1 00:00:01,160 --> 00:00:06,000 Speaker 1: Podcasting Now. Tonight is the return of Growing on the 2 00:00:06,000 --> 00:00:09,080 Speaker 1: ABC eight thirty PM, and we have, of course got 3 00:00:09,080 --> 00:00:11,600 Speaker 1: the host with us right now in Will Anderson. 4 00:00:11,600 --> 00:00:12,640 Speaker 2: Our next game. 5 00:00:14,160 --> 00:00:15,360 Speaker 1: Fine Comedians. 6 00:00:15,720 --> 00:00:18,479 Speaker 2: He's a pooty, good human too, the canad gang. 7 00:00:18,440 --> 00:00:22,360 Speaker 3: Who gives Uber drivers five stars even if the bunch 8 00:00:22,640 --> 00:00:26,520 Speaker 3: was rubbish. And the cand of guy who loves dogs cats. 9 00:00:29,760 --> 00:00:32,240 Speaker 1: He doesn't need two els in his name. He nailed 10 00:00:32,240 --> 00:00:32,840 Speaker 1: it with one. 11 00:00:33,200 --> 00:00:35,200 Speaker 2: Welcome to the show. There's a will. 12 00:00:35,520 --> 00:00:36,639 Speaker 1: It's one person. 13 00:00:39,520 --> 00:00:40,239 Speaker 3: Could you hear that? 14 00:00:40,360 --> 00:00:40,640 Speaker 1: Will? 15 00:00:41,479 --> 00:00:46,040 Speaker 3: No good to know the technical difficulties. We've definitely sorted 16 00:00:46,040 --> 00:00:49,600 Speaker 3: over zoom. But you were talking over your own opener. 17 00:00:49,960 --> 00:00:51,080 Speaker 3: But what were you saying? 18 00:00:51,840 --> 00:00:53,640 Speaker 2: Well, what I was going to say was it's nice 19 00:00:53,640 --> 00:00:55,000 Speaker 2: to be on the show. I didn't realize I had 20 00:00:55,040 --> 00:00:57,400 Speaker 2: an opener and I couldn't hear the opener over zoom, 21 00:00:57,440 --> 00:00:59,320 Speaker 2: So I was really just it was like I was 22 00:00:59,320 --> 00:01:01,639 Speaker 2: doing a stand up comedy gig and I was heckling myself. 23 00:01:01,920 --> 00:01:06,279 Speaker 2: I was stra it's not that often that anybody actually 24 00:01:06,280 --> 00:01:08,319 Speaker 2: says anything nice about me. I'm used to being in 25 00:01:08,319 --> 00:01:11,240 Speaker 2: a world where I get introduced to stage, people read 26 00:01:11,280 --> 00:01:13,320 Speaker 2: out some of my credits. I come out there's an 27 00:01:13,360 --> 00:01:16,480 Speaker 2: audience there, and it was happening for once, and I 28 00:01:16,520 --> 00:01:18,960 Speaker 2: am so unused to that happening that I was just 29 00:01:19,120 --> 00:01:21,920 Speaker 2: yammering over the top of it so nobody could hear. Anyway, 30 00:01:21,959 --> 00:01:26,800 Speaker 2: I've done stuff. Cruin's on tonight. You should watch it. Particularly. 31 00:01:26,920 --> 00:01:29,560 Speaker 2: You should watch it because if you want to see 32 00:01:29,600 --> 00:01:33,000 Speaker 2: a man have a mild panic attack, you can actually 33 00:01:33,000 --> 00:01:34,760 Speaker 2: see the moment because we do the show without an 34 00:01:34,760 --> 00:01:37,720 Speaker 2: audience for the first time in twelve years. And when 35 00:01:37,720 --> 00:01:42,040 Speaker 2: you're doing stand up comedy, like comedy like joke jokes 36 00:01:42,400 --> 00:01:46,160 Speaker 2: to no audience, you will be able to see the 37 00:01:46,319 --> 00:01:50,720 Speaker 2: moment in my eyes where I have that realization of like, 38 00:01:50,800 --> 00:01:52,760 Speaker 2: oh shit, this is harder than I thought it was 39 00:01:52,760 --> 00:01:55,920 Speaker 2: going to It's going to be like that moment from 40 00:01:55,920 --> 00:01:59,360 Speaker 2: The Simpsons where Ralph's heart broke live and they slowed 41 00:01:59,360 --> 00:02:02,560 Speaker 2: it down such a leash. You can actually pinpoint the 42 00:02:02,680 --> 00:02:08,600 Speaker 2: second when his heart RiPPs in half. You will see 43 00:02:08,600 --> 00:02:09,360 Speaker 2: that in my eyes. 44 00:02:09,480 --> 00:02:11,560 Speaker 3: Is there ever a moment, though, will where you get 45 00:02:11,639 --> 00:02:13,080 Speaker 3: the camera guy or something? 46 00:02:13,840 --> 00:02:16,799 Speaker 2: No, Because like all the kind of comedy bits that 47 00:02:17,120 --> 00:02:20,120 Speaker 2: like the monologue and all these things all have, you know, 48 00:02:20,240 --> 00:02:22,079 Speaker 2: bits of footage that we have to put into them, 49 00:02:22,080 --> 00:02:24,640 Speaker 2: which means that before we tape the show, of course 50 00:02:24,680 --> 00:02:27,480 Speaker 2: we have to rehearse those with the crew. So even 51 00:02:27,600 --> 00:02:29,919 Speaker 2: if they thought they were funny the first time through, 52 00:02:30,040 --> 00:02:32,200 Speaker 2: by the fourth time them seen them that day. 53 00:02:32,280 --> 00:02:34,000 Speaker 3: No, it's just silence. 54 00:02:34,240 --> 00:02:37,560 Speaker 1: Well, it's a whole new set. You guys have got 55 00:02:37,560 --> 00:02:40,320 Speaker 1: your social distancing going on in there. Has it been 56 00:02:40,520 --> 00:02:42,240 Speaker 1: tricky to get involved? I mean, like, I know you've 57 00:02:42,240 --> 00:02:43,880 Speaker 1: been bunker down and Byron and this has been the 58 00:02:43,919 --> 00:02:46,440 Speaker 1: first thing you've been able to actually do in ages, 59 00:02:46,480 --> 00:02:47,920 Speaker 1: so it must have been a bit bittersweet. 60 00:02:48,760 --> 00:02:51,560 Speaker 2: I am in the gru and bubble now, so basically 61 00:02:51,639 --> 00:02:53,800 Speaker 2: I have to protect myself because I'm, you know, the 62 00:02:53,880 --> 00:02:56,160 Speaker 2: key person on the show. So if I get sick 63 00:02:56,200 --> 00:02:58,680 Speaker 2: in any way or exposed in anyway, all these people 64 00:02:58,720 --> 00:03:01,080 Speaker 2: lose their jobs and they can't you go to work, 65 00:03:01,120 --> 00:03:04,320 Speaker 2: and so it's quite a je onerous responsibility, so I'm 66 00:03:04,320 --> 00:03:06,280 Speaker 2: trying to keep myself as safe as possible. We have 67 00:03:06,360 --> 00:03:08,839 Speaker 2: this brand new desk because our old desk wasn't big 68 00:03:08,919 --> 00:03:11,840 Speaker 2: enough to social distance on. So now I'm sitting in 69 00:03:11,880 --> 00:03:14,320 Speaker 2: the middle of this desk that looks like I'm hosting 70 00:03:14,440 --> 00:03:19,080 Speaker 2: Australia decides Election Night special. It's so big this desk. 71 00:03:19,240 --> 00:03:21,880 Speaker 2: I felt like, you know, I really did feel like 72 00:03:21,960 --> 00:03:23,639 Speaker 2: Anthony Green was going to pop and it. 73 00:03:23,639 --> 00:03:29,079 Speaker 1: Just he's radically I just reminded it grew in Return tonight, 74 00:03:29,200 --> 00:03:32,560 Speaker 1: ABC at eight thirty. Right up next, Actually, we'll fascinated 75 00:03:32,639 --> 00:03:33,960 Speaker 1: to talk to you a little bit more, just a 76 00:03:33,960 --> 00:03:35,080 Speaker 1: bit of a teaser and what's going to be on 77 00:03:35,120 --> 00:03:37,280 Speaker 1: the show tonight, because obviously it's been a hell of 78 00:03:37,320 --> 00:03:38,920 Speaker 1: a year in all sorts of ways, and I'm really 79 00:03:38,960 --> 00:03:42,800 Speaker 1: interested to know, in particular, how covid has impacted advertising 80 00:03:42,840 --> 00:03:46,600 Speaker 1: in more importantly, by the same token, how it's impacted us, 81 00:03:46,600 --> 00:03:47,760 Speaker 1: which I'm sure everyone's. 82 00:03:47,440 --> 00:03:48,280 Speaker 2: Going to be able to empathize with. 83 00:03:48,320 --> 00:03:50,120 Speaker 1: Hi, we're going to talk about it right up next 84 00:03:50,360 --> 00:03:54,800 Speaker 1: podcasting now. Will Anderson joins us right now on the 85 00:03:54,880 --> 00:03:57,480 Speaker 1: zoom link. Grew in Return tonight, ABC eight thirty. Will 86 00:03:57,600 --> 00:04:01,880 Speaker 1: not sure if you've seen the new Netflix doco Sensation 87 00:04:02,000 --> 00:04:04,840 Speaker 1: The Social Dilemma, but I know I watched that recently 88 00:04:04,880 --> 00:04:06,800 Speaker 1: and was thinking a lot about Growin because obviously a 89 00:04:06,840 --> 00:04:09,400 Speaker 1: lot of it is about how big tech companies are 90 00:04:09,840 --> 00:04:13,080 Speaker 1: selling out or data about us to other people so 91 00:04:13,200 --> 00:04:15,640 Speaker 1: they can manipulate the messages and things that they're sending 92 00:04:15,680 --> 00:04:18,719 Speaker 1: to us, and I feel like under the COVID microscope, 93 00:04:18,960 --> 00:04:21,000 Speaker 1: we're all a lot more vulnerable to the things that 94 00:04:21,000 --> 00:04:22,919 Speaker 1: we're receiving on our screens. And I saw that you 95 00:04:22,920 --> 00:04:25,839 Speaker 1: guys are going to be talking TikTok tonight. I don't 96 00:04:25,880 --> 00:04:27,880 Speaker 1: want to spoil a lot of what happens tonight, but 97 00:04:28,320 --> 00:04:29,880 Speaker 1: can you give me some of the ins and outs 98 00:04:29,880 --> 00:04:31,280 Speaker 1: of what you guys discussed around that? 99 00:04:31,960 --> 00:04:34,960 Speaker 2: Okay, So the Social Dilemma. That is a great documentary 100 00:04:35,040 --> 00:04:36,800 Speaker 2: for people to watch. But this is the theme we've 101 00:04:36,800 --> 00:04:39,040 Speaker 2: had on, grewon for a few years now, and it's 102 00:04:39,080 --> 00:04:41,360 Speaker 2: actually something I was also talking about in my stand up. 103 00:04:41,400 --> 00:04:43,680 Speaker 2: So you can imagine how spewing I am that The 104 00:04:43,720 --> 00:04:45,919 Speaker 2: Social Dilemma didn't come out a couple of years ago. 105 00:04:45,960 --> 00:04:47,960 Speaker 2: So I should have called the show the Social Dilemma. 106 00:04:48,279 --> 00:04:51,679 Speaker 2: It would have been perfect for me, right on topic. 107 00:04:52,080 --> 00:04:55,800 Speaker 2: Absolutely devastated about the whole thing. But secondly, it's all 108 00:04:55,839 --> 00:04:58,359 Speaker 2: everything you've seen in that documentary is about advertising. The 109 00:04:58,400 --> 00:05:01,000 Speaker 2: reason they have these algorithms is because they need to 110 00:05:01,000 --> 00:05:03,440 Speaker 2: sell adds to people. The reason they're collecting the data 111 00:05:03,600 --> 00:05:05,800 Speaker 2: isn't just for the sake of collecting data so that 112 00:05:05,800 --> 00:05:09,760 Speaker 2: the data can be used to specifically target advertising to people. 113 00:05:09,760 --> 00:05:12,600 Speaker 2: And of course any social media that you use for free. 114 00:05:12,600 --> 00:05:15,240 Speaker 2: It's one of the things that they say in the documentary. 115 00:05:15,279 --> 00:05:17,360 Speaker 2: It's the axiom is if you're not paying for it, 116 00:05:17,400 --> 00:05:20,920 Speaker 2: then you are the product. So these social media companies 117 00:05:20,960 --> 00:05:25,000 Speaker 2: are invented so that you can work on behalf of them. 118 00:05:25,040 --> 00:05:26,880 Speaker 2: We saw a great example of it which we touched 119 00:05:26,920 --> 00:05:29,560 Speaker 2: in the show in the TikTok world, which is that 120 00:05:29,680 --> 00:05:33,920 Speaker 2: Nathan Appadaka, who is the ocean spray cranberry juice guy 121 00:05:34,680 --> 00:05:38,159 Speaker 2: that did that TikTok you know, drinking his cranberry juice 122 00:05:38,240 --> 00:05:40,600 Speaker 2: ends up with it like a free ute out of it. 123 00:05:40,880 --> 00:05:43,480 Speaker 2: Mick Fleetwood, you know he does a video Dreams is 124 00:05:43,560 --> 00:05:45,880 Speaker 2: number one on the Spotify charts now that. 125 00:05:46,360 --> 00:05:48,120 Speaker 1: Last night, and I dredged him with a bucket of 126 00:05:48,120 --> 00:05:49,000 Speaker 1: water halfway through. 127 00:05:50,080 --> 00:05:51,720 Speaker 2: I did say that that was. 128 00:05:51,720 --> 00:05:54,920 Speaker 3: Just to bring I'm glad you found it funny. Hey, 129 00:05:54,960 --> 00:05:57,680 Speaker 3: will personal one for you? What sort of stuff pops 130 00:05:57,760 --> 00:06:00,920 Speaker 3: up in your feed? Like, if you're feed is tailored 131 00:06:00,920 --> 00:06:03,039 Speaker 3: to you with marketing and you are the product, what 132 00:06:03,120 --> 00:06:03,720 Speaker 3: pops up. 133 00:06:03,640 --> 00:06:06,960 Speaker 2: For you I'll tell you very specifically, eight months of 134 00:06:06,960 --> 00:06:09,280 Speaker 2: the year. So you've got a bad back, does your 135 00:06:09,320 --> 00:06:14,039 Speaker 2: back terrible? I reckon, you're leaning over a bit too much. 136 00:06:14,200 --> 00:06:16,960 Speaker 2: That's eight months of the year. And then four months 137 00:06:16,960 --> 00:06:20,000 Speaker 2: of the year, whatever I was looking up for grew 138 00:06:20,080 --> 00:06:23,719 Speaker 2: in the previous week. So if we talk about a topic, 139 00:06:23,800 --> 00:06:26,000 Speaker 2: so this week I'll get all TikTok ads, whereas next 140 00:06:26,040 --> 00:06:27,760 Speaker 2: week I'll get a whole bunch of ads for soap. 141 00:06:28,040 --> 00:06:31,160 Speaker 2: It goes my algorithm just they just like, for eight 142 00:06:31,200 --> 00:06:32,680 Speaker 2: months of the year, he has a really bad back, 143 00:06:32,760 --> 00:06:34,880 Speaker 2: and then four months he is on a wild. 144 00:06:34,600 --> 00:06:38,160 Speaker 1: And crazy researcher. Well, speaking of I mean, if people 145 00:06:38,160 --> 00:06:40,880 Speaker 1: aren't across these like the one that that shocked me 146 00:06:40,920 --> 00:06:42,680 Speaker 1: on the show. And I hate to talk about a 147 00:06:42,680 --> 00:06:45,720 Speaker 1: Netflix show while we're talking about your ABC show, Will 148 00:06:45,800 --> 00:06:51,040 Speaker 1: but Kyrie Irving, very famous NBA basketballer, purely through the 149 00:06:51,080 --> 00:06:54,839 Speaker 1: algorithm that YouTube were approaching him with, became a flat 150 00:06:54,839 --> 00:06:57,600 Speaker 1: Earth believer. And then they interviewed him afterwards and he 151 00:06:57,720 --> 00:06:59,640 Speaker 1: was like, I just newly needed somebody to sit me 152 00:06:59,680 --> 00:07:02,200 Speaker 1: down and give me the information that sat outside the 153 00:07:02,279 --> 00:07:04,880 Speaker 1: universe that I'd been tipped into. And that's that's the 154 00:07:04,920 --> 00:07:06,839 Speaker 1: only the that's the only information I was getting, so 155 00:07:06,839 --> 00:07:09,120 Speaker 1: I had nothing to compare it with, which I just 156 00:07:09,120 --> 00:07:11,880 Speaker 1: think is fascinating. And he was able to sit down 157 00:07:11,920 --> 00:07:14,400 Speaker 1: and just go, I'm so sorry to everyone that I 158 00:07:14,480 --> 00:07:16,600 Speaker 1: was so adamant about this, and it really makes you 159 00:07:16,680 --> 00:07:19,160 Speaker 1: question a lot of the stuff that you believe with 160 00:07:19,240 --> 00:07:21,920 Speaker 1: a lot of conviction because they're just telling you to 161 00:07:21,920 --> 00:07:23,440 Speaker 1: believe it well, of. 162 00:07:23,320 --> 00:07:26,600 Speaker 2: Course, because you know, there are more psychologists working and 163 00:07:26,600 --> 00:07:29,400 Speaker 2: advertising in Australia than the rest of society. You know, 164 00:07:29,520 --> 00:07:33,320 Speaker 2: these are companies that have a financial imperative and manipulating 165 00:07:33,360 --> 00:07:35,200 Speaker 2: the way that you think about things, that the way 166 00:07:35,240 --> 00:07:38,560 Speaker 2: you control your actions. And we're all hypocrites because of 167 00:07:38,560 --> 00:07:42,040 Speaker 2: course my shows get sold on that same algorithm. Comedy 168 00:07:42,040 --> 00:07:45,320 Speaker 2: show on sale. It's not just the tram lonely driving 169 00:07:45,360 --> 00:07:46,240 Speaker 2: around Melbourne. 170 00:07:46,280 --> 00:07:50,800 Speaker 1: It's you know, and inst hoping that the algorithm's working 171 00:07:50,800 --> 00:07:52,160 Speaker 1: for you there in a lot of ways, you want 172 00:07:52,200 --> 00:07:55,640 Speaker 1: people that buy somebody shows to see or Will Anderson advertisement. 173 00:07:55,520 --> 00:07:57,800 Speaker 2: Somebody's watching in Adam Hills, you know, stand up. 174 00:08:00,720 --> 00:08:04,360 Speaker 1: Refused together all right, Mabe, Well look we're looking forward 175 00:08:04,360 --> 00:08:08,200 Speaker 1: to the grin coming back tonight. Your hair's looking Schmick. 176 00:08:08,280 --> 00:08:10,000 Speaker 1: You know, last time we spoke to you, you looked 177 00:08:10,000 --> 00:08:13,720 Speaker 1: a little bit like a hermit that had been lost 178 00:08:13,760 --> 00:08:16,160 Speaker 1: in the wilderness for a long time. Now you're fresh, 179 00:08:16,160 --> 00:08:19,000 Speaker 1: you're Schmick, You're TV ready, and the Gruin's back at 180 00:08:19,000 --> 00:08:22,040 Speaker 1: eight thirty tonight on the ABC. So thanks for joining us, mate. 181 00:08:22,040 --> 00:08:24,400 Speaker 2: Yeah, I appreciate that. That was almost a compliment. 182 00:08:26,440 --> 00:08:29,200 Speaker 1: You see what you're hearing. Find us on Instagram and 183 00:08:29,240 --> 00:08:30,960 Speaker 1: Facebook search Woman Woody