17:04,160 --> 00:17:04,680 Speaker 4: a long way. 311 00:17:05,280 --> 00:17:07,560 Speaker 2: There was a segment of said in a night Live 312 00:17:07,600 --> 00:17:10,760 Speaker 2: that I did see where Tim Kaine, you know, talks 313 00:17:10,800 --> 00:17:13,120 Speaker 2: to a liberal voter who says it's the most important 314 00:17:13,119 --> 00:17:16,080 Speaker 2: election of our lifetime, and he says, well, I ran 315 00:17:16,880 --> 00:17:18,720 Speaker 2: eight years ago and you said that was the most 316 00:17:18,720 --> 00:17:22,080 Speaker 2: important election of our lifetime. What's my name? And the 317 00:17:22,119 --> 00:17:25,200 Speaker 2: liberal voter can't name him? And it was very well done. 318 00:17:25,280 --> 00:17:28,959 Speaker 2: Tim Kaine understood that, you know, he's kind of forgettable. 319 00:17:28,440 --> 00:17:31,919 Speaker 4: And what are you going to do? But this was 320 00:17:32,000 --> 00:17:32,560 Speaker 4: not funny. 321 00:17:32,720 --> 00:17:35,639 Speaker 2: And I also, I know, I know there's a big 322 00:17:35,680 --> 00:17:38,680 Speaker 2: kerfuffle about the fact that they didn't give Donald Trump 323 00:17:38,760 --> 00:17:41,840 Speaker 2: equal time. One of the people I follow on X, 324 00:17:41,880 --> 00:17:45,200 Speaker 2: Michael Schellenberg, is all over it, and I get it. 325 00:17:44,880 --> 00:17:49,400 Speaker 2: It's it's important to not have these channels just break 326 00:17:49,440 --> 00:17:53,399 Speaker 2: the rules and nobody cares. But I don't know that 327 00:17:53,480 --> 00:17:55,760 Speaker 2: this would move the needle who saw this and was like, 328 00:17:56,280 --> 00:17:58,640 Speaker 2: I was going to vote for Donald Trump, but now 329 00:17:58,640 --> 00:17:59,320 Speaker 2: I'm voting for this. 330 00:17:59,400 --> 00:18:04,159 Speaker 1: So I but that the skit with Maya Rudolph was cute, 331 00:18:04,560 --> 00:18:07,560 Speaker 1: but it was cute because my Rudolph is cute, Yes, 332 00:18:07,840 --> 00:18:11,360 Speaker 1: and I appreciated the self deprecation. I would say. There's 333 00:18:11,440 --> 00:18:14,440 Speaker 1: there's this moment where they open where the camera goes 334 00:18:14,480 --> 00:18:17,919 Speaker 1: to Kamala Harris and again, I know I am talk 335 00:18:17,960 --> 00:18:19,240 Speaker 1: about this all the time, but she's been doing this 336 00:18:19,280 --> 00:18:23,800 Speaker 1: for decades. The camera comes to her, obviously there's going 337 00:18:23,840 --> 00:18:27,760 Speaker 1: to be applause, right this is the reveal. She talks 338 00:18:27,840 --> 00:18:31,040 Speaker 1: right through the applause. No one can hear her. She's 339 00:18:31,080 --> 00:18:35,159 Speaker 1: delivering her lines, And I just, how have you been 340 00:18:35,200 --> 00:18:37,720 Speaker 1: doing this for decades and you don't know like's they're 341 00:18:37,720 --> 00:18:39,960 Speaker 1: going to reveal you. People are going to cheer, take 342 00:18:39,960 --> 00:18:42,359 Speaker 1: your moment and then launch into it. So that's just 343 00:18:42,480 --> 00:18:46,400 Speaker 1: a skill issue that she has. I don't care about 344 00:18:46,400 --> 00:18:49,760 Speaker 1: the equal time rule. It is. It should be enforced 345 00:18:49,840 --> 00:18:53,560 Speaker 1: equally since it's on the books, but it probably shouldn't 346 00:18:53,560 --> 00:18:55,560 Speaker 1: be on the books because it's a dinosaur from a 347 00:18:55,600 --> 00:19:02,080 Speaker 1: time when we had three networks. However, Trump did get 348 00:19:02,560 --> 00:19:05,280 Speaker 1: a minute and a half two minutes for free on 349 00:19:05,480 --> 00:19:12,040 Speaker 1: NBC during the Sunday night football broadcast because they're required 350 00:19:12,080 --> 00:19:14,280 Speaker 1: to give it to him, and so he did basically 351 00:19:14,320 --> 00:19:19,480 Speaker 1: like up straight to camera political ad on football night, 352 00:19:19,480 --> 00:19:24,320 Speaker 1: which is like, you know, pretty good targeting of male voters. Yeah, 353 00:19:24,400 --> 00:19:26,080 Speaker 1: not that we don't watch football. We do. 354 00:19:26,240 --> 00:19:27,359 Speaker 4: We do watch football. 355 00:19:27,480 --> 00:19:30,359 Speaker 2: Again, I don't know that any needles will be moved 356 00:19:30,560 --> 00:19:34,560 Speaker 2: there either. I again, like, you think it's the right 357 00:19:34,600 --> 00:19:37,679 Speaker 2: thing to do because the rules on the books, and I. 358 00:19:37,680 --> 00:19:39,080 Speaker 4: Think the rules rather silly. 359 00:19:39,119 --> 00:19:44,160 Speaker 2: But if it's there, let's force it, But who who's 360 00:19:44,160 --> 00:19:47,000 Speaker 2: at home on Sunday night still deciding who they're voting 361 00:19:47,040 --> 00:19:47,679 Speaker 2: for today? 362 00:19:47,880 --> 00:19:48,520 Speaker 4: Who are you? 363 00:19:48,600 --> 00:19:49,000 Speaker 3: People? 364 00:19:49,160 --> 00:19:49,520 Speaker 4: Tell me? 365 00:19:49,800 --> 00:19:50,720 Speaker 3: Tell me who you are. 366 00:19:51,119 --> 00:19:53,760 Speaker 2: We talk to us normally the pod at gmail dot 367 00:19:53,800 --> 00:19:57,159 Speaker 2: com Sunday tail us election. You were undecided about what 368 00:19:57,200 --> 00:19:57,840 Speaker 2: you were going to do. 369 00:19:58,040 --> 00:20:00,000 Speaker 4: And it has to be between the two candidates. 370 00:20:00,080 --> 00:20:02,440 Speaker 2: It can't be like the candidate or staying home because 371 00:20:02,440 --> 00:20:03,880 Speaker 2: I am staying home. 372 00:20:03,960 --> 00:20:04,320 Speaker 4: I do. 373 00:20:05,000 --> 00:20:08,280 Speaker 1: I get that too. So the Kine thing I enjoyed too. 374 00:20:08,320 --> 00:20:12,480 Speaker 1: So Tim Kaine is the now basically anonymous Virginia senator 375 00:20:12,720 --> 00:20:15,840 Speaker 1: who was Hillary Clinton's running mate. And the game show 376 00:20:17,000 --> 00:20:20,640 Speaker 1: skit was name this person, and they would just show 377 00:20:20,680 --> 00:20:22,720 Speaker 1: you a picture of someone and you'd have to name them. 378 00:20:22,920 --> 00:20:25,960 Speaker 1: And of course the contestant, a good liberal, knew who 379 00:20:26,040 --> 00:20:30,000 Speaker 1: Doug Imhoff was, knew who the special counsel was, Like 380 00:20:30,040 --> 00:20:32,760 Speaker 1: who you know? Whoever? They throw up? And I think 381 00:20:32,800 --> 00:20:37,040 Speaker 1: my favorite part was when I said, in twenty twenty, 382 00:20:37,080 --> 00:20:40,800 Speaker 1: you tweeted this list of names of black victims of 383 00:20:40,920 --> 00:20:46,080 Speaker 1: police violence and said remember their names. So my question 384 00:20:46,160 --> 00:20:48,960 Speaker 1: to you is what is one of their names? And 385 00:20:48,960 --> 00:20:51,919 Speaker 1: he gets very excited and the host goes, that is 386 00:20:52,000 --> 00:20:57,399 Speaker 1: not George Floyd so good, even better. The answer is 387 00:20:59,440 --> 00:21:02,680 Speaker 1: to me know, Lens, and I just I want to 388 00:21:02,720 --> 00:21:05,480 Speaker 1: applaud Mullaney. John mulaney was the comic and the host 389 00:21:05,600 --> 00:21:09,360 Speaker 1: and the writers for for that one, because I enjoyed it. 390 00:21:09,359 --> 00:21:10,040 Speaker 4: It was excellent. 391 00:21:10,200 --> 00:21:12,680 Speaker 1: It actually secured liberals for the thing that they do. 392 00:21:12,960 --> 00:21:16,720 Speaker 2: Yeah, and that's they're funny when they kind of poke 393 00:21:16,760 --> 00:21:21,320 Speaker 2: at both sides. They're not funny when they're singing Hallelujah 394 00:21:21,359 --> 00:21:26,640 Speaker 2: after Hillary Clinton losers. Funny can be good no matter 395 00:21:26,680 --> 00:21:29,680 Speaker 2: who's being made fun of. H don't get preachy, don't 396 00:21:29,680 --> 00:21:32,440 Speaker 2: get sanctimonious, don't sing us songs. 397 00:21:32,880 --> 00:21:35,800 Speaker 1: Yes, not that hard. Hung Cow, by the way, is 398 00:21:35,840 --> 00:21:39,359 Speaker 1: a is the candidate Republican candidate for Senate in Virginia 399 00:21:39,800 --> 00:21:42,800 Speaker 1: against him Kane. And he put out a great statement 400 00:21:42,920 --> 00:21:46,879 Speaker 1: because people were saying, hey, Hung Cow now needs to 401 00:21:46,920 --> 00:21:49,679 Speaker 1: get time for equal time, which may actually be the rules. 402 00:21:50,160 --> 00:21:52,159 Speaker 1: And Hung Cow put out a great statement that was like, 403 00:21:52,840 --> 00:21:54,399 Speaker 1: you know, he was in New York and I was 404 00:21:54,440 --> 00:21:58,639 Speaker 1: barnstorming Virginia. So I think he's made the contrast for me. 405 00:21:59,040 --> 00:22:00,000 Speaker 4: Ooh, it's good. 406 00:22:00,920 --> 00:22:02,240 Speaker 1: I thought that was quite good. 407 00:22:02,560 --> 00:22:03,880 Speaker 3: Is that raised closed or. 408 00:22:05,440 --> 00:22:08,320 Speaker 1: Well? Virginia's probably not very close, so I doubt that 409 00:22:08,400 --> 00:22:12,200 Speaker 1: hun Cow, who is a very impressive veteran, will pull 410 00:22:12,200 --> 00:22:15,800 Speaker 1: off that race. Certainly, the young Cain turnout machine is 411 00:22:15,880 --> 00:22:19,400 Speaker 1: much better and more sophisticated than in years past we've 412 00:22:19,400 --> 00:22:23,160 Speaker 1: had for Republicans in Virginia. I have heard. Incidentally, since 413 00:22:23,160 --> 00:22:25,800 Speaker 1: we're doing tea leaf reading, I've heard I've been asking 414 00:22:25,840 --> 00:22:30,439 Speaker 1: suburban moms in northern Virginia are you getting door knocks? 415 00:22:30,520 --> 00:22:34,360 Speaker 1: Are you getting outreach? Because Harris says she's reaching these 416 00:22:34,400 --> 00:22:39,600 Speaker 1: women my soft are as. They're called moderate Republican, not 417 00:22:39,800 --> 00:22:44,600 Speaker 1: very friendly to Trump women friends, and no door knocks 418 00:22:44,600 --> 00:22:47,680 Speaker 1: for any of them. Right, Kamala has more money than God. 419 00:22:47,760 --> 00:22:51,320 Speaker 1: I know that Virginia is not in play, but like so, 420 00:22:51,440 --> 00:22:55,600 Speaker 1: no door knocks. But a friend of mine in northern 421 00:22:55,680 --> 00:23:01,080 Speaker 1: Virginia got three door knocks from a very enthusiastic Asian 422 00:23:01,119 --> 00:23:04,919 Speaker 1: American voters and canvassers for Trump. 423 00:23:05,720 --> 00:23:08,200 Speaker 2: Interesting, Wow, Okay. 424 00:23:08,080 --> 00:23:10,159 Speaker 1: I was not expecting that to be where the energy 425 00:23:10,320 --> 00:23:11,760 Speaker 1: was in Northern Virgins. 426 00:23:11,840 --> 00:23:12,439 Speaker 3: Really funny. 427 00:23:12,960 --> 00:23:15,560 Speaker 1: Yeah, and I wonder if that's young can turnout machine. 428 00:23:15,720 --> 00:23:19,960 Speaker 2: Yeah, there's also about the whole shy Harris voter there's 429 00:23:20,000 --> 00:23:24,639 Speaker 2: a story where some Harris door knockers are asking for 430 00:23:24,880 --> 00:23:26,600 Speaker 2: the woman of the house to come to the door 431 00:23:26,640 --> 00:23:29,960 Speaker 2: and the man is saying no, And from this they're 432 00:23:30,160 --> 00:23:32,359 Speaker 2: deducing that the woman's like being kept in a cage 433 00:23:32,520 --> 00:23:34,840 Speaker 2: or in the basement or something, right, Whereas all these 434 00:23:34,880 --> 00:23:37,600 Speaker 2: women on X are saying, well, no, my husband answers 435 00:23:37,680 --> 00:23:40,240 Speaker 2: the door because he's digging strong and can bite. 436 00:23:40,040 --> 00:23:41,040 Speaker 1: Off an intruder. 437 00:23:41,240 --> 00:23:43,320 Speaker 2: And I don't want to talk to strangers, that's the 438 00:23:43,359 --> 00:23:46,440 Speaker 2: main part. I don't want to talk to you, so 439 00:23:46,600 --> 00:23:48,879 Speaker 2: he does the dirty work for me, and I'm not 440 00:23:48,960 --> 00:23:50,440 Speaker 2: actually living in a cage. 441 00:23:50,720 --> 00:23:50,920 Speaker 5: Yeah. 442 00:23:51,000 --> 00:23:55,119 Speaker 1: You asked who these ads appeal to, and I think, actually, 443 00:23:56,200 --> 00:24:00,480 Speaker 1: I'm not sure it's an effective appeal to soft Republican 444 00:24:00,760 --> 00:24:04,919 Speaker 1: women who I don't think see their marriages as emotionally 445 00:24:04,960 --> 00:24:07,600 Speaker 1: abusive and that they have to hide things like that 446 00:24:07,680 --> 00:24:10,040 Speaker 1: is a dynamic that can exist, but when you put 447 00:24:10,200 --> 00:24:13,439 Speaker 1: so many people in that bucket, it's sort of extremely condescending. 448 00:24:14,040 --> 00:24:19,240 Speaker 1: I think it's targeted at their other giant constituency of women, 449 00:24:19,280 --> 00:24:22,680 Speaker 1: which is unmarried liberal women who. 450 00:24:22,520 --> 00:24:24,560 Speaker 2: Want to imagine that these married women. 451 00:24:25,280 --> 00:24:28,959 Speaker 1: Yes, I don't know, Yeah, I guess so or that 452 00:24:29,000 --> 00:24:32,959 Speaker 1: there are so many unmarried liberal women who think this 453 00:24:33,000 --> 00:24:36,040 Speaker 1: way about marriage in the Democratic Party. Yes, they're writing 454 00:24:36,080 --> 00:24:38,520 Speaker 1: the ads and creating this right. 455 00:24:38,480 --> 00:24:42,000 Speaker 2: They have no idea what actually goes on, and they 456 00:24:42,040 --> 00:24:42,720 Speaker 2: think that they. 457 00:24:42,600 --> 00:24:44,480 Speaker 1: Know, but it seems off base. 458 00:24:44,800 --> 00:24:45,000 Speaker 4: Yeah. 459 00:24:45,040 --> 00:24:49,240 Speaker 2: I've also heard from men who say, I actually have 460 00:24:49,320 --> 00:24:52,040 Speaker 2: to tone down my pro trumpness for my wife so 461 00:24:52,080 --> 00:24:55,040 Speaker 2: that our marriage days happy and blissful. 462 00:24:55,080 --> 00:24:56,360 Speaker 3: And there's no ads about that. 463 00:24:56,720 --> 00:24:59,480 Speaker 1: Well, I do wonder if it's sort of backfires because 464 00:24:59,480 --> 00:25:01,800 Speaker 1: I've heard from suburban women here. Again, this is all 465 00:25:01,920 --> 00:25:05,680 Speaker 1: just he leaves, but this is antic data, as they 466 00:25:05,720 --> 00:25:08,440 Speaker 1: call it, But I've heard from suburban women around here 467 00:25:08,440 --> 00:25:12,280 Speaker 1: that like that last minute appeal sort of backfired because 468 00:25:12,280 --> 00:25:16,000 Speaker 1: they're reluctant Trump voters, and they're like, I guess it 469 00:25:16,000 --> 00:25:21,480 Speaker 1: would be secret, wouldn't it, Because I think I think 470 00:25:21,520 --> 00:25:24,720 Speaker 1: the chances of the shy woman voter being a Trump 471 00:25:24,800 --> 00:25:27,680 Speaker 1: voter who's hiding it from her book club much more 472 00:25:27,760 --> 00:25:29,080 Speaker 1: likely is more likely? 473 00:25:29,280 --> 00:25:34,120 Speaker 2: Yes, Yeah, it also creates the dynamic of all your 474 00:25:34,160 --> 00:25:36,520 Speaker 2: friends and family are voting for Trump, but you don't 475 00:25:36,520 --> 00:25:36,800 Speaker 2: have to. 476 00:25:36,920 --> 00:25:39,520 Speaker 3: But then that makes it seem like everyone around. 477 00:25:39,200 --> 00:25:42,400 Speaker 2: You is voting for Trump, like I'm not sure that's 478 00:25:42,440 --> 00:25:44,480 Speaker 2: true for most of these people either. 479 00:25:44,359 --> 00:25:48,800 Speaker 1: But right, right, I think I my husband sent me 480 00:25:49,280 --> 00:25:51,520 Speaker 1: my my normy husband is such a great gauge for 481 00:25:51,560 --> 00:25:52,639 Speaker 1: this stuff, as is yours. 482 00:25:52,880 --> 00:25:53,360 Speaker 3: Same same. 483 00:25:53,440 --> 00:25:53,720 Speaker 2: Yeah. 484 00:25:53,760 --> 00:25:57,200 Speaker 1: In fact, the other yesterday watching football, and I didn't 485 00:25:57,200 --> 00:26:00,320 Speaker 1: torture him too much, so don't worry yesterday watching well, 486 00:26:00,359 --> 00:26:05,120 Speaker 1: he goes it's such a great Normy moment because wait, 487 00:26:05,160 --> 00:26:07,320 Speaker 1: how do they make polls? They just call people and 488 00:26:07,359 --> 00:26:10,480 Speaker 1: ask them who they're voting for. And I'm like, I'm 489 00:26:10,520 --> 00:26:13,800 Speaker 1: like pulling out twenty years of polling history to explain 490 00:26:13,880 --> 00:26:18,160 Speaker 1: to him, right, And I look, I kept my soliloquy short. 491 00:26:18,200 --> 00:26:20,920 Speaker 1: We were watching football, but I did go through some 492 00:26:20,960 --> 00:26:23,240 Speaker 1: of the ideas with him. But it's interesting to me 493 00:26:23,359 --> 00:26:26,240 Speaker 1: what hits with him. And one of the things that 494 00:26:26,320 --> 00:26:29,880 Speaker 1: he sent me was the official Harris Wall's Freedom Town 495 00:26:30,000 --> 00:26:34,800 Speaker 1: USA map in Fortnite, Yeah, which is a very popular 496 00:26:35,240 --> 00:26:41,240 Speaker 1: video game. Freedom Town has no weapons allowed, no talking 497 00:26:41,240 --> 00:26:45,879 Speaker 1: to other players, no custom building. In other words, the 498 00:26:45,880 --> 00:26:48,159 Speaker 1: many things that you like to do in Fortnite you 499 00:26:48,359 --> 00:26:53,679 Speaker 1: cannot do in Freedom Town. This is that free no. 500 00:26:53,840 --> 00:26:56,840 Speaker 1: And it's a pitch to young men, which I think, Look, 501 00:26:56,920 --> 00:26:59,399 Speaker 1: it's cute to get in a video game and attempt this. 502 00:26:59,480 --> 00:27:01,720 Speaker 1: I think that is like not a bad idea, just 503 00:27:01,760 --> 00:27:04,280 Speaker 1: like a Madden thing was not a bad idea. Yeah, 504 00:27:04,480 --> 00:27:07,160 Speaker 1: but then you like the problem with reaching young men 505 00:27:07,359 --> 00:27:10,000 Speaker 1: is that you're reaching a demographic that is so happy 506 00:27:10,040 --> 00:27:11,440 Speaker 1: to goof on you. 507 00:27:11,160 --> 00:27:14,199 Speaker 2: Like yes, yeah, you got to get it right or 508 00:27:14,240 --> 00:27:15,159 Speaker 2: they will make fun of you. 509 00:27:15,440 --> 00:27:18,720 Speaker 1: So like this has been going around his chats, like 510 00:27:18,880 --> 00:27:22,800 Speaker 1: crazy players collect five posters with Harris campaign messages on 511 00:27:22,840 --> 00:27:28,040 Speaker 1: them and deliver them to a Harris Walls political rally. Yeah, yeah, 512 00:27:28,080 --> 00:27:33,400 Speaker 1: that's the that's the game sounds. He also pointed out 513 00:27:33,400 --> 00:27:36,720 Speaker 1: to me we watched some Twitch at our house, and 514 00:27:36,840 --> 00:27:38,800 Speaker 1: that's a place where a lot of young men gather. 515 00:27:38,920 --> 00:27:42,600 Speaker 1: It's a largely video game streaming. You watch other people 516 00:27:42,640 --> 00:27:47,120 Speaker 1: play video games. And Trump has a Twitch channel, as 517 00:27:47,160 --> 00:27:50,399 Speaker 1: does Kamala Harris, but Trump started his much earlier. It 518 00:27:50,440 --> 00:27:53,840 Speaker 1: has a huge number of people subscribe hers far fewer, 519 00:27:54,359 --> 00:27:57,760 Speaker 1: and it is an interesting bit of outreach. This is 520 00:27:57,800 --> 00:28:01,960 Speaker 1: not my thing, but they send notification every time Trump 521 00:28:01,960 --> 00:28:05,679 Speaker 1: has a rally and you get like tens of thousands 522 00:28:05,760 --> 00:28:09,919 Speaker 1: of people streaming the rally while he's wherever he is. 523 00:28:10,000 --> 00:28:10,719 Speaker 1: Three times a day. 524 00:28:11,680 --> 00:28:14,320 Speaker 2: Yeah, I am, I'm too old for this, but I 525 00:28:14,359 --> 00:28:15,639 Speaker 2: appreciate girl goes on. 526 00:28:17,480 --> 00:28:20,840 Speaker 1: I mean, well, I do think if they're going if 527 00:28:20,840 --> 00:28:24,440 Speaker 1: the Trump theory of victory is that you bring these 528 00:28:24,480 --> 00:28:27,800 Speaker 1: young men to the polls, reaching them many many times, 529 00:28:28,119 --> 00:28:30,240 Speaker 1: giving them a notification on their phone when you have 530 00:28:30,280 --> 00:28:33,639 Speaker 1: a rally. Smart, that's how they keep thinking about you. 531 00:28:34,160 --> 00:28:37,000 Speaker 2: Yep, yep, and you hit them where they're where they 532 00:28:37,040 --> 00:28:40,400 Speaker 2: are right. It's they're already on this on this twitch 533 00:28:40,480 --> 00:28:43,600 Speaker 2: and it's smart. We're going to take a short break 534 00:28:43,600 --> 00:28:50,000 Speaker 2: and come right back with normally. My normy husband and 535 00:28:50,040 --> 00:28:54,000 Speaker 2: I had some places that we voted differently this time around. 536 00:28:54,000 --> 00:28:57,280 Speaker 2: I know we're told that women don't get to vote 537 00:28:57,320 --> 00:28:59,880 Speaker 2: how they how they want. Their husbands make them. Actually 538 00:29:00,080 --> 00:29:02,360 Speaker 2: our house, I'm like, next time, I'm not even telling 539 00:29:02,360 --> 00:29:04,680 Speaker 2: you when, when and where to vote because. 540 00:29:04,320 --> 00:29:07,320 Speaker 1: This was no good. We can't you the wrong way, man. 541 00:29:07,600 --> 00:29:10,800 Speaker 2: Yeah, And like, I am not and I'm the you know, 542 00:29:10,840 --> 00:29:12,760 Speaker 2: I'm the driver of the operation in our house. 543 00:29:12,760 --> 00:29:14,479 Speaker 4: And next time, I'm not even like telling you. 544 00:29:14,480 --> 00:29:16,120 Speaker 3: You figure out where to vote on your own. 545 00:29:16,560 --> 00:29:18,760 Speaker 1: This is an interesting thing about the mail vote, by 546 00:29:18,760 --> 00:29:21,120 Speaker 1: the way, because men vote at a lower rate than 547 00:29:21,320 --> 00:29:24,000 Speaker 1: women do, and I think part of the reason for that. 548 00:29:24,120 --> 00:29:27,240 Speaker 1: And by the way, just to to shout out to 549 00:29:27,280 --> 00:29:29,040 Speaker 1: my husband, this is not the case in my house. 550 00:29:29,720 --> 00:29:33,480 Speaker 1: In many cases, women solely keep the family calendar. They 551 00:29:33,560 --> 00:29:36,360 Speaker 1: know when the deadlines are, they know when the PaperWorks do, 552 00:29:36,560 --> 00:29:39,680 Speaker 1: they know where the polling place is. That's us And 553 00:29:39,920 --> 00:29:42,320 Speaker 1: in my family, I'm not the person who does all 554 00:29:42,360 --> 00:29:44,400 Speaker 1: of that stuff. He's got quite a bit more skill 555 00:29:44,440 --> 00:29:46,920 Speaker 1: for those kind of things than I do, so it's 556 00:29:46,920 --> 00:29:49,520 Speaker 1: a little more evenly split. But I think that's the answer. 557 00:29:49,600 --> 00:29:52,880 Speaker 1: Like getting a twenty five year old dude to turn 558 00:29:52,920 --> 00:29:57,320 Speaker 1: in paperwork and then go to the polls. There are 559 00:29:57,360 --> 00:30:00,440 Speaker 1: some exceptional ones, but like it's it's like a more 560 00:30:00,480 --> 00:30:02,560 Speaker 1: of an ask than a twenty seven to twenty eight 561 00:30:02,640 --> 00:30:03,240 Speaker 1: year old woman. 562 00:30:03,480 --> 00:30:05,479 Speaker 3: Right, absolutely, yeah, I wonder. 563 00:30:05,760 --> 00:30:07,720 Speaker 2: I mean we'll see, right, we'll see if they manage 564 00:30:07,760 --> 00:30:10,800 Speaker 2: to get those twenty five year olds registered and then 565 00:30:11,200 --> 00:30:13,600 Speaker 2: to show up to where they need to be and when. 566 00:30:13,800 --> 00:30:16,880 Speaker 2: And you know, early voting is only only certain dates 567 00:30:16,920 --> 00:30:19,520 Speaker 2: and it's in one poll location, then your voting. 568 00:30:19,760 --> 00:30:20,840 Speaker 1: Your votes in another one. 569 00:30:21,000 --> 00:30:23,640 Speaker 2: Yes, yeah, we'll see if they if they succeeded this 570 00:30:23,760 --> 00:30:24,000 Speaker 2: or not. 571 00:30:24,200 --> 00:30:27,200 Speaker 4: But yeah, you know, one way or the other, this. 572 00:30:27,400 --> 00:30:30,480 Speaker 2: Election season is coming to an end and can't be 573 00:30:30,520 --> 00:30:31,400 Speaker 2: too sad about that. 574 00:30:31,960 --> 00:30:33,960 Speaker 1: Yeah. By the way, I will be on Fox News 575 00:30:34,040 --> 00:30:39,080 Speaker 1: broadcast for Election night, so if you want to see that, 576 00:30:39,160 --> 00:30:41,560 Speaker 1: not out not the News channel, which will be the 577 00:30:41,880 --> 00:30:44,200 Speaker 1: I think the more comprehensive coverage We'll be cutting in 578 00:30:44,240 --> 00:30:47,520 Speaker 1: occasionally on the Fox broadcast channel. Shannon Breem, Guy Benson, 579 00:30:47,560 --> 00:30:51,040 Speaker 1: myself amazing. Yeah, but we'll be watching for sure. You 580 00:30:51,040 --> 00:30:53,360 Speaker 1: can see me get increasingly more insane as the night 581 00:30:53,440 --> 00:30:58,680 Speaker 1: goes on. They like, well, Shannon, it's two am. We 582 00:30:58,800 --> 00:31:00,640 Speaker 1: don't know what's happening. And I would just like to 583 00:31:00,680 --> 00:31:04,120 Speaker 1: say that if you're the praying type, now would be 584 00:31:04,200 --> 00:31:07,280 Speaker 1: the time to do so for me to go to bed. 585 00:31:07,400 --> 00:31:08,800 Speaker 1: So that's what I'm up to. What are you going 586 00:31:08,840 --> 00:31:10,200 Speaker 1: to be up to, Carol? How do you spend your 587 00:31:10,200 --> 00:31:11,080 Speaker 1: election nights? You know? 588 00:31:11,280 --> 00:31:12,479 Speaker 4: I was going to just stay in. 589 00:31:12,920 --> 00:31:16,560 Speaker 2: I might do some shows on the old internets. 590 00:31:17,160 --> 00:31:18,720 Speaker 3: I've been invited to some stuff, but. 591 00:31:18,800 --> 00:31:21,840 Speaker 2: I kind of want to be I might be home 592 00:31:22,520 --> 00:31:26,360 Speaker 2: just watching the returns and not having to be happy 593 00:31:26,480 --> 00:31:27,080 Speaker 2: or sad. 594 00:31:26,960 --> 00:31:29,400 Speaker 4: Or anything, just just taking. 595 00:31:29,120 --> 00:31:31,040 Speaker 2: It all in and waking up my husband at like 596 00:31:31,040 --> 00:31:32,640 Speaker 2: ten thirty to let him know what's going on. 597 00:31:33,120 --> 00:31:35,000 Speaker 1: I love that. That's most early. 598 00:31:35,320 --> 00:31:36,160 Speaker 3: Yeah, for sure. 599 00:31:36,920 --> 00:31:39,120 Speaker 2: In twenty sixteen, I woke him up and I was 600 00:31:39,160 --> 00:31:42,200 Speaker 2: like Trump won and like confusion on his face, like 601 00:31:42,440 --> 00:31:44,640 Speaker 2: we went to sleep with you know, Hillary Clinton ninety 602 00:31:44,800 --> 00:31:49,560 Speaker 2: plus percentage likelihood of winning, and yeah, I like to 603 00:31:49,720 --> 00:31:50,720 Speaker 2: deliver the news to him. 604 00:31:51,160 --> 00:31:54,880 Speaker 1: I was on the porch with my neighbors having a 605 00:31:54,880 --> 00:31:58,520 Speaker 1: beer in twenty sixteen watching the returns, like on an 606 00:31:58,520 --> 00:32:00,760 Speaker 1: iPad or something, and there was a little bit of 607 00:32:00,840 --> 00:32:05,520 Speaker 1: John King looking for votes for Hillary in Michigan, and I, 608 00:32:05,960 --> 00:32:08,320 Speaker 1: being the one who knows all the counties, was like, 609 00:32:09,520 --> 00:32:11,720 Speaker 1: if they're looking for votes there, this thing is over. 610 00:32:11,800 --> 00:32:15,280 Speaker 1: And my neighbors were like really, and I was like, yeah, 611 00:32:15,440 --> 00:32:19,640 Speaker 1: it's amazing. And then in twenty twenty I had a 612 00:32:19,720 --> 00:32:23,040 Speaker 1: nice cozy at home election night and was like what 613 00:32:23,160 --> 00:32:23,920 Speaker 1: will be will be? 614 00:32:24,400 --> 00:32:24,600 Speaker 3: Right? 615 00:32:25,200 --> 00:32:28,640 Speaker 2: Yeah, that's where I am. And you know, again, no 616 00:32:28,720 --> 00:32:33,360 Speaker 2: matter of what happens, stay close to your family, love 617 00:32:33,400 --> 00:32:34,880 Speaker 2: your neighbors and all that. 618 00:32:35,400 --> 00:32:37,640 Speaker 1: Yes, and voting your local races because those people have 619 00:32:37,680 --> 00:32:39,000 Speaker 1: a lot of control over your life. 620 00:32:39,120 --> 00:32:42,320 Speaker 2: Absolutely, As we learned in the last few years, local 621 00:32:42,400 --> 00:32:45,760 Speaker 2: races really really do matter, really matter well. Thanks for 622 00:32:45,840 --> 00:32:48,920 Speaker 2: joining us on Normally Normally airs Tuesdays and Thursdays, and 623 00:32:48,960 --> 00:32:50,680 Speaker 2: you can subscribe anywhere. 624 00:32:50,280 --> 00:32:51,240 Speaker 3: You get your podcasts. 625 00:32:51,320 --> 00:32:53,720 Speaker 2: If you are an undecided voter, we actually would love 626 00:32:53,760 --> 00:32:55,000 Speaker 2: to hear from you because I want to know how 627 00:32:55,080 --> 00:32:57,600 Speaker 2: that works. Get in touch with us at normally theepod 628 00:32:57,640 --> 00:33:00,720 Speaker 2: at gmail dot com. Thanks for listening when things get 629 00:33:00,800 --> 00:33:03,160 Speaker 2: weird and they will act normally