1 00:00:01,840 --> 00:00:04,920 Speaker 1: Hello, and welcome to the Bloomberg Business of Sports podcast. 2 00:00:04,960 --> 00:00:06,760 Speaker 1: We explore some of the big many issues in the 3 00:00:06,800 --> 00:00:10,000 Speaker 1: world of sports on Michael bar and this is a 4 00:00:10,080 --> 00:00:13,119 Speaker 1: big topic and we're talking about the NFL and what 5 00:00:13,200 --> 00:00:18,240 Speaker 1: they're trying to do to prevent serious injuries in the game. 6 00:00:18,640 --> 00:00:21,759 Speaker 1: And it was a great article that's out Michael Crowley 7 00:00:22,239 --> 00:00:28,200 Speaker 1: and also Jim Gaddy, who is connected with this article involved. 8 00:00:28,600 --> 00:00:31,480 Speaker 1: First of all, gentlemen, thank you for coming onto the 9 00:00:31,480 --> 00:00:37,120 Speaker 1: Bloomberg Business of Sports. The article that you guys are 10 00:00:37,120 --> 00:00:40,280 Speaker 1: connected with, and it really is something I'm going to 11 00:00:40,440 --> 00:00:44,080 Speaker 1: start with Michael tell us about this article that's in 12 00:00:44,159 --> 00:00:49,120 Speaker 1: Bloomberg Business Week. The NFL, they are trying to study 13 00:00:49,240 --> 00:00:52,960 Speaker 1: how to avoid concussions. They've done this several years ago, 14 00:00:53,440 --> 00:00:57,080 Speaker 1: but they're really taking an extreme focus on it and 15 00:00:57,120 --> 00:01:00,640 Speaker 1: how to avoid injuries in general. To us more about 16 00:01:00,680 --> 00:01:04,720 Speaker 1: what your article is all about. Yeah, so, uh, I 17 00:01:04,800 --> 00:01:07,160 Speaker 1: was alerted through a source that, you know, one of 18 00:01:07,200 --> 00:01:09,039 Speaker 1: the things the NFL has been doing for some time 19 00:01:09,120 --> 00:01:12,680 Speaker 1: now was really focusing on lower limb injuries and that 20 00:01:12,800 --> 00:01:18,200 Speaker 1: research is actually an outgrowth of the research related to concussions. 21 00:01:19,080 --> 00:01:21,720 Speaker 1: And you know, one of things we in the reporting 22 00:01:22,400 --> 00:01:25,520 Speaker 1: that should be reflected in the article as well, is that, um, 23 00:01:26,640 --> 00:01:29,200 Speaker 1: they this was a bit of a surprise to them, 24 00:01:29,240 --> 00:01:33,200 Speaker 1: you know, because the NFL uh televises every single game 25 00:01:33,400 --> 00:01:36,960 Speaker 1: they have, they have filmed, they have video on every 26 00:01:36,959 --> 00:01:40,840 Speaker 1: single injury that has occurred in the NFL, and so 27 00:01:41,680 --> 00:01:45,040 Speaker 1: they started to understand that if they could start studying 28 00:01:45,080 --> 00:01:49,320 Speaker 1: those collisions, specifically for concussions, then they started looking at 29 00:01:49,360 --> 00:01:51,240 Speaker 1: other than they realized they could look at other things. 30 00:01:51,240 --> 00:01:54,040 Speaker 1: And that's where the you know, the artificial intelligence and 31 00:01:54,120 --> 00:01:57,120 Speaker 1: machine learning starts to come into play, because now they 32 00:01:57,120 --> 00:02:00,480 Speaker 1: can start analyzing all that data, which we would call video, 33 00:02:01,120 --> 00:02:03,080 Speaker 1: and they can start analyzing you know, I don't know 34 00:02:03,120 --> 00:02:04,680 Speaker 1: if they would put it this way, but say like 35 00:02:04,760 --> 00:02:07,640 Speaker 1: the angle of a collision or the way that a 36 00:02:07,720 --> 00:02:12,440 Speaker 1: foot responds to artificial term versus natural grass, which then 37 00:02:12,520 --> 00:02:15,120 Speaker 1: gets into even sort of like can they have this 38 00:02:15,120 --> 00:02:18,000 Speaker 1: this is not this is sort of common knowledge if 39 00:02:18,000 --> 00:02:19,840 Speaker 1: you're like really deep in the NFL, but you know, 40 00:02:19,880 --> 00:02:22,400 Speaker 1: if you were going to an NFL locker room, they 41 00:02:22,440 --> 00:02:25,880 Speaker 1: have ratings for every helmet that these that these guys used, 42 00:02:26,080 --> 00:02:28,320 Speaker 1: but they have they also have ratings for the types 43 00:02:28,360 --> 00:02:30,840 Speaker 1: of cleats that they sort of you know, sort of 44 00:02:30,880 --> 00:02:33,040 Speaker 1: they rate those as well. And a lot of that 45 00:02:33,200 --> 00:02:36,800 Speaker 1: is because, um, you know, a soft tissue injury like 46 00:02:36,840 --> 00:02:42,400 Speaker 1: a hamstring or an ankle or or a calf, you know, uh, 47 00:02:42,480 --> 00:02:45,080 Speaker 1: it will keep you out of a game longer, you 48 00:02:45,080 --> 00:02:49,120 Speaker 1: know than current concussion protocols dode. So obviously that's very 49 00:02:49,120 --> 00:02:51,080 Speaker 1: important teams to sort of figure out how they can 50 00:02:51,080 --> 00:02:53,919 Speaker 1: sort of prevent those kinds of injuries as well as 51 00:02:54,040 --> 00:02:58,320 Speaker 1: the more long term effects of concussions. Bloomberg Pursuits Deputy 52 00:02:58,440 --> 00:03:03,560 Speaker 1: Unitor Jim Gatty, and this involves about the concussions because 53 00:03:03,680 --> 00:03:06,680 Speaker 1: a few years ago they used to put the radio 54 00:03:06,919 --> 00:03:12,560 Speaker 1: frequency identification tags inside the helmets. And do they still 55 00:03:12,600 --> 00:03:16,079 Speaker 1: do that now? Yep, yep they do. Uh, they go 56 00:03:16,200 --> 00:03:18,840 Speaker 1: on almost all the pieces of equipment that they wear now. 57 00:03:18,880 --> 00:03:23,160 Speaker 1: They go on their shoulder pads, they go in the mouthpieces. Um, 58 00:03:23,280 --> 00:03:27,120 Speaker 1: they you know, even when you were thinking about, you know, 59 00:03:27,360 --> 00:03:31,000 Speaker 1: measuring concussions and looking at how these happened, the mouthpiece 60 00:03:31,480 --> 00:03:36,119 Speaker 1: sensor is quite important that it tells what direction inside 61 00:03:36,120 --> 00:03:40,280 Speaker 1: the helmet the head is moving. Um. It's just you 62 00:03:40,320 --> 00:03:42,760 Speaker 1: know the sort of thing that like every single player, 63 00:03:43,200 --> 00:03:47,080 Speaker 1: every single game, every single practice, they wear all these sensors. 64 00:03:47,760 --> 00:03:51,080 Speaker 1: And you know, when Mike came to me with the story, 65 00:03:53,200 --> 00:03:56,720 Speaker 1: you think about analytics, analytics and other sports tends to 66 00:03:56,760 --> 00:03:59,560 Speaker 1: have a really kind of a negative connotation. And you're 67 00:03:59,560 --> 00:04:03,920 Speaker 1: talking about baseball purists either analytics people. You know, it's 68 00:04:03,920 --> 00:04:06,920 Speaker 1: all moneyball. Now where you think about the NBA, where 69 00:04:07,040 --> 00:04:09,240 Speaker 1: everyone seems to be like shooting from half court now 70 00:04:09,400 --> 00:04:12,280 Speaker 1: trying to get three points instead of two points, in 71 00:04:12,320 --> 00:04:16,360 Speaker 1: the NFL, it's just it's a completely different way. I mean, 72 00:04:16,480 --> 00:04:18,640 Speaker 1: some of these changes to the game are happening in 73 00:04:18,680 --> 00:04:21,960 Speaker 1: the margins. You see people going for two point conversions 74 00:04:22,080 --> 00:04:24,800 Speaker 1: more frequently now because the analytics say that, you know, 75 00:04:25,440 --> 00:04:28,640 Speaker 1: looking at the law of averages or um, you know, 76 00:04:28,640 --> 00:04:32,080 Speaker 1: going forward on fourth down more, but looking at injuries 77 00:04:32,480 --> 00:04:35,640 Speaker 1: and what they're doing is really just running computer simulations 78 00:04:36,360 --> 00:04:39,599 Speaker 1: hundreds and hundreds and thousands of times over, using this 79 00:04:39,720 --> 00:04:41,839 Speaker 1: data that they have, using these videos that they have 80 00:04:42,240 --> 00:04:46,720 Speaker 1: to look at. How you know, how how can you 81 00:04:46,720 --> 00:04:49,279 Speaker 1: you know, eliminate some of these And you know, the 82 00:04:49,400 --> 00:04:51,880 Speaker 1: NFL is an inherently violent game. I mean there's this 83 00:04:52,000 --> 00:04:57,480 Speaker 1: tension with you know this uh, you know, concern for 84 00:04:57,480 --> 00:05:01,479 Speaker 1: for injury prevention. But the fans love the big hits, 85 00:05:01,760 --> 00:05:06,000 Speaker 1: you know. They used to have a segment in on 86 00:05:06,360 --> 00:05:09,600 Speaker 1: ESPN he he got jacked up, and and everybody was 87 00:05:09,640 --> 00:05:12,520 Speaker 1: watching and I and he including me, and then we 88 00:05:12,600 --> 00:05:15,159 Speaker 1: realized it's like, oh my goodness, they they are really 89 00:05:15,839 --> 00:05:18,840 Speaker 1: you know, getting seriously injured. Yeah, you know, and this 90 00:05:18,920 --> 00:05:21,760 Speaker 1: is really uh, Obviously, over the last couple of weeks, 91 00:05:21,760 --> 00:05:27,520 Speaker 1: this has taken on more urgency with the Tomorrow Hamlin injury. 92 00:05:28,240 --> 00:05:32,400 Speaker 1: Earlier this year, with the two Gatago Viola injury, very 93 00:05:32,480 --> 00:05:38,359 Speaker 1: high profile primetime games which were very upsetting. Uh, clearly, 94 00:05:38,400 --> 00:05:41,839 Speaker 1: I mean, and uh, you know, so it's but on 95 00:05:41,880 --> 00:05:44,760 Speaker 1: the flip side, you know, the the NFL has uh 96 00:05:45,000 --> 00:05:49,400 Speaker 1: the percentage of injuries has decreased using these special helmets 97 00:05:49,400 --> 00:05:52,600 Speaker 1: in the preseason. Uh, Mike, Mike can speak more of 98 00:05:52,640 --> 00:05:55,000 Speaker 1: this because he talked to them than I did. But 99 00:05:55,040 --> 00:05:57,960 Speaker 1: that was one thing that was interesting to me was, uh, 100 00:05:58,000 --> 00:06:00,599 Speaker 1: you know, even over a short sample period, and uh, 101 00:06:00,720 --> 00:06:06,640 Speaker 1: it was the injuries decreased, which is statistically pretty impressive. Mike. 102 00:06:07,200 --> 00:06:09,200 Speaker 1: What was was that something that stood out to you 103 00:06:09,279 --> 00:06:13,479 Speaker 1: in terms of how it's been affective. Yeah, I think, like, 104 00:06:13,680 --> 00:06:15,480 Speaker 1: you know, one of the things that they realized was 105 00:06:15,560 --> 00:06:19,960 Speaker 1: with load management and sort of understanding the mechanics of 106 00:06:20,040 --> 00:06:21,719 Speaker 1: that better. So what we talked about in the article 107 00:06:21,800 --> 00:06:24,760 Speaker 1: that was actually interesting was that deals in training camp, 108 00:06:24,800 --> 00:06:26,520 Speaker 1: you would come out and you would work the guys 109 00:06:26,560 --> 00:06:29,680 Speaker 1: really hard to start, and what the analytics told him 110 00:06:29,760 --> 00:06:32,360 Speaker 1: was that that was completely backwards, that you actually need 111 00:06:32,360 --> 00:06:35,120 Speaker 1: to slowly ramp up these guys because what happens when 112 00:06:35,160 --> 00:06:37,760 Speaker 1: you start out hard is, uh, there's two things. Wanted 113 00:06:37,800 --> 00:06:39,640 Speaker 1: to get more injuries, and if you get more injuries, 114 00:06:39,680 --> 00:06:41,880 Speaker 1: it's harder to load the playbook and sort of get 115 00:06:41,960 --> 00:06:45,400 Speaker 1: all the reps you need to sort of build team chemistry. Um. 116 00:06:45,480 --> 00:06:48,480 Speaker 1: So it was sort of, uh, sort of a rainbow 117 00:06:48,520 --> 00:06:50,360 Speaker 1: effect that way, which was kind of which was kind 118 00:06:50,360 --> 00:06:51,919 Speaker 1: of interesting for them to see. But then they noticed 119 00:06:51,920 --> 00:06:55,240 Speaker 1: that guys were just saying fresher longer. And obviously in 120 00:06:55,279 --> 00:06:57,400 Speaker 1: a in a grueling sport like the NFL, the team 121 00:06:57,480 --> 00:07:01,080 Speaker 1: that's the freshest, you know, coming into the playoff off playoffs, 122 00:07:01,080 --> 00:07:03,360 Speaker 1: that's gonna be the team that's gonna probably be most successful. 123 00:07:03,880 --> 00:07:07,280 Speaker 1: And so it's a copycat league. Everyone always says that, 124 00:07:07,360 --> 00:07:10,080 Speaker 1: and and the NFL was pretty honest about that. As well. 125 00:07:10,480 --> 00:07:13,960 Speaker 1: The teams that have adopted these who have adopted these 126 00:07:14,040 --> 00:07:16,680 Speaker 1: datasets and incorporated them into their training, those are the 127 00:07:16,680 --> 00:07:19,080 Speaker 1: teams are seeing the greatest amount of success. And the 128 00:07:19,160 --> 00:07:22,280 Speaker 1: NFL makes all that data available to to to all 129 00:07:22,360 --> 00:07:26,200 Speaker 1: thirty two teams. UH. And so the adoption rate, there 130 00:07:26,240 --> 00:07:28,480 Speaker 1: was a little kg about this, the adoption rate by 131 00:07:28,520 --> 00:07:32,160 Speaker 1: certain teams. UH. It's not as high on at some 132 00:07:32,320 --> 00:07:37,160 Speaker 1: organizations as others. UM. But there's a good beat that 133 00:07:37,200 --> 00:07:39,120 Speaker 1: whoever is doing well in the playoffs this year is 134 00:07:39,440 --> 00:07:42,840 Speaker 1: as an organization is really bought into the analytics of 135 00:07:43,160 --> 00:07:46,520 Speaker 1: of of injuries and sort of looking at load management 136 00:07:46,520 --> 00:07:48,800 Speaker 1: in ways that other teams are not. I want to 137 00:07:48,840 --> 00:07:50,960 Speaker 1: ask both of you this question, but I'll start with 138 00:07:51,240 --> 00:07:56,840 Speaker 1: Michael the to Viola injury. Of the concussions, and I'm 139 00:07:56,840 --> 00:08:00,680 Speaker 1: talking about the one where he suffered the fur concussion 140 00:08:00,760 --> 00:08:05,360 Speaker 1: and then four days later that extremely scary concussion. But 141 00:08:05,520 --> 00:08:11,080 Speaker 1: the Miami Dolphins, they were criticized because for some reason 142 00:08:11,160 --> 00:08:15,880 Speaker 1: they cleared ta Viola to go back out for the 143 00:08:15,960 --> 00:08:20,040 Speaker 1: next game, and that's when it really was scary. Michael, 144 00:08:20,080 --> 00:08:24,240 Speaker 1: How could they miss that or what fell through the 145 00:08:24,320 --> 00:08:29,400 Speaker 1: cracks from that first concussion you know, I wouldn't really 146 00:08:29,400 --> 00:08:31,280 Speaker 1: be able to speak to that or no, and in 147 00:08:31,320 --> 00:08:33,520 Speaker 1: some ways it wasn't under the purview of the reporting 148 00:08:33,559 --> 00:08:36,760 Speaker 1: that I was doing. But I also think that my 149 00:08:36,840 --> 00:08:38,840 Speaker 1: guess is, had I asked the NFL about that, they 150 00:08:38,840 --> 00:08:42,079 Speaker 1: probably would have punted that to the organization. It said, like, 151 00:08:42,480 --> 00:08:46,559 Speaker 1: you know, it's individual teams. But you know, I will say, 152 00:08:47,000 --> 00:08:48,480 Speaker 1: I mean, I think that, as we all know, the 153 00:08:48,559 --> 00:08:50,920 Speaker 1: NFL is a big behemoth. It's it's a big money 154 00:08:50,960 --> 00:08:53,880 Speaker 1: making machine. And as Jim talked about with the tension 155 00:08:54,360 --> 00:08:58,160 Speaker 1: between you know, how much it's a ladiatorial sport. I mean, 156 00:08:58,160 --> 00:09:00,040 Speaker 1: we like contact. I mean, that's what is a you 157 00:09:00,040 --> 00:09:03,200 Speaker 1: knowing about the NFL um But I did get the 158 00:09:03,240 --> 00:09:06,400 Speaker 1: feeling that, you know, although they have taken some uh 159 00:09:06,480 --> 00:09:12,360 Speaker 1: justifiably uh criticism in the media for how they've handled concussions, 160 00:09:12,840 --> 00:09:14,800 Speaker 1: when I talked to Jeff Miller, I felt like, you know, 161 00:09:14,880 --> 00:09:16,920 Speaker 1: a lot of what he was saying was pretty sincere, 162 00:09:17,000 --> 00:09:19,280 Speaker 1: that they're trying to do the best they can. It's 163 00:09:19,320 --> 00:09:22,120 Speaker 1: just an inherently violent sport. And if you talk to 164 00:09:22,160 --> 00:09:25,280 Speaker 1: the researchers, which which I've also talked to the researchers, 165 00:09:25,640 --> 00:09:27,319 Speaker 1: you know, one thing I put to the NFL, and 166 00:09:27,360 --> 00:09:29,320 Speaker 1: I put some of these researchers, was like, aren't we 167 00:09:29,360 --> 00:09:31,760 Speaker 1: just making these guys more efficient so that they'll be 168 00:09:31,960 --> 00:09:35,000 Speaker 1: they'll they'll be faster and stronger, and that they'll hit 169 00:09:35,040 --> 00:09:38,200 Speaker 1: even harder, you know, with all this like the machine 170 00:09:38,280 --> 00:09:41,400 Speaker 1: learning and uh. And one of the researchers that I 171 00:09:41,440 --> 00:09:43,560 Speaker 1: know said, I don't know if I believe that or not. 172 00:09:43,760 --> 00:09:45,320 Speaker 1: He said, you know, for a long time, we didn't 173 00:09:45,320 --> 00:09:47,960 Speaker 1: think we'd get there with automobiles, which is the genesis 174 00:09:47,960 --> 00:09:51,120 Speaker 1: of a lot of this sort of research they didn't concussions, 175 00:09:51,320 --> 00:09:54,360 Speaker 1: was from the automobile industry and looking at crash test 176 00:09:54,400 --> 00:09:57,120 Speaker 1: dummy sizes and learning how they could apply that to 177 00:09:57,240 --> 00:10:00,240 Speaker 1: the to the physical collision of men on made in 178 00:10:00,280 --> 00:10:03,920 Speaker 1: a football game. Jim, we talked about to but all 179 00:10:04,000 --> 00:10:09,440 Speaker 1: in this article is the Damar Hamlin injury. I wonder 180 00:10:09,559 --> 00:10:14,360 Speaker 1: if there is any way to prevent an injury like that. 181 00:10:14,400 --> 00:10:17,640 Speaker 1: He went into cardiac arrest and it was one of 182 00:10:17,679 --> 00:10:21,640 Speaker 1: those freak things because it was a normal hit and 183 00:10:21,720 --> 00:10:24,319 Speaker 1: Tee Higgins, he didn't do anything wrong with the hit 184 00:10:24,360 --> 00:10:29,200 Speaker 1: at all. It just scared everybody who was an NFL 185 00:10:29,360 --> 00:10:33,959 Speaker 1: fan and obviously the Buffalo Bills. Yeah, you know, Um, 186 00:10:34,240 --> 00:10:38,400 Speaker 1: I'm not a doctor, um, but um, you know, I 187 00:10:38,400 --> 00:10:41,960 Speaker 1: feel like that that was judging from the reactions that 188 00:10:42,040 --> 00:10:45,480 Speaker 1: I've seen from football players, you know, it seemed like 189 00:10:45,480 --> 00:10:48,480 Speaker 1: a freak thing that there was really not much you 190 00:10:48,520 --> 00:10:51,320 Speaker 1: could do to prevent that. But what I will say 191 00:10:51,760 --> 00:10:54,880 Speaker 1: is that the action plan that they had in place 192 00:10:55,240 --> 00:11:00,360 Speaker 1: to resuscitate him, that is an absolutely outgrowth of the 193 00:11:00,440 --> 00:11:02,600 Speaker 1: research that they've been doing over the last few years. 194 00:11:03,120 --> 00:11:04,680 Speaker 1: And that is a plan that they put in place 195 00:11:04,800 --> 00:11:08,760 Speaker 1: specifically for a freak accident like that. And I'm thinking 196 00:11:08,880 --> 00:11:11,520 Speaker 1: fifteen years ago, twenty years ago, that action plan is 197 00:11:11,559 --> 00:11:16,160 Speaker 1: not in place. I remember seeing Tony dorsset and he 198 00:11:16,240 --> 00:11:18,240 Speaker 1: was playing, I believe it was a Monday night game, 199 00:11:19,160 --> 00:11:22,840 Speaker 1: and uh, one of the greatest running backs in the league. 200 00:11:23,000 --> 00:11:25,000 Speaker 1: And that was back in the time, and we wanted 201 00:11:25,000 --> 00:11:29,080 Speaker 1: to see big old hits. So he hits head first 202 00:11:29,720 --> 00:11:34,240 Speaker 1: into a defensive player and it literally knocks his helmet askew. 203 00:11:35,400 --> 00:11:40,320 Speaker 1: And now today, Michael, he's dealing with concussions. Uh, And 204 00:11:40,480 --> 00:11:45,000 Speaker 1: thank goodness, the game has changed with all of this stuff. 205 00:11:45,040 --> 00:11:47,240 Speaker 1: And by the way, folks, I need to explain something 206 00:11:47,240 --> 00:11:52,199 Speaker 1: too in the article they create an AI player and 207 00:11:52,360 --> 00:11:54,840 Speaker 1: I know you've seen the commercials where you got the 208 00:11:54,880 --> 00:11:57,240 Speaker 1: person and they were in the ping pong balls and 209 00:11:57,280 --> 00:11:59,199 Speaker 1: this and that, and it's cute and you get a 210 00:11:59,280 --> 00:12:02,439 Speaker 1: chuckle on it. But Michael, this is something that is 211 00:12:02,559 --> 00:12:06,200 Speaker 1: really serious for the NFL and they have taken it 212 00:12:06,240 --> 00:12:09,200 Speaker 1: to the degree and and good for them. Yeah, I mean, 213 00:12:09,200 --> 00:12:11,000 Speaker 1: I think some of the stuff that they're doing is 214 00:12:11,080 --> 00:12:14,760 Speaker 1: actually to be commended and is actually pretty cutting edge. 215 00:12:15,160 --> 00:12:18,440 Speaker 1: So they they started a number of contests where you know, 216 00:12:18,440 --> 00:12:21,440 Speaker 1: they're they're giving out funds for companies to develop new products. 217 00:12:21,480 --> 00:12:24,559 Speaker 1: So the helmets, the helmet Challenge was was the first 218 00:12:24,559 --> 00:12:26,960 Speaker 1: one that they did and they got. I mean, one 219 00:12:27,000 --> 00:12:29,800 Speaker 1: of the most interesting companies that sort of came into 220 00:12:29,800 --> 00:12:33,120 Speaker 1: that was a place called Impresario Tech, which was actually 221 00:12:33,280 --> 00:12:36,480 Speaker 1: a medical device company that that was working on spun 222 00:12:36,640 --> 00:12:39,040 Speaker 1: research and sort of you know when you're as you 223 00:12:39,080 --> 00:12:41,520 Speaker 1: get older and your adrea sort of spine injury. They 224 00:12:41,559 --> 00:12:43,800 Speaker 1: had developed this sort of the best way for us 225 00:12:43,840 --> 00:12:46,400 Speaker 1: to understand and be like like a jello, you know, 226 00:12:46,600 --> 00:12:49,319 Speaker 1: a jello that you put in between your spine that 227 00:12:49,400 --> 00:12:51,400 Speaker 1: was like a shock absorber that would sort of help 228 00:12:51,920 --> 00:12:54,839 Speaker 1: leave and alleviate pain. Well, they were one of the 229 00:12:54,920 --> 00:12:57,400 Speaker 1: companies that that wants the money by jumping into the 230 00:12:57,440 --> 00:13:02,560 Speaker 1: helmet technology challenge, and I think that the machine learning 231 00:13:02,600 --> 00:13:04,880 Speaker 1: and the AI stuff is really interesting. One of the 232 00:13:04,920 --> 00:13:07,120 Speaker 1: coolest insights that we couldn't put into the article is 233 00:13:07,160 --> 00:13:10,040 Speaker 1: just that you know, we may not recognize it, but 234 00:13:10,080 --> 00:13:12,600 Speaker 1: they've changed how kickoffs are done in part to sort 235 00:13:12,640 --> 00:13:15,200 Speaker 1: of slow down collisions, which is a direct result of 236 00:13:15,240 --> 00:13:18,040 Speaker 1: the of the research. But another thing that they think 237 00:13:18,040 --> 00:13:20,719 Speaker 1: will change at some point is like they'll have all 238 00:13:20,720 --> 00:13:23,040 Speaker 1: this data and so eventually, you know, the way that 239 00:13:23,080 --> 00:13:25,360 Speaker 1: they do punt may change, Like you may not be 240 00:13:25,400 --> 00:13:27,880 Speaker 1: able to like double team a gunner on the edge 241 00:13:28,200 --> 00:13:30,480 Speaker 1: during a punt because they see that that's gonna create 242 00:13:30,520 --> 00:13:33,520 Speaker 1: more sort of injury models. But it maybe even something 243 00:13:33,720 --> 00:13:35,720 Speaker 1: long term where they want to get out in front 244 00:13:35,760 --> 00:13:37,880 Speaker 1: of where they may sort of like maybe the quarterback 245 00:13:37,920 --> 00:13:41,440 Speaker 1: sneak goes away, maybe bootlegs go away. I mean, there's 246 00:13:41,480 --> 00:13:44,960 Speaker 1: a real possibility that strategically how you play the game, 247 00:13:45,000 --> 00:13:47,600 Speaker 1: aside from going for the fourth down or going for two, 248 00:13:47,840 --> 00:13:51,320 Speaker 1: but actual formations maybe outlawed or actual play calls could 249 00:13:51,320 --> 00:13:53,440 Speaker 1: potentially be outlawed. I mean, it's hard for them to 250 00:13:53,440 --> 00:13:55,800 Speaker 1: sort of say that that will happen. But as they 251 00:13:55,880 --> 00:13:58,000 Speaker 1: get more data and they can sort of see that 252 00:13:58,040 --> 00:14:02,000 Speaker 1: there's a causal relationship between a certain playtop and certain 253 00:14:02,000 --> 00:14:04,680 Speaker 1: injury types, they're gonna go away from that. There's just 254 00:14:05,600 --> 00:14:08,040 Speaker 1: it's just a natural thing that will happen. The other 255 00:14:08,080 --> 00:14:10,400 Speaker 1: thing that they can do eventually that they're gonna be 256 00:14:10,400 --> 00:14:13,120 Speaker 1: able to do probably within five years, if not less, 257 00:14:13,679 --> 00:14:16,160 Speaker 1: as they can go to certain players and say, like, look, 258 00:14:16,320 --> 00:14:19,120 Speaker 1: based off the way you move, based off the way 259 00:14:19,200 --> 00:14:22,080 Speaker 1: you run, based off the way you come out of breaks, 260 00:14:22,360 --> 00:14:25,200 Speaker 1: you need to use this shoot or you need to 261 00:14:25,280 --> 00:14:28,240 Speaker 1: change your gate or the way that you operate, because 262 00:14:28,600 --> 00:14:30,680 Speaker 1: it's gonna make you, you you know, just making up a 263 00:14:30,720 --> 00:14:33,920 Speaker 1: number here, six percent more likely to have a knee injury. 264 00:14:34,440 --> 00:14:38,280 Speaker 1: Like that's how That's how deep the data is gonna go. 265 00:14:38,480 --> 00:14:41,920 Speaker 1: And two Gym's earlier point like this goes far beyond 266 00:14:42,040 --> 00:14:44,000 Speaker 1: just like you know, pumping up more threes during an 267 00:14:44,080 --> 00:14:47,360 Speaker 1: NBA game. It's gonna really come down to, like really 268 00:14:47,360 --> 00:14:49,400 Speaker 1: trying to figure out to keep these guys on the field, 269 00:14:49,400 --> 00:14:51,320 Speaker 1: because I don't think anybody believes that they're not gonna 270 00:14:51,320 --> 00:14:54,760 Speaker 1: go to eight team games eventually, right, So and and Michael, 271 00:14:54,800 --> 00:14:57,440 Speaker 1: you brought up a very good point and Jim about 272 00:14:57,480 --> 00:15:01,480 Speaker 1: how the game has changed back you know, before the 273 00:15:01,560 --> 00:15:04,960 Speaker 1: a f L and NFL merged, the NFL was that 274 00:15:05,080 --> 00:15:08,880 Speaker 1: old pounding ground game and you know, you know, three 275 00:15:08,960 --> 00:15:11,520 Speaker 1: yards and a cloud of dust and this and that whatever. 276 00:15:12,200 --> 00:15:15,400 Speaker 1: The a f L they're the guys that kind of 277 00:15:15,400 --> 00:15:19,200 Speaker 1: brought the airing out of the football. And that is 278 00:15:19,360 --> 00:15:21,920 Speaker 1: to me, now I could be dead wrong. Is when 279 00:15:21,920 --> 00:15:24,720 Speaker 1: we started to see an increase more in these injuries. 280 00:15:24,720 --> 00:15:27,880 Speaker 1: I'm I'm not talking about the usual you know, bruise 281 00:15:27,960 --> 00:15:30,560 Speaker 1: and this and that whatever, but I'm i mean very 282 00:15:30,600 --> 00:15:33,440 Speaker 1: serious injuries from legs and this and that whatever. In fact, 283 00:15:33,520 --> 00:15:38,200 Speaker 1: there was a time when players, Jim said, don't hit 284 00:15:38,240 --> 00:15:42,680 Speaker 1: me low, hit me high, and now that is totally changed. Yeah, 285 00:15:42,720 --> 00:15:46,960 Speaker 1: you know it's um, I I was just thinking about 286 00:15:47,280 --> 00:15:50,640 Speaker 1: three yards and a cloud of dust, you know. But 287 00:15:50,880 --> 00:15:54,000 Speaker 1: you know, it reminds me of of rugby. You know, 288 00:15:54,200 --> 00:15:59,120 Speaker 1: these guys are huge, um they get in these massive scrums, 289 00:15:59,600 --> 00:16:02,360 Speaker 1: but they're not wearing helmets. You know. It's it's these 290 00:16:02,440 --> 00:16:06,800 Speaker 1: plays where you've got really fast, really strong human beings 291 00:16:07,000 --> 00:16:09,800 Speaker 1: running at each other at full speed, um, you know, 292 00:16:09,880 --> 00:16:14,160 Speaker 1: and I mean the forward past certainly brought that into 293 00:16:14,560 --> 00:16:18,440 Speaker 1: into modern days, sort of like NFL plays. If you're 294 00:16:18,480 --> 00:16:21,200 Speaker 1: just like you know, if you're running the ball all 295 00:16:21,240 --> 00:16:23,280 Speaker 1: the time, I think you're all kind of like in 296 00:16:23,320 --> 00:16:27,600 Speaker 1: close proximity, you're not going to have those massive collisions. 297 00:16:27,640 --> 00:16:31,080 Speaker 1: And that's certainly, um why they have in recent years 298 00:16:31,120 --> 00:16:34,440 Speaker 1: changed those kickoff rules. You can't get such a big 299 00:16:34,520 --> 00:16:36,720 Speaker 1: running start. You you only get like a five yard 300 00:16:36,800 --> 00:16:39,640 Speaker 1: running start. I I have a hard time believing that 301 00:16:39,640 --> 00:16:42,640 Speaker 1: that's gonna um, you know, there's there won't be. I 302 00:16:42,640 --> 00:16:45,600 Speaker 1: believe there will be changes coming to that play in 303 00:16:45,720 --> 00:16:51,160 Speaker 1: the years. The game always evolves. Yeah, And and Jim, 304 00:16:51,720 --> 00:16:55,880 Speaker 1: you brought up a point in Michael about practice, and 305 00:16:56,360 --> 00:16:59,080 Speaker 1: because of all of this going on with the player, 306 00:16:59,800 --> 00:17:02,920 Speaker 1: they realized, look, we gotta limit practice, especially when you 307 00:17:03,040 --> 00:17:06,639 Speaker 1: first come back for the first several days, because guys 308 00:17:06,680 --> 00:17:09,000 Speaker 1: were getting injured. You know, back in the old day, 309 00:17:09,040 --> 00:17:10,760 Speaker 1: it's like, all right, now, go out there and eat 310 00:17:10,760 --> 00:17:13,320 Speaker 1: some nails and glass and go out there on the field, 311 00:17:13,920 --> 00:17:17,000 Speaker 1: and and you know, and guys were getting hurt. And 312 00:17:17,000 --> 00:17:19,440 Speaker 1: then they realized, wait a minute, we gotta we gotta 313 00:17:19,480 --> 00:17:22,560 Speaker 1: tone this down, Like, yeah, I think that's right, and 314 00:17:22,600 --> 00:17:25,240 Speaker 1: I think like there was an article recently out of 315 00:17:25,280 --> 00:17:28,119 Speaker 1: Minnesota about how they've done a really good job of 316 00:17:28,240 --> 00:17:31,400 Speaker 1: managing their sort of in season practices and then coming 317 00:17:31,440 --> 00:17:34,240 Speaker 1: off a bye week, they hadn't had contact since the 318 00:17:34,320 --> 00:17:36,639 Speaker 1: game in almost ten days, and so they knew that 319 00:17:36,680 --> 00:17:38,800 Speaker 1: they had They knew that they had to put the 320 00:17:38,800 --> 00:17:41,119 Speaker 1: pads on, because there is an element where you do 321 00:17:41,160 --> 00:17:42,520 Speaker 1: have to put the paths on. You have to do 322 00:17:42,600 --> 00:17:44,800 Speaker 1: a couple of a couple of rough plays, a couple 323 00:17:44,800 --> 00:17:47,760 Speaker 1: of rough practices. But the teams are getting smarter about 324 00:17:47,760 --> 00:17:49,680 Speaker 1: the fact that you just can't continue to do that 325 00:17:49,840 --> 00:17:52,760 Speaker 1: deeper and deeper into the season. And so I think 326 00:17:52,760 --> 00:17:54,360 Speaker 1: that's what you just see. Like a lot of other 327 00:17:54,440 --> 00:17:56,560 Speaker 1: things will sort of take that place. Will be sort 328 00:17:56,560 --> 00:17:59,480 Speaker 1: of more book learning, will be more sort of film watching. 329 00:18:00,000 --> 00:18:01,920 Speaker 1: It's going to be more of a of an emphasis 330 00:18:02,000 --> 00:18:04,680 Speaker 1: on those kinds of things to sort of try to 331 00:18:04,760 --> 00:18:07,320 Speaker 1: keep guys as fresh as possible for as long as possible. 332 00:18:08,040 --> 00:18:10,120 Speaker 1: And Jim, I know we're running out of time, but 333 00:18:10,440 --> 00:18:13,200 Speaker 1: it's one of those things too. All of these analytics 334 00:18:13,840 --> 00:18:16,719 Speaker 1: will also help, and I think we've mentioned it just 335 00:18:16,840 --> 00:18:21,520 Speaker 1: for a brief moment on how the broadcasters will present 336 00:18:21,640 --> 00:18:23,640 Speaker 1: the game. I mean, you know, back in my day 337 00:18:23,800 --> 00:18:27,000 Speaker 1: is like oh in living color, look out, we got 338 00:18:27,040 --> 00:18:29,960 Speaker 1: to my tech here. And now then they had the 339 00:18:30,040 --> 00:18:34,560 Speaker 1: overhead cam that came in eventually, and now they're they're 340 00:18:34,600 --> 00:18:38,280 Speaker 1: trying to get the analytics from all of this information 341 00:18:38,480 --> 00:18:41,360 Speaker 1: on how to get the best camera. Yeah. I mean, 342 00:18:41,680 --> 00:18:42,760 Speaker 1: you know, I don't know if it's going to be 343 00:18:42,840 --> 00:18:45,960 Speaker 1: a better experience for the fans, to be honest, um, 344 00:18:45,960 --> 00:18:52,400 Speaker 1: but it's going to help the sponsors and the advertisers. No. Uh, 345 00:18:52,440 --> 00:18:55,119 Speaker 1: you know what what what what's there? As one of 346 00:18:55,160 --> 00:18:58,040 Speaker 1: them put it, the overall value proposition, which is a 347 00:18:58,080 --> 00:19:01,520 Speaker 1: great phrase, you know, exact play what that means? You know, 348 00:19:01,520 --> 00:19:03,040 Speaker 1: it's like are we getting or what what kind of 349 00:19:03,040 --> 00:19:05,800 Speaker 1: bank are we getting for our buck? Mike, you talked 350 00:19:05,840 --> 00:19:07,880 Speaker 1: to the guy who is one of the main uh 351 00:19:08,119 --> 00:19:10,640 Speaker 1: or one of the guys who's developing the software. I mean, 352 00:19:11,440 --> 00:19:14,800 Speaker 1: you know, they can they can tell I'm not gonna 353 00:19:14,800 --> 00:19:17,080 Speaker 1: steal your your thunder, I don't think, Mike, but you know, 354 00:19:17,200 --> 00:19:19,800 Speaker 1: if you're a golfer, they can tell if if like 355 00:19:19,840 --> 00:19:22,520 Speaker 1: the sponsor, if they should be on the hat or 356 00:19:22,640 --> 00:19:24,680 Speaker 1: on the sleeve or the left sleeve or the rights 357 00:19:24,760 --> 00:19:28,720 Speaker 1: leave Mike what what what else? Yeah, they I mean 358 00:19:28,720 --> 00:19:30,639 Speaker 1: they've got that. All what they can do is they 359 00:19:30,640 --> 00:19:33,280 Speaker 1: can calibrate down to this second, you know how much 360 00:19:33,280 --> 00:19:36,080 Speaker 1: exposure your brand is getting. But they can also and 361 00:19:36,119 --> 00:19:38,520 Speaker 1: there's a lot of there's a lot of money involved 362 00:19:38,520 --> 00:19:41,160 Speaker 1: in that from both sides. So the company can double dip. 363 00:19:41,280 --> 00:19:43,119 Speaker 1: They can go to the sponsor and say like, look 364 00:19:43,200 --> 00:19:46,600 Speaker 1: like Justin Thomas needs to have that logo on his 365 00:19:46,760 --> 00:19:49,000 Speaker 1: left sleeve and not on his hat. That's how you 366 00:19:49,000 --> 00:19:51,159 Speaker 1: can get the most money. But they can also go 367 00:19:51,280 --> 00:19:53,439 Speaker 1: to the They can also go to broadcast, or they 368 00:19:53,440 --> 00:19:55,399 Speaker 1: can go to any of the broadcasters and said like, 369 00:19:55,560 --> 00:19:59,240 Speaker 1: look like you're overpaying for these rods because you're you know, 370 00:19:59,240 --> 00:20:01,159 Speaker 1: you're only getting this much money and this is how 371 00:20:01,240 --> 00:20:03,240 Speaker 1: much that they're getting exposures. So they get to double 372 00:20:03,280 --> 00:20:05,400 Speaker 1: dip on both ends and tell people how to do 373 00:20:05,480 --> 00:20:08,359 Speaker 1: all that stuff. But then the other thing that was 374 00:20:08,400 --> 00:20:10,600 Speaker 1: really a little bit orwell and about it was like 375 00:20:10,680 --> 00:20:13,120 Speaker 1: they can do a screen graph. They've got software where 376 00:20:13,119 --> 00:20:15,520 Speaker 1: they could do a screen grab literally of a of 377 00:20:15,560 --> 00:20:18,840 Speaker 1: a venue, of a stadium an arena, and in that 378 00:20:19,000 --> 00:20:21,000 Speaker 1: screen grap they can tell you how many people are 379 00:20:21,000 --> 00:20:23,159 Speaker 1: actually engaged with the action on the court or on 380 00:20:23,200 --> 00:20:26,280 Speaker 1: the field, you know, based on and like within seconds, 381 00:20:26,320 --> 00:20:29,720 Speaker 1: based off this proprietary algorithm they've invented so that you know, 382 00:20:29,760 --> 00:20:31,239 Speaker 1: you can see how many people are actually looking at 383 00:20:31,240 --> 00:20:33,080 Speaker 1: their phones and looking at the field. But then they 384 00:20:33,080 --> 00:20:35,320 Speaker 1: can tell you all the demographic data of the people 385 00:20:35,480 --> 00:20:40,000 Speaker 1: inside the arena as well, and they can tell you male, female, age, race, 386 00:20:40,520 --> 00:20:42,600 Speaker 1: They can tell you how many people are actually I 387 00:20:42,600 --> 00:20:44,679 Speaker 1: didn't know this was a thing until the reporting, but 388 00:20:44,720 --> 00:20:47,080 Speaker 1: there are people that actually look up highlights during the 389 00:20:47,119 --> 00:20:49,840 Speaker 1: game of the games they're watching on YouTube, so they 390 00:20:49,880 --> 00:20:52,240 Speaker 1: can tell you what the san engagement is on social 391 00:20:52,280 --> 00:20:56,400 Speaker 1: media and on YouTube of an actual game that they're watching. 392 00:20:56,560 --> 00:20:59,200 Speaker 1: They can collect all that and that's where that overall 393 00:20:59,280 --> 00:21:02,239 Speaker 1: value probably issu Jo talk about comes in. They can 394 00:21:02,359 --> 00:21:06,840 Speaker 1: give all that to different arenas or broadcasters, and it's 395 00:21:06,880 --> 00:21:09,320 Speaker 1: just a way to really sort of maximize as much 396 00:21:09,320 --> 00:21:14,960 Speaker 1: money as possible. Obviously. Wow. Bloomberg Business Week contributor Michael 397 00:21:15,040 --> 00:21:19,760 Speaker 1: Crowley Bloomberg pursuits Deputy editor Jim Gatty laying some knowledge 398 00:21:19,800 --> 00:21:22,800 Speaker 1: on US man, I have really enjoyed this. By the way, 399 00:21:22,880 --> 00:21:26,399 Speaker 1: this story is featured in the current issue of Bloomberg 400 00:21:26,440 --> 00:21:30,600 Speaker 1: Business Week magazine, which is the Year Ahead issue, and 401 00:21:30,640 --> 00:21:35,199 Speaker 1: it's available online at Bloomberg dot com, on newsstands, and 402 00:21:35,240 --> 00:21:38,760 Speaker 1: of course, on the Bloomberg terminal. Jim, Michael, thank you 403 00:21:38,840 --> 00:21:40,760 Speaker 1: so much for joining us. We really do appreciate it. 404 00:21:40,840 --> 00:21:43,560 Speaker 1: Right here on the Bloomberg Business of Sports. This has 405 00:21:43,560 --> 00:21:46,320 Speaker 1: been the Bloomberg Business of Sports podcast where we explore 406 00:21:46,359 --> 00:21:47,680 Speaker 1: some of the big money issues in the world of 407 00:21:47,720 --> 00:21:50,520 Speaker 1: sports at Michael Barr. By the way, you can download 408 00:21:50,520 --> 00:21:54,560 Speaker 1: this show every Monday, Wednesday and Thursday. And by the way, 409 00:21:54,600 --> 00:22:01,320 Speaker 1: you can download it wherever you get your podcasts. Four