1 00:00:00,880 --> 00:00:09,080 Speaker 1: It's another jubil on the twenties. I'm five. Hello. Hi 2 00:00:09,200 --> 00:00:12,239 Speaker 1: is this Amber? Yes? Amber? How are you? My name 3 00:00:12,240 --> 00:00:15,200 Speaker 1: is Scott Brand. I'm the owner at Tanning Salon. How 4 00:00:15,200 --> 00:00:18,600 Speaker 1: are you doing? Oh? Great? How are you good? Kelly 5 00:00:18,680 --> 00:00:20,680 Speaker 1: told me he turned in an application to work with us, 6 00:00:20,760 --> 00:00:22,479 Speaker 1: and I was hoping that maybe I could get you 7 00:00:22,480 --> 00:00:24,160 Speaker 1: for a few minutes to do a quick phone interview 8 00:00:24,160 --> 00:00:29,720 Speaker 1: with me. Oh definitely, yes. Why don't we just start then? Great, Okay, 9 00:00:30,000 --> 00:00:36,400 Speaker 1: finish this sentence for me. Peter went to the moon because, um, 10 00:00:36,520 --> 00:00:39,760 Speaker 1: Peter went to the moon because yes, just finished that sentence. 11 00:00:40,560 --> 00:00:44,680 Speaker 1: I'm sorry, I've never asked that before. Um, I'm just 12 00:00:44,680 --> 00:00:46,680 Speaker 1: gonna tell you up front my interview process is a 13 00:00:46,720 --> 00:00:51,120 Speaker 1: little bit unconventional. Oh okay, Um, Peter went to the 14 00:00:51,159 --> 00:00:56,200 Speaker 1: moon because he was an astronaut. Hmm, that's not really 15 00:00:56,200 --> 00:01:00,480 Speaker 1: the answer I was looking for there. Um, maybe I 16 00:01:00,480 --> 00:01:05,160 Speaker 1: didn't understand it then, because just a really open ended question. Yeah, 17 00:01:05,160 --> 00:01:07,119 Speaker 1: that's correct. You just didn't answer it very well. Why 18 00:01:07,120 --> 00:01:10,360 Speaker 1: don't we move on though? If a penguin walked through 19 00:01:10,360 --> 00:01:12,560 Speaker 1: the door to the Tanning Salon right now wearing a 20 00:01:12,560 --> 00:01:15,000 Speaker 1: sombrero and wanted to tan for ten minutes? Would you 21 00:01:15,040 --> 00:01:20,039 Speaker 1: let him a penguin? Penguin wearing a sombrero? And is 22 00:01:20,080 --> 00:01:25,920 Speaker 1: this it's like a hypothetical, like a story thing, like 23 00:01:26,200 --> 00:01:30,720 Speaker 1: you know what it could happen? You never know, has it? No? No, 24 00:01:30,760 --> 00:01:32,800 Speaker 1: a penguin has never come through our doors wearing a sombrero. 25 00:01:32,920 --> 00:01:40,160 Speaker 1: But if they were, I'd want my staff to be prepared. O. Hey, no, 26 00:01:40,720 --> 00:01:45,039 Speaker 1: I would say, no, he couldn't tan. That's interest, that's 27 00:01:45,040 --> 00:01:48,760 Speaker 1: not what I want to hear. I was just thinking 28 00:01:48,800 --> 00:01:50,880 Speaker 1: that I would have no animals at all in there. 29 00:01:51,520 --> 00:01:53,960 Speaker 1: Is that wrong? That is wrong? If a penguin er 30 00:01:53,960 --> 00:01:55,720 Speaker 1: to come through wearing a sombrero, you'd let him tan 31 00:01:55,800 --> 00:01:58,440 Speaker 1: for five minutes? No longer because I have a very 32 00:01:58,440 --> 00:02:02,280 Speaker 1: sensitive scan. I'm sorry, I just don't. That's why don't 33 00:02:02,280 --> 00:02:05,920 Speaker 1: we move on to more serious question? Then? Okay? How 34 00:02:05,920 --> 00:02:09,160 Speaker 1: many cows are there in Canada? How many cows are 35 00:02:09,160 --> 00:02:13,280 Speaker 1: there in Kansas? Canada? Everybody knows how many cows are 36 00:02:13,280 --> 00:02:14,640 Speaker 1: in Kansas, But I want to know if you know 37 00:02:14,680 --> 00:02:18,359 Speaker 1: how many cows are in Canada? I don't. I have 38 00:02:18,440 --> 00:02:21,400 Speaker 1: no idea. Do you need to? Don't you want to 39 00:02:21,440 --> 00:02:25,720 Speaker 1: know like my job history and stuff or I'd rather 40 00:02:25,760 --> 00:02:27,640 Speaker 1: know how many cows are in Canada because I woke 41 00:02:27,720 --> 00:02:30,560 Speaker 1: up this morning. I don't, I do not know. I 42 00:02:30,600 --> 00:02:34,520 Speaker 1: don't know that at all thousands. That's if you're in 43 00:02:34,520 --> 00:02:36,000 Speaker 1: front of a computer, you could google it for me. 44 00:02:36,000 --> 00:02:39,160 Speaker 1: I'd appreciate that, because God, okay, I woke up this 45 00:02:39,200 --> 00:02:40,679 Speaker 1: morning with that question on my mind and I just 46 00:02:40,720 --> 00:02:43,080 Speaker 1: want to know. Why didn't you google it? I just 47 00:02:43,080 --> 00:02:46,440 Speaker 1: haven't had time. I'm sorry, I just don't. This is odd. 48 00:02:47,160 --> 00:02:49,800 Speaker 1: I mean, is there what is that application for this? So? 49 00:02:49,919 --> 00:02:52,519 Speaker 1: Will you google how many cows are in Canada? I 50 00:02:52,560 --> 00:02:55,960 Speaker 1: am right now? They are currently about four million cattle 51 00:02:56,000 --> 00:03:00,280 Speaker 1: in Canada. Wonderful, thank you, you know what, that's all awesome. 52 00:03:00,320 --> 00:03:04,720 Speaker 1: I'm really happy that you got that answer for me. Interesting, Okay, 53 00:03:04,960 --> 00:03:07,600 Speaker 1: don't just blow your mind about that many cows and cannabis. 54 00:03:07,639 --> 00:03:10,560 Speaker 1: Oh that's a lot. That is a lot more than 55 00:03:10,600 --> 00:03:14,000 Speaker 1: I thought. Yeah. I wonder if they drink moulson, you know, 56 00:03:14,040 --> 00:03:18,160 Speaker 1: and watch hockey. They don't think so they're maybe they 57 00:03:18,200 --> 00:03:22,160 Speaker 1: don't give milk. They give molson and through their teets. No, 58 00:03:22,320 --> 00:03:24,680 Speaker 1: I don't think so. It talks about milk and an 59 00:03:24,840 --> 00:03:29,600 Speaker 1: article well, good news. The interview process is over. Oh God, 60 00:03:29,680 --> 00:03:33,000 Speaker 1: thank god. I'm just gonna go ahead and tell you 61 00:03:33,000 --> 00:03:37,760 Speaker 1: now you didn't get the job. Sorry what yeah, you did? 62 00:03:38,000 --> 00:03:40,120 Speaker 1: I can't hire you with the answers to those questions 63 00:03:40,120 --> 00:03:43,400 Speaker 1: that you gave me, I apologize. What good luck anybody? 64 00:03:43,440 --> 00:03:46,720 Speaker 1: I gave you all the answers. What did I do wrong? 65 00:03:47,040 --> 00:03:50,200 Speaker 1: What could have possibly have done wrong? I found your 66 00:03:50,240 --> 00:03:55,360 Speaker 1: cow answer. I was unimpressed by it. One thing, Well, 67 00:03:55,480 --> 00:03:57,640 Speaker 1: you didn't answer how long you would let a penguin 68 00:03:57,680 --> 00:03:59,560 Speaker 1: with a sombarro tan? And that kind of rubbed me 69 00:03:59,600 --> 00:04:01,240 Speaker 1: the wrong way from the get go. Well, I didn't 70 00:04:01,240 --> 00:04:03,920 Speaker 1: answer the question. I said, an animal shouldn't be channing, 71 00:04:04,000 --> 00:04:06,720 Speaker 1: which is really the right answer if you think about it. 72 00:04:07,720 --> 00:04:11,120 Speaker 1: What is the point, my amber? This is actually jewel 73 00:04:11,280 --> 00:04:12,840 Speaker 1: from Brook and Jewel in the morning. I'm moving on 74 00:04:12,920 --> 00:04:14,840 Speaker 1: to two point five doing a phone tap on you. 75 00:04:17,240 --> 00:04:23,440 Speaker 1: Oh my gosh, your friend Rebecca set you up. She 76 00:04:23,480 --> 00:04:25,000 Speaker 1: said that you've been looking for a job when I'd 77 00:04:25,040 --> 00:04:28,920 Speaker 1: probably answer any question I asked him. I can't believe 78 00:04:29,040 --> 00:04:34,919 Speaker 1: those questions you ask. Oh God, wake up every morning 79 00:04:34,920 --> 00:04:39,839 Speaker 1: with Jewil phone taps weekday mornings on the twenties five. 80 00:04:47,240 --> 00:04:52,120 Speaker 1: I've been trying to do with ride. I'm a lonely lie. 81 00:04:53,200 --> 00:04:57,680 Speaker 1: I've been seeing here and I've been sleeping in my 82 00:04:57,760 --> 00:05:01,000 Speaker 1: big sleep, in my bed,