1 00:00:00,600 --> 00:00:03,800 Speaker 1: Already and this this is the Daily This is the 2 00:00:03,880 --> 00:00:06,920 Speaker 1: Daily oas Oh, now it makes sense. 3 00:00:15,520 --> 00:00:17,919 Speaker 2: Good morning and welcome to the Daily OS. It's Monday, 4 00:00:17,960 --> 00:00:21,520 Speaker 2: the seventh of October. I'm Sam, I'm Zara. There are 5 00:00:21,560 --> 00:00:25,680 Speaker 2: only twenty eight days until the US presidential election, and 6 00:00:26,000 --> 00:00:29,080 Speaker 2: according to most major polls, it's almost neck and neck 7 00:00:29,160 --> 00:00:32,440 Speaker 2: between current Vice President Kamala Harris of the Democratic Party 8 00:00:32,760 --> 00:00:37,080 Speaker 2: and former Republican President Donald Trump. Whilst the polls don't 9 00:00:37,080 --> 00:00:40,159 Speaker 2: tell us too much about who's going to win, they 10 00:00:40,200 --> 00:00:43,160 Speaker 2: do tell us where to look for clues, and that's 11 00:00:43,200 --> 00:00:46,760 Speaker 2: the seven important swing states, and they're universally believed to 12 00:00:46,800 --> 00:00:50,280 Speaker 2: be crucial to whoever will eventually take the White House. 13 00:00:51,120 --> 00:00:54,320 Speaker 2: In today's podcast, I talk to Chaz Lichadello, he's the 14 00:00:54,360 --> 00:00:57,680 Speaker 2: host of ABC's Planet America, to go a bit deeper 15 00:00:57,720 --> 00:01:00,840 Speaker 2: into this idea of swing states. We also talk about 16 00:01:00,880 --> 00:01:04,800 Speaker 2: opinion polling and the art of trying to predict US politics. 17 00:01:05,440 --> 00:01:08,240 Speaker 2: This isn't necessarily an episode about the big players in 18 00:01:08,280 --> 00:01:11,480 Speaker 2: this year's election. Rather, it's about the mechanics of the 19 00:01:11,560 --> 00:01:14,319 Speaker 2: US political system and some of the key ideas that 20 00:01:14,400 --> 00:01:16,920 Speaker 2: helps the rest of the news make a bit more sense. 21 00:01:17,480 --> 00:01:19,480 Speaker 2: We're going to get into that chat in just a minute, 22 00:01:19,560 --> 00:01:21,600 Speaker 2: but first, Sarah, what is making headlines? 23 00:01:24,240 --> 00:01:27,560 Speaker 3: Today marks one year since the October seven attack by 24 00:01:27,640 --> 00:01:31,360 Speaker 3: Hamas on Israel, where twelve hundred people were killed and 25 00:01:31,480 --> 00:01:34,960 Speaker 3: two hundred and fifty one people were taken hostage. A 26 00:01:35,040 --> 00:01:39,600 Speaker 3: day later, Israel declared war on Hamas, and since that time, 27 00:01:39,800 --> 00:01:43,400 Speaker 3: over forty one thousand Palestinians have been killed in Gaza. 28 00:01:44,160 --> 00:01:47,960 Speaker 3: Australia's Jewish communities are holding a number of commemorations to 29 00:01:48,080 --> 00:01:51,880 Speaker 3: mark the anniversary of October seven. The weekend also saw 30 00:01:51,960 --> 00:01:56,960 Speaker 3: mass pro Palestinian protests across the country. Yesterday, TDA posted 31 00:01:57,000 --> 00:01:59,600 Speaker 3: an explainer on the salient moments of the Middle Eastern 32 00:01:59,640 --> 00:02:02,440 Speaker 3: conflence over the past twelve months. In the lead up 33 00:02:02,520 --> 00:02:04,160 Speaker 3: to the anniversary. 34 00:02:05,400 --> 00:02:08,400 Speaker 2: Hundreds of Australians have landed in Cyprus on flights from 35 00:02:08,400 --> 00:02:12,360 Speaker 2: the Lebanese capital of Beirute, after boarding Australian government charter 36 00:02:12,440 --> 00:02:16,040 Speaker 2: flights launched to assist citizens to flee the wartorn country. 37 00:02:16,639 --> 00:02:19,520 Speaker 2: Israel has launched a series of intense air strikes and 38 00:02:19,680 --> 00:02:22,640 Speaker 2: a ground operation on southern Lebanon, which it says is 39 00:02:22,680 --> 00:02:26,280 Speaker 2: aimed at destroying terror group hezbola. According to the Lebanese 40 00:02:26,320 --> 00:02:29,120 Speaker 2: Health Ministry, over twelve hundred people have been killed over 41 00:02:29,160 --> 00:02:30,040 Speaker 2: the past two weeks. 42 00:02:31,680 --> 00:02:34,640 Speaker 3: The federal government has reached out to states and territories 43 00:02:34,760 --> 00:02:38,400 Speaker 3: asking for help developing plans to ban social media for children. 44 00:02:38,919 --> 00:02:41,960 Speaker 3: PM Anthony Abernezi has written to leaders across the country 45 00:02:42,000 --> 00:02:45,120 Speaker 3: requesting a range of things, including details on what the 46 00:02:45,200 --> 00:02:48,440 Speaker 3: preferred age limit would be, how they can implement the plan, 47 00:02:48,560 --> 00:02:52,120 Speaker 3: and what sort of exemptions could be considered. Last month, 48 00:02:52,160 --> 00:02:55,240 Speaker 3: the Australian government announced it would legislate an age limit 49 00:02:55,280 --> 00:02:58,200 Speaker 3: by the end of this year. South Australia became the 50 00:02:58,240 --> 00:03:00,720 Speaker 3: first date to take steps towards in reducing a limit 51 00:03:00,720 --> 00:03:02,079 Speaker 3: for children under fourteen. 52 00:03:02,320 --> 00:03:07,080 Speaker 2: Earlier this year, and in today's good News, scientists have 53 00:03:07,160 --> 00:03:10,320 Speaker 2: discovered a plastic eating bacteria that could be used to 54 00:03:10,360 --> 00:03:14,480 Speaker 2: help break down waste. Researchers from Northwestern University in the 55 00:03:14,600 --> 00:03:17,600 Speaker 2: US have discovered a bacteria in waste water that can 56 00:03:17,639 --> 00:03:20,240 Speaker 2: break down the plastic used in common food and drink 57 00:03:20,280 --> 00:03:24,359 Speaker 2: packaging and consume it as a food source. Researchers said 58 00:03:24,360 --> 00:03:27,120 Speaker 2: the discovery opens up the potential for the bacteria to 59 00:03:27,160 --> 00:03:30,680 Speaker 2: be used at scale to reduce microplastic pollutants in the 60 00:03:30,680 --> 00:03:38,360 Speaker 2: world's oceans, which threaten drinking water supplies and biodiversity. As 61 00:03:38,400 --> 00:03:42,120 Speaker 2: we edge closer and closer to the upcoming US presidential election, 62 00:03:42,680 --> 00:03:45,720 Speaker 2: you might notice some terms getting thrown around not only 63 00:03:45,840 --> 00:03:49,080 Speaker 2: by The Daily Ohs, but by all national and international 64 00:03:49,120 --> 00:03:53,400 Speaker 2: media that are unique to US politics, things like the 65 00:03:53,400 --> 00:03:57,800 Speaker 2: electoral college, swing states, particular discussions that are happening around 66 00:03:57,800 --> 00:04:01,280 Speaker 2: abortion or gun control. I think a really important part 67 00:04:01,360 --> 00:04:03,640 Speaker 2: of being a news consumer in the lead up to 68 00:04:03,960 --> 00:04:07,000 Speaker 2: a US election is actually taking some time to understand 69 00:04:07,080 --> 00:04:11,520 Speaker 2: what some of these very US specific ideas are. Now. 70 00:04:11,520 --> 00:04:13,240 Speaker 2: One of the ideas that there's come up a lot 71 00:04:13,320 --> 00:04:16,560 Speaker 2: when talking about the election with people here at the 72 00:04:16,640 --> 00:04:20,080 Speaker 2: Daily Ohs but also just friends and family, is why 73 00:04:20,200 --> 00:04:24,200 Speaker 2: both presidential candidates are spending so much time in very 74 00:04:24,240 --> 00:04:28,360 Speaker 2: specific parts of the country. And the answer, of course, 75 00:04:28,560 --> 00:04:31,520 Speaker 2: is this idea of swing states, or as they're referred 76 00:04:31,520 --> 00:04:35,279 Speaker 2: to sometimes in US media, battleground states. I wanted to 77 00:04:35,320 --> 00:04:38,240 Speaker 2: go a bit deeper into this, and it kind of 78 00:04:38,320 --> 00:04:41,520 Speaker 2: leads into a conversation about polling because, as you're hear 79 00:04:41,600 --> 00:04:44,719 Speaker 2: in my discussion with the co host of Planet America, 80 00:04:44,880 --> 00:04:48,240 Speaker 2: Chas Lichadello. We often looked at polls for a bit 81 00:04:48,279 --> 00:04:50,600 Speaker 2: of a clue as to who is leading in these 82 00:04:50,640 --> 00:04:54,520 Speaker 2: swing states. So this is an interesting conversation. It's a 83 00:04:54,520 --> 00:04:57,600 Speaker 2: little bit more about how to understand the system rather 84 00:04:57,640 --> 00:05:00,760 Speaker 2: than the candidates themselves. We spend so much talking about 85 00:05:00,800 --> 00:05:03,840 Speaker 2: Kamala Harris and Donald Trump all linked to some episodes 86 00:05:03,960 --> 00:05:07,240 Speaker 2: where we can talk about their policies. But here's that 87 00:05:07,320 --> 00:05:11,320 Speaker 2: chat with Chas about all things swing states. Chas, thanks 88 00:05:11,320 --> 00:05:14,400 Speaker 2: so much for joining us today. I wanted to get 89 00:05:14,760 --> 00:05:18,840 Speaker 2: your temperature on how you're feeling about the election. You're 90 00:05:18,839 --> 00:05:21,240 Speaker 2: stuck with me in the lift. You've got thirty seconds. 91 00:05:21,760 --> 00:05:22,680 Speaker 2: Where are we at. 92 00:05:23,279 --> 00:05:26,440 Speaker 1: We have seven states they're going to determine this election, 93 00:05:26,560 --> 00:05:29,720 Speaker 1: and they are all within two points of the other 94 00:05:29,880 --> 00:05:33,640 Speaker 1: side winning those states. Two points is a magic number. 95 00:05:33,800 --> 00:05:36,600 Speaker 1: It's the margin of error of almost every poll that 96 00:05:36,640 --> 00:05:41,080 Speaker 1: you see. What that means is literally either side can 97 00:05:41,120 --> 00:05:43,640 Speaker 1: win any of seven states. And that's been the case 98 00:05:43,680 --> 00:05:45,960 Speaker 1: now for over a month. I bet that's not going 99 00:05:46,040 --> 00:05:49,360 Speaker 1: to change. I think we're looking at potentially the closest 100 00:05:49,400 --> 00:05:52,640 Speaker 1: election that's ever been run, and I reckon that. Anyone 101 00:05:52,680 --> 00:05:55,400 Speaker 1: who says they know who's going to win going up 102 00:05:55,400 --> 00:05:58,840 Speaker 1: to this election is full of shit. It's going to 103 00:05:58,880 --> 00:06:00,480 Speaker 1: be really, really close. 104 00:06:01,040 --> 00:06:03,080 Speaker 2: And so when you're talking about those seven states, you're 105 00:06:03,120 --> 00:06:07,320 Speaker 2: referring to swing states, you're referring to sometimes I've heard them, 106 00:06:07,360 --> 00:06:11,320 Speaker 2: particularly in US media, called battleground states, and those are 107 00:06:11,320 --> 00:06:13,320 Speaker 2: the seven that hold the key. So I might just 108 00:06:13,320 --> 00:06:15,400 Speaker 2: take a moment to actually take you through these seven 109 00:06:15,480 --> 00:06:18,200 Speaker 2: states that we are talking about so much and run 110 00:06:18,279 --> 00:06:20,560 Speaker 2: you through not only where they are in the country, 111 00:06:20,560 --> 00:06:23,880 Speaker 2: but also how many electoral votes they each hold. So 112 00:06:23,960 --> 00:06:27,120 Speaker 2: Pennsylvania is the big one of the seven. It has 113 00:06:27,360 --> 00:06:30,960 Speaker 2: nineteen electoral votes. Then we have North Carolina and Georgia 114 00:06:31,120 --> 00:06:35,320 Speaker 2: they've got sixteen each, Michigan has fifteen, Arizona has eleven, 115 00:06:35,440 --> 00:06:39,320 Speaker 2: Wisconsin has ten, and Nevada has six. Now, if we 116 00:06:39,320 --> 00:06:41,840 Speaker 2: were to look at the polls, it looks like at 117 00:06:41,880 --> 00:06:45,920 Speaker 2: the moment, Karmala Harris is leading in Pennsylvania, Michigan, Wisconsin, 118 00:06:46,040 --> 00:06:49,719 Speaker 2: and Nevada. Trump is leading in North Carolina and Georgia. 119 00:06:50,040 --> 00:06:52,800 Speaker 2: And it's a bit of a lineball decision in Arizona. 120 00:06:52,880 --> 00:06:56,200 Speaker 2: Besides for the fact that they're very close contests, why 121 00:06:56,240 --> 00:06:57,280 Speaker 2: those seven. 122 00:06:57,360 --> 00:06:59,960 Speaker 1: There's nothing special that each of these states. They all 123 00:07:00,160 --> 00:07:02,640 Speaker 1: very different from each other. The only thing they have 124 00:07:02,680 --> 00:07:06,200 Speaker 1: in common is they happen to have about fifty percent 125 00:07:06,640 --> 00:07:09,720 Speaker 1: Republicans and fifty percent Democrats. Are the people who are 126 00:07:09,720 --> 00:07:13,400 Speaker 1: willing to vote. And that's an important emphasis that people 127 00:07:13,440 --> 00:07:16,120 Speaker 1: who are willing to vote, because I don't think people 128 00:07:16,200 --> 00:07:20,200 Speaker 1: realize how few people do vote in America, and if 129 00:07:20,240 --> 00:07:24,600 Speaker 1: one side can convince people who haven't voted before to 130 00:07:24,640 --> 00:07:27,920 Speaker 1: turn out to vote, we wouldn't know it until election day. 131 00:07:28,280 --> 00:07:30,800 Speaker 1: The reason why I say that is because one of 132 00:07:30,880 --> 00:07:34,239 Speaker 1: the keys with polls is what they call a likely 133 00:07:34,360 --> 00:07:37,640 Speaker 1: voter model. Because they don't just decide. They don't just 134 00:07:38,240 --> 00:07:42,280 Speaker 1: ask any rando in a poll. They ask people who 135 00:07:42,320 --> 00:07:46,280 Speaker 1: they think are likely to vote. Now, when you say 136 00:07:46,680 --> 00:07:49,000 Speaker 1: likely to vote, how do they know who's likely to vote? 137 00:07:49,040 --> 00:07:50,920 Speaker 1: You might think, Oh, they just ask them, are you 138 00:07:50,960 --> 00:07:53,400 Speaker 1: going to vote? And if they say yes, then they 139 00:07:53,440 --> 00:07:56,240 Speaker 1: say they're likely to vote. No, they don't do that 140 00:07:56,320 --> 00:07:59,720 Speaker 1: because people lie and people have no idea. In the past, 141 00:08:00,040 --> 00:08:02,440 Speaker 1: about twenty seven to twenty eight percent of people who 142 00:08:02,520 --> 00:08:06,040 Speaker 1: say they're definitely going to vote do not vote. So 143 00:08:06,360 --> 00:08:08,680 Speaker 1: the way they determine this is by looking at your 144 00:08:08,720 --> 00:08:13,000 Speaker 1: voting history. Because in America you can buy people's voting history, 145 00:08:12,560 --> 00:08:16,480 Speaker 1: and so if you haven't voted before, you're never going 146 00:08:16,560 --> 00:08:20,000 Speaker 1: to be in a poll, which means if one side 147 00:08:20,120 --> 00:08:23,520 Speaker 1: gets out an extra three or four percent of voters, 148 00:08:24,080 --> 00:08:26,559 Speaker 1: they won't turn up in any poll at all because 149 00:08:26,560 --> 00:08:29,480 Speaker 1: they're not likely voters, which is why when you have 150 00:08:29,520 --> 00:08:32,160 Speaker 1: a close election like this, could be a big surprise 151 00:08:32,280 --> 00:08:33,640 Speaker 1: who wins in a particular state. 152 00:08:34,000 --> 00:08:35,800 Speaker 2: And so is that the key dynamic at play in 153 00:08:35,920 --> 00:08:38,160 Speaker 2: terms of polling, because obviously here in Australia we have 154 00:08:38,240 --> 00:08:42,600 Speaker 2: compulsory polling, So if you did a census based example 155 00:08:42,760 --> 00:08:45,720 Speaker 2: of Australians, they have to vote, so you don't have 156 00:08:45,760 --> 00:08:49,400 Speaker 2: that extra layer of complexity. Is that why you think 157 00:08:49,440 --> 00:08:52,360 Speaker 2: there's this narrative that the polls have constantly gotten it wrong. 158 00:08:52,760 --> 00:08:55,640 Speaker 1: Yes. Yes, it is the hardest thing in the world 159 00:08:55,679 --> 00:08:58,040 Speaker 1: for a polster in America to try and work out 160 00:08:58,120 --> 00:08:59,960 Speaker 1: who is going to actually turn up to vote. 161 00:09:00,160 --> 00:09:02,080 Speaker 2: So why do we pay so much attention to them 162 00:09:02,160 --> 00:09:03,000 Speaker 2: in the media. 163 00:09:03,360 --> 00:09:06,040 Speaker 1: Because if we don't pay attention to them, we've got 164 00:09:06,200 --> 00:09:10,160 Speaker 1: no common frame of reference to talk about politics. Like 165 00:09:10,600 --> 00:09:13,280 Speaker 1: when I say to you, say, for instance, you asked 166 00:09:13,280 --> 00:09:16,480 Speaker 1: me about the debate and you say, who went well? 167 00:09:17,120 --> 00:09:19,120 Speaker 1: The first thing I would say is what the poll said. 168 00:09:19,400 --> 00:09:22,559 Speaker 1: If I said, oh, I thought Trump went well, then 169 00:09:22,559 --> 00:09:24,960 Speaker 1: you go, well, yeah, sure you thought that, but someone 170 00:09:24,960 --> 00:09:27,800 Speaker 1: else might think something else. And so the only way 171 00:09:28,400 --> 00:09:33,120 Speaker 1: in this world that we can evaluate anything that even 172 00:09:33,200 --> 00:09:36,920 Speaker 1: sounds objective is through some kind of referee, and that 173 00:09:37,160 --> 00:09:40,800 Speaker 1: is polling. So, even though polling is kind of fools gold, 174 00:09:41,480 --> 00:09:45,880 Speaker 1: it feels like objectivity, and so we, in our very 175 00:09:45,920 --> 00:09:49,920 Speaker 1: subjective existence, we reach for whatever objectivity we can find. 176 00:09:50,960 --> 00:09:53,840 Speaker 2: Explain to me, why then we're going to see the 177 00:09:53,880 --> 00:09:58,320 Speaker 2: candidates both candidates spend so much time in these states 178 00:09:58,360 --> 00:10:01,640 Speaker 2: when there might be other states. Let's take California, for example, 179 00:10:02,000 --> 00:10:05,040 Speaker 2: which Kamala Harris is going to win. I mean, we 180 00:10:05,080 --> 00:10:08,560 Speaker 2: can say that with almost perfect certainty. There's such a 181 00:10:08,559 --> 00:10:11,439 Speaker 2: bigger population in a place like California than one of 182 00:10:11,480 --> 00:10:15,080 Speaker 2: the swing states. Let's take Arizona or Pennsylvania. Why are 183 00:10:15,080 --> 00:10:17,920 Speaker 2: we going to see her campaign bus pull up so 184 00:10:18,000 --> 00:10:22,200 Speaker 2: many more times in Pennsylvania for let's say, sixty thousand 185 00:10:22,240 --> 00:10:25,680 Speaker 2: votes in one particular community than Los Angeles, where she 186 00:10:25,760 --> 00:10:26,760 Speaker 2: could have millions. 187 00:10:27,480 --> 00:10:30,120 Speaker 1: It's because the way the electoral college works in America 188 00:10:30,160 --> 00:10:32,480 Speaker 1: which is how they determine who wins the presidential election 189 00:10:32,880 --> 00:10:35,319 Speaker 1: is not by the number of votes. They don't care 190 00:10:35,520 --> 00:10:38,720 Speaker 1: about the number of votes. What they care about is 191 00:10:38,920 --> 00:10:41,640 Speaker 1: how many states you win or how many states you 192 00:10:41,640 --> 00:10:45,080 Speaker 1: get a majority in, and how much each state is worth. 193 00:10:45,320 --> 00:10:47,559 Speaker 1: And the way they determine how much each state is 194 00:10:47,600 --> 00:10:51,440 Speaker 1: worth it's quite a complicated formula, but essentially, the greater 195 00:10:51,520 --> 00:10:55,160 Speaker 1: the population, the more a state is worth. So say California, 196 00:10:55,240 --> 00:10:56,640 Speaker 1: off the top of my head, I think is worth 197 00:10:56,679 --> 00:11:00,240 Speaker 1: fifty five electoral college votes, whereas Nevada, of the top 198 00:11:00,280 --> 00:11:04,120 Speaker 1: of my head, is worth four I think electoral college votes. 199 00:11:04,480 --> 00:11:07,360 Speaker 1: So California is worth many more than the Vada. But 200 00:11:07,440 --> 00:11:10,640 Speaker 1: you get those fifty five electoral college votes from in 201 00:11:10,679 --> 00:11:14,200 Speaker 1: California just for getting fifty one percent of the vote 202 00:11:14,200 --> 00:11:18,960 Speaker 1: in California. In California, there's seventy percent of the voter 203 00:11:19,040 --> 00:11:22,080 Speaker 1: as a Democratic. There's no point for either side to 204 00:11:22,120 --> 00:11:26,960 Speaker 1: step one foot inside California because the fifty one percent 205 00:11:27,040 --> 00:11:29,959 Speaker 1: is already determined and the fifty five votes are going 206 00:11:30,000 --> 00:11:32,640 Speaker 1: to the Democrats. You're wasting your time. You might as 207 00:11:32,640 --> 00:11:36,200 Speaker 1: well spend time in states where it's really really close 208 00:11:36,240 --> 00:11:39,360 Speaker 1: and uncertain where those electoral College votes are going to go, 209 00:11:39,679 --> 00:11:41,960 Speaker 1: and they're the swing states, which is why everyone spends 210 00:11:41,960 --> 00:11:42,440 Speaker 1: time there. 211 00:11:42,880 --> 00:11:44,839 Speaker 2: I don't know if you've ever been in a swing 212 00:11:44,880 --> 00:11:47,640 Speaker 2: state in the lead up to an election, but is 213 00:11:47,679 --> 00:11:52,080 Speaker 2: it overwhelming? Like I imagine this huge political infrastructure of 214 00:11:52,080 --> 00:11:56,480 Speaker 2: both parties kind of cascading in on corners of America 215 00:11:56,559 --> 00:11:59,880 Speaker 2: that are largely quiet, you know, three years and eleven months, 216 00:12:00,440 --> 00:12:02,120 Speaker 2: and then they're just crazy for a month. 217 00:12:02,480 --> 00:12:04,920 Speaker 1: Look, I wish I could tell you personal experience, but 218 00:12:05,040 --> 00:12:07,360 Speaker 1: I've never even been in America during an election campaign, 219 00:12:07,400 --> 00:12:09,840 Speaker 1: let alone in the swing state during an election campaign, 220 00:12:09,880 --> 00:12:11,960 Speaker 1: So I can't tell you from my own personal experience. Yeah, 221 00:12:12,040 --> 00:12:14,240 Speaker 1: I can tell you this. I can't tell you that 222 00:12:14,280 --> 00:12:18,240 Speaker 1: not only do people get in physical fist fights over 223 00:12:18,679 --> 00:12:21,400 Speaker 1: yard signs, which is like the signs out the front 224 00:12:21,400 --> 00:12:24,640 Speaker 1: of their house saying vote vote for Trump, vote for 225 00:12:25,160 --> 00:12:27,840 Speaker 1: vote for Harris, but I can also tell you for 226 00:12:27,920 --> 00:12:31,880 Speaker 1: a fact that the primetime ad breaks in swing states 227 00:12:32,480 --> 00:12:36,880 Speaker 1: often have four to six ads about the election per 228 00:12:36,960 --> 00:12:40,000 Speaker 1: ad break for the entire three months leading up to 229 00:12:40,040 --> 00:12:42,960 Speaker 1: the election. So that would be quite overwhelming, I. 230 00:12:42,800 --> 00:12:45,640 Speaker 2: Imagine, and I'm sure the money being spent in those 231 00:12:45,640 --> 00:12:48,600 Speaker 2: particular states is quite overwhelming as well. Has there been 232 00:12:48,679 --> 00:12:51,600 Speaker 2: any sense that this electoral college model, where some states 233 00:12:51,600 --> 00:12:54,240 Speaker 2: are worth more than others, it's not a representative sample 234 00:12:54,720 --> 00:12:59,320 Speaker 2: of the US population. Has that been challenged? But like, 235 00:12:59,440 --> 00:13:00,960 Speaker 2: is that an election issue in itself? 236 00:13:02,120 --> 00:13:07,560 Speaker 1: It's like many things in America, when a system favors 237 00:13:07,720 --> 00:13:11,240 Speaker 1: one particular party over the other, well, it seems too 238 00:13:11,520 --> 00:13:15,120 Speaker 1: in an election, the people's opinions get filtered the long 239 00:13:15,160 --> 00:13:19,920 Speaker 1: party lines. So right now, Democrats despise the electoral college 240 00:13:19,920 --> 00:13:24,120 Speaker 1: system because Hillary Clinton won the popular vote but lost 241 00:13:24,120 --> 00:13:27,600 Speaker 1: the electoral college. Al Gore won the popular vote but 242 00:13:27,679 --> 00:13:30,800 Speaker 1: lost the electoral college in two thousand. So Democrats wish 243 00:13:30,880 --> 00:13:35,320 Speaker 1: it wasn't an election issue, but Republicans would never let 244 00:13:35,400 --> 00:13:37,480 Speaker 1: it be because they're very happy about the system at 245 00:13:37,480 --> 00:13:41,240 Speaker 1: the moment. Now. It's illogical in both cases, because there's 246 00:13:41,280 --> 00:13:44,640 Speaker 1: no reason why Republicans sometime in the future might not 247 00:13:44,760 --> 00:13:47,640 Speaker 1: win the popular vote but lose the electoral college. But 248 00:13:47,679 --> 00:13:49,400 Speaker 1: that's not how they think. They just look at the 249 00:13:49,480 --> 00:13:51,319 Speaker 1: last election when it mattered, and they go, who did 250 00:13:51,320 --> 00:13:54,240 Speaker 1: it help helped my side? Then I like it, and 251 00:13:54,320 --> 00:13:55,240 Speaker 1: so that's how it goes. 252 00:13:56,000 --> 00:13:59,240 Speaker 2: Cha's last question from me. You have the responsibility of 253 00:13:59,320 --> 00:14:02,520 Speaker 2: presenting a shit to Australia to update them on the 254 00:14:02,600 --> 00:14:05,360 Speaker 2: US in a really critical month. Where are you going 255 00:14:05,400 --> 00:14:07,840 Speaker 2: to be looking? I mean, we've talked in this conversation 256 00:14:07,920 --> 00:14:12,400 Speaker 2: about the polling, the issues that exist with polling, the 257 00:14:12,559 --> 00:14:15,400 Speaker 2: reasons why perhaps it's been wrong in the past. We 258 00:14:15,880 --> 00:14:17,920 Speaker 2: haven't talked about the media, of which you and I 259 00:14:17,960 --> 00:14:20,720 Speaker 2: are both proud members of, but there are obviously well 260 00:14:20,760 --> 00:14:23,560 Speaker 2: talked out issues with US media as well. Where are 261 00:14:23,560 --> 00:14:24,760 Speaker 2: you going to be looking for truth? 262 00:14:27,040 --> 00:14:31,480 Speaker 1: There's no one source in America of objective news. That's 263 00:14:31,520 --> 00:14:35,600 Speaker 1: certainly the case. And I mean, obviously I shouldn't just 264 00:14:35,600 --> 00:14:41,640 Speaker 1: say America. That's human nature, but America, particularly America, is 265 00:14:41,640 --> 00:14:45,040 Speaker 1: a very Parsian country, and there are very few people 266 00:14:45,120 --> 00:14:50,000 Speaker 1: who aren't extremely partisan, even by Australian standards. So I 267 00:14:50,000 --> 00:14:53,160 Speaker 1: certainly wouldn't recommend that particular source. What I would say is, 268 00:14:53,200 --> 00:14:57,080 Speaker 1: if you are someone who cares about what's going on 269 00:14:57,320 --> 00:15:00,520 Speaker 1: and you have a little bit of time, advise you 270 00:15:00,560 --> 00:15:05,160 Speaker 1: to read widely, to read outlets from different points of view. 271 00:15:05,160 --> 00:15:07,760 Speaker 1: That's certainly what I do. I mean, I wouldn't advise 272 00:15:07,800 --> 00:15:10,160 Speaker 1: you to read all I read because I spend forty 273 00:15:10,200 --> 00:15:13,360 Speaker 1: hours a day reading, but I would recommend if the 274 00:15:13,440 --> 00:15:16,120 Speaker 1: other time, spend an hour flick through a couple of 275 00:15:16,160 --> 00:15:19,520 Speaker 1: different different publications. Pick out a right wing one, pick 276 00:15:19,520 --> 00:15:22,600 Speaker 1: out a left wing one, because you're just you're never 277 00:15:22,680 --> 00:15:26,040 Speaker 1: going to get the whole story from one particular publication. 278 00:15:26,640 --> 00:15:29,920 Speaker 1: It just doesn't exist. They've all got their biases. Some 279 00:15:29,960 --> 00:15:32,360 Speaker 1: are more biased than others, but all are biased. So 280 00:15:32,400 --> 00:15:33,560 Speaker 1: you just need to read widely. 281 00:15:33,920 --> 00:15:35,960 Speaker 2: Something I've been saying to my friends as well is 282 00:15:36,040 --> 00:15:38,680 Speaker 2: if you have the time, watch a full speech, So watch. 283 00:15:38,760 --> 00:15:41,400 Speaker 2: You know, they're all uploaded by the Kamala Harris or 284 00:15:41,400 --> 00:15:44,760 Speaker 2: the Donald Trump channels to YouTube. We are guilty, all 285 00:15:44,800 --> 00:15:47,960 Speaker 2: of us, you know, ABC, TDA, everyone, of chopping these 286 00:15:47,960 --> 00:15:51,440 Speaker 2: speeches up into packages so that audiences can get around 287 00:15:51,440 --> 00:15:53,640 Speaker 2: it really quickly. But there is I think a benefit 288 00:15:53,640 --> 00:15:57,280 Speaker 2: in watching an entire rally and seeing how it plays out, 289 00:15:57,400 --> 00:16:02,480 Speaker 2: how audiences respond to particular issues, unedited versions of their messaging. 290 00:16:02,760 --> 00:16:04,800 Speaker 1: I think that's excellent. I think that's excellent advice. And 291 00:16:04,800 --> 00:16:08,480 Speaker 1: I would particularly say that with regards to probably the 292 00:16:08,520 --> 00:16:12,400 Speaker 1: question I get asked more than any by Australians is 293 00:16:12,800 --> 00:16:16,240 Speaker 1: how do people support Trump? Like Australians are really not 294 00:16:16,280 --> 00:16:19,720 Speaker 1: Trump fans generally speaking, and a lot of Austrainians don't 295 00:16:19,760 --> 00:16:21,680 Speaker 1: understand it at all. They just they go, well, the 296 00:16:21,680 --> 00:16:23,800 Speaker 1: on these Americans, they seem smart. Why they suppoint this 297 00:16:23,840 --> 00:16:27,000 Speaker 1: person who I have antipathy for? I say I not 298 00:16:27,200 --> 00:16:30,080 Speaker 1: me personally, but the person I'm speaking to and by 299 00:16:30,120 --> 00:16:31,880 Speaker 1: the ways say to them is just watch a rally. 300 00:16:32,360 --> 00:16:34,840 Speaker 1: Just watch a rally, and what you will find if 301 00:16:34,840 --> 00:16:37,360 Speaker 1: you watch a Trump rally. There's plenty of silliness, there, 302 00:16:37,840 --> 00:16:39,720 Speaker 1: no doubt about that, but at least you'll start to 303 00:16:39,760 --> 00:16:42,000 Speaker 1: understand why people like it. You need to watch a 304 00:16:42,000 --> 00:16:45,200 Speaker 1: whole rally. And if you can't understand why people like 305 00:16:45,200 --> 00:16:48,440 Speaker 1: a politician, forget Trump from now, just any politician, then 306 00:16:48,480 --> 00:16:51,160 Speaker 1: I definitely would recommend what you just said to pull 307 00:16:51,200 --> 00:16:53,280 Speaker 1: out one of their rallies and just just find out 308 00:16:53,320 --> 00:16:56,720 Speaker 1: what their supporters see. And if you can't work it out, 309 00:16:56,800 --> 00:16:57,840 Speaker 1: then you haven't watched enough. 310 00:16:58,440 --> 00:17:00,120 Speaker 2: It's only once every four years that we have to 311 00:17:00,120 --> 00:17:02,560 Speaker 2: slowly start building our literacy around the swing states, the 312 00:17:02,560 --> 00:17:05,719 Speaker 2: electoral college, the polling, the candidates chas. You've made that 313 00:17:05,760 --> 00:17:07,600 Speaker 2: a little bit easier today. Thank you so much for 314 00:17:07,640 --> 00:17:10,639 Speaker 2: your time, and we'll chat to you soon. That's how 315 00:17:10,640 --> 00:17:13,080 Speaker 2: we've got time for on today's edition of The Daily Odds. 316 00:17:13,080 --> 00:17:16,919 Speaker 2: It's certainly raised a couple more questions than answers that conversation, 317 00:17:17,040 --> 00:17:19,560 Speaker 2: and I think it's only good if we can have 318 00:17:19,600 --> 00:17:21,440 Speaker 2: these sorts of chats about the way that the US 319 00:17:21,520 --> 00:17:25,040 Speaker 2: presidential electoral system works. It's going to become more and 320 00:17:25,040 --> 00:17:27,720 Speaker 2: more important than the weeks ahead to understand the significance 321 00:17:27,800 --> 00:17:30,119 Speaker 2: of each states. And there was some really interesting stuff 322 00:17:30,160 --> 00:17:32,439 Speaker 2: from Chas there at the end about how to become 323 00:17:32,480 --> 00:17:34,840 Speaker 2: a better news consumer in what is one of the 324 00:17:34,840 --> 00:17:38,639 Speaker 2: most decisive and consequential elections in the world. We'll be 325 00:17:38,720 --> 00:17:41,520 Speaker 2: back again for another episode of The Daily Ods tomorrow, 326 00:17:41,520 --> 00:17:43,159 Speaker 2: but if you enjoyed that chat, I would love you 327 00:17:43,200 --> 00:17:46,040 Speaker 2: to check us out on YouTube. That's where we're trying 328 00:17:46,080 --> 00:17:49,200 Speaker 2: to grow this audience and engage more with the video 329 00:17:49,240 --> 00:17:51,440 Speaker 2: side of a podcast. Try and watching a podcast kind 330 00:17:51,440 --> 00:17:53,560 Speaker 2: of like watching a TV show. So if you could 331 00:17:53,600 --> 00:17:56,240 Speaker 2: jump on there and follow us, it really does send 332 00:17:56,280 --> 00:17:58,920 Speaker 2: a signal to YouTube that we're a channel worth paying 333 00:17:58,920 --> 00:18:02,439 Speaker 2: attention to helps us grow. Thanks so much for joining us. 334 00:18:02,440 --> 00:18:03,800 Speaker 2: We'll speak to you again tomorrow. 335 00:18:06,600 --> 00:18:08,919 Speaker 3: My name is Lily Maddon and I'm a proud Arunda 336 00:18:09,119 --> 00:18:13,919 Speaker 3: Bungelung Kalkutin woman from Gadighl country. The Daily oz acknowledges 337 00:18:14,000 --> 00:18:16,159 Speaker 3: that this podcast is recorded on the lands of the 338 00:18:16,200 --> 00:18:19,800 Speaker 3: Gadighl people and pays respect to all Aboriginal and torrest 339 00:18:19,840 --> 00:18:22,679 Speaker 3: Rate island and nations. We pay our respects to the 340 00:18:22,680 --> 00:18:25,479 Speaker 3: first peoples of these countries, both past and present.