1 00:00:05,000 --> 00:00:07,160 Speaker 1: Are you the cheapest player on the team. Do we 2 00:00:07,200 --> 00:00:08,959 Speaker 1: need to use the word cheap or can we use 3 00:00:09,000 --> 00:00:12,800 Speaker 1: the word frugal? I understand this is you know, probably 4 00:00:12,800 --> 00:00:14,920 Speaker 1: not good for my head, but this is what I'm doing. 5 00:00:16,280 --> 00:00:20,640 Speaker 1: Oh hell, now are we allowed to curse? Sure? Yeah, 6 00:00:20,640 --> 00:00:35,760 Speaker 1: it's welcome into the lounge. I am Ryan Mink and 7 00:00:35,800 --> 00:00:39,000 Speaker 1: I'm Garrett Downing, and today we were going to get 8 00:00:39,040 --> 00:00:41,120 Speaker 1: away from football a little bit. I don't know that 9 00:00:41,159 --> 00:00:43,560 Speaker 1: there's going to be a single football question on here, 10 00:00:43,600 --> 00:00:46,120 Speaker 1: So for all you die hards, you know, you can 11 00:00:46,120 --> 00:00:48,040 Speaker 1: wait till the next podcast or catch up on some 12 00:00:48,080 --> 00:00:50,519 Speaker 1: old podcasts. This is also a way to get to 13 00:00:50,600 --> 00:00:52,199 Speaker 1: go some of these guys off the field. That's what 14 00:00:52,240 --> 00:00:55,080 Speaker 1: we want to do exactly, and quite honestly, when you're 15 00:00:55,160 --> 00:00:58,200 Speaker 1: riding a three game losing streak, we can talk about 16 00:00:58,240 --> 00:01:02,160 Speaker 1: some other stuff. It's a nicer free from just dialing 17 00:01:02,160 --> 00:01:04,160 Speaker 1: into the XS and and what's wrong with the offense 18 00:01:04,160 --> 00:01:07,120 Speaker 1: and holding penalties else. You don't need to hear me 19 00:01:07,200 --> 00:01:11,520 Speaker 1: ranting and screaming anymore. Uh yeah, you hear enough of it. 20 00:01:11,840 --> 00:01:15,640 Speaker 1: Today we welcome in a favorite of mine, John Hershel. 21 00:01:15,959 --> 00:01:17,959 Speaker 1: We know you're a smart guy, so we will give 22 00:01:18,000 --> 00:01:20,320 Speaker 1: you credit for being the smartest of the three people 23 00:01:20,360 --> 00:01:23,200 Speaker 1: sitting on the couch today. But the real question is 24 00:01:23,200 --> 00:01:26,319 Speaker 1: who's number two? Who are you giving number two? That's 25 00:01:26,360 --> 00:01:30,720 Speaker 1: a good question. Yeah, uh huh, don't blow it. Don't 26 00:01:30,760 --> 00:01:33,440 Speaker 1: blow it here, it's really easy question. I don't know 27 00:01:33,480 --> 00:01:36,080 Speaker 1: why you're struggling so much over this one. I'm gonna 28 00:01:36,120 --> 00:01:39,920 Speaker 1: go minke. Yeah, what's up with that? I just gotta 29 00:01:39,959 --> 00:01:43,120 Speaker 1: go with my boy. That's unreal. Now, so Suns said, 30 00:01:43,160 --> 00:01:45,279 Speaker 1: I beat you in a fight. John says, I'm smarter 31 00:01:45,319 --> 00:01:47,040 Speaker 1: than you. Can we get the next person in here 32 00:01:47,120 --> 00:01:54,800 Speaker 1: just say I'm more successful or I'm done with these questions. Yeah, yeah, 33 00:01:54,840 --> 00:01:58,920 Speaker 1: that's just a makeup call. That's a makeup I'm back 34 00:01:58,960 --> 00:02:01,560 Speaker 1: on the board. I can I can kind of go 35 00:02:01,640 --> 00:02:06,440 Speaker 1: on your side when it's close, like oh wow, just 36 00:02:08,400 --> 00:02:10,679 Speaker 1: you can't even lie about wow wow. I feel a 37 00:02:10,720 --> 00:02:12,480 Speaker 1: little bit better today this. I would like the direction 38 00:02:12,480 --> 00:02:15,040 Speaker 1: where this is headed. I'd rather I'd rather have reputation 39 00:02:15,080 --> 00:02:16,720 Speaker 1: for you and beat you in a fight than being smarter. 40 00:02:16,840 --> 00:02:21,160 Speaker 1: I think I passed out. So talking about being smart, 41 00:02:21,760 --> 00:02:24,560 Speaker 1: very smart guy here sitting with us. Uh, and you're 42 00:02:24,600 --> 00:02:27,880 Speaker 1: working on your PhD program at M I T actively 43 00:02:27,880 --> 00:02:29,880 Speaker 1: working on that now, correct, I mean that's kind of 44 00:02:29,919 --> 00:02:34,040 Speaker 1: still ongoing in don't touch your math book in the 45 00:02:34,040 --> 00:02:36,520 Speaker 1: fall okay, all right, okay, but in the springs in 46 00:02:36,560 --> 00:02:40,280 Speaker 1: the spring? Okay. In Layman's terms, can you explain to 47 00:02:40,360 --> 00:02:44,560 Speaker 1: us what you're doing in math, what you're working on? Yeah. 48 00:02:43,800 --> 00:02:47,160 Speaker 1: I do a lot of stuff in theoretical computer science, 49 00:02:47,240 --> 00:02:52,000 Speaker 1: so using computers. And one of the big things that 50 00:02:52,120 --> 00:02:55,360 Speaker 1: I do is I work in artificial intelligence, which is 51 00:02:55,560 --> 00:03:00,799 Speaker 1: essentially teaching computers how to think for themselves. Very cool. 52 00:03:00,840 --> 00:03:02,880 Speaker 1: So what kind of things do you want these computers 53 00:03:02,919 --> 00:03:06,520 Speaker 1: to do? Well? I want them to be able to learn, 54 00:03:06,919 --> 00:03:10,240 Speaker 1: to be able to learn like a human learning. Yeah, 55 00:03:10,880 --> 00:03:15,880 Speaker 1: like a human learns from their past experiences, their examples, 56 00:03:16,400 --> 00:03:19,480 Speaker 1: and they extrapolate, and I want computers to be able 57 00:03:19,480 --> 00:03:23,160 Speaker 1: to do that. Give us an example. Okay, you're like 58 00:03:23,520 --> 00:03:28,519 Speaker 1: a baby. Stoves on. Yeah, you you still are babies. 59 00:03:29,400 --> 00:03:33,680 Speaker 1: You can follow us the stoves on. You touch the stove, 60 00:03:34,520 --> 00:03:40,920 Speaker 1: it's hot, you burn your hand, it hurts. Okay. Now 61 00:03:41,600 --> 00:03:45,720 Speaker 1: you're not by the stove, you're outside. You're by the grill, 62 00:03:46,520 --> 00:03:51,119 Speaker 1: and the grilla is on. That's not hot. Definitely not hot. 63 00:03:52,880 --> 00:03:56,360 Speaker 1: You've learned from the stove. You are not touching that 64 00:03:56,400 --> 00:04:00,760 Speaker 1: grill while it's hot with all those flames inside. That's learning. 65 00:04:01,000 --> 00:04:03,040 Speaker 1: How do we teach a computer that? How do we 66 00:04:03,080 --> 00:04:07,800 Speaker 1: teach a computer intuition and instincts like humans have. That's 67 00:04:07,880 --> 00:04:09,880 Speaker 1: very cool. I mean that is like the next kind 68 00:04:09,880 --> 00:04:12,120 Speaker 1: of step for us. I feel like like the next 69 00:04:12,160 --> 00:04:15,360 Speaker 1: technological step is that it feels, to be honest, it 70 00:04:15,400 --> 00:04:17,360 Speaker 1: feels like the Terminator movie. You mean, you know what 71 00:04:17,360 --> 00:04:19,400 Speaker 1: I mean? Like, I feel do you whoever people think 72 00:04:19,400 --> 00:04:21,920 Speaker 1: of artificial intelligence when whenever I think of AI, I 73 00:04:21,920 --> 00:04:24,680 Speaker 1: think of the Terminator movie where it's like robots on 74 00:04:24,680 --> 00:04:26,719 Speaker 1: the battlefield and they come to take over the world. 75 00:04:26,720 --> 00:04:29,480 Speaker 1: When you start talking about like robots learning and computers, 76 00:04:29,800 --> 00:04:31,400 Speaker 1: do you ever think about that and like could this 77 00:04:31,440 --> 00:04:33,400 Speaker 1: go wrong? You know? That's that's like that's a terminator. 78 00:04:33,440 --> 00:04:35,360 Speaker 1: You could be contributing to the end of the world. 79 00:04:36,480 --> 00:04:40,640 Speaker 1: You know. Jeremy always says that too good point. Uh No, 80 00:04:40,800 --> 00:04:47,400 Speaker 1: I'm not concerned about that because computers they aren't stupid, 81 00:04:48,320 --> 00:04:52,360 Speaker 1: but they aren't smart. They're only as stupid or smart 82 00:04:52,600 --> 00:04:58,640 Speaker 1: as the person who's coding them or using them. Won't 83 00:04:58,760 --> 00:05:03,400 Speaker 1: do anything that we don't teach it to do. But 84 00:05:03,400 --> 00:05:05,520 Speaker 1: but you're teaching them how to learn. So aren't they 85 00:05:05,560 --> 00:05:07,520 Speaker 1: learning on their own? Like learning stuff that you didn't 86 00:05:07,560 --> 00:05:12,720 Speaker 1: teach them, but we're teaching them to learn. Okay, all right, 87 00:05:13,200 --> 00:05:15,680 Speaker 1: this is Dr Frankenstein kind of stuff. I'm telling you. 88 00:05:15,720 --> 00:05:17,479 Speaker 1: I always think of whenever I think of AI and 89 00:05:17,560 --> 00:05:19,400 Speaker 1: like getting to that point, I always go back to 90 00:05:19,400 --> 00:05:21,920 Speaker 1: the Terminating movie and I'm always like, we're getting closure 91 00:05:21,960 --> 00:05:23,920 Speaker 1: to that. That's you know, it scares me a little bit, 92 00:05:24,040 --> 00:05:25,720 Speaker 1: freaks me out a little bit. I'm gonna be on 93 00:05:25,760 --> 00:05:29,960 Speaker 1: team Robot. Yeah, on program this thing. We're still back here. 94 00:05:30,480 --> 00:05:33,559 Speaker 1: So when when you were growing up, John, did you 95 00:05:33,720 --> 00:05:36,440 Speaker 1: ever have people like that made fun of you or 96 00:05:36,480 --> 00:05:38,719 Speaker 1: called you like a nerd? Or were people too scared 97 00:05:38,760 --> 00:05:43,000 Speaker 1: because you're too big. That's a good question. I got 98 00:05:43,080 --> 00:05:46,400 Speaker 1: really bullied when I was like little, an elementary school. 99 00:05:47,120 --> 00:05:49,640 Speaker 1: I mean I was big, but like you're an elementary school, 100 00:05:49,680 --> 00:05:51,480 Speaker 1: so I was kind of chunky. I was a chunky kid, 101 00:05:52,440 --> 00:05:55,359 Speaker 1: and I was you know, smart, and I was anti social. 102 00:05:55,400 --> 00:05:58,200 Speaker 1: I didn't really you know, talking to the social skills 103 00:05:58,200 --> 00:06:01,400 Speaker 1: weren't really there. But once I got to middle school, 104 00:06:01,560 --> 00:06:04,760 Speaker 1: I kind of grew into my body more, started playing 105 00:06:04,760 --> 00:06:10,440 Speaker 1: sports and like this is gonna sound strange, but for 106 00:06:10,520 --> 00:06:15,000 Speaker 1: me the best way to avoid like getting bullied when 107 00:06:15,000 --> 00:06:19,159 Speaker 1: I was a little kid, it was just fit in conformity. Man, oh, 108 00:06:19,560 --> 00:06:22,760 Speaker 1: I definite would guess that. Started playing sports and like 109 00:06:23,080 --> 00:06:24,800 Speaker 1: I was good to edit and I was just one 110 00:06:24,800 --> 00:06:26,719 Speaker 1: of the guys. Did you ever get in a fight 111 00:06:26,839 --> 00:06:31,520 Speaker 1: in grade school? Do you ever have no comment because 112 00:06:31,560 --> 00:06:36,280 Speaker 1: you're still like the principle might be listening. Right, So 113 00:06:36,520 --> 00:06:38,320 Speaker 1: what did you have? Did you have a T I 114 00:06:38,400 --> 00:06:40,000 Speaker 1: eight three? You had to have a T I a 115 00:06:40,080 --> 00:06:43,760 Speaker 1: D three, right, No, I had a t A four. Actually, 116 00:06:43,800 --> 00:06:45,000 Speaker 1: you know what I think? I had a T I 117 00:06:45,120 --> 00:06:47,440 Speaker 1: eighty four hang me down from my brother. But most 118 00:06:47,480 --> 00:06:49,640 Speaker 1: people had the t I e three was the one 119 00:06:49,720 --> 00:06:51,560 Speaker 1: that was the big one, right, four was like for 120 00:06:51,640 --> 00:06:56,480 Speaker 1: good mathematicians like John Actually not a thing of it 121 00:06:56,640 --> 00:06:59,599 Speaker 1: had eighty four, But eighty four was my baby. Okay, 122 00:06:59,640 --> 00:07:02,400 Speaker 1: that was you really took good care. Did you have 123 00:07:02,760 --> 00:07:04,440 Speaker 1: that game on it? Did you have what was it, 124 00:07:04,520 --> 00:07:07,880 Speaker 1: drug Wars? A You remember that game game drug Wars? 125 00:07:08,640 --> 00:07:11,520 Speaker 1: We didn't. In my high school, we had a lot 126 00:07:11,600 --> 00:07:14,840 Speaker 1: of games circulating that was not one of the market. 127 00:07:15,160 --> 00:07:19,120 Speaker 1: We had like Snake, right, we had their Snake like 128 00:07:20,080 --> 00:07:25,160 Speaker 1: a version of like Mario World or something. We had 129 00:07:25,280 --> 00:07:27,520 Speaker 1: like we had a lot of stuffy. Snake was my game. 130 00:07:27,600 --> 00:07:29,760 Speaker 1: Snake was pretty great. Snake was on point. That's like 131 00:07:31,040 --> 00:07:33,000 Speaker 1: Drug Wars is pretty good. Maybe that's just the saying 132 00:07:33,040 --> 00:07:35,720 Speaker 1: something about Rosingston High School right now, but that's what 133 00:07:35,760 --> 00:07:37,560 Speaker 1: I would play like when I was on JV, you know, 134 00:07:37,600 --> 00:07:39,560 Speaker 1: and I'm you're waiting for varsity to get done. You're 135 00:07:39,640 --> 00:07:41,080 Speaker 1: like everybody's on their T I A D three and 136 00:07:41,120 --> 00:07:44,360 Speaker 1: you like snaking it up. Yeah. I bet kids listening 137 00:07:44,400 --> 00:07:45,960 Speaker 1: now I don't even know about that because now it's 138 00:07:45,960 --> 00:07:47,240 Speaker 1: all on their phones, so they don't have to worry 139 00:07:47,240 --> 00:07:50,280 Speaker 1: about games like that. They definitely know about that. You 140 00:07:50,360 --> 00:07:52,440 Speaker 1: can't have your phones out in the middle of the class. 141 00:07:52,640 --> 00:07:57,320 Speaker 1: That's true that you gotta have Snake plus the calculator. 142 00:07:57,400 --> 00:07:59,480 Speaker 1: The really the best thing was with a calculator that 143 00:07:59,640 --> 00:08:02,040 Speaker 1: like you could plug in all kind of answers to 144 00:08:02,200 --> 00:08:04,360 Speaker 1: math quizzes and stuff. You just have the whole answer 145 00:08:04,440 --> 00:08:06,560 Speaker 1: sheet in your calculator. I would just look it up 146 00:08:06,600 --> 00:08:10,880 Speaker 1: at something. Then you didn't do that. Why would I 147 00:08:10,920 --> 00:08:14,640 Speaker 1: need to do that? Excellent points. So what what is 148 00:08:14,880 --> 00:08:17,720 Speaker 1: what is the smartest thing that you've ever done? John? 149 00:08:19,080 --> 00:08:25,640 Speaker 1: The smartest thing I've ever done? Uh, I know it's 150 00:08:25,640 --> 00:08:31,120 Speaker 1: a tough question. Definitely not play football. Uh, this is 151 00:08:31,120 --> 00:08:35,880 Speaker 1: a tougher question on your calculator. Yeah. I don't pretend 152 00:08:35,960 --> 00:08:38,719 Speaker 1: to make extremely smart decisions in life. I think the 153 00:08:38,760 --> 00:08:41,680 Speaker 1: smartest thing I've done is I've been good with my money. 154 00:08:42,520 --> 00:08:44,400 Speaker 1: We're gonna get into that later. That's like, I think 155 00:08:44,480 --> 00:08:46,360 Speaker 1: that's one of the smarter things. A lot of the 156 00:08:46,440 --> 00:08:50,000 Speaker 1: other things I do can be highly questionable, I think. 157 00:08:50,200 --> 00:08:52,080 Speaker 1: So what is the most highly question? What's the doubest 158 00:08:52,080 --> 00:09:00,960 Speaker 1: thing you've done? I've let's see, these are flooding more easily. Yeah, 159 00:09:02,480 --> 00:09:06,920 Speaker 1: there's there's there's a there's a good amount of them. Yeah. 160 00:09:07,760 --> 00:09:10,240 Speaker 1: I'm just gonna pass on that, all right. Would you 161 00:09:10,240 --> 00:09:12,720 Speaker 1: say would you say that? Like, you know, people talking 162 00:09:12,720 --> 00:09:15,480 Speaker 1: about book smarts and street smarts? Yeah, do you feel 163 00:09:15,559 --> 00:09:18,160 Speaker 1: like you're a good combination of both? And which one 164 00:09:18,280 --> 00:09:20,880 Speaker 1: are you smart, sir about? Do you have more book 165 00:09:20,880 --> 00:09:22,959 Speaker 1: smarts or more street smarts? I think I'm smart, sir 166 00:09:23,200 --> 00:09:28,640 Speaker 1: about the street smarts. Although I have book smarts. I 167 00:09:28,800 --> 00:09:32,360 Speaker 1: think I'm very good at, you know, taking the things 168 00:09:32,440 --> 00:09:34,800 Speaker 1: I know and applying them to things in the world 169 00:09:34,880 --> 00:09:38,240 Speaker 1: and being observant. A good example of that probably is 170 00:09:38,280 --> 00:09:41,480 Speaker 1: this birthday party trick you told us about the day. 171 00:09:42,120 --> 00:09:44,440 Speaker 1: Share share with people about this because you can make 172 00:09:44,480 --> 00:09:46,719 Speaker 1: some people some money with this one. Oh well, I 173 00:09:46,800 --> 00:09:48,559 Speaker 1: talk it to you, guys. Let's see how you remember it. 174 00:09:49,760 --> 00:09:52,760 Speaker 1: Remember you're you're the smart one. Well, we don't have 175 00:09:52,840 --> 00:09:54,240 Speaker 1: enough people in the room for me to fleece some 176 00:09:54,280 --> 00:09:56,559 Speaker 1: money off of Garris. That's unfortunate, all right, let's hear it. 177 00:09:56,600 --> 00:09:58,959 Speaker 1: All right. So my understanding is that if you go 178 00:09:59,080 --> 00:10:05,360 Speaker 1: to a party. What my understanding now you're trying to 179 00:10:05,440 --> 00:10:08,599 Speaker 1: blame me already, but is that if you go to 180 00:10:08,720 --> 00:10:11,559 Speaker 1: a party and there's when we looked it up, I 181 00:10:11,600 --> 00:10:15,240 Speaker 1: think it was twenty three or more people. If there's 182 00:10:15,280 --> 00:10:17,280 Speaker 1: twenty three people in the room, then you have a 183 00:10:17,360 --> 00:10:20,640 Speaker 1: fifty percent chance of there being two people with the 184 00:10:20,760 --> 00:10:23,880 Speaker 1: same birthday, not year, but they're born on the same 185 00:10:24,760 --> 00:10:28,199 Speaker 1: not day, but they have the same date. Yes except here, 186 00:10:31,360 --> 00:10:36,120 Speaker 1: And if you get above when I say three, then 187 00:10:36,200 --> 00:10:38,400 Speaker 1: you have a better than fifty percent chance. So if 188 00:10:38,400 --> 00:10:40,199 Speaker 1: you're in the room and there's thirty people, at the party, 189 00:10:40,559 --> 00:10:43,559 Speaker 1: you should say to somebody, Hey, I'll bet you a 190 00:10:43,720 --> 00:10:46,400 Speaker 1: hondo if you're a real high roller. I know, John 191 00:10:46,440 --> 00:10:48,320 Speaker 1: wouldn't make this kind of bets, Like a one dollar 192 00:10:48,600 --> 00:10:51,880 Speaker 1: kind of guy. You make a bet and say, you know, 193 00:10:51,960 --> 00:10:53,880 Speaker 1: I bet you a buck that there's somebody else in 194 00:10:53,920 --> 00:10:57,000 Speaker 1: this room. Two people have matching birthdays, and you probably 195 00:10:57,080 --> 00:10:58,800 Speaker 1: cash in on that beat, right, And it seems to 196 00:10:58,840 --> 00:11:01,080 Speaker 1: go against all intuition. You would think to say, there's 197 00:11:01,080 --> 00:11:02,920 Speaker 1: no way there's three six, five days a year. There's 198 00:11:02,960 --> 00:11:05,600 Speaker 1: only thirty people in this room. There's no way, right, 199 00:11:06,080 --> 00:11:09,640 Speaker 1: But the number of combinations just is crazy. Why am 200 00:11:09,720 --> 00:11:12,559 Speaker 1: I explaining math stuff here? This is why you're in 201 00:11:12,679 --> 00:11:14,839 Speaker 1: the lounge. See, this is why you're the smart one. 202 00:11:15,640 --> 00:11:20,719 Speaker 1: All right, I'll take that. That was a compliment. That's 203 00:11:20,760 --> 00:11:22,959 Speaker 1: so easy to please. Yeah, we're very petty around here. 204 00:11:24,320 --> 00:11:26,559 Speaker 1: So John, what was your first love? Would you say? 205 00:11:26,679 --> 00:11:29,599 Speaker 1: Was it math or football? Uh? I think it was 206 00:11:29,640 --> 00:11:33,520 Speaker 1: football because it was always good at math, Like throughout 207 00:11:33,800 --> 00:11:38,280 Speaker 1: school high school, I didn't really love math as like 208 00:11:39,360 --> 00:11:42,040 Speaker 1: as I knew it until I had to college. I 209 00:11:42,200 --> 00:11:44,800 Speaker 1: really love football in high school. So what was it 210 00:11:44,880 --> 00:11:48,360 Speaker 1: that ignited it in college? Uh? I didn't have anyone 211 00:11:48,440 --> 00:11:51,280 Speaker 1: telling me like what classes I had to take or 212 00:11:51,400 --> 00:11:53,040 Speaker 1: things like that. So I just got to college and 213 00:11:53,080 --> 00:11:55,520 Speaker 1: decided I was going to take a bunch of like 214 00:11:55,640 --> 00:11:57,959 Speaker 1: really hard math classes that I didn't have pre rex for, 215 00:11:58,720 --> 00:12:01,160 Speaker 1: just to like see how I did. And I really 216 00:12:01,480 --> 00:12:06,720 Speaker 1: like the challenge and I really like start to see 217 00:12:06,880 --> 00:12:12,160 Speaker 1: how math is just very rigorous and there's this language 218 00:12:12,240 --> 00:12:16,000 Speaker 1: that explains the world around us and how things are 219 00:12:16,080 --> 00:12:18,160 Speaker 1: the way they are. I mean, both these things kind 220 00:12:18,160 --> 00:12:19,760 Speaker 1: of have opened a lot of doors for you. Obviously, 221 00:12:19,800 --> 00:12:23,760 Speaker 1: football does that gives you a large audience, a large platform, 222 00:12:23,880 --> 00:12:27,480 Speaker 1: and so does the math. When you think it's all 223 00:12:27,520 --> 00:12:28,760 Speaker 1: said and done, do you think you're going to make 224 00:12:28,800 --> 00:12:31,240 Speaker 1: more of an impact in the world through football or 225 00:12:31,280 --> 00:12:35,079 Speaker 1: through math. Yeah, that's a good question. I'm going to 226 00:12:35,280 --> 00:12:42,000 Speaker 1: say I'm gonna make different impacts. So through football, I 227 00:12:42,120 --> 00:12:46,200 Speaker 1: think I reach a very broad audience and I reach 228 00:12:46,240 --> 00:12:49,320 Speaker 1: a lot of people, and in that respect, I'm touching 229 00:12:49,360 --> 00:12:51,880 Speaker 1: a lot of lives by trying to, you know, set 230 00:12:51,920 --> 00:12:56,440 Speaker 1: good examples in math, I think I hope I'm going 231 00:12:56,480 --> 00:12:58,880 Speaker 1: to prove you know, many good results that help push 232 00:12:58,920 --> 00:13:02,240 Speaker 1: the world forward, and then also try to inspire my students, 233 00:13:02,520 --> 00:13:05,040 Speaker 1: which is, you know, more local, but also I can 234 00:13:05,120 --> 00:13:08,959 Speaker 1: have a greater effect on them when you talk about like, like, 235 00:13:09,080 --> 00:13:12,360 Speaker 1: do you want to use math for the public good? 236 00:13:12,600 --> 00:13:14,360 Speaker 1: Like you know what I mean, Like, I guess artificial 237 00:13:14,360 --> 00:13:16,760 Speaker 1: intelligence would be that. I mean you can help people 238 00:13:17,160 --> 00:13:19,760 Speaker 1: like with disabilities for example, Like, what are some examples 239 00:13:19,760 --> 00:13:21,480 Speaker 1: where you want to use math for the public good 240 00:13:21,520 --> 00:13:23,760 Speaker 1: to push the world forward? Like you said, Yeah, so 241 00:13:23,920 --> 00:13:29,160 Speaker 1: this is always a tough question because math lies at 242 00:13:29,160 --> 00:13:33,560 Speaker 1: a certain level of abstraction, and there's always a gap 243 00:13:33,679 --> 00:13:40,240 Speaker 1: between the fundamental theoretical results and the practice, and there's 244 00:13:40,400 --> 00:13:44,880 Speaker 1: typically you know, people in between there. But let me 245 00:13:45,200 --> 00:13:49,120 Speaker 1: think of an example, uh, using artificial intelligence for the 246 00:13:49,320 --> 00:13:54,160 Speaker 1: common good. You're familiar with IBM S Watson. Yes, so 247 00:13:54,440 --> 00:13:59,319 Speaker 1: they actually use Watson in hospitals to help nurses make 248 00:13:59,440 --> 00:14:03,480 Speaker 1: diagnose season like what to do make better diagnosis? Right? 249 00:14:03,960 --> 00:14:06,400 Speaker 1: Can you talk a little bit about also how you 250 00:14:06,520 --> 00:14:08,640 Speaker 1: wanted to and all the work that you've already done 251 00:14:09,040 --> 00:14:12,000 Speaker 1: in getting youth more engaged in math and how important 252 00:14:12,040 --> 00:14:14,880 Speaker 1: that is to you. Yeah, I mean, it's it's something 253 00:14:14,920 --> 00:14:17,480 Speaker 1: I'm passionate about just because when I was a kid, 254 00:14:17,760 --> 00:14:21,400 Speaker 1: I was very talented in math. But I always felt 255 00:14:21,480 --> 00:14:26,280 Speaker 1: like I was left behind a little bit, uh, Like 256 00:14:26,440 --> 00:14:29,080 Speaker 1: I was kind of board in math class. Didn't see 257 00:14:29,720 --> 00:14:32,520 Speaker 1: the point, didn't see you know how it ties in. 258 00:14:32,600 --> 00:14:35,960 Speaker 1: And I try to show kids that even if you 259 00:14:36,000 --> 00:14:39,400 Speaker 1: don't become a scientist or a mathematician, knowing how to 260 00:14:39,480 --> 00:14:43,800 Speaker 1: think quantitatively can really help you and carry you throughout 261 00:14:43,840 --> 00:14:47,880 Speaker 1: your life. And I've teamed up with Texas Instruments is 262 00:14:47,920 --> 00:14:52,680 Speaker 1: a big one to try to show kids that math 263 00:14:52,840 --> 00:14:56,440 Speaker 1: matters and math, you know, is something you should invest in, right. 264 00:14:57,520 --> 00:14:59,240 Speaker 1: I think it's interesting when people look at you, they 265 00:14:59,280 --> 00:15:01,880 Speaker 1: see the see someone who has to be fully dedicated 266 00:15:01,920 --> 00:15:04,000 Speaker 1: to football to make it at this level, and you 267 00:15:04,080 --> 00:15:07,720 Speaker 1: have to be fully dedicated to your work mathematically to 268 00:15:08,080 --> 00:15:10,120 Speaker 1: achieve the success that you have in that area as well. 269 00:15:10,800 --> 00:15:12,560 Speaker 1: You know, there's not many people that can make it 270 00:15:12,800 --> 00:15:14,720 Speaker 1: as high and either field as you have. How do 271 00:15:14,800 --> 00:15:19,760 Speaker 1: you go about balancing that? Good question? I guess like 272 00:15:19,920 --> 00:15:28,160 Speaker 1: I love both of them, so that's seriously all I do. Like, yeah, 273 00:15:28,320 --> 00:15:31,960 Speaker 1: I just cut out everything else, well, like I played chess, 274 00:15:32,000 --> 00:15:35,520 Speaker 1: but like I cut out a lot of things, Like 275 00:15:37,640 --> 00:15:41,040 Speaker 1: I get very busy. Sometimes sometimes I don't see friends 276 00:15:41,120 --> 00:15:43,680 Speaker 1: like I should I haven't been the Minx game night 277 00:15:45,040 --> 00:15:49,400 Speaker 1: in a couple of moons. True true statement. So do 278 00:15:49,520 --> 00:15:51,920 Speaker 1: you I know you said you don't touch a math book, 279 00:15:51,960 --> 00:15:54,160 Speaker 1: but can you just like open a blank notebook and 280 00:15:54,240 --> 00:15:59,080 Speaker 1: just start doing math? Just start I don't know, doing 281 00:15:59,160 --> 00:16:01,760 Speaker 1: equations and stuff like and can you do that in 282 00:16:01,840 --> 00:16:06,920 Speaker 1: your spare time? Well, what do you mean, like I could? 283 00:16:07,080 --> 00:16:09,320 Speaker 1: I imagine you could. You can open a piece of 284 00:16:09,360 --> 00:16:12,920 Speaker 1: paper and I can do some long division seven plus four. 285 00:16:14,080 --> 00:16:16,240 Speaker 1: You know, I am pretty good at my multiplication tables, 286 00:16:16,280 --> 00:16:18,520 Speaker 1: and I thought about today on the podcast, just challenging 287 00:16:18,640 --> 00:16:31,480 Speaker 1: nine oh six, No, no, nine, that's there. I guess 288 00:16:31,480 --> 00:16:37,600 Speaker 1: I had one six yourself when looked over, I didn't. 289 00:16:37,640 --> 00:16:39,560 Speaker 1: I didn't even say a word, did I. It was 290 00:16:40,880 --> 00:16:43,760 Speaker 1: that's why we need here, That's why we need the character. 291 00:16:44,000 --> 00:16:46,120 Speaker 1: I was gonna say like two, you know, two times 292 00:16:46,160 --> 00:16:49,120 Speaker 1: two then like double just doubled up like four eight 293 00:16:49,280 --> 00:16:53,600 Speaker 1: sixteen thirty two sixty four one like that. You see 294 00:16:53,640 --> 00:16:56,400 Speaker 1: how quick that was good? At that quick? It was 295 00:16:56,560 --> 00:17:00,640 Speaker 1: two fifty six. There you go, yeah, twelve, okay, keep 296 00:17:00,640 --> 00:17:05,000 Speaker 1: going a thousand, twenty four, keep going. This is a 297 00:17:05,080 --> 00:17:11,360 Speaker 1: great podcast you play that you ever play block game? 298 00:17:12,080 --> 00:17:16,560 Speaker 1: Uh no, you don't. Don't you know twenty four challenge? Though, challenge? 299 00:17:16,560 --> 00:17:19,240 Speaker 1: What's that twenty four challenge? I was, I rocked it, 300 00:17:19,280 --> 00:17:21,200 Speaker 1: and I don't know what it's. You have to do 301 00:17:21,359 --> 00:17:24,120 Speaker 1: any so you have like a a card with four 302 00:17:24,240 --> 00:17:26,720 Speaker 1: numbers on it, right, and then you do any combination 303 00:17:26,880 --> 00:17:28,720 Speaker 1: using all four of those to get to twenty four, 304 00:17:28,840 --> 00:17:30,240 Speaker 1: and you have to explain it the first person that 305 00:17:30,280 --> 00:17:32,280 Speaker 1: figures it out like pas the card and you do 306 00:17:32,480 --> 00:17:35,000 Speaker 1: like you know, six times four minus two. You know, 307 00:17:36,200 --> 00:17:38,359 Speaker 1: like a modern game, there's like blocks and you like 308 00:17:38,440 --> 00:17:41,320 Speaker 1: can move them. I have not done that. It's it's fun. 309 00:17:41,440 --> 00:17:43,680 Speaker 1: Can you solve a Rubik's Cube really quickly? I used 310 00:17:43,720 --> 00:17:46,960 Speaker 1: to be able to both. Certain parts of it requires 311 00:17:46,960 --> 00:17:48,960 Speaker 1: some memorization, and I've just been laughed about it. I 312 00:17:49,040 --> 00:17:50,400 Speaker 1: used to be able to do it under a minute. 313 00:17:51,119 --> 00:17:53,680 Speaker 1: But like I don't. I don't think solving Rubik's cubes 314 00:17:53,680 --> 00:18:00,639 Speaker 1: are like impressive neither, Like I'm serious, like make you 315 00:18:00,720 --> 00:18:04,000 Speaker 1: could definitely do it if you just like but I could, 316 00:18:04,040 --> 00:18:05,680 Speaker 1: if you know what's that mean? I couldn't do it? 317 00:18:06,800 --> 00:18:09,959 Speaker 1: You can probably do. You could if you like studied 318 00:18:09,960 --> 00:18:11,359 Speaker 1: a little bit, you'd be you'd be able to do 319 00:18:11,440 --> 00:18:14,080 Speaker 1: it quick, all right, So I think the big thing 320 00:18:14,160 --> 00:18:16,760 Speaker 1: with you John to to steer this away from challenging 321 00:18:16,800 --> 00:18:19,600 Speaker 1: games and stuff like that is And what people say 322 00:18:19,640 --> 00:18:21,600 Speaker 1: to me all the time is like, this guy is 323 00:18:21,640 --> 00:18:23,680 Speaker 1: brilliant and he's going to contribute to the world with 324 00:18:23,800 --> 00:18:27,719 Speaker 1: his with his mind. Is he nervous about playing football? Now? 325 00:18:27,800 --> 00:18:31,280 Speaker 1: I'm not nervous about playing football? Okay? And why do 326 00:18:31,359 --> 00:18:34,200 Speaker 1: you feel that way? Because I mean, you know the studies, 327 00:18:34,720 --> 00:18:38,240 Speaker 1: and I'm sure you don't deny them, right, So why 328 00:18:38,280 --> 00:18:39,639 Speaker 1: do you feel like that? How are you able to 329 00:18:39,720 --> 00:18:44,040 Speaker 1: override that? Well, going back to your earlier question, Yeah, 330 00:18:44,040 --> 00:18:47,600 Speaker 1: I make a lot of stupid decisions sometimes. Would you 331 00:18:47,800 --> 00:18:50,639 Speaker 1: you put that in that category? Definitely? But it's you know, 332 00:18:50,680 --> 00:18:55,200 Speaker 1: it's my decision. Sometimes. I just I'm allowed to just 333 00:18:55,480 --> 00:18:58,760 Speaker 1: be a contradiction sometimes and just say I understand this 334 00:18:58,920 --> 00:19:01,240 Speaker 1: is you know, probably not good for my head, but 335 00:19:01,640 --> 00:19:04,560 Speaker 1: this is what I'm doing. Right. Do you remember last 336 00:19:04,640 --> 00:19:06,600 Speaker 1: year you had a concussion I think in training camp. Yeah, 337 00:19:06,760 --> 00:19:09,320 Speaker 1: it was, it was, it was, And I remember people 338 00:19:09,359 --> 00:19:12,640 Speaker 1: asking hardball basically like is this somebody that you worry 339 00:19:12,640 --> 00:19:15,200 Speaker 1: about maybe more than other players because he has obviously 340 00:19:15,280 --> 00:19:18,239 Speaker 1: a post career using his brain to at a very 341 00:19:18,320 --> 00:19:20,200 Speaker 1: high level. You would you ever set a number and 342 00:19:20,280 --> 00:19:22,920 Speaker 1: say if I have to, if I have three, whatever 343 00:19:23,040 --> 00:19:24,920 Speaker 1: that number is, and say if I reached that point, 344 00:19:25,000 --> 00:19:28,080 Speaker 1: I'm done. I think you know, having a number in 345 00:19:28,119 --> 00:19:30,520 Speaker 1: your head is kind of a tough thing. You have 346 00:19:30,600 --> 00:19:33,240 Speaker 1: to kind of gauge how these things go. I mean, 347 00:19:33,440 --> 00:19:35,680 Speaker 1: everyone has a limit when it comes to concussions, but 348 00:19:36,400 --> 00:19:38,240 Speaker 1: you got to kind of gauge it as it goes. 349 00:19:38,600 --> 00:19:40,320 Speaker 1: Was that one last year the first one you've ever had? 350 00:19:40,800 --> 00:19:43,200 Speaker 1: That is the second one I've ever had, The first 351 00:19:43,240 --> 00:19:45,159 Speaker 1: one in football I got in a pretty bad car 352 00:19:45,160 --> 00:19:48,240 Speaker 1: accident when I was in high school. Was there any 353 00:19:48,280 --> 00:19:50,240 Speaker 1: point last year when you had that one, and, like said, 354 00:19:50,240 --> 00:19:52,200 Speaker 1: it was another one that you're like, didn't make you 355 00:19:52,280 --> 00:19:56,680 Speaker 1: reconsider things at all. No. I was just really concerned 356 00:19:56,680 --> 00:20:00,600 Speaker 1: about getting better. That was really my just whole focus. 357 00:20:01,480 --> 00:20:03,200 Speaker 1: I was just trying to get right and it it 358 00:20:03,320 --> 00:20:05,920 Speaker 1: took me some time. Right, do you think that you're 359 00:20:05,920 --> 00:20:08,520 Speaker 1: going to play football as as long as you can? 360 00:20:08,800 --> 00:20:10,280 Speaker 1: You know, like you see some guys that they're out 361 00:20:10,320 --> 00:20:13,000 Speaker 1: here tryl slug Steve Smith Steve Smiths in the sixteenth 362 00:20:13,040 --> 00:20:15,560 Speaker 1: season and um do you think that you'll be one 363 00:20:15,560 --> 00:20:17,800 Speaker 1: of those guys that pushes it as far as you can? Oh? 364 00:20:18,200 --> 00:20:25,119 Speaker 1: Hell now, yeah, what I'm telling you you will not 365 00:20:25,400 --> 00:20:28,960 Speaker 1: see me out here in year sixteen. I promise you 366 00:20:30,040 --> 00:20:32,560 Speaker 1: there is not a chance. Have you seen like Marshall 367 00:20:32,680 --> 00:20:36,359 Speaker 1: Yonda's like body. It gets beat up, man, Yeah, it 368 00:20:36,480 --> 00:20:39,959 Speaker 1: gets beat up. You will not see me in year sixteen. Right, 369 00:20:40,280 --> 00:20:43,320 Speaker 1: I'm loving playing football. I'm gonna try to play as 370 00:20:43,440 --> 00:20:45,440 Speaker 1: long as I can within reason. You will not see 371 00:20:45,480 --> 00:20:49,120 Speaker 1: me in your six Is there a cat? Is there 372 00:20:49,119 --> 00:20:51,760 Speaker 1: a certain cat? There's a cap and it definitely comes 373 00:20:51,840 --> 00:20:56,560 Speaker 1: before sixteen. Alright, alright, So you talked about chess a 374 00:20:56,600 --> 00:20:58,480 Speaker 1: little bit, and I want to get back into that. 375 00:20:58,800 --> 00:21:01,399 Speaker 1: You battled one of the best chess players in the 376 00:21:01,480 --> 00:21:06,720 Speaker 1: world this past summer, Fabiano Corona Carolina, Carolina, thank you 377 00:21:06,840 --> 00:21:10,399 Speaker 1: very much. You don't mispronounce my boy's name. Like give 378 00:21:10,440 --> 00:21:12,680 Speaker 1: a lot of research for this podcast. You know I'm 379 00:21:12,720 --> 00:21:15,240 Speaker 1: not as embedded in the chess world as you are, 380 00:21:15,320 --> 00:21:17,720 Speaker 1: even though I almost did beat you in chess with friends, um, 381 00:21:17,960 --> 00:21:21,080 Speaker 1: but do not recall that. Can you tell us a 382 00:21:21,119 --> 00:21:23,040 Speaker 1: little bit? I you told me you kind of had 383 00:21:23,119 --> 00:21:25,720 Speaker 1: him on his Styes, were you pretty close with Fabiana? 384 00:21:26,880 --> 00:21:31,679 Speaker 1: I never told you that. I don't even know how 385 00:21:31,760 --> 00:21:34,560 Speaker 1: you made that? Was there another Was there another guy 386 00:21:34,600 --> 00:21:36,680 Speaker 1: that you always beat? Like some other really good player 387 00:21:36,800 --> 00:21:40,440 Speaker 1: stories getting better by the second here, I'm really just 388 00:21:40,520 --> 00:21:43,879 Speaker 1: tell me about playing chess with Yeah, I played with Bobby. 389 00:21:44,080 --> 00:21:47,800 Speaker 1: It was good, Fabby. Oh I'm sorry it's Bobby. He 390 00:21:47,960 --> 00:21:53,000 Speaker 1: beat me naturally, but great guy. He's a friend now 391 00:21:53,760 --> 00:21:56,679 Speaker 1: and uh, he's a good dude and he's doing well 392 00:21:56,760 --> 00:21:58,800 Speaker 1: on the chess circuit. If you were to invest all 393 00:21:58,840 --> 00:22:02,240 Speaker 1: your time into chess and a forget football, how good 394 00:22:02,320 --> 00:22:06,120 Speaker 1: could you be? Could you be? Like, forget football, forget math? Yeah, 395 00:22:06,200 --> 00:22:09,200 Speaker 1: forget If math helps you in chess, math well, I 396 00:22:09,240 --> 00:22:12,480 Speaker 1: mean I wouldn't say math necessarily helps you get a 397 00:22:14,680 --> 00:22:16,360 Speaker 1: smart helps you in chest. So if you're good at math, 398 00:22:16,400 --> 00:22:18,720 Speaker 1: you're more likely to be good in chest. I think, Okay, 399 00:22:19,359 --> 00:22:21,680 Speaker 1: you put all those things, football and math are out 400 00:22:21,680 --> 00:22:25,119 Speaker 1: the window, and you just national master at least guaranteed. 401 00:22:25,440 --> 00:22:27,920 Speaker 1: And how many national masters are there? I don't know 402 00:22:28,040 --> 00:22:30,200 Speaker 1: a good amount, But like, if all I do is chess, 403 00:22:30,440 --> 00:22:33,000 Speaker 1: I'm a national master for sure, and I think I 404 00:22:33,080 --> 00:22:37,800 Speaker 1: can probably become like maybe like a candidate master. Possibly 405 00:22:38,200 --> 00:22:42,560 Speaker 1: I am international master. Pretty sweet. There's a non zero 406 00:22:42,640 --> 00:22:44,600 Speaker 1: probability I could be a grand master, but I'm not 407 00:22:44,680 --> 00:22:48,400 Speaker 1: saying it's high. There's probably less perks for a grand 408 00:22:48,480 --> 00:22:51,639 Speaker 1: master than there is an NFL football player, though, and 409 00:22:51,760 --> 00:22:55,399 Speaker 1: a mathematician. Really you get you have a lot of 410 00:22:55,480 --> 00:22:58,239 Speaker 1: red carpet rolled out for you. Would you say, bro? 411 00:22:58,920 --> 00:23:04,000 Speaker 1: Think about it. You're like a professor. You're tenured, guaranteed salary, 412 00:23:04,200 --> 00:23:11,120 Speaker 1: not bad healthcare, university healthcare, that's good healthcare. Summer is off. 413 00:23:13,240 --> 00:23:15,040 Speaker 1: Think about now you got my attention. I might just 414 00:23:15,119 --> 00:23:18,960 Speaker 1: become a professor. What are you teaching people? I know 415 00:23:19,040 --> 00:23:26,159 Speaker 1: it's not journalism. Asked great questions about Bob's Do you 416 00:23:26,240 --> 00:23:30,760 Speaker 1: think that there could be a day that I ever 417 00:23:30,880 --> 00:23:34,000 Speaker 1: beat you in chess? Like I Do you remember when 418 00:23:34,040 --> 00:23:36,240 Speaker 1: I had you on the ropes one time? Yes? I did. 419 00:23:36,560 --> 00:23:38,840 Speaker 1: You can deny it all you did beat me? No? 420 00:23:39,160 --> 00:23:40,720 Speaker 1: But I said, do you remember when I had you 421 00:23:40,800 --> 00:23:44,720 Speaker 1: on the roops in chess with friends? Listen, you will 422 00:23:44,920 --> 00:23:49,040 Speaker 1: never beat me in chess never ever? How many times 423 00:23:49,080 --> 00:23:53,200 Speaker 1: did you say you've beaten me in chess? What? Like? Yeah? 424 00:23:53,240 --> 00:23:58,280 Speaker 1: I thought he was gonna say higher there we go. 425 00:23:59,040 --> 00:24:02,280 Speaker 1: If if I ever beat you in chess, yeah, will 426 00:24:02,320 --> 00:24:04,879 Speaker 1: you tweet from your account at Ryan Mink is smarter 427 00:24:05,000 --> 00:24:09,000 Speaker 1: than me? And and if I never beat you, I'll 428 00:24:09,040 --> 00:24:12,720 Speaker 1: tweet this is really big of mew at. John c. 429 00:24:13,000 --> 00:24:16,240 Speaker 1: Rschel is smarter than me. When are you going to 430 00:24:16,400 --> 00:24:20,880 Speaker 1: tweet that when you're like eighty Yeah, eventually I'll get around. 431 00:24:21,000 --> 00:24:23,440 Speaker 1: Eventually you'll get around to it. Yea, and the world 432 00:24:23,480 --> 00:24:26,199 Speaker 1: will be shocked. I'm down. Okay, all right, we got 433 00:24:26,280 --> 00:24:29,080 Speaker 1: a nice little bit here. And do you remember that 434 00:24:29,200 --> 00:24:32,960 Speaker 1: when I beat you in board games Settlers of Catan? 435 00:24:33,600 --> 00:24:36,239 Speaker 1: Did you win Settlers once? Yes? I want to let 436 00:24:36,280 --> 00:24:40,440 Speaker 1: you know my record at game night is I think 437 00:24:40,480 --> 00:24:46,479 Speaker 1: I have the highest percentage. Maybe John John Lee always 438 00:24:47,119 --> 00:24:49,040 Speaker 1: he never wins. He wants to win so bad he 439 00:24:49,119 --> 00:24:53,520 Speaker 1: never wins. For all the board game nerds out there, Uh, John, 440 00:24:53,560 --> 00:24:56,000 Speaker 1: I are definitely board game nerds. All right, So John, 441 00:24:56,080 --> 00:24:59,080 Speaker 1: tell us we have the story time segment on this podcast. 442 00:25:00,119 --> 00:25:04,119 Speaker 1: Do you have a good story for us? Uh? Let 443 00:25:04,160 --> 00:25:08,280 Speaker 1: me think. Okay, So I'm in college and it's my 444 00:25:08,400 --> 00:25:10,800 Speaker 1: freshman year and I don't know what I want to major, 445 00:25:10,880 --> 00:25:14,920 Speaker 1: and I'm majoring in aerospace engineering. Because my mom told 446 00:25:14,960 --> 00:25:17,320 Speaker 1: me to because she said I was a genius and 447 00:25:17,520 --> 00:25:22,760 Speaker 1: genius should be rocket scientists. So I'm in this math class. 448 00:25:22,800 --> 00:25:27,840 Speaker 1: It's differential equations and we're solving some problem and it 449 00:25:27,960 --> 00:25:32,680 Speaker 1: results in a fifth order polynomial equation and the professor, 450 00:25:33,160 --> 00:25:36,560 Speaker 1: he's a PhD student, pauses and gives us time to 451 00:25:36,640 --> 00:25:40,000 Speaker 1: try to come up with the solutions. And uh, well, 452 00:25:40,040 --> 00:25:43,200 Speaker 1: I raised my hand and he's looking at me like 453 00:25:43,680 --> 00:25:45,560 Speaker 1: why are you raising your hands? So he calls on 454 00:25:45,680 --> 00:25:48,239 Speaker 1: me and I read all off the five roots. One 455 00:25:48,280 --> 00:25:50,600 Speaker 1: of them was real, and then uh there were two 456 00:25:50,960 --> 00:25:55,359 Speaker 1: complex pairs. And I told him to him and he 457 00:25:55,560 --> 00:25:58,840 Speaker 1: asked me, how did you come up with that? Like 458 00:25:59,000 --> 00:26:01,840 Speaker 1: there's no faru alla for getting the roots of a 459 00:26:01,880 --> 00:26:03,639 Speaker 1: fifth order of pollonomil And I just said, you know, 460 00:26:03,720 --> 00:26:06,520 Speaker 1: I just thought through it. And he told me I 461 00:26:06,680 --> 00:26:09,679 Speaker 1: was a lot smarter than him and that become a mathematician. 462 00:26:09,920 --> 00:26:14,040 Speaker 1: Oh wow, so's yeah, that's pretty awesome. All right. So 463 00:26:14,320 --> 00:26:16,120 Speaker 1: I want to get into a little bit more beyond 464 00:26:16,240 --> 00:26:18,760 Speaker 1: the smarts and all that and let people know about 465 00:26:18,840 --> 00:26:21,520 Speaker 1: John R. Shoulder person outside of all that stuff. We're 466 00:26:21,520 --> 00:26:24,879 Speaker 1: getting deep. Yeah we are. Uh so I understand you 467 00:26:25,000 --> 00:26:29,440 Speaker 1: are a big Fiona Apple fan? Oh you've you've touched 468 00:26:29,520 --> 00:26:33,680 Speaker 1: me at my core huge Fiona Apple fans okay. And 469 00:26:33,760 --> 00:26:36,120 Speaker 1: for all the listeners out there who don't know Fiona Apple, 470 00:26:36,240 --> 00:26:40,480 Speaker 1: which you probably should. But related artists on Spotify include Atlantis, 471 00:26:40,520 --> 00:26:45,240 Speaker 1: more Set, Natalie Merchant, Annie DiFranco, and that's not least 472 00:26:45,680 --> 00:26:49,359 Speaker 1: Cat Power. What was the big Fiona Apple song in 473 00:26:49,400 --> 00:26:52,720 Speaker 1: the nineties? What was the she had like Good? Which 474 00:26:52,880 --> 00:26:55,320 Speaker 1: I mean which one? There were so many? There was 475 00:26:55,359 --> 00:26:58,479 Speaker 1: like a big one, sleep to Dream, shadow Backs, Boxer, 476 00:26:58,560 --> 00:27:01,760 Speaker 1: shadow Boxer, money it I saw it was like number 477 00:27:01,800 --> 00:27:03,800 Speaker 1: one on your bucket list. You told somebody is to 478 00:27:03,880 --> 00:27:07,880 Speaker 1: meet a number one on your bucket list. Yeah, I'd 479 00:27:07,920 --> 00:27:12,520 Speaker 1: say that's like on my bucket list of like people 480 00:27:12,600 --> 00:27:18,040 Speaker 1: to meet, not like things. You play guitar, right, yeah? Well, 481 00:27:18,119 --> 00:27:20,600 Speaker 1: so are you pretty good? Yeah? I mean I've been 482 00:27:20,680 --> 00:27:25,360 Speaker 1: playing since high school. I admittedly I've been a little 483 00:27:25,480 --> 00:27:28,840 Speaker 1: lax in the past year or so. I've just I 484 00:27:28,840 --> 00:27:30,600 Speaker 1: don't know, I've gotten really busy and I don't know 485 00:27:30,720 --> 00:27:34,359 Speaker 1: why I know, and so I haven't really had time. 486 00:27:34,480 --> 00:27:37,240 Speaker 1: So you know, I haven't been playing lately. Do you 487 00:27:37,920 --> 00:27:39,639 Speaker 1: write your own music or do you cover songs or 488 00:27:39,640 --> 00:27:41,879 Speaker 1: what do you do. I'll cover songs also write my 489 00:27:41,960 --> 00:27:44,679 Speaker 1: own music, just kind of like blues jazz type stuff. 490 00:27:45,520 --> 00:27:47,720 Speaker 1: But it's it's been a little bit. What's your go to? 491 00:27:47,800 --> 00:27:50,840 Speaker 1: You're at a party, you break out the guitar. Camp fire. 492 00:27:51,920 --> 00:27:55,800 Speaker 1: I'm not a campfire. I'm not a big acoustic guy, 493 00:27:56,320 --> 00:27:59,040 Speaker 1: electric guy, so like I'm not a yeh, I don't 494 00:27:59,080 --> 00:28:01,040 Speaker 1: know why that's not. I mean, I can play your cups, 495 00:28:01,160 --> 00:28:03,359 Speaker 1: I can play things, but that's not my thing, right right, 496 00:28:03,720 --> 00:28:05,359 Speaker 1: all right? I want to get into how cheap you are? 497 00:28:05,960 --> 00:28:08,800 Speaker 1: Are you the cheapest player on the team. Do we 498 00:28:08,880 --> 00:28:10,600 Speaker 1: need to use the word cheap or can we use 499 00:28:10,640 --> 00:28:14,919 Speaker 1: the word frugal? Frugal? Sure? Are you most frugal player 500 00:28:15,400 --> 00:28:18,000 Speaker 1: on the team? Yes? Okay? Are you the most frugal 501 00:28:18,040 --> 00:28:24,639 Speaker 1: person you know? Yes, that's okay? True or false? You 502 00:28:24,720 --> 00:28:26,600 Speaker 1: stay in the team hotel for as long as humanly 503 00:28:26,680 --> 00:28:29,199 Speaker 1: possible instead of renting your own apartment so you can 504 00:28:29,200 --> 00:28:32,240 Speaker 1: stave on a couple of months rent true, okay? True 505 00:28:32,280 --> 00:28:34,560 Speaker 1: or false. You only have a few outfits and you 506 00:28:34,640 --> 00:28:37,840 Speaker 1: use a mathematical formula to rotate combinations to give yourself 507 00:28:38,360 --> 00:28:43,960 Speaker 1: a fresh look. How do you know that. True? Okay, sure? 508 00:28:44,000 --> 00:28:47,040 Speaker 1: Or false? You drive a tiny little Nie Sound versas 509 00:28:47,120 --> 00:28:49,200 Speaker 1: so you don't have to drive your football friends around 510 00:28:49,200 --> 00:28:52,520 Speaker 1: and thus can bum rise off of them. False. Oh, 511 00:28:53,000 --> 00:28:57,200 Speaker 1: my Nie Sound versus hatchback is surprisingly spacious. Okay, all right, 512 00:28:57,280 --> 00:28:58,920 Speaker 1: so they could ride in it if they want to, 513 00:28:59,080 --> 00:29:02,719 Speaker 1: but they really decline, or usually decline, although I give 514 00:29:02,800 --> 00:29:05,920 Speaker 1: Jeremy rides all the time and we fit just fine. 515 00:29:06,760 --> 00:29:12,560 Speaker 1: Hashtag Nissan versus Hatch great. Oh it's still kicking. Nice. 516 00:29:13,080 --> 00:29:16,560 Speaker 1: That's gonna last me through my whole career. You plan 517 00:29:16,640 --> 00:29:19,560 Speaker 1: it right into the ground, not into the ground, into 518 00:29:19,600 --> 00:29:23,320 Speaker 1: the sunset. Man. One time, John and I almost had 519 00:29:23,320 --> 00:29:25,880 Speaker 1: a wager, we're gonna go a month and see who's 520 00:29:26,080 --> 00:29:31,120 Speaker 1: more frugal, because I'm quite frugal myself. But John Trupp 521 00:29:31,200 --> 00:29:33,560 Speaker 1: was trying to cheat you. I don't I have a 522 00:29:33,680 --> 00:29:35,720 Speaker 1: wife who you know, wanted to go out, and I 523 00:29:35,800 --> 00:29:37,160 Speaker 1: had spent money on her. I don't think you were 524 00:29:37,200 --> 00:29:39,120 Speaker 1: dating anybody at the time, so you were living on 525 00:29:39,200 --> 00:29:44,040 Speaker 1: a single budget. You're putting on somebody else exactly. You're 526 00:29:44,440 --> 00:29:47,680 Speaker 1: seriously just gonna blame your wife right now, that's what 527 00:29:47,800 --> 00:29:51,080 Speaker 1: you're doing. Yes, if it were out. If they were 528 00:29:51,160 --> 00:29:54,560 Speaker 1: just mono imano, I would so out frugal you it 529 00:29:54,560 --> 00:29:57,600 Speaker 1: wouldn't even be close. So what do you do when 530 00:29:57,640 --> 00:29:59,640 Speaker 1: you go out to like dinner with teammates or something. 531 00:30:00,120 --> 00:30:02,040 Speaker 1: You go out with them they want to go somewhere nice, 532 00:30:02,040 --> 00:30:03,840 Speaker 1: to go to state place? Yeah. If if I go 533 00:30:03,920 --> 00:30:05,680 Speaker 1: out with teammates wherever they want to go, and I 534 00:30:06,200 --> 00:30:08,640 Speaker 1: chip in my fair share, Okay, that's you know, that's 535 00:30:08,680 --> 00:30:10,400 Speaker 1: just being a good dude. Yeah, I didn't know if 536 00:30:10,440 --> 00:30:11,959 Speaker 1: you like stopped off at Mickey D's on the way 537 00:30:12,080 --> 00:30:13,360 Speaker 1: kind of filled up and then you went there and 538 00:30:13,400 --> 00:30:15,840 Speaker 1: got like the shrimp cocktail And that was because I 539 00:30:15,920 --> 00:30:18,680 Speaker 1: did that. That's your I've been with make and he 540 00:30:18,760 --> 00:30:21,840 Speaker 1: does that. So change this change gears a little bit. 541 00:30:21,880 --> 00:30:24,080 Speaker 1: You just, uh, you're kind of in the news right now. 542 00:30:24,160 --> 00:30:26,800 Speaker 1: You just did this national commercial with the national commercial Post. 543 00:30:26,840 --> 00:30:31,680 Speaker 1: Oh yeah, So how was he to work with? School 544 00:30:31,800 --> 00:30:34,400 Speaker 1: was just you know, just a dude, just a guy? Yeah? 545 00:30:34,760 --> 00:30:36,600 Speaker 1: How was that the process? I mean, did you guys, 546 00:30:36,840 --> 00:30:38,560 Speaker 1: do you have a good time doing that commercial or what? Yeah? 547 00:30:38,560 --> 00:30:40,360 Speaker 1: It was fun. It didn't take long. It was only 548 00:30:40,440 --> 00:30:42,920 Speaker 1: like a half day and me and j J were 549 00:30:42,960 --> 00:30:46,040 Speaker 1: just hanging out having fun. Who's who's the better actor? 550 00:30:47,760 --> 00:30:51,240 Speaker 1: Definitely JJ, because I was not acting there that that 551 00:30:51,320 --> 00:30:55,560 Speaker 1: was just me being nice. What was the better one? 552 00:30:55,640 --> 00:30:57,520 Speaker 1: That one or the one where you danced for Gillette? 553 00:30:57,920 --> 00:31:01,040 Speaker 1: He's got so many, feel like I really like that one. 554 00:31:01,280 --> 00:31:03,840 Speaker 1: That was a good one. I don't have that many sponsors. 555 00:31:04,480 --> 00:31:07,920 Speaker 1: Feel free to add more if anybody listening to the podcast, Well, 556 00:31:07,960 --> 00:31:10,200 Speaker 1: we need to sponsor for the podcast first. Then if 557 00:31:10,240 --> 00:31:12,440 Speaker 1: we get extras, will send them your way. That goes 558 00:31:12,440 --> 00:31:13,840 Speaker 1: back to the frugal thing. You just gotta keep tho 559 00:31:13,880 --> 00:31:17,040 Speaker 1: sponsors coming in and if you get any extras, cinema way. 560 00:31:17,160 --> 00:31:21,120 Speaker 1: All right, So to wrap this up, kind of your 561 00:31:21,160 --> 00:31:24,160 Speaker 1: reputation is a player and a mathematicians opened a lot 562 00:31:24,200 --> 00:31:25,720 Speaker 1: of doors for you. What do you think is like 563 00:31:25,800 --> 00:31:27,960 Speaker 1: the coolest thing that has kind of come out of 564 00:31:28,040 --> 00:31:36,880 Speaker 1: all this for you? Uh? I think I've gotten to 565 00:31:36,960 --> 00:31:40,560 Speaker 1: meet a lot of like really elite chess players, which 566 00:31:40,560 --> 00:31:42,920 Speaker 1: has been really cool for me. I mean there's not 567 00:31:43,080 --> 00:31:44,920 Speaker 1: really a lot of like things I want to do 568 00:31:45,160 --> 00:31:48,200 Speaker 1: or like people i'd want to meet that I can't, right, Like, 569 00:31:48,360 --> 00:31:50,520 Speaker 1: I'm just not that type of guy. Right, Well, it's 570 00:31:50,520 --> 00:31:54,480 Speaker 1: been cool to meet some some chess players. Well, John, 571 00:31:54,600 --> 00:31:56,840 Speaker 1: thank you very much, buddy, we appreciate it. Thanks for 572 00:31:56,920 --> 00:31:59,960 Speaker 1: coming onto lounge. And you know, Garrett study up. Maybe 573 00:32:00,080 --> 00:32:01,720 Speaker 1: next time you can be I'm just glad I could. 574 00:32:02,000 --> 00:32:03,800 Speaker 1: Someone recognizes that I would beat you in a fight. 575 00:32:03,920 --> 00:32:06,800 Speaker 1: So make diversion back when every one come on, Thanks buddy. 576 00:32:08,320 --> 00:32:11,520 Speaker 1: Well John Erschell has just left, and now i am 577 00:32:11,760 --> 00:32:14,880 Speaker 1: the smartest person in the lamp. I'm still not sure 578 00:32:14,920 --> 00:32:18,440 Speaker 1: I agree with that. Yeah, it's just great fun. Yeah, great. 579 00:32:18,520 --> 00:32:21,160 Speaker 1: He's a He's an interesting person obviously, and I think 580 00:32:21,200 --> 00:32:23,520 Speaker 1: people probably today guy just a little bit, you know, 581 00:32:23,600 --> 00:32:25,320 Speaker 1: more of a understanding for who he is on and 582 00:32:25,360 --> 00:32:27,200 Speaker 1: off the field. Yeah. I've been lucky enough to get 583 00:32:27,240 --> 00:32:29,520 Speaker 1: to know him a little bit more kind of away 584 00:32:29,560 --> 00:32:31,040 Speaker 1: from the field. He's one of my guys. And he 585 00:32:31,120 --> 00:32:33,840 Speaker 1: and James Hurst. So for all you James Hurst bashers 586 00:32:33,880 --> 00:32:36,960 Speaker 1: out there, you know what, you can just make the 587 00:32:37,000 --> 00:32:40,160 Speaker 1: biggest hearst apologists in the world. I'm not an apologist. 588 00:32:40,280 --> 00:32:43,040 Speaker 1: I'm just a realist, all right. If you expect him 589 00:32:43,080 --> 00:32:45,840 Speaker 1: to shutdown Cleil Mac for no quarterback hits or her 590 00:32:45,960 --> 00:32:50,360 Speaker 1: pressures or anything, I mean, come on, geez, Louise, guys, 591 00:32:50,480 --> 00:32:52,720 Speaker 1: is a great guy. He and Ershell and you know 592 00:32:52,800 --> 00:32:55,680 Speaker 1: they've come down for some game nights at the mink Manor, 593 00:32:56,280 --> 00:32:58,920 Speaker 1: and I generally loses. Hurst is a really smart guy too, 594 00:32:59,680 --> 00:33:01,560 Speaker 1: which d of gets lost because he's really good friends 595 00:33:01,560 --> 00:33:06,280 Speaker 1: with Herschel and RSUs sharp, really sharp. If he came 596 00:33:06,360 --> 00:33:08,120 Speaker 1: in here, he would be the smartest guy in the lounge. 597 00:33:08,200 --> 00:33:13,240 Speaker 1: So uh yeah, good, just good people, really good interesting people. Yeah. Well, again, 598 00:33:13,280 --> 00:33:15,400 Speaker 1: thanks to John for joining us, and as always, you 599 00:33:15,480 --> 00:33:16,840 Speaker 1: guys want to let us know what you think of 600 00:33:16,880 --> 00:33:18,360 Speaker 1: the podcast. People you'd like to see on it in 601 00:33:18,440 --> 00:33:20,920 Speaker 1: future weeks, go ahead and email us at the lounge 602 00:33:21,000 --> 00:33:25,000 Speaker 1: at Ravens dot NFL dot net. Please rate, review, and 603 00:33:25,320 --> 00:33:29,040 Speaker 1: share this podcast with everybody. We're gonna keep trying to 604 00:33:29,040 --> 00:33:31,680 Speaker 1: hammer away and get Joe Flacca on here. He's I 605 00:33:31,760 --> 00:33:34,280 Speaker 1: got on him again. We're still in contract negotiations. We're 606 00:33:34,280 --> 00:33:37,040 Speaker 1: working with his agent. Only a matter of time, so 607 00:33:37,520 --> 00:33:39,480 Speaker 1: we'll be back with you next week, this time for 608 00:33:39,600 --> 00:33:42,240 Speaker 1: real skis after a win. Thanks not for listening.