1
00:00:00,160 --> 00:00:02,320
Speaker 1: It's time to get inside the Giants.

2
00:00:02,360 --> 00:00:08,200
Speaker 2: Hut, my giants, give me some job part of the

3
00:00:08,240 --> 00:00:09,720
Speaker 2: Giants Podcast Network.

4
00:00:09,800 --> 00:00:12,320
Speaker 1: Let's roll. We're back with other Giants Tottle podcasts from

5
00:00:12,360 --> 00:00:15,920
Speaker 1: the Combine in Indianapolis, John Smelt, Paul Latino, joined by

6
00:00:15,960 --> 00:00:18,880
Speaker 1: Cynthia Freeland. Who is the analytics Queen? Is that your

7
00:00:18,920 --> 00:00:20,759
Speaker 1: official title? Huh? End Network?

8
00:00:20,920 --> 00:00:22,599
Speaker 2: Yeah, well, princess, I'm not quite old enough to be

9
00:00:22,640 --> 00:00:22,960
Speaker 2: the queen.

10
00:00:23,040 --> 00:00:27,240
Speaker 1: Okay, I like it analytics for the NFL networks. You'll

11
00:00:27,280 --> 00:00:29,680
Speaker 1: be part of network's coverage of the Combine all weekend long.

12
00:00:29,720 --> 00:00:31,840
Speaker 1: Make sure you go check that out. Of course, John's

13
00:00:31,840 --> 00:00:33,840
Speaker 1: little podcast is brought to you by Citizens, the official

14
00:00:33,880 --> 00:00:36,160
Speaker 1: bank of the New York Football Giants. All right, Cynthia,

15
00:00:36,360 --> 00:00:39,520
Speaker 1: for you a numbers person, yep, what's the most important

16
00:00:39,560 --> 00:00:43,279
Speaker 1: thing that happens in Indianapolis for you as you do

17
00:00:43,600 --> 00:00:46,120
Speaker 1: your own version of draft evaluation of these players?

18
00:00:46,159 --> 00:00:49,360
Speaker 2: Well, from like a thirty thousand foot view, it's that

19
00:00:49,400 --> 00:00:52,480
Speaker 2: that stuff that I've been tracking from their games matches up. Yeah,

20
00:00:52,479 --> 00:00:55,480
Speaker 2: with what though you see them do here? Expectations expectations

21
00:00:55,520 --> 00:00:58,279
Speaker 2: like nothing needs to be perfect. There is actually very

22
00:00:58,320 --> 00:01:01,520
Speaker 2: little return on running like a for three forty. But

23
00:01:01,600 --> 00:01:03,800
Speaker 2: if you are a guy who looked fast when you

24
00:01:03,840 --> 00:01:06,720
Speaker 2: were running in college and you run slow here, it's like, wait, wait,

25
00:01:06,720 --> 00:01:08,959
Speaker 2: did I miss something? Or if you're a guy who

26
00:01:09,200 --> 00:01:11,760
Speaker 2: didn't look so fast at it, because sometimes it's a

27
00:01:11,760 --> 00:01:13,640
Speaker 2: function of what I was asked to do in college

28
00:01:13,880 --> 00:01:16,200
Speaker 2: that puts my Like JJ McCarthy's a good example of that, Like,

29
00:01:16,319 --> 00:01:18,039
Speaker 2: Michigan didn't ask him to do like a lot of

30
00:01:18,080 --> 00:01:20,120
Speaker 2: pro stuff, right, And then I asked one of their

31
00:01:20,600 --> 00:01:23,840
Speaker 2: staff members, Michigan. I'm from Michigan, so I know They're like,

32
00:01:24,000 --> 00:01:26,160
Speaker 2: we didn't need him to we needed to win games.

33
00:01:26,240 --> 00:01:27,080
Speaker 1: Right, You're like, got it.

34
00:01:27,160 --> 00:01:28,880
Speaker 2: So a lot of life is like what were you

35
00:01:28,880 --> 00:01:30,399
Speaker 2: asked to do and how did how well did you

36
00:01:30,400 --> 00:01:32,920
Speaker 2: do it? So as long as everything sort of matches,

37
00:01:32,959 --> 00:01:36,440
Speaker 2: and then you can start refining your measurements and judgments

38
00:01:36,520 --> 00:01:39,399
Speaker 2: of what you saw. But if something doesn't check out,

39
00:01:39,480 --> 00:01:41,640
Speaker 2: it's like a red flag, like, oh no, I must

40
00:01:41,680 --> 00:01:43,720
Speaker 2: have missed something. So it's it's a little bit more

41
00:01:43,720 --> 00:01:46,080
Speaker 2: of like a verification process than anything else.

42
00:01:46,120 --> 00:01:47,800
Speaker 1: Let me follow up on that, because now we get

43
00:01:47,840 --> 00:01:49,960
Speaker 1: all these GPS times from OECD, right, do you get

44
00:01:49,960 --> 00:01:51,080
Speaker 1: your hands on those two or no.

45
00:01:51,440 --> 00:01:54,400
Speaker 2: Tell you how do you just pick one? GPS provider

46
00:01:54,560 --> 00:01:58,800
Speaker 2: tries me crazy. Well, actually, provider, they're are like you

47
00:01:58,880 --> 00:02:01,760
Speaker 2: just got to look at relative values, right, So like

48
00:02:02,840 --> 00:02:03,640
Speaker 2: do these guys.

49
00:02:03,400 --> 00:02:05,880
Speaker 1: In your opinion do they match up? Or are there nos?

50
00:02:05,920 --> 00:02:08,359
Speaker 1: Oh that's a problem, and and every and and and.

51
00:02:08,400 --> 00:02:09,560
Speaker 2: Wait am I supposed to say yes?

52
00:02:09,840 --> 00:02:10,680
Speaker 1: Yes, absolutely not?

53
00:02:10,760 --> 00:02:12,840
Speaker 2: They all match up perfectly, there's nothing.

54
00:02:12,680 --> 00:02:16,000
Speaker 1: Wrong and pretty much every conference has a difference provider, correct.

55
00:02:16,200 --> 00:02:18,600
Speaker 2: So you just look at like the like, it's not

56
00:02:18,680 --> 00:02:21,280
Speaker 2: like they're so off that like a guy who looks

57
00:02:21,320 --> 00:02:23,600
Speaker 2: slow in the ACC is a guy who looks is

58
00:02:23,680 --> 00:02:27,120
Speaker 2: fast in the SEC. Like. They're just like you can't

59
00:02:27,240 --> 00:02:28,680
Speaker 2: line them up in order to be like this guy

60
00:02:28,720 --> 00:02:29,720
Speaker 2: is gonna run fast like.

61
00:02:29,840 --> 00:02:31,760
Speaker 1: But that's part of the comparison process, right, which is

62
00:02:31,800 --> 00:02:33,840
Speaker 1: my question. You look at the GPS on field numbers,

63
00:02:33,840 --> 00:02:36,200
Speaker 1: how often for you do those match up to the

64
00:02:36,240 --> 00:02:38,040
Speaker 1: forty stuff? And how often are they different?

65
00:02:38,680 --> 00:02:40,760
Speaker 2: The truth is is you don't really reach top Like

66
00:02:40,840 --> 00:02:42,800
Speaker 2: I use computer vision because I'm like, I don't trust

67
00:02:42,840 --> 00:02:45,840
Speaker 2: anyone else. I have trust issues. We're good, but the

68
00:02:45,840 --> 00:02:48,560
Speaker 2: computer vision to me, it's I measure everything with the

69
00:02:48,600 --> 00:02:51,120
Speaker 2: same stick, which means it's equally wrong. So I can't

70
00:02:51,120 --> 00:02:53,000
Speaker 2: tell you the expl like I wouldn't stand by, oh,

71
00:02:53,040 --> 00:02:56,000
Speaker 2: he's running twenty one point four to seven miles per hour.

72
00:02:56,240 --> 00:02:58,600
Speaker 2: What I would say is, Okay, this guy says twenty

73
00:02:58,639 --> 00:03:00,919
Speaker 2: one point four to seven and this guy says twenty

74
00:03:01,040 --> 00:03:03,920
Speaker 2: points so he's faster than that. Right, let's put them

75
00:03:03,919 --> 00:03:06,840
Speaker 2: in order. So it's less about like the explicit and

76
00:03:06,880 --> 00:03:09,200
Speaker 2: more about the like how you rank that, and then

77
00:03:09,440 --> 00:03:12,560
Speaker 2: take those on field numbers. And the problem is your

78
00:03:12,600 --> 00:03:15,960
Speaker 2: pads have a weight to them. Maybe you're running a

79
00:03:16,000 --> 00:03:18,000
Speaker 2: post or maybe you're running a go or maybe you're

80
00:03:18,040 --> 00:03:20,240
Speaker 2: running a of course plant like so there's just a

81
00:03:20,240 --> 00:03:22,160
Speaker 2: lot of variables that go on. And then by the way,

82
00:03:22,560 --> 00:03:25,280
Speaker 2: there's like now we are defenses, Like go watch Texas's defense.

83
00:03:25,320 --> 00:03:27,040
Speaker 2: They play a three three five, which means there's a

84
00:03:27,080 --> 00:03:28,960
Speaker 2: lot more space in the middlefield, which means now you're

85
00:03:29,000 --> 00:03:31,560
Speaker 2: running these intermediate routes that before wouldn't have been your

86
00:03:31,600 --> 00:03:33,440
Speaker 2: faster routes, but now they're suddenly really fast.

87
00:03:34,680 --> 00:03:35,120
Speaker 1: Okay.

88
00:03:35,200 --> 00:03:36,720
Speaker 2: So the point is is like you have to kind

89
00:03:36,720 --> 00:03:38,800
Speaker 2: of contect you based on the route tree and based

90
00:03:38,840 --> 00:03:39,840
Speaker 2: on what defense their.

91
00:03:39,760 --> 00:03:42,440
Speaker 3: Face you're ready for a change. Pay Day comes early

92
00:03:42,520 --> 00:03:45,960
Speaker 3: with citizens, So go to that retreat, knew you moves

93
00:03:46,000 --> 00:03:49,280
Speaker 3: to the country. Now you're raising goats and launching a

94
00:03:49,280 --> 00:03:52,480
Speaker 3: lifestyle brand. Are you ready for all that life brings?

95
00:03:55,160 --> 00:03:55,560
Speaker 1: Sonthia?

96
00:03:55,600 --> 00:03:59,040
Speaker 4: How many of the combine numbers are actually relevant to

97
00:03:59,120 --> 00:04:03,040
Speaker 4: your data? Because we know the different positions have different

98
00:04:03,080 --> 00:04:06,720
Speaker 4: relevance to different numbers. So do you actually take some

99
00:04:06,760 --> 00:04:08,480
Speaker 4: of them and say, lo, these don't fit into what

100
00:04:08,520 --> 00:04:09,560
Speaker 4: I'm trying to do anyway.

101
00:04:09,720 --> 00:04:12,600
Speaker 2: Yeah, So most of it is a like a threshold,

102
00:04:12,640 --> 00:04:16,320
Speaker 2: like as long as they fall between this range, you're fine.

103
00:04:16,560 --> 00:04:18,279
Speaker 2: So it's like, do you check the box yes or no?

104
00:04:18,640 --> 00:04:20,400
Speaker 2: But I spent a lot of time. So my very

105
00:04:20,440 --> 00:04:22,440
Speaker 2: first combine a guy named us Grim who's like a

106
00:04:22,520 --> 00:04:25,360
Speaker 2: legendary offensive alignment. He told me that there was nothing

107
00:04:25,400 --> 00:04:27,960
Speaker 2: I could ever do that would be of use to him.

108
00:04:28,120 --> 00:04:32,280
Speaker 1: And so I challenge Cynthia, but I like, it's a hog.

109
00:04:32,360 --> 00:04:35,200
Speaker 2: Now you know that, I mean, I know I get it,

110
00:04:35,240 --> 00:04:38,279
Speaker 2: but like, he's a good person, will will leave his

111
00:04:38,360 --> 00:04:41,520
Speaker 2: hogeness out of this his personhood. He didn't get to

112
00:04:41,600 --> 00:04:44,279
Speaker 2: choose that, right, they chose him. But he told me

113
00:04:44,320 --> 00:04:45,600
Speaker 2: there was nothing I could ever do, And I'm like, well,

114
00:04:45,600 --> 00:04:46,760
Speaker 2: what would you like to know? He's like, I want

115
00:04:46,800 --> 00:04:48,599
Speaker 2: to know who's going to be a wastepender, which means

116
00:04:48,680 --> 00:04:51,279
Speaker 2: unfavorable leverage, who can hold their leverage the longest. So

117
00:04:51,360 --> 00:04:54,800
Speaker 2: I spent my entire master's thesis. This is so boring

118
00:04:54,839 --> 00:04:57,400
Speaker 2: and nerdy, but I saw my entire master's thesis and

119
00:04:57,400 --> 00:05:00,760
Speaker 2: paid a lot of money to measure giant men's bums.

120
00:05:01,640 --> 00:05:04,000
Speaker 1: You're kidding me, and how much they bend the waist.

121
00:05:04,080 --> 00:05:08,479
Speaker 2: Knees, ankles, the flextion in your lower spine, Like I

122
00:05:08,560 --> 00:05:12,400
Speaker 2: worked with like a doctor to understand like how to

123
00:05:12,480 --> 00:05:15,480
Speaker 2: stand lower than something like you know, the kinesiologists will

124
00:05:15,480 --> 00:05:17,320
Speaker 2: tell you how that sports signs people will tell you

125
00:05:17,360 --> 00:05:19,760
Speaker 2: like you have to have this like flextion your spine,

126
00:05:20,720 --> 00:05:22,400
Speaker 2: I have to twerk basically if you have a lot

127
00:05:22,440 --> 00:05:25,479
Speaker 2: to work, So you know you have this ability to

128
00:05:25,720 --> 00:05:28,960
Speaker 2: take all of that together and actually it maps and

129
00:05:29,000 --> 00:05:32,880
Speaker 2: correlates very strongly to if an olignment keeps their butt

130
00:05:33,000 --> 00:05:36,880
Speaker 2: down for the first ten split of their forty Wow,

131
00:05:36,920 --> 00:05:38,880
Speaker 2: all of that, do you know how much money I

132
00:05:38,960 --> 00:05:40,560
Speaker 2: spent to be able to give you that one sentence?

133
00:05:42,560 --> 00:05:43,680
Speaker 2: Still paying for that?

134
00:05:44,120 --> 00:05:46,760
Speaker 1: But but it has it has proven useful. Yeah, and

135
00:05:46,839 --> 00:05:49,479
Speaker 1: res likes it, so go and so then for the so,

136
00:05:49,480 --> 00:05:51,000
Speaker 1: so let's look at the offensive line and then what

137
00:05:51,040 --> 00:05:52,599
Speaker 1: are you keeping an eye on this weekend? When it

138
00:05:52,600 --> 00:05:54,680
Speaker 1: comes to the big fellows? You know, most people tune

139
00:05:54,680 --> 00:05:56,520
Speaker 1: out after the fast guys and the wide receivers, but

140
00:05:56,800 --> 00:05:59,520
Speaker 1: some day those are the big boys that Giants always

141
00:05:59,520 --> 00:06:02,279
Speaker 1: looking for. Fensive line absolutely, what do you look for?

142
00:06:02,440 --> 00:06:03,480
Speaker 2: This is a strong.

143
00:06:03,240 --> 00:06:05,680
Speaker 1: Things like balance and you'll yeah. For example, Evan Neil,

144
00:06:05,680 --> 00:06:07,279
Speaker 1: who the Giants draft a couple years, he says some

145
00:06:07,279 --> 00:06:09,560
Speaker 1: issues with balance with the Giants, for example, what are

146
00:06:09,560 --> 00:06:11,200
Speaker 1: the things you look for to try to predict that

147
00:06:11,200 --> 00:06:11,800
Speaker 1: sort of stuff?

148
00:06:12,320 --> 00:06:14,839
Speaker 2: On all of the drills? Where does your so I

149
00:06:14,880 --> 00:06:16,640
Speaker 2: can map it? It kind of looks like, you know the

150
00:06:16,720 --> 00:06:19,800
Speaker 2: yellow line that you have for the first down marker. Well,

151
00:06:19,839 --> 00:06:22,239
Speaker 2: I could do like circles and things around the video.

152
00:06:22,480 --> 00:06:24,000
Speaker 2: So when you do that, it's like, where's your center

153
00:06:24,040 --> 00:06:25,880
Speaker 2: of gravity? If you can keep your center of gravity?

154
00:06:25,920 --> 00:06:28,200
Speaker 2: Three condra like all of the different sort of like

155
00:06:28,400 --> 00:06:32,159
Speaker 2: lateral movements, the tent, the first ten split of the

156
00:06:32,160 --> 00:06:34,080
Speaker 2: forty of course, but it's like can you keep your

157
00:06:34,200 --> 00:06:36,640
Speaker 2: can you keep your balance. That's very helpful. It's also

158
00:06:36,960 --> 00:06:39,640
Speaker 2: footwork relative to that. How many times you pick it's

159
00:06:39,680 --> 00:06:42,120
Speaker 2: so nerdy, pick up your feet as you're going side

160
00:06:42,120 --> 00:06:45,240
Speaker 2: to side. It's actually you you only really see it

161
00:06:45,279 --> 00:06:48,240
Speaker 2: with your eyes if it's really slow. But the really

162
00:06:48,279 --> 00:06:50,839
Speaker 2: fast ones, like it's crazy when you when you watch

163
00:06:50,880 --> 00:06:53,480
Speaker 2: it with the computer vision, is that good? It's better

164
00:06:53,560 --> 00:06:56,200
Speaker 2: with fast. You want a faster feet, but you want

165
00:06:56,200 --> 00:06:58,320
Speaker 2: to be able. But they when they when they're fast,

166
00:06:58,480 --> 00:07:00,920
Speaker 2: you have to keep them wide because it keeps.

167
00:07:00,760 --> 00:07:03,320
Speaker 1: Your center of grounding more balances. Otherwise you can timmy

168
00:07:03,600 --> 00:07:03,920
Speaker 1: yeah right.

169
00:07:03,920 --> 00:07:05,240
Speaker 2: They don't want to be like that, like yeah that

170
00:07:05,320 --> 00:07:06,480
Speaker 2: you punch and it comes back, you.

171
00:07:06,440 --> 00:07:12,720
Speaker 1: Know, except they don't fall down. The players do fall down,

172
00:07:12,720 --> 00:07:14,080
Speaker 1: which is a problem exactly.

173
00:07:14,320 --> 00:07:16,560
Speaker 2: So it's like, can you keep your wide stance with

174
00:07:16,600 --> 00:07:17,760
Speaker 2: your feet really really fast?

175
00:07:18,840 --> 00:07:22,120
Speaker 3: You love turf, you're good at it, So you start

176
00:07:22,120 --> 00:07:26,200
Speaker 3: a turf fiz. Business grows, your savings grow, become the

177
00:07:26,200 --> 00:07:30,280
Speaker 3: most celebrated name in turf. Are you ready for all

178
00:07:30,320 --> 00:07:31,040
Speaker 3: that life brings?

179
00:07:33,040 --> 00:07:33,360
Speaker 1: All right?

180
00:07:33,400 --> 00:07:35,840
Speaker 4: I want to ask you about separation, which Brian Gable

181
00:07:35,880 --> 00:07:38,280
Speaker 4: talks about all the time of it and says, I've

182
00:07:38,320 --> 00:07:41,360
Speaker 4: got to get separation out of my wide receivers. Where

183
00:07:41,400 --> 00:07:44,320
Speaker 4: do you measure that separation? Is it right off the line?

184
00:07:44,480 --> 00:07:46,920
Speaker 4: Is it ten yards downfield? Or is it on the

185
00:07:46,960 --> 00:07:49,239
Speaker 4: deep vertical shots where you can see it the most?

186
00:07:49,960 --> 00:07:52,520
Speaker 2: I actually think the most predictive way to look at

187
00:07:53,040 --> 00:07:55,040
Speaker 2: like if you were to take a snapshot and be like,

188
00:07:55,080 --> 00:07:57,600
Speaker 2: which is most likely to be completed? You got to

189
00:07:57,600 --> 00:08:00,760
Speaker 2: look at it when it leaves the quarterback's hands, like

190
00:08:00,880 --> 00:08:02,440
Speaker 2: a lot of that though, also has to do with

191
00:08:02,480 --> 00:08:05,040
Speaker 2: like the more precise route. Runners will end up where

192
00:08:05,040 --> 00:08:08,920
Speaker 2: they're supposed to be more often, obviously, but the quarterback

193
00:08:08,960 --> 00:08:11,400
Speaker 2: can only put enough juice on the ball for what

194
00:08:11,480 --> 00:08:13,600
Speaker 2: he sees and if he sees you running into space

195
00:08:13,720 --> 00:08:17,680
Speaker 2: or if he sees you covered it just logically speaking, right,

196
00:08:17,720 --> 00:08:20,760
Speaker 2: So that's the most predictive. Of course, deeper routes you're

197
00:08:20,760 --> 00:08:23,560
Speaker 2: going to have more separation, but it's more about how

198
00:08:23,640 --> 00:08:27,040
Speaker 2: much time goes by, because it's like time and separation, right, Like,

199
00:08:27,600 --> 00:08:30,200
Speaker 2: sometimes you get more, sometimes you get less, and you've

200
00:08:30,200 --> 00:08:32,240
Speaker 2: got to figure out how to optimize for where you

201
00:08:32,240 --> 00:08:32,720
Speaker 2: can catch it.

202
00:08:32,800 --> 00:08:35,520
Speaker 1: Final I'm sorry, no, no, no, no, no, you're good. Final question,

203
00:08:36,520 --> 00:08:39,840
Speaker 1: are you able to start getting metrics on how quickly

204
00:08:39,880 --> 00:08:41,960
Speaker 1: you guys can come out of their routes at the

205
00:08:42,000 --> 00:08:44,400
Speaker 1: top of their route, whether it's in out, in cut, yep,

206
00:08:44,480 --> 00:08:47,160
Speaker 1: just slam. Are you guys able to get measurements and

207
00:08:47,200 --> 00:08:48,720
Speaker 1: how quickly those guys can change directions?

208
00:08:48,720 --> 00:08:50,360
Speaker 2: And not only can you do that, we can measure

209
00:08:50,400 --> 00:08:53,600
Speaker 2: the angle that their hips are facing at the time

210
00:08:54,080 --> 00:08:54,760
Speaker 2: anytime in the.

211
00:08:54,720 --> 00:08:57,800
Speaker 1: Route too, and that kind of desterms how this atentive

212
00:08:57,840 --> 00:08:58,200
Speaker 1: you could.

213
00:08:58,040 --> 00:09:00,720
Speaker 2: Be if I'm running and I need a bad shoulder throw,

214
00:09:01,200 --> 00:09:03,440
Speaker 2: that's gonna be a different that's gonna be have a

215
00:09:03,480 --> 00:09:07,000
Speaker 2: different speed, it's gonna have a different ability to turn.

216
00:09:07,400 --> 00:09:09,520
Speaker 2: I can't turn right and that in the scenario people

217
00:09:09,520 --> 00:09:11,480
Speaker 2: can't see it or whatever, like you know, can you

218
00:09:11,480 --> 00:09:11,800
Speaker 2: turn right?

219
00:09:11,880 --> 00:09:12,560
Speaker 1: Can you turn less?

220
00:09:12,559 --> 00:09:15,960
Speaker 2: It's gonna it's gonna change that dynamic and it's going

221
00:09:15,960 --> 00:09:18,480
Speaker 2: to figure out like that's also your your center of growdy.

222
00:09:18,600 --> 00:09:19,920
Speaker 2: That helps predicts for a yact.

223
00:09:19,960 --> 00:09:23,160
Speaker 1: So you can measure hip looseness. Oh wow, yeah, how

224
00:09:23,160 --> 00:09:23,480
Speaker 1: about that?

225
00:09:24,600 --> 00:09:26,360
Speaker 2: You could? I know, it's so much fun. You could

226
00:09:26,360 --> 00:09:30,560
Speaker 2: even do it for defensive players too, And that's safety

227
00:09:30,600 --> 00:09:33,480
Speaker 2: is too. It's like, can you maintain your speed with

228
00:09:33,480 --> 00:09:35,760
Speaker 2: your hips in every direction. You should be a safety.

229
00:09:36,000 --> 00:09:38,520
Speaker 2: Like maybe they don't get paid as much, but like

230
00:09:38,559 --> 00:09:41,240
Speaker 2: I'm telling you, like it's crazy, like maybe currently don't

231
00:09:41,240 --> 00:09:43,360
Speaker 2: give pay as much, but it's super valuable given the

232
00:09:43,360 --> 00:09:46,160
Speaker 2: way that now like offenses are starting to play, like

233
00:09:46,200 --> 00:09:48,439
Speaker 2: the way we'll see more safeties get paid for.

234
00:09:48,559 --> 00:09:50,320
Speaker 1: Is there a metric for how much sleep you need?

235
00:09:50,360 --> 00:09:55,440
Speaker 2: This zero now it's it's definitely a. It's definitely a

236
00:09:55,520 --> 00:09:57,480
Speaker 2: not like there's a lot Like I said, go home

237
00:09:57,480 --> 00:09:59,920
Speaker 2: and code and then like passively good, We're good. Yeah,

238
00:10:00,120 --> 00:10:01,480
Speaker 2: I love it. It's my favorite.

239
00:10:01,520 --> 00:10:03,240
Speaker 1: We have to do a deep dive later on talk

240
00:10:03,280 --> 00:10:06,200
Speaker 1: more about this, Nithia, this is awesome. Appreciate this Giants

241
00:10:06,240 --> 00:10:07,640
Speaker 1: in a podcast. Thanks for joining us. We see you

242
00:10:07,640 --> 00:10:08,200
Speaker 1: next time. Everybody,