1 00:00:00,120 --> 00:00:02,880 Speaker 1: The votes are coming in in the US, and I 2 00:00:03,080 --> 00:00:08,000 Speaker 1: see Fox News just flash up on the screen before 3 00:00:08,480 --> 00:00:12,920 Speaker 1: predicting Trump will win Pennsylvania and will secure the electoral 4 00:00:12,920 --> 00:00:17,560 Speaker 1: College votes he needs. Now it seems early on, but 5 00:00:18,239 --> 00:00:21,320 Speaker 1: I mean they're still voting over in the West. But 6 00:00:21,680 --> 00:00:24,720 Speaker 1: at the moment, twenty three electoral College votes to three, 7 00:00:25,160 --> 00:00:27,920 Speaker 1: So very early on in the piece, Let's go to 8 00:00:28,000 --> 00:00:32,559 Speaker 1: the US because on the line Professor Christina Bellentoni, Professor 9 00:00:32,600 --> 00:00:37,880 Speaker 1: of Professional Practice and director of the Media Center, US 10 00:00:37,960 --> 00:00:42,520 Speaker 1: College Annenberg School for Communication and Journalism, and a former 11 00:00:42,560 --> 00:00:45,120 Speaker 1: journalist herself. Christina, good morning. 12 00:00:45,840 --> 00:00:48,600 Speaker 2: Good morning, And you forgot my most important qualification that 13 00:00:48,640 --> 00:00:52,239 Speaker 2: I am married to Patrick who who is from Adelaide 14 00:00:52,240 --> 00:00:52,920 Speaker 2: and grew out there. 15 00:00:53,840 --> 00:00:57,160 Speaker 1: Excellent. All right, So have you been to our city. 16 00:00:57,200 --> 00:01:00,200 Speaker 3: I'm sure you have many times. We got Mary in 17 00:01:00,240 --> 00:01:04,640 Speaker 3: the hills and love it very much. Love South Austria. 18 00:01:05,000 --> 00:01:08,120 Speaker 1: Lovely to hear. All right, now, looking at this, you're 19 00:01:08,160 --> 00:01:11,120 Speaker 1: putting your professional eye ee over of the campaign. This 20 00:01:11,160 --> 00:01:14,440 Speaker 1: would have been the most extraordinary election you've witten this time. 21 00:01:14,520 --> 00:01:19,840 Speaker 2: Sure, without a doubt, history making on every front. The 22 00:01:19,880 --> 00:01:24,320 Speaker 2: biggest thing to see happen was the sitting president decide 23 00:01:24,360 --> 00:01:28,760 Speaker 2: not to seek reelection. That's just never happened in that way, 24 00:01:28,840 --> 00:01:32,280 Speaker 2: that after having already mounted a campaign, and then you 25 00:01:32,360 --> 00:01:35,760 Speaker 2: had two assassination attempts on the former president, who happens 26 00:01:35,760 --> 00:01:38,360 Speaker 2: to be the first person to ever have been president 27 00:01:38,400 --> 00:01:42,119 Speaker 2: who has now been convicted of felonies where things hang 28 00:01:42,160 --> 00:01:45,480 Speaker 2: in the balance with his own convictions and what that 29 00:01:45,640 --> 00:01:48,280 Speaker 2: sentencing could look like whether he's president or not. And 30 00:01:48,280 --> 00:01:50,560 Speaker 2: then you have somebody who could make history and becoming 31 00:01:50,560 --> 00:01:53,640 Speaker 2: a first female president. So at every level, this has 32 00:01:53,680 --> 00:01:57,160 Speaker 2: been exactly that unprecedented. And I get to teach political 33 00:01:57,200 --> 00:02:00,720 Speaker 2: reporting now, and it's been really interesting to look at 34 00:02:00,760 --> 00:02:03,520 Speaker 2: all of this through the lens of history and then 35 00:02:03,560 --> 00:02:07,040 Speaker 2: also through actual events. I've taken my students to the 36 00:02:07,080 --> 00:02:12,040 Speaker 2: battleground states of Michigan, Arizona, and Nevada and they have 37 00:02:12,120 --> 00:02:15,000 Speaker 2: been doing real reporting, talking to hundreds of voters and 38 00:02:15,080 --> 00:02:17,800 Speaker 2: talking about those contests. One thing I will just point out, 39 00:02:17,840 --> 00:02:21,119 Speaker 2: you mentioned Pennsylvania. I think that I'm not quite sure 40 00:02:21,160 --> 00:02:25,079 Speaker 2: where that's coming from, because Pennsylvania is will open and 41 00:02:25,639 --> 00:02:29,880 Speaker 2: the networks are being extremely careful and calling anything. There 42 00:02:29,919 --> 00:02:34,280 Speaker 2: have been exit polls that show where voters are what 43 00:02:34,320 --> 00:02:37,240 Speaker 2: they're saying as they're leaving the polls throughout the these 44 00:02:37,280 --> 00:02:37,919 Speaker 2: swing states. 45 00:02:37,960 --> 00:02:40,800 Speaker 1: But has been made all right, Maybe that's what they've 46 00:02:41,400 --> 00:02:43,560 Speaker 1: based it on. I'm not sure it's disappeared off the 47 00:02:43,600 --> 00:02:47,320 Speaker 1: TV anyway. Pretty it appeared very quickly and briefly, so 48 00:02:47,440 --> 00:02:49,639 Speaker 1: whether they realized it was wrong eye, I don't know, 49 00:02:49,760 --> 00:02:53,400 Speaker 1: but it was certainly up a few seconds ago. How 50 00:02:53,440 --> 00:02:55,120 Speaker 1: do you think it's going to play out? I mean, 51 00:02:55,160 --> 00:02:57,919 Speaker 1: Trump leading at the moment is what I can say. 52 00:02:57,960 --> 00:03:00,839 Speaker 1: Twenty three college votes to three. And for the sake 53 00:03:00,880 --> 00:03:04,320 Speaker 1: of people who just tuned in every state they've got, 54 00:03:04,480 --> 00:03:06,720 Speaker 1: it's winner takes all. For the state, the state carries 55 00:03:06,760 --> 00:03:10,640 Speaker 1: an electoral college number who get together in about a 56 00:03:10,639 --> 00:03:14,240 Speaker 1: month or so and formally elect the president based on 57 00:03:14,360 --> 00:03:17,160 Speaker 1: the state results. So the bigger the state, the more 58 00:03:17,200 --> 00:03:20,600 Speaker 1: congress people it has, the more electoral college votes. It 59 00:03:20,639 --> 00:03:23,400 Speaker 1: carries five hundred and thirty eight in total to seventy 60 00:03:23,440 --> 00:03:24,239 Speaker 1: the magic number. 61 00:03:25,680 --> 00:03:27,000 Speaker 3: That is right, the magic number. 62 00:03:27,040 --> 00:03:30,320 Speaker 2: And you know, there's slightly more nuanced way to look 63 00:03:30,360 --> 00:03:31,720 Speaker 2: at that, but a good way to look at it 64 00:03:31,800 --> 00:03:35,040 Speaker 2: is through population. So California, where I am based, has 65 00:03:35,160 --> 00:03:40,280 Speaker 2: fifty four electoral College votes because of it's that's how 66 00:03:40,280 --> 00:03:43,520 Speaker 2: many the high population. We have more than thirty million 67 00:03:43,600 --> 00:03:47,560 Speaker 2: voters and sixty million humans, so a lot of people. 68 00:03:47,600 --> 00:03:49,880 Speaker 2: And then you see larger states like Texas and so on, 69 00:03:50,000 --> 00:03:53,640 Speaker 2: where smaller states such as Alaska only have three. You 70 00:03:53,680 --> 00:03:56,360 Speaker 2: have to think about the results that you're having now 71 00:03:56,520 --> 00:03:59,200 Speaker 2: are kind of twofold. It's the states that have the 72 00:03:59,200 --> 00:04:03,560 Speaker 2: polls that close the earliest, but also who counts votes 73 00:04:03,760 --> 00:04:06,800 Speaker 2: the quick quickest, and in some cases those are states 74 00:04:06,840 --> 00:04:10,280 Speaker 2: with pretty restrictive voting. Here in California, we actually have 75 00:04:10,400 --> 00:04:14,240 Speaker 2: voting month. People are permanent mail in ballots, so everybody 76 00:04:14,240 --> 00:04:15,920 Speaker 2: gets mailed in a ballot and as long as they 77 00:04:16,320 --> 00:04:20,760 Speaker 2: it is postmarked by today and they count it by Friday, 78 00:04:20,760 --> 00:04:23,240 Speaker 2: they receive it by Friday, it will get counted. So 79 00:04:23,279 --> 00:04:26,120 Speaker 2: it will take us weeks before we know the final results. 80 00:04:26,120 --> 00:04:28,320 Speaker 2: In California and in many of these other states, you're 81 00:04:28,320 --> 00:04:33,040 Speaker 2: seeing very long lines, huge numbers of same day registrants 82 00:04:33,120 --> 00:04:35,760 Speaker 2: where that's allowed. So that's where you're going to have 83 00:04:35,839 --> 00:04:39,360 Speaker 2: places like West Virginia where they actually just called one 84 00:04:39,400 --> 00:04:42,919 Speaker 2: of the Democratic senators has lost that they've lost a 85 00:04:42,960 --> 00:04:46,039 Speaker 2: Democratic seat. The person had decided to retire and a 86 00:04:46,040 --> 00:04:48,159 Speaker 2: Republican has picked up that seat. So that's the first 87 00:04:48,200 --> 00:04:50,880 Speaker 2: pick up for Republicans who are looking to reclaim the Senate. 88 00:04:50,920 --> 00:04:51,920 Speaker 3: It's a really big deal. 89 00:04:52,400 --> 00:04:54,200 Speaker 2: But you're going to see kind of as the map 90 00:04:54,320 --> 00:04:57,120 Speaker 2: moves toward the left if you look it moves toward 91 00:04:57,160 --> 00:04:59,560 Speaker 2: the west. If you're looking at that map, you'll start 92 00:04:59,560 --> 00:05:01,920 Speaker 2: to see a lot more mixed voting and more states 93 00:05:01,920 --> 00:05:04,719 Speaker 2: start to close. North Carolina is one of those battleground 94 00:05:04,760 --> 00:05:07,320 Speaker 2: states that both the Trump and Harris campaigns have spent 95 00:05:07,360 --> 00:05:09,320 Speaker 2: a lot of time in and they have an early 96 00:05:09,400 --> 00:05:12,840 Speaker 2: closing time, so I'm really looking at results from there 97 00:05:12,880 --> 00:05:16,359 Speaker 2: and also from Virginia, where there's some contested US House 98 00:05:16,440 --> 00:05:19,240 Speaker 2: races for Congress, where we'll be able to get a 99 00:05:19,279 --> 00:05:22,279 Speaker 2: sense of how well Republicans and Democrats are doing based 100 00:05:22,320 --> 00:05:23,920 Speaker 2: on those states. But it's going to be a really 101 00:05:23,960 --> 00:05:26,920 Speaker 2: long night. We have three hours and twenty minutes before 102 00:05:26,920 --> 00:05:30,039 Speaker 2: polls close here in California, And in addition to that, 103 00:05:30,800 --> 00:05:32,320 Speaker 2: we know that there's going to be a lot of 104 00:05:32,440 --> 00:05:35,279 Speaker 2: legal challenges to these states. So I would be highly 105 00:05:35,320 --> 00:05:38,000 Speaker 2: surprised if we know who won the president seed this evening. 106 00:05:38,080 --> 00:05:41,440 Speaker 1: All right, legal challenges aside, will we have a sense 107 00:05:41,520 --> 00:05:43,880 Speaker 1: of that will will they be a Kali related do 108 00:05:43,920 --> 00:05:48,040 Speaker 1: you think or are the polls correct in predicting it 109 00:05:48,080 --> 00:05:49,400 Speaker 1: is as tight as it seems to be. 110 00:05:50,760 --> 00:05:53,800 Speaker 2: So I hesitate to make predictions because even as many 111 00:05:53,839 --> 00:05:56,920 Speaker 2: South Australians know, I've made many predictions when visiting there 112 00:05:57,480 --> 00:05:59,880 Speaker 2: in twenty sixteen, and I was incorrect, like most of them. 113 00:06:01,360 --> 00:06:05,680 Speaker 2: But I will say that turnout today in person on 114 00:06:05,760 --> 00:06:11,520 Speaker 2: election day has shattered all previous records. Already some of 115 00:06:11,560 --> 00:06:15,160 Speaker 2: these swing counties are at one hundred and fifty percent 116 00:06:15,279 --> 00:06:19,040 Speaker 2: of their record highs from twenty twenty. You're seeing record 117 00:06:19,120 --> 00:06:21,920 Speaker 2: numbers of women voting and then record numbers of young 118 00:06:21,960 --> 00:06:25,279 Speaker 2: people voting. And those are coalitions that polls suggest are 119 00:06:25,320 --> 00:06:28,720 Speaker 2: with Vice President Harris. We don't know that for sure, 120 00:06:28,880 --> 00:06:32,560 Speaker 2: but there's certainly an indication that she has momentum at 121 00:06:32,600 --> 00:06:36,120 Speaker 2: the end. Here Republicans had an early vote advantage based 122 00:06:36,160 --> 00:06:40,400 Speaker 2: on nail balloting, and we don't know where it's going 123 00:06:40,480 --> 00:06:42,400 Speaker 2: to go. I think we will see a lot of 124 00:06:42,520 --> 00:06:46,000 Speaker 2: numbers as the ballots are counted tonight, but we will 125 00:06:46,040 --> 00:06:47,760 Speaker 2: not have a clear sense this is going to be 126 00:06:47,920 --> 00:06:51,400 Speaker 2: a closely divided nation and in the end I don't 127 00:06:51,480 --> 00:06:53,880 Speaker 2: think you will see a situation where someone wins the 128 00:06:53,920 --> 00:06:56,479 Speaker 2: popular vote and a different person wins the electoral college 129 00:06:56,520 --> 00:06:59,360 Speaker 2: vote tonight. Based on this turnout, the moment is going 130 00:06:59,400 --> 00:07:01,039 Speaker 2: to be with whoever got their people out. 131 00:07:01,240 --> 00:07:03,360 Speaker 1: Yeah. Yeah, And that's that's part of the key thing here. 132 00:07:03,400 --> 00:07:08,719 Speaker 1: They do take people out to vote, don't they say? Yeah? 133 00:07:08,760 --> 00:07:11,000 Speaker 1: Do we know? With Indiana, for instance, if I just 134 00:07:11,040 --> 00:07:15,600 Speaker 1: picked that one which has declared for Trumps, that seems 135 00:07:15,600 --> 00:07:18,239 Speaker 1: to be across the board that Trump in his twenty 136 00:07:18,240 --> 00:07:21,320 Speaker 1: three electoral college votes so far as one Indiana, do 137 00:07:21,360 --> 00:07:24,400 Speaker 1: we know if that margin he's looking at figures showing 138 00:07:24,600 --> 00:07:27,640 Speaker 1: he's got sixty two percent of the vote to Harris's 139 00:07:27,680 --> 00:07:30,360 Speaker 1: thirty five point eight, sixty two point six to thirty 140 00:07:30,360 --> 00:07:34,760 Speaker 1: five point eight, is that a bigger result than it 141 00:07:34,880 --> 00:07:35,800 Speaker 1: was four years ago? 142 00:07:37,520 --> 00:07:38,760 Speaker 2: I'm not sure off the top of my head, in 143 00:07:38,800 --> 00:07:42,600 Speaker 2: part because Indiana is not a competitive state, so you know, 144 00:07:42,680 --> 00:07:46,200 Speaker 2: he was always slated to win those electoral college votes. 145 00:07:46,240 --> 00:07:48,320 Speaker 2: The states that I am looking at are you know, 146 00:07:48,440 --> 00:07:53,960 Speaker 2: kind of the seven key battlegrounds, but North Carolina, Pennsylvania 147 00:07:54,000 --> 00:08:01,880 Speaker 2: being the biggest, Michigan, Wisconsin, You've got Arizona, Nevada, Georgia 148 00:08:01,920 --> 00:08:04,880 Speaker 2: are kind of the key ones you can throw in Minnesota. 149 00:08:05,040 --> 00:08:07,000 Speaker 2: You could throw in a little bit of Virginia. Some 150 00:08:07,040 --> 00:08:10,040 Speaker 2: people think Florida might have, but really it's those seven 151 00:08:10,600 --> 00:08:13,080 Speaker 2: and that's really the only boats to matter. We know 152 00:08:13,160 --> 00:08:16,480 Speaker 2: there's a foregone conclusion that, for example, Kamala Harris will 153 00:08:16,480 --> 00:08:18,560 Speaker 2: win the states of New York and California, which are 154 00:08:18,680 --> 00:08:23,400 Speaker 2: huge prizes. Texas Democrats always say they feel confident about 155 00:08:23,440 --> 00:08:26,280 Speaker 2: Texas and Republicans have won it for basically all of 156 00:08:26,320 --> 00:08:29,360 Speaker 2: my lifetime and probably all beyond that. I would be 157 00:08:29,440 --> 00:08:32,559 Speaker 2: highly surprised if anything changed there. So what we're not 158 00:08:32,840 --> 00:08:37,320 Speaker 2: really expecting any shocking surprises here. If you start to 159 00:08:37,360 --> 00:08:40,560 Speaker 2: see numbers closer to fifty to fifty in some of 160 00:08:40,600 --> 00:08:45,160 Speaker 2: these Midwestern states like Iowa or Kansas, those two states 161 00:08:45,160 --> 00:08:48,120 Speaker 2: have had polls recently showing a huge surge momentum from 162 00:08:48,160 --> 00:08:51,280 Speaker 2: the Democrats over the issue of abortion right. This is 163 00:08:51,320 --> 00:08:54,640 Speaker 2: a huge issue. This is the first presidential race since 164 00:08:54,800 --> 00:08:57,240 Speaker 2: Roe v. Wade was overturned by the Supreme Court in 165 00:08:57,280 --> 00:09:01,240 Speaker 2: twenty twenty two. And we see that women are turning 166 00:09:01,240 --> 00:09:05,400 Speaker 2: out in numbers, huge numbers, and that might end up 167 00:09:05,440 --> 00:09:07,800 Speaker 2: being the deciding factor here, and it might make these 168 00:09:07,840 --> 00:09:12,480 Speaker 2: states that are foregone Republican conclusions actually be much more 169 00:09:12,480 --> 00:09:13,880 Speaker 2: competitive in the in the. 170 00:09:13,880 --> 00:09:17,920 Speaker 1: End, interesting the difference between North and South Carolina. North 171 00:09:18,000 --> 00:09:21,840 Speaker 1: is is Democrat. South seems to be Republican and just 172 00:09:22,000 --> 00:09:22,920 Speaker 1: you know, next to each other. 173 00:09:23,800 --> 00:09:26,880 Speaker 2: Sure, and North Carolina is definitely a swing state. I 174 00:09:26,920 --> 00:09:29,240 Speaker 2: would not be surprised if the Republicans are able to 175 00:09:29,280 --> 00:09:32,000 Speaker 2: win their president. Former President Trump has spent a ton 176 00:09:32,040 --> 00:09:36,240 Speaker 2: of his time actually in North Carolina in the last 177 00:09:36,520 --> 00:09:39,760 Speaker 2: couple of weeks here, but they're they're quite different. South 178 00:09:39,800 --> 00:09:44,199 Speaker 2: Carolina has you know, one Democrat representing the entire state 179 00:09:44,280 --> 00:09:48,160 Speaker 2: in Congress. North Carolina is not only more racially diverse, 180 00:09:48,280 --> 00:09:50,920 Speaker 2: but it is also a state where people move from 181 00:09:51,240 --> 00:09:53,880 Speaker 2: the New England, which tends to be more liberal. So 182 00:09:53,960 --> 00:09:56,439 Speaker 2: you have an influx of people going to the universities 183 00:09:56,480 --> 00:09:59,240 Speaker 2: there who are moving for jobs there. There's a lot 184 00:09:59,240 --> 00:10:01,640 Speaker 2: of tech jobs, and and that inherently makes the state 185 00:10:01,760 --> 00:10:05,080 Speaker 2: more left leaning or democratic. So that has been a 186 00:10:05,080 --> 00:10:08,520 Speaker 2: more competitive state in recent years. Barack Obama was the 187 00:10:08,520 --> 00:10:11,560 Speaker 2: first Democrat to win North Carolina in two thousand and 188 00:10:11,600 --> 00:10:16,600 Speaker 2: eight since nineteen sixty four, and we are expecting some 189 00:10:16,679 --> 00:10:18,319 Speaker 2: things like that if there ends up being a big 190 00:10:18,360 --> 00:10:19,640 Speaker 2: turnout for Harris too. 191 00:10:19,720 --> 00:10:21,800 Speaker 1: Well, at the moment, she's on track. I mean it's 192 00:10:21,880 --> 00:10:25,200 Speaker 1: just two percent countered or reported. She's got seventy six 193 00:10:25,280 --> 00:10:28,960 Speaker 1: thousand votes to Trump's thirty four thousand. Now that could 194 00:10:28,960 --> 00:10:32,680 Speaker 1: be the counties perhaps, or whatever it is, but Jake 195 00:10:32,760 --> 00:10:33,679 Speaker 1: well ahead at the moment. 196 00:10:34,520 --> 00:10:36,640 Speaker 2: I would just caution on any of the numbers because 197 00:10:37,000 --> 00:10:39,480 Speaker 2: every state is different in how they count. So, for example, 198 00:10:39,960 --> 00:10:43,480 Speaker 2: in Arizona, they have early voting for about two weeks 199 00:10:43,520 --> 00:10:47,120 Speaker 2: before the election. They start counting those votes the second 200 00:10:47,160 --> 00:10:50,680 Speaker 2: they're received. So when Arizona's poll closes poles closed, you 201 00:10:50,720 --> 00:10:53,600 Speaker 2: will see numbers that are all the people that voted 202 00:10:53,760 --> 00:10:57,880 Speaker 2: from October twentieth or whatever on, and things changed over 203 00:10:57,920 --> 00:11:00,080 Speaker 2: the course of time, and so then you don't know 204 00:11:00,640 --> 00:11:02,959 Speaker 2: how the votes of people who decided on election day 205 00:11:03,040 --> 00:11:06,960 Speaker 2: or late breaking deciders or undecided people voted. So anything 206 00:11:07,000 --> 00:11:09,240 Speaker 2: that you see this early stage, I would just say, like, 207 00:11:09,640 --> 00:11:11,960 Speaker 2: pretend you don't see it. I know that's hard because 208 00:11:12,000 --> 00:11:15,320 Speaker 2: it's exciting, but until you have more than half of 209 00:11:15,360 --> 00:11:17,840 Speaker 2: the votes counted, you really can't get a sense of 210 00:11:17,840 --> 00:11:21,840 Speaker 2: the state unless it's a really red state, like Indiana, 211 00:11:21,960 --> 00:11:24,240 Speaker 2: like Oklahoma. Those are states they're going to be able 212 00:11:24,240 --> 00:11:27,679 Speaker 2: to call right away, Idaho, South Dakota. But in terms 213 00:11:27,679 --> 00:11:30,559 Speaker 2: of these raw numbers that are coming in, they could 214 00:11:30,559 --> 00:11:33,360 Speaker 2: be mail in ballots, they could be the ballots from 215 00:11:33,400 --> 00:11:35,959 Speaker 2: seven am, they could be boots in. Every state has 216 00:11:36,000 --> 00:11:38,920 Speaker 2: different rules, and sometimes it's really hard to keep track 217 00:11:38,960 --> 00:11:41,839 Speaker 2: of that, especially if you're covering this from a national perspective. 218 00:11:41,840 --> 00:11:44,640 Speaker 2: And as my students now I'm overseeing the media center, 219 00:11:44,679 --> 00:11:47,360 Speaker 2: as you said, they're covering this tonight, I have to 220 00:11:47,600 --> 00:11:49,880 Speaker 2: caution them, you know, to not just read into a 221 00:11:49,880 --> 00:11:50,800 Speaker 2: lot of these numbers. 222 00:11:50,880 --> 00:11:54,280 Speaker 1: All right, very good advice. Now tell us what happens 223 00:11:54,280 --> 00:11:56,679 Speaker 1: out of five hundred and thirty eight college votes if 224 00:11:56,679 --> 00:11:58,679 Speaker 1: it comes down to two sixty nine apiece. 225 00:12:00,280 --> 00:12:02,600 Speaker 2: Yeah, okay, So I had to look this up recently 226 00:12:02,600 --> 00:12:06,200 Speaker 2: because it is a possible scenario. I don't want to 227 00:12:06,200 --> 00:12:07,760 Speaker 2: get into why it's a possible for scenario. But you 228 00:12:07,760 --> 00:12:08,960 Speaker 2: can play around with these maps. 229 00:12:08,960 --> 00:12:10,320 Speaker 3: All the news outlets have them. 230 00:12:10,400 --> 00:12:12,600 Speaker 2: I like two seventy to win, which is just very 231 00:12:12,640 --> 00:12:14,600 Speaker 2: clear and easy to use if you want to play 232 00:12:14,600 --> 00:12:17,440 Speaker 2: around with it. But there is several scenarios where they 233 00:12:17,440 --> 00:12:20,840 Speaker 2: come to sixty nine apiece and then effectively it goes 234 00:12:20,880 --> 00:12:24,760 Speaker 2: to the US House of Representatives, and that is not 235 00:12:25,080 --> 00:12:27,800 Speaker 2: clear how that would go. Republicans control it by a 236 00:12:27,840 --> 00:12:31,000 Speaker 2: handful of votes right now, but there are all kinds 237 00:12:31,000 --> 00:12:33,720 Speaker 2: of factors that could make it just either really ugly 238 00:12:33,960 --> 00:12:38,320 Speaker 2: or really uncertain. I it would be a journalist's dream 239 00:12:38,559 --> 00:12:40,800 Speaker 2: to see that happen, but I haven't spent a ton 240 00:12:40,800 --> 00:12:44,400 Speaker 2: of time preparing for it just because it is it 241 00:12:44,440 --> 00:12:46,600 Speaker 2: is unlikely since it has never happened before. 242 00:12:47,840 --> 00:12:52,439 Speaker 1: Has Congress has ruled previously, has not in early elections 243 00:12:52,480 --> 00:12:55,600 Speaker 1: long gone in the eighteen hundreds, I think determined who 244 00:12:55,679 --> 00:12:56,160 Speaker 1: should win. 245 00:12:57,360 --> 00:13:02,600 Speaker 2: Yeah, there is there's some history again centuries, not recent 246 00:13:02,720 --> 00:13:05,720 Speaker 2: history at all, But the country was so different then. 247 00:13:06,240 --> 00:13:09,600 Speaker 2: The population was much much less, and also things were 248 00:13:09,640 --> 00:13:12,480 Speaker 2: not not so closely divided when it comes to party 249 00:13:12,640 --> 00:13:16,160 Speaker 2: and the lines of congressional boundaries. So you can't really 250 00:13:16,200 --> 00:13:18,960 Speaker 2: make a comparison to that time just because the overall 251 00:13:19,080 --> 00:13:22,400 Speaker 2: system of government is so different, even though the rules 252 00:13:22,440 --> 00:13:23,000 Speaker 2: are the same. 253 00:13:24,360 --> 00:13:26,199 Speaker 1: Yeah, yeah, I understand that all right. 254 00:13:26,360 --> 00:13:26,520 Speaker 3: Now. 255 00:13:26,800 --> 00:13:30,680 Speaker 1: You talked earlier about the likelihood of court challenges, so 256 00:13:30,720 --> 00:13:34,000 Speaker 1: I talk US through that. Now, if Donald Trump wins, 257 00:13:34,040 --> 00:13:36,560 Speaker 1: obviously Republicans sound going to challenge anything, are they, But 258 00:13:36,640 --> 00:13:37,760 Speaker 1: Democrats might. 259 00:13:38,960 --> 00:13:40,760 Speaker 3: Well, so it's not just about Donald Trump. So let's 260 00:13:40,760 --> 00:13:41,640 Speaker 3: say he wins. 261 00:13:41,920 --> 00:13:44,760 Speaker 2: But we're not sure who controls the US Senate or 262 00:13:44,800 --> 00:13:47,720 Speaker 2: the US House right now. Republicans control the House by 263 00:13:47,960 --> 00:13:50,400 Speaker 2: very narrow margin. A lot of these races are going 264 00:13:50,440 --> 00:13:52,800 Speaker 2: to be decided by a few thousand votes, and the 265 00:13:52,800 --> 00:13:55,960 Speaker 2: Senate is controlled by Democrats, and they're pretty likely to 266 00:13:56,000 --> 00:14:01,160 Speaker 2: lose tonight. Regardless of the presidential outcome, where you will 267 00:14:01,200 --> 00:14:04,840 Speaker 2: see election challenges, even if former President Trump is elected 268 00:14:05,240 --> 00:14:08,320 Speaker 2: tonight or in the next couple of days, you will 269 00:14:08,360 --> 00:14:11,280 Speaker 2: probably see challenges in these House races, maybe even in 270 00:14:11,320 --> 00:14:15,080 Speaker 2: state legislative races that are decided by an even narrower margin, 271 00:14:15,160 --> 00:14:19,600 Speaker 2: because that controls power when it comes to how electors 272 00:14:19,640 --> 00:14:24,360 Speaker 2: are named, what abortion restrictions are on the ballot, gun law, 273 00:14:24,440 --> 00:14:27,400 Speaker 2: like many many many things are decided by the states, 274 00:14:27,440 --> 00:14:30,440 Speaker 2: and so I will expect a lot of legal challenges. 275 00:14:30,480 --> 00:14:33,240 Speaker 2: And that's where anybody with legal experience, if they have 276 00:14:33,280 --> 00:14:37,720 Speaker 2: a partisan bent, they are really working with the campaigns 277 00:14:37,720 --> 00:14:40,080 Speaker 2: to make sure that they are available and ready to 278 00:14:40,160 --> 00:14:43,400 Speaker 2: go if there are any irregularities. One irregularity we're hearing 279 00:14:43,440 --> 00:14:48,160 Speaker 2: this is very interesting happening on college campuses everywhere. Many 280 00:14:48,240 --> 00:14:52,920 Speaker 2: many states have a signature verification process where you sign 281 00:14:52,920 --> 00:14:55,360 Speaker 2: you mail your ballot and you sign it, and then 282 00:14:55,400 --> 00:14:58,200 Speaker 2: they look at your signature on file. In most cases 283 00:14:58,200 --> 00:15:00,240 Speaker 2: it's from your driver's license, which you get at the 284 00:15:00,280 --> 00:15:02,840 Speaker 2: age of sixteen, but you can't sign up to vote 285 00:15:02,880 --> 00:15:05,440 Speaker 2: till you're eighteen. And in most cases their first presidential 286 00:15:05,520 --> 00:15:07,680 Speaker 2: vote is this one, and they're twenty one or twenty two, 287 00:15:08,320 --> 00:15:12,400 Speaker 2: their signature at twenty two looks quite different than how 288 00:15:12,400 --> 00:15:15,400 Speaker 2: they signed their driver's license at sixteen years old. I mean, 289 00:15:15,800 --> 00:15:18,880 Speaker 2: heart's over the eyes, maybe it's not incursive. All those things. 290 00:15:18,880 --> 00:15:21,640 Speaker 2: People change. And so in my own class, I have 291 00:15:21,680 --> 00:15:25,520 Speaker 2: twenty students. I had two students who have stories about 292 00:15:25,600 --> 00:15:29,880 Speaker 2: signatures getting rejected from their peers in swing states. So 293 00:15:30,160 --> 00:15:31,640 Speaker 2: to me, that's going to be a story we see 294 00:15:31,680 --> 00:15:33,960 Speaker 2: all across the country, and there's a potential for them 295 00:15:34,000 --> 00:15:36,360 Speaker 2: to challenge that legally. You know, you could write an 296 00:15:36,360 --> 00:15:38,680 Speaker 2: affidavit and just say, hey, my signature change from the 297 00:15:38,680 --> 00:15:40,760 Speaker 2: time I was a teenager who you know is still 298 00:15:40,760 --> 00:15:44,360 Speaker 2: in high school, and you're going to see lawyers challenge that, 299 00:15:44,440 --> 00:15:46,920 Speaker 2: especially if the turns out that young people did make 300 00:15:46,960 --> 00:15:49,160 Speaker 2: the difference in one of these elections. I think you're 301 00:15:49,160 --> 00:15:51,160 Speaker 2: going to hear a lot about that, and to me, 302 00:15:51,200 --> 00:15:54,080 Speaker 2: it's just a fascinating story. You also see signature degradation 303 00:15:54,160 --> 00:15:57,120 Speaker 2: when it comes to older people. Maybe they can't write 304 00:15:57,120 --> 00:15:59,600 Speaker 2: as well because they have our thrited, you know, many 305 00:15:59,640 --> 00:16:01,920 Speaker 2: many things. Or when people first registered to vote, they 306 00:16:01,920 --> 00:16:03,800 Speaker 2: didn't speak the language as well, so they weren't as 307 00:16:03,800 --> 00:16:05,560 Speaker 2: confident as a writer. And now they do speak the 308 00:16:05,600 --> 00:16:08,200 Speaker 2: language well, so their signature change. So these are all 309 00:16:08,240 --> 00:16:13,280 Speaker 2: examined by by lawyers over the course of the certification process, 310 00:16:13,280 --> 00:16:16,080 Speaker 2: which will last several weeks, if not more than a month. 311 00:16:17,000 --> 00:16:20,160 Speaker 1: Christina, you say, don't get excited yet on these early numbers. 312 00:16:20,200 --> 00:16:22,840 Speaker 1: When should we start getting excited? What four or five o'clock? 313 00:16:22,880 --> 00:16:26,200 Speaker 3: Maybe we's what is it about eleven? 314 00:16:26,240 --> 00:16:30,120 Speaker 1: As so about six hours would you say. 315 00:16:30,920 --> 00:16:34,640 Speaker 2: You know, we'll have more information. It's really important to 316 00:16:34,640 --> 00:16:37,600 Speaker 2: remember it's not votes cast that are getting reported, it's 317 00:16:37,680 --> 00:16:41,000 Speaker 2: votes counted. And in so many cases like you will 318 00:16:41,040 --> 00:16:43,720 Speaker 2: still have people in line to vote for the next 319 00:16:43,760 --> 00:16:47,640 Speaker 2: six hours of across this country, and these lines are 320 00:16:47,680 --> 00:16:51,480 Speaker 2: wrapping around buildings, They're at capacity, they're running out of ballots. 321 00:16:51,480 --> 00:16:56,040 Speaker 2: I mean, it is absolutely shattering every record in every 322 00:16:56,120 --> 00:17:00,120 Speaker 2: single state, even red states. So to me, that tells 323 00:17:00,160 --> 00:17:04,359 Speaker 2: me like you will have results to report on. But 324 00:17:04,600 --> 00:17:07,439 Speaker 2: I just think we really I'm just cautioning people. I mean, 325 00:17:07,440 --> 00:17:10,520 Speaker 2: even here at my school, I'm hosting an event tonight, 326 00:17:11,040 --> 00:17:13,239 Speaker 2: and that event, we are telling people it will end 327 00:17:13,240 --> 00:17:15,520 Speaker 2: at eleven, no matter what has happened, because we're not 328 00:17:15,560 --> 00:17:18,320 Speaker 2: going to know the results until Wednesday Thursday. If you remember, 329 00:17:18,320 --> 00:17:20,879 Speaker 2: in twenty twenty, they did not call the election for 330 00:17:21,000 --> 00:17:24,639 Speaker 2: Joe Biden until Saturday, right was on a Tuesday. 331 00:17:24,640 --> 00:17:26,640 Speaker 3: It got called on a Saturday around lunchtime. 332 00:17:26,760 --> 00:17:31,600 Speaker 2: So again, very very very very narrow margins are determining 333 00:17:31,640 --> 00:17:32,640 Speaker 2: each of these states. 334 00:17:33,280 --> 00:17:34,960 Speaker 3: And the lawyers are ready. 335 00:17:35,240 --> 00:17:37,359 Speaker 1: Okay, Can I ask you about the polls if you've 336 00:17:37,400 --> 00:17:41,000 Speaker 1: got a minute old two still that we've seen, and 337 00:17:41,880 --> 00:17:46,760 Speaker 1: polls in the past twenty sixteen, twenty twenty underestimated Trump, 338 00:17:46,880 --> 00:17:51,960 Speaker 1: particularly especially twenty sixteen, has corrections would have been put 339 00:17:52,000 --> 00:17:55,800 Speaker 1: in place? Could they be under estimating Harris in this campaign? 340 00:17:56,800 --> 00:18:00,280 Speaker 2: There's a bunch of different ways that polls work that 341 00:18:00,920 --> 00:18:04,040 Speaker 2: for me suggests they're kind of a thing of the past. 342 00:18:04,680 --> 00:18:08,400 Speaker 2: So one of those ways is that they apply a screen. 343 00:18:08,560 --> 00:18:11,480 Speaker 2: They'll say, you know, well, the first question if you're 344 00:18:11,480 --> 00:18:12,800 Speaker 2: looking at a poll to know if it's a good 345 00:18:12,800 --> 00:18:15,239 Speaker 2: poll or not, is it a likely voter or just 346 00:18:15,280 --> 00:18:17,600 Speaker 2: a voter? Right, if someone is registered to vote, that 347 00:18:17,600 --> 00:18:19,440 Speaker 2: doesn't mean they are going to vote. So likely voter 348 00:18:19,520 --> 00:18:21,920 Speaker 2: tells you something. It means they voted more than once. 349 00:18:21,960 --> 00:18:23,760 Speaker 2: I mean, if they're saying they're one hundred percent likely 350 00:18:23,760 --> 00:18:26,439 Speaker 2: to vote, or whatever that may be. But then in 351 00:18:26,440 --> 00:18:30,720 Speaker 2: addition to that, they apply racial demographic screens. So, for example, 352 00:18:30,720 --> 00:18:33,440 Speaker 2: if you call a thousand people, but you accidentally only 353 00:18:33,440 --> 00:18:37,040 Speaker 2: have three percent of that those thousand people are black, 354 00:18:37,720 --> 00:18:40,040 Speaker 2: and the US population is not three percent, or the 355 00:18:40,080 --> 00:18:42,960 Speaker 2: population of Michigan, for example, is not three percent black. 356 00:18:43,320 --> 00:18:46,280 Speaker 2: So then you actually adjust your numbers to say, well 357 00:18:46,320 --> 00:18:49,040 Speaker 2: that those three percent of black people who said this, 358 00:18:49,480 --> 00:18:52,640 Speaker 2: we're going to amplify their voice in this particular poll 359 00:18:53,320 --> 00:18:57,000 Speaker 2: to make the data match right the population, which is 360 00:18:57,000 --> 00:18:58,480 Speaker 2: a smart thing to do if. 361 00:18:58,320 --> 00:18:59,200 Speaker 3: Things make sense. 362 00:18:59,680 --> 00:19:03,040 Speaker 2: But we have seen, particularly in the last election cycle, 363 00:19:03,080 --> 00:19:05,560 Speaker 2: but also for the last eight years is that demographics 364 00:19:05,560 --> 00:19:09,240 Speaker 2: are no longer reliable. We know Kamala Harris is not 365 00:19:09,240 --> 00:19:10,879 Speaker 2: going to win one hundred percent of the black vote. 366 00:19:11,080 --> 00:19:15,280 Speaker 2: We also know that Latinos and especially Latino men, and 367 00:19:15,400 --> 00:19:20,080 Speaker 2: especially young Latino men, are now overwhelmingly starting to favor 368 00:19:20,240 --> 00:19:23,520 Speaker 2: former President Trump. So where you used to apply a 369 00:19:23,560 --> 00:19:26,959 Speaker 2: screen for Latinos to be representative of the population, you 370 00:19:27,000 --> 00:19:30,720 Speaker 2: cannot do that. In addition to that, demographics in general 371 00:19:30,800 --> 00:19:34,920 Speaker 2: are so vastly changing here in the United States, which 372 00:19:34,920 --> 00:19:38,240 Speaker 2: is rapidly becoming a majority minority country, but not just 373 00:19:38,320 --> 00:19:43,959 Speaker 2: majority minority, multi racial country. So someone might be you know, 374 00:19:44,240 --> 00:19:49,640 Speaker 2: Cuban and also black, or maybe they are from Nicaragua 375 00:19:49,680 --> 00:19:54,800 Speaker 2: as a refugee, but they are married to a Chinese person. 376 00:19:54,880 --> 00:19:58,600 Speaker 2: Like there are, like these coalitions of demographics just don't 377 00:20:00,240 --> 00:20:02,360 Speaker 2: You can't rely on them anymore. So those screens are 378 00:20:02,440 --> 00:20:05,199 Speaker 2: effectively worthless. We've seen that in polling, so you don't know. 379 00:20:05,480 --> 00:20:08,840 Speaker 2: In addition to that, the models of polls are based 380 00:20:08,880 --> 00:20:11,199 Speaker 2: on who we think will vote, So if you have 381 00:20:11,320 --> 00:20:15,200 Speaker 2: suddenly young people voted in record numbers in twenty twenty 382 00:20:15,200 --> 00:20:17,919 Speaker 2: two are midterm elections for the congressional elections, which is 383 00:20:17,960 --> 00:20:21,080 Speaker 2: why the Republicans did not have the quote unquote red 384 00:20:21,119 --> 00:20:23,160 Speaker 2: wave that they had been predicting, because young people showed 385 00:20:23,400 --> 00:20:27,000 Speaker 2: part to protest real v wave being overturned. They turned 386 00:20:27,000 --> 00:20:29,080 Speaker 2: out in like I think it was about forty eight 387 00:20:29,119 --> 00:20:31,160 Speaker 2: percent or something. That was one of the highest turnouts 388 00:20:31,200 --> 00:20:32,879 Speaker 2: of young people. I don't have the number off the 389 00:20:32,880 --> 00:20:34,719 Speaker 2: top of my head. Let's say they show up at 390 00:20:34,720 --> 00:20:37,639 Speaker 2: seventy five percent of all young people vote today. That 391 00:20:37,720 --> 00:20:41,280 Speaker 2: will shatter every expectation we ever had, so inherently the 392 00:20:41,359 --> 00:20:43,280 Speaker 2: screens that we put on these polls are wrong. 393 00:20:43,760 --> 00:20:43,960 Speaker 3: Now. 394 00:20:44,040 --> 00:20:46,560 Speaker 2: That said, my students and I went to these battleground 395 00:20:46,560 --> 00:20:48,520 Speaker 2: states and we went to college campuses, and we did 396 00:20:48,600 --> 00:20:50,680 Speaker 2: encounter people on college campuses that were like. 397 00:20:50,720 --> 00:20:53,120 Speaker 3: Uh, is there an election going on? Who's on the ballot? 398 00:20:53,160 --> 00:20:57,800 Speaker 2: Like, there are definitely low information voters, but sometimes they 399 00:20:57,920 --> 00:21:00,840 Speaker 2: get caught up and they can register the same and 400 00:21:00,480 --> 00:21:02,119 Speaker 2: they will indeed. 401 00:21:02,200 --> 00:21:04,600 Speaker 3: Well cast about even if they're not an informed for her. 402 00:21:04,960 --> 00:21:08,560 Speaker 1: So that excuse it all. Look really appreciate your insights, Christina, 403 00:21:08,600 --> 00:21:10,359 Speaker 1: Thank you so much. I know you'll be following this 404 00:21:10,400 --> 00:21:12,640 Speaker 1: with great interest, as will people write around the world, 405 00:21:12,680 --> 00:21:14,280 Speaker 1: including people here in Adelaide. 406 00:21:14,520 --> 00:21:17,479 Speaker 2: Lovely chatting with you likewise my pleasure. 407 00:21:17,640 --> 00:21:18,720 Speaker 3: Have an amazing day. 408 00:21:18,800 --> 00:21:22,719 Speaker 1: Thank you you too. Professor Christina Bellentoni, who is a 409 00:21:22,760 --> 00:21:26,080 Speaker 1: professor of professional practice and director of the Media Center 410 00:21:26,240 --> 00:21:29,879 Speaker 1: USC Annenberg School for Communication and Journalism and married to 411 00:21:29,920 --> 00:21:33,240 Speaker 1: an Adelaide boy. As she said, the most important qualification