1 00:00:01,280 --> 00:00:02,520 Speaker 1: Hither dup for c Ellen. 2 00:00:03,120 --> 00:00:06,000 Speaker 2: So Donald Trump has ruled out another presidential debate against 3 00:00:06,080 --> 00:00:08,360 Speaker 2: Kamala Harris before the US election in November. 4 00:00:08,920 --> 00:00:12,879 Speaker 1: So, because we've done two debates and because they were successful. 5 00:00:12,240 --> 00:00:16,759 Speaker 2: There will be no third debate. It's too late anyway, 6 00:00:16,760 --> 00:00:17,960 Speaker 2: the voting's already begun. 7 00:00:18,040 --> 00:00:19,439 Speaker 1: You've got to go out and vote. 8 00:00:19,560 --> 00:00:24,200 Speaker 2: Amy Takanian is a Republican strategist. Hey, Amy, Hello. Is 9 00:00:24,239 --> 00:00:27,000 Speaker 2: Trump saying no because he knows he lost that debate? 10 00:00:28,640 --> 00:00:31,680 Speaker 1: I believe. So he's actually claiming only a loser would 11 00:00:31,720 --> 00:00:34,760 Speaker 1: call for another debate, So he's trying to change the 12 00:00:34,840 --> 00:00:37,360 Speaker 1: narrative and out the win. 13 00:00:38,440 --> 00:00:40,519 Speaker 2: Isn't a smart move from him to not go in 14 00:00:40,560 --> 00:00:41,200 Speaker 2: for another one? 15 00:00:42,479 --> 00:00:44,960 Speaker 1: I would actually say so because I think that he's 16 00:00:45,000 --> 00:00:49,400 Speaker 1: already got his base in place very solidly, and there 17 00:00:49,400 --> 00:00:51,559 Speaker 1: are a number of people who are still wavering in 18 00:00:51,600 --> 00:00:55,800 Speaker 1: the center, and if he continues to have another mishap, 19 00:00:56,160 --> 00:01:00,240 Speaker 1: it very well solidify his next loss. Right. 20 00:01:00,280 --> 00:01:01,880 Speaker 2: So, which is to say that the only one who 21 00:01:02,040 --> 00:01:06,440 Speaker 2: can benefit from a debate is really Kamala Harris? 22 00:01:06,440 --> 00:01:09,640 Speaker 1: Correct, because she already comes in kind of at a 23 00:01:09,680 --> 00:01:13,520 Speaker 1: lower threshold. People really don't know too much about her. 24 00:01:13,600 --> 00:01:15,640 Speaker 1: They don't know too much about, you know, where she 25 00:01:15,720 --> 00:01:18,319 Speaker 1: stands on a number of issues. They just know that 26 00:01:18,680 --> 00:01:22,440 Speaker 1: she's held a few different offices throughout her lifetime, but 27 00:01:22,520 --> 00:01:26,720 Speaker 1: they don't really know exactly much about her as the individual. 28 00:01:27,000 --> 00:01:30,000 Speaker 1: So I think in this first debate, or this only 29 00:01:30,120 --> 00:01:34,240 Speaker 1: debate that she had between her and President Trump, she 30 00:01:34,400 --> 00:01:38,280 Speaker 1: really was able to shine without giving too much detail 31 00:01:38,520 --> 00:01:44,160 Speaker 1: about her stances. So she allowed him to take the bait, flounder, 32 00:01:44,840 --> 00:01:49,160 Speaker 1: fall apart, make himself, you know, continue to look you know, 33 00:01:49,320 --> 00:01:54,560 Speaker 1: very angry, upset, and and that's really what their message 34 00:01:54,600 --> 00:01:56,760 Speaker 1: has been. It's been, you know, do you want to 35 00:01:56,800 --> 00:01:59,600 Speaker 1: go back, do you want to go into another abyss 36 00:01:59,640 --> 00:02:01,880 Speaker 1: of anger or do you want to move forward? And 37 00:02:01,920 --> 00:02:04,920 Speaker 1: do you want to be positive? And they really don't 38 00:02:04,960 --> 00:02:07,720 Speaker 1: have to break down any policy in the meantime, which 39 00:02:07,760 --> 00:02:10,240 Speaker 1: is unfortunate, but that's where we are right now. 40 00:02:10,800 --> 00:02:14,600 Speaker 2: I know that two right minded people and people who 41 00:02:14,639 --> 00:02:16,839 Speaker 2: are maybe able to look at this kind of dispassionately. 42 00:02:16,880 --> 00:02:19,400 Speaker 2: The eating cats and dogs comments is pretty loony. But 43 00:02:19,520 --> 00:02:23,120 Speaker 2: does it actually hurt Donald Trump all of the coverage 44 00:02:23,120 --> 00:02:24,240 Speaker 2: that he's getting as a result of. 45 00:02:24,240 --> 00:02:27,840 Speaker 1: This, Well, I would say to his base, they actually 46 00:02:28,080 --> 00:02:32,520 Speaker 1: believe it. And so now there are stories that are 47 00:02:32,560 --> 00:02:36,840 Speaker 1: popping up on social media from people who are of 48 00:02:36,880 --> 00:02:40,000 Speaker 1: Haitian descent who are saying, listen, you know, my grandpa 49 00:02:40,200 --> 00:02:44,079 Speaker 1: used to do this for voodoo rituals. My auntie used 50 00:02:44,120 --> 00:02:45,760 Speaker 1: to do this, you know. But it was back in 51 00:02:45,800 --> 00:02:47,800 Speaker 1: Haiti because it was a third world country and they 52 00:02:47,800 --> 00:02:51,600 Speaker 1: were in survival mode. Not many stories, you hear, if 53 00:02:51,639 --> 00:02:54,880 Speaker 1: at all, about it actually happening here in the United 54 00:02:54,919 --> 00:02:57,360 Speaker 1: States of America, have been verified. 55 00:02:57,760 --> 00:03:00,440 Speaker 2: I mean, thank you, really interesting stuff. Appreciate time. That's 56 00:03:00,440 --> 00:03:04,200 Speaker 2: Amy's Titanian who's a Republican strategist. Now on that. Apparently 57 00:03:04,280 --> 00:03:07,080 Speaker 2: there is a hard right conspiracy theorist who's traveling with 58 00:03:07,160 --> 00:03:10,639 Speaker 2: Donald Trump at the moment, and some Republicans are blaming 59 00:03:10,639 --> 00:03:12,800 Speaker 2: this woman for the cats and dogs comment that he 60 00:03:12,840 --> 00:03:15,400 Speaker 2: made during debate. I've never heard of her before. Laura 61 00:03:15,560 --> 00:03:19,040 Speaker 2: luma Is her name, has like a huge following on Twitter. 62 00:03:19,120 --> 00:03:23,840 Speaker 2: Is apparently well known for spreading conspiracy theories, including probably 63 00:03:23,880 --> 00:03:26,200 Speaker 2: most notably, that the nine to eleven attacks were an 64 00:03:26,200 --> 00:03:28,760 Speaker 2: inside job that was carried out by the US government, 65 00:03:28,800 --> 00:03:31,359 Speaker 2: which obviously makes it particularly weird that she was at 66 00:03:31,400 --> 00:03:34,200 Speaker 2: the nine to eleven Memorial with Donald Trump on Wednesday, 67 00:03:34,240 --> 00:03:37,280 Speaker 2: and people got reasonably upset about that for obvious reasons. Anyway, 68 00:03:37,920 --> 00:03:41,080 Speaker 2: she traveled to the debate with Donald Trump on his 69 00:03:41,240 --> 00:03:45,240 Speaker 2: plane on Tuesday US time. Here's a really interesting thing. 70 00:03:45,520 --> 00:03:49,200 Speaker 2: On Monday US time, one day before the debate, she 71 00:03:49,440 --> 00:03:53,240 Speaker 2: tweeted the cats and dogs theory on Twitter. And for 72 00:03:53,320 --> 00:03:55,400 Speaker 2: that reason, because she had done it twenty four hours 73 00:03:55,440 --> 00:03:58,360 Speaker 2: before the debate, people and the Republicans reckon that he 74 00:03:58,440 --> 00:04:02,400 Speaker 2: got that idea from her. For more from Heather Duplessy 75 00:04:02,400 --> 00:04:05,560 Speaker 2: Allen Drive, listen live to News Talk SETB from four 76 00:04:05,600 --> 00:04:08,880 Speaker 2: pm weekdays, or follow the podcast on iHeartRadio.