1 00:00:03,680 --> 00:00:09,200 Speaker 1: I'm t T and I'm Zakiah and this is Dope Labs. 2 00:00:11,360 --> 00:00:14,600 Speaker 1: Welcome to Dope Labs, a weekly podcast that mixes hardcore 3 00:00:14,680 --> 00:00:17,599 Speaker 1: science with pop culture and a healthy dose of friendship. 4 00:00:21,840 --> 00:00:25,239 Speaker 1: It's Super Bowl Sunday, Oh yes, and I feel like 5 00:00:25,280 --> 00:00:28,360 Speaker 1: it's highly anticipated by a lot of folks, not necessarily me, 6 00:00:28,720 --> 00:00:31,720 Speaker 1: but I am excited for the halftime show. I can't 7 00:00:31,720 --> 00:00:34,480 Speaker 1: say that, yes, bad bunny, Yes, fresh off the heels 8 00:00:34,479 --> 00:00:38,440 Speaker 1: of a Grammy win a year. Oh, It's it's up, 9 00:00:38,520 --> 00:00:40,920 Speaker 1: It's up, It's up. It feels like even if the 10 00:00:40,920 --> 00:00:42,920 Speaker 1: super Bowl isn't for you, it's still for you, like 11 00:00:42,960 --> 00:00:45,479 Speaker 1: if you like the ads, or you're just there for 12 00:00:45,520 --> 00:00:47,760 Speaker 1: the buffalo chicken dip at the party, or even if 13 00:00:47,760 --> 00:00:48,680 Speaker 1: you're just making it alone. 14 00:00:48,760 --> 00:00:48,960 Speaker 2: You know. 15 00:00:50,120 --> 00:00:52,760 Speaker 1: I feel like this year, though, people are already talking 16 00:00:52,760 --> 00:00:54,880 Speaker 1: about the bets who they're betting on, right, and look, 17 00:00:54,880 --> 00:00:57,480 Speaker 1: I just don't remember that as much from the past. Honestly, 18 00:00:57,640 --> 00:00:59,640 Speaker 1: I remember. I don't remember any of that. And it 19 00:00:59,680 --> 00:01:02,960 Speaker 1: feels like the whole betting thing has is like not 20 00:01:03,120 --> 00:01:06,000 Speaker 1: new because people always been betting, but like so in 21 00:01:06,040 --> 00:01:08,520 Speaker 1: your face, that feels like no recent thing, Like I 22 00:01:08,560 --> 00:01:12,119 Speaker 1: even just saw that Kendall Jenner put a million dollars 23 00:01:12,120 --> 00:01:14,920 Speaker 1: on the Patriots. Like, when do we know what the 24 00:01:14,959 --> 00:01:17,440 Speaker 1: celebrities are doing? I know Drake always says every year 25 00:01:17,560 --> 00:01:20,400 Speaker 1: who he always is, but I mean, it just feels 26 00:01:20,440 --> 00:01:23,920 Speaker 1: like so in your face these days. And I think 27 00:01:24,000 --> 00:01:26,000 Speaker 1: because it feels so in your face, you know me, 28 00:01:26,160 --> 00:01:29,720 Speaker 1: I'm like, let's pull out our magnifying glass. I am 29 00:01:29,840 --> 00:01:32,200 Speaker 1: curious about it. So let's go ahead and jump right 30 00:01:32,240 --> 00:01:39,160 Speaker 1: into the recitation. What do we know? Okay? I think 31 00:01:39,200 --> 00:01:42,920 Speaker 1: the first thing that we know is that sports bring 32 00:01:43,040 --> 00:01:46,840 Speaker 1: us together, Like sports is one of the great uniters. 33 00:01:47,160 --> 00:01:50,600 Speaker 1: Whether you have rival teams or you are supporting the 34 00:01:50,640 --> 00:01:54,720 Speaker 1: same team, people love using sports to bring them together. 35 00:01:55,160 --> 00:01:57,320 Speaker 1: We also know that there's a lot of money in sports, 36 00:01:57,320 --> 00:01:59,600 Speaker 1: particularly fantasy sports. Oh my gosh. 37 00:01:59,680 --> 00:01:59,920 Speaker 2: Yes. 38 00:02:00,080 --> 00:02:03,120 Speaker 1: In twenty twenty four, the market was estimated at over 39 00:02:03,280 --> 00:02:07,120 Speaker 1: twenty four million dollars and it's projected to reach over 40 00:02:07,280 --> 00:02:11,560 Speaker 1: fifty five million in twenty thirty. That's huge. I need 41 00:02:11,600 --> 00:02:14,040 Speaker 1: to put my little coins over there, because that feels 42 00:02:14,080 --> 00:02:16,280 Speaker 1: like a lot of growth. And that growth is not 43 00:02:16,360 --> 00:02:19,400 Speaker 1: just limited to fantasy but it also extends to sports 44 00:02:19,440 --> 00:02:23,120 Speaker 1: betting and even prediction markets. Now that gets us right 45 00:02:23,160 --> 00:02:25,640 Speaker 1: up against what we want to write, because that's the 46 00:02:25,680 --> 00:02:28,400 Speaker 1: limit of the things that I do know. So I 47 00:02:28,440 --> 00:02:31,000 Speaker 1: want to know what's the difference between everything, Like I 48 00:02:31,080 --> 00:02:35,560 Speaker 1: hear these words fantasy betting, prediction markets, Like what is 49 00:02:35,600 --> 00:02:39,000 Speaker 1: the difference between all of this? Yeah, like where's the 50 00:02:39,000 --> 00:02:41,720 Speaker 1: best Exactly when does it go from fantasy to being 51 00:02:41,720 --> 00:02:45,960 Speaker 1: a bet or bet to being fantasy? Right? Because I've 52 00:02:45,960 --> 00:02:48,680 Speaker 1: been seeing a lot of players in different leagues. NBA 53 00:02:48,720 --> 00:02:51,799 Speaker 1: has had some controversy, but other these too and their 54 00:02:51,840 --> 00:02:55,200 Speaker 1: players have been like tied up in gambling or sports betting, 55 00:02:55,240 --> 00:02:56,800 Speaker 1: And I'm like, is this something we need to keep 56 00:02:56,840 --> 00:02:58,960 Speaker 1: our eye on? Right? And then it also feels like 57 00:02:59,000 --> 00:03:04,080 Speaker 1: sports betting is everywhere. I see ads for fan duel 58 00:03:04,360 --> 00:03:08,920 Speaker 1: and DraftKings, and I'm not their target audience. I don't 59 00:03:08,919 --> 00:03:12,359 Speaker 1: think because I don't know the first thing about it 60 00:03:12,680 --> 00:03:16,240 Speaker 1: that it's everywhere. I mean, even when they're the sports 61 00:03:16,280 --> 00:03:19,000 Speaker 1: casters are doing their thing, they're talking about the betting, 62 00:03:19,600 --> 00:03:23,880 Speaker 1: Like how has the rise of legalized betting changed sports 63 00:03:24,000 --> 00:03:26,000 Speaker 1: culture and media? I want to know, like what the 64 00:03:26,040 --> 00:03:29,400 Speaker 1: impact is now that it's everywhere? And you know, I 65 00:03:29,440 --> 00:03:31,560 Speaker 1: think we have just the right person to answer those 66 00:03:31,639 --> 00:03:37,240 Speaker 1: questions for us. So let's jump into the dissection. Today's 67 00:03:37,320 --> 00:03:39,080 Speaker 1: expert is Jess Bryant. 68 00:03:39,560 --> 00:03:42,240 Speaker 2: Just Brian. I'm senior editor in Fantasy Sports and Betting 69 00:03:42,280 --> 00:03:42,920 Speaker 2: at the Athletic. 70 00:03:43,400 --> 00:03:45,360 Speaker 1: Now, Jess, we're excited to talk to you because t 71 00:03:45,480 --> 00:03:47,120 Speaker 1: T I did pickskin pick them? But have you ever 72 00:03:47,160 --> 00:03:51,760 Speaker 1: done fantasy sports pigskin pick them? No, I've never done 73 00:03:51,840 --> 00:03:55,400 Speaker 1: fantasy sports. Never. Yeah. Back in grad school, Bj, the 74 00:03:55,440 --> 00:03:57,120 Speaker 1: guy who used to sit behind me was like, you 75 00:03:57,120 --> 00:03:59,200 Speaker 1: can participate in this fantasy sports league with us. All 76 00:03:59,240 --> 00:04:00,600 Speaker 1: you do is pick the win. So I never made 77 00:04:00,640 --> 00:04:03,160 Speaker 1: a full team. Oh, I just picked who I thought 78 00:04:03,160 --> 00:04:05,880 Speaker 1: would win out of the matchups each week. Okay, that 79 00:04:05,920 --> 00:04:08,840 Speaker 1: sounds simple enough, Jess. I mean that's my extent of 80 00:04:08,840 --> 00:04:11,440 Speaker 1: fantasy sports. So does that count? 81 00:04:12,400 --> 00:04:15,080 Speaker 2: I would say, I would say your pigskin pick and 82 00:04:15,120 --> 00:04:18,839 Speaker 2: falls into the category of fantasy sports because. 83 00:04:18,600 --> 00:04:19,119 Speaker 3: You are picking. 84 00:04:19,160 --> 00:04:21,560 Speaker 2: I don't know if you had a pool, did you 85 00:04:21,600 --> 00:04:22,360 Speaker 2: have money. 86 00:04:22,120 --> 00:04:24,000 Speaker 3: Involved in your pigskin? 87 00:04:25,240 --> 00:04:28,840 Speaker 2: Okay, yeah, I mean that's that is one that I 88 00:04:28,880 --> 00:04:31,400 Speaker 2: was really right on the line. And so are the 89 00:04:31,440 --> 00:04:34,800 Speaker 2: March Madness brackets, which for us at the Athletic are 90 00:04:35,279 --> 00:04:38,200 Speaker 2: some of our biggest stories and clicks are just on 91 00:04:38,800 --> 00:04:40,440 Speaker 2: the bracket sheet download. 92 00:04:40,680 --> 00:04:42,480 Speaker 3: It qualifies it as. 93 00:04:42,520 --> 00:04:45,560 Speaker 2: Fantasy, but it isn't traditional fantasy sports, which are more 94 00:04:45,680 --> 00:04:50,200 Speaker 2: rooted in players often than teams. But yeah, it's kind 95 00:04:50,200 --> 00:04:52,240 Speaker 2: of on the line between fantasy and betting. I would say, 96 00:04:52,279 --> 00:04:56,320 Speaker 2: I think fantasy typically you're thinking of a traditional twelve 97 00:04:56,360 --> 00:05:00,479 Speaker 2: team league in any given sport, where you're drafting a 98 00:05:00,600 --> 00:05:03,719 Speaker 2: roster of those individual players. That's what people think of 99 00:05:03,760 --> 00:05:05,600 Speaker 2: when they think of fantasy sports. I would say, you're 100 00:05:05,600 --> 00:05:08,760 Speaker 2: still a rookie with that experience, but or at least 101 00:05:08,800 --> 00:05:11,440 Speaker 2: maybe a second year player or something you know early 102 00:05:11,560 --> 00:05:12,400 Speaker 2: in your career. 103 00:05:12,720 --> 00:05:16,160 Speaker 1: I think my question kind of piggybacks off of that one. 104 00:05:16,360 --> 00:05:20,279 Speaker 1: Now you are participating in fantasy sports, what are you 105 00:05:20,400 --> 00:05:24,320 Speaker 1: doing week to week? Like what skills are you looking for? 106 00:05:24,480 --> 00:05:27,400 Speaker 1: And like what does that look like, you know, from 107 00:05:27,560 --> 00:05:28,279 Speaker 1: game to game. 108 00:05:29,240 --> 00:05:30,680 Speaker 2: I want to first say you can do as little 109 00:05:30,720 --> 00:05:32,760 Speaker 2: or as much as you want, and you don't even 110 00:05:32,800 --> 00:05:34,920 Speaker 2: have to have twelve teams. Like, if you have six 111 00:05:34,960 --> 00:05:36,840 Speaker 2: friends that want to play, you can start a league 112 00:05:36,920 --> 00:05:41,240 Speaker 2: on any platform, Yahoo, ESPN, Sleeper. For the people who 113 00:05:41,320 --> 00:05:44,000 Speaker 2: are a little bit more experienced in it, week to 114 00:05:44,040 --> 00:05:45,760 Speaker 2: week is a lot of research, and a lot of 115 00:05:45,760 --> 00:05:49,920 Speaker 2: people pay premium subscriptions to various websites to do that. 116 00:05:49,960 --> 00:05:52,920 Speaker 2: So Fantasy pros is one that has a lot of 117 00:05:53,000 --> 00:05:57,520 Speaker 2: data and information and consensus rankings. And then we at 118 00:05:57,520 --> 00:06:00,200 Speaker 2: the Athletic have Jake Seely's our ranker, but we also 119 00:06:00,279 --> 00:06:02,839 Speaker 2: have a lot of fantasy experts in the space, and 120 00:06:02,920 --> 00:06:07,960 Speaker 2: you're really researching different stat lines, matchup ratings. 121 00:06:08,839 --> 00:06:10,279 Speaker 3: If it's football, because. 122 00:06:10,080 --> 00:06:11,880 Speaker 2: We're at the end of football season, who is the 123 00:06:12,000 --> 00:06:15,760 Speaker 2: quarterback playing, who are the coverage matchups? Is it a 124 00:06:15,839 --> 00:06:19,400 Speaker 2: given team good against tight ends or wide receivers particularly, 125 00:06:19,480 --> 00:06:21,799 Speaker 2: are they good at the pass rush? Do they stop 126 00:06:21,839 --> 00:06:22,640 Speaker 2: the run well? 127 00:06:23,160 --> 00:06:23,680 Speaker 3: Part one? 128 00:06:23,800 --> 00:06:26,240 Speaker 2: And then like part two, you're looking at once you're 129 00:06:26,440 --> 00:06:28,599 Speaker 2: say four weeks into the season. You can find trends 130 00:06:28,640 --> 00:06:31,599 Speaker 2: with players and how they're playing and what types of 131 00:06:31,640 --> 00:06:35,240 Speaker 2: matchups they're more likely or less likely to do well. 132 00:06:35,400 --> 00:06:37,880 Speaker 2: So there's a lot of research that can go into it. 133 00:06:37,920 --> 00:06:39,600 Speaker 2: And then a lot of fantasy folks that are called 134 00:06:39,600 --> 00:06:43,400 Speaker 2: themselves fantasy experts, who are fantasy experts have multiple teams 135 00:06:43,680 --> 00:06:46,640 Speaker 2: they're playing against experts. A lot of them have their 136 00:06:46,680 --> 00:06:50,680 Speaker 2: own projection models. If they don't have their own projection models. 137 00:06:50,680 --> 00:06:53,840 Speaker 2: They're at least adapting someone else's oftentimes to see what 138 00:06:53,920 --> 00:06:54,480 Speaker 2: they think. 139 00:06:55,080 --> 00:06:59,000 Speaker 1: If you want to win, basically you have to have 140 00:06:59,040 --> 00:07:04,520 Speaker 1: a part time job. I mean, you told me the minimum, 141 00:07:04,520 --> 00:07:06,600 Speaker 1: But if you're really in this thing to win, you 142 00:07:06,680 --> 00:07:09,760 Speaker 1: got to find somebody that's ranking or some model or 143 00:07:09,800 --> 00:07:11,640 Speaker 1: you know, you have to have this information. You have 144 00:07:11,760 --> 00:07:14,600 Speaker 1: to collect the data, you have to analyze it. I'm 145 00:07:14,600 --> 00:07:19,920 Speaker 1: sorry it's giving sciencey for some of this, yes, and 146 00:07:19,960 --> 00:07:22,600 Speaker 1: so I'm curious though, because as much as people say 147 00:07:22,720 --> 00:07:25,520 Speaker 1: they hate math, I'm like, this is giving a lot 148 00:07:25,520 --> 00:07:30,800 Speaker 1: of statistical things I'm curious about, Like what makes people 149 00:07:30,840 --> 00:07:33,440 Speaker 1: stick with fantasy year after year? Like, I know you've 150 00:07:33,480 --> 00:07:36,520 Speaker 1: done some stories just that follow people who are in 151 00:07:36,520 --> 00:07:38,200 Speaker 1: a fantasy sports, but I'm like, this is a lot 152 00:07:38,200 --> 00:07:41,200 Speaker 1: of work. Why are people continuing to show up and 153 00:07:41,240 --> 00:07:41,600 Speaker 1: do this? 154 00:07:42,520 --> 00:07:47,360 Speaker 2: Yeah, I mean, I think the most basic reason is community. 155 00:07:47,360 --> 00:07:50,560 Speaker 2: A lot of people are playing against their friends or coworkers, 156 00:07:52,360 --> 00:07:55,920 Speaker 2: or even if they are in more cemented leagues, people 157 00:07:55,960 --> 00:07:57,920 Speaker 2: that they have met randomly, but I have played with 158 00:07:57,960 --> 00:08:01,200 Speaker 2: for a number of years. I think the community aspect 159 00:08:01,520 --> 00:08:04,239 Speaker 2: is what keeps people coming back. I've talked to groups 160 00:08:04,280 --> 00:08:06,400 Speaker 2: of people who have started leagues just because they want 161 00:08:06,400 --> 00:08:09,680 Speaker 2: to talk to their friends. More so, a group of 162 00:08:09,720 --> 00:08:12,040 Speaker 2: women who did not know like people in their life 163 00:08:12,200 --> 00:08:15,200 Speaker 2: liked sports, but they didn't really enjoy sports. But they 164 00:08:15,200 --> 00:08:18,040 Speaker 2: were all good friends who lived across the country, went 165 00:08:18,080 --> 00:08:20,679 Speaker 2: to college together, wanted to stay in touch. The group 166 00:08:20,760 --> 00:08:22,440 Speaker 2: chats weren't working, and they're like, what if we just 167 00:08:22,440 --> 00:08:25,920 Speaker 2: start this fantasy football league, you know? And that was 168 00:08:25,960 --> 00:08:28,600 Speaker 2: their way of like all season, they're texting back and forth, 169 00:08:28,600 --> 00:08:29,760 Speaker 2: they're being competitive. 170 00:08:29,880 --> 00:08:30,679 Speaker 3: That was a league. 171 00:08:30,680 --> 00:08:32,960 Speaker 2: I think that was free and it was only six people. 172 00:08:33,040 --> 00:08:35,360 Speaker 2: So again, you don't have to have a lot of 173 00:08:35,360 --> 00:08:37,640 Speaker 2: people to play fantasy. You don't have to play for money. 174 00:08:37,720 --> 00:08:40,400 Speaker 1: But what if you actually do like sports and you're 175 00:08:40,760 --> 00:08:43,880 Speaker 1: super competitive and you are following all the teams, like 176 00:08:43,920 --> 00:08:45,600 Speaker 1: I have a cousin in mind, I have a husband 177 00:08:45,600 --> 00:08:46,000 Speaker 1: in mind. 178 00:08:48,400 --> 00:08:52,280 Speaker 2: If you are a sports fan, it adds another level 179 00:08:52,360 --> 00:08:55,400 Speaker 2: to the game. So if you think about watching a 180 00:08:55,400 --> 00:08:58,200 Speaker 2: football game and maybe the score is like seven to 181 00:08:58,280 --> 00:09:00,440 Speaker 2: zero at halftime and it feels kind of like a 182 00:09:00,480 --> 00:09:04,160 Speaker 2: boring game with very little movement, if you're invested in 183 00:09:04,200 --> 00:09:06,840 Speaker 2: a player in that game, the second half is still 184 00:09:06,920 --> 00:09:09,520 Speaker 2: very meaningful to you you know, and how that player 185 00:09:09,679 --> 00:09:12,080 Speaker 2: plays is meaningful to you. So I think once people 186 00:09:12,200 --> 00:09:16,320 Speaker 2: do get into it, they enjoy that they're able to 187 00:09:16,360 --> 00:09:19,400 Speaker 2: watch multiple games and those games become more meaningful, and 188 00:09:19,440 --> 00:09:21,800 Speaker 2: then they become a bigger fan of like the sport 189 00:09:21,840 --> 00:09:23,959 Speaker 2: and not just their team. And I think that's another 190 00:09:24,000 --> 00:09:27,920 Speaker 2: reason people come back outside of the competitive nature. And 191 00:09:27,960 --> 00:09:32,080 Speaker 2: then obviously experts who do use it as a career 192 00:09:32,240 --> 00:09:35,680 Speaker 2: or sometimes part time, sometimes full time. I know somebody 193 00:09:35,679 --> 00:09:39,160 Speaker 2: who left a freelance writing job to enter a high 194 00:09:39,160 --> 00:09:41,640 Speaker 2: stakes fantasy basketball draft. 195 00:09:42,120 --> 00:09:43,000 Speaker 1: What's the winnings? 196 00:09:43,800 --> 00:09:46,680 Speaker 2: So I don't want to be exact on this, but 197 00:09:46,800 --> 00:09:49,160 Speaker 2: my memory is that it was a sixty thousand dollars 198 00:09:49,320 --> 00:09:52,720 Speaker 2: entry fee for this particular person, and then the winnings 199 00:09:53,160 --> 00:09:56,920 Speaker 2: can be over a million because he plays with a 200 00:09:57,040 --> 00:10:00,679 Speaker 2: larger league and more people and more experts. So he 201 00:10:00,720 --> 00:10:06,360 Speaker 2: and another person teamed up to run this fantasy basketball team. 202 00:10:06,760 --> 00:10:11,120 Speaker 2: And it's so much work, so they are doing it 203 00:10:11,200 --> 00:10:14,000 Speaker 2: full time, committing their resources and like you said, doing 204 00:10:14,040 --> 00:10:15,840 Speaker 2: a lot of math and a lot of research. 205 00:10:17,120 --> 00:10:19,480 Speaker 1: All this makes me think of Moneyball. Have y'all seen 206 00:10:19,480 --> 00:10:20,600 Speaker 1: that movie? 207 00:10:21,320 --> 00:10:23,240 Speaker 2: Oh my gosh, I did a long time ago. 208 00:10:23,480 --> 00:10:27,520 Speaker 1: So it's about a baseball team. It's about the Oakland Athletics, 209 00:10:27,559 --> 00:10:30,840 Speaker 1: and they were struggling and then they hired somebody on 210 00:10:31,600 --> 00:10:35,240 Speaker 1: to do like all of these statistics about like which pictures, 211 00:10:35,280 --> 00:10:37,240 Speaker 1: all these things like that, and then they were able 212 00:10:37,280 --> 00:10:40,040 Speaker 1: to you know, course correct and ended up doing really well. 213 00:10:40,720 --> 00:10:43,200 Speaker 1: But it was like a brand new strategy. So I 214 00:10:43,200 --> 00:10:45,439 Speaker 1: guess that impacts like how people would be able to 215 00:10:45,480 --> 00:10:48,440 Speaker 1: bet if all of a sudden you have this pivot 216 00:10:48,440 --> 00:10:52,080 Speaker 1: in how well your team is doing. But if we're 217 00:10:52,120 --> 00:10:58,160 Speaker 1: thinking of fantasy and gambling, do those circles just overlap? 218 00:10:58,280 --> 00:11:04,240 Speaker 1: It's fantasymbling is gambling fantasy? What is the distinction between 219 00:11:04,360 --> 00:11:04,640 Speaker 1: the two? 220 00:11:05,600 --> 00:11:06,160 Speaker 3: By nature? 221 00:11:06,200 --> 00:11:10,800 Speaker 2: If you're entering money and then hoping to win, that's gambling. 222 00:11:11,320 --> 00:11:14,880 Speaker 2: But when you enter in fantasy, you're entering against other people, 223 00:11:14,960 --> 00:11:16,920 Speaker 2: and you don't have to have like the best players. 224 00:11:16,960 --> 00:11:20,800 Speaker 2: You just have to have the players that are relatively 225 00:11:20,880 --> 00:11:24,080 Speaker 2: the best, like relatively the best lineup. But in betting, 226 00:11:24,120 --> 00:11:27,720 Speaker 2: you're not competing against others. When you're betting, you're playing 227 00:11:27,760 --> 00:11:31,640 Speaker 2: against the house. They're statistical models, their algorithms, their proprietary 228 00:11:31,720 --> 00:11:36,520 Speaker 2: systems are incredible. I mean, fantasy players could look at 229 00:11:36,600 --> 00:11:42,679 Speaker 2: betting sites at MGM, DraftKings, FanDuel and see what the 230 00:11:42,720 --> 00:11:45,120 Speaker 2: lines are and what some of the player proposition bets 231 00:11:45,160 --> 00:11:48,680 Speaker 2: are and actually probably help inform their fantasy lineup. But 232 00:11:49,240 --> 00:11:51,360 Speaker 2: you know, the house does all of this research to win, 233 00:11:51,880 --> 00:11:56,280 Speaker 2: so you're already at a disadvantage, right, because they're going 234 00:11:56,320 --> 00:11:59,560 Speaker 2: to win. That's why they're multimillion dollar businesses, whereas in 235 00:11:59,640 --> 00:12:03,360 Speaker 2: fantasy is still I think gambling, but with I don't know, 236 00:12:03,400 --> 00:12:05,480 Speaker 2: with a little bit more level of a playing field 237 00:12:05,640 --> 00:12:08,240 Speaker 2: and yeah, a different overall strategy. 238 00:12:23,360 --> 00:12:26,079 Speaker 1: Do players pay attention to their fantasy stuff? Because I 239 00:12:26,080 --> 00:12:28,240 Speaker 1: feel like this would affect myself a Steve. If somebody 240 00:12:28,360 --> 00:12:31,880 Speaker 1: was like, get Tt off that team, you need to 241 00:12:31,880 --> 00:12:36,040 Speaker 1: put Zaki in as quarterback. TT sucks, I'm like, oh 242 00:12:36,080 --> 00:12:36,520 Speaker 1: my god. 243 00:12:38,400 --> 00:12:40,679 Speaker 2: Yeah, and I think there are huge problems with it. 244 00:12:41,640 --> 00:12:46,040 Speaker 2: So players pay attention on accident. A lot of times, 245 00:12:46,200 --> 00:12:48,640 Speaker 2: if they don't do well or if they're injured, they 246 00:12:48,760 --> 00:12:51,920 Speaker 2: might hear from fantasy players even more so better. 247 00:12:52,280 --> 00:12:53,920 Speaker 3: A lot of them don't love it. 248 00:12:54,360 --> 00:12:58,440 Speaker 2: Because the value isn't placed on them as like a 249 00:12:58,520 --> 00:13:01,920 Speaker 2: human right, which they would love to be humanized more. 250 00:13:02,160 --> 00:13:07,040 Speaker 2: In sports, each player we typically dehumanize them and Myriya 251 00:13:07,040 --> 00:13:10,360 Speaker 2: out of ways, but so it kind of dehumanizes them, 252 00:13:10,360 --> 00:13:12,400 Speaker 2: and when they're injured, it's about, oh, who can we 253 00:13:12,440 --> 00:13:15,880 Speaker 2: replace this person with, not like can you imagine. 254 00:13:15,480 --> 00:13:16,120 Speaker 1: What will soon? 255 00:13:16,760 --> 00:13:22,160 Speaker 2: Like right, I think they're often paying attention out of 256 00:13:22,200 --> 00:13:25,520 Speaker 2: like self preservation and responding to how the fantasy sports 257 00:13:25,520 --> 00:13:26,440 Speaker 2: have impacted the game. 258 00:13:26,720 --> 00:13:29,080 Speaker 1: When you were talking about the auction league, I was like, 259 00:13:29,320 --> 00:13:33,640 Speaker 1: this sounds terrible. Valuing people at different mouths and putting 260 00:13:33,679 --> 00:13:34,839 Speaker 1: a team together. 261 00:13:34,600 --> 00:13:37,400 Speaker 2: When we write or and when I edit, myself and 262 00:13:37,440 --> 00:13:40,240 Speaker 2: the folks on our editorial staff are always trying to 263 00:13:41,240 --> 00:13:45,439 Speaker 2: veer away from like who do you own on your team, 264 00:13:45,880 --> 00:13:48,840 Speaker 2: like just making sure the language doesn't own or purchase 265 00:13:49,000 --> 00:13:52,920 Speaker 2: or buy or you know, to your point about auction leagues, 266 00:13:53,000 --> 00:13:54,720 Speaker 2: like we do try to pay attention to the language 267 00:13:54,720 --> 00:13:59,760 Speaker 2: of that, but inevitably, I you know, like you're saying 268 00:14:00,000 --> 00:14:05,040 Speaker 2: auction links, there's this purchasing aspect and evaluation of people 269 00:14:05,480 --> 00:14:06,360 Speaker 2: into dollar amounts. 270 00:14:06,440 --> 00:14:07,120 Speaker 3: Yeah, that's real. 271 00:14:07,400 --> 00:14:10,640 Speaker 1: This was making me think a little bit about this 272 00:14:10,800 --> 00:14:14,120 Speaker 1: control element, which it feels like a lot of this 273 00:14:14,280 --> 00:14:16,080 Speaker 1: is the ability to control who's Like when we were 274 00:14:16,080 --> 00:14:19,200 Speaker 1: talking about replacing people, if they get injured. And it's 275 00:14:19,240 --> 00:14:21,880 Speaker 1: also making me think about that book by Christopher Mems 276 00:14:22,000 --> 00:14:25,080 Speaker 1: Arriving Today. Arriving Today, there's a book by Christopher Mems 277 00:14:25,080 --> 00:14:28,480 Speaker 1: who writes for the Journal, and it makes me think 278 00:14:28,520 --> 00:14:32,600 Speaker 1: about like the changing workforce, where we were trying to 279 00:14:32,600 --> 00:14:35,120 Speaker 1: get people to perform against metrics and to be faster, 280 00:14:35,440 --> 00:14:37,720 Speaker 1: and it feels like a little bit of that is 281 00:14:37,800 --> 00:14:39,200 Speaker 1: in the fantasy world. 282 00:14:39,520 --> 00:14:41,720 Speaker 2: Oh yeah, I think there's not a lot out on 283 00:14:41,840 --> 00:14:46,520 Speaker 2: some of these human elements around fantasy sports, or like 284 00:14:46,600 --> 00:14:49,360 Speaker 2: I said, like the humanization of players. I mean a 285 00:14:49,400 --> 00:14:51,600 Speaker 2: lot of it is like the illusion of it, because 286 00:14:51,640 --> 00:14:54,520 Speaker 2: you have no say in these players' lives. They are 287 00:14:54,520 --> 00:14:58,080 Speaker 2: not working for you. But it gives the illusion of control. 288 00:14:58,120 --> 00:15:00,520 Speaker 2: And that's one of the reasons people like fantasy sports 289 00:15:00,560 --> 00:15:03,600 Speaker 2: compared to betting, is like it gives you the illusion 290 00:15:03,680 --> 00:15:06,000 Speaker 2: of managing a team. It gives you the illusion of 291 00:15:06,440 --> 00:15:09,480 Speaker 2: fairness and like if you do well enough, then you, 292 00:15:09,520 --> 00:15:13,320 Speaker 2: as a good manager, will succeed, and that can give 293 00:15:13,400 --> 00:15:17,200 Speaker 2: people confidence or maybe it can give people arrogance. But 294 00:15:17,640 --> 00:15:22,200 Speaker 2: certainly I think in folks minds, they are managing a team, 295 00:15:22,280 --> 00:15:26,240 Speaker 2: they have control. That's what inspires them in some ways 296 00:15:26,360 --> 00:15:27,520 Speaker 2: or keeps them playing. 297 00:15:28,120 --> 00:15:29,600 Speaker 3: I think in. 298 00:15:29,480 --> 00:15:33,880 Speaker 2: Sports, across sports and all arenas, we have all of 299 00:15:33,920 --> 00:15:38,520 Speaker 2: these issues of control and workforce when you look at ownerships, 300 00:15:38,920 --> 00:15:43,720 Speaker 2: racial demographics, players, racial demographics, et cetera, and thinking about 301 00:15:43,800 --> 00:15:47,400 Speaker 2: how the owners and managers make decisions the rules that 302 00:15:47,480 --> 00:15:49,720 Speaker 2: they have to follow versus the rules that players have 303 00:15:49,800 --> 00:15:54,360 Speaker 2: to follow. Even in betting, the leagues obviously make a 304 00:15:54,360 --> 00:15:57,720 Speaker 2: lot of money off of betting, a lot of money 305 00:15:58,000 --> 00:16:01,960 Speaker 2: off of betting, and yet are penalized for betting players 306 00:16:01,960 --> 00:16:05,200 Speaker 2: who have less money than those corporations. And of course 307 00:16:05,360 --> 00:16:07,360 Speaker 2: you have to keep legitimacy in the game, and you 308 00:16:07,400 --> 00:16:09,240 Speaker 2: have to keep your game legitimate, and so there have 309 00:16:09,320 --> 00:16:12,720 Speaker 2: to be repercussions I suppose for betting. But it is 310 00:16:12,760 --> 00:16:15,960 Speaker 2: a sort of this idea of like, we can profit 311 00:16:16,040 --> 00:16:16,960 Speaker 2: from it, but you can't. 312 00:16:17,240 --> 00:16:18,480 Speaker 1: How do they make that money? 313 00:16:18,720 --> 00:16:23,040 Speaker 2: Advertisements? You know, a lot of it's advertisement sponsorships. That 314 00:16:23,080 --> 00:16:26,280 Speaker 2: the betting houses do have money, a lot of it, 315 00:16:26,320 --> 00:16:28,880 Speaker 2: and they do inject it into the sports space because 316 00:16:28,880 --> 00:16:33,200 Speaker 2: that's where you know, primary betting happens or on happens. 317 00:16:33,360 --> 00:16:36,160 Speaker 1: Okay, we've talked fantasy and we've talked to sports betting 318 00:16:36,400 --> 00:16:40,600 Speaker 1: fantasy is basically being relatively better than the other people 319 00:16:40,640 --> 00:16:45,360 Speaker 1: you're competing against, and betting is being absolutely right against 320 00:16:45,440 --> 00:16:50,000 Speaker 1: a well researched organization. Betting and fantasy are different, but 321 00:16:50,080 --> 00:16:53,480 Speaker 1: the legislation has them tied together. When I was looking 322 00:16:53,480 --> 00:16:58,520 Speaker 1: at the connection between fantasy and basically sports betting, particularly 323 00:16:58,560 --> 00:17:00,680 Speaker 1: like on your phone, I was looking in two thousand 324 00:17:00,680 --> 00:17:04,040 Speaker 1: and six the Unlawful Internet Gambling Enforcement Act, which was 325 00:17:04,080 --> 00:17:08,639 Speaker 1: targeting unlawful Internet gambling, but that explicitly carved out a 326 00:17:08,680 --> 00:17:11,760 Speaker 1: space for fantasy sports, and that said that you have 327 00:17:11,840 --> 00:17:14,399 Speaker 1: to be using skills. You've already defined what skills are 328 00:17:14,400 --> 00:17:17,919 Speaker 1: required for fantasy sports. I don't have them. I do 329 00:17:18,000 --> 00:17:19,920 Speaker 1: have them, but I don't know that I've used them. 330 00:17:20,200 --> 00:17:22,840 Speaker 1: I've used them to predict experimental results. 331 00:17:22,920 --> 00:17:26,639 Speaker 2: Not I'm just about to say you have them, and 332 00:17:27,480 --> 00:17:30,879 Speaker 2: I'm sure, actually you could create an amazing model, you know, 333 00:17:30,960 --> 00:17:31,960 Speaker 2: and I'd love to see that. 334 00:17:32,840 --> 00:17:36,000 Speaker 1: Yeah, but I but I'm curious. You know, it feels 335 00:17:36,040 --> 00:17:39,280 Speaker 1: like sports betting was kind of dampered down there, but 336 00:17:39,320 --> 00:17:41,960 Speaker 1: then we had fan duel and DraftKings, and now it 337 00:17:42,080 --> 00:17:45,240 Speaker 1: just feels like sports betting has gotten so much bigger, 338 00:17:45,280 --> 00:17:46,480 Speaker 1: And I'm like how did that happen? 339 00:17:46,600 --> 00:17:52,080 Speaker 2: Yeah, so, states historically have regulated sports betting and the 340 00:17:52,119 --> 00:17:54,679 Speaker 2: control of like sports betting, legislation is in the state's 341 00:17:54,720 --> 00:17:59,080 Speaker 2: hands until recent so we're at California and Texas, it's 342 00:17:59,080 --> 00:18:01,880 Speaker 2: illegal to beout on sports as an example. 343 00:18:02,400 --> 00:18:04,240 Speaker 3: But prediction markets, which. 344 00:18:04,040 --> 00:18:07,199 Speaker 2: Are new to sports, I mean, they've existed for a 345 00:18:07,280 --> 00:18:11,439 Speaker 2: very long time, over a century, but lately there have 346 00:18:11,520 --> 00:18:13,640 Speaker 2: been startups. I don't know if you've heard of Calshi 347 00:18:13,720 --> 00:18:17,400 Speaker 2: or poly market. Yes, so Polymarket and Calsha are two 348 00:18:17,520 --> 00:18:20,480 Speaker 2: new prediction market apps that have launched and they're doing 349 00:18:20,520 --> 00:18:24,880 Speaker 2: incredibly well. And in December mid and late December, fan 350 00:18:24,960 --> 00:18:29,160 Speaker 2: Duel and DraftKings ended up also creating a prediction markets 351 00:18:29,240 --> 00:18:32,439 Speaker 2: app that is separate from the typical app, and really 352 00:18:32,440 --> 00:18:36,760 Speaker 2: they're trying to target Texas and California. Those are two 353 00:18:36,760 --> 00:18:40,240 Speaker 2: big markets that don't allow sports betting. Whereas sports betting 354 00:18:40,359 --> 00:18:45,000 Speaker 2: is monitored by the statewide legislation, these prediction markets, which 355 00:18:45,320 --> 00:18:50,000 Speaker 2: are different because like fantasy, you're actually only competing against 356 00:18:50,119 --> 00:18:53,200 Speaker 2: other individuals, but you could be competing against super users 357 00:18:53,240 --> 00:18:56,119 Speaker 2: you know which there are, but you're still competing against 358 00:18:56,160 --> 00:18:59,439 Speaker 2: other individuals, and the companies make their money off of 359 00:18:59,480 --> 00:19:04,280 Speaker 2: transaction fees and commissions versus the actual cash that's invested, 360 00:19:04,760 --> 00:19:07,800 Speaker 2: and those are run by the federal government. Donald Trump 361 00:19:07,840 --> 00:19:10,520 Speaker 2: Junior is an advisor on the board of both Calshi 362 00:19:10,720 --> 00:19:14,159 Speaker 2: and poly Market, And like I said, the prediction markets 363 00:19:14,160 --> 00:19:17,000 Speaker 2: are controlled by the federal government versus the state government. 364 00:19:17,400 --> 00:19:19,919 Speaker 1: Is that even legal? Well, first aside out to the 365 00:19:19,920 --> 00:19:23,439 Speaker 1: one degree removed from power with you know Trump Junior 366 00:19:23,840 --> 00:19:25,960 Speaker 1: being on the board of both of those companies. But 367 00:19:26,040 --> 00:19:30,520 Speaker 1: are these sites legal and does prediction market betting have regulations? 368 00:19:30,600 --> 00:19:35,560 Speaker 2: So these are legal and there's some regulation, but not much. 369 00:19:35,600 --> 00:19:41,720 Speaker 2: You can pretty much bet live on anything from you know, 370 00:19:42,040 --> 00:19:45,399 Speaker 2: which team will win a game, or whether a certain 371 00:19:45,400 --> 00:19:48,320 Speaker 2: player will have a certain amount of receiving yards, or 372 00:19:49,400 --> 00:19:53,280 Speaker 2: will the Seahawks win the Super Bowl too? Will Hamnet 373 00:19:53,280 --> 00:19:54,080 Speaker 2: win Best picture? 374 00:19:54,320 --> 00:19:58,080 Speaker 1: Right? I feel like one day prediction markets were just everywhere, 375 00:19:58,160 --> 00:20:00,560 Speaker 1: though where did they come I'm from. 376 00:20:00,680 --> 00:20:04,320 Speaker 2: They became popular or more known during the twenty twenty 377 00:20:04,320 --> 00:20:07,840 Speaker 2: four election because you were able to bet on the 378 00:20:07,880 --> 00:20:08,919 Speaker 2: result of the election. 379 00:20:22,920 --> 00:20:25,040 Speaker 1: So these prediction markets have come up quite a bit 380 00:20:25,440 --> 00:20:27,560 Speaker 1: for us, and just in some things we've been working on. 381 00:20:27,680 --> 00:20:31,800 Speaker 1: We just interviewed a music critic and cultural writer Sidney Madden, 382 00:20:31,920 --> 00:20:34,280 Speaker 1: and she was talking to us about the Grammys, and 383 00:20:34,359 --> 00:20:38,240 Speaker 1: she kept saying, don't bet based on what I'm saying. 384 00:20:38,880 --> 00:20:42,080 Speaker 1: And I was like, are people really betting on the Grammys? 385 00:20:42,080 --> 00:20:44,400 Speaker 1: Like I might say to teach, you know, like I 386 00:20:44,440 --> 00:20:48,160 Speaker 1: bet this person's not gonna win. But she was like, no, 387 00:20:48,200 --> 00:20:50,000 Speaker 1: people are betting on these things. And so it seems 388 00:20:50,040 --> 00:20:51,920 Speaker 1: like the prediction market is the place where you can 389 00:20:51,960 --> 00:20:56,760 Speaker 1: bet on these types of outcomes. I remember even recently, 390 00:20:56,840 --> 00:20:59,840 Speaker 1: like people were betting on whether or not your president 391 00:20:59,880 --> 00:21:02,760 Speaker 1: was going to say certain phrases in his speeches and 392 00:21:02,840 --> 00:21:06,159 Speaker 1: how many times. Pew Research in the past couple of 393 00:21:06,240 --> 00:21:09,800 Speaker 1: months just released this survey data asking people like, what 394 00:21:09,840 --> 00:21:12,280 Speaker 1: do they think about sports betting? How many people are 395 00:21:12,280 --> 00:21:15,480 Speaker 1: betting on sports? Twenty two percent of people they surveyed 396 00:21:15,520 --> 00:21:17,840 Speaker 1: are betting on sports. That's at least one in five. 397 00:21:19,760 --> 00:21:23,400 Speaker 1: But interestingly, forty three percent of people that they surveyed 398 00:21:23,600 --> 00:21:25,480 Speaker 1: said they think sports betting is not a good thing 399 00:21:25,520 --> 00:21:30,959 Speaker 1: for sports. And I was like, so are those mutually 400 00:21:30,960 --> 00:21:34,400 Speaker 1: exclusively I don't know right, or are you like saying 401 00:21:34,440 --> 00:21:37,720 Speaker 1: I don't realize I can make a little bit of 402 00:21:37,720 --> 00:21:40,240 Speaker 1: money so I'm here, I'm here. Yeah, what's been the 403 00:21:40,280 --> 00:21:43,240 Speaker 1: sentiment among you and your colleagues in the sports world. 404 00:21:43,680 --> 00:21:46,400 Speaker 2: Yeah, so a couple of my colleagues spoke to Calshit 405 00:21:46,840 --> 00:21:49,920 Speaker 2: and they said that ninety percent of future is betting predicting. 406 00:21:49,960 --> 00:21:54,280 Speaker 2: The production markets are on sporting events ninety percent or 407 00:21:54,320 --> 00:21:57,439 Speaker 2: on sporting events. So obviously that's relevant to us. And 408 00:21:57,480 --> 00:21:59,879 Speaker 2: then in terms of twenty three percent of betting and 409 00:22:00,119 --> 00:22:02,760 Speaker 2: forty two percent of people being against them, it actually 410 00:22:02,800 --> 00:22:05,480 Speaker 2: makes sense just based on what we see as responses 411 00:22:05,520 --> 00:22:08,600 Speaker 2: to some of our content. But also there is this 412 00:22:09,200 --> 00:22:12,960 Speaker 2: getting back to the legislation. There is the Safe Bet Act, 413 00:22:13,040 --> 00:22:16,439 Speaker 2: which was reintroduced this year twenty five twenty six, that 414 00:22:16,920 --> 00:22:21,080 Speaker 2: is trying to propose to limit betting advertisement during games 415 00:22:21,119 --> 00:22:24,320 Speaker 2: and prohibit AI driven micro betting, so betting on if 416 00:22:24,320 --> 00:22:27,120 Speaker 2: somebody's going to throw a fast pitch or a curve ball. 417 00:22:27,760 --> 00:22:29,720 Speaker 2: But there's this other thing that they kind of called 418 00:22:29,720 --> 00:22:33,680 Speaker 2: a nuclear option, which is if you are an individual 419 00:22:33,800 --> 00:22:37,680 Speaker 2: better and you think you have a problem, you can 420 00:22:37,720 --> 00:22:42,200 Speaker 2: file a formal request with the government. And obviously we're 421 00:22:42,200 --> 00:22:45,800 Speaker 2: in a time of different people trusting our government in 422 00:22:45,880 --> 00:22:49,879 Speaker 2: different ways, but theoretically In this bill, you can submit 423 00:22:49,920 --> 00:22:52,480 Speaker 2: a request to the government, a formal request that says, 424 00:22:52,520 --> 00:22:55,000 Speaker 2: I would like to stop betting. Please take my name 425 00:22:55,080 --> 00:22:58,720 Speaker 2: off of like every list. Please make sure that if 426 00:22:58,760 --> 00:23:04,200 Speaker 2: I bet, you arrest me. If I bet, you will 427 00:23:04,200 --> 00:23:07,560 Speaker 2: take away any winnings I get. And it's a contract 428 00:23:07,600 --> 00:23:12,560 Speaker 2: almost that says that the person is submitting saying I 429 00:23:12,600 --> 00:23:16,040 Speaker 2: feel like I have a gambling problem, and so to 430 00:23:16,119 --> 00:23:19,200 Speaker 2: cut myself off. I know if I send this formal request, 431 00:23:19,280 --> 00:23:22,040 Speaker 2: I won't bet. Now we know how addiction works. 432 00:23:22,440 --> 00:23:25,400 Speaker 1: Yeah, we spoke to an expert about addiction a few 433 00:23:25,480 --> 00:23:28,720 Speaker 1: labs ago, and across the board, no matter the level 434 00:23:29,119 --> 00:23:33,040 Speaker 1: or substance that you're addicted to, relapse rates are high, 435 00:23:33,520 --> 00:23:35,119 Speaker 1: especially in the first few years. 436 00:23:35,400 --> 00:23:38,600 Speaker 2: And so I feel like this is a very potentially 437 00:23:38,680 --> 00:23:41,640 Speaker 2: dangerous rule and doesn't work on harm reduction. I think 438 00:23:41,680 --> 00:23:43,399 Speaker 2: there's a lot of work to be done there. And 439 00:23:43,440 --> 00:23:46,280 Speaker 2: I also don't think with this administration and how much 440 00:23:46,320 --> 00:23:49,920 Speaker 2: they support prediction markets and betting generally, that we're going 441 00:23:50,000 --> 00:23:52,800 Speaker 2: to be seeing much regulation in that way, or that 442 00:23:52,800 --> 00:23:56,120 Speaker 2: that bill would get through. But yeah, so I think 443 00:23:56,160 --> 00:23:58,280 Speaker 2: that there are people who probably think betting is bad 444 00:23:58,320 --> 00:24:01,639 Speaker 2: who also participate in this, and I think a self 445 00:24:01,720 --> 00:24:04,840 Speaker 2: exclusion list, you can put yourself on the self exclusion list. 446 00:24:05,160 --> 00:24:07,640 Speaker 1: I think multiple things can be true, like I would 447 00:24:07,640 --> 00:24:11,080 Speaker 1: want to be excluded, but I also feel like saying 448 00:24:11,200 --> 00:24:15,879 Speaker 1: arrest me is a step too far. Not me. No, yeah, 449 00:24:16,119 --> 00:24:21,119 Speaker 1: I'm sorry. But I wonder if these private organizations do 450 00:24:21,160 --> 00:24:23,440 Speaker 1: they have the ability to keep up with what's going on. 451 00:24:23,600 --> 00:24:28,200 Speaker 1: I've been seeing players popping up with some betting activity, 452 00:24:29,160 --> 00:24:31,080 Speaker 1: and it's not I think people think it's just basketball. 453 00:24:31,119 --> 00:24:33,240 Speaker 1: It's not just basketball. I've seen this in a lot 454 00:24:33,280 --> 00:24:34,000 Speaker 1: of other sports. 455 00:24:34,080 --> 00:24:36,280 Speaker 2: Yeah, there have been a couple things that have been done. 456 00:24:36,440 --> 00:24:38,920 Speaker 2: It is across the board, but starting just with the NBA, 457 00:24:38,960 --> 00:24:41,960 Speaker 2: because they actually did make some changes based on what 458 00:24:42,040 --> 00:24:45,600 Speaker 2: was happening two way players and people on ten day contracts, 459 00:24:45,640 --> 00:24:47,359 Speaker 2: so folks coming up from the G League. 460 00:24:47,800 --> 00:24:50,400 Speaker 3: They've worked with betting. 461 00:24:50,280 --> 00:24:54,680 Speaker 2: Partners like these apps that we're talking about. They've partnered 462 00:24:54,840 --> 00:24:59,600 Speaker 2: and taken away player propositions, so bets on a player's 463 00:24:59,600 --> 00:25:03,720 Speaker 2: perform over under. Does Lebron James score over under twenty 464 00:25:03,800 --> 00:25:06,760 Speaker 2: three point five points per game? You know? Okay, just 465 00:25:06,880 --> 00:25:10,439 Speaker 2: Tray Young score over nineteen points per game? For you 466 00:25:10,520 --> 00:25:17,280 Speaker 2: Atlanta folks, you know he's gone now, but but those 467 00:25:17,359 --> 00:25:20,280 Speaker 2: are prop bets. How many is he going to score 468 00:25:20,320 --> 00:25:23,520 Speaker 2: over under this amount assists? Will so and so have 469 00:25:23,800 --> 00:25:26,560 Speaker 2: over under five assists. So what they've done is they 470 00:25:26,840 --> 00:25:30,040 Speaker 2: partnered with the sites and apps, the law betting and said, 471 00:25:30,160 --> 00:25:32,840 Speaker 2: we need to figure out something together where props for 472 00:25:32,960 --> 00:25:35,520 Speaker 2: players who are on ten day contracts or two way 473 00:25:35,560 --> 00:25:38,520 Speaker 2: contracts with a G league cannot be better on. And 474 00:25:38,560 --> 00:25:42,000 Speaker 2: that's because those players are making far less money than 475 00:25:42,040 --> 00:25:44,840 Speaker 2: the players who are in the league, and they are 476 00:25:45,080 --> 00:25:49,200 Speaker 2: higher risk of being tempted to make additional money. And 477 00:25:49,600 --> 00:25:52,320 Speaker 2: actually the restriction is only on the under So the 478 00:25:52,400 --> 00:25:54,639 Speaker 2: thing you can control more is the under verse. You know, 479 00:25:55,080 --> 00:25:57,679 Speaker 2: they're not going to try as hard exactly, so it 480 00:25:57,760 --> 00:26:01,240 Speaker 2: limits that. So that's one thing that's been But they 481 00:26:01,280 --> 00:26:05,760 Speaker 2: have to work in partnership with the betting organizations and 482 00:26:06,119 --> 00:26:10,760 Speaker 2: that's hard. So this year many states have banned prop 483 00:26:10,840 --> 00:26:14,919 Speaker 2: bets on individual college athletes, but for a different reason, 484 00:26:15,440 --> 00:26:18,360 Speaker 2: and that's to prevent harassment. 485 00:26:18,600 --> 00:26:19,080 Speaker 1: Gosh. 486 00:26:19,160 --> 00:26:22,639 Speaker 2: Yeah, So earlier I talked about fantasy sports and players 487 00:26:22,720 --> 00:26:25,240 Speaker 2: being injured and not feeling humanized. Well, it gets worse 488 00:26:25,280 --> 00:26:28,640 Speaker 2: than betting because people are losing money on a player's 489 00:26:28,720 --> 00:26:31,880 Speaker 2: poor performance, sometimes a lot of money. 490 00:26:32,320 --> 00:26:35,320 Speaker 3: And what will happen is they will. 491 00:26:35,080 --> 00:26:38,040 Speaker 2: And obviously this is not every better, but you know 492 00:26:38,320 --> 00:26:41,680 Speaker 2: a few will, and more than a few because it's 493 00:26:41,720 --> 00:26:46,320 Speaker 2: a movement, but people will harass the athletes. Death threats 494 00:26:46,320 --> 00:26:49,840 Speaker 2: have been sent to athletes who have not scored up 495 00:26:49,880 --> 00:26:52,679 Speaker 2: to the level that somebody thought they should. So they've 496 00:26:52,840 --> 00:26:58,600 Speaker 2: encountered death threats, constant social media bullying dms, etc. And 497 00:26:58,640 --> 00:27:01,840 Speaker 2: even in person interaction at games, people will yell at them. 498 00:27:01,880 --> 00:27:04,680 Speaker 2: And it's gotten so out of control that in college 499 00:27:04,680 --> 00:27:09,600 Speaker 2: sports some states have banned player propts on college athletes 500 00:27:10,040 --> 00:27:18,199 Speaker 2: many states, so the harassment has gotten out of control lately, 501 00:27:18,560 --> 00:27:20,760 Speaker 2: especially in the last maybe two years three years. 502 00:27:21,040 --> 00:27:24,240 Speaker 1: It really makes me sad for the players, especially when 503 00:27:24,240 --> 00:27:26,480 Speaker 1: they're in college and they're really well. Now they can 504 00:27:26,520 --> 00:27:29,040 Speaker 1: make some money, but most of them aren't making life 505 00:27:29,119 --> 00:27:31,800 Speaker 1: changing money like you know, like an Angel Reese or 506 00:27:32,480 --> 00:27:36,160 Speaker 1: Chadoor Sanders and things like that, and having to put 507 00:27:36,240 --> 00:27:39,120 Speaker 1: up with all of that. It's not like they say, Okay, 508 00:27:39,160 --> 00:27:41,800 Speaker 1: I'm going to go home and you know, everything's great. 509 00:27:41,800 --> 00:27:44,960 Speaker 1: They're going back to their dorms and grinding and making 510 00:27:44,960 --> 00:27:46,840 Speaker 1: sure that they're getting their homework done and stuff like 511 00:27:46,880 --> 00:27:50,679 Speaker 1: that while also reviewing tape. And it's just mentally, I 512 00:27:50,720 --> 00:27:54,320 Speaker 1: think that it's a good move. And when I think 513 00:27:54,320 --> 00:27:57,040 Speaker 1: about the people who are making a ton of money 514 00:27:57,440 --> 00:28:01,560 Speaker 1: on this off the backs of folks mental health, physical health, 515 00:28:02,080 --> 00:28:07,439 Speaker 1: it's really like disgusting, you know. And so with all 516 00:28:07,520 --> 00:28:09,920 Speaker 1: of that in mind, who do you think bears the 517 00:28:09,920 --> 00:28:16,240 Speaker 1: most responsibility for setting and maintaining boundaries within you know, 518 00:28:16,800 --> 00:28:21,040 Speaker 1: the league platforms, media companies? Like, who do you feel 519 00:28:21,040 --> 00:28:23,120 Speaker 1: like should be responsible? 520 00:28:23,800 --> 00:28:26,000 Speaker 2: I think you have to say the state and federal 521 00:28:26,080 --> 00:28:29,360 Speaker 2: governments are the most responsible, just because that's really the 522 00:28:29,400 --> 00:28:35,760 Speaker 2: only way that any kind of like sweeping changes can 523 00:28:35,800 --> 00:28:41,880 Speaker 2: be made. Leagues might try to protect a portion of 524 00:28:41,920 --> 00:28:45,000 Speaker 2: their players, like the NBA did with not being able 525 00:28:45,040 --> 00:28:47,280 Speaker 2: to bet on player propits for players making under a 526 00:28:47,280 --> 00:28:50,560 Speaker 2: certain amount of money. Leagues benefit too much from betting. 527 00:28:51,440 --> 00:28:55,400 Speaker 2: Media benefits a lot from betting, you know. I think 528 00:28:55,480 --> 00:28:59,600 Speaker 2: Ballei Sports was bought by FanDuel Sports Network, So FanDuel 529 00:28:59,640 --> 00:29:02,360 Speaker 2: has a sports network that they end so obviously that 530 00:29:02,360 --> 00:29:05,040 Speaker 2: that means they can run like tickers and betting lines 531 00:29:05,080 --> 00:29:06,959 Speaker 2: and things on the bottom of the screens as they 532 00:29:07,000 --> 00:29:09,800 Speaker 2: go by. And really, if you watch any broadcast now, 533 00:29:10,000 --> 00:29:12,520 Speaker 2: there's a lot more talk about betting in the pregame 534 00:29:12,560 --> 00:29:14,240 Speaker 2: show and even during the game. 535 00:29:14,680 --> 00:29:17,680 Speaker 1: Yeah they're talking about the lines or whatever. Yeah, they're 536 00:29:17,720 --> 00:29:21,360 Speaker 1: talking about it. And it's really shocking when you're watching 537 00:29:21,360 --> 00:29:24,800 Speaker 1: and you start hearing the betting because and I know 538 00:29:24,840 --> 00:29:28,000 Speaker 1: it's a recent thing, and we can remember when that 539 00:29:28,240 --> 00:29:29,640 Speaker 1: wasn't a thing. Yeah. 540 00:29:29,720 --> 00:29:31,760 Speaker 2: Yeah, when I was young, I watched Sports Center and 541 00:29:31,960 --> 00:29:34,440 Speaker 2: there was no talk of betting. It was all narrative, right, 542 00:29:34,480 --> 00:29:36,479 Speaker 2: it was all the narrative of the team, the narrative 543 00:29:36,520 --> 00:29:39,959 Speaker 2: of the player. And so now you'll have that, but 544 00:29:40,040 --> 00:29:43,600 Speaker 2: you'll also have betting lines, like you said, and it's 545 00:29:43,640 --> 00:29:47,560 Speaker 2: not uncommon to see just as much talking about betting 546 00:29:47,640 --> 00:29:51,560 Speaker 2: lines as stats. The thing about betting is like the 547 00:29:51,720 --> 00:29:56,040 Speaker 2: research behind it that you know, puts out the lines 548 00:29:56,240 --> 00:29:59,280 Speaker 2: and makes the spreads and determines the player props. That 549 00:29:59,400 --> 00:30:02,920 Speaker 2: research is probably the best in sports or up there, 550 00:30:03,560 --> 00:30:07,920 Speaker 2: because they're making sure they win, you know, and they 551 00:30:07,960 --> 00:30:11,240 Speaker 2: don't want to lose money, so their algorithms are really 552 00:30:11,280 --> 00:30:14,960 Speaker 2: informative to you, even if you're not a better to 553 00:30:15,040 --> 00:30:17,080 Speaker 2: understand what might happen in that game or work at 554 00:30:17,120 --> 00:30:19,080 Speaker 2: least what's most likely to. 555 00:30:19,080 --> 00:30:21,200 Speaker 3: Happen in that game. And really you. 556 00:30:21,200 --> 00:30:23,360 Speaker 2: Have to to win in betting, you have to beat 557 00:30:23,560 --> 00:30:27,320 Speaker 2: their algorithm and their statistical model. And for most people 558 00:30:27,360 --> 00:30:31,360 Speaker 2: that's just not going to happen. You know, people who 559 00:30:31,440 --> 00:30:33,960 Speaker 2: make their careers out of it can start to do that. 560 00:30:34,240 --> 00:30:37,320 Speaker 2: But it has changed the media landscape obviously. 561 00:30:37,600 --> 00:30:40,720 Speaker 1: Okay, now I'm curious. You know, we're approaching the super Bowl, 562 00:30:41,280 --> 00:30:46,520 Speaker 1: and I feel like everybody becomes the fantasy player at 563 00:30:46,560 --> 00:30:52,959 Speaker 1: the super Bowl. And also people just get beside themselves. 564 00:30:53,480 --> 00:30:55,200 Speaker 1: And I don't know if it's because it's so late. 565 00:30:55,520 --> 00:30:58,480 Speaker 1: I don't know if it's because they've had too much 566 00:30:58,520 --> 00:30:59,920 Speaker 1: Buffalo chickens. 567 00:31:00,800 --> 00:31:03,920 Speaker 2: We just did a fantasy food draft actually, so. 568 00:31:04,080 --> 00:31:05,080 Speaker 1: Oh tell me about that. 569 00:31:05,360 --> 00:31:07,760 Speaker 2: My coworkers and I we have a list that are 570 00:31:07,920 --> 00:31:11,960 Speaker 2: fantasy rinker. Jake Seely he makes it. He's known for 571 00:31:12,040 --> 00:31:14,880 Speaker 2: his lists. I love his personality. I think in his 572 00:31:14,960 --> 00:31:17,520 Speaker 2: writing he'll have his rankings and then he'll be like 573 00:31:18,040 --> 00:31:22,160 Speaker 2: ten best Ductails movies or shows. He really loves the 574 00:31:22,240 --> 00:31:25,440 Speaker 2: duct Tails, so it'll be like ten best and worst Deserts. 575 00:31:25,480 --> 00:31:27,480 Speaker 2: And he has really hot takes like he does not 576 00:31:27,760 --> 00:31:31,400 Speaker 2: care what you think about his opinion on desserts. That's 577 00:31:31,400 --> 00:31:34,360 Speaker 2: where he doesn't care. He will just he had best 578 00:31:34,360 --> 00:31:37,000 Speaker 2: and worst Christmas songs. So he's very known for these things, 579 00:31:37,000 --> 00:31:40,080 Speaker 2: and so he puts together this food draft. In Buffalo, 580 00:31:40,320 --> 00:31:44,120 Speaker 2: chicken dip was the number one food taken. Well, you 581 00:31:44,120 --> 00:31:46,120 Speaker 2: say last year was the number one food taken. This year, 582 00:31:46,600 --> 00:31:48,800 Speaker 2: it was like proclaimed that it should have been the 583 00:31:48,840 --> 00:31:51,840 Speaker 2: number one food taken because the dips category is small. 584 00:31:51,920 --> 00:31:55,280 Speaker 2: So on fantasy, there's only eight dips to draft from. 585 00:31:55,360 --> 00:31:58,680 Speaker 2: You better grab a good dip quickly, right, yeah, okay, 586 00:31:58,760 --> 00:32:02,800 Speaker 2: we do find it in the dips snacks on trays, 587 00:32:03,080 --> 00:32:06,680 Speaker 2: and then we have qualifications. You have to draft to 588 00:32:07,120 --> 00:32:10,800 Speaker 2: local fairs, so local to the Super Bowl teams and 589 00:32:11,120 --> 00:32:13,800 Speaker 2: different rules like this is fantasy. We did. That's a 590 00:32:13,880 --> 00:32:16,760 Speaker 2: fantasy draft of sorts, you know. And the article will 591 00:32:16,800 --> 00:32:18,600 Speaker 2: be coming out later with all of our draft pick 592 00:32:18,880 --> 00:32:21,959 Speaker 2: So we just did that. Oh, super Bowl, super Bowl's coming. 593 00:32:22,080 --> 00:32:24,760 Speaker 2: It's big, and it's the most bad on sports event 594 00:32:24,800 --> 00:32:25,120 Speaker 2: of the year. 595 00:32:25,840 --> 00:32:27,960 Speaker 1: I'm ashamed to say I don't think I even know 596 00:32:27,960 --> 00:32:30,680 Speaker 1: who's in the Super Bowl. Now. I know Russell Wilson 597 00:32:30,720 --> 00:32:33,320 Speaker 1: isn't because I saw him cooking at home with Sierra. 598 00:32:33,680 --> 00:32:36,400 Speaker 1: I think, okay, but I did see something that said 599 00:32:36,520 --> 00:32:39,440 Speaker 1: when there's a new pope, the Seahawks make it. So 600 00:32:39,480 --> 00:32:40,760 Speaker 1: maybe the Seahawks are. 601 00:32:40,600 --> 00:32:42,400 Speaker 3: Playing Yeah, yeah, that's true. 602 00:32:42,560 --> 00:32:45,680 Speaker 1: That's right now. I don't know who the other team is. 603 00:32:46,520 --> 00:32:50,880 Speaker 1: It is the uh Cardi B's boyfriend Stefan Diggs is 604 00:32:50,920 --> 00:32:54,840 Speaker 1: on the Patriot. It's him them. There you go. This 605 00:32:54,960 --> 00:32:57,400 Speaker 1: is I love that these are different in roads to 606 00:32:57,440 --> 00:32:58,080 Speaker 1: the information. 607 00:32:58,280 --> 00:33:00,520 Speaker 2: That's right, and that is what my right up in 608 00:33:00,560 --> 00:33:03,080 Speaker 2: the fantasy food draft was about. I was basically like, 609 00:33:03,120 --> 00:33:05,120 Speaker 2: my friends don't care about sports, so I have to 610 00:33:05,160 --> 00:33:06,080 Speaker 2: give them good food. 611 00:33:06,120 --> 00:33:07,680 Speaker 3: I can't be drafting pizza. 612 00:33:08,120 --> 00:33:11,720 Speaker 2: No, you know, no, just to get them to watch 613 00:33:11,720 --> 00:33:14,040 Speaker 2: it with me, I have to do so much work. 614 00:33:14,440 --> 00:33:19,480 Speaker 3: I tell people narratives like Seattle is playing the Patriots. 615 00:33:19,480 --> 00:33:22,840 Speaker 2: It's a rematch from twenty fifteen where Seattle lost on 616 00:33:22,880 --> 00:33:25,560 Speaker 2: the one yard line when Russell Wilson threw an interception 617 00:33:25,720 --> 00:33:28,760 Speaker 2: instead of Lynch running the football, and this is this 618 00:33:28,800 --> 00:33:32,840 Speaker 2: is a rematch. So I talked about the Seahawks revenge narrative. 619 00:33:33,200 --> 00:33:36,440 Speaker 2: I was at college when Cooper Cup was at Eastern Washington. 620 00:33:36,480 --> 00:33:38,960 Speaker 2: I was doing my mfaan poetry when he was there, 621 00:33:39,320 --> 00:33:42,520 Speaker 2: and then I'm like, build this narrative around Sam Donald 622 00:33:42,560 --> 00:33:43,200 Speaker 2: and his comeback. 623 00:33:43,240 --> 00:33:46,200 Speaker 3: So Sam Donald's the quarterback for the Seahawks. He was 624 00:33:46,400 --> 00:33:48,040 Speaker 3: dismissed by the Jets. 625 00:33:47,760 --> 00:33:51,360 Speaker 2: As terrible, he played terribly for them, thrown off to 626 00:33:51,440 --> 00:33:54,920 Speaker 2: the side, goes to the Panthers, I think for a 627 00:33:54,960 --> 00:33:57,360 Speaker 2: little bit of time, and then goes to Minnesota. Last year, 628 00:33:57,400 --> 00:33:59,640 Speaker 2: does really well, but they caught him in favor of 629 00:33:59,720 --> 00:34:02,400 Speaker 2: Jaj McCarthy, the rookie who had some of the worst 630 00:34:02,480 --> 00:34:05,840 Speaker 2: underlying metrics this year. But now it's on Seattle new 631 00:34:05,880 --> 00:34:08,359 Speaker 2: coach Mike McDonald, who has a chance to probably win 632 00:34:08,400 --> 00:34:12,560 Speaker 2: Coach of the Year. And now they're projected winners of 633 00:34:12,600 --> 00:34:15,160 Speaker 2: the Super Bowl. They did start with very low long 634 00:34:15,160 --> 00:34:17,759 Speaker 2: shot odds ahead of this season, but now they're the 635 00:34:17,800 --> 00:34:20,560 Speaker 2: projected winners of the Super Bowl. So there's some like 636 00:34:20,680 --> 00:34:22,480 Speaker 2: narrative to get behind in it, you. 637 00:34:22,440 --> 00:34:25,320 Speaker 1: Know, And that's what I like, bring back the stories 638 00:34:25,360 --> 00:34:26,080 Speaker 1: to sports. 639 00:34:26,400 --> 00:34:26,960 Speaker 3: I agree. 640 00:34:27,040 --> 00:34:30,319 Speaker 1: I want to hear, you know, what their traditions are 641 00:34:30,320 --> 00:34:33,440 Speaker 1: before the game, like what kind of music they're listening to. 642 00:34:33,920 --> 00:34:36,960 Speaker 1: I want to see their grandma's like all that. 643 00:34:37,560 --> 00:34:40,960 Speaker 2: Yeah, that's how my wife is, like, we watch Hard Knocks, 644 00:34:41,000 --> 00:34:43,879 Speaker 2: which is a football show about training camp, and that's 645 00:34:44,000 --> 00:34:47,239 Speaker 2: like how that's her entry into getting to know the 646 00:34:47,280 --> 00:34:49,920 Speaker 2: team and the players. She wants the narrative, she wants 647 00:34:49,920 --> 00:34:55,040 Speaker 2: the emotional touch point, yes, and to be invested. And 648 00:34:55,120 --> 00:34:58,239 Speaker 2: I think that's important and it's all there. All of 649 00:34:58,239 --> 00:35:00,680 Speaker 2: those narratives are there and more that have have been told. 650 00:35:00,760 --> 00:35:03,600 Speaker 1: So yes, what does that make you feel like for 651 00:35:04,040 --> 00:35:05,920 Speaker 1: where we are in sports culture? Like, what do you 652 00:35:05,960 --> 00:35:07,880 Speaker 1: see for the future and where it's headed. 653 00:35:08,160 --> 00:35:11,040 Speaker 2: I mean, you saw with Taylor Swift dating Travis Kelce, right, 654 00:35:11,160 --> 00:35:15,920 Speaker 2: Like what that could do for sports culture, television media? 655 00:35:16,520 --> 00:35:18,840 Speaker 3: How often that narrative. 656 00:35:18,520 --> 00:35:20,759 Speaker 2: Was spoken about last season when the Chiefs were in 657 00:35:20,800 --> 00:35:23,280 Speaker 2: the Super Bowl and we're playing bad bunnies doing a halftime. 658 00:35:23,680 --> 00:35:27,400 Speaker 2: This year, you have Cardi b talking about Stefan Diggs 659 00:35:27,480 --> 00:35:31,560 Speaker 2: another superstar there, and then you have Simone Biles, Jonathan Owens. 660 00:35:31,600 --> 00:35:32,920 Speaker 3: There's a lot of this happening. 661 00:35:33,040 --> 00:35:35,520 Speaker 2: And I think because we're living in the social media era, 662 00:35:35,640 --> 00:35:37,880 Speaker 2: the media is changed in that way, for better and 663 00:35:38,080 --> 00:35:41,840 Speaker 2: for worse. Better, we get more opinions and more people 664 00:35:41,880 --> 00:35:44,319 Speaker 2: caring about different elements of the game and bringing more 665 00:35:44,360 --> 00:35:46,600 Speaker 2: fans to the game through social media. You know, you 666 00:35:46,680 --> 00:35:51,560 Speaker 2: have ideally we bring in folks who aren't just invested 667 00:35:51,600 --> 00:35:55,279 Speaker 2: in sports. One to wide an all audience and create 668 00:35:55,320 --> 00:35:58,560 Speaker 2: more community, but two, I think to influence change within 669 00:35:58,600 --> 00:36:01,239 Speaker 2: the sport. You know, if we do have more people 670 00:36:01,280 --> 00:36:04,719 Speaker 2: who are less concerned about their team winning, we might 671 00:36:04,760 --> 00:36:07,200 Speaker 2: have people who are more concerned about players who are 672 00:36:07,200 --> 00:36:10,759 Speaker 2: more concerned about some of what we've talked about occasionally here, 673 00:36:11,080 --> 00:36:13,880 Speaker 2: and we'll just get different viewpoints coming in in different 674 00:36:13,920 --> 00:36:16,760 Speaker 2: ways that the league has to be accountable to different 675 00:36:16,760 --> 00:36:17,600 Speaker 2: types of people. 676 00:36:17,760 --> 00:36:18,560 Speaker 3: I really hope that. 677 00:36:18,520 --> 00:36:22,720 Speaker 2: We bring in tons of women, hopefully queer people, hopefully 678 00:36:22,719 --> 00:36:26,640 Speaker 2: folks of color, you know, in different spaces to continue 679 00:36:26,680 --> 00:36:32,600 Speaker 2: to broaden the audience and therefore influence conversation. Let's have 680 00:36:32,800 --> 00:36:35,280 Speaker 2: like better conversation, or at least just different conversation. 681 00:36:35,360 --> 00:36:37,880 Speaker 1: I have one last question. If somebody is listening to 682 00:36:37,920 --> 00:36:40,680 Speaker 1: this and they're like, Wow, Jess's job is so cool, 683 00:36:41,080 --> 00:36:43,560 Speaker 1: what type of skills do they need to have to 684 00:36:44,200 --> 00:36:47,120 Speaker 1: work with you, work for you? Like, how do you 685 00:36:47,200 --> 00:36:49,120 Speaker 1: get into something like this? Because I know that there 686 00:36:49,120 --> 00:36:52,400 Speaker 1: are a lot of sports fans who don't really feel 687 00:36:52,440 --> 00:36:55,040 Speaker 1: like there is any science related. 688 00:36:54,960 --> 00:36:59,400 Speaker 2: Data analysis across the board for all of our teams 689 00:36:59,800 --> 00:37:04,840 Speaker 2: is a need. I think data visualization, data journalism is 690 00:37:04,880 --> 00:37:08,360 Speaker 2: another route people can go to get in the sports space. 691 00:37:08,520 --> 00:37:11,560 Speaker 2: App development, program development. We need tons of that. We 692 00:37:11,640 --> 00:37:16,200 Speaker 2: need those product developers to be it. Please come and 693 00:37:16,280 --> 00:37:19,759 Speaker 2: work at BAUT And then we need a lot of 694 00:37:19,840 --> 00:37:23,200 Speaker 2: data analysts, and then we need data visualization folks, and 695 00:37:23,239 --> 00:37:26,000 Speaker 2: we need people at SEO. So it's not just people 696 00:37:26,000 --> 00:37:30,560 Speaker 2: who are beat writers, you know, or fantasy nerds or. 697 00:37:32,280 --> 00:37:33,720 Speaker 3: Folks who know about betting. 698 00:37:33,840 --> 00:37:35,920 Speaker 2: One of my favorite product developers does not have a 699 00:37:35,920 --> 00:37:39,560 Speaker 2: ton of sports knowledge and develops these amazing products for us. 700 00:37:39,680 --> 00:37:41,800 Speaker 2: So I think there are just so many ways to 701 00:37:41,800 --> 00:37:45,280 Speaker 2: get into sports, and advanced analytics is just creeping. 702 00:37:45,040 --> 00:37:45,520 Speaker 3: Up and up. 703 00:37:45,560 --> 00:37:47,520 Speaker 2: But yeah, I think there are tons of ways. 704 00:37:47,600 --> 00:37:51,000 Speaker 1: Awesome. This has been great, very eye opening, and it 705 00:37:51,400 --> 00:37:55,440 Speaker 1: really has made me look at all of this differently 706 00:37:56,120 --> 00:37:58,239 Speaker 1: in the sense that now I feel like I know 707 00:37:58,480 --> 00:38:00,960 Speaker 1: more and so when I hear these things and it'll 708 00:38:01,200 --> 00:38:03,160 Speaker 1: trigger something in my mind to think about kind of 709 00:38:03,200 --> 00:38:06,040 Speaker 1: like the bigger picture. And also now I'm thinking about 710 00:38:06,080 --> 00:38:10,000 Speaker 1: myself as part of the sports enterprise, like you know, 711 00:38:10,000 --> 00:38:12,000 Speaker 1: knowing that little bit about Sierra and Russell Wilson, I 712 00:38:12,080 --> 00:38:18,919 Speaker 1: will maybe I'll be the NIXT sports writer on subs Day. Subscribe. 713 00:38:22,719 --> 00:38:25,640 Speaker 1: You can find us on X and Instagram at Dope 714 00:38:25,719 --> 00:38:30,880 Speaker 1: Labs podcast. You can find me ct on X, threads 715 00:38:30,920 --> 00:38:35,600 Speaker 1: and Instagram at dr Underscore t sho, and you can 716 00:38:35,640 --> 00:38:39,520 Speaker 1: find Zakiya at z said So. Dope Labs is a 717 00:38:39,560 --> 00:38:44,360 Speaker 1: production of Lemonada Media. Our supervising producer is Keegan Zemma. 718 00:38:44,640 --> 00:38:49,000 Speaker 1: Dope Labs is sound designed, edited and mixed by James Sparber. 719 00:38:49,440 --> 00:38:54,440 Speaker 1: Lemonada's Senior Vice President of Content and Production is Jackie Danziger. 720 00:38:55,120 --> 00:38:59,279 Speaker 1: Executive producer from iHeart Podcast is Katrina Norvil. Marketing lead 721 00:38:59,400 --> 00:39:04,440 Speaker 1: is Alison. Original music composed and produced by Takayasuzawa and 722 00:39:04,600 --> 00:39:09,600 Speaker 1: Alex suki Ura, with additional music by Elijah Harvey. Dope 723 00:39:09,680 --> 00:39:13,280 Speaker 1: Labs is executive produced by us T T Show Dia 724 00:39:13,360 --> 00:39:14,360 Speaker 1: and Zakiah Watley.