1 00:00:00,560 --> 00:00:05,400 Speaker 1: Already and this is the Daily This is the Daily OS. Oh, 2 00:00:05,880 --> 00:00:16,200 Speaker 1: now it makes sense. Good morning, and welcome to the 3 00:00:16,280 --> 00:00:19,520 Speaker 1: Daily OS. It is Wednesday, the sixth of November. I'm Billy, 4 00:00:19,760 --> 00:00:23,360 Speaker 1: I'm Zara. As this podcast episode goes out this morning, 5 00:00:23,640 --> 00:00:26,040 Speaker 1: millions of people in the US are voting for the 6 00:00:26,079 --> 00:00:30,280 Speaker 1: country's next president. They're choosing between Kamala Harris from the 7 00:00:30,280 --> 00:00:34,279 Speaker 1: Democrats and Donald Trump from the Republican Party. Zara, I 8 00:00:34,280 --> 00:00:36,160 Speaker 1: cannot believe we are finally here. 9 00:00:36,479 --> 00:00:39,640 Speaker 2: You've never heard a topic spoken about more in the Leader, 10 00:00:39,960 --> 00:00:41,200 Speaker 2: but we are finally here. 11 00:00:41,240 --> 00:00:44,479 Speaker 1: It has been a dramatic run up to this. 12 00:00:44,440 --> 00:00:46,000 Speaker 3: Election, it sure has. 13 00:00:46,240 --> 00:00:48,839 Speaker 2: And I mean it's not even the end, it's almost 14 00:00:48,840 --> 00:00:49,519 Speaker 2: just the beginning. 15 00:00:49,560 --> 00:00:50,440 Speaker 1: It's only just starting. 16 00:00:50,680 --> 00:00:52,880 Speaker 2: So today we're going to go through some of the 17 00:00:53,000 --> 00:00:56,200 Speaker 2: key questions that you might find yourself wondering. You know, 18 00:00:56,440 --> 00:00:59,760 Speaker 2: it's firstly just a completely different system to be getting 19 00:00:59,760 --> 00:01:02,520 Speaker 2: our head around, but also the timing and when we'll 20 00:01:02,520 --> 00:01:05,120 Speaker 2: know things like there are just so many things to understand. 21 00:01:05,160 --> 00:01:07,399 Speaker 2: And I think that it's moments like this that lend 22 00:01:07,440 --> 00:01:10,880 Speaker 2: itself to tda's core. It's us just cutting through the noise. 23 00:01:11,280 --> 00:01:13,639 Speaker 2: You don't need to read and listen to every single 24 00:01:13,640 --> 00:01:15,720 Speaker 2: thing out there. We're going to give you the information 25 00:01:15,880 --> 00:01:19,120 Speaker 2: you need to know. And so, Billy, let's just start small. 26 00:01:19,680 --> 00:01:21,720 Speaker 2: How does the voting system work in the US? 27 00:01:22,080 --> 00:01:24,240 Speaker 1: Great one to start, I think, especially for us here 28 00:01:24,240 --> 00:01:27,440 Speaker 1: in Australia where our systems are so different. 29 00:01:27,560 --> 00:01:27,920 Speaker 3: Yeah. 30 00:01:27,959 --> 00:01:30,720 Speaker 1: Obviously, just to start, in the US, you are voting 31 00:01:30,720 --> 00:01:33,520 Speaker 1: for a person to be the leader. In Australia you're 32 00:01:33,600 --> 00:01:36,440 Speaker 1: voting for a party to lead the country, and then 33 00:01:36,480 --> 00:01:40,000 Speaker 1: from that the leader comes from it. Another key difference 34 00:01:40,200 --> 00:01:43,559 Speaker 1: is that voting is not compulsory in the US, whereas 35 00:01:43,600 --> 00:01:46,360 Speaker 1: here in Australia you will get fined if you do 36 00:01:46,520 --> 00:01:49,640 Speaker 1: not vote, which is why big focus for candidates is 37 00:01:49,640 --> 00:01:52,960 Speaker 1: to actually convince people to vote at all. In Australia, 38 00:01:53,000 --> 00:01:53,960 Speaker 1: we don't have that problem. 39 00:01:54,160 --> 00:01:57,600 Speaker 2: Yeah, And it's just such a big and stark difference 40 00:01:57,680 --> 00:01:59,320 Speaker 2: that not only do you have to go out there 41 00:01:59,360 --> 00:02:02,920 Speaker 2: and convince voters of why you should be elected, but 42 00:02:02,960 --> 00:02:04,840 Speaker 2: you actually have to go step back and say no, 43 00:02:04,920 --> 00:02:07,560 Speaker 2: you should be involved in this process. Yes, do we 44 00:02:07,640 --> 00:02:10,720 Speaker 2: understand how many people tend to go out and vote. 45 00:02:10,840 --> 00:02:13,720 Speaker 1: So in twenty twenty it was just over sixty percent 46 00:02:13,919 --> 00:02:17,119 Speaker 1: of the voting age population who voted, so that's over 47 00:02:17,160 --> 00:02:21,680 Speaker 1: one hundred million people. Their size is so big. And 48 00:02:21,760 --> 00:02:24,440 Speaker 1: one thing to note is that obviously we're talking about 49 00:02:24,440 --> 00:02:26,639 Speaker 1: this on a Wednesday. We are right in the middle 50 00:02:26,720 --> 00:02:29,720 Speaker 1: of a week, and that's because US elections are always 51 00:02:29,760 --> 00:02:33,280 Speaker 1: held on a Tuesday, when, of course most people are 52 00:02:33,400 --> 00:02:35,920 Speaker 1: at work, So it's not on a Saturday like it 53 00:02:36,000 --> 00:02:39,080 Speaker 1: is here, where you can just roll up to your local. 54 00:02:38,760 --> 00:02:41,359 Speaker 3: School character democracy sausage and call it a day. 55 00:02:42,000 --> 00:02:44,600 Speaker 1: You have to, you know, literally leave work. A lot 56 00:02:44,639 --> 00:02:47,520 Speaker 1: of people will have to get leave in order to vote. 57 00:02:47,840 --> 00:02:51,400 Speaker 1: And the reason for this is because in eighteen forty five, 58 00:02:51,800 --> 00:02:54,239 Speaker 1: a law was passed to set the national election day 59 00:02:54,280 --> 00:02:58,160 Speaker 1: on the first Tuesday of November every four years. 60 00:02:57,880 --> 00:02:59,840 Speaker 2: And that takes out the power, for example, that the 61 00:03:00,240 --> 00:03:03,240 Speaker 2: minister here has in that he can decide if he 62 00:03:03,240 --> 00:03:05,919 Speaker 2: wants to call an early election things aren't going too 63 00:03:05,960 --> 00:03:10,120 Speaker 2: well for him or her, they can call an early election. 64 00:03:10,320 --> 00:03:12,160 Speaker 3: That's not possible in the US. We're looking at a 65 00:03:12,160 --> 00:03:13,280 Speaker 3: completely different scenario. 66 00:03:13,400 --> 00:03:16,320 Speaker 1: No, it's always on the first Tuesday of November every 67 00:03:16,320 --> 00:03:18,560 Speaker 1: four years. And the reason for it being on a 68 00:03:18,639 --> 00:03:21,440 Speaker 1: Tuesday is because, again in eighteen forty five, which is 69 00:03:21,480 --> 00:03:25,880 Speaker 1: nearly two hundred years ago. Now, many Americans were farmers 70 00:03:25,919 --> 00:03:28,520 Speaker 1: who lived at least a day's commute away from their 71 00:03:28,560 --> 00:03:31,560 Speaker 1: nearest polling station, and so for a few different reasons, 72 00:03:31,560 --> 00:03:34,360 Speaker 1: it was decided that Tuesday was the most convenient day 73 00:03:34,440 --> 00:03:38,960 Speaker 1: to suit the average farmers schedule. Obviously, demographics have changed 74 00:03:39,000 --> 00:03:41,760 Speaker 1: a lot, and what an average person in the US's 75 00:03:41,960 --> 00:03:45,280 Speaker 1: day looks like is very different. But that doesn't mean 76 00:03:45,320 --> 00:03:46,840 Speaker 1: that they've changed their voting system. 77 00:03:47,120 --> 00:03:47,920 Speaker 3: It's incredible. 78 00:03:48,000 --> 00:03:50,400 Speaker 2: Okay, So it's not compulsory to vote, and you're voting 79 00:03:50,400 --> 00:03:53,320 Speaker 2: on a Tuesday. Those are two big differences. But then 80 00:03:53,440 --> 00:03:55,920 Speaker 2: I'd say the bigger conversation here is about how the 81 00:03:56,000 --> 00:03:59,240 Speaker 2: voting system actually works in the US. Talk me through 82 00:03:59,280 --> 00:04:00,640 Speaker 2: the electoral College. 83 00:04:00,800 --> 00:04:03,440 Speaker 1: Okay, So I'll start by saying how it's not done 84 00:04:03,720 --> 00:04:06,720 Speaker 1: and it's not chosen by popular vote. So the president 85 00:04:06,960 --> 00:04:10,400 Speaker 1: isn't chosen by the person who wins the most votes 86 00:04:10,440 --> 00:04:14,120 Speaker 1: across the country. In fact, very famously, in twenty sixteen, 87 00:04:14,440 --> 00:04:18,640 Speaker 1: Hillary Clinton did win more votes across the nation compared 88 00:04:18,680 --> 00:04:19,520 Speaker 1: to Trump. 89 00:04:19,240 --> 00:04:21,720 Speaker 3: On just raw numbers alone, just raw numbers. 90 00:04:21,440 --> 00:04:23,839 Speaker 1: I think it was something like three million more votes 91 00:04:23,880 --> 00:04:27,280 Speaker 1: that Hillary Clinton received compared to Donald Trump, but it 92 00:04:27,320 --> 00:04:30,480 Speaker 1: was because of how the system works, which is called 93 00:04:30,520 --> 00:04:33,360 Speaker 1: the electoral college system, that she did not end up 94 00:04:33,360 --> 00:04:34,400 Speaker 1: winning the presidency. 95 00:04:34,600 --> 00:04:36,720 Speaker 3: Okay, so talk me through the college system. 96 00:04:36,880 --> 00:04:38,840 Speaker 1: Okay, So what you need to know is that there 97 00:04:38,839 --> 00:04:42,560 Speaker 1: are five hundred and thirty eight electoral college votes available, 98 00:04:43,160 --> 00:04:47,040 Speaker 1: and each US state gets a specific number of electoral votes, 99 00:04:47,320 --> 00:04:51,760 Speaker 1: depending roughly on its population size. So, for example, California 100 00:04:51,920 --> 00:04:55,080 Speaker 1: has the most electric college votes with fifty four, and 101 00:04:55,120 --> 00:04:59,040 Speaker 1: then less populated states like Alaska they only have three. Okay, 102 00:04:59,040 --> 00:05:02,120 Speaker 1: and it's different for every state. Whoever gets the most 103 00:05:02,200 --> 00:05:05,440 Speaker 1: votes from a state's population wins all of that states 104 00:05:05,560 --> 00:05:08,840 Speaker 1: electoral votes, which are then cast in the electoral college. 105 00:05:08,960 --> 00:05:11,960 Speaker 2: So half of California's electoral college vote can't go to 106 00:05:12,000 --> 00:05:13,920 Speaker 2: one candidate and half go to the other. They would 107 00:05:13,920 --> 00:05:16,240 Speaker 2: all go to Kamala Harris or all go to Donald Trump. 108 00:05:16,520 --> 00:05:18,240 Speaker 2: That will go to Kamala Harris. 109 00:05:18,000 --> 00:05:20,760 Speaker 1: Just by nature exactly. So let's say sixty percent of 110 00:05:20,760 --> 00:05:24,159 Speaker 1: California voted for Kamala Harris and forty percent voted for 111 00:05:24,240 --> 00:05:27,360 Speaker 1: Donald Trump. That doesn't mean that sixty percent of California's 112 00:05:27,400 --> 00:05:30,080 Speaker 1: electoral votes goes to Kamala Harris. It means that one 113 00:05:30,200 --> 00:05:33,800 Speaker 1: hundred percent of California's fifty four electoral votes goes to 114 00:05:33,839 --> 00:05:34,680 Speaker 1: Kamala Harris. 115 00:05:34,480 --> 00:05:36,760 Speaker 2: Which is a lot of votes that you're looking for, 116 00:05:36,800 --> 00:05:38,159 Speaker 2: those kind of big ticket votes. 117 00:05:38,480 --> 00:05:41,719 Speaker 1: And now to be elected president, the candidate needs a 118 00:05:41,800 --> 00:05:45,560 Speaker 1: majority of two hundred and seventy electoral votes. So that 119 00:05:45,960 --> 00:05:48,640 Speaker 1: is the magic number. If you see one thing today, 120 00:05:48,720 --> 00:05:51,240 Speaker 1: it's going to be two hundred and seventy. Everyone is 121 00:05:51,240 --> 00:05:53,479 Speaker 1: going to be talking about that number. And just a 122 00:05:53,520 --> 00:05:56,000 Speaker 1: note on how I got to that two seventy. So, 123 00:05:56,120 --> 00:05:58,000 Speaker 1: like I said, there are the five hundred and thirty 124 00:05:58,040 --> 00:06:01,039 Speaker 1: eight electoral College votes, you divide that by two, which 125 00:06:01,080 --> 00:06:03,520 Speaker 1: is two hundred and sixty nine, and then you need 126 00:06:03,600 --> 00:06:06,119 Speaker 1: one more to reach your majority, which is two hundred 127 00:06:06,160 --> 00:06:06,640 Speaker 1: and seventy. 128 00:06:07,160 --> 00:06:10,000 Speaker 2: Well, we get our heads across that Maths equation. We're 129 00:06:10,000 --> 00:06:12,200 Speaker 2: just going to take a quick break for today's sponsor. 130 00:06:13,279 --> 00:06:14,680 Speaker 2: I just want to pick up on something we were 131 00:06:14,720 --> 00:06:17,640 Speaker 2: talking about before you talked to me through your Math's 132 00:06:17,640 --> 00:06:21,159 Speaker 2: equation that I completely zoned out for. We were talking 133 00:06:21,240 --> 00:06:25,000 Speaker 2: there about California, and I intimated that that will almost 134 00:06:25,040 --> 00:06:27,960 Speaker 2: one hundred percent end up going to Kamla Harris. Because 135 00:06:28,000 --> 00:06:31,120 Speaker 2: we know it's a blue state, and that just means 136 00:06:31,160 --> 00:06:35,640 Speaker 2: that it has overwhelmingly always backed a Democrat aligned candidate. 137 00:06:35,839 --> 00:06:37,560 Speaker 1: Can I just pick up on something there? You said 138 00:06:37,560 --> 00:06:40,159 Speaker 1: a blue state. One thing to also know today is 139 00:06:40,160 --> 00:06:42,960 Speaker 1: that blue is Democrats and red is Republican. 140 00:06:43,080 --> 00:06:46,000 Speaker 2: Yeah, exactly, good point. So can you talk to me 141 00:06:46,000 --> 00:06:47,640 Speaker 2: a bit about these safe states? 142 00:06:48,000 --> 00:06:50,919 Speaker 1: Yeah, So essentially, when we are talking about a safe state, 143 00:06:51,000 --> 00:06:53,520 Speaker 1: we are saying that we have a very good understanding 144 00:06:53,600 --> 00:06:55,880 Speaker 1: of how that state is going to vote, and that 145 00:06:56,040 --> 00:06:59,320 Speaker 1: is most states. So most states lean so strongly Republican 146 00:06:59,440 --> 00:07:03,400 Speaker 1: or Democrats that it's hardly a contest. So, for example, 147 00:07:03,440 --> 00:07:06,680 Speaker 1: the state of Wyoming hasn't voted for a Democratic president 148 00:07:06,960 --> 00:07:11,120 Speaker 1: since nineteen sixty four, so basically sixty years. And so 149 00:07:11,240 --> 00:07:14,560 Speaker 1: Kamala Harris has not spent any time holding rallies in 150 00:07:14,720 --> 00:07:17,760 Speaker 1: Wyoming because that's just considered a waste of her time. 151 00:07:17,640 --> 00:07:20,720 Speaker 2: Because it's almost entirely set to go to Donald Trump. 152 00:07:20,760 --> 00:07:21,040 Speaker 3: Exactly. 153 00:07:21,080 --> 00:07:23,040 Speaker 1: It seems way too unlikely, and so there's no point 154 00:07:23,120 --> 00:07:26,360 Speaker 1: her spending any time there. Now, if Harris and Trump 155 00:07:26,520 --> 00:07:29,880 Speaker 1: both win all of the states that are considered pretty safe, 156 00:07:30,160 --> 00:07:33,160 Speaker 1: then Harris will have two hundred and twenty six electoral 157 00:07:33,160 --> 00:07:36,239 Speaker 1: College votes and Donald Trump has two hundred and nineteen, 158 00:07:36,680 --> 00:07:39,400 Speaker 1: and reminder, they need to get to two seventy. So 159 00:07:39,480 --> 00:07:42,280 Speaker 1: Kamala Harris two hundred and twenty six, Donald Trump two 160 00:07:42,360 --> 00:07:43,320 Speaker 1: hundred and nineteen. 161 00:07:43,160 --> 00:07:45,280 Speaker 2: Okay, And so I imagine that's where the swing states 162 00:07:45,280 --> 00:07:46,840 Speaker 2: come into the equation exactly. 163 00:07:46,880 --> 00:07:49,760 Speaker 1: So, swing states are those that have switched between voting 164 00:07:49,800 --> 00:07:53,920 Speaker 1: Republican and Democrat at recent elections. Usually every US election 165 00:07:54,120 --> 00:07:56,680 Speaker 1: there are between six to eight swing states that really 166 00:07:56,720 --> 00:08:00,360 Speaker 1: determine the outcome of that election. This election, there are 167 00:08:00,400 --> 00:08:03,600 Speaker 1: seven that have been identified, and I'm going to list 168 00:08:03,640 --> 00:08:05,400 Speaker 1: them because they are the states that if you're watching 169 00:08:05,440 --> 00:08:08,320 Speaker 1: any coverage today, you will hear a lot about these states. 170 00:08:08,720 --> 00:08:14,960 Speaker 1: So there's Pennsylvania, North Carolina, Georgia, Michigan, Wisconsin, Arizona, and Nevada. 171 00:08:15,600 --> 00:08:18,480 Speaker 1: Now Pennsylvania is one of the key ones because that 172 00:08:18,600 --> 00:08:21,120 Speaker 1: is the swing state with the most electoral college votes, 173 00:08:21,240 --> 00:08:24,680 Speaker 1: so they have nineteen. And now in terms of polling, 174 00:08:25,200 --> 00:08:27,960 Speaker 1: neither Trump or Harris are leading by more than two 175 00:08:28,120 --> 00:08:30,760 Speaker 1: points in any of those seven key swing states that 176 00:08:30,800 --> 00:08:33,040 Speaker 1: I mentioned, And so what that tells us is it's 177 00:08:33,040 --> 00:08:35,840 Speaker 1: going to be extremely tight in those swing states and 178 00:08:35,880 --> 00:08:38,079 Speaker 1: that all of them are pretty much up for grabs. 179 00:08:38,400 --> 00:08:40,959 Speaker 2: And so what that means for all of us who 180 00:08:40,960 --> 00:08:43,240 Speaker 2: are going to be watching is that we can expect 181 00:08:43,280 --> 00:08:46,040 Speaker 2: the states like California or like Wyoming, which we've already 182 00:08:46,080 --> 00:08:48,720 Speaker 2: spoken about today, to fall pretty quickly and to be 183 00:08:48,800 --> 00:08:51,679 Speaker 2: declared pretty quickly. But then once those are all out 184 00:08:51,720 --> 00:08:54,000 Speaker 2: of the way, it's about where will these swing states 185 00:08:54,000 --> 00:08:57,400 Speaker 2: fall whose favor will they fall in, and what does 186 00:08:57,440 --> 00:08:59,560 Speaker 2: that mean about who can get to that magic number 187 00:08:59,720 --> 00:09:02,719 Speaker 2: for And so I guess my next question is when 188 00:09:02,760 --> 00:09:04,840 Speaker 2: are we going to know what the results is? 189 00:09:05,360 --> 00:09:08,360 Speaker 1: That is the million dollar question that I wish we 190 00:09:08,400 --> 00:09:10,880 Speaker 1: could look into a Crystal Paul and find out. What 191 00:09:10,920 --> 00:09:13,480 Speaker 1: we know is that the last polls closed four PM 192 00:09:13,760 --> 00:09:17,079 Speaker 1: our time, so Australian Eastern daylight time. The last dates 193 00:09:17,080 --> 00:09:21,040 Speaker 1: to have their polls closed is Alaska and Hawaii. Now, 194 00:09:21,240 --> 00:09:23,959 Speaker 1: historically the result has been known on the night of 195 00:09:24,000 --> 00:09:27,520 Speaker 1: the election, which is today in Australia, so Wednesday daytime 196 00:09:27,559 --> 00:09:28,120 Speaker 1: in Australia. 197 00:09:28,280 --> 00:09:30,400 Speaker 2: Can I just interject to say, it's so nice that 198 00:09:30,440 --> 00:09:33,319 Speaker 2: there's a possibility we'll have a result during the daytime 199 00:09:33,360 --> 00:09:35,640 Speaker 2: and not at three am. I feel like the Olympics. 200 00:09:35,640 --> 00:09:38,600 Speaker 2: In Paralympics really got us with those four am way yepes. 201 00:09:38,600 --> 00:09:43,600 Speaker 2: But if everything is clear, we could know something during 202 00:09:43,640 --> 00:09:44,200 Speaker 2: the day today. 203 00:09:44,280 --> 00:09:46,120 Speaker 1: Yeah, we could have it during the daylight hours. I 204 00:09:46,160 --> 00:09:48,880 Speaker 1: remember in twenty sixteen that we did know during the 205 00:09:48,960 --> 00:09:52,880 Speaker 1: day on the Wednesday that Trump had won. You might remember, though, 206 00:09:53,000 --> 00:09:56,200 Speaker 1: that last election in twenty twenty, it took four days 207 00:09:56,240 --> 00:09:59,640 Speaker 1: for the final election result to be called. I remember 208 00:10:00,200 --> 00:10:03,080 Speaker 1: just being glued to my TV screen and I don't 209 00:10:03,080 --> 00:10:04,440 Speaker 1: think I had moved for four days. 210 00:10:04,800 --> 00:10:07,000 Speaker 3: Was that a birthday brunch? Yes, when it got called. 211 00:10:07,080 --> 00:10:10,640 Speaker 1: Yeah, And so it wasn't until the Saturday, which is 212 00:10:10,679 --> 00:10:12,800 Speaker 1: Sunday in Australia, when you're out your brunch. 213 00:10:12,600 --> 00:10:15,000 Speaker 3: Zara important happy birthday, Lexi. 214 00:10:14,760 --> 00:10:18,400 Speaker 1: For us to know that Joe Biden had won. Now, 215 00:10:18,440 --> 00:10:22,040 Speaker 1: experts are predicting that the race could be just as 216 00:10:22,120 --> 00:10:25,080 Speaker 1: tight as it was in twenty twenty, but there have 217 00:10:25,240 --> 00:10:28,480 Speaker 1: been a few different changes to how the counting system 218 00:10:28,520 --> 00:10:31,559 Speaker 1: works in different states that could speed the process up. 219 00:10:31,880 --> 00:10:34,839 Speaker 1: But who knows. If it's super close, then it could 220 00:10:34,840 --> 00:10:35,360 Speaker 1: be days. 221 00:10:36,040 --> 00:10:38,520 Speaker 2: Another thing about the twenty twenty election is that it 222 00:10:38,640 --> 00:10:41,000 Speaker 2: was during COVID, and so we know that there were 223 00:10:41,000 --> 00:10:42,880 Speaker 2: a lot of votes by mail because people weren't able 224 00:10:42,880 --> 00:10:45,240 Speaker 2: to get out and vote. What's the difference now with 225 00:10:45,320 --> 00:10:45,840 Speaker 2: this election. 226 00:10:46,120 --> 00:10:49,040 Speaker 1: Yeah, in twenty twenty, there was actually an unprecedented number 227 00:10:49,080 --> 00:10:52,080 Speaker 1: of people who voted by mail, and that did slow 228 00:10:52,120 --> 00:10:55,120 Speaker 1: down the process. Like I said, a few different changes 229 00:10:55,160 --> 00:10:57,839 Speaker 1: have been made in different states that could now speed 230 00:10:57,920 --> 00:11:00,360 Speaker 1: up the process. But another thing to note is that 231 00:11:00,480 --> 00:11:03,720 Speaker 1: last time, we saw an early Republican swing in some 232 00:11:03,960 --> 00:11:07,360 Speaker 1: states before the mail in votes had been counted, and 233 00:11:07,400 --> 00:11:10,320 Speaker 1: what was then discovered is that Democrats were more likely 234 00:11:10,440 --> 00:11:13,600 Speaker 1: to vote by mail and that meant that the Republican 235 00:11:13,640 --> 00:11:16,800 Speaker 1: swing early on turned out to be misleading in some 236 00:11:16,840 --> 00:11:19,199 Speaker 1: of those states. So just something to keep an eye out. 237 00:11:19,240 --> 00:11:21,120 Speaker 1: Who knows if that will happen again this year, but 238 00:11:21,320 --> 00:11:24,520 Speaker 1: again something to keep an eye out. I think that's it. 239 00:11:24,679 --> 00:11:28,720 Speaker 1: I think that covers it. I hope it's not information overload, 240 00:11:28,760 --> 00:11:30,040 Speaker 1: But we kind of just wanted to give you a 241 00:11:30,120 --> 00:11:32,320 Speaker 1: run through of kind of the basics of the state 242 00:11:32,360 --> 00:11:34,880 Speaker 1: of play in the US at the moment. Zara, Before 243 00:11:34,880 --> 00:11:37,560 Speaker 1: we go, I have to ask you, I actually do know, 244 00:11:37,640 --> 00:11:40,200 Speaker 1: but I'd like you to share with the listeners exactly 245 00:11:40,280 --> 00:11:43,880 Speaker 1: your thoughts on who sele thought on who do you 246 00:11:43,920 --> 00:11:45,120 Speaker 1: think will win? 247 00:11:46,000 --> 00:11:49,319 Speaker 3: I have for a very long time believed that Donald 248 00:11:49,360 --> 00:11:51,200 Speaker 3: Trump will be the winner of this election. 249 00:11:51,520 --> 00:11:52,640 Speaker 1: Please explain I. 250 00:11:53,200 --> 00:11:54,600 Speaker 2: I mean, I think that there are lots of different 251 00:11:54,600 --> 00:11:57,560 Speaker 2: things at play, but I think the biggest cohort that 252 00:11:57,760 --> 00:12:00,640 Speaker 2: perhaps isn't being spoken about as wide or I have 253 00:12:00,679 --> 00:12:03,160 Speaker 2: seen quite a lot of articles recently, but perhaps in 254 00:12:03,240 --> 00:12:07,160 Speaker 2: the earlier parts of the election campaign, is this group 255 00:12:07,280 --> 00:12:11,520 Speaker 2: of young, white, non college educated men, and I think 256 00:12:11,640 --> 00:12:14,800 Speaker 2: that they could turn out en mass and really lead 257 00:12:14,880 --> 00:12:18,200 Speaker 2: to a Trump victory. But I imagine it'll be a 258 00:12:18,240 --> 00:12:20,160 Speaker 2: close one, but I think he might scrape through. 259 00:12:20,400 --> 00:12:20,960 Speaker 3: What about you. 260 00:12:21,600 --> 00:12:24,320 Speaker 1: I have also thought that Trump would win, but I 261 00:12:24,360 --> 00:12:27,800 Speaker 1: think in recent weeks, and perhaps in the last month, 262 00:12:27,880 --> 00:12:30,760 Speaker 1: we have seen maybe a bit more of a shift 263 00:12:30,800 --> 00:12:33,960 Speaker 1: towards Kamala Harris. Over the weekend, we saw that in 264 00:12:34,000 --> 00:12:36,120 Speaker 1: the state of Iowa, which is not one of the 265 00:12:36,200 --> 00:12:38,840 Speaker 1: key swing states that we mentioned, a new poll came 266 00:12:38,840 --> 00:12:41,040 Speaker 1: out of there that said that Kamala Harris was actually 267 00:12:41,080 --> 00:12:41,560 Speaker 1: ahead of. 268 00:12:41,600 --> 00:12:42,839 Speaker 3: That was a bigie. 269 00:12:42,880 --> 00:12:46,160 Speaker 1: That was big news. But look, I don't think that 270 00:12:46,320 --> 00:12:49,120 Speaker 1: Kamala Harris will win Iowa, but I think that that 271 00:12:49,400 --> 00:12:52,160 Speaker 1: result could be representative of a bit of a swing 272 00:12:52,320 --> 00:12:56,680 Speaker 1: happening in the recent weeks. Again, I mean it's nothing 273 00:12:56,720 --> 00:12:58,080 Speaker 1: new to say. Who knows. 274 00:12:58,240 --> 00:13:00,400 Speaker 3: Yeah, time you go. We're hedging out, Betsy. Either way, 275 00:13:00,800 --> 00:13:03,280 Speaker 3: we will be one hundred percent correct. Either way. 276 00:13:03,320 --> 00:13:05,760 Speaker 2: We will be back again tomorrow and we'll bring you 277 00:13:05,920 --> 00:13:08,280 Speaker 2: all the updates and all the news you need to know. 278 00:13:08,559 --> 00:13:11,200 Speaker 2: You can follow along on our Instagram page, sign up 279 00:13:11,200 --> 00:13:13,800 Speaker 2: to our newsletter, or find us here on the podcast 280 00:13:14,320 --> 00:13:16,440 Speaker 2: strap In. It's going to be a big couple of days, 281 00:13:16,480 --> 00:13:18,080 Speaker 2: but we are here to take you through it. 282 00:13:18,400 --> 00:13:20,360 Speaker 3: Thanks for your support. We'll chat to you again tomorrow. 283 00:13:23,200 --> 00:13:25,520 Speaker 1: My name is Lily Maddon and I'm a proud Arunda 284 00:13:25,720 --> 00:13:30,520 Speaker 1: Bungelung Caalcutin woman from Gadighl Country. The Daily oz acknowledges 285 00:13:30,600 --> 00:13:32,760 Speaker 1: that this podcast is recorded on the lands of the 286 00:13:32,800 --> 00:13:36,360 Speaker 1: Gadighl people and pays respect to all Aboriginal and Torres 287 00:13:36,360 --> 00:13:39,280 Speaker 1: Strain island and nations. We pay our respects to the 288 00:13:39,280 --> 00:13:42,080 Speaker 1: first peoples of these countries, both past and present.