1 00:00:01,440 --> 00:00:11,039 Speaker 1: Can'st playground. Well. Hello Buzznight, the host of the Taken 2 00:00:11,080 --> 00:00:16,360 Speaker 1: a Walk podcast series, and welcome to this special National 3 00:00:16,560 --> 00:00:22,560 Speaker 1: Association of Broadcasters NAB twenty twenty two edition. Now for 4 00:00:22,600 --> 00:00:32,839 Speaker 1: those of you in our vast international audience, Hello, Germany, Australia, Canada, Finland, France, Slovenia, Aruba, 5 00:00:33,159 --> 00:00:41,800 Speaker 1: Hong Kong, the Ukraine, Yes, the Ukraine, Croatia, Poland, Saint 6 00:00:41,880 --> 00:00:49,559 Speaker 1: Lucia or Struthers, Ohio. NAB stands for National Association of 7 00:00:49,560 --> 00:00:55,320 Speaker 1: Broadcasters And I'm heading to the big convention NAB twenty 8 00:00:55,360 --> 00:01:02,440 Speaker 1: twenty two in Las Vegas. I'm here taking a walk alright, 9 00:01:02,520 --> 00:01:04,520 Speaker 1: right now, I'm not taking a walk, to be honest 10 00:01:04,520 --> 00:01:06,760 Speaker 1: with you. It's so early in the morning and early 11 00:01:07,000 --> 00:01:13,000 Speaker 1: alternate reality Saturday morning at Logan Airport. Everything seems to 12 00:01:13,000 --> 00:01:18,400 Speaker 1: be operating in the emotion. Watching a guy walk by, 13 00:01:18,480 --> 00:01:23,680 Speaker 1: literally it looks like he's moonwalking. It's so early. Uh. 14 00:01:23,880 --> 00:01:26,640 Speaker 1: You see odd things in an early hour. Most notably 15 00:01:26,680 --> 00:01:30,679 Speaker 1: what I saw, kid you not, was a father and 16 00:01:30,840 --> 00:01:35,680 Speaker 1: son arguing in the restroom over the fact that the 17 00:01:35,720 --> 00:01:40,959 Speaker 1: sun was brushing his teeth. I kid you not, and 18 00:01:41,040 --> 00:01:45,880 Speaker 1: it looked like the father, Uh, didn't even have the 19 00:01:45,920 --> 00:01:50,560 Speaker 1: word dentist in his vocabulary. Anyway, I'm thinking about the 20 00:01:50,560 --> 00:01:53,880 Speaker 1: best way for me to uh document the Taking a 21 00:01:53,880 --> 00:01:57,320 Speaker 1: Walk series for this NAB trip, and I promise later 22 00:01:57,400 --> 00:02:03,920 Speaker 1: on in the series I will be walking, and the 23 00:02:03,960 --> 00:02:06,720 Speaker 1: best way to document this is a collection of various 24 00:02:06,760 --> 00:02:12,480 Speaker 1: taking a walk interesting guests. So the decision came to 25 00:02:12,480 --> 00:02:19,560 Speaker 1: me after a writer's meeting last night intense, which really 26 00:02:19,600 --> 00:02:23,160 Speaker 1: means that I had a few martinis with my wife. 27 00:02:23,600 --> 00:02:27,440 Speaker 1: She had a listen to me neurotically throwing ideas against 28 00:02:27,440 --> 00:02:29,800 Speaker 1: the wall on what to do had taken a walk 29 00:02:29,800 --> 00:02:35,440 Speaker 1: with this trip. I agreed with myself that unless Lady Gaga, 30 00:02:36,520 --> 00:02:41,240 Speaker 1: Mary Manilo or Charro would be available when I hit 31 00:02:41,320 --> 00:02:44,280 Speaker 1: Vegas for taking a Walk, that this needs to be 32 00:02:44,360 --> 00:02:50,280 Speaker 1: a collection of people. So now you know this is 33 00:02:50,280 --> 00:02:53,680 Speaker 1: what we're up to, and from now on you're gonna 34 00:02:53,720 --> 00:02:59,480 Speaker 1: call this the Taken a Walk NAB twenty twenty two collection. 35 00:03:00,080 --> 00:03:02,639 Speaker 1: You never know what we're going to run into taking 36 00:03:02,639 --> 00:03:07,359 Speaker 1: a walk with you must not. Well, I knew I 37 00:03:07,400 --> 00:03:11,239 Speaker 1: would be walking around Caesar's Palace and bump into somebody 38 00:03:11,280 --> 00:03:15,359 Speaker 1: that I knew here in Las Vegas. Hello, Ben Arnold, 39 00:03:15,440 --> 00:03:20,280 Speaker 1: from the NPD group from Washington, d C. Well, it's 40 00:03:20,280 --> 00:03:23,240 Speaker 1: a pleasure to see you again. It's been too long. No, 41 00:03:23,320 --> 00:03:25,760 Speaker 1: it's notice to you in person. Not to see anybody 42 00:03:25,760 --> 00:03:30,000 Speaker 1: in personal right certainly is Yeah. So Vegas is animated 43 00:03:30,040 --> 00:03:33,720 Speaker 1: as always and is a trip, but we're visiting for 44 00:03:34,320 --> 00:03:37,560 Speaker 1: NAD twenty twenty two. It's so nice to see you. 45 00:03:37,680 --> 00:03:43,560 Speaker 1: So in your role with NPT, you examine consumer behavior 46 00:03:43,600 --> 00:03:48,600 Speaker 1: really on behalf of many clients in the consumer technology business. 47 00:03:48,920 --> 00:03:51,840 Speaker 1: So what's going on over the last couple of years 48 00:03:51,840 --> 00:03:56,000 Speaker 1: in terms of the way the consumer behavior has reacted 49 00:03:56,080 --> 00:03:59,040 Speaker 1: to these last few years. Well, consumer behavior I think 50 00:03:59,040 --> 00:04:02,840 Speaker 1: has been sort of disrupted and our routines have been 51 00:04:03,120 --> 00:04:06,760 Speaker 1: thrown out of whack, which impacts you know, what people buy, 52 00:04:06,880 --> 00:04:11,840 Speaker 1: what people consume. As the pandemic started, it was really 53 00:04:12,080 --> 00:04:14,000 Speaker 1: hard to see what was going to go for what 54 00:04:14,080 --> 00:04:16,680 Speaker 1: was gonna happen, Like it was hard to forecast some 55 00:04:16,720 --> 00:04:21,039 Speaker 1: of these changes in consumer behaviors. One of the interesting 56 00:04:21,080 --> 00:04:24,120 Speaker 1: things that happened is people really began to rely on 57 00:04:24,120 --> 00:04:27,240 Speaker 1: their technology much more than they than they had been. 58 00:04:27,880 --> 00:04:32,080 Speaker 1: And we saw, i think the value on the technology 59 00:04:32,120 --> 00:04:35,279 Speaker 1: that we use every day really go up. We saw 60 00:04:35,360 --> 00:04:38,880 Speaker 1: sales go up. Sales in twenty twenty were up seventeen 61 00:04:38,920 --> 00:04:42,400 Speaker 1: percent over the year prior. We never see that consumer 62 00:04:42,400 --> 00:04:45,800 Speaker 1: electronics is a pretty sure business, right it's maybe up 63 00:04:45,839 --> 00:04:48,839 Speaker 1: two percent, maybe down two percent one year. Seventeen percent 64 00:04:48,920 --> 00:04:52,240 Speaker 1: is a big deal. Sold like eight million more TVs 65 00:04:52,279 --> 00:04:54,240 Speaker 1: that we normally do in a year. That's that's a 66 00:04:54,360 --> 00:04:57,599 Speaker 1: that's a big deal. So we've seen people rely on 67 00:04:57,600 --> 00:05:03,120 Speaker 1: their technology for productivity, for working and virtual work. I 68 00:05:03,160 --> 00:05:06,600 Speaker 1: need a laptop at home, but also for their entertainment, 69 00:05:06,680 --> 00:05:09,400 Speaker 1: their leisure time. I can't go out on a trip, 70 00:05:09,960 --> 00:05:13,680 Speaker 1: there's no kid sports. Let me we would add another 71 00:05:13,880 --> 00:05:17,880 Speaker 1: streaming subscription to my household and hunker down and watch. 72 00:05:18,640 --> 00:05:22,120 Speaker 1: And that had a big impact on technology sales. And 73 00:05:22,200 --> 00:05:26,320 Speaker 1: as we go forward, continuing to see really high demand 74 00:05:26,320 --> 00:05:29,880 Speaker 1: on technology. So I think that something has happened where 75 00:05:29,960 --> 00:05:32,960 Speaker 1: this value that people play some technology is much higher. 76 00:05:34,120 --> 00:05:37,480 Speaker 1: Continue to see sales grow and so to see people 77 00:05:37,640 --> 00:05:42,320 Speaker 1: engage with their technology products, listening to audio, streaming, video, 78 00:05:43,560 --> 00:05:46,560 Speaker 1: taking pictures, all those things have really just kicked in 79 00:05:46,680 --> 00:05:51,200 Speaker 1: I gear. So what does it mean exverse to the 80 00:05:51,240 --> 00:05:55,320 Speaker 1: television side of media, And then let's get the implications 81 00:05:55,360 --> 00:05:58,880 Speaker 1: of what all this means through folks and radio, so 82 00:05:58,960 --> 00:06:00,839 Speaker 1: on the television side of me, and it just means 83 00:06:00,839 --> 00:06:04,599 Speaker 1: that that's where people are spending their time right technology 84 00:06:04,800 --> 00:06:08,720 Speaker 1: in some ways, it's becoming an engagement business. And that's 85 00:06:09,040 --> 00:06:11,080 Speaker 1: you know, no truer than what we see in the 86 00:06:11,080 --> 00:06:14,360 Speaker 1: streaming numbers. People spend a lot of time streaming Netflix. 87 00:06:14,480 --> 00:06:18,640 Speaker 1: Our streamings is up, and that's good business. That's good 88 00:06:18,640 --> 00:06:21,400 Speaker 1: news for TV manufacturers. I mean, they can sell more TVs. 89 00:06:21,560 --> 00:06:25,720 Speaker 1: There's more demand. Now think about audio, it's a little 90 00:06:25,720 --> 00:06:29,080 Speaker 1: bit of a different story. Audio is very linked to 91 00:06:29,120 --> 00:06:31,800 Speaker 1: our routines. Wake up in the morning and go to 92 00:06:31,880 --> 00:06:36,120 Speaker 1: my kitchen, tell Alexa, put on NPR my day starts. 93 00:06:36,800 --> 00:06:39,360 Speaker 1: Or if my day doesn't start like that anymore, what 94 00:06:39,400 --> 00:06:41,799 Speaker 1: if I'm getting out later because I don't have to 95 00:06:41,839 --> 00:06:43,599 Speaker 1: be in the office at seven o'clock. I just have 96 00:06:43,720 --> 00:06:47,720 Speaker 1: to log onto my computer at a certain time. So 97 00:06:48,760 --> 00:06:52,400 Speaker 1: it's been a little bit of a mixed bag for audio. Certainly, 98 00:06:52,440 --> 00:06:56,000 Speaker 1: people are consuming more media and that's good for I 99 00:06:56,040 --> 00:06:59,719 Speaker 1: think all media types, but things that are connected to 100 00:06:59,800 --> 00:07:03,279 Speaker 1: reach teens were thrown out away. I think the good 101 00:07:03,279 --> 00:07:08,680 Speaker 1: part is getting back into some sense of normalcy. Seasonal 102 00:07:08,720 --> 00:07:11,520 Speaker 1: patterns are returning. People are going back to work, and 103 00:07:11,560 --> 00:07:14,360 Speaker 1: so some of those routines are coming back, and I 104 00:07:14,400 --> 00:07:19,160 Speaker 1: believe that's a good story for broadcasters. But even through 105 00:07:19,200 --> 00:07:20,960 Speaker 1: all of that, even through you know, if you want 106 00:07:20,960 --> 00:07:23,120 Speaker 1: to call this disrupture and some of this churn, I 107 00:07:23,120 --> 00:07:28,480 Speaker 1: think we've discovered, you know, new behaviors, new things that 108 00:07:28,520 --> 00:07:31,080 Speaker 1: we engage with, and I think that ultimately has been 109 00:07:31,120 --> 00:07:34,800 Speaker 1: good for content business. I think it's been good for Audia. 110 00:07:36,600 --> 00:07:40,040 Speaker 1: And back to the TV side of things. First of all, 111 00:07:40,400 --> 00:07:47,320 Speaker 1: reaction to Netflix losing bare amount and subscribers, and then 112 00:07:47,600 --> 00:07:52,440 Speaker 1: I can't stop our little walking discussion with also asking 113 00:07:52,480 --> 00:07:57,040 Speaker 1: you for a reaction on CNN Plus. Well, you know, 114 00:07:57,640 --> 00:08:00,120 Speaker 1: the CNN news is interesting. I used to work in 115 00:08:00,160 --> 00:08:03,440 Speaker 1: the news business, and one thing I always thought is 116 00:08:04,360 --> 00:08:08,120 Speaker 1: the national news, like, who has the market cornered on that? 117 00:08:08,160 --> 00:08:10,560 Speaker 1: It's really hard, It's really hard to stand up a 118 00:08:10,600 --> 00:08:14,840 Speaker 1: new streaming service when we get that news from other places. 119 00:08:15,360 --> 00:08:19,040 Speaker 1: And I guess there ultimately wasn't a whole lot unique 120 00:08:19,080 --> 00:08:22,160 Speaker 1: about CNN Plus. I think about we get a lot 121 00:08:22,160 --> 00:08:25,960 Speaker 1: of our news through streaming, through vulbile devices, through apps anyway, 122 00:08:26,080 --> 00:08:29,920 Speaker 1: So in the end, what was all that different about it. 123 00:08:30,200 --> 00:08:33,000 Speaker 1: I think that's that's what kind of led to it 124 00:08:33,040 --> 00:08:38,560 Speaker 1: falling apart of Netflix. I mean, they've been really just 125 00:08:38,679 --> 00:08:41,400 Speaker 1: killing it for so long, and you felt like some 126 00:08:41,440 --> 00:08:44,319 Speaker 1: of that was going to come back to earth. Related 127 00:08:44,360 --> 00:08:46,319 Speaker 1: to some of the things I said earlier about streaming, 128 00:08:46,559 --> 00:08:49,320 Speaker 1: we may have hit peak streaming in the middle of 129 00:08:49,400 --> 00:08:52,920 Speaker 1: twenty twenty. With respect to video streaming, things have kind 130 00:08:52,920 --> 00:08:58,160 Speaker 1: of normalized since then. Family vacation is a brig headwind 131 00:08:58,559 --> 00:09:02,680 Speaker 1: to increase Netflix, so I think asked me to spend 132 00:09:02,679 --> 00:09:08,400 Speaker 1: more time doing other things that challenges those Netflix streaming minutes, 133 00:09:08,600 --> 00:09:11,360 Speaker 1: and I think that's that's one of the things that's uh, 134 00:09:11,520 --> 00:09:15,400 Speaker 1: you know that's going on with there now. It's nice 135 00:09:15,400 --> 00:09:18,120 Speaker 1: to bump into you at Caesar's Palace. I think I 136 00:09:18,160 --> 00:09:20,040 Speaker 1: got to run up to Tommy Bahamas and he had 137 00:09:20,200 --> 00:09:24,800 Speaker 1: some duds. Who are the rest of the Vegas I was, yes, yes, 138 00:09:24,880 --> 00:09:27,840 Speaker 1: I was thinking, I'm coming here to watch Sugar, Ray 139 00:09:27,920 --> 00:09:30,439 Speaker 1: Leonard and Marvin Hagler. That's what I always think when 140 00:09:30,440 --> 00:09:32,679 Speaker 1: I come to season. So we're all kind of we're 141 00:09:32,679 --> 00:09:34,240 Speaker 1: both kind of on the same in the same way. 142 00:09:34,240 --> 00:09:41,400 Speaker 1: You think, A right great to see you, Ben all right, boys, Well, 143 00:09:41,600 --> 00:09:44,000 Speaker 1: so happy to be taking a walk near the Renaissance 144 00:09:44,040 --> 00:09:47,280 Speaker 1: Hotel here and low and behold, who do I bump into? 145 00:09:47,480 --> 00:09:51,760 Speaker 1: Is my dear friend Brian BINNIEC from Connected Travel. Brian, 146 00:09:52,280 --> 00:09:56,160 Speaker 1: what are you doing here in Vegas at the NAP Well, 147 00:09:56,360 --> 00:10:02,120 Speaker 1: we drove in from Las Vegas, my friend from Radio 148 00:10:02,200 --> 00:10:05,440 Speaker 1: Line and I and John Ellis. We got in a 149 00:10:05,520 --> 00:10:10,560 Speaker 1: poll Star and we drove nine hours on a three 150 00:10:10,600 --> 00:10:15,319 Speaker 1: hour drive to come to the NAB show to showcase 151 00:10:15,320 --> 00:10:17,360 Speaker 1: some of the stuff we're working on. Yeah, so you've 152 00:10:17,360 --> 00:10:20,079 Speaker 1: made some news here at the show. Why don't you 153 00:10:20,120 --> 00:10:24,480 Speaker 1: tell our audience, which spans not only the US but globally, 154 00:10:25,040 --> 00:10:30,600 Speaker 1: what Connected Travel is up to, because it's making news here. Well, 155 00:10:30,920 --> 00:10:36,560 Speaker 1: we have been working quietly over the past six months 156 00:10:37,120 --> 00:10:42,160 Speaker 1: with an auto OEM in Europe, Radio Line and Simple 157 00:10:42,200 --> 00:10:46,920 Speaker 1: Bet to build a next generation radio experience in the 158 00:10:47,000 --> 00:10:55,480 Speaker 1: car that enables drivers to interact with live sportscasts and 159 00:10:56,040 --> 00:11:00,200 Speaker 1: enables them to do micro betting while they're driving. They 160 00:11:00,240 --> 00:11:08,439 Speaker 1: could bet on NFL, NBA, Major League Baseball games. Every 161 00:11:08,520 --> 00:11:11,000 Speaker 1: time somebody comes up to bat or makes a pitch, 162 00:11:11,080 --> 00:11:13,200 Speaker 1: you have the ability to make a bet by voice 163 00:11:13,240 --> 00:11:18,760 Speaker 1: and win prizes and eventually you'll be able to win money. 164 00:11:19,559 --> 00:11:22,360 Speaker 1: So the implications of this at a time when the 165 00:11:22,480 --> 00:11:27,240 Speaker 1: radio industry has gotten this influx of sports betting money, 166 00:11:27,640 --> 00:11:31,400 Speaker 1: I think they're really massive, don't you think for the 167 00:11:31,440 --> 00:11:37,760 Speaker 1: industry at this time, especially hopefully it's transformative. Most of 168 00:11:37,800 --> 00:11:42,239 Speaker 1: the time the betting companies like fan Duel and DraftKings 169 00:11:42,240 --> 00:11:47,240 Speaker 1: and Betting and GM are advertising on air. People are 170 00:11:47,240 --> 00:11:50,800 Speaker 1: listening to the radio in the car and then they 171 00:11:50,800 --> 00:11:53,480 Speaker 1: have to remember where to go at some point in 172 00:11:53,520 --> 00:11:57,520 Speaker 1: time after they finish their trip. In this particular case, 173 00:11:58,080 --> 00:12:02,680 Speaker 1: the advertising becomes transaction double. They can engage immediately, and 174 00:12:02,760 --> 00:12:06,600 Speaker 1: more importantly, they while they're listening to the sportscasts, they 175 00:12:06,600 --> 00:12:10,360 Speaker 1: can actually participate in the game and make live bets 176 00:12:11,000 --> 00:12:15,960 Speaker 1: themselves as well as with their friends and other fans 177 00:12:15,960 --> 00:12:19,880 Speaker 1: of their favorite teams. And do you think this increases 178 00:12:20,080 --> 00:12:25,599 Speaker 1: the rent of time people listen as well? Absolutely? And typical. 179 00:12:26,400 --> 00:12:29,560 Speaker 1: You know your standard betting experiences. You bet before the 180 00:12:29,600 --> 00:12:31,120 Speaker 1: game and you wait until the end of the game. 181 00:12:32,080 --> 00:12:38,040 Speaker 1: And this particular case, you're able to bet over an 182 00:12:38,080 --> 00:12:41,080 Speaker 1: average for say a Major League Baseball game, you can 183 00:12:41,520 --> 00:12:44,120 Speaker 1: bet over one hundred and fifty times during the game, 184 00:12:44,720 --> 00:12:48,200 Speaker 1: at pitches and bats going on, at bats going on 185 00:12:48,240 --> 00:12:52,440 Speaker 1: in the game, and that creates significantly more engagement. But 186 00:12:53,080 --> 00:12:56,040 Speaker 1: what's also great about this is that every single time 187 00:12:56,120 --> 00:13:01,679 Speaker 1: somebody engages, you know, so you can measure the activity 188 00:13:02,240 --> 00:13:06,000 Speaker 1: and provide that attribution that's been missing in radio for 189 00:13:06,040 --> 00:13:11,320 Speaker 1: so long. So what about the safety aspect of this though, Well, 190 00:13:13,360 --> 00:13:16,520 Speaker 1: one of the most important things is we have a 191 00:13:16,600 --> 00:13:20,600 Speaker 1: voice interface to this, so while people are driving, they 192 00:13:20,600 --> 00:13:23,480 Speaker 1: can keep both hands on the wheel, they can listen 193 00:13:23,520 --> 00:13:28,760 Speaker 1: to the game and simply say bet and then they'll 194 00:13:28,800 --> 00:13:32,640 Speaker 1: hear the results. And it also pushes all of their 195 00:13:33,160 --> 00:13:36,200 Speaker 1: stats to their mobile device, so after the game you 196 00:13:36,280 --> 00:13:43,199 Speaker 1: get a chance to see all of your your wins 197 00:13:43,280 --> 00:13:47,160 Speaker 1: during the game and then count them up and also 198 00:13:47,280 --> 00:13:49,439 Speaker 1: keep track of them for future games because there's all 199 00:13:49,480 --> 00:13:51,280 Speaker 1: kinds of prizes that you have the ability to wag 200 00:13:51,320 --> 00:13:54,560 Speaker 1: along the way too. And you have other implications that 201 00:13:54,640 --> 00:13:59,440 Speaker 1: is when it comes to use cases for probably like 202 00:13:59,480 --> 00:14:03,800 Speaker 1: an NP are I'm thinking as well. Yes, pre COVID, 203 00:14:03,840 --> 00:14:07,760 Speaker 1: we had started some of our work on transactional radio 204 00:14:08,480 --> 00:14:11,719 Speaker 1: and did a project with a couple of NPR stations 205 00:14:12,320 --> 00:14:16,920 Speaker 1: where we enabled people to donate and tip while they 206 00:14:16,920 --> 00:14:22,600 Speaker 1: were listening to the broadcast, as well as send the 207 00:14:22,640 --> 00:14:26,080 Speaker 1: content to themselves if they couldn't finish the story, or 208 00:14:26,120 --> 00:14:29,120 Speaker 1: more importantly, if they found something inspiring, they could send 209 00:14:29,160 --> 00:14:35,240 Speaker 1: that story to friends and family and colleagues. So to 210 00:14:35,360 --> 00:14:40,560 Speaker 1: get this into sort of a scalable marketplace, how do 211 00:14:40,600 --> 00:14:45,120 Speaker 1: you see this rolling out so it becomes a bigger deal. Well, 212 00:14:45,400 --> 00:14:47,600 Speaker 1: the first thing we've been doing is making sure that 213 00:14:47,680 --> 00:14:51,800 Speaker 1: it works on some of the emerging platforms that enable 214 00:14:51,880 --> 00:14:57,000 Speaker 1: this kind of interactivity, So CarPlay, Android Auto and now 215 00:14:57,800 --> 00:15:01,240 Speaker 1: with what we're announcing here, Android Automotive, so that it 216 00:15:01,240 --> 00:15:04,400 Speaker 1: can be embedded in vehicles. So that's the most important 217 00:15:04,440 --> 00:15:09,160 Speaker 1: thing being on these next generation platforms. And then the 218 00:15:09,200 --> 00:15:13,160 Speaker 1: cars themselves, with the payment systems, with the voice systems 219 00:15:13,760 --> 00:15:20,400 Speaker 1: and commerce systems, enable broadcasters, teams, leagues in the case 220 00:15:20,400 --> 00:15:24,000 Speaker 1: of sports, to plug in directly and provide these services 221 00:15:24,000 --> 00:15:29,200 Speaker 1: to their fans. So we've got something that is vehicle 222 00:15:29,280 --> 00:15:34,760 Speaker 1: independent and then works just like a smartphone across all 223 00:15:34,800 --> 00:15:38,280 Speaker 1: of these all of these different vehicles that support car 224 00:15:38,280 --> 00:15:41,480 Speaker 1: playing Android Auto, which is almost every vehicle that sold 225 00:15:41,480 --> 00:15:45,400 Speaker 1: today has that capability. Well, good luck on it. You know, 226 00:15:45,480 --> 00:15:48,680 Speaker 1: I was hoping to run into Barry Manilo or something 227 00:15:48,760 --> 00:15:51,120 Speaker 1: here while I was walking the strip. But you're the 228 00:15:51,160 --> 00:15:53,280 Speaker 1: next best thing. We'll run it into you, Brian, So 229 00:15:53,480 --> 00:15:56,240 Speaker 1: thank you my pleasure. Well, last night on my way 230 00:15:56,280 --> 00:15:59,000 Speaker 1: to dinner, I got to see Elvis checking into the hotel. 231 00:15:59,080 --> 00:16:01,920 Speaker 1: So maybe maybe we'll see somebody at lunch today. How 232 00:16:01,920 --> 00:16:05,080 Speaker 1: did he look? By the way, he had a very 233 00:16:05,160 --> 00:16:09,680 Speaker 1: nice spray on tan. Good luck on smart radio. Brian 234 00:16:09,760 --> 00:16:15,680 Speaker 1: Benniac from Connected Travel, thank you, thank you, well, my god, 235 00:16:15,840 --> 00:16:19,080 Speaker 1: I happened to be walking around here at the NAB 236 00:16:19,600 --> 00:16:22,520 Speaker 1: in Las Vegas, and I'm taking a walk one of 237 00:16:22,560 --> 00:16:26,600 Speaker 1: my dearest friends, Ruth Presloff. It's so nice to see you, Ruth. 238 00:16:28,640 --> 00:16:32,000 Speaker 1: I mean, for me, one of the great things is 239 00:16:32,320 --> 00:16:35,160 Speaker 1: meeting new people with taking a walk, but one of 240 00:16:35,200 --> 00:16:38,200 Speaker 1: the even better things is the word old my friend, 241 00:16:38,600 --> 00:16:45,120 Speaker 1: regrouping with old friends that work, and this is so special. Ruth. 242 00:16:45,120 --> 00:16:47,640 Speaker 1: It's great to see you now. I just saw you recently. 243 00:16:48,280 --> 00:16:53,960 Speaker 1: And a little context for the vast audience have taken 244 00:16:54,000 --> 00:16:57,600 Speaker 1: a walk, especially the worldwide audience. We're very big in 245 00:16:57,880 --> 00:17:03,360 Speaker 1: Croatia for some reason, and check Slovakia. But Ruth was 246 00:17:03,560 --> 00:17:08,000 Speaker 1: with me when I was in La and we were 247 00:17:08,040 --> 00:17:11,280 Speaker 1: taking a walk with the Great at Begley Jr. That 248 00:17:11,359 --> 00:17:14,399 Speaker 1: was a treat. So we went over to his house 249 00:17:14,480 --> 00:17:20,520 Speaker 1: and Ruth was there to take some snaps of that episode. 250 00:17:20,640 --> 00:17:23,080 Speaker 1: And it was very special to have have you along. 251 00:17:23,240 --> 00:17:25,959 Speaker 1: Wasn't he special? Though he knew? He was so warm 252 00:17:26,119 --> 00:17:32,159 Speaker 1: and so cordial. And he mentioned something that his father 253 00:17:32,240 --> 00:17:35,360 Speaker 1: taught him in terms of not what are you against? 254 00:17:35,359 --> 00:17:38,600 Speaker 1: What are you for? And I loved that, right and 255 00:17:38,680 --> 00:17:41,840 Speaker 1: I have been thinking about that ever since. So that 256 00:17:42,080 --> 00:17:46,760 Speaker 1: was a teachable moment. But what a guy who had 257 00:17:47,119 --> 00:17:53,000 Speaker 1: like just a tremendous energy about yes and one, I 258 00:17:53,040 --> 00:17:57,800 Speaker 1: mean among many favorite lines. So I asked the dorky question, 259 00:17:59,080 --> 00:18:02,199 Speaker 1: so who that you haven't worked with? Would you like? 260 00:18:02,240 --> 00:18:04,919 Speaker 1: That's right? Right? He's like, there's a grip over on 261 00:18:04,960 --> 00:18:08,360 Speaker 1: the burbank lot number seven. There's a boom operator too 262 00:18:08,400 --> 00:18:12,119 Speaker 1: that I haven't worked without it, and he and I 263 00:18:12,280 --> 00:18:16,080 Speaker 1: was like, oh man, he got me right, which was 264 00:18:16,119 --> 00:18:19,000 Speaker 1: so much funny, so much fun So, but it's nice 265 00:18:19,000 --> 00:18:24,000 Speaker 1: to see you in Las Vegas. NAB is going on, 266 00:18:24,160 --> 00:18:29,520 Speaker 1: but you are involved with with work that I think 267 00:18:30,720 --> 00:18:34,119 Speaker 1: is part of NAB, but kind of is his own entity. 268 00:18:35,040 --> 00:18:39,240 Speaker 1: Talk about the mentoring work that you're part of and 269 00:18:39,320 --> 00:18:43,600 Speaker 1: others are part of for women in broadcasting. So I 270 00:18:43,600 --> 00:18:46,440 Speaker 1: am president of the board of an organization called Mentoring 271 00:18:46,600 --> 00:18:49,840 Speaker 1: and Inspiring Women in Radio, Inc. And I'm really going 272 00:18:49,920 --> 00:18:51,760 Speaker 1: to stress that INC. Because we've been around for a 273 00:18:51,800 --> 00:18:53,720 Speaker 1: long time, but last year we became a five oh 274 00:18:53,800 --> 00:18:56,919 Speaker 1: one C three and that's a game changer. We have 275 00:18:57,359 --> 00:19:01,600 Speaker 1: an incredible board. They are men who are in this business. 276 00:19:02,119 --> 00:19:05,880 Speaker 1: So we've got senior people from Odyssey and from Radio One, 277 00:19:06,119 --> 00:19:12,280 Speaker 1: and from MS and from Illuminate, from and Coroin Baldasano 278 00:19:12,280 --> 00:19:14,360 Speaker 1: who's been in this business forever, one of the first 279 00:19:14,440 --> 00:19:18,000 Speaker 1: women program directors in the country, Erica Farber who's head 280 00:19:18,000 --> 00:19:23,120 Speaker 1: of the RAB and we are all there to help 281 00:19:23,200 --> 00:19:28,040 Speaker 1: other women in the business. So after years and years 282 00:19:28,080 --> 00:19:31,160 Speaker 1: and years and years of running my own company and 283 00:19:31,359 --> 00:19:34,080 Speaker 1: doing all the business stuff, to be able to be here, 284 00:19:34,600 --> 00:19:40,560 Speaker 1: to be to celebrate the work that we're doing. We 285 00:19:40,640 --> 00:19:44,760 Speaker 1: had a huge sold out dinner last night and just 286 00:19:44,920 --> 00:19:46,959 Speaker 1: a lot of support and a lot of momentum. And 287 00:19:47,040 --> 00:19:50,680 Speaker 1: it is a gratifying thing and wonderful to be able 288 00:19:50,720 --> 00:19:54,000 Speaker 1: to put energy into it's great work, and it is 289 00:19:54,040 --> 00:19:56,800 Speaker 1: a great energy of people, all different types of people 290 00:19:56,880 --> 00:20:01,080 Speaker 1: from small markets, media markets, large marketkets and it is 291 00:20:01,119 --> 00:20:05,640 Speaker 1: such important work. So at the core of it, how 292 00:20:05,720 --> 00:20:13,000 Speaker 1: can women considering getting in broadcasting be more encouraged to 293 00:20:13,040 --> 00:20:16,520 Speaker 1: be part of the business. I think that. So there 294 00:20:16,560 --> 00:20:18,680 Speaker 1: are a couple of things. First of all, go to 295 00:20:18,760 --> 00:20:21,080 Speaker 1: radio MIW dot com if I can put that plug 296 00:20:21,280 --> 00:20:28,680 Speaker 1: like squarely in there. This business needs new talent and 297 00:20:29,880 --> 00:20:31,440 Speaker 1: one of the And so there are a lot of 298 00:20:31,520 --> 00:20:34,680 Speaker 1: different programs. There's NABETH. We just gave the Trailblazer Award 299 00:20:34,720 --> 00:20:37,680 Speaker 1: to Michelle Duke. She runs all this stuff for the 300 00:20:37,800 --> 00:20:43,080 Speaker 1: NAB around diversity, inclusion, equity and also has programs for 301 00:20:43,119 --> 00:20:45,879 Speaker 1: really bringing new people in. A lot of what we 302 00:20:45,960 --> 00:20:48,920 Speaker 1: focus on are senior women in the business and how 303 00:20:48,960 --> 00:20:51,959 Speaker 1: do we get them higher up. We do an annual 304 00:20:52,000 --> 00:20:56,280 Speaker 1: gender analysis study and we like celebrate, oh my gosh, 305 00:20:56,320 --> 00:20:58,600 Speaker 1: look at this, we grew half a percentage. And you know, 306 00:20:59,240 --> 00:21:02,960 Speaker 1: program director, there are so few women program directors, and 307 00:21:03,040 --> 00:21:05,600 Speaker 1: women make up more than half of the audience, you know, 308 00:21:05,760 --> 00:21:09,119 Speaker 1: listening audience. And I think, and you are going to 309 00:21:09,160 --> 00:21:10,560 Speaker 1: quote me on this and you shouldn't, but I think 310 00:21:10,600 --> 00:21:13,479 Speaker 1: it's like twelve percent of the program directors. It's just 311 00:21:13,560 --> 00:21:17,040 Speaker 1: like it's an anemic number. And I'm if I'm off 312 00:21:17,160 --> 00:21:19,520 Speaker 1: by a factor of you know, if it's twenty four percent, 313 00:21:19,600 --> 00:21:22,320 Speaker 1: it's still an anemic number. But it's a really low number. Right, 314 00:21:23,760 --> 00:21:26,639 Speaker 1: So we really look at and I always hammer this, 315 00:21:27,160 --> 00:21:30,080 Speaker 1: we really look at, how can we help women in 316 00:21:30,119 --> 00:21:33,880 Speaker 1: this business sixteed because it's good for the women and 317 00:21:33,920 --> 00:21:36,680 Speaker 1: it's good for the business. You don't want to hemorrhage 318 00:21:36,720 --> 00:21:39,480 Speaker 1: any more talent than we already are losing. And so 319 00:21:39,920 --> 00:21:42,480 Speaker 1: if you can get somebody who's got a lot of talent, 320 00:21:42,560 --> 00:21:45,200 Speaker 1: and we've got so many women that we've mentored who 321 00:21:45,280 --> 00:21:49,400 Speaker 1: have so much talent and keep them in the business 322 00:21:50,040 --> 00:21:53,320 Speaker 1: instead of taking their credible skills and enthusiasm and saying 323 00:21:53,359 --> 00:21:57,920 Speaker 1: there's no place for me here, that's a win for everybody. 324 00:21:57,920 --> 00:21:59,960 Speaker 1: That's a win for every company, and that's a win 325 00:22:00,080 --> 00:22:04,720 Speaker 1: for the individual. And I think the daunting nature of 326 00:22:04,760 --> 00:22:08,440 Speaker 1: the business in general, and then add in the fact 327 00:22:08,520 --> 00:22:11,760 Speaker 1: that if you're a female and you're in a daunting business, 328 00:22:12,160 --> 00:22:19,480 Speaker 1: this nudge, this encouragement, this you know, inclusion is I 329 00:22:19,480 --> 00:22:24,720 Speaker 1: think more critical than ever. Right, I can't believe we're 330 00:22:24,760 --> 00:22:27,119 Speaker 1: still having and I don't mean we're still having this conversation. 331 00:22:27,240 --> 00:22:29,400 Speaker 1: Taken a walk, but I mean, I can't believe as 332 00:22:29,400 --> 00:22:33,159 Speaker 1: a society we're still having this conversation. And I can't 333 00:22:33,200 --> 00:22:37,680 Speaker 1: believe as a society, I'm still hearing the same I'll say, 334 00:22:37,760 --> 00:22:42,560 Speaker 1: stuff happening to these women has been happening for like ever, 335 00:22:43,600 --> 00:22:48,320 Speaker 1: and we're still having that same conversation. You break. Yeah, 336 00:22:48,359 --> 00:22:50,240 Speaker 1: I don't get it. I think it's a tone deaf 337 00:22:50,359 --> 00:22:52,720 Speaker 1: nature of stuff, and I think it's a tone deaf 338 00:22:52,800 --> 00:22:57,560 Speaker 1: nature of society as well. But I feel like when 339 00:22:57,600 --> 00:23:00,639 Speaker 1: I think of what probably is going on at the 340 00:23:01,720 --> 00:23:09,639 Speaker 1: university college level, it still feels like within university and 341 00:23:09,720 --> 00:23:13,800 Speaker 1: colleges there can be more done there yea to make 342 00:23:13,840 --> 00:23:18,760 Speaker 1: it a better path for women in media and in 343 00:23:18,760 --> 00:23:22,200 Speaker 1: broadcasting in general. How can that happen? How can there 344 00:23:22,280 --> 00:23:27,200 Speaker 1: be any a more productive path in the educational institutions. 345 00:23:28,359 --> 00:23:30,600 Speaker 1: I think there's a lot to be said for role models. 346 00:23:30,920 --> 00:23:34,960 Speaker 1: I think there's a lot to be said for aspirations, 347 00:23:35,000 --> 00:23:37,639 Speaker 1: for seeing someone in a position and saying that's what 348 00:23:37,680 --> 00:23:41,159 Speaker 1: I want to do, and then being you know, just 349 00:23:41,240 --> 00:23:45,760 Speaker 1: being able to form the relationships to not only see 350 00:23:45,800 --> 00:23:50,040 Speaker 1: someone and say I could model my career after that person, 351 00:23:50,880 --> 00:23:55,520 Speaker 1: but to know their story, to understand that they started, 352 00:23:55,920 --> 00:24:00,800 Speaker 1: you know, as an assistant, they started as an account 353 00:24:00,800 --> 00:24:06,119 Speaker 1: execs somewhere, they started humbly, and how much they had 354 00:24:06,160 --> 00:24:07,800 Speaker 1: to work and what they had to do to get 355 00:24:07,880 --> 00:24:12,560 Speaker 1: where they got. Well, as someone who started your own business, 356 00:24:13,359 --> 00:24:17,439 Speaker 1: you also understand not only as the entrepreneur side of 357 00:24:17,480 --> 00:24:21,959 Speaker 1: things where resilience comes in, but now you see it 358 00:24:22,480 --> 00:24:25,600 Speaker 1: from your other vantage point with your m I W 359 00:24:25,600 --> 00:24:32,240 Speaker 1: work where you know resilience is mandatory. Unfortunately I hate 360 00:24:32,240 --> 00:24:35,159 Speaker 1: to put it that way, but it's mandatory for women 361 00:24:35,280 --> 00:24:40,320 Speaker 1: to stick with this business. Is that wrong? You know, 362 00:24:40,359 --> 00:24:44,240 Speaker 1: a'll widen it. I think that's true on the entire 363 00:24:44,280 --> 00:24:48,400 Speaker 1: gender spectrum. I think resiliency. I think great I think tenacity. 364 00:24:48,440 --> 00:24:52,800 Speaker 1: I think problem solving when people take what's different about 365 00:24:52,840 --> 00:24:56,479 Speaker 1: you and make that the issue that's a problem. But 366 00:24:57,480 --> 00:25:02,400 Speaker 1: and I love this business. I don't care if you're 367 00:25:02,480 --> 00:25:05,640 Speaker 1: someone who has a great idea and can execute it, 368 00:25:06,040 --> 00:25:08,600 Speaker 1: if you're a problem solver, if you're someone who can 369 00:25:08,600 --> 00:25:12,159 Speaker 1: build teams, if you're someone who can bounce right and 370 00:25:12,560 --> 00:25:16,280 Speaker 1: recover from everything. The last couple of years have brought 371 00:25:16,440 --> 00:25:20,439 Speaker 1: our way. I don't care if you're a woman. I 372 00:25:20,440 --> 00:25:23,359 Speaker 1: don't care. I don't care where you are in the 373 00:25:23,400 --> 00:25:26,440 Speaker 1: gender spectrum. I just need your help and I need 374 00:25:26,480 --> 00:25:29,120 Speaker 1: your energy, and I need you as part of our business. 375 00:25:29,760 --> 00:25:31,480 Speaker 1: And so to me, it's a lot of it is 376 00:25:31,520 --> 00:25:35,040 Speaker 1: also just clear out the hurdles. Don't make it difficult 377 00:25:35,080 --> 00:25:38,159 Speaker 1: for someone to succeed whose very success is going to 378 00:25:38,240 --> 00:25:41,399 Speaker 1: help your company. Why do we shoot ourselves in the 379 00:25:41,440 --> 00:25:44,959 Speaker 1: foot and say, well, I don't know about that person, 380 00:25:45,040 --> 00:25:47,560 Speaker 1: and still get the are you pregnant? Are you going 381 00:25:47,600 --> 00:25:49,639 Speaker 1: to get pregnant? I can't hire these young women, and 382 00:25:49,680 --> 00:25:52,520 Speaker 1: it's like, are you kidding me? Well, like you said, 383 00:25:52,880 --> 00:25:56,680 Speaker 1: I can't believe we're still unfortunately having to have the conversation, 384 00:25:57,040 --> 00:26:00,880 Speaker 1: but we need to have the conversation. Yeah, because it's 385 00:26:00,880 --> 00:26:06,160 Speaker 1: still at issue. But I thank you for that work 386 00:26:06,320 --> 00:26:11,200 Speaker 1: that you're doing and absolutely my pleasure. I thank you 387 00:26:11,280 --> 00:26:15,119 Speaker 1: for being a pal, and I thank you for taking 388 00:26:15,160 --> 00:26:18,480 Speaker 1: a walk. Love it fuzz What a treat to see 389 00:26:18,480 --> 00:26:20,600 Speaker 1: you in Los Angeles and Las Vegas. We'll keep the 390 00:26:20,720 --> 00:26:25,120 Speaker 1: l cities going and what would be next? Don't say 391 00:26:25,200 --> 00:26:28,760 Speaker 1: love it? I'm not I'm not sure that's pause too. 392 00:26:28,880 --> 00:26:30,800 Speaker 1: I don't think we have any listeners that I last 393 00:26:30,840 --> 00:26:33,360 Speaker 1: checked and love it, but we'll take them from anything. Well, 394 00:26:33,359 --> 00:26:36,480 Speaker 1: we won't. Now, we won't cast it. Love it must 395 00:26:36,520 --> 00:26:43,800 Speaker 1: be beautiful Lisbon, Lisbon done? Love it or Lisbon? I 396 00:26:43,840 --> 00:26:47,119 Speaker 1: think instead of what happens in Vegas days in Vegas, 397 00:26:47,119 --> 00:26:53,560 Speaker 1: we're going to market love it or Lisbon? Thanks Ruth. Well, 398 00:26:53,560 --> 00:26:56,720 Speaker 1: my I'm just sort of wandering here in Las Vegas 399 00:26:56,840 --> 00:27:01,840 Speaker 1: near the Westgate Hotel and lo and behold I bump 400 00:27:01,880 --> 00:27:05,760 Speaker 1: into my dear friend Fred Jacobs. So great to see 401 00:27:05,800 --> 00:27:10,800 Speaker 1: you here at the NAB twenty twenty two. How are you, Fred? 402 00:27:10,920 --> 00:27:14,320 Speaker 1: I'm good, buzz and it is actually nice to be 403 00:27:14,440 --> 00:27:19,920 Speaker 1: back after three years of nothingness and now, I mean, 404 00:27:20,000 --> 00:27:23,879 Speaker 1: how many zoom calls have we been on? Right? And 405 00:27:23,960 --> 00:27:26,800 Speaker 1: yet I haven't seen you in two years, and it's 406 00:27:26,880 --> 00:27:29,760 Speaker 1: just nice to be back with people. It is. I mean, 407 00:27:30,400 --> 00:27:33,560 Speaker 1: it's great to be seen. It's great to see people. 408 00:27:34,280 --> 00:27:37,520 Speaker 1: I mean, maybe some people not so much right now, 409 00:27:37,560 --> 00:27:41,520 Speaker 1: not so much. I'm kidding. But you know, Vegas the 410 00:27:41,600 --> 00:27:45,480 Speaker 1: scene of many of our crime when it comes to 411 00:27:46,320 --> 00:27:50,000 Speaker 1: coming to the Consumer Electronics Show every January. So we 412 00:27:50,080 --> 00:27:55,360 Speaker 1: love Vegas. We do in this context. I mean, normally no, 413 00:27:55,720 --> 00:27:59,720 Speaker 1: but at a big convention like this, it is cool 414 00:28:00,080 --> 00:28:02,359 Speaker 1: see a lot of people. If you take the time, 415 00:28:03,040 --> 00:28:07,880 Speaker 1: you learn some stuff, you see some gear, and you 416 00:28:07,920 --> 00:28:10,320 Speaker 1: just sort of pick up on this stuff. It's it is. 417 00:28:10,880 --> 00:28:13,960 Speaker 1: You know, it's cliche, but it's a good networking thing. 418 00:28:14,920 --> 00:28:19,920 Speaker 1: By the way, that real sound that the listeners all 419 00:28:19,960 --> 00:28:24,320 Speaker 1: across the globe are hearing is the monorail that's passing by. So, 420 00:28:24,680 --> 00:28:26,560 Speaker 1: which is a great thing. By the way, I took 421 00:28:26,600 --> 00:28:30,960 Speaker 1: it over here, and I've become like a real monorail 422 00:28:31,040 --> 00:28:34,919 Speaker 1: fan in Vegas as opposed to ubers and taxi cabs 423 00:28:34,920 --> 00:28:38,680 Speaker 1: and god forbid walking because everything is so far away 424 00:28:38,760 --> 00:28:42,120 Speaker 1: and it appears it appears to be a lot closer. Yeah, 425 00:28:42,280 --> 00:28:45,440 Speaker 1: is this somebody? We know? It is a similar It 426 00:28:45,520 --> 00:28:48,360 Speaker 1: is a similar face. Yes, this is This is terrific. 427 00:28:48,400 --> 00:28:51,840 Speaker 1: This is what we call happenstance. As we're taking a 428 00:28:51,880 --> 00:28:56,320 Speaker 1: walk the other Jacobs, you could speak of Paul Jacobs. Hello, 429 00:28:56,440 --> 00:28:59,320 Speaker 1: Paul buzz, how are you good? We're I take out 430 00:28:59,360 --> 00:29:02,440 Speaker 1: your walk. We're walking, and we're taking a walk. One 431 00:29:02,440 --> 00:29:06,920 Speaker 1: of the beautiful things is when happenstance happens and we 432 00:29:07,040 --> 00:29:11,200 Speaker 1: bump into people and bumping into you is terrific as well. 433 00:29:11,240 --> 00:29:13,120 Speaker 1: And most people would say, I'm a lot better than 434 00:29:13,160 --> 00:29:17,520 Speaker 1: a bird pooping on your shoulders. Wow, while you're taking 435 00:29:17,560 --> 00:29:20,160 Speaker 1: a walk. Wow. I would say that, by the way, 436 00:29:20,320 --> 00:29:23,600 Speaker 1: not me, not me. Yeah, yeah. Did you have a 437 00:29:23,680 --> 00:29:27,520 Speaker 1: nice lunch inside the West Gate? Absolutely? And I had 438 00:29:27,520 --> 00:29:30,200 Speaker 1: a great view of you as we were eating, and 439 00:29:30,200 --> 00:29:32,680 Speaker 1: you were much more interesting than my turkey burger. I 440 00:29:32,800 --> 00:29:36,719 Speaker 1: scarfed down some fabulous mats of bowl soup. Nothing like 441 00:29:36,720 --> 00:29:42,200 Speaker 1: Sids Cafe. It's a legend. Oh, come on, it's a 442 00:29:42,280 --> 00:29:45,840 Speaker 1: Vegas meal. Fred. Should we keep your brother as pleasure? 443 00:29:46,240 --> 00:29:48,760 Speaker 1: I think so? You could you have time? Yeah, I 444 00:29:48,840 --> 00:29:51,719 Speaker 1: have a few minutes. This is perfect, This is this 445 00:29:51,800 --> 00:29:54,479 Speaker 1: is in my wildest dream. Nobody's going to believe this 446 00:29:54,560 --> 00:29:58,040 Speaker 1: actually happened. But this was totally on playing. This actually happened. 447 00:29:58,080 --> 00:30:01,719 Speaker 1: So first of all, well, the concept of taking a 448 00:30:01,760 --> 00:30:07,800 Speaker 1: walk is something that I think about YouTube, gentlemen, because 449 00:30:08,440 --> 00:30:10,880 Speaker 1: I know for fact that there are many times to 450 00:30:10,920 --> 00:30:15,480 Speaker 1: sort of clear your head and to work out ideas 451 00:30:15,920 --> 00:30:18,920 Speaker 1: that you boys, you Jacob's boys, like to take a walk. 452 00:30:19,000 --> 00:30:24,600 Speaker 1: Is that right? Oh, we're famous walkers. We in our 453 00:30:24,640 --> 00:30:27,120 Speaker 1: old days. Two years ago, three years ago. We used 454 00:30:27,160 --> 00:30:32,200 Speaker 1: to walk every Saturday and Sunday for hours and do 455 00:30:32,360 --> 00:30:35,480 Speaker 1: half marathons and things like that, and it's great. You 456 00:30:35,520 --> 00:30:37,000 Speaker 1: do a half marathon and you get a lot of 457 00:30:37,000 --> 00:30:41,840 Speaker 1: business done. It's really kind of a yeah, a true thing. Yeah, Yeah, 458 00:30:41,920 --> 00:30:46,200 Speaker 1: COVID slowed us down for a variety of reasons. Paul 459 00:30:46,320 --> 00:30:49,960 Speaker 1: actually has continued his walking and walk the half marathon 460 00:30:50,120 --> 00:30:52,880 Speaker 1: last fall without me, So I'm kind of trying to 461 00:30:52,920 --> 00:30:55,240 Speaker 1: work my way back up to a bit. Actually being 462 00:30:55,280 --> 00:30:58,680 Speaker 1: at this conference, I probably logged more miles in the 463 00:30:58,760 --> 00:31:01,160 Speaker 1: last forty eight hours than I have in the last 464 00:31:01,160 --> 00:31:04,160 Speaker 1: forty eight months, no doubt. In bad shoes, in bad 465 00:31:04,200 --> 00:31:09,160 Speaker 1: shoes point. Yeah. So it helps you guys, not only 466 00:31:09,360 --> 00:31:15,320 Speaker 1: you know, fitness wise, but idea generation problem solving right 467 00:31:15,480 --> 00:31:18,520 Speaker 1: totally totally gets the juices flying. Yeah, and we argue 468 00:31:18,560 --> 00:31:22,320 Speaker 1: with each other, but in only the best way. But 469 00:31:22,600 --> 00:31:25,280 Speaker 1: I mean we go at it in a constructive way 470 00:31:25,440 --> 00:31:31,080 Speaker 1: and we push each other really hard, and it's cool. 471 00:31:31,120 --> 00:31:33,440 Speaker 1: It's a great process. I mean, we've been working together 472 00:31:33,480 --> 00:31:35,400 Speaker 1: for so long we kind of have it down. I mean, 473 00:31:35,440 --> 00:31:38,920 Speaker 1: even when we get pissed off at each other, it's 474 00:31:38,960 --> 00:31:40,560 Speaker 1: like ten minutes later, it's like, so where do you 475 00:31:40,600 --> 00:31:44,760 Speaker 1: want to have lunch? Yeah? Right, it's like a good marriage. Yeah, 476 00:31:44,920 --> 00:31:49,080 Speaker 1: that's exactly right. Yeah. Well, and I might say some 477 00:31:49,200 --> 00:31:52,040 Speaker 1: of the places that you probably are able to take 478 00:31:52,040 --> 00:31:55,440 Speaker 1: a walk in, or certainly favorite places of mine, like 479 00:31:56,000 --> 00:31:59,440 Speaker 1: this place Birmingham, Michigan that you guys know pretty well. Right, 480 00:32:00,080 --> 00:32:03,360 Speaker 1: nothing like Birmingham, of course, as we're sitting here walking 481 00:32:03,400 --> 00:32:07,320 Speaker 1: through the Westgate here in Vegas, trust me, I'd rather 482 00:32:07,360 --> 00:32:11,960 Speaker 1: be in Birmingham. It sounds like a bumper sticker totally. Yeah, Yeah, 483 00:32:12,280 --> 00:32:16,480 Speaker 1: you're right, But yeah, we're we like to just pretty 484 00:32:16,560 --> 00:32:19,680 Speaker 1: much air it out anywhere we go, and it's a 485 00:32:19,720 --> 00:32:21,800 Speaker 1: great prob I mean, we're so lucky to have each other. 486 00:32:21,840 --> 00:32:26,840 Speaker 1: I mean as kids, we were not particularly close. But 487 00:32:27,000 --> 00:32:30,160 Speaker 1: as adults, I mean we've been working together for decades now, 488 00:32:30,200 --> 00:32:32,360 Speaker 1: and I mean we know each other's moves, so it's 489 00:32:32,760 --> 00:32:37,240 Speaker 1: it's a great process. You weren't close. I stopped there 490 00:32:37,280 --> 00:32:40,440 Speaker 1: for a second. Well, No, we weren't close as kids, kid, 491 00:32:40,840 --> 00:32:44,080 Speaker 1: not really. I mean, I mean we got along, but 492 00:32:44,160 --> 00:32:46,920 Speaker 1: we weren't tight. You know, there's three and a half 493 00:32:47,040 --> 00:32:51,760 Speaker 1: years difference. Yes, I'm older, let's get that out of 494 00:32:51,760 --> 00:32:55,280 Speaker 1: the way. But but no, we really were in different circles, 495 00:32:55,320 --> 00:32:58,280 Speaker 1: and we were different kinds of people. And even today, 496 00:32:58,320 --> 00:33:00,760 Speaker 1: I mean I'm programming these sales. I mean we come 497 00:33:00,800 --> 00:33:05,080 Speaker 1: at it from different sides of the radio spectrum, right, 498 00:33:05,200 --> 00:33:08,600 Speaker 1: put it differently. He thought I was a stupid job, 499 00:33:09,680 --> 00:33:12,080 Speaker 1: and he thought he was some grand intellectual and he 500 00:33:12,200 --> 00:33:15,520 Speaker 1: was really he was really right about both. Wow, this 501 00:33:15,640 --> 00:33:17,720 Speaker 1: is way too much truth. And here's and here's the 502 00:33:17,760 --> 00:33:22,720 Speaker 1: breaking point. We call it therapy. I feel under the Yeah, 503 00:33:23,120 --> 00:33:26,360 Speaker 1: here's the breaking finish. So I was at Michigan State. 504 00:33:27,480 --> 00:33:29,880 Speaker 1: Fred got his uh it was going to get his 505 00:33:29,960 --> 00:33:32,080 Speaker 1: master's in Michigan State. And part of the thing was 506 00:33:32,160 --> 00:33:35,560 Speaker 1: he had to teach the hardest course in the radio department, 507 00:33:35,840 --> 00:33:38,680 Speaker 1: radio two on one. And it was a hard course 508 00:33:38,720 --> 00:33:41,040 Speaker 1: and it's what we did out everybody. So I had 509 00:33:41,040 --> 00:33:45,440 Speaker 1: to take the course from me from Fred. He kicked 510 00:33:45,720 --> 00:33:49,480 Speaker 1: my ass, okay, it was it was unbelievable, but I 511 00:33:49,560 --> 00:33:52,000 Speaker 1: was kind of I put my jacket on and I 512 00:33:52,080 --> 00:33:55,520 Speaker 1: was like, I'm going to ace this class to show him. 513 00:33:56,000 --> 00:33:59,480 Speaker 1: And I did. And that was probably the beginning of 514 00:33:59,600 --> 00:34:01,960 Speaker 1: the of the pray. It was Paul. But we were 515 00:34:01,960 --> 00:34:06,120 Speaker 1: there for four years and if we enjoyed four meals 516 00:34:06,160 --> 00:34:09,200 Speaker 1: with each other during that time when we weren't at home. 517 00:34:09,680 --> 00:34:12,080 Speaker 1: That's probably a lot. It's not like we hung out 518 00:34:12,120 --> 00:34:14,520 Speaker 1: with each other no, or any of that, except at 519 00:34:14,520 --> 00:34:17,760 Speaker 1: the radio production studio exactly. I saw it was more there. 520 00:34:18,080 --> 00:34:22,200 Speaker 1: But once we both got into the industry, it tightened up. 521 00:34:22,200 --> 00:34:25,560 Speaker 1: And then obviously when we started working together every day. 522 00:34:25,960 --> 00:34:28,839 Speaker 1: Working at RIFF was great though. I mean, you're right 523 00:34:28,840 --> 00:34:31,160 Speaker 1: about that, you know, And you know Fred was this 524 00:34:31,480 --> 00:34:36,000 Speaker 1: totally intense, brilliant program director ponytail right if he could 525 00:34:36,040 --> 00:34:41,160 Speaker 1: at time, and I was the arrogant successful sales guide. 526 00:34:41,719 --> 00:34:45,360 Speaker 1: And you know what happened was I decided, since I 527 00:34:45,400 --> 00:34:48,319 Speaker 1: had access to the program director and I thought my 528 00:34:48,360 --> 00:34:53,120 Speaker 1: poop didn't stink, I would occasionally walk into Fred's office 529 00:34:53,200 --> 00:34:56,960 Speaker 1: and go, you know the third track on Seeger Live, 530 00:34:57,000 --> 00:34:59,600 Speaker 1: that you should be playing it. And after about the 531 00:34:59,640 --> 00:35:02,720 Speaker 1: fifth time I did that, Fred uttered the famous words 532 00:35:03,719 --> 00:35:09,880 Speaker 1: shut up and make goal. And that's when that probably 533 00:35:10,080 --> 00:35:12,920 Speaker 1: really laid the predicate for us working together because we 534 00:35:13,040 --> 00:35:18,400 Speaker 1: began to realize that we had We came at problems 535 00:35:18,440 --> 00:35:21,920 Speaker 1: completely differently, but it worked together and we wound up 536 00:35:21,960 --> 00:35:26,480 Speaker 1: doing great stuff at RIFF, great promotion. Oh, it's unbelievable, 537 00:35:26,680 --> 00:35:29,839 Speaker 1: but I would say legendary. Yeah, well that's kind. But 538 00:35:30,160 --> 00:35:32,319 Speaker 1: you know, the other thing that has happened, though, is 539 00:35:32,360 --> 00:35:34,560 Speaker 1: that we've kind of become each other. You can ask 540 00:35:34,600 --> 00:35:38,160 Speaker 1: our wise and they will affirm. But I've learned a 541 00:35:38,200 --> 00:35:42,440 Speaker 1: lot about sales over the years from him, and he's 542 00:35:43,000 --> 00:35:46,760 Speaker 1: we'll let the mono rail go by. And he's become 543 00:35:46,800 --> 00:35:51,120 Speaker 1: a really strong programmer. I mean he understands content and 544 00:35:51,200 --> 00:35:55,640 Speaker 1: the product. And so if you'll excuse the expression, wow, 545 00:35:55,719 --> 00:36:02,080 Speaker 1: a bird has joined us. Oh wow, All has really 546 00:36:02,160 --> 00:36:06,920 Speaker 1: kind of riffed his way into being a strong resource 547 00:36:06,960 --> 00:36:09,359 Speaker 1: for me. So let's go figure. I think he's going 548 00:36:09,400 --> 00:36:12,759 Speaker 1: to keep me. Oh boy, let's sing Kumbaya together. How 549 00:36:12,800 --> 00:36:16,239 Speaker 1: many years has it been? Thirty? This is thirty two. 550 00:36:16,320 --> 00:36:18,439 Speaker 1: I think something in the fall. Yeah, wow, you guys 551 00:36:18,480 --> 00:36:21,520 Speaker 1: should be so proud. We are you are Our mother 552 00:36:21,600 --> 00:36:24,120 Speaker 1: is prouder. But yeah, she still has no clue what 553 00:36:24,160 --> 00:36:26,040 Speaker 1: we do, no which, but the fact we do it 554 00:36:26,080 --> 00:36:28,920 Speaker 1: together is kind of a thing. Yeah. She probably probably 555 00:36:28,920 --> 00:36:31,480 Speaker 1: brings a smile, right, yeah, I think what she thinks 556 00:36:31,520 --> 00:36:34,879 Speaker 1: about it, Yeah yeah, right, like it's on the top 557 00:36:34,920 --> 00:36:39,279 Speaker 1: of her tongue. Does she still hit let's move away 558 00:36:39,280 --> 00:36:41,480 Speaker 1: from that bird. I know it's really annoying. Does she 559 00:36:41,760 --> 00:36:46,640 Speaker 1: still refer to you as boys? You boys? You know what? Buzz? 560 00:36:47,280 --> 00:36:49,799 Speaker 1: She still gives us money on our birthdays and I 561 00:36:49,800 --> 00:36:52,560 Speaker 1: don't and I don't even want to tell you how 562 00:36:52,640 --> 00:36:56,280 Speaker 1: old we are. But in my case, the first digit 563 00:36:56,360 --> 00:36:59,440 Speaker 1: starts with a seven. And I said to her this 564 00:36:59,520 --> 00:37:03,280 Speaker 1: year from my birthday as she handed me the check, Mom, 565 00:37:03,360 --> 00:37:06,280 Speaker 1: at what point do you stop giving me birthday checks? 566 00:37:06,280 --> 00:37:10,680 Speaker 1: It's kind of embarrassing? And she said, never sought. Isn't 567 00:37:10,719 --> 00:37:13,600 Speaker 1: that cool? That is so cool? It brings a smile 568 00:37:13,680 --> 00:37:15,879 Speaker 1: to my face? All right, I wish she gave more, 569 00:37:16,040 --> 00:37:19,959 Speaker 1: but it's a thought that comes. Paul is checking his phone, 570 00:37:20,040 --> 00:37:23,360 Speaker 1: so I want to make sure we capitalize on his time. 571 00:37:23,440 --> 00:37:25,920 Speaker 1: Is the NAB? I haven't need it? Okay, Well, so 572 00:37:26,280 --> 00:37:30,240 Speaker 1: we're at the NAB. So in in the big scope 573 00:37:30,239 --> 00:37:36,000 Speaker 1: of things, what's the biggest issue haunting right now the 574 00:37:36,120 --> 00:37:42,239 Speaker 1: radio industry and what is the most exciting thing in 575 00:37:43,000 --> 00:37:46,440 Speaker 1: the works for the radio industry? So first first question, 576 00:37:48,200 --> 00:37:51,680 Speaker 1: daunt think? So I have to I have to actually 577 00:37:51,760 --> 00:37:54,920 Speaker 1: think about the gen Z thing and the fact that 578 00:37:54,960 --> 00:37:58,840 Speaker 1: we have absolutely zero plan in place as an industry 579 00:37:59,560 --> 00:38:02,480 Speaker 1: and it's really no one's priority that we think about 580 00:38:02,520 --> 00:38:06,160 Speaker 1: these generations that really don't have very much to do 581 00:38:06,200 --> 00:38:08,719 Speaker 1: with radio and aren't just going to come around when 582 00:38:08,719 --> 00:38:11,600 Speaker 1: they're adults. So that's what's keeping me up at night, 583 00:38:11,800 --> 00:38:15,399 Speaker 1: is how are we going to appeal to today's teenagers 584 00:38:15,440 --> 00:38:18,719 Speaker 1: and how can we get young people interested in this 585 00:38:18,760 --> 00:38:21,239 Speaker 1: as a career like we were. So that's my thing. 586 00:38:22,719 --> 00:38:27,399 Speaker 1: I'll be glass half full sales guy. Yeah, I think 587 00:38:27,600 --> 00:38:35,200 Speaker 1: radio has actually made steady slow strides in digital. I think, 588 00:38:35,320 --> 00:38:37,120 Speaker 1: you know, when you look at the revenue and you 589 00:38:37,200 --> 00:38:39,880 Speaker 1: look at the engagement and you begin to look at 590 00:38:39,920 --> 00:38:42,960 Speaker 1: the content, I mean, we're not killing it, but we 591 00:38:43,080 --> 00:38:46,960 Speaker 1: are fixing the plane at thirty five thousand feet I 592 00:38:46,960 --> 00:38:51,560 Speaker 1: think better than we were five years ago. And it's 593 00:38:51,560 --> 00:38:56,319 Speaker 1: not the salvation, but it's clearly that is to me, 594 00:38:56,400 --> 00:39:02,880 Speaker 1: the healthiest thing that's going on right now. Yeah, I 595 00:39:02,920 --> 00:39:06,040 Speaker 1: feel like we have a foothold finally, and that we're 596 00:39:06,080 --> 00:39:10,160 Speaker 1: not like convincing broadcasters that they need to be thinking 597 00:39:10,200 --> 00:39:14,000 Speaker 1: about this. I think they're there. It's just you know, 598 00:39:14,239 --> 00:39:16,560 Speaker 1: some are taken longer to get there than others. And 599 00:39:16,640 --> 00:39:19,959 Speaker 1: it's I mean change is a bitch. I mean it's hard, 600 00:39:21,239 --> 00:39:23,480 Speaker 1: you know, to take organizations that have been kind of 601 00:39:23,480 --> 00:39:27,000 Speaker 1: doing it the same way successfully for decades and all 602 00:39:27,040 --> 00:39:32,240 Speaker 1: of a sudden have to implement entirely new processes. It's difficult, 603 00:39:32,280 --> 00:39:34,239 Speaker 1: But I agree with you. I think I think it's 604 00:39:34,239 --> 00:39:37,560 Speaker 1: getting there. It just took so damn long. Oh my god, 605 00:39:37,600 --> 00:39:40,600 Speaker 1: we had to go a decade of radio shouldn't stream 606 00:39:40,760 --> 00:39:44,239 Speaker 1: and it's like get out. And you know, I mean 607 00:39:44,440 --> 00:39:47,399 Speaker 1: radio as an industry, because it doesn't speak in one 608 00:39:47,480 --> 00:39:53,600 Speaker 1: voice and doesn't collaborate, has missed so many big think opportunities, 609 00:39:53,640 --> 00:39:56,520 Speaker 1: whether it is with the car, you know, and representing 610 00:39:56,600 --> 00:39:59,800 Speaker 1: ourselves to the to the auto industry. I mean, honestly, 611 00:40:00,120 --> 00:40:04,200 Speaker 1: I did, you know, why didn't we invent Pandora? You know, 612 00:40:04,320 --> 00:40:07,920 Speaker 1: why is all this audio stuff happening? Why didn't we 613 00:40:08,040 --> 00:40:10,880 Speaker 1: buy Pandora when they were on their knees? And would 614 00:40:10,960 --> 00:40:13,560 Speaker 1: wouldn't that have been smart? I mean, it's not too late, 615 00:40:13,600 --> 00:40:15,879 Speaker 1: because they're further up there. Actually, I was going to say, 616 00:40:15,920 --> 00:40:19,440 Speaker 1: I mean serious, serious, XM's kind of not done a 617 00:40:19,480 --> 00:40:21,640 Speaker 1: real good job with that. You're right, we could probably 618 00:40:22,239 --> 00:40:24,400 Speaker 1: do an Elon Musk here and pick it up at 619 00:40:24,440 --> 00:40:29,280 Speaker 1: a discount, right, Yeah, you know what, you got any money, bums, 620 00:40:29,320 --> 00:40:32,000 Speaker 1: Maybe we got some pocket change from the casino. Maybe 621 00:40:32,000 --> 00:40:35,319 Speaker 1: I've got the cool link together. Okay, last question, how 622 00:40:35,719 --> 00:40:40,360 Speaker 1: was the Barry Manielo Show? Do you have time for 623 00:40:40,400 --> 00:40:43,640 Speaker 1: a story? Of course, can I thon? Can't smile without 624 00:40:43,680 --> 00:40:48,040 Speaker 1: you in the background. Now listen the very first radio show. 625 00:40:48,360 --> 00:40:52,560 Speaker 1: Rick Sklar, who was the programming guy at w ABC 626 00:40:52,840 --> 00:40:57,160 Speaker 1: and then the ABC group, was on the programming committee 627 00:40:57,200 --> 00:41:01,319 Speaker 1: for the NAB Radio Show and it was Rick's job 628 00:41:01,400 --> 00:41:04,440 Speaker 1: to book the entertainment. And so he booked Barry Manilow. 629 00:41:05,239 --> 00:41:09,320 Speaker 1: And this was in Chicago, and all of us program directors, 630 00:41:09,400 --> 00:41:12,359 Speaker 1: all seven of us, were all rock guys. And Rick 631 00:41:12,440 --> 00:41:14,759 Speaker 1: told us that we had a table right in front 632 00:41:14,840 --> 00:41:19,440 Speaker 1: of the stage and gave us strict instructions. You guys 633 00:41:19,480 --> 00:41:21,880 Speaker 1: are to go. You are not to walk out in 634 00:41:21,920 --> 00:41:24,560 Speaker 1: the middle of the show. You don't have to enjoy 635 00:41:24,680 --> 00:41:27,799 Speaker 1: Barry Manilo, but you have to respect him. And we 636 00:41:27,880 --> 00:41:30,640 Speaker 1: said okay, and we all went to the show, and 637 00:41:30,719 --> 00:41:35,320 Speaker 1: meanwhile Barry Manilo kicked ash. I mean, it was such 638 00:41:35,320 --> 00:41:37,239 Speaker 1: a great show, and you know, it's like one of 639 00:41:37,239 --> 00:41:40,239 Speaker 1: those concerts where you go, I forgot. This guy had 640 00:41:40,280 --> 00:41:43,120 Speaker 1: so many hits and he's such a professional, and the 641 00:41:43,160 --> 00:41:45,799 Speaker 1: girls were pretty I mean, you know, there's a lot 642 00:41:45,800 --> 00:41:49,279 Speaker 1: of scenery. But it actually turned out to be a 643 00:41:49,280 --> 00:41:52,239 Speaker 1: great show. And I hear he still brings it and 644 00:41:52,440 --> 00:41:54,160 Speaker 1: he's here at the West Gate where you are. He 645 00:41:54,280 --> 00:41:57,719 Speaker 1: is here at the Westgate. He did cancel because of 646 00:41:58,000 --> 00:42:00,600 Speaker 1: this COVID thing for a few days he did. I 647 00:42:00,600 --> 00:42:03,600 Speaker 1: didn't know that. Yeah, I was actually I kid you, 648 00:42:03,719 --> 00:42:07,360 Speaker 1: not working on him as a special guest. But it 649 00:42:07,440 --> 00:42:09,799 Speaker 1: didn't come together too bad. That would have been cool. 650 00:42:09,920 --> 00:42:12,200 Speaker 1: He's got better stories than we do. We just have 651 00:42:12,360 --> 00:42:15,680 Speaker 1: radio stories. Yeah. Oh, come on, well listen, this has 652 00:42:15,880 --> 00:42:19,240 Speaker 1: made the trip worthwhile. Now it's gonna be you surped 653 00:42:19,280 --> 00:42:23,920 Speaker 1: later by probably Jim Gaffigan's performance, but this has made 654 00:42:23,920 --> 00:42:26,680 Speaker 1: the trip so far. I'll tell you something. We were 655 00:42:26,719 --> 00:42:29,640 Speaker 1: originally scheduled to be Jim Gaffigan's warm up act on 656 00:42:29,719 --> 00:42:32,600 Speaker 1: the agenda was your panel was supposed to lead into 657 00:42:32,680 --> 00:42:35,240 Speaker 1: Jim Gaffigan. And we're like, no, don't do that too often. 658 00:42:35,239 --> 00:42:38,160 Speaker 1: That would imagine how awful that would be. That would 659 00:42:38,160 --> 00:42:41,000 Speaker 1: be right rough, But Paul's right. They told us, Yeah, 660 00:42:41,120 --> 00:42:44,560 Speaker 1: you guys, go right after Gaffigan and it's like, are 661 00:42:44,600 --> 00:42:48,719 Speaker 1: you kidding? No? Maybe if we went before him, I 662 00:42:48,719 --> 00:42:50,879 Speaker 1: mean I could see us being the opening act that 663 00:42:51,200 --> 00:42:54,880 Speaker 1: people threw stuff at it, but oh right, the efforts 664 00:42:55,360 --> 00:42:58,839 Speaker 1: never Well, guys, thanks for taking a walk here at 665 00:42:58,840 --> 00:43:01,440 Speaker 1: the NAB and VA I guess I look forward to 666 00:43:02,680 --> 00:43:07,319 Speaker 1: episode two with you guys in Birmingham walking the mean 667 00:43:07,400 --> 00:43:09,520 Speaker 1: streets of Birmingham with you. Yeah, you got you got 668 00:43:09,560 --> 00:43:11,600 Speaker 1: to come to town. And meanwhile, all I can wish 669 00:43:11,640 --> 00:43:14,799 Speaker 1: for you, Buzz is is peace, happiness, and I hope 670 00:43:14,840 --> 00:43:17,560 Speaker 1: you don't have too much editing from this. Oh it's perfect. 671 00:43:17,600 --> 00:43:20,439 Speaker 1: And I'll just add one more thing. I really hope 672 00:43:20,520 --> 00:43:25,879 Speaker 1: you get comfortable shoes. Look very comfortable if you're gonna 673 00:43:25,880 --> 00:43:28,440 Speaker 1: be taking a walk, man, it's all about is it comfortable? 674 00:43:29,080 --> 00:43:32,399 Speaker 1: Well him for Meryl's right now, Meryl's Merril's okay. Thanks 675 00:43:32,440 --> 00:43:36,000 Speaker 1: thanks for having those bus. Taking a Walk with Buzznight 676 00:43:36,400 --> 00:43:41,399 Speaker 1: is available on Spotify, Apple Podcasts, or wherever you get 677 00:43:41,400 --> 00:44:48,040 Speaker 1: your podcasts co