1
00:00:00,240 --> 00:00:00,960
Speaker 1: I'll get our team.

2
00:00:01,000 --> 00:00:04,200
Speaker 2: It's it's doctor Cam, It's Doctor Tiff, and it's Fatty Harps,

3
00:00:04,200 --> 00:00:07,480
Speaker 2: It's Jumbo, It's Craig Anthony Harper from fucking La Trovlli,

4
00:00:07,560 --> 00:00:10,440
Speaker 2: originally from the thriving metropolis of Ballarat.

5
00:00:10,800 --> 00:00:12,239
Speaker 1: Did you know that, Tiff? Did you know? I was

6
00:00:12,240 --> 00:00:13,240
Speaker 1: born in Ballarat?

7
00:00:13,440 --> 00:00:14,600
Speaker 3: I actually did not.

8
00:00:15,520 --> 00:00:16,560
Speaker 1: Nineteen sixty three.

9
00:00:18,200 --> 00:00:22,000
Speaker 2: I was one of many spent a whopping two years there,

10
00:00:22,160 --> 00:00:26,440
Speaker 2: so the memories are limited, but shout out to all

11
00:00:26,480 --> 00:00:31,600
Speaker 2: my homies in Ballarat. I've spent one, yeah, one thirtieth

12
00:00:31,600 --> 00:00:32,480
Speaker 2: of my life there.

13
00:00:32,560 --> 00:00:35,680
Speaker 1: So and I went up there the other day and

14
00:00:35,680 --> 00:00:37,000
Speaker 1: did a little bit of a gig.

15
00:00:36,880 --> 00:00:41,960
Speaker 2: At the RACV gold Fields and a truck threw up

16
00:00:42,000 --> 00:00:44,279
Speaker 2: a rock on the window of my new vehicle and

17
00:00:44,320 --> 00:00:47,479
Speaker 2: fucked up my screen. But anyway, it did not it

18
00:00:47,560 --> 00:00:50,720
Speaker 2: did not feel like home, but it felt nice.

19
00:00:52,000 --> 00:00:55,080
Speaker 1: It's a nice part of the world, I reckon. I

20
00:00:55,280 --> 00:00:56,040
Speaker 1: like the country.

21
00:00:56,120 --> 00:00:59,040
Speaker 3: I like country places, getting out of the hustle and bustle.

22
00:01:00,040 --> 00:01:00,720
Speaker 1: Well I grew up.

23
00:01:00,800 --> 00:01:04,720
Speaker 2: I grew up around cows and shit, so literally shit

24
00:01:05,000 --> 00:01:09,560
Speaker 2: and paddocks and forests and Australian paper.

25
00:01:09,280 --> 00:01:10,160
Speaker 1: Mill and all of those.

26
00:01:10,200 --> 00:01:13,559
Speaker 2: Did you grow up in the rural confines or more

27
00:01:13,600 --> 00:01:16,720
Speaker 2: in the urban environment, Doctor cam.

28
00:01:17,760 --> 00:01:21,120
Speaker 3: I was not too far from Baleratte. Considering all things,

29
00:01:21,200 --> 00:01:26,240
Speaker 3: I was in gunder Guy. Okay, so yeah, the only thing,

30
00:01:26,280 --> 00:01:29,480
Speaker 3: the only memory I have of Balarat is Sovereign Hill,

31
00:01:29,920 --> 00:01:33,880
Speaker 3: which is where you go gold mining and amazing stuff.

32
00:01:33,920 --> 00:01:38,000
Speaker 3: But a gunder guy has a thriving population. I was

33
00:01:38,000 --> 00:01:43,800
Speaker 3: gonna say metabolism of twenty four hundred people, and that

34
00:01:43,880 --> 00:01:47,920
Speaker 3: number has not changed in my forty years of life.

35
00:01:48,600 --> 00:01:50,480
Speaker 2: I wonder if that's the actual number or they just

36
00:01:50,520 --> 00:01:52,919
Speaker 2: haven't updated it because Jan's been busy.

37
00:01:53,520 --> 00:01:56,560
Speaker 3: That's true. Actually I'm working on zero data, but I

38
00:01:56,640 --> 00:02:01,440
Speaker 3: just feel like it hasn't grown at all. A guy,

39
00:02:02,960 --> 00:02:05,640
Speaker 3: I've never thought to question the data. That's so interesting.

40
00:02:05,720 --> 00:02:07,800
Speaker 3: It's just a bit if it hasn't changed.

41
00:02:08,160 --> 00:02:09,720
Speaker 2: I'll tell you what was a good story, the one

42
00:02:09,760 --> 00:02:12,040
Speaker 2: that you told us off air about what you're doing

43
00:02:12,120 --> 00:02:12,560
Speaker 2: last night.

44
00:02:12,639 --> 00:02:14,600
Speaker 1: But we'll keep that off air. You're very welcome.

45
00:02:15,960 --> 00:02:18,800
Speaker 2: He was working, he was studying, he was researching everyone,

46
00:02:18,880 --> 00:02:19,800
Speaker 2: that's what he was doing.

47
00:02:20,280 --> 00:02:28,480
Speaker 1: He's like, that's all good, that's all good. What goes

48
00:02:28,520 --> 00:02:31,600
Speaker 1: on in Vegas stays in Vegas. Pre show is known

49
00:02:31,600 --> 00:02:34,799
Speaker 1: as Vegas. How have you been? What's new?

50
00:02:34,880 --> 00:02:38,160
Speaker 2: Tell me about firstly, maybe we should do this. We

51
00:02:38,200 --> 00:02:41,240
Speaker 2: haven't done it for a while, but we're constantly getting

52
00:02:41,280 --> 00:02:45,040
Speaker 2: a turnover of listeners and new listeners coming in. So

53
00:02:45,160 --> 00:02:47,399
Speaker 2: for the people who have never met you, give them

54
00:02:47,400 --> 00:02:51,440
Speaker 2: a quick however long you want snapshot of your work,

55
00:02:52,200 --> 00:02:55,440
Speaker 2: your organization and what you do. Because I want to

56
00:02:55,480 --> 00:02:57,760
Speaker 2: dive in a little bit into a few things today

57
00:02:58,080 --> 00:02:59,360
Speaker 2: relevant to that.

58
00:02:59,560 --> 00:03:02,280
Speaker 1: So he SETI no pressure, go very good.

59
00:03:02,400 --> 00:03:05,240
Speaker 3: Grew up in gunder Guy and my dad was a dentist.

60
00:03:05,840 --> 00:03:07,639
Speaker 1: What's a population in gunder Guy.

61
00:03:07,520 --> 00:03:10,280
Speaker 3: About twenty four hundred give or takes checking give will

62
00:03:10,320 --> 00:03:16,400
Speaker 3: take zero coli. So me and the other twenty three

63
00:03:16,480 --> 00:03:19,720
Speaker 3: hundred nine people we spent a good. Mum was known

64
00:03:19,720 --> 00:03:22,120
Speaker 3: as the pink Witch at home because she was She

65
00:03:22,240 --> 00:03:24,600
Speaker 3: owned the healing center in Gundergo. We had all of

66
00:03:24,680 --> 00:03:28,000
Speaker 3: the healers from various places come through and she would

67
00:03:28,000 --> 00:03:32,000
Speaker 3: facilitate clients for them. And then dad was the local dentist,

68
00:03:32,040 --> 00:03:34,839
Speaker 3: had a really really great dental practice, does a whole

69
00:03:34,880 --> 00:03:40,280
Speaker 3: lot with byte structure and saw some amazing anyway, it

70
00:03:40,320 --> 00:03:42,520
Speaker 3: did some really cool stuff, sort of a bit left

71
00:03:42,520 --> 00:03:47,480
Speaker 3: of field dentistry and anyway, long story short, ended up

72
00:03:47,520 --> 00:03:51,240
Speaker 3: doing X FIZZ and dietetics, exos physiology and dietetics. Wanted

73
00:03:51,280 --> 00:03:53,520
Speaker 3: to save the world and fixed diabetes. By the end

74
00:03:53,560 --> 00:03:56,200
Speaker 3: of exos physiology, thought I could do that with dietetics

75
00:03:56,200 --> 00:04:01,120
Speaker 3: as well nutrition. Went into a PhD looking at both

76
00:04:01,760 --> 00:04:06,200
Speaker 3: and how we could reduce breast cancer like poor breast

77
00:04:06,240 --> 00:04:08,560
Speaker 3: cancer outcomes with a Mega three excite. That was interesting

78
00:04:08,800 --> 00:04:12,080
Speaker 3: and what I found from that this is where things

79
00:04:12,120 --> 00:04:14,120
Speaker 3: really change. Because I was working in private practice at

80
00:04:14,160 --> 00:04:17,240
Speaker 3: the same time, and I was I'd have people coming

81
00:04:17,279 --> 00:04:19,640
Speaker 3: in and I'd saying, I'm going to reverse your diabetes.

82
00:04:19,680 --> 00:04:21,120
Speaker 3: That's what I was telling all of the gps that

83
00:04:21,160 --> 00:04:22,880
Speaker 3: I was working, I'm going to reverse their diabetes. And

84
00:04:23,200 --> 00:04:26,480
Speaker 3: some people, genuinely, I would see dramatic shifts in their

85
00:04:26,480 --> 00:04:29,200
Speaker 3: blood sugar levels, and other people I would see no change.

86
00:04:29,240 --> 00:04:31,440
Speaker 3: And I would be thinking, well, you're lying to me,

87
00:04:31,680 --> 00:04:34,839
Speaker 3: You're not doing it properly, you're not telling me the

88
00:04:34,880 --> 00:04:38,080
Speaker 3: truth about your diet history and your exercise. There's got

89
00:04:38,120 --> 00:04:40,560
Speaker 3: to be a problem with you. And after a couple

90
00:04:40,600 --> 00:04:42,720
Speaker 3: of years of the most dedicated client I ever had,

91
00:04:42,760 --> 00:04:45,320
Speaker 3: where I threw everything that I could at her and

92
00:04:45,360 --> 00:04:48,800
Speaker 3: no change, like she lost negative one centimeter on her

93
00:04:48,800 --> 00:04:52,080
Speaker 3: waist after two years. I was thinking what is wrong

94
00:04:52,680 --> 00:04:55,440
Speaker 3: with me rather than what's wrong with you and your adherents.

95
00:04:55,600 --> 00:04:58,040
Speaker 3: So I started looking at personalization. At the same time,

96
00:04:58,080 --> 00:05:00,800
Speaker 3: I was doing my PhD, and I was looking at

97
00:05:01,360 --> 00:05:04,320
Speaker 3: different bodies and how they respond to X and OMEGA three.

98
00:05:04,880 --> 00:05:07,200
Speaker 3: And as it turns out, there was a cluster of

99
00:05:07,240 --> 00:05:09,080
Speaker 3: two or three people in my trial that just got

100
00:05:09,120 --> 00:05:11,919
Speaker 3: the best results ever. And they were like Tiff, so

101
00:05:11,960 --> 00:05:16,280
Speaker 3: they were sure athletic, amazing, just general superstars, and they

102
00:05:16,360 --> 00:05:19,680
Speaker 3: just saw this most incredible change. And then the majority

103
00:05:19,720 --> 00:05:23,480
Speaker 3: of my study population was not designed for the intervention

104
00:05:23,560 --> 00:05:25,040
Speaker 3: that I was running. I was asking them to do

105
00:05:25,080 --> 00:05:28,520
Speaker 3: five meals per day and different types of exercise training

106
00:05:28,560 --> 00:05:31,080
Speaker 3: that didn't really suit them, and AMEGA three wasn't as

107
00:05:31,080 --> 00:05:33,719
Speaker 3: big a deal for them as far as their need

108
00:05:33,800 --> 00:05:39,880
Speaker 3: their micronutrientl or macro micro macro nutrient needs. So I

109
00:05:39,960 --> 00:05:44,480
Speaker 3: started questioning, I can't just be giving everyone the same advice,

110
00:05:44,720 --> 00:05:47,200
Speaker 3: and so I started looking into personalization. I started looking

111
00:05:47,200 --> 00:05:51,080
Speaker 3: at genetics. I found you know, they were about six

112
00:05:51,160 --> 00:05:54,520
Speaker 3: years into their data collection at this point, an organization

113
00:05:54,640 --> 00:05:59,360
Speaker 3: called Shay Group, but they had zero health professionals practicing

114
00:05:59,360 --> 00:06:01,560
Speaker 3: with it outside of the pilot group over in Europe.

115
00:06:01,800 --> 00:06:05,880
Speaker 3: But they collected ten thousand individuals and followed them for

116
00:06:05,960 --> 00:06:11,560
Speaker 3: five years with this really hyper specific data collection of

117
00:06:11,800 --> 00:06:14,320
Speaker 3: we're going to measure every nook and cranny of this person,

118
00:06:14,839 --> 00:06:16,440
Speaker 3: and then we're going to see what happens to them

119
00:06:16,440 --> 00:06:18,040
Speaker 3: over five years, and we're going to start doing something

120
00:06:18,040 --> 00:06:21,360
Speaker 3: with that data. Where now at three million human years

121
00:06:21,360 --> 00:06:24,240
Speaker 3: of data with this very very bespoke data set, as

122
00:06:24,240 --> 00:06:26,680
Speaker 3: it's grown into hundreds of thousands of individuals, and the

123
00:06:26,720 --> 00:06:29,680
Speaker 3: whole idea is, we want to eliminate chronic disease and

124
00:06:29,680 --> 00:06:31,800
Speaker 3: pain by the year twenty fifty. And the only way

125
00:06:31,839 --> 00:06:36,200
Speaker 3: that you can do that is by having every person understood.

126
00:06:36,320 --> 00:06:39,680
Speaker 3: You can't give running to everybody because fifteen percent of

127
00:06:39,720 --> 00:06:43,160
Speaker 3: people get less fit when they run, and no one

128
00:06:43,200 --> 00:06:46,280
Speaker 3: talks about these statistics. Twenty percent of people will lose

129
00:06:46,360 --> 00:06:50,119
Speaker 3: muscle when they do resistance training in a randomized control trial,

130
00:06:50,400 --> 00:06:53,599
Speaker 3: you see these non responders. You'd send people out for walks.

131
00:06:53,839 --> 00:06:55,960
Speaker 3: Thirty eight percent of people don't get any benefit from

132
00:06:56,000 --> 00:07:00,400
Speaker 3: the walking, but sixty two do, so you can't just

133
00:07:00,440 --> 00:07:03,880
Speaker 3: give everybody the same intervention. Mediterranean diet doesn't work for everyone,

134
00:07:04,000 --> 00:07:08,839
Speaker 3: Paleo diets doesn't work for everybody. And your environment affects

135
00:07:08,839 --> 00:07:11,880
Speaker 3: your health, Your social life affects your health, The way

136
00:07:11,880 --> 00:07:13,600
Speaker 3: that you put your brain to work affects your health.

137
00:07:13,600 --> 00:07:16,240
Speaker 3: And so they quantified and measured all of these different

138
00:07:16,240 --> 00:07:21,200
Speaker 3: things about what actually drives difference for your body and

139
00:07:21,240 --> 00:07:25,680
Speaker 3: what's the ultimate environment that you need. And now we've

140
00:07:25,720 --> 00:07:31,240
Speaker 3: got fifteen to twenty years of research under our belt

141
00:07:31,360 --> 00:07:35,520
Speaker 3: of this incredibly complex data set, we've layered it all

142
00:07:35,560 --> 00:07:38,200
Speaker 3: in with the evidence space so that each thing that

143
00:07:38,240 --> 00:07:40,320
Speaker 3: we're looking at has evidence space sitting behind it, and

144
00:07:40,400 --> 00:07:42,360
Speaker 3: then AI kind of brings it to life. We've been

145
00:07:42,360 --> 00:07:44,800
Speaker 3: doing AI since twenty eleven, and the whole idea is

146
00:07:45,200 --> 00:07:47,240
Speaker 3: we want the right information to hit the right person

147
00:07:47,280 --> 00:07:50,200
Speaker 3: at the right time. And I've in my practice, I've

148
00:07:50,200 --> 00:07:58,600
Speaker 3: seen reversal of diabetes, reversal of cardiovascular disease, MS Parkinson's,

149
00:07:58,680 --> 00:08:02,000
Speaker 3: like some really really things using a combination of all

150
00:08:02,080 --> 00:08:05,120
Speaker 3: the things that we do in the organization. And now

151
00:08:05,120 --> 00:08:08,200
Speaker 3: we're applying that to health professionals training them, and that

152
00:08:08,280 --> 00:08:10,240
Speaker 3: to be part of my job is trained health professionals

153
00:08:11,200 --> 00:08:14,880
Speaker 3: running corporate well being programs where the individuals actually looked

154
00:08:14,880 --> 00:08:19,400
Speaker 3: at and provided support for. Same with schools and understanding

155
00:08:19,400 --> 00:08:23,640
Speaker 3: different types of learners and how that your behavior and

156
00:08:23,680 --> 00:08:25,880
Speaker 3: your learning style is actually driven from your genetics and

157
00:08:25,920 --> 00:08:27,880
Speaker 3: your biology, and that can help you understand things like

158
00:08:27,880 --> 00:08:30,080
Speaker 3: neurodivergence and a whole lot of different things things. So

159
00:08:30,520 --> 00:08:32,439
Speaker 3: we wanted to find the individual, and we want to

160
00:08:32,480 --> 00:08:35,200
Speaker 3: treat the individual and bring them to their happiest place.

161
00:08:35,360 --> 00:08:38,439
Speaker 3: So it's been a two decade effort and I feel

162
00:08:38,440 --> 00:08:40,679
Speaker 3: like I've definitely found my life's purpose in it all.

163
00:08:42,080 --> 00:08:44,440
Speaker 1: So not much. So you haven't been doing much.

164
00:08:44,840 --> 00:08:47,640
Speaker 3: They've been doing a lot. I just appear on podcasts

165
00:08:47,679 --> 00:08:48,920
Speaker 3: and don't do much, you know what I mean.

166
00:08:48,960 --> 00:08:51,679
Speaker 1: I just don't know you want to? You just sworn

167
00:08:51,720 --> 00:08:54,520
Speaker 1: around like the pretty boy spokesperson. That's what you do.

168
00:08:54,600 --> 00:08:56,720
Speaker 3: That they're looking for someone pretty day, to be honest,

169
00:08:57,000 --> 00:08:59,200
Speaker 3: this is all you are, very very pretty.

170
00:09:00,120 --> 00:09:00,840
Speaker 1: That's fascinating.

171
00:09:00,920 --> 00:09:05,560
Speaker 2: It's it's very much at odds with the typical model,

172
00:09:05,640 --> 00:09:10,240
Speaker 2: isn't it The traditional model of you know, five blokes

173
00:09:10,280 --> 00:09:12,720
Speaker 2: go in with high blood pressure and they all kind

174
00:09:12,720 --> 00:09:15,400
Speaker 2: of kind of are about the same height and weight

175
00:09:15,520 --> 00:09:18,559
Speaker 2: and symptoms, and so we give them all the same

176
00:09:18,600 --> 00:09:23,679
Speaker 2: medication at the same dose. And it works for one great,

177
00:09:23,760 --> 00:09:26,400
Speaker 2: it works kind of for another one, it totally doesn't

178
00:09:26,480 --> 00:09:30,240
Speaker 2: work for two, and who knows about the last one.

179
00:09:30,240 --> 00:09:34,480
Speaker 2: But I mean it is I think people don't realize

180
00:09:34,480 --> 00:09:42,559
Speaker 2: how much prescribing medication, prescribing nutrition, prescribing education, sorry exercise,

181
00:09:43,520 --> 00:09:45,120
Speaker 2: even prescribing education.

182
00:09:45,480 --> 00:09:49,280
Speaker 1: But prescribing all of these things is in many ways.

183
00:09:50,559 --> 00:09:54,440
Speaker 2: High level guessing, you know, because it depends on how

184
00:09:54,520 --> 00:09:57,480
Speaker 2: much you know about the individual. But I know if

185
00:09:57,520 --> 00:09:59,480
Speaker 2: I book in with a GP today, and this is

186
00:09:59,520 --> 00:10:02,480
Speaker 2: not a refle election on the ethics or morality of

187
00:10:02,520 --> 00:10:04,920
Speaker 2: any GPS, but more a reflection.

188
00:10:04,520 --> 00:10:06,679
Speaker 1: Of the busyness and the demand and the system.

189
00:10:06,679 --> 00:10:08,880
Speaker 2: But if I book in and I go and see

190
00:10:08,920 --> 00:10:11,200
Speaker 2: a GP who's never met me, he or she will

191
00:10:11,240 --> 00:10:14,480
Speaker 2: ask me a bunch of questions. They'll quickly fill out

192
00:10:14,480 --> 00:10:17,240
Speaker 2: some shit while I'm sitting with them. They probably won't

193
00:10:17,240 --> 00:10:19,720
Speaker 2: look at me much because they're filling out so much stuff.

194
00:10:19,760 --> 00:10:21,880
Speaker 2: And I'll go, I've got high blood pressure. I think

195
00:10:21,920 --> 00:10:25,200
Speaker 2: they'll check my blood pressure, go yep. Then I'll go

196
00:10:25,240 --> 00:10:26,760
Speaker 2: I'm a bit short of breath and I've got all

197
00:10:26,800 --> 00:10:29,000
Speaker 2: this and then they'll prescribe something and I'll be in

198
00:10:29,040 --> 00:10:32,319
Speaker 2: and out in about twelve to fifteen minutes. And then

199
00:10:32,360 --> 00:10:35,800
Speaker 2: that medication could be a ten out of ten for me,

200
00:10:35,880 --> 00:10:37,559
Speaker 2: it could be a two out of ten for me,

201
00:10:37,679 --> 00:10:41,040
Speaker 2: or it could be a five. And so there's this

202
00:10:41,200 --> 00:10:44,480
Speaker 2: the way that our individual physiology interacts with all of

203
00:10:44,520 --> 00:10:48,640
Speaker 2: these different things that we do too or for our body.

204
00:10:49,040 --> 00:10:53,240
Speaker 2: But that's you know, that's not really spoken about a

205
00:10:53,280 --> 00:10:57,320
Speaker 2: lot in mainstream medicine. And even you know, like even

206
00:10:57,360 --> 00:10:59,240
Speaker 2: the idea of I'll shut up.

207
00:10:59,240 --> 00:11:01,520
Speaker 3: Go on, I don't know, I agree.

208
00:11:01,679 --> 00:11:04,040
Speaker 2: I was even going to say with things like group training,

209
00:11:04,120 --> 00:11:06,880
Speaker 2: like I love group training, but when you've got thirty

210
00:11:06,920 --> 00:11:09,520
Speaker 2: people doing basically the same workout in the same room

211
00:11:09,559 --> 00:11:12,040
Speaker 2: on the same equipment, there's going to be various levels

212
00:11:12,240 --> 00:11:15,680
Speaker 2: or varying levels of benefit, and of course the other variabilities.

213
00:11:15,679 --> 00:11:19,240
Speaker 2: People can manipulate their own intensity within that set structure.

214
00:11:20,080 --> 00:11:22,959
Speaker 1: But again, you know, that's why I.

215
00:11:22,880 --> 00:11:25,480
Speaker 2: Guess part of what you do, even what Tiff does,

216
00:11:25,520 --> 00:11:28,680
Speaker 2: what I do, is trying to teach people to understand

217
00:11:29,559 --> 00:11:35,280
Speaker 2: how they work individually, and you know, like like what

218
00:11:35,360 --> 00:11:37,559
Speaker 2: does your body tell you when you sleep this way,

219
00:11:37,640 --> 00:11:39,360
Speaker 2: or when you move that way, or when you eat

220
00:11:39,400 --> 00:11:41,920
Speaker 2: that way, or you drink that or you don't drink that,

221
00:11:42,200 --> 00:11:44,760
Speaker 2: or you know what happens when you have booze? What

222
00:11:44,840 --> 00:11:47,240
Speaker 2: happens when you don't have booze? Because our body is

223
00:11:47,240 --> 00:11:50,679
Speaker 2: trying to teach us, I guess, and I've.

224
00:11:50,520 --> 00:11:53,080
Speaker 3: Got some fun little statistics on that. Like, probably the

225
00:11:53,120 --> 00:11:57,080
Speaker 3: most widely prescribed medication for diabetes is met forman, which

226
00:11:57,120 --> 00:12:00,160
Speaker 3: is a great jug for doing. What it does is

227
00:12:00,000 --> 00:12:03,160
Speaker 3: it is effective in sixty percent of people. That's a

228
00:12:03,280 --> 00:12:05,640
Speaker 3: really big percentage of people that don't get a big

229
00:12:05,679 --> 00:12:07,800
Speaker 3: improvement in their blood sugar levels. But it also says

230
00:12:07,800 --> 00:12:09,560
Speaker 3: there's a lot more to it. The same thing. You

231
00:12:09,600 --> 00:12:12,559
Speaker 3: can literally strap people to a bed and inject them

232
00:12:12,559 --> 00:12:16,600
Speaker 3: with blood pressure medication and still one in eight people

233
00:12:16,880 --> 00:12:20,040
Speaker 3: will not change their blood pressure. This is where it's

234
00:12:20,040 --> 00:12:21,560
Speaker 3: not even a matter of do I take the drug

235
00:12:21,640 --> 00:12:25,800
Speaker 3: or not. People's bodies just respond. Why we have blood pressure.

236
00:12:25,800 --> 00:12:28,760
Speaker 3: For example, one person, it could be their nervous system

237
00:12:28,800 --> 00:12:32,199
Speaker 3: that's just on and driving a sympathetic response throughout their body.

238
00:12:32,240 --> 00:12:37,120
Speaker 3: Another person, we know there's individuals with actually skinnier archrees

239
00:12:37,240 --> 00:12:40,240
Speaker 3: and so the pressure in those arteries is higher and

240
00:12:40,280 --> 00:12:43,760
Speaker 3: that naturally creates a blood pressure, whereas somebody else who

241
00:12:43,760 --> 00:12:47,160
Speaker 3: gets forgotten altogether the way that their arteries are, they

242
00:12:47,200 --> 00:12:50,720
Speaker 3: get low blood pressure and they go great, you're fantastic.

243
00:12:50,720 --> 00:12:54,760
Speaker 3: As I know, this is diabolical because this can be

244
00:12:54,800 --> 00:12:56,440
Speaker 3: really bad at the other end as well, And so

245
00:12:56,960 --> 00:13:01,480
Speaker 3: we forget about the range first and then we look

246
00:13:01,480 --> 00:13:04,000
Speaker 3: at There was a really great study looking at at

247
00:13:04,040 --> 00:13:08,160
Speaker 3: systematic review in two twenty nineteen looking at the effectiveness

248
00:13:08,160 --> 00:13:10,240
Speaker 3: of hit training and it's it was thought to be

249
00:13:10,280 --> 00:13:14,240
Speaker 3: the panacea. Yeah, we're going to fix everything with hit training.

250
00:13:15,080 --> 00:13:17,880
Speaker 3: Thirty thirty three percent are likely to get a result,

251
00:13:18,520 --> 00:13:23,160
Speaker 3: thirty four percent are uncertain to get a result, and

252
00:13:23,720 --> 00:13:27,080
Speaker 3: the difference thirty three percent are unlikely to get a

253
00:13:27,120 --> 00:13:29,760
Speaker 3: result with it. So it's literally a third or third

254
00:13:29,840 --> 00:13:32,760
Speaker 3: or third for uh. You look at a cycle class

255
00:13:33,600 --> 00:13:35,520
Speaker 3: and you know who's going to get the benefit. We

256
00:13:35,559 --> 00:13:39,880
Speaker 3: don't know. Everyone feels exhausted and feels like rewarded afterwards.

257
00:13:39,920 --> 00:13:42,040
Speaker 3: But if if you're doing it in the morning, it

258
00:13:42,080 --> 00:13:44,199
Speaker 3: could be that your body doesn't tolerate stress that well

259
00:13:44,200 --> 00:13:46,640
Speaker 3: in the morning and it actually creates a greater stress

260
00:13:46,679 --> 00:13:48,800
Speaker 3: response for the rest of the day, you're completely exhausted

261
00:13:48,800 --> 00:13:52,480
Speaker 3: by lunchtime and you don't recover. I've had c C

262
00:13:52,640 --> 00:13:54,640
Speaker 3: Suite people that I've taken through a bit of a

263
00:13:54,640 --> 00:13:57,920
Speaker 3: program stop training in the morning and get four hours

264
00:13:57,920 --> 00:14:00,000
Speaker 3: of productivity back in their day because they're not exhausted

265
00:14:00,200 --> 00:14:02,280
Speaker 3: from their training. They train in the afternoon and they

266
00:14:02,320 --> 00:14:05,600
Speaker 3: get two to three times the benefit. So that level

267
00:14:05,600 --> 00:14:08,080
Speaker 3: of nuance, the timing, the type of training that still

268
00:14:08,080 --> 00:14:10,319
Speaker 3: applies to foods, and the timing of foods, when you

269
00:14:10,320 --> 00:14:12,160
Speaker 3: should eat your foods, when your biggest meal should be,

270
00:14:12,440 --> 00:14:14,480
Speaker 3: the types of nutrients that you're more likely to need

271
00:14:14,960 --> 00:14:19,000
Speaker 3: right through to you know, we had one individual with

272
00:14:19,040 --> 00:14:26,200
Speaker 3: a very complex case of like nosebleeds, headaches, dizziness, just NonStop,

273
00:14:26,640 --> 00:14:28,920
Speaker 3: and it turned out that the profile actually said you

274
00:14:28,960 --> 00:14:31,040
Speaker 3: should not live it altitude. You need to move down

275
00:14:31,120 --> 00:14:34,080
Speaker 3: to the bottom of the mountain. And she'd been doing

276
00:14:34,160 --> 00:14:37,160
Speaker 3: everything for ten years, seeing every specialist that she gets there,

277
00:14:37,200 --> 00:14:40,280
Speaker 3: and literally she had to remove kale and moved to

278
00:14:40,320 --> 00:14:43,760
Speaker 3: the bottom of the mountain and all of her symptoms

279
00:14:43,760 --> 00:14:44,840
Speaker 3: resolved in two weeks.

280
00:14:45,200 --> 00:14:47,560
Speaker 1: It was just fucking amazing.

281
00:14:47,040 --> 00:14:48,960
Speaker 3: And no one's talking about that stuff. But we all

282
00:14:49,000 --> 00:14:51,320
Speaker 3: know that we go to an environment. Oh yeah, I

283
00:14:51,400 --> 00:14:55,000
Speaker 3: just feel so good in this place. We will test

284
00:14:55,000 --> 00:14:57,880
Speaker 3: things out, Like someone with rheumatoid arthritis lived in a

285
00:14:59,000 --> 00:15:03,640
Speaker 3: humid environment, sent them to a dry, warm environment for

286
00:15:04,040 --> 00:15:06,960
Speaker 3: their holiday, and then gave them some foods that also

287
00:15:07,080 --> 00:15:10,640
Speaker 3: support with the same sort of process to amplify it.

288
00:15:11,040 --> 00:15:14,440
Speaker 3: Symptoms went away, a rumored to arthritis went home. Yeah,

289
00:15:14,480 --> 00:15:16,920
Speaker 3: the symptoms came back. And so this is when we

290
00:15:16,920 --> 00:15:21,360
Speaker 3: look at disease. We forget, We're forgotten completely about who's

291
00:15:21,360 --> 00:15:23,800
Speaker 3: the person with the disease. Because somebody who needs a

292
00:15:23,880 --> 00:15:27,240
Speaker 3: dry environment that treats them, a person who needs a

293
00:15:27,320 --> 00:15:29,400
Speaker 3: human environment that's going to treat them, a person that

294
00:15:29,440 --> 00:15:31,440
Speaker 3: needs three meals per day that's going to treat them.

295
00:15:31,880 --> 00:15:34,240
Speaker 3: But if they're and so this is where you know,

296
00:15:34,320 --> 00:15:37,000
Speaker 3: Hippocrates said this two and a half thousand years ago,

297
00:15:37,040 --> 00:15:39,440
Speaker 3: and lots of people have said it in different ways.

298
00:15:39,520 --> 00:15:42,480
Speaker 3: There is no such thing as disease. There's a person

299
00:15:42,880 --> 00:15:46,560
Speaker 3: with a disease and if you understand the person, and

300
00:15:46,600 --> 00:15:49,760
Speaker 3: this you know, comes into the nearer divergence here as well.

301
00:15:50,240 --> 00:15:53,200
Speaker 3: If you put a child into an environment that makes

302
00:15:53,200 --> 00:15:56,280
Speaker 3: them happy, they don't have neurodivergent symptoms anymore. In some

303
00:15:56,320 --> 00:15:59,120
Speaker 3: instances they behave really well, they focus really well, but

304
00:15:59,200 --> 00:16:01,360
Speaker 3: you put them into an environment that doesn't match them,

305
00:16:01,440 --> 00:16:06,000
Speaker 3: and their symptoms erupt, and so understand the person then

306
00:16:06,040 --> 00:16:08,440
Speaker 3: we can start to understand the disease process. But it's

307
00:16:09,320 --> 00:16:11,200
Speaker 3: it's been I mean, it's been the best journey for

308
00:16:11,240 --> 00:16:13,840
Speaker 3: the last ten years. And I could talk about it

309
00:16:13,840 --> 00:16:15,480
Speaker 3: for hours, but I'll stop there for the moment.

310
00:16:16,240 --> 00:16:19,920
Speaker 2: Truly, truly, your stuff fascinates me. And I just think,

311
00:16:20,240 --> 00:16:23,800
Speaker 2: and you know, and Tiff knows, like I don't. I

312
00:16:23,840 --> 00:16:25,720
Speaker 2: don't say stuff I don't mean, but I just think

313
00:16:25,720 --> 00:16:27,640
Speaker 2: it's the future. I think it's the way. Is this,

314
00:16:27,880 --> 00:16:31,320
Speaker 2: you know, like personalized medicine, personalized exercise programming on a

315
00:16:31,360 --> 00:16:35,080
Speaker 2: high level, personalized nutrition of course, of course, because it

316
00:16:35,240 --> 00:16:39,440
Speaker 2: just like why wouldn't it, like we people instinctually or

317
00:16:40,240 --> 00:16:43,320
Speaker 2: instinctively I should say no that what works for me

318
00:16:43,560 --> 00:16:47,720
Speaker 2: might not work for you. You know, like someone has a

319
00:16:47,720 --> 00:16:49,520
Speaker 2: handful of almonds, it's a healthy snack.

320
00:16:49,560 --> 00:16:50,320
Speaker 1: Someone else has.

321
00:16:50,200 --> 00:16:52,720
Speaker 2: One armand and they die because they have an anaphylactic

322
00:16:52,800 --> 00:16:53,720
Speaker 2: reaction or something.

323
00:16:54,880 --> 00:16:57,400
Speaker 3: But it was good for their heart, you know, Yeah,

324
00:16:57,520 --> 00:16:58,920
Speaker 3: it was going to be good for their heart.

325
00:17:00,800 --> 00:17:03,880
Speaker 2: Here's my little anecdote. So I was in Queensland on

326
00:17:03,920 --> 00:17:08,160
Speaker 2: the weekend Thursday to Saturday night, and I generally only

327
00:17:08,160 --> 00:17:10,439
Speaker 2: eat breakfast and dinner, and I may have a snack

328
00:17:10,520 --> 00:17:14,000
Speaker 2: through the day, but usually like a tub of yogurt

329
00:17:14,080 --> 00:17:19,040
Speaker 2: or forty of the aforementioned almonds without the reaction. But

330
00:17:19,320 --> 00:17:22,040
Speaker 2: you know, either nothing through the day between kind of

331
00:17:22,080 --> 00:17:24,560
Speaker 2: eight and seven or a small snack but definitely not

332
00:17:24,600 --> 00:17:25,000
Speaker 2: a meal.

333
00:17:25,680 --> 00:17:32,879
Speaker 1: But anyway, so Saturday, I was in Surface and Surfers.

334
00:17:32,440 --> 00:17:35,640
Speaker 2: Paradise and I was just I ate an early breakfast

335
00:17:35,680 --> 00:17:38,800
Speaker 2: but not big and it was about three two o'clock

336
00:17:39,840 --> 00:17:42,040
Speaker 2: and I had to present from four to five thirty,

337
00:17:42,080 --> 00:17:43,440
Speaker 2: so I had to talk for an hour and a half.

338
00:17:43,480 --> 00:17:44,760
Speaker 2: Then I had to go to the airport. Then I

339
00:17:44,760 --> 00:17:47,880
Speaker 2: did it, and I thought, well, it's going to be Firstly,

340
00:17:48,280 --> 00:17:49,639
Speaker 2: I don't know what i'll be able to get at

341
00:17:49,640 --> 00:17:52,879
Speaker 2: the airport. I don't know what time that'll be, and

342
00:17:52,920 --> 00:17:55,560
Speaker 2: I was mildly peckish. I thought, you know, i'll go

343
00:17:55,600 --> 00:17:58,119
Speaker 2: and i'll get myself a coffee at seven to eleven,

344
00:17:58,160 --> 00:18:00,520
Speaker 2: which I know is not the high watermark for but

345
00:18:00,560 --> 00:18:02,960
Speaker 2: fuck it, that's what I did, and while I was

346
00:18:02,960 --> 00:18:05,440
Speaker 2: in there, I went, I might grab one of these.

347
00:18:06,840 --> 00:18:11,399
Speaker 2: In hindsight, bad decision. Chicken wraps. I'm like, it's just

348
00:18:11,440 --> 00:18:15,080
Speaker 2: a chicken wrap, like chicken and salad. Can't be bad.

349
00:18:16,160 --> 00:18:18,840
Speaker 2: I didn't read the box anyway, got out, had a bite,

350
00:18:18,960 --> 00:18:21,240
Speaker 2: I'm like, oh, I don't know. I don't know anyway,

351
00:18:21,240 --> 00:18:23,640
Speaker 2: So I ate this wrap. It was only like maybe

352
00:18:23,640 --> 00:18:26,840
Speaker 2: four hundred and fifty calories or something, but I don't

353
00:18:26,840 --> 00:18:29,520
Speaker 2: know what the fuck was in that, but it made

354
00:18:29,600 --> 00:18:33,439
Speaker 2: me feel sick until last night, like I just there

355
00:18:33,520 --> 00:18:36,440
Speaker 2: was something where it was margarine, whether it was I

356
00:18:36,480 --> 00:18:37,479
Speaker 2: don't know what it was.

357
00:18:38,200 --> 00:18:40,000
Speaker 1: And it's very unlike me not.

358
00:18:40,040 --> 00:18:42,280
Speaker 2: To be particular, but I just thought, I'm going to

359
00:18:42,320 --> 00:18:43,960
Speaker 2: eat this thing because I'm not going to eat much

360
00:18:43,960 --> 00:18:44,840
Speaker 2: for the rest of the day.

361
00:18:45,200 --> 00:18:46,720
Speaker 1: And so that was Saturday.

362
00:18:46,359 --> 00:18:52,000
Speaker 2: Afternoon and yesterday was Tuesday, and it took me until

363
00:18:52,119 --> 00:18:56,000
Speaker 2: about lunchtime Tuesday before whatever that was was.

364
00:18:56,040 --> 00:18:57,240
Speaker 1: Kind of out of my system.

365
00:18:57,280 --> 00:19:01,080
Speaker 2: That sounds disgusting, but I could fear all like my

366
00:19:01,200 --> 00:19:04,199
Speaker 2: body wasn't the same. It was like my body, my

367
00:19:04,280 --> 00:19:06,480
Speaker 2: body was just saying to me, what the fuck did

368
00:19:06,520 --> 00:19:09,640
Speaker 2: you do? Like, what was that because I don't eat

369
00:19:09,760 --> 00:19:12,880
Speaker 2: things like that generally. But it's amazing when you get

370
00:19:12,920 --> 00:19:16,520
Speaker 2: out of because I know exactly what works for my

371
00:19:16,600 --> 00:19:20,359
Speaker 2: body with everything, with food, with sleep, with supplements, with rest,

372
00:19:20,480 --> 00:19:25,200
Speaker 2: with recovery, with socialization, with time alone, with time with people,

373
00:19:25,320 --> 00:19:29,239
Speaker 2: with stress, with calm, with and then I just chuck this.

374
00:19:29,600 --> 00:19:32,240
Speaker 2: And you wouldn't think one little thing could have such

375
00:19:32,280 --> 00:19:33,160
Speaker 2: an impact, but it.

376
00:19:33,119 --> 00:19:37,879
Speaker 3: Can absolutely And it's just even a lot of people

377
00:19:38,080 --> 00:19:42,040
Speaker 3: walk around in their life with a baseline level of earth.

378
00:19:42,480 --> 00:19:45,200
Speaker 3: Most of the time, they don't realize how good they

379
00:19:45,200 --> 00:19:48,280
Speaker 3: can feel like. That's what's and we aren't taught at

380
00:19:48,320 --> 00:19:53,800
Speaker 3: all to investigate the feelings that we're getting as children. Oh,

381
00:19:53,840 --> 00:19:55,359
Speaker 3: how does it feel when you eat that? How does

382
00:19:55,359 --> 00:19:57,080
Speaker 3: it feel when you give that? How does it feel

383
00:19:57,080 --> 00:19:58,680
Speaker 3: when you connect with your mum that way? You know,

384
00:19:58,880 --> 00:20:01,520
Speaker 3: we never ask those questions. People don't get any kind

385
00:20:01,520 --> 00:20:06,040
Speaker 3: of barometer about that, and then you end up sort

386
00:20:06,040 --> 00:20:09,480
Speaker 3: of masking what life could feel like, or masking the

387
00:20:09,520 --> 00:20:12,320
Speaker 3: amount of pain in your body with caffeine and busyness

388
00:20:12,400 --> 00:20:16,560
Speaker 3: and alcohol and whatever it may be. You know the

389
00:20:16,640 --> 00:20:18,239
Speaker 3: number of people that I know that go home and

390
00:20:18,520 --> 00:20:20,200
Speaker 3: just have a glass of wine to take the edge

391
00:20:20,200 --> 00:20:22,280
Speaker 3: off it as opposed to you know, what is actually

392
00:20:22,320 --> 00:20:25,680
Speaker 3: creating the edge, you know, And even that question, I

393
00:20:25,880 --> 00:20:27,920
Speaker 3: just prefer to wake up a little bit more sluggish

394
00:20:27,960 --> 00:20:30,199
Speaker 3: and I'll just have another coffee and then I'll be fine.

395
00:20:31,600 --> 00:20:39,000
Speaker 3: It's we are supported by our society to live like that, caffeinated,

396
00:20:39,440 --> 00:20:42,560
Speaker 3: masking the real signals that are coming from our system.

397
00:20:43,040 --> 00:20:45,640
Speaker 3: The effort to be more mindful is great. But even still,

398
00:20:45,680 --> 00:20:47,920
Speaker 3: and this is probably what the most exciting stuff about

399
00:20:48,359 --> 00:20:51,800
Speaker 3: the work that we do is when you get a symptom,

400
00:20:52,920 --> 00:20:56,040
Speaker 3: we can now say, well, this is why that symptom

401
00:20:56,080 --> 00:20:58,360
Speaker 3: is there. You know, if Tiff goes, oh, I've got

402
00:20:58,359 --> 00:20:59,760
Speaker 3: a bit of a headache or whatever it might be,

403
00:21:00,320 --> 00:21:02,679
Speaker 3: I could say, well, these are the three things that

404
00:21:02,720 --> 00:21:04,480
Speaker 3: are going to be most relevant for tif based off

405
00:21:04,480 --> 00:21:06,560
Speaker 3: what we know about her body as far as headaches

406
00:21:06,600 --> 00:21:08,600
Speaker 3: are concerned. My headaches for a body like Tip, a

407
00:21:08,640 --> 00:21:12,840
Speaker 3: lot of it's actually muscle tension and stretching appropriately actually

408
00:21:12,840 --> 00:21:15,440
Speaker 3: makes a big difference. But for somebody else those headaches

409
00:21:15,480 --> 00:21:18,040
Speaker 3: is because they've eaten their meat too quickly and it's

410
00:21:18,080 --> 00:21:20,919
Speaker 3: digesting poorly, and that's creating a headache. That's the most

411
00:21:21,000 --> 00:21:27,160
Speaker 3: likely reason for example. So it's not just identifying the symptom,

412
00:21:27,400 --> 00:21:29,439
Speaker 3: but then actually being able to navigate to cause. And

413
00:21:29,480 --> 00:21:32,560
Speaker 3: that's what the data and the AI actually allows us

414
00:21:32,560 --> 00:21:34,199
Speaker 3: to do now, is to say I'm feeling like this.

415
00:21:34,280 --> 00:21:36,960
Speaker 3: We actually had an individual she was using the app.

416
00:21:37,000 --> 00:21:40,239
Speaker 3: She had burning tongue or something like that. I'm not

417
00:21:40,280 --> 00:21:43,000
Speaker 3: too familiar with it, went to the doctor and you

418
00:21:43,040 --> 00:21:46,720
Speaker 3: know rightly, so six minute consultation got some nonstroileni in

419
00:21:46,760 --> 00:21:49,919
Speaker 3: flams happy days. She then went home and asked her

420
00:21:50,480 --> 00:21:53,520
Speaker 3: digital twin essentially and said, like, I've got burning mouth

421
00:21:53,600 --> 00:21:56,680
Speaker 3: into well for your body, it's likely related to your

422
00:21:56,800 --> 00:22:00,600
Speaker 3: mental stress, So do this breathing exercise, avoid these three

423
00:22:00,640 --> 00:22:03,600
Speaker 3: foods or whatever it might be. Three days it was resolved.

424
00:22:03,680 --> 00:22:06,840
Speaker 3: It was really fascinating to see if you understand cause

425
00:22:06,960 --> 00:22:09,440
Speaker 3: and you make the right treatment, then all of these

426
00:22:09,880 --> 00:22:12,840
Speaker 3: alternative things actually become very very powerful when they're precise.

427
00:22:13,000 --> 00:22:17,200
Speaker 3: So yeah, this is definitely the thing that we're trying

428
00:22:17,200 --> 00:22:20,080
Speaker 3: to do is raise everybody's knowledge about well, what do

429
00:22:20,119 --> 00:22:22,800
Speaker 3: I actually need to do and then assess how does

430
00:22:22,800 --> 00:22:24,600
Speaker 3: my body feel when I do that? Because that's going

431
00:22:24,640 --> 00:22:25,600
Speaker 3: to be a more true measure.

432
00:22:27,000 --> 00:22:31,359
Speaker 2: I think like reconnecting with our body. I could be wrong,

433
00:22:31,400 --> 00:22:36,399
Speaker 2: but my guess is that our ancestors were way more

434
00:22:37,880 --> 00:22:41,199
Speaker 2: integrated with their biology than we are, you know, way

435
00:22:41,240 --> 00:22:45,040
Speaker 2: more aware, way more instinctive and intuitive because I guess

436
00:22:45,119 --> 00:22:48,720
Speaker 2: they didn't have the access to the stuff that we have.

437
00:22:48,840 --> 00:22:51,440
Speaker 2: You know, we can push the dopamine button whenever we want,

438
00:22:51,520 --> 00:22:53,280
Speaker 2: so to speak, but they couldn't do that.

439
00:22:53,440 --> 00:22:56,800
Speaker 3: You know, It's interesting because they only live till thirty,

440
00:22:57,040 --> 00:22:58,879
Speaker 3: So you can do a whole lot of bad stuff

441
00:22:58,880 --> 00:23:01,359
Speaker 3: to your body over thirty years to not really feel it.

442
00:23:01,720 --> 00:23:04,520
Speaker 2: Well, that's because they got a tooth fucking infection and

443
00:23:04,600 --> 00:23:07,960
Speaker 2: they died. Yeah, that's because there was no antibiotics.

444
00:23:08,280 --> 00:23:12,399
Speaker 1: Yes, absolutely, up until that though were brand new. I

445
00:23:12,440 --> 00:23:14,359
Speaker 1: wanted to ask you. I want to circle back to

446
00:23:14,400 --> 00:23:14,880
Speaker 1: where you were.

447
00:23:14,920 --> 00:23:17,760
Speaker 2: You were talking about how you know, some people run,

448
00:23:17,800 --> 00:23:20,800
Speaker 2: they don't get fitter. Some people if weights, they don't

449
00:23:20,840 --> 00:23:23,960
Speaker 2: get stronger. Explain to me how twenty percent of people

450
00:23:24,040 --> 00:23:28,159
Speaker 2: can lift weights and not get stronger or not build muscle.

451
00:23:28,440 --> 00:23:35,600
Speaker 3: So, muscle growth requires activation of your muscle protein synthetic pathways.

452
00:23:36,200 --> 00:23:38,800
Speaker 3: So and if everyone's fill without the m tour pathways

453
00:23:38,800 --> 00:23:42,199
Speaker 3: and various things like that that requires a stimulus. It

454
00:23:42,320 --> 00:23:49,520
Speaker 3: also requires appropriate nutrition, it also requires good sleep, and

455
00:23:49,640 --> 00:23:55,360
Speaker 3: it also requires a reduction in stress levels, because if

456
00:23:55,400 --> 00:23:58,840
Speaker 3: you're stressed all day long, you'll just be catabolizing muscle.

457
00:23:59,320 --> 00:24:02,640
Speaker 3: So it's this is one of the issues with randomized

458
00:24:02,640 --> 00:24:05,280
Speaker 3: control trials is I want to test this one thing,

459
00:24:05,760 --> 00:24:07,440
Speaker 3: and yes, I'll try and control for all of these

460
00:24:07,440 --> 00:24:11,480
Speaker 3: other things. But there's there's a real development and evolution

461
00:24:11,520 --> 00:24:13,280
Speaker 3: that's coming to the way that we're going to interpret

462
00:24:13,280 --> 00:24:14,600
Speaker 3: research like that. But I won't get into that too

463
00:24:14,680 --> 00:24:17,960
Speaker 3: much unless we unless we do. But so let's say

464
00:24:18,000 --> 00:24:21,280
Speaker 3: that you've got a person and they're a night owl, okay,

465
00:24:21,320 --> 00:24:24,560
Speaker 3: and so night owls are people that not that they

466
00:24:24,600 --> 00:24:27,239
Speaker 3: have to wake up late. But if you stress them

467
00:24:27,280 --> 00:24:28,800
Speaker 3: in the morning, if you give them some sort of

468
00:24:28,800 --> 00:24:33,480
Speaker 3: stress loud pitch, noises, lots of mental activity, physical intensity.

469
00:24:33,520 --> 00:24:36,000
Speaker 3: If you give them a stress in the morning, their

470
00:24:36,040 --> 00:24:40,600
Speaker 3: body goes WTF and it says, my village must be

471
00:24:40,640 --> 00:24:43,280
Speaker 3: burning down. I need to be on high alert now.

472
00:24:43,600 --> 00:24:48,800
Speaker 3: And what we see if you put an individual through

473
00:24:49,480 --> 00:24:53,040
Speaker 3: high intensity training, their cortisole levels will go up and

474
00:24:53,080 --> 00:24:56,359
Speaker 3: they'll stay up for longer. Now, cortisole is one of

475
00:24:56,400 --> 00:25:00,560
Speaker 3: those chemicals that actually contributes to muscle loss. You go

476
00:25:00,640 --> 00:25:03,200
Speaker 3: and find muscle, you break it down, and you turn

477
00:25:03,200 --> 00:25:05,160
Speaker 3: it into fuel so that you can keep going because

478
00:25:05,160 --> 00:25:06,960
Speaker 3: your body goes I'm in stress. I've just got to

479
00:25:07,040 --> 00:25:08,440
Speaker 3: keep going right now. I'm not going to worry about

480
00:25:08,440 --> 00:25:11,040
Speaker 3: anything else. I'm just going to survive. Whereas, if you

481
00:25:11,080 --> 00:25:12,960
Speaker 3: take an early bird and you get them to do

482
00:25:13,000 --> 00:25:15,680
Speaker 3: that same training first thing in the morning, their cortisole

483
00:25:15,760 --> 00:25:18,000
Speaker 3: levels go up and then they return to normal within

484
00:25:18,080 --> 00:25:21,440
Speaker 3: fifteen minutes. So what you've got is two people doing

485
00:25:21,480 --> 00:25:25,639
Speaker 3: the same training. They've been given the stimulus, but then

486
00:25:26,320 --> 00:25:29,760
Speaker 3: one person's been exposed to so much more stress hormone

487
00:25:29,800 --> 00:25:32,400
Speaker 3: as a result of that training that they don't get

488
00:25:32,400 --> 00:25:35,280
Speaker 3: to a crue muscle for that period of time. They

489
00:25:35,280 --> 00:25:37,760
Speaker 3: don't get the synthetic response, or at least it's been

490
00:25:37,840 --> 00:25:43,359
Speaker 3: negated somewhat by cortisol. So and then it may disrupt sleep.

491
00:25:43,400 --> 00:25:45,840
Speaker 3: It may reduce their sleep quality because their rhythms now

492
00:25:45,920 --> 00:25:48,719
Speaker 3: out and their cortisol's fluxing all over the place. It

493
00:25:48,720 --> 00:25:52,480
Speaker 3: could disregulate some of their appetite as well. It might

494
00:25:52,560 --> 00:25:54,640
Speaker 3: reduce some of their activity later on in the day,

495
00:25:54,760 --> 00:25:57,240
Speaker 3: because they're now a lot more tired and wiped out

496
00:25:57,240 --> 00:25:59,239
Speaker 3: because they did that training. So there's a whole lot

497
00:25:59,280 --> 00:26:02,560
Speaker 3: of different factors that can come into this that then

498
00:26:03,680 --> 00:26:06,720
Speaker 3: mean that you don't get a net growth of muscle

499
00:26:06,760 --> 00:26:09,800
Speaker 3: over time. But obviously it's multi factorial. But then for

500
00:26:09,840 --> 00:26:12,120
Speaker 3: the early bird, you know, it's like geez, I feel

501
00:26:12,160 --> 00:26:15,119
Speaker 3: so great after that, and they eat well, they sleep well,

502
00:26:15,320 --> 00:26:17,680
Speaker 3: you know, the recovery is better. So you know, it's

503
00:26:17,720 --> 00:26:21,600
Speaker 3: not just the training, obviously, it's all of the systemic

504
00:26:21,600 --> 00:26:24,760
Speaker 3: effects that happen after that training and when that training occurred.

505
00:26:25,280 --> 00:26:26,399
Speaker 1: Yeah, it's so interesting.

506
00:26:26,440 --> 00:26:29,320
Speaker 2: I've the amount of the amount of people that I've

507
00:26:29,320 --> 00:26:32,200
Speaker 2: seen over the years that I've worked with that are

508
00:26:32,920 --> 00:26:37,480
Speaker 2: perplexed by why they're not building muscle, And apart from

509
00:26:37,480 --> 00:26:40,919
Speaker 2: all the things you spoke about, I'm like, well, like

510
00:26:41,200 --> 00:26:44,200
Speaker 2: you're probably expending two and a half thousand calories a

511
00:26:44,280 --> 00:26:50,239
Speaker 2: day and consuming twenty four hundred, so just that you know,

512
00:26:50,320 --> 00:26:53,440
Speaker 2: you can't build muscle because there's no petrol in the tank,

513
00:26:53,600 --> 00:26:57,919
Speaker 2: you know, there's and then as you said, you throw cortisol,

514
00:26:57,960 --> 00:27:01,600
Speaker 2: which is catabolic into the mix, you know, and all that,

515
00:27:01,720 --> 00:27:05,000
Speaker 2: then people start to get stressed around what's not working.

516
00:27:05,800 --> 00:27:11,120
Speaker 2: They kind of throw fuel on the non muscle building fire. Yeah,

517
00:27:11,160 --> 00:27:15,280
Speaker 2: that's that's just such an interesting thing because trying to

518
00:27:15,320 --> 00:27:20,960
Speaker 2: get especially young men and teenage boys and women as well,

519
00:27:20,960 --> 00:27:23,320
Speaker 2: But it seems to me to be more blokes and

520
00:27:23,400 --> 00:27:26,879
Speaker 2: boys to understand that you're not building muscle in the gym.

521
00:27:27,359 --> 00:27:30,360
Speaker 2: You're just creating a stimulus that might lead to that

522
00:27:30,920 --> 00:27:34,280
Speaker 2: if the other things are okay, you know, if you

523
00:27:34,320 --> 00:27:37,120
Speaker 2: get the rest, if you get if you get the recovery,

524
00:27:37,119 --> 00:27:39,960
Speaker 2: if you get the nutrition, if you harmonially are in

525
00:27:40,000 --> 00:27:42,479
Speaker 2: a good place. Yeah, just trying to because all you're

526
00:27:42,520 --> 00:27:44,600
Speaker 2: trying to do in the gym is to stimulate your

527
00:27:44,640 --> 00:27:46,480
Speaker 2: body to respond a certain way.

528
00:27:46,400 --> 00:27:48,920
Speaker 1: Which may or may not depending on the other variables.

529
00:27:49,480 --> 00:27:53,840
Speaker 3: That's right. Yeah, and yes, it's just when you start

530
00:27:53,880 --> 00:27:56,160
Speaker 3: thinking about, like, we do too much of our research

531
00:27:56,200 --> 00:27:59,440
Speaker 3: in like one intervention in isolation, and I know that's

532
00:27:59,480 --> 00:28:02,240
Speaker 3: the scientific method of you know, if we do this

533
00:28:02,280 --> 00:28:05,639
Speaker 3: one thing to one thousand people, what happens. And this

534
00:28:05,760 --> 00:28:09,680
Speaker 3: is a bit of a trap actually for it impedes

535
00:28:09,720 --> 00:28:13,680
Speaker 3: our ability to be personalized because when you say, oh,

536
00:28:13,800 --> 00:28:17,760
Speaker 3: there's a study with a thousand people and on average

537
00:28:18,040 --> 00:28:20,040
Speaker 3: and this was actually this is done in the nine nineties.

538
00:28:20,080 --> 00:28:23,360
Speaker 3: This is what's so crazy about this is this incredible

539
00:28:23,359 --> 00:28:28,080
Speaker 3: guy took five hundred individuals from about one hundred and

540
00:28:28,080 --> 00:28:32,359
Speaker 3: thirty different families and he made them do aerobic training,

541
00:28:33,080 --> 00:28:36,000
Speaker 3: so on the bike, forty five minutes being supervised on

542
00:28:36,040 --> 00:28:39,920
Speaker 3: the bike. And what they found is, firstly, your genetics

543
00:28:39,960 --> 00:28:42,600
Speaker 3: determine your baseline VO two, like how fit you are

544
00:28:42,840 --> 00:28:46,040
Speaker 3: is very much based on your VO two on your genetics.

545
00:28:47,480 --> 00:28:50,520
Speaker 3: And secondly is that there were the super responders. In

546
00:28:50,560 --> 00:28:53,040
Speaker 3: every study, there's a super responder, the twenty percent of

547
00:28:53,080 --> 00:28:56,360
Speaker 3: people that just skyrocket their results, and then there's the

548
00:28:56,400 --> 00:28:59,000
Speaker 3: other twenty percent that get a negative result. He showed

549
00:28:59,000 --> 00:29:02,000
Speaker 3: that even people with good training or no training didn't matter.

550
00:29:02,680 --> 00:29:05,840
Speaker 3: There were specific families where they would get no response

551
00:29:06,000 --> 00:29:08,800
Speaker 3: or a negative response from three times a week, forty

552
00:29:08,840 --> 00:29:11,000
Speaker 3: five minutes of cycle training at seventy five percent of

553
00:29:11,040 --> 00:29:14,760
Speaker 3: their max. But it says the study, if you look

554
00:29:14,760 --> 00:29:16,840
Speaker 3: at you know, if you look at this amongst other studies,

555
00:29:16,840 --> 00:29:21,000
Speaker 3: you'd say, on average, everybody improves by this much. And

556
00:29:21,040 --> 00:29:25,040
Speaker 3: it's immediately inaccurate for most people, because some people improved

557
00:29:25,080 --> 00:29:27,360
Speaker 3: twelve hundred. The average was four hundred and some are

558
00:29:27,360 --> 00:29:31,720
Speaker 3: negative five. And that has been repeated that study so

559
00:29:31,880 --> 00:29:34,680
Speaker 3: many times. And then when people try and say, oh,

560
00:29:35,560 --> 00:29:38,560
Speaker 3: non responders to exercise don't actually exist, they're just not

561
00:29:38,680 --> 00:29:41,640
Speaker 3: training hard enough, what they try and do is they

562
00:29:41,720 --> 00:29:45,440
Speaker 3: just bump up the volume so that everyone's doing five

563
00:29:45,520 --> 00:29:48,600
Speaker 3: hours of really intense exercise per week. And what they

564
00:29:48,640 --> 00:29:51,880
Speaker 3: find is that the people that are superresponders don't actually

565
00:29:51,920 --> 00:29:53,760
Speaker 3: respond that much more. They get the same result that

566
00:29:53,800 --> 00:29:56,360
Speaker 3: they got it two and a half hours. And the

567
00:29:56,400 --> 00:29:58,800
Speaker 3: people that didn't respond to two and a half hours

568
00:29:58,840 --> 00:30:02,800
Speaker 3: of this really intense exercise, they get a three percent

569
00:30:02,840 --> 00:30:05,480
Speaker 3: improvement in their fitness and they go, great, see there

570
00:30:05,640 --> 00:30:09,400
Speaker 3: that guy, whereas another person's getting a fifty percent improvement

571
00:30:09,400 --> 00:30:11,320
Speaker 3: in their fitness. So all you've got to say to

572
00:30:11,360 --> 00:30:14,720
Speaker 3: the population now of Australia is, hey, everybody can get

573
00:30:14,720 --> 00:30:16,840
Speaker 3: a result, and you can get a three percent improvement

574
00:30:16,960 --> 00:30:21,560
Speaker 3: if you do five hours at seventy five percent per week.

575
00:30:21,680 --> 00:30:23,720
Speaker 3: You know, we can't even get Australia off the couch

576
00:30:24,000 --> 00:30:26,640
Speaker 3: for the most part, or definitely and there's other countries

577
00:30:26,680 --> 00:30:28,280
Speaker 3: like this too, to say, oh no, you're going to

578
00:30:28,280 --> 00:30:32,160
Speaker 3: get virtually no response after five hours of training. It's

579
00:30:32,200 --> 00:30:34,640
Speaker 3: not about non response, it's about people are different. And

580
00:30:35,400 --> 00:30:38,160
Speaker 3: there was another great study just looking at if you

581
00:30:38,200 --> 00:30:42,960
Speaker 3: give a power athlete power training, they get more powerful

582
00:30:43,120 --> 00:30:46,760
Speaker 3: and they get more aerobically fit. If you give endurance

583
00:30:46,880 --> 00:30:51,880
Speaker 3: genes endurance training, they get more aerobically fit, more endurance,

584
00:30:52,040 --> 00:30:54,720
Speaker 3: and they get more powerful. But if you switch the

585
00:30:54,800 --> 00:30:57,720
Speaker 3: modality and make the think about this. You take a

586
00:30:57,800 --> 00:31:01,080
Speaker 3: high jumper and you make them train the world's strongest man,

587
00:31:01,120 --> 00:31:02,520
Speaker 3: what's going to happen to that high jump? They're going

588
00:31:02,560 --> 00:31:05,760
Speaker 3: to break in half because they're this delicate little string

589
00:31:05,800 --> 00:31:09,880
Speaker 3: bean that's designed for jump really high heights. They aren't

590
00:31:09,880 --> 00:31:11,960
Speaker 3: designed for that kind of strength. But if you train

591
00:31:12,000 --> 00:31:14,760
Speaker 3: them in their strength, in their strength, which is endurance,

592
00:31:15,800 --> 00:31:18,040
Speaker 3: I guess you know high jumpers are quite powerful, but

593
00:31:18,640 --> 00:31:22,760
Speaker 3: let's talk ultra marathon runners or something like that. You see,

594
00:31:22,920 --> 00:31:25,760
Speaker 3: when you align the training with the person, you get

595
00:31:25,840 --> 00:31:29,600
Speaker 3: the response. And that's the same thing with food. Some

596
00:31:29,640 --> 00:31:32,880
Speaker 3: people metabolically need three meals per day and a light dinner.

597
00:31:32,920 --> 00:31:36,760
Speaker 3: You align the fuel intake for that person based off

598
00:31:36,800 --> 00:31:40,240
Speaker 3: their digestive function, and their body starts getting better and

599
00:31:40,280 --> 00:31:45,280
Speaker 3: that might resolve. I've seen sleep, app noir, diabetes, weight problems,

600
00:31:45,320 --> 00:31:48,000
Speaker 3: fluid retention, just by having the right timing of meals.

601
00:31:48,000 --> 00:31:52,000
Speaker 3: But you take another person, they need six meals per day,

602
00:31:52,080 --> 00:31:54,040
Speaker 3: like Tip is a five to six meals per day.

603
00:31:54,360 --> 00:31:57,600
Speaker 3: Give her a snack or she starts hitting screens, you know,

604
00:31:57,720 --> 00:32:02,520
Speaker 3: maybe biting chairs. It might be some people need the

605
00:32:02,600 --> 00:32:05,760
Speaker 3: regular consumption and if you provide that, their mood improves

606
00:32:06,040 --> 00:32:09,560
Speaker 3: and their metabolism improves. But that's same six meal per

607
00:32:09,600 --> 00:32:11,200
Speaker 3: day on the three mil a day person makes them

608
00:32:11,200 --> 00:32:13,920
Speaker 3: more sluggish and hold more weight. So if you give

609
00:32:13,960 --> 00:32:15,920
Speaker 3: the body what it needs, what it's designed to do,

610
00:32:16,040 --> 00:32:18,800
Speaker 3: align the treatment with the person, that's when you see

611
00:32:18,840 --> 00:32:21,120
Speaker 3: the diseases start to improve. And that's that's what we

612
00:32:21,160 --> 00:32:25,880
Speaker 3: don't do. We're working symptom symptoms in rather than person out,

613
00:32:26,000 --> 00:32:29,240
Speaker 3: and that's what needs to change.

614
00:32:29,320 --> 00:32:32,040
Speaker 2: It's so interesting that thing where in research, of course,

615
00:32:32,080 --> 00:32:34,880
Speaker 2: and naturally it has to operate. That why because we

616
00:32:34,920 --> 00:32:37,800
Speaker 2: can't have twenty variables otherwise we don't know what's working

617
00:32:37,840 --> 00:32:42,680
Speaker 2: and not working. But I always say tell people that

618
00:32:42,840 --> 00:32:46,280
Speaker 2: you know, it's like the human systems, it's integrated, like

619
00:32:46,320 --> 00:32:51,280
Speaker 2: it's psychology, it's emotion, it's physiology. It's sociology, it's spirituality

620
00:32:51,360 --> 00:32:55,320
Speaker 2: maybe depending on like, it's this integration of all of

621
00:32:55,360 --> 00:32:59,400
Speaker 2: these things. That's not a standalone single thing. And you know,

622
00:32:59,440 --> 00:33:01,479
Speaker 2: you have a thought and depending on the thought, well,

623
00:33:01,520 --> 00:33:04,160
Speaker 2: there's a physiological consequence to that thought.

624
00:33:04,240 --> 00:33:05,960
Speaker 1: There's you know, you.

625
00:33:07,480 --> 00:33:11,720
Speaker 2: Catch a ball, there's a psychological consequence to catching that ball.

626
00:33:11,800 --> 00:33:14,240
Speaker 2: You lie on the ground with tiflies on the ground

627
00:33:14,240 --> 00:33:17,640
Speaker 2: with our animals, and there's an emotional and a psychological

628
00:33:17,720 --> 00:33:21,360
Speaker 2: benefit to doing that physical thing. Right, all of these

629
00:33:21,360 --> 00:33:25,880
Speaker 2: things are intertwined and interconnected, and trying to understand that,

630
00:33:26,000 --> 00:33:29,560
Speaker 2: you know, for some people think about this like one

631
00:33:29,560 --> 00:33:31,800
Speaker 2: person gives you a hug, and it puts your body

632
00:33:31,840 --> 00:33:34,520
Speaker 2: in a great state. Another person gives you a hug

633
00:33:34,800 --> 00:33:38,480
Speaker 2: puts your body in a stress state. It's the same thing,

634
00:33:38,600 --> 00:33:42,120
Speaker 2: but from a different person. And it's probably not even

635
00:33:42,160 --> 00:33:45,440
Speaker 2: so much about that body touching my body as much

636
00:33:45,520 --> 00:33:48,200
Speaker 2: as it is how I feel about that fucking body

637
00:33:48,280 --> 00:33:52,240
Speaker 2: touching my body. So in other words, I'm actually creating

638
00:33:52,280 --> 00:33:58,240
Speaker 2: this physiological negativity as my interpretation of old mate hugging me,

639
00:33:58,320 --> 00:33:59,560
Speaker 2: who I don't want to hug me?

640
00:34:00,040 --> 00:34:03,840
Speaker 1: Yeah, you know, And and.

641
00:34:03,760 --> 00:34:05,800
Speaker 3: What I'm going to say to that is, this is

642
00:34:05,840 --> 00:34:07,640
Speaker 3: where the future of it's going, well, not the future,

643
00:34:07,680 --> 00:34:09,960
Speaker 3: this is where it's at right now. It's just and

644
00:34:10,520 --> 00:34:14,960
Speaker 3: truly with the augmented reality goggles that are coming out everywhere,

645
00:34:15,120 --> 00:34:17,359
Speaker 3: like the glasses that you can wear, it is going

646
00:34:17,400 --> 00:34:19,399
Speaker 3: to completely change the game. And this has been part

647
00:34:19,400 --> 00:34:21,840
Speaker 3: of our roadmap for the last ten years long as

648
00:34:21,840 --> 00:34:24,879
Speaker 3: I've known the organization. Actually we're at the point now

649
00:34:24,960 --> 00:34:28,719
Speaker 3: where it is exactly about all of those things, and

650
00:34:28,880 --> 00:34:31,880
Speaker 3: AI allows us to actually understand all of those things

651
00:34:31,880 --> 00:34:34,680
Speaker 3: in real time about the person. So research is going

652
00:34:34,719 --> 00:34:37,600
Speaker 3: to move from a randomized control trial meta analyses model,

653
00:34:37,840 --> 00:34:40,400
Speaker 3: which is the meta analyses is the average of the averages,

654
00:34:40,719 --> 00:34:44,640
Speaker 3: which is even less specific for the individual. It is like,

655
00:34:44,680 --> 00:34:47,120
Speaker 3: oh no, on average, this works some of the time,

656
00:34:47,440 --> 00:34:49,719
Speaker 3: but not it doesn't anyway, won't get it that The

657
00:34:49,760 --> 00:34:54,080
Speaker 3: future is personalized algorithms, which is, this person has woken

658
00:34:54,160 --> 00:34:57,520
Speaker 3: up at this time, They've had this particular amount of work,

659
00:34:57,520 --> 00:34:59,960
Speaker 3: this type of work in the morning, and that's created

660
00:35:00,120 --> 00:35:02,560
Speaker 3: this heart rate variability for them. And then they had

661
00:35:02,560 --> 00:35:04,880
Speaker 3: a cup of tea, and that cup of tea seemed

662
00:35:04,880 --> 00:35:06,799
Speaker 3: to normalize the heart rate variability. Then they had to

663
00:35:06,800 --> 00:35:09,640
Speaker 3: hang out with John, and John seemed to normalize their

664
00:35:09,680 --> 00:35:11,839
Speaker 3: heart rate variability and help them into a recovery phase.

665
00:35:11,880 --> 00:35:14,239
Speaker 3: Then they had a call from their partner and their

666
00:35:14,239 --> 00:35:17,239
Speaker 3: heart rate variability went wild, and their skin conductance went

667
00:35:17,280 --> 00:35:20,480
Speaker 3: all over the place, and then their fatigue levels, their

668
00:35:20,480 --> 00:35:22,840
Speaker 3: productivity went down, and then they had a bit of

669
00:35:22,840 --> 00:35:24,600
Speaker 3: food here or whatever. It might be, so much so

670
00:35:24,719 --> 00:35:28,680
Speaker 3: that the way health will be really in the next

671
00:35:29,080 --> 00:35:32,200
Speaker 3: five years, definitely the next ten years. It's all about

672
00:35:32,600 --> 00:35:37,040
Speaker 3: standardization of augmented reality goggles. You'll be walking down the

673
00:35:37,040 --> 00:35:41,480
Speaker 3: street it'll say, oh, harps mate, I know that you're

674
00:35:41,480 --> 00:35:43,520
Speaker 3: trying to do your best to recover. You've been in

675
00:35:43,560 --> 00:35:46,279
Speaker 3: a slightly sympathetic state, or your heart rate's been up

676
00:35:46,320 --> 00:35:49,680
Speaker 3: a little bit for the last hour. You've got three

677
00:35:49,760 --> 00:35:52,640
Speaker 3: meetings for the rest of the day coming up. I've

678
00:35:52,800 --> 00:35:55,680
Speaker 3: ordered a green tea on the way to that. It's

679
00:35:55,680 --> 00:35:57,239
Speaker 3: going to be ready for you to pick up for

680
00:35:57,320 --> 00:36:00,200
Speaker 3: you to consume. But also listen to this music as well,

681
00:36:00,400 --> 00:36:02,640
Speaker 3: because we need you to return back to this baseline

682
00:36:02,640 --> 00:36:05,200
Speaker 3: to catch some rest so that you can go back

683
00:36:05,200 --> 00:36:08,920
Speaker 3: into that anabolic state. And oh, you know what, we

684
00:36:09,000 --> 00:36:10,560
Speaker 3: listened to that song at that time it didn't work,

685
00:36:10,760 --> 00:36:13,080
Speaker 3: try this song instead, and then it auto populates the

686
00:36:13,120 --> 00:36:15,680
Speaker 3: next song that then does get you into the right state,

687
00:36:15,760 --> 00:36:19,080
Speaker 3: whatever it might be. Like, this is where we'll well,

688
00:36:19,360 --> 00:36:22,680
Speaker 3: we'll start to really see it in real life. What

689
00:36:22,760 --> 00:36:25,319
Speaker 3: are the various cues of what brings us into our

690
00:36:25,360 --> 00:36:29,080
Speaker 3: best health, down to the vegetable, down to the way

691
00:36:29,080 --> 00:36:30,799
Speaker 3: that we move our body. It's going to be a

692
00:36:30,800 --> 00:36:33,880
Speaker 3: completely different world when it comes to health. The health

693
00:36:34,560 --> 00:36:37,600
Speaker 3: without Thinking is the tagline, but the idea of it

694
00:36:37,640 --> 00:36:41,200
Speaker 3: is that once you've been exposed to these things, once

695
00:36:41,239 --> 00:36:42,920
Speaker 3: you go, oh, the green tea did really help? Then

696
00:36:43,280 --> 00:36:45,000
Speaker 3: how was I feeling at that time? I was feeling

697
00:36:45,000 --> 00:36:47,000
Speaker 3: a little bit off? That's weird, Okay, have that granted.

698
00:36:47,360 --> 00:36:50,239
Speaker 3: What happens over multiple exposures to that is you start

699
00:36:50,280 --> 00:36:53,920
Speaker 3: actually getting real cues for oh yeah, actually no, I

700
00:36:54,000 --> 00:36:55,879
Speaker 3: beat my alarm to it. I knew it was going

701
00:36:55,920 --> 00:36:57,440
Speaker 3: to tell me my heart rate was a bit off

702
00:36:57,440 --> 00:36:59,320
Speaker 3: because I felt it before it came up, because the

703
00:36:59,400 --> 00:37:01,120
Speaker 3: last three time I felt like this, and then I

704
00:37:01,200 --> 00:37:02,880
Speaker 3: got the alarm on my watch or the alarm on

705
00:37:02,920 --> 00:37:05,520
Speaker 3: my goggles, whatever it might be. So it actually allows

706
00:37:05,600 --> 00:37:09,640
Speaker 3: us to use AI to re educate our very specific cues,

707
00:37:09,880 --> 00:37:11,839
Speaker 3: but then it goes so much further, I think, than

708
00:37:12,840 --> 00:37:16,279
Speaker 3: what we could do in the past, because we have

709
00:37:16,400 --> 00:37:19,680
Speaker 3: this incredible understanding of the differences between individuals, of how

710
00:37:19,800 --> 00:37:21,680
Speaker 3: people can find their purpose and do all of these

711
00:37:21,680 --> 00:37:24,680
Speaker 3: incredible cognitive exercises in improving the health and well being.

712
00:37:24,719 --> 00:37:28,080
Speaker 3: So it'll include all of that. So it is a

713
00:37:28,320 --> 00:37:32,840
Speaker 3: truly exciting time to be alive. There's no doubt about it.

714
00:37:32,840 --> 00:37:33,200
Speaker 1: It is.

715
00:37:33,600 --> 00:37:35,480
Speaker 2: It is Sometimes I listen to you and I just

716
00:37:35,520 --> 00:37:38,799
Speaker 2: get engrossed and I don't even have a question. I'm like, yeah,

717
00:37:38,840 --> 00:37:41,759
Speaker 2: go on, keep talking. But the other day I did

718
00:37:41,760 --> 00:37:45,120
Speaker 2: a podcast TIF did you do that one with me?

719
00:37:45,160 --> 00:37:47,680
Speaker 2: Where we're talking about the impact of work, like our

720
00:37:47,719 --> 00:37:48,600
Speaker 2: relationship with.

721
00:37:48,640 --> 00:37:49,680
Speaker 1: Work or is that just me?

722
00:37:50,200 --> 00:37:50,359
Speaker 3: Yeah?

723
00:37:50,440 --> 00:37:54,880
Speaker 2: Yeah, we're talking about even down cam to like I

724
00:37:55,040 --> 00:37:59,239
Speaker 2: talk to people about among many other things, but we

725
00:37:59,280 --> 00:38:01,120
Speaker 2: talk about the the impact.

726
00:38:00,719 --> 00:38:02,720
Speaker 1: Of work on their health.

727
00:38:03,080 --> 00:38:07,800
Speaker 2: So where they work, culture environment, what they wear to work,

728
00:38:07,960 --> 00:38:12,000
Speaker 2: travel time, the physical office or the physical space that

729
00:38:12,040 --> 00:38:15,000
Speaker 2: they work in, and how that affects everything from their

730
00:38:15,000 --> 00:38:18,759
Speaker 2: heart rate to their recovery, to their cognition to their

731
00:38:18,800 --> 00:38:22,640
Speaker 2: nervous system. To know how they feel in that space

732
00:38:22,880 --> 00:38:26,560
Speaker 2: and one of the best things I ever did was

733
00:38:27,320 --> 00:38:31,600
Speaker 2: I built this office that I love where I'm just

734
00:38:31,640 --> 00:38:34,400
Speaker 2: looking at all these trees and my office is nice

735
00:38:34,440 --> 00:38:38,200
Speaker 2: and comfy, and when I come in to hear I

736
00:38:38,280 --> 00:38:42,960
Speaker 2: feel more creative and more focused and more calm than

737
00:38:43,000 --> 00:38:45,960
Speaker 2: any other room in the house, in fact, any other

738
00:38:46,440 --> 00:38:48,480
Speaker 2: I don't think you could put me in a workspace

739
00:38:48,520 --> 00:38:49,840
Speaker 2: where I would feel better.

740
00:38:49,640 --> 00:38:51,280
Speaker 1: Than the space that I'm in right now.

741
00:38:51,520 --> 00:38:55,080
Speaker 2: Yes, And it's like I consciously did that because the

742
00:38:55,160 --> 00:38:57,719
Speaker 2: room that I'm in I didn't have it the way

743
00:38:57,719 --> 00:39:00,279
Speaker 2: it's set up, and it was okay, and then I

744
00:39:00,360 --> 00:39:06,239
Speaker 2: ended up just creating, creating something that for me works perfectly.

745
00:39:06,880 --> 00:39:11,520
Speaker 2: And Yeah, when you think about, for example, among many

746
00:39:11,560 --> 00:39:15,400
Speaker 2: other things, how long you spend at like for us,

747
00:39:15,440 --> 00:39:17,759
Speaker 2: like Tiff, for you or me, how long I spend

748
00:39:17,800 --> 00:39:20,799
Speaker 2: at a computer or at this desk or on you know,

749
00:39:20,920 --> 00:39:24,640
Speaker 2: in zoom calls, or on podcasts or reading fucking papers

750
00:39:24,719 --> 00:39:28,440
Speaker 2: or writing papers or answering emails, It's like, well, if

751
00:39:28,480 --> 00:39:31,200
Speaker 2: you're going to spend a lot of time in that space,

752
00:39:31,280 --> 00:39:34,359
Speaker 2: in that position, you might want to make it a

753
00:39:34,480 --> 00:39:37,360
Speaker 2: really nice space to be in because that's good for

754
00:39:37,440 --> 00:39:40,279
Speaker 2: your body and your emotions. And your cognitive function, but

755
00:39:40,440 --> 00:39:45,440
Speaker 2: also you know, just for your happiness level. And I

756
00:39:45,920 --> 00:39:48,440
Speaker 2: don't think most of the people that I talk to

757
00:39:48,560 --> 00:39:51,520
Speaker 2: they don't think about their work environment in terms of

758
00:39:51,520 --> 00:39:54,319
Speaker 2: the relationship that it has or the impact that it

759
00:39:54,360 --> 00:39:57,000
Speaker 2: has on their health.

760
00:39:57,280 --> 00:39:59,640
Speaker 3: And I mean I've had I've got some really beautiful

761
00:39:59,640 --> 00:40:03,800
Speaker 3: cases it, and the data is profound. There was a

762
00:40:03,840 --> 00:40:06,839
Speaker 3: one example around weight change. For example, they looked at

763
00:40:06,840 --> 00:40:08,840
Speaker 3: a population. This is a study done in two thousand

764
00:40:08,880 --> 00:40:11,439
Speaker 3: and six. They looked at if you're in high job

765
00:40:11,520 --> 00:40:15,680
Speaker 3: stress with low control over your job, so you don't

766
00:40:15,680 --> 00:40:17,600
Speaker 3: feel like you're in charge and you're stressed in it.

767
00:40:18,080 --> 00:40:20,319
Speaker 3: If you were if you had a BMI that was

768
00:40:20,360 --> 00:40:24,280
Speaker 3: twenty seven or above, you would gain weight in that environment.

769
00:40:24,640 --> 00:40:27,240
Speaker 3: If you had a BMI that was twenty two or below,

770
00:40:27,440 --> 00:40:29,840
Speaker 3: you would lose weight in that environment. And this is

771
00:40:29,880 --> 00:40:34,399
Speaker 3: because a bigger body naturally has a more anabolic free

772
00:40:34,400 --> 00:40:37,320
Speaker 3: disposition to stress. So that is, I'm going to grow

773
00:40:37,360 --> 00:40:40,080
Speaker 3: in stress, I'm going to get bigger in stress, whereas

774
00:40:40,320 --> 00:40:43,520
Speaker 3: skinnier bodies they have a catabolic response to stress, and

775
00:40:43,560 --> 00:40:46,200
Speaker 3: that is I'm going to waste away. And so this

776
00:40:46,280 --> 00:40:50,279
Speaker 3: is where so where people started and this is just

777
00:40:50,320 --> 00:40:52,480
Speaker 3: from work. This isn't the food that they're eating, this

778
00:40:52,520 --> 00:40:54,000
Speaker 3: is the environment that I'm in at work. And then

779
00:40:54,040 --> 00:40:57,640
Speaker 3: we had a really fascinating experience. We run a bunch

780
00:40:57,640 --> 00:41:00,319
Speaker 3: of worldness programs and one that really sticks out in

781
00:41:00,320 --> 00:41:02,680
Speaker 3: my mind. She was actually the BMI of twenty two

782
00:41:02,760 --> 00:41:06,240
Speaker 3: or below and her we do a depression anxiety stress

783
00:41:06,239 --> 00:41:08,880
Speaker 3: scale that's twenty one. It's a well validated tool for

784
00:41:08,920 --> 00:41:10,280
Speaker 3: general population and mental.

785
00:41:10,040 --> 00:41:14,280
Speaker 1: Health and in my research, oh good stuff.

786
00:41:14,640 --> 00:41:18,360
Speaker 3: So the the what we saw is I saw the

787
00:41:18,440 --> 00:41:23,359
Speaker 3: highest DASH scores ever I saw on this individual at

788
00:41:23,360 --> 00:41:26,080
Speaker 3: the start of the program, so she was pretty much

789
00:41:26,239 --> 00:41:30,319
Speaker 3: topping out both scales. The change that we made to her,

790
00:41:30,520 --> 00:41:32,400
Speaker 3: we knew that her body, based on the way that

791
00:41:32,440 --> 00:41:36,520
Speaker 3: she was built, she was highly responsive to lots of noise,

792
00:41:36,680 --> 00:41:39,440
Speaker 3: lots of light, lots of people because her nervous system,

793
00:41:39,880 --> 00:41:45,880
Speaker 3: her ascending reticular activating system, is much more awake, and

794
00:41:45,960 --> 00:41:48,920
Speaker 3: whenever she gets any kind of neural input, any kind

795
00:41:48,920 --> 00:41:51,759
Speaker 3: of sensory input, it goes to her amigdala, which is

796
00:41:51,760 --> 00:41:54,840
Speaker 3: her sort of stress response center, and then for her

797
00:41:55,239 --> 00:41:58,080
Speaker 3: it goes up to her brain, whereas other people it

798
00:41:58,160 --> 00:42:00,520
Speaker 3: goes down into their system, and they get and they

799
00:42:00,520 --> 00:42:03,520
Speaker 3: want to punch stuff for her, she processes all of

800
00:42:03,520 --> 00:42:07,120
Speaker 3: her stress cognitively, and so she was in an open

801
00:42:07,160 --> 00:42:10,360
Speaker 3: plan office with air conditioning, bright lights, lots of people

802
00:42:10,360 --> 00:42:12,880
Speaker 3: talking all of the time, in a really active culture.

803
00:42:14,239 --> 00:42:18,040
Speaker 3: We moved her just based on the basic recommendations in

804
00:42:18,080 --> 00:42:21,399
Speaker 3: her environment. We moved her to a quiet room where

805
00:42:21,400 --> 00:42:23,920
Speaker 3: she could control the lighting and the temperature and didn't

806
00:42:23,920 --> 00:42:27,920
Speaker 3: have anyone around her. In three weeks, her dash scores

807
00:42:27,960 --> 00:42:32,080
Speaker 3: went to zero. It was truly, my nervous system is

808
00:42:32,200 --> 00:42:35,640
Speaker 3: completely overwhelmed. I cannot get out of my head and

809
00:42:35,719 --> 00:42:36,160
Speaker 3: what is.

810
00:42:36,120 --> 00:42:36,680
Speaker 1: Wrong with me?

811
00:42:36,800 --> 00:42:38,239
Speaker 3: That was her story.

812
00:42:38,800 --> 00:42:39,160
Speaker 1: Two.

813
00:42:39,760 --> 00:42:43,840
Speaker 3: I am so calm, I am so clear in my mind,

814
00:42:44,040 --> 00:42:46,839
Speaker 3: I feel so good, and I'm getting so much done.

815
00:42:46,880 --> 00:42:49,120
Speaker 3: It had nothing to do with her food, nothing to

816
00:42:49,160 --> 00:42:51,560
Speaker 3: do with her exercise. It was literally where she was

817
00:42:51,600 --> 00:42:55,080
Speaker 3: sitting in the office. And this is no one talks

818
00:42:55,080 --> 00:42:57,680
Speaker 3: about it. Everyone gets annoy lafe. Whenever I do a talk,

819
00:42:57,680 --> 00:43:01,160
Speaker 3: I'll say, who hates air conditioning? Every time there's a

820
00:43:01,160 --> 00:43:02,719
Speaker 3: third of the room that put their hand up saying

821
00:43:02,800 --> 00:43:04,440
Speaker 3: I hate it, And how does it feel when you

822
00:43:04,920 --> 00:43:09,280
Speaker 3: have air conditioning? It's like, ah, just agitated. It was like, great,

823
00:43:09,760 --> 00:43:12,759
Speaker 3: who's had an interaction with John where he's been agitated?

824
00:43:12,960 --> 00:43:15,000
Speaker 3: Your hands go up, you go great, did you ever

825
00:43:15,040 --> 00:43:16,919
Speaker 3: think that it was the air conditioning? All you guys

826
00:43:16,960 --> 00:43:19,560
Speaker 3: are thinking John's a terrible bloke. It just turns out

827
00:43:19,560 --> 00:43:22,000
Speaker 3: the firmo stat was to play and these things we

828
00:43:22,120 --> 00:43:24,279
Speaker 3: just we don't put together. We're not thinking of them

829
00:43:24,320 --> 00:43:26,880
Speaker 3: as contributing to our health. But if you submit yourself

830
00:43:26,880 --> 00:43:30,000
Speaker 3: to that experience, you go, I hate this job, I'm out,

831
00:43:30,200 --> 00:43:33,279
Speaker 3: when in fact I hate this room is actually what

832
00:43:33,320 --> 00:43:36,360
Speaker 3: you mean. The work is fine, the team is fine,

833
00:43:36,719 --> 00:43:39,279
Speaker 3: but we have to create a narrative out of what

834
00:43:39,320 --> 00:43:42,960
Speaker 3: we feel. And often that narrative is the thing in

835
00:43:43,000 --> 00:43:45,280
Speaker 3: front of me. Work is the problem, when in fact

836
00:43:45,600 --> 00:43:48,880
Speaker 3: it wasn't at all. So it's the idea of place

837
00:43:49,000 --> 00:43:50,680
Speaker 3: is so fascinating.

838
00:43:51,120 --> 00:43:57,360
Speaker 2: That is so interesting, dude, That is so interesting now

839
00:43:57,400 --> 00:44:00,560
Speaker 2: other than you know, thy six and we're going to

840
00:44:00,560 --> 00:44:03,680
Speaker 2: steer people there anyway. But people that are listening to

841
00:44:03,680 --> 00:44:06,560
Speaker 2: this thinking there are so many variables, There are so

842
00:44:06,600 --> 00:44:10,680
Speaker 2: many factors that are going to impact how I look, feel, function,

843
00:44:10,800 --> 00:44:11,879
Speaker 2: experience life, do.

844
00:44:12,000 --> 00:44:15,520
Speaker 1: Life, sleep, etc. Is there a way that.

845
00:44:15,440 --> 00:44:18,480
Speaker 2: They can you know, just is it me going all right,

846
00:44:18,920 --> 00:44:21,640
Speaker 2: is it me just paying more attention? Is it me

847
00:44:21,840 --> 00:44:26,160
Speaker 2: being present? We're going to steer people towards the assessment that,

848
00:44:26,239 --> 00:44:28,759
Speaker 2: but just in general terms, for people listening to this,

849
00:44:29,560 --> 00:44:34,600
Speaker 2: maybe we just don't pay attention to what's going on

850
00:44:34,719 --> 00:44:37,440
Speaker 2: around me and how that correlates to what's going on

851
00:44:37,520 --> 00:44:40,279
Speaker 2: within me. It's just not an awareness that we have.

852
00:44:40,400 --> 00:44:43,400
Speaker 2: I feel like, sorry, I'll shut up after this. I

853
00:44:43,480 --> 00:44:46,719
Speaker 2: talk about this a lot. How I feel like a

854
00:44:46,760 --> 00:44:49,480
Speaker 2: lot of us live unconsciously. And that's not an insult.

855
00:44:49,520 --> 00:44:52,759
Speaker 2: It's just how I see things in that we kind

856
00:44:52,760 --> 00:44:54,800
Speaker 2: of get out of bed and we get back into

857
00:44:54,840 --> 00:44:57,560
Speaker 2: the canoe on our river, and it's our life has

858
00:44:57,600 --> 00:45:01,680
Speaker 2: already got momentum and fly, and we kind of just

859
00:45:01,760 --> 00:45:05,239
Speaker 2: step back into that momentum and we do what we

860
00:45:05,280 --> 00:45:07,680
Speaker 2: did yesterday the way that we did it yesterday, the

861
00:45:07,760 --> 00:45:08,520
Speaker 2: day before.

862
00:45:08,280 --> 00:45:10,560
Speaker 1: The month before, the year before, even though it wasn't

863
00:45:10,600 --> 00:45:11,480
Speaker 1: really optimal.

864
00:45:12,080 --> 00:45:14,080
Speaker 2: And sometimes we've almost got to get out of that

865
00:45:14,200 --> 00:45:16,120
Speaker 2: river to be able to see what's going on. We've

866
00:45:16,160 --> 00:45:18,160
Speaker 2: got to get to the side of the metaphoric bank

867
00:45:18,800 --> 00:45:20,239
Speaker 2: or the side of the river, to get on the

868
00:45:20,280 --> 00:45:23,040
Speaker 2: bank so we can be more aware of what we're

869
00:45:23,040 --> 00:45:26,400
Speaker 2: doing and how we're doing it, because it's very difficult

870
00:45:26,400 --> 00:45:29,359
Speaker 2: to be objective and aware about the thing that you're

871
00:45:29,480 --> 00:45:32,239
Speaker 2: in the middle of, you know, so being able to

872
00:45:32,280 --> 00:45:34,759
Speaker 2: try and step back and go what is going on

873
00:45:34,880 --> 00:45:37,680
Speaker 2: and when I'm in that environment, or when I sleep

874
00:45:37,719 --> 00:45:40,759
Speaker 2: with the air on or the air off, or two

875
00:45:40,800 --> 00:45:44,400
Speaker 2: blankets or one blanket or all that kind of stuff.

876
00:45:45,160 --> 00:45:47,200
Speaker 3: Yeah, So the first thing that I would get people

877
00:45:47,239 --> 00:45:52,680
Speaker 3: to do is to think about the place and people

878
00:45:52,880 --> 00:45:56,400
Speaker 3: an environment that makes them most happy. Right, And the

879
00:45:56,440 --> 00:46:00,680
Speaker 3: really important thing is for me, when I'm doing work

880
00:46:01,040 --> 00:46:04,080
Speaker 3: and I'm doing it productively and with a great schedule

881
00:46:04,120 --> 00:46:09,040
Speaker 3: and a great priority, my whole outlook on life just

882
00:46:09,080 --> 00:46:11,759
Speaker 3: improves dramatically. I feel more love for my kids, I

883
00:46:11,800 --> 00:46:14,520
Speaker 3: feel more love for my friends. I feel like the

884
00:46:14,640 --> 00:46:17,400
Speaker 3: day is actually worth living, Whereas if I don't do

885
00:46:17,480 --> 00:46:20,320
Speaker 3: that work, or if I'm miss or disorganized, that actually

886
00:46:20,320 --> 00:46:23,880
Speaker 3: creates strength to me, but for somebody else's. I just

887
00:46:24,080 --> 00:46:27,600
Speaker 3: love having my family over and cooking them a meal,

888
00:46:28,440 --> 00:46:31,839
Speaker 3: and I love the idea of us connecting together. There

889
00:46:31,920 --> 00:46:34,680
Speaker 3: is nothing more grounding and peaceful for me than that,

890
00:46:35,000 --> 00:46:38,040
Speaker 3: you know, another person is I just love getting into

891
00:46:38,160 --> 00:46:42,280
Speaker 3: nature and immersing in nature and going for a walk

892
00:46:42,400 --> 00:46:45,480
Speaker 3: and just listening to the birds and being connected to nature.

893
00:46:45,680 --> 00:46:50,240
Speaker 3: Another person says, I just love being in my hit class,

894
00:46:50,280 --> 00:46:52,480
Speaker 3: trying to beat all of those other people in the

895
00:46:52,520 --> 00:46:56,560
Speaker 3: class and just winning. I hate not winning, and I

896
00:46:56,600 --> 00:46:59,080
Speaker 3: feel so good when I can compete and win and

897
00:46:59,120 --> 00:47:02,160
Speaker 3: I'm in some sort of challenge or excitement or doing

898
00:47:02,200 --> 00:47:05,520
Speaker 3: a different thing, experiencing a different place, doing a different adventure.

899
00:47:05,719 --> 00:47:08,440
Speaker 3: Another person's like, I just love being around my best friends.

900
00:47:08,440 --> 00:47:11,120
Speaker 3: It doesn't matter what we're doing, it's social so and

901
00:47:11,160 --> 00:47:13,560
Speaker 3: the reason why I share those and it can be

902
00:47:13,600 --> 00:47:15,520
Speaker 3: I just like time by myself in a nice quiet

903
00:47:15,560 --> 00:47:17,640
Speaker 3: room where I could just be completely with my own thoughts.

904
00:47:17,760 --> 00:47:20,320
Speaker 3: And the reason why I share that is because everyone's

905
00:47:20,360 --> 00:47:23,400
Speaker 3: searching for what should I start with first? Is it exercise?

906
00:47:23,520 --> 00:47:25,960
Speaker 3: Is it food? Is at sleep? Is it whatever? But

907
00:47:26,000 --> 00:47:28,040
Speaker 3: what we know from the work that we've done, we

908
00:47:28,120 --> 00:47:32,280
Speaker 3: know that there is a different People have a biological

909
00:47:32,400 --> 00:47:36,120
Speaker 3: mandate for their top priority. And for me, the way

910
00:47:36,160 --> 00:47:40,840
Speaker 3: that my brain rewards itself, it's productive work makes everything

911
00:47:40,960 --> 00:47:42,799
Speaker 3: cycles around that, and if I get that right, it

912
00:47:42,880 --> 00:47:46,120
Speaker 3: works for somebody else it is is my family safe.

913
00:47:46,760 --> 00:47:48,799
Speaker 3: The third is Is it just my group of friends

914
00:47:48,840 --> 00:47:50,719
Speaker 3: and spending time and having fun? Is it or a

915
00:47:50,760 --> 00:47:53,759
Speaker 3: sense of freedom if somebody else is a challenge. And

916
00:47:53,760 --> 00:47:56,919
Speaker 3: this is where if you think of it that way,

917
00:47:57,040 --> 00:47:58,960
Speaker 3: rather than oh, I need to get things right, that

918
00:47:59,000 --> 00:48:01,319
Speaker 3: you can start with what are the environments that just

919
00:48:01,400 --> 00:48:04,440
Speaker 3: make me feel fantastic? And my suggestion is to just

920
00:48:04,600 --> 00:48:08,239
Speaker 3: incorporate more of those things into your life rather than

921
00:48:08,239 --> 00:48:10,400
Speaker 3: trying to look for every little nook and cranny and

922
00:48:10,400 --> 00:48:12,960
Speaker 3: every little variation of exercise, whatever it might be, Just

923
00:48:13,000 --> 00:48:15,200
Speaker 3: go what is going to make me feel amazing? What

924
00:48:15,280 --> 00:48:19,000
Speaker 3: kind of weights do I really like to lift? Kind

925
00:48:19,000 --> 00:48:22,520
Speaker 3: of cardio do I absolutely love doing? And when you know,

926
00:48:22,520 --> 00:48:24,239
Speaker 3: if I had the choice on the weekend, when would

927
00:48:24,280 --> 00:48:26,080
Speaker 3: I do it? What would make me feel like I'm

928
00:48:26,120 --> 00:48:28,000
Speaker 3: not rushed in the morning and I could wake up

929
00:48:28,040 --> 00:48:30,400
Speaker 3: and just do it in my own time and really

930
00:48:30,520 --> 00:48:34,040
Speaker 3: enjoy it. Who would I be with? So I would

931
00:48:34,120 --> 00:48:36,839
Speaker 3: make a do a bit of an audit of when

932
00:48:36,880 --> 00:48:39,520
Speaker 3: do I feel at my best? And is it the people?

933
00:48:39,719 --> 00:48:42,239
Speaker 3: Is that the place? Is it the activity? Is it

934
00:48:42,280 --> 00:48:44,239
Speaker 3: the food or is it not the food? Is it

935
00:48:44,280 --> 00:48:47,359
Speaker 3: just the people? Is it the solitude? Is it the

936
00:48:47,400 --> 00:48:53,200
Speaker 3: work orientation? And actually have. And normally, you know, culturally

937
00:48:53,280 --> 00:48:56,960
Speaker 3: we're rewarded for working really hard, but then culturally we're

938
00:48:57,160 --> 00:49:00,799
Speaker 3: punished for putting work over our family, in friends or

939
00:49:00,800 --> 00:49:03,399
Speaker 3: whatever it might be. So there's this total tension that's

940
00:49:03,400 --> 00:49:05,680
Speaker 3: happening all the time, and people think that, oh, me

941
00:49:05,719 --> 00:49:08,440
Speaker 3: looking after my family's not enough. You know, me just

942
00:49:08,480 --> 00:49:10,600
Speaker 3: wanting to spend time with my friends, it's not enough.

943
00:49:10,640 --> 00:49:12,799
Speaker 3: That's not a good enough reward. And what I would

944
00:49:12,800 --> 00:49:14,879
Speaker 3: really encourage you to do is actually just think what

945
00:49:15,040 --> 00:49:17,319
Speaker 3: is my favorite thing to do, and then bugger what

946
00:49:17,320 --> 00:49:20,480
Speaker 3: everybody else thinks, and just think I love that that

947
00:49:20,600 --> 00:49:22,600
Speaker 3: makes me turn up as my best I'm going to

948
00:49:22,680 --> 00:49:24,600
Speaker 3: do more of that. And that in itself is a

949
00:49:24,640 --> 00:49:28,440
Speaker 3: recovery that in itself is eliciting flow and reward. And

950
00:49:29,400 --> 00:49:32,000
Speaker 3: because in those times you actually feel, you look at

951
00:49:32,000 --> 00:49:36,560
Speaker 3: your physiology, it's focused, rewarded, and calm, and that is

952
00:49:36,600 --> 00:49:39,200
Speaker 3: the signature of health. So if you've got that, you

953
00:49:39,280 --> 00:49:42,160
Speaker 3: are maximizing life in that moment. That's all life's about,

954
00:49:42,360 --> 00:49:45,760
Speaker 3: pretty much, that combination of things. I've got focus, I'm calm,

955
00:49:45,800 --> 00:49:47,880
Speaker 3: and I'm feeling rewarded. If we could all be in

956
00:49:47,920 --> 00:49:51,719
Speaker 3: that space all the time. Life's a breeze, and those

957
00:49:51,760 --> 00:49:53,680
Speaker 3: things come from things that align with us. So I

958
00:49:53,680 --> 00:49:56,080
Speaker 3: would look beyond the normal scope and I would look

959
00:49:56,080 --> 00:49:58,960
Speaker 3: for things that truly make you feel inspired. That's where

960
00:49:58,960 --> 00:49:59,400
Speaker 3: i'd start.

961
00:50:00,080 --> 00:50:03,799
Speaker 1: Is there a pill for it? Well?

962
00:50:03,840 --> 00:50:05,319
Speaker 3: I mean not yet, not yet.

963
00:50:06,840 --> 00:50:07,279
Speaker 1: I love that.

964
00:50:07,520 --> 00:50:09,719
Speaker 2: I love that, mate. You know what I want to

965
00:50:09,760 --> 00:50:11,239
Speaker 2: I was going to, but I'm not going to. You

966
00:50:11,280 --> 00:50:12,879
Speaker 2: know what I want to talk to you about one day?

967
00:50:13,000 --> 00:50:14,319
Speaker 2: I want to talk to you about one day. We

968
00:50:14,360 --> 00:50:16,040
Speaker 2: don't have time because we're going to wind up. But

969
00:50:17,000 --> 00:50:20,120
Speaker 2: how goods in early morning? Pooh like a great pooh?

970
00:50:20,680 --> 00:50:22,560
Speaker 1: Oh my god? Doesn't that set you up for a

971
00:50:22,600 --> 00:50:23,120
Speaker 1: great day?

972
00:50:23,320 --> 00:50:26,560
Speaker 2: Anyway, Let's talk about that next time. Maybe everybody has

973
00:50:26,680 --> 00:50:29,080
Speaker 2: just gone thank god they didn't talk about it this time.

974
00:50:30,960 --> 00:50:34,279
Speaker 2: How do people find you? How can people steer them

975
00:50:34,320 --> 00:50:40,080
Speaker 2: towards your website and you? And doctor Cam does corporate work,

976
00:50:40,120 --> 00:50:43,200
Speaker 2: he works with schools, He is available for all.

977
00:50:43,120 --> 00:50:43,759
Speaker 1: Kinds of shit.

978
00:50:44,160 --> 00:50:47,320
Speaker 2: So follow him and connect with him and maybe maybe

979
00:50:47,320 --> 00:50:48,840
Speaker 2: even get him into your organization.

980
00:50:48,960 --> 00:50:50,120
Speaker 1: How do people do that? Mate?

981
00:50:50,800 --> 00:50:53,839
Speaker 3: I just google doctor Cam McDonald and then share group

982
00:50:54,000 --> 00:50:57,719
Speaker 3: shae group, and you'll find a web page with all

983
00:50:57,760 --> 00:50:59,520
Speaker 3: of the various links that you need to get started.

984
00:51:00,040 --> 00:51:04,120
Speaker 2: Perfect ideot any final thoughts of wisdom, tiff did you

985
00:51:04,440 --> 00:51:05,760
Speaker 2: glean anything? Yes?

986
00:51:05,880 --> 00:51:09,800
Speaker 3: I do. Actually, in twenty twenty one, the population of

987
00:51:09,840 --> 00:51:13,560
Speaker 3: Gundagey was twenty and fifty seven. Doctor Cam, gone down.

988
00:51:13,880 --> 00:51:15,680
Speaker 3: It's gone down with Jan.

989
00:51:19,160 --> 00:51:24,080
Speaker 1: Did you tell Jan? Well done? That's hilarious. That's hilarious.

990
00:51:24,440 --> 00:51:28,239
Speaker 2: Well I might just call this episode gunder Guy. Population

991
00:51:28,360 --> 00:51:35,320
Speaker 2: twenty and fifty seven. We'll say goodbye affair, but Doc,

992
00:51:35,520 --> 00:51:37,240
Speaker 2: Doctor Tiffany, Doctor Cam.

993
00:51:37,560 --> 00:51:39,120
Speaker 1: Thanks guys, thank you you