1 00:00:00,920 --> 00:00:05,760 Speaker 1: This is gem Nation. Who is the new Prime Minister 2 00:00:05,760 --> 00:00:08,360 Speaker 1: of Britain. It is a woman called Liz Truss and 3 00:00:08,360 --> 00:00:11,440 Speaker 1: in recent weeks she's been there's been a tussle or 4 00:00:11,440 --> 00:00:14,720 Speaker 1: a trustle between her and one of the other proposed 5 00:00:14,800 --> 00:00:17,000 Speaker 1: leaders as to who was going to get it, and 6 00:00:17,040 --> 00:00:20,560 Speaker 1: a whole lot of people have been trolling her, congratulating her, 7 00:00:20,600 --> 00:00:22,000 Speaker 1: looking at her rise to power. 8 00:00:22,120 --> 00:00:23,320 Speaker 2: Why would they troll her? 9 00:00:23,600 --> 00:00:26,000 Speaker 1: Oh, well, she's a politician. Lots of people aren't a 10 00:00:26,000 --> 00:00:26,680 Speaker 1: fan of hers. 11 00:00:27,200 --> 00:00:29,080 Speaker 2: She's got good legs. We established that, bore well, you 12 00:00:29,200 --> 00:00:32,240 Speaker 2: established you and I established thattablished any I didn't establish 13 00:00:32,280 --> 00:00:34,240 Speaker 2: any of that. I held up the paper, I said, 14 00:00:34,280 --> 00:00:35,840 Speaker 2: hasn't she got good legs? Went yes? 15 00:00:36,200 --> 00:00:39,680 Speaker 1: I said, I think she'd rather be congratulated for being 16 00:00:39,680 --> 00:00:40,320 Speaker 1: the new prime. 17 00:00:40,080 --> 00:00:41,640 Speaker 2: Minister to know that you've got good legs. 18 00:00:43,080 --> 00:00:45,800 Speaker 1: The interesting thing for me in this story is that 19 00:00:45,920 --> 00:00:49,680 Speaker 1: people have been tagging a random person instead of the 20 00:00:49,760 --> 00:00:56,080 Speaker 1: new prime minister on Twitter, and so Liz Truss at 21 00:00:56,160 --> 00:01:00,920 Speaker 1: Liz Truss isn't the British Prime Minister's Twitter handle. It's 22 00:01:00,960 --> 00:01:05,360 Speaker 1: a woman called Liz Trussel and for years that's been 23 00:01:05,440 --> 00:01:09,400 Speaker 1: her social media handle, and so she's for weeks had 24 00:01:09,440 --> 00:01:16,120 Speaker 1: people abusing her congratulating her, and since her ascendency to power, 25 00:01:16,640 --> 00:01:19,840 Speaker 1: people within her own party have been congratulating her. The 26 00:01:19,880 --> 00:01:25,400 Speaker 1: Swedish Prime Minister tweeted her and said we will continue 27 00:01:25,400 --> 00:01:28,560 Speaker 1: our deep and comprehensive cooperation between the UK and Sweden, 28 00:01:28,840 --> 00:01:31,479 Speaker 1: and she's answered great, look forward to a visit. Get 29 00:01:31,480 --> 00:01:35,520 Speaker 1: the meatballs ready and the royal family. She said, this 30 00:01:35,680 --> 00:01:38,120 Speaker 1: is great. I'm off to meet the new Liz, I 31 00:01:38,280 --> 00:01:41,880 Speaker 1: mean Liz her Liz. Let's make it happen. She's answering 32 00:01:41,920 --> 00:01:45,600 Speaker 1: it all and she's very very funny. So actually, so 33 00:01:45,640 --> 00:01:48,240 Speaker 1: she's so funny. People have led for her to be 34 00:01:48,400 --> 00:01:51,640 Speaker 1: declared the new leader and there's a new hashtag in 35 00:01:51,720 --> 00:01:56,200 Speaker 1: trustle we trust meaning her of course. So everyone, as 36 00:01:56,200 --> 00:01:59,200 Speaker 1: I said, from people in her own party, have been 37 00:01:59,560 --> 00:02:02,680 Speaker 1: randomly congratulating someone who has nothing to do with any 38 00:02:02,720 --> 00:02:03,040 Speaker 1: of it. 39 00:02:03,000 --> 00:02:05,640 Speaker 2: It's good and that's the technology that you have these days. 40 00:02:05,680 --> 00:02:06,640 Speaker 2: It's so easy to do. 41 00:02:07,040 --> 00:02:10,120 Speaker 1: This is so public, you know. The Swedish Prime minister, 42 00:02:10,320 --> 00:02:13,079 Speaker 1: well done at Liz Trust. Well, sorry, that's not her. 43 00:02:14,000 --> 00:02:17,000 Speaker 2: I once texted myself to see if I got home. Okay, yes, 44 00:02:17,200 --> 00:02:20,080 Speaker 2: so I thought I was texting possibly you said did 45 00:02:20,120 --> 00:02:22,720 Speaker 2: you get home okay? And then I've looked at the 46 00:02:22,760 --> 00:02:25,160 Speaker 2: text goo, Yeah I got home okay, what about you? 47 00:02:25,440 --> 00:02:28,280 Speaker 2: And then there was no reply. I put an abusive text, 48 00:02:28,440 --> 00:02:31,400 Speaker 2: well thanks for not caring, and you were talking to you, 49 00:02:31,560 --> 00:02:33,239 Speaker 2: And then I looked at the whole text exchange. I 50 00:02:33,280 --> 00:02:34,800 Speaker 2: think I'm just texting myself. 51 00:02:34,840 --> 00:02:37,360 Speaker 1: Yes, you were just texting yourself. 52 00:02:37,440 --> 00:02:40,400 Speaker 2: I did also wake up on my garage floor dressed 53 00:02:40,400 --> 00:02:41,200 Speaker 2: as John Lennon. 54 00:02:42,200 --> 00:02:45,239 Speaker 1: So it's not mentioned that you nearly threw. 55 00:02:45,120 --> 00:02:49,160 Speaker 2: Up car her brand new kea car. 56 00:02:50,760 --> 00:02:54,079 Speaker 1: We almost ran new. We folded you like a pretzel 57 00:02:54,120 --> 00:02:57,280 Speaker 1: to get you into the car, and you almost rewarded 58 00:02:57,280 --> 00:02:58,200 Speaker 1: her by spewing him. 59 00:02:58,720 --> 00:03:02,440 Speaker 2: We got we're driving on and I thought, because. 60 00:03:02,160 --> 00:03:04,799 Speaker 1: This is after a cab rejected you, and so she 61 00:03:04,880 --> 00:03:08,359 Speaker 1: said the cab rejecting the cat asked you to get out, 62 00:03:08,480 --> 00:03:10,480 Speaker 1: and then so she said, I'll give you a lift. 63 00:03:10,520 --> 00:03:12,040 Speaker 2: Is it because I was dressed as John Lennon? 64 00:03:12,200 --> 00:03:15,040 Speaker 1: No, it's of cause you were had a few. 65 00:03:16,360 --> 00:03:17,920 Speaker 2: Any old who you know, what do we have to do? 66 00:03:18,080 --> 00:03:20,919 Speaker 2: And you know what else happened with that in the text, 67 00:03:21,040 --> 00:03:23,480 Speaker 2: because Natalie, the lady that gave me a lift home. 68 00:03:24,000 --> 00:03:25,760 Speaker 2: I sent her a text the next day saying, I'm 69 00:03:25,760 --> 00:03:27,880 Speaker 2: so sorry. I'm glad I didn't spil because I didn't 70 00:03:27,960 --> 00:03:31,040 Speaker 2: chuck in a car. Okay. I sent her a text 71 00:03:31,480 --> 00:03:34,280 Speaker 2: and I'd send it to the wrong Natalie. The night 72 00:03:35,040 --> 00:03:36,840 Speaker 2: she wrote, sent me a text back said, then I 73 00:03:36,960 --> 00:03:40,080 Speaker 2: rang the Natalie. I said, hey Natalie, it's Jonesy and 74 00:03:40,120 --> 00:03:43,040 Speaker 2: she said hey Jonesie. And then we're talking and I said, 75 00:03:43,080 --> 00:03:46,000 Speaker 2: I'm so sorry about what happened. Yeah, that's okay. 76 00:03:46,200 --> 00:03:48,200 Speaker 1: And then when played a long she went lost, she 77 00:03:48,280 --> 00:03:49,480 Speaker 1: was awkward, you made her or. 78 00:03:49,640 --> 00:03:51,080 Speaker 2: She went along with it, and then I ended up. 79 00:03:51,400 --> 00:03:52,760 Speaker 2: So I'm telling other people