Andy Walshe has spent his career at the frontier of human performance, from Australia's post-Sydney Games high-performance system, through a decade at Red Bull, to his current work with Liminal Collective across elite sport, government programs, and executive development. His assessment of where the field actually stands: about a ten out of a hundred.
Harry and Andy dig into what that means. They cover the challenge of building operator-centered performance programs inside organizations still stuck on the basics; why character and creativity are the two most important elements most programs underweight; and how the rise of AI is forcing a reckoning with what makes humans irreplaceable. Andy's term for it is Imagineering: the capacity to generate the questions worth asking, not just consume the answers the machine provides.
They close on the cognitive warrior as the emerging frontier: why cyber and analyst communities, starting from scratch, may end up leading the DOD in human performance, and what Monday could look like for anyone building high performance programming.
If you find value in this discussion, the best way to support our work is to subscribe and leave a quick rating or review — it helps us reach the teams that need to hear these conversations most.
Welcome to the Teamcast.
2
:I'm Dr.
3
:Preston Cline, Director of the
Mission Critical Team Institute.
4
:Here, we discuss all things
mission-critical teams.
5
:These are teams of four to 12 people
indigenously trained and educated who
6
:solve rapidly emerging complex adaptive
problem sets, where the consequence of
7
:failure is death or catastrophic loss.
8
:With my colleagues and our guests,
we bring you insights from combat
9
:zones to emergency rooms, dedicated to
improving the success, survivability,
10
:and sustainability of these teams.
11
:We grapple with how to prepare for
future events and how to develop
12
:language and frameworks to transfer
critical, often unspoken, knowledge.
13
:Whether you're on a mission-critical
team or not, we aim to bring you
14
:the broadest range of topics and
guests as possible to help prepare
15
:you to perform when it matters most.
16
:Thank you for joining us, and
hope you enjoy the Teamcast.
17
:Harry: Okay, Andy Walshe.
18
:Thanks for joining us
on the Teamcast mate.
19
:It's been, a little while in the making.
20
:I'm super excited to speak to
another Australian, in the US.
21
:Welcome.
22
:And, uh, how have you been?
23
:What have you been up to lately?
24
:Andy: Yeah, mate, thanks for having me.
25
:It's great to reconnect here.
26
:Uh, you know, we are still
pushing down the, the road of
27
:the human performance space.
28
:Still learning every day,
which is seems to be the sort
29
:of trademark of the business.
30
:Still got a bunch of elite sports stuff,
some really interesting government
31
:programs we're involved with over here.
32
:And of course some of the executive
and founder work, you know, both the
33
:elite sort of senior execs and some
programs around, startups and founders.
34
:And there's always the technology element
underlying all that, all the different
35
:tech we get exposed to over here to help
us sort of hack the human a little better.
36
:Harry: Yeah, good.
37
:I'm a big admirer of the, the work you
do and Liminal Collective and in my
38
:thinking, you're right out in front,
in terms of what human performance is.
39
:And it really brings me to my first
big philosophical question almost,
40
:you know, what is human performance?
41
:There's so many varying definitions
depending on who you speak to,
42
:a psychologist or a strength
and conditioning guy, but
43
:what, what do you think it is?
44
:And, and kind of where are
we at with human performance?
45
:Andy: Yeah, the sort of way we define
it, probably most broadly, is the
46
:sort of allowing of supporting,
systems and frameworks to let
47
:people reach their potential.
48
:Now, in some cases it may be
winning at a high level in sport.
49
:In other cases it might be business.
50
:In other cases it might be
just getting through the day.
51
:So we always keep that broad
definition of human optimization around
52
:human potential and just allowing
people to be their best selves.
53
:But you know, like you, if you are talking
to the government, it's human factors.
54
:If you're talking to, sports,
it's elite performance.
55
:If you're talking to business,
it's innovation and sort
56
:of sustained excellence.
57
:You know, we change the language
to meet the customer in many cases.
58
:I think the more interesting question
is where are we at with regards to it?
59
:I still think it's early, early days.
60
:Having been born and bred into the
space and fortunate enough to sit in
61
:the Australian system in the early
days when it really did reemerge as a
62
:success opportunity post Sydney games.
63
:I think there's still so much to
be learned, and I think we, in many
64
:cases lose sight of that, especially
people who are new to the industries.
65
:Whenever I hear, " I guarantee this will
work", or "X plus Y will give you Z" I'm
66
:like, all, you haven't been around long
enough to know this, but I think, you
67
:know, that to me, screams opportunity.
68
:I'd say generally on a scale of a
hundred, we're probably at 10, which
69
:means look at all that upside, look
at all that opportunity, look at all
70
:that potential resting in the system.
71
:Tech is definitely unpacking and revealing
certain new nuances and opportunities in
72
:the understanding of human performance.
73
:And I think that's gonna really
accelerate here in the next few years.
74
:Harry: If you're coming into, using
my community, into a military unit
75
:or, or, or organization to start a
human performance program, if you
76
:will, where, where do you start?
77
:Or what's your thinking around how
you approach setting up to maximize
78
:the potential of those individuals?
79
:Andy: Well, we're in the middle of
it right now with a new program over
80
:here, and I think the first phase, as
arrogant as it sounds, but it's sort
81
:of the honest example is you just have
to overcome the rational ignorance.
82
:The human performance world, as you know,
is it's fraught with individuals who've
83
:been to a gym or been in a school club
or even played professional sport and the
84
:sense of awareness of what it is relative
to when you dig into it and look at it
85
:in the most advanced settings, there's
such a big gap there that the first phase
86
:has been how do we bring an awareness of
what it actually is first and foremost?
87
:And this is what modern human
performance looks like, which is,
88
:far more than the weight room and
the running and even the psychology.
89
:There's so much more to
that integrated approach.
90
:And at the same time building, like
stepping stones to get some actual,
91
:programming in place right now.
92
:So, we blend the two.
93
:We try and continue to
elicit understanding at the
94
:senior leadership level.
95
:At the same time, let's give
them tools that we know will
96
:have an impact immediately.
97
:And it's always operator
centric or human centric.
98
:It's always the individual at the middle.
99
:And then we really start with just
supporting them foremostly with
100
:respect to what they want to achieve.
101
:And then look at the broader effects of,
how it could impact the unit, the whole
102
:command or maybe even the entire, general
health in the society if you go that far.
103
:Harry: I guess, one thing I see is
that they struggle with building a
104
:framework, particularly in the military.
105
:And I'm sure it's, equal everywhere.
106
:You know, there has to be a
framework and it has to be defendable
107
:and then measurable, et cetera,
and humans can't and don't work
108
:like that, to a large extent.
109
:But, is there a base framework or a
base understanding or a good program
110
:that you've seen --or an organization--
that you've seen that have done this
111
:well or are on the path, ahead of
other organizations, in terms of that
112
:education piece you're talking about
and then moving to the next phase,
113
:which is implementation and maintenance.
114
:Andy: You know, I think there's individual
communities and different elements of
115
:human performance doing great work.
116
:And you tend to find these sort of
siloed approaches and great performance
117
:psychology program in this particular
area, or great tactical physical
118
:training over in this particular command.
119
:And you Look at all those sorts of models.
120
:We come in with that very generic
model, that's just a starting point to
121
:say, look at all these opportunities,
whether you go the physicality, the
122
:psychology, the cognitive, the medical
side, like just repair and maintenance.
123
:You get into the spirituality,
meaning, purpose.
124
:Creativity is one of the most advanced
programs we offer in that space.
125
:Character.
126
:I have yet to see an organization
really do a high level job across
127
:all the domains that are possible.
128
:Even when you get us to a specific model
that is pointed towards one of these
129
:unique, uh, commands we're talking about.
130
:So I think the best way to approach
it is you show everybody that generic
131
:model, and then sitting down with the
operators first and foremost, and saying,
132
:all right, what does success look like?
133
:Let's really define it clearly.
134
:What does winning look like for you?
135
:And then build your model.
136
:You tell me what's important.
137
:And you know what, they are all
very, very clear on the skills.
138
:Harry: Yep.
139
:Andy: Do this, do that,
do this in a certain time.
140
:Do this when you're tired and
cold, you know, whatever it is.
141
:But I think, when you educate them as to
all these other opportunities, especially
142
:in communities that have been underserved,
so they haven't typically had more
143
:sophisticated approach, the light bulb
goes off and then they start telling you,
144
:well I do need a bit of that, and I need
a bit of this, and I'd like a bit of that.
145
:And once you define that model of
operator excellence or performance
146
:excellence for that community and then
maybe you're running into the challenge
147
:that the highest performing community
such as your old guard there, it's easy
148
:to measure the fitness, in fact, fitness
and, and strength and all that are not
149
:even on their board once it gets to the
higher level special mission groups.
150
:It's creativity, problem solving, it's
obviously their values and ethics.
151
:There's meaning and purpose.
152
:They're probably there for a reason
beyond themselves for the most part.
153
:So that's usually boxes
checked in some regard.
154
:And then you get into the character,
intuition, compassion, empathy,
155
:and everybody, every one of these
commands, as you know, has that
156
:all written all over the wall.
157
:It's in their ethos.
158
:And so everybody recognizes these
are the most important things,
159
:but tell me how to measure that.
160
:I think we select better than we train
it, but even training and bringing
161
:awareness to it is, it's sort of the
emerging tactics of those groups.
162
:Harry: Yeah, it's a great point
about intuition, character,
163
:imagination, creativity.
164
:Are we in danger, do you think of
overweighting a laser-like focus on
165
:the performance rather than the person?
166
:And in doing so, are we, you know,
diminishing their ability to intuit,
167
:and be imaginative and creative?
168
:Andy: Absolutely.
169
:Obviously Defining your performance
metrics helps with that regard.
170
:But I think, our simple framework is
better at you than better at what you do.
171
:So let's get back to that human
and those fundamental human
172
:qualities and focus on that first.
173
:So inter receptiveness, creativity, all
those skills that are really part of being
174
:more human and allowing that to be your
sort of central or foundational point.
175
:Then you can layer on
everything else as you measured.
176
:And I think what's happening, and we
call it the human machine paradox,
177
:where the technology's racing, you
know, democratization of knowledge.
178
:Knowledge will be worthless.
179
:Tacit knowledge will be worthless.
180
:Already the machine's got me at all
ends in terms of tacit knowledge.
181
:And it's probably gonna have
everybody in the next 12 to 18 months.
182
:So then the paradox is with all this
technological advancements, which to
183
:your point I think is driving a, has
driven a focus on the measurables.
184
:We are now looking at the opportunity
to make humans more human.
185
:Yeah.
186
:And so how do you train intuition?
187
:How do you train and for empathy,
anti train compassion and, you
188
:know, your counterparts over here
in terms of Euro command and all
189
:the other special mission units.
190
:That's the conversations we're
having with them right now.
191
:How do you, how do you actually
coach and elevate creativity?
192
:You can select, but how
do we even train to it?
193
:How do we train to intuition?
194
:How do we bring some of those skills back?
195
:And even in sport.
196
:Recently, talking to a pitching coach
and he was talking about how with all
197
:the technology, the machine can read the
pitch, the baseball pitch, can look at
198
:the spin, can look at all the elements,
and give you a report straight away as
199
:soon as the pitch is done and what it did.
200
:So the kids are looking over at the report
versus really learning real time so that,
201
:you know, so we're creating a bias towards
this sort of knowledge for knowledge
202
:sense without, let's read the play,
read the emotion, read the body language
203
:of the pitcher coming up to the plate.
204
:And I think we do run the risk
of dehumanizing the individual
205
:in these very, very quantitative
assessment-based performance programs.
206
:Harry: Yeah, it worries me.
207
:From here, from where I sit in, in
Australia and the organizations I work
208
:with one of the challenges is to kind of
"unoptimize" some thinking to an extent.
209
:And the mechanistic language
of optimization and programming
210
:and these types of things are
useful, there's no doubt about it.
211
:But I do worry that in the race to
optimize, we focus on the parts and forget
212
:the whole, and, it's a hard line to draw
and it's certainly not a causation, but
213
:it's one of the things that, contributes
to the underlying problems we see
214
:in athletes and operators at the end
of their careers, can be very short.
215
:You know, the average operator life here
is maybe six or seven years on average.
216
:Athletes are probably less than
that without going to raw numbers.
217
:But, given they go into the system at 14.
218
:These days or 15, they can be in a system
for 10 or 15 years and not have life
219
:changing money or life changing means.
220
:And I wonder if that's happening
where our, modernization is working
221
:against being a human in a way.
222
:It's almost crazy that, you and
I are having this discussion.
223
:You certainly are a world leader
in thinking, um, I, I think
224
:a lot about this stuff too.
225
:And it's crazy to be having a
discussion, how do we make humans
226
:more humans in the face of modernity?
227
:But it is a real thing.
228
:What's your thinking around
training, intuition, creativity,
229
:imagination, those kind of more
human qualities that potentially
230
:go to character, as you mentioned?
231
:Andy: Yeah.
232
:You know, it's, it's the
hard part, as you said.
233
:'cause again, it's.
234
:It's more of an education
and awareness, we're finding.
235
:Like, you can say, Hey, I'm gonna do
this creative leadership program that,
236
:that we operate and say, all right,
you're not gonna come out more creative,
237
:but you are gonna come out with a
greater awareness and understanding
238
:of that, sort of genre of performance.
239
:And we think creativity is
the most important element.
240
:Character and creativity.
241
:The most important elements of a human
performance program of any merit.
242
:Harry: Right.
243
:Andy: So let's just have that
conversation first and foremost.
244
:Let's talk about that.
245
:You recognize it's important.
246
:You select for it, especially
in your old command.
247
:But then how do we actually continue
to develop it and maintain it?
248
:And, and I think what we're
seeing in that regard is that you
249
:start with a really deep dive.
250
:And we were lucky when I was at Red Bull.
251
:I had about.
252
:You know, there were several thousand
artists, musicians, filmmakers,
253
:photographers in the program, which
don't get the press that the action
254
:sports, the crazy stuff does.
255
:But the reality was working with
those communities, you realize
256
:that there, they do have a
framework about which they operate.
257
:Musicians do typically have a model,
very much their own, uh, their own
258
:cognitive structure about how they do it.
259
:And so we started to ask them all,
and we mapped it out and we had
260
:the machine read all the research.,
261
:We laid it all together.
262
:And we came out with basically a process
that covered the creative elements in a
263
:way that we could put a structure to it
so that, it could actually be tangible.
264
:Now, the pure creative for creative
sake, they'll argue that just talking
265
:about it wrecks the whole process.
266
:But we said, look, first
step is imagineering.
267
:You've gotta redevelop or reconnect
to that skill of coming up with
268
:the ideas and what are you doing
to give yourself new perspectives
269
:and new models to think about.
270
:And then the second phase program
is you gotta sell the vision.
271
:How do you get people on board?
272
:How do you bring them along with you?
273
:And that's a storytelling you.
274
:And if you can't do that,
you're gonna be alone.
275
:Then you've gotta build a team, which I
think is always overlooked, like a team
276
:to work in that space of mission critical
teams, it's uncertainty on steroids.
277
:You can plan and then you move to another
plan based on what's happening around you.
278
:So you, you're pivoting a lot.
279
:And so a team that is operating
on its own high autonomy.
280
:It's a very different team than
a team that's built to execute.
281
:And you need both.
282
:And then you've gotta go through
the creative process itself.
283
:And now that's where the
machine does tick in.
284
:Like how do you use the machine to
bring new ideas to the forefront
285
:to stimulate your thought?
286
:Not to take your thought,
but to stimulate it.
287
:And then I think the one that's
always overlooked in our model
288
:is that navigating uncertainty.
289
:At some point, guaranteed, you're
gonna go off the rails here, it's
290
:gonna go off a cliff and you're gonna
have to reconstitute the team and
291
:you pull everything back together.
292
:Those nights and evenings where
all hell is breaking loose.
293
:You don't know anything about anything
that that's gonna happen the next day and
294
:you're sick to your stomach and salaries
are on the line and revenue's on the line.
295
:And then finally, you've gotta
bring it all together into that
296
:performance, aggregating all
that into one clear vision.
297
:And I think that gives you a framework.
298
:Now you can argue whether it's right
or wrong, but I think at least you can
299
:say, what am I doing for Imagineering?
300
:What am I doing to train my, my
community and lead with storytelling?
301
:How do I learn more about creative
teams, not execution teams?
302
:How do we all learn how to navigate
it when it goes pear shaped?
303
:You know?
304
:So those are the things
you can actually train.
305
:We've had great success with that model.
306
:it at least gives people something
to anchor on, if that makes sense.
307
:Harry: Yeah, definitely, what We see more
operators going off to the world, one up
308
:or two up rather than in intact teams,
where there are specializations but also
309
:generalizations and you can build those
teams fit for purpose and they can meet
310
:uncertainty or they're very happy to go
into as I say, kind of VUCA environments.
311
:But, now training individuals, we're
kind of going back to the beginning, I
312
:guess, training, selecting individuals
and training individuals and developing
313
:what I call a training intelligence,
which is that ability to be able to
314
:be fully autonomous, to be able to
tie things up with wire and tape and
315
:just make things up on the run and,
you know, excuse the French, but, get
316
:shit done, you know, with what they,
with the limited resources they have.
317
:And, and there's a part
alchemist and part rationalist.
318
:Mm-hmm.
319
:And we can still select for that, but
I guess in terms of having a operator
320
:ready off the end of the conveyor belt
to go off on one of those types of
321
:missions, day one is the challenge,
and you mentioned something there,
322
:rational mind versus the intuitive mind.
323
:And, it reminds me of an old Bob Samples
quote that often is mis-attributed
324
:to Einstein that the intuitive
mind is a sacred gift, and the
325
:rational mind is a faithful servant.
326
:And as a society, we've kind of, we honor
the servant and have forgotten the gift.
327
:And, we chatted before we came
on about the operator's place
328
:in human performance programs.
329
:And this kind of summarizes your
point about convincing the leadership
330
:of where we're at and educating the
experts, leaders and scientists and et
331
:cetera, around the operators --pulling
the operator back to the middle of the
332
:framework and having the experts rather
than the masters of their domains,
333
:the servants to the operator's needs.
334
:I would argue in Australia there
are massive silos in military,
335
:and I see it in sports as well.
336
:Um, what do you see in the world
around experts and the contest between
337
:the operators as the main effort
and the experts as the main effort?
338
:Or is that something you agree with?
339
:Andy: I learned long ago that the
talent knows what's best and that's your
340
:first assumption and I recognize that.
341
:Harry: You caught it before
rational ignorance I think
342
:Andy: Well, that's actually a
little bit of the, just the little
343
:general lack of understanding of
you dunno what you don't know.
344
:The talent knows the edges and they
come into you and they say, we want
345
:to do this thing that's pushing the
boundaries of my field and there's
346
:no way, not being a master in that
craft, that I can actually even judge
347
:their awareness of where the field is.
348
:You know?
349
:That they know the edges, and so my
belief in that, they know the edges
350
:and then they know, within realm or
within reason, what's their capabilities
351
:are to go beyond those edges.
352
:Now, my main role there would be to, all
right, let's just cool your jets a little.
353
:You may be, there may be a
little overconfidence-y here.
354
:You know, we don't want anyone to get
killed doing this event, but the reality
355
:is the best ideas came from the talent.
356
:So I always knew that.
357
:And so then you use that as your, all
right, if they know what they know.
358
:And they dunno what they dunno.
359
:And this is where the
rational ignorance ties in.
360
:Let's make them aware of all the other
ways that could potentially support them.
361
:Like as you say, they're at the center
and all these other people are in service.
362
:And if anything you do makes them
or helps 'em, they'll love it.
363
:So the honest is on us, them make know
what we're doing and have an impact.
364
:No top performer will go, oh,
I don't want any more of that
365
:shit that's making me better.
366
:No one ever says that.
367
:Yeah.
368
:So it's on us to then bring to the
table now where they do need expertise
369
:and this a bit of a sage and the wisdom
comes in is I can come and say, well
370
:you're trying to do this and you think
this latest technology will get you that
371
:you're trying to do this particular thing.
372
:We've seen it done a hundred times
this way by this other community and
373
:we are just shifting knowledge basis.
374
:So let's try their approach
first and just fast track that.
375
:So we bring a lot of the, I think,
shortcuts, we help them coordinate.
376
:We know what else is out there.
377
:They're in the silo.
378
:So our job is just to
move the blinders out.
379
:And then even when we come up
together and it's a partnership
380
:more than it is a program, try this.
381
:Does it help?
382
:If it does, stays.
383
:If it doesn't, we get rid of it.
384
:And then the reality in that
conversation is, and you mentioned
385
:it with respect to the silos, is
everybody thinks their shit's the best.
386
:So the doctor thinks the
medical program's the best.
387
:The nutritionist thinks
food's the solution.
388
:The fitness coach thinks
the fitness is the solution.
389
:The coach thinks it's skills, which
you kind of want, but you also want
390
:them to be mature enough to go, well,
maybe my piece of the puzzle isn't as
391
:important to this individual at this time.
392
:It may, may become important down
the track, but that's where you
393
:have to break those silos down.
394
:So I think at first they know what's best.
395
:You show them a broader world.
396
:With their skills and their
awareness of what's possible.
397
:And then you may basically make
them a super user of your tools.
398
:They bring them to life in
ways you'll never imagine.
399
:And we've sat down with a group or a
team or an individual and said, all
400
:right, given all the information you
shared and this partnership, we're
401
:gonna provide this, this, and this,
and I think this will do this for
402
:you and this will do this for you.
403
:The number of times they'd come back a
few years later and go, you know what?
404
:That really helped, but
not in the way you thought.
405
:Harry: Yeah.
406
:Andy: I took what you gave us
and I made it my own this way.
407
:And then we learned back.
408
:So that's that partnership in action.
409
:We provide maybe a perspective
or a tool or a technology they've
410
:not been seen or exposed to.
411
:They align it into their world
according to their model.
412
:Harry: Love
413
:Andy: it.
414
:And their mental framework.
415
:And then they, they spit it back to you
and go, you know, when you taught us
416
:about how to do this in the big waves.
417
:You thought it would do this
for me, but you know what?
418
:It actually helped me understand
this, which led to this.
419
:And then they share that.
420
:That's aha.
421
:So I think, you know, that's
the approach we always use.
422
:It's a partnership, it's an awareness.
423
:It's, it's trying to provide,
if we can, shortcuts.
424
:Like if someone says, I want to get fit,
I'm an executive and I wanna get fit,
425
:we're not gonna go reinvent any fitness.
426
:Reality is we've got hundreds of
years of cumulative knowledge and
427
:fitness into the Olympic level.
428
:Let's just take the basic lessons
from that program and give it to 'em.
429
:They don't need reinvent that.
430
:So that's where it becomes really fun.
431
:Harry: I love that, mate.
432
:That's that training intelligence, I
guess, where you are giving them the
433
:wherewithal and handing it over to them.
434
:You know, it's less about the evidence
and more about what's evident to them.
435
:That's not to say evidence isn't
important, of course it is.
436
:I think that that's where I kinda see
that a bit of an arm wrestle going on.
437
:Andy: Yeah, no, to your point though,
mate, what I'll be very clear is, and I
438
:think this is where our business suffers
from that consultancy model where I have
439
:to create a need, so I keep my job and
I think we look at it very differently.
440
:If we're any good at our job, most
people don't need us after 24,
441
:36 months, they should graduate.
442
:Harry: Yeah.
443
:Andy: You know, we really should be
able to get out of the way and make
444
:them the expert operator in their world.
445
:And then we're just feeding their
knowledge base with the latest and
446
:greatest and maybe, oh, we just saw this.
447
:Have you thought of this?
448
:So.
449
:You know, that doesn't work in a
consulting model where, you know, you
450
:want 'em to be attached here forever.
451
:Harry: Particularly in, in my old
community, you know, around the world
452
:we select for smart, you know, fit
obviously the, the, the, physically,
453
:durable as well, but very smart operators.
454
:And then we tend to squander it a little.
455
:We, we tend to then turn them into a cog
in the machine, which is, you know, that
456
:kind of utilitarian approach, which,
I struggle with a little bit at times.
457
:Um, and I also love what you said
about that in that partnership,
458
:Aristotle and Plato talked about
being midwives to their, their
459
:knowledge, birthing their knowledge,
creating sparks in them, as you said.
460
:And I think in that partnership that
you've just described as a small e expert
461
:or a consultant coming in, I probably
learn more framing it in that way.
462
:Um, putting them first and handing
over the reins as much as you,
463
:you can, I probably learn more
individually than I do, bringing in
464
:my kind of off the shelf knowledge.
465
:It's almost like you are the
gardener and you're just creating
466
:hopefully the environment.
467
:You mentioned character and creativity.
468
:Over your time, how have you come
to see these as two of the most
469
:important aspects of or potentially
at the center of human performance?
470
:Andy: I love this question.
471
:'cause to me it was an awakening I had.
472
:And you know, the character thing I
think is the easiest one because I
473
:think even your community, there's
the threshold fitness, resilience,
474
:you probably need to know how to
shoot a little, things like that.
475
:But reality is you can
train a lot of that.
476
:So you, as, as part of your selection
events, make it increasingly
477
:more difficult and challenging
just to see how people show up.
478
:And when they show up as who they
really are, you tend to make a judgment
479
:call as to whether that's the type of
ethos that suits our community or not.
480
:And each special mission unit has
its own priorities amongst that.
481
:But you know, typically, it all boils
down to are you someone we can trust to
482
:do the right thing when it really counts?
483
:I'm not trying to disservice any of
the communities, but with that level
484
:of lethality, you want someone who, you
know, at the end of the day you can trust.
485
:I think character, and when you look
again at all the locker rooms around the
486
:world and all the sports facilities, it's,
it's team, it's integrity, it's courage.
487
:It's all those classic virtues.
488
:And when we started to look for a
framework, we, we stumbled across the
489
:work of Peter Rea, who I think has
spoken to your community in the past, Dr.
490
:Peter Rea.,
491
:I think his book's title, better
humans, better performance.
492
:the classic virtues, which arose at
the time of Plato and Confusionism
493
:centuries and centuries ago, but
trust, compassion, courage, justice,
494
:wisdom, temperance, and hope.
495
:And he made a business case in his
book about these virtues, and again,
496
:you could define character or ethos or
values in whatever language you want,
497
:but typically what I love about his model
and these classical virtues is that no
498
:matter where you are in the world, no
one ever says, I don't wanna have more
499
:courage, or, I don't wanna be more wise,
or I don't wanna have more compassion.
500
:They align pretty well with the world.
501
:So let's take that framework.
502
:One it's always been seen, I
think by the highest performing
503
:communities as critical.
504
:I think you see it when you
sit down with the teams.
505
:If you think back about the teams
that you've loved to been on,
506
:people were good with each other.
507
:They were about servicing
each other before themselves.
508
:He calls courage doing the hard
right versus the easy wrong.
509
:They wanted to live by the
conviction, not circumstance.
510
:And as a wisdom, he defined it as strike
to understand versus be understood.
511
:Temperance.
512
:Calm is contagious, you know.
513
:And hope.
514
:you think about the Stockdale
paradox, realistic optimism.
515
:Yeah, I could go terribly wrong, but
I'm gonna look out glass half full.
516
:And I think there's plenty of research
now that shows that if you maintain that
517
:positive mindset, realistically positive
mindset, you live a longer, happier life.
518
:So the reality is that character stuff,
that framework that Peter identified
519
:really does give us a model by which you
can start to look at those individual
520
:elements and start to develop them.
521
:And I think paying attention to those
in any training, again, if the machine
522
:has got all the tacit knowledge or
domain specific knowledge in the
523
:world, then what are you left with?
524
:You're left with these human qualities.
525
:We can layer intuition in there
as well, whatever you want.
526
:And I think as the machine gets
brighter and brighter, we have
527
:even more of a responsibility
to double down on those skills.
528
:So I think that to me was the awakening
in that space, that it was always there.
529
:I just think we, it's reemerging now.
530
:Given the machine and the
rise of intelligence at AT, at
531
:that level, it forces us now.
532
:That's how we, that's why we train it.
533
:That's why we're so deep on that side.
534
:When it comes to creativity,
similar awareness, just
535
:watching world class performers.
536
:And it just dawned on me one day, the best
in the world, reimagine what's possible.
537
:They redefine the genre, they
redefine that area of mastery, and
538
:they do it in a way that allows them
to have a competitive advantage.
539
:It's about winning.
540
:It's about outthinking,
outsmarting a competition.
541
:I got the action sport community in
spades when I took the job at Red Bull.
542
:Harry: Yep.
543
:Andy: They've really honed their
craft and they're hyper creative.
544
:The tricks were changing every week.
545
:The actual sports were
progressing very quickly.
546
:So I was like, what a missed opportunity.
547
:We, you know, I go to football
practice and everybody's lined
548
:up and everybody does this drill.
549
:Everybody does this drill.
550
:I'm like, where's the play?
551
:And then when I got to work with
all the artists and musicians,
552
:I was like, holy hell, there's a
whole untapped knowledge base here.
553
:Let's just take fitness and
everything else is given and the
554
:skills, everyone's pretty good.
555
:Or even in your community,
the standards are set.
556
:And once you hit those standards,
you, there's a little internal
557
:competition to get past 'em, but
for the most part, you're too
558
:damn busy to spend too much time.
559
:So then it's that problem solving,
it's that it's that showing up
560
:the right way when it's hard.
561
:It's all those things
that we've talked about.
562
:For years when we were doing the
Hacking Creativity Project that we
563
:did, the research, i'd been using a
clip of, Ray Charles, which is in a few
564
:of the talks I've given, which was an
interview with him about creativity.
565
:And he's Talking about, the piano
and his words are something to
566
:the effect of, everything you can
imagine is inside of this piano.
567
:It has everything possible in it.
568
:You know, he is speaking to the idea
that the piano has infinite capabilities.
569
:And he said, all you have
to do is think of it.
570
:Yeah.
571
:So, Imagineering.
572
:And then when I was doing a, now
I was doing a bunch of work on
573
:AI and coaching and all the rest
of it, and I was like, oh my God.
574
:He had the model by which we have
to interact with the machine.
575
:If the machine has every bit of
knowledge in it, if it's an Einstein
576
:or Mary Curie or whatever you want
in your fingertips, then your job
577
:is to imagine the possibilities now.
578
:And I think to your earlier point,
going back, I think we've defaulted
579
:to this, oh, do my homework, you know,
answer my emails, book my flights.
580
:Which is a great resource to have.
581
:But if you really think about
it, if this is this all knowing
582
:all smart tool in our pocket.
583
:What are you doing to show up,
generate the ideas to challenge it.
584
:So stepping up to the conversation
with the machine is the thesis of our
585
:human machine teething conversation.
586
:And fundamental to that is imagineering.
587
:Can you imagine the question to ask it?
588
:Not just have it do the hard work.
589
:So to me, given that the machine is
just getting smarter by the week and
590
:it still makes mistakes and I'm not
worried about those conversations.
591
:I think the reality is doing the right
thing with that intelligence is critical.
592
:And having the ability to imagine
a future or possibilities that
593
:are not imaginable right now.
594
:And challenging the machine to solve
that problem is two of the most powerful
595
:tools we have in our kit, and that's why
we're so doubled down on those two areas.
596
:Harry: Yeah.
597
:I love that Imagineering.
598
:And, again, kind of blows your
mind to think that talking about
599
:imagination, creativity, intuition,
those types of things, at the
600
:forefront of human performance
with a capital H in front of it.
601
:And I want to come back to the
human machine teaming, and that's
602
:where we'll kind of start to turn.
603
:But this is part of, I think what, you
know, Percy Cerutty, one of my great,
604
:mentors from the grave, you know, was
I think shaking his fist at, you know,
605
:we're in danger of, focusing too much on
the performance and not on the person.
606
:And Herb Elliot said about him, he
didn't leave you a better athlete.
607
:He leave you a better human.
608
:And in fact, the performance, the medals
and the outcomes were a small part
609
:of what Percy was doing was actually
creating this, you know, it's got the
610
:old loaf of bread analogy, not focusing
on the slice, but seeing the whole loaf.
611
:But before you go onto the human machine
interface and teaming, for the people out
612
:there, for the instructors and the cadre
looking for things that they can do to
613
:implement more part play or creativity.
614
:Is there, have there been any activities
or approaches that you've seen out
615
:in the world that, you know, a team
of operators sitting around can do
616
:more to practice their creativity,
to open their minds a bit more?
617
:Or anything come to mind for you?
618
:Andy: Yeah, I think we've been
so fortunate we've had a deep
619
:relationship and partnership with
the Cirque du Soleil element.
620
:I think immersing
yourself in those worlds.
621
:And it's really hard.
622
:Like we literally just had a
group, a military group, come out
623
:and we put them in the middle of
a cirque training evolution, the
624
:sort of emotional regulation, the
sort of acting class, if you like.
625
:And it Was trying to fit a square
peg into a round hole at some level.
626
:But as you saw them as as
627
:Harry: rolling eyes,
people rolling eyes and
628
:Andy: Oh my God,
629
:Harry: jaws dropping, yeah.
630
:Andy: What are we doing?
631
:And I purposely bring a couple of high
level creatives into the conversation.
632
:Two of our best in that
space are choreographers,
633
:And they work with us a lot.
634
:And if you sit and have a beer
with 'em, at first you, it's like,
635
:are they speaking my language?
636
:The emotion, the connection, the
way they see the world and you
637
:just have to spend time with this
group and I say, I literally get
638
:up and say, let it wash over you.
639
:Don't try and fit it into a system.
640
:Don't try and figure out how
to take something here and put
641
:it to work on Monday morning,
'cause it doesn't work that way.
642
:So that first awareness and awakening
takes a little time but it's super
643
:fun 'cause they're high performers.
644
:So you are always getting
something outta that conversation.
645
:The trick is find someone who's really
world class on that side of the shop.
646
:Harry: Gotcha.
647
:Yep.
648
:Andy: World class talent, a coach.
649
:Spend time in that community.
650
:Be curious, inquisitive.
651
:So we do a ton of that and we spent an
afternoon imagineering the future of
652
:battle space, in a recording studio.
653
:And just the recording studio shifted
the mindset of, oh my God, this is
654
:just a different space, different feel.
655
:That's a luxury to be
able have that access.
656
:So that might be hard for
a lot of the instructors.
657
:I watch shows about musicians, rock bands.
658
:Every documentary on music I try to watch.
659
:Watch that, the sort of whole story
every how industrial light and magic did
660
:all the science fiction for Star Wars
and listen to how they talk, I mean,
661
:there's so many great examples out there.
662
:Harry: Yeah.
663
:Andy: Just immerse yourself in that world
and it'll just start to come to you.
664
:It again, if you're looking for
one plus one equals two, better
665
:off sticking the pushups, you know?
666
:But the reality is, yeah,
667
:I hate to say it, but you can imagine
if, if I was to take your old cadre,
668
:your old unit, and I was to get up
and try and teach 'em stuff, they,
669
:they'd probably do the courtesy of
listening, probably, you know, after
670
:an hour or two, "all right, we're done.
671
:We've got what we need."
672
:I put your cadre right
next to Ray Charles.
673
:We'll have them talk.
674
:You can imagine the depth
of that conversation.
675
:So that's essentially what we do.
676
:We bring world class talent in.
677
:We curate, we might give em a
framework that's a little activity.
678
:So what are you doing for Imagineering?
679
:Take your team out.
680
:Visit some of these places.
681
:Go to non-traditional performance
communities where people are pushing
682
:the limits in their world and,
and try and just absorb and learn.
683
:And so that's what we do.
684
:And then we, we do have models
and that and, and evolutions we
685
:can run within that framework.
686
:But those are the two things
that I think are the most thrown.
687
:Like I told this whole group, go
out to the sphere in Las Vegas.
688
:Which is the big sphere, the big dome,
the bubble in Las Vegas, which is I
689
:think 16 K cameras, 300 feet high.
690
:And we were talking to a group
of high performing analysts,
691
:in the government setting.
692
:And I said, how do you get information?
693
:Is it just off your screen?
694
:What about being immersed in the data?
695
:Like the data just envelopes you,
which is what happens at the sphere.
696
:Yeah.
697
:I said, go to the sphere and sit
there and just listen to the music.
698
:Watch a band.
699
:And a couple of them did it.
700
:They're like, oh my God.
701
:Never felt that experience.
702
:So again, all we're doing is back
to that blinder conversation.
703
:We're giving them that perspective.
704
:So first and foremost, talk about it, site
visits, guest lectures, things like that.
705
:But that's typically I think, the
easy and the lowest hanging fruit.
706
:Get out there and visit and spend time.
707
:An Australian symphony.
708
:The school in Sydney, the acting
school, I forget its name, right
709
:near University of New South Wales.
710
:Anyway, you've got these centers
of excellence in the arts and
711
:crafts, and just get in, get
in there, talk to the talent.
712
:Harry: I read a lot, recently on
the agoges, the Greek agoges, the
713
:schoolhouses where they train for war.
714
:I'm talking 3000 odd years ago, or
two and a half thousand years ago.
715
:The more you read, the more
you realize that, the men and
716
:women play things like dance.
717
:Uh, they were learning the code and
societal values, how to be a good citizen.
718
:but poetry and dance and, and
theater and dialogue and et cetera
719
:were front and center, alongside
mathematics and war fighting.
720
:Um, and as you alluded to, you know,
the eyes start rolling pretty quickly if
721
:you go in front of a bunch of operators.
722
:But having said that, I think
there's a more openness to it.
723
:And I love that point about
going to recording studio mate.
724
:I play in a band myself and the language
is completely different and it's more
725
:about the ineffable qualities of teaming.
726
:So how do a bass player and a guitarist
and a drummer talk to each other through
727
:their instruments and, you know, it's,
it doesn't have words and the more
728
:you try to put explicit terms onto
it, the more it kind of diminishes it
729
:and impoverishes the whole process.
730
:I think that's, you know,
kind of full circle back to
731
:that intuitive imagineering.
732
:I love that term.
733
:Andy: Yeah, I'll give you an example
of a workshop, uh, take, um, "Get
734
:Back" that Beatles documentary.
735
:Harry: Yep.
736
:Andy: We cut up segments of that and
we put in front of a group of, high
737
:level leaders and say, okay, how
would you lead this group right now?
738
:We watch the music, we watch the creation.
739
:It was that Abbey Road recording,
two months to come up with a record.
740
:So people say there's
this creative process.
741
:No, no, there's deadlines in creativity,
there's schedules, there's budgets,
742
:constraints, there's all these things.
743
:And I Literally posed the question
at the end of the clip, said,
744
:how would you lead the Beatles?
745
:And there's no right or wrong, it's
just, oh my God, what would I do?
746
:Uh, throw 'em in the room and
toss a case of beer at 'em.
747
:And that's one answer.
748
:No, I might try to give them other
experiences or other perspectives, which
749
:they're already in embarking on anyway,
just, the conversation is enough to bring
750
:awareness and the right leaders get it.
751
:It's a much more, to your point,
Socratic conversation around a
752
:concept or a principle with, you
know, no one's trying to be right.
753
:Everybody's trying to extract or
add value to the conversation.
754
:Experiment.
755
:Yep.
756
:That's
757
:Harry: Not, not afraid to fail.
758
:And, you know, there's probably
less on the line in terms of
759
:failing writing a song than there
is, you know, conducting a mission.
760
:But it Doesn't diminish one iota,
the underlying principles of what
761
:you wanna achieve and the creativity.
762
:You know, what's making it hard,
Andy, is the human machine interface.
763
:And, as we head towards , the end of the
Teamcast, I'm fascinated with some of the
764
:work you're doing currently around how do
we set, for example, cyber operators or,
765
:you know, the new bastion of special ops.
766
:There's a lot of special missions
guys out there who bristle at this,
767
:but the next generation of special
mission operator is not gonna look
768
:like the classic baseball cap wearing
gun toting, you know, knuckle dragger.
769
:It's gonna look a lot different.
770
:Mm-hmm.
771
:And you're at the forefront.
772
:Where are we at with
human machine interface?
773
:You know, what are you seeing and, what
have you been up to in this domain?
774
:Andy: Yeah.
775
:I Think it comes back to that balance
we spoke about at the beginning.
776
:What is the machine elegantly
and more effectively capable
777
:of doing, and where do you sit?
778
:So I think it's always about sitting
on that seesaw and you maintaining
779
:the deep human development and the
human characteristics and ethics and
780
:bringing that to the conversation.
781
:So I don't think that
relationship shifts at all.
782
:I do think, what we're seeing
in the space, in sort of like
783
:the cognitive warrior program
is there is gonna be a shift.
784
:I mean, why would you send a group of
men women into a room that's potentially
785
:dangerous versus a dozen robots?
786
:It really doesn't make any sense.
787
:Let's send that in first and
just see if anything gets boom.
788
:Harry: Mm.
789
:Andy: And I think you see it in Ukraine
right now 'cause that's probably the
790
:most creative war fighting environment
in the planet right now, you're just
791
:seeing that the ability of the machine
that never sleeps to have all better
792
:vision, better thermal vision, all
night vision like the machine and its
793
:associated platforms horizontally and
vertically, kind of, you poke your head
794
:up over there, you tend to light up
some signature that, that, that says,
795
:yeah, look at me, this is where I am.
796
:And then they can send in things
as, you know, even in that simple
797
:environment, deadly consequence.
798
:Now imagine that with a foe like
a China or someone who's really
799
:advancing the technology, there's
really a shifting model of operation.
800
:Not to say that they'll all go away,
but I definitely think you've gotta
801
:play the game very differently.
802
:So how do you develop the
skills and requirements?
803
:And I think there'll still be that fitness
and they'll still need to be physically
804
:resilient and all the rest of it.
805
:But there's also gonna probably be a
very high cognitive demand, higher than
806
:ever, with all the different platforms
and different screens and different
807
:systems they have to interface with.
808
:And I think that's where we are
really underserving the community.
809
:'cause there's no centers for cognitive
excellence anywhere in the world.
810
:We're trying to stand one up over
here, but there's no place to go.
811
:There's lots of Brain Health lots of
longevity and make your brain live
812
:forever places popping up, but there's
not one central repository of all the
813
:best information on what it takes to
really sharpen and optimize the mind.
814
:And it, why would it's the damn com
most complicated element of the most
815
:complicated system in the world.
816
:So I think, how do we think about
optimizing that side of the equation?
817
:It's not a battle of muscle.
818
:It's a matter of battle of
brains, but the reality is it's
819
:now less room for the muscle.
820
:'cause maybe a platform
takes that off you.
821
:I saw recently, as, you know, the
robotics, the evolution in robotics and
822
:the platforms that are possible now.
823
:Which to me again, speaks to this idea
of how do we bring that human element
824
:to life and that operator, how do we
sharpen that cognitive capability?
825
:So that to me is the most exciting
part about the human performance
826
:space right now, is finally we're
en entering a space where we can't
827
:default to much physicality at all.
828
:Especially if you're an analyst or a
drone operator or something like that.
829
:You have gotta be
cognitively on your game.
830
:And as you know, it's, it's not an
a, a, a job without consequence.
831
:It's just, and you may see it in 3D, 4K
resolution, so you are, you're feeling the
832
:out outcome as, as much as potentially,
well to a level that actually can have
833
:an impact by positive and negative.
834
:And how do you develop
the talent to do that job?
835
:Harry: I like the idea that you've
posit there, that, you know, in
836
:the past, the physicality, the body
has been the primary focus as as,
837
:which is an obvious thing to say.
838
:And that's, that's probably not going
away, but there's this, there's this new
839
:priority that the body is, we want it at.
840
:It's in its best functioning
state to support the brain, that
841
:that's really the underline.
842
:So it becomes this secondary thing.
843
:So still super fit, still able to
go, you know, carry large things
844
:and lift big things and, yeah.
845
:But it's not in support of the mission
as much as it is in support of the
846
:brain, which is the main, focus.
847
:And again, you know, I've always
thought that, being frustrated, I
848
:guess it's one of the reasons I was,
I was one of those disruptive kind
849
:of figures in the unit because I, I
thought we squandered the operators.
850
:What we selected them for that,
that cognitive abilities, the,
851
:the general aptitude there.
852
:And, we just took them, selected
them for that, and then seemed
853
:to just put them off into a team.
854
:And as I said, kind of become
this cog in a big machine.
855
:We talking about the cyber
operator or you mentioned them
856
:as a cognitive, warrior concept.
857
:I know, there's some frustrations
with trying to educate people the need
858
:for this and where does this take us
in the future of human performance?
859
:Andy, what do you see out in front
of us we've talked a bit about it,
860
:but, what's Andy Walshe looking at
on the horizon and his horizon as
861
:opposed to all us back behind you?
862
:Andy: Oh, no, I wouldn't say that.
863
:The, um, so there's a real challenge.
864
:The real challenge goes back
to our earlier conversation.
865
:Let's think of the analyst, the
cognitive warriors, let's just say
866
:someone who's dominantly making
decisions in some sort of environment
867
:where there's you systems of feedback,
intelligence, screens, whatever you want.
868
:You are taking an individual that
even in the mainstream, so the
869
:private sector, there's no real high
performance programs for programmers.
870
:We've done a few over the years or
engineers, but you really, it's a leap of
871
:faith to say, what the hell is this group?
872
:Why would they have a equivalent of an
Olympic level high performance program?
873
:So if you think there's rational
ignorance in an organization,
874
:try to take a group that's never
even been exposed to some form of
875
:performance and try to elevate them up.
876
:So there's a lot of education there.
877
:Harry: Can we learn from
gaming in that context?
878
:Andy: yeah.
879
:And That's, that's one of the areas
we spent a ton of time in in our
880
:early lessons were with elite eSports
teams and, and that's one avenue.
881
:So cognitive load and how to manage
cognitive load and things like that.
882
:But the reality is.
883
:If you just say, all right, that's
the battle I've signed up for.
884
:I'm in it.
885
:And I've had to do it a
few times in my career.
886
:So it's sort of, , I'm kind of used to it.
887
:I dunno if I've got any better at it, but
then you flip it and you go, oh my God.
888
:And I, this is how we positioned
it here for the, the US government.
889
:I said, look, I asked to run up
to Virginia Beach or down to Bragg
890
:or any, you know, San Antonio and
all the different communities.
891
:There's a whole legacy of how they've been
doing business and how they've trained and
892
:how they've looked at human performance.
893
:And they were early adopters and
they've done a good job with it.
894
:But you've Got about a thousand
experts you've gotta overcome.
895
:And I think, as I look at it, and I love
what I call emerging communities in human
896
:performance, so underserved communities
in human performance, because I said
897
:to them, look, we're just gonna stand
on the shoulders of everybody else.
898
:So you've got Air Force Flight
pilot training sitting there.
899
:You've got OC special operations on top
of that, you've got the the Navy group.
900
:You've got the Army.
901
:So here comes cyber.
902
:We're sitting at the top.
903
:We're not gonna reinvent any of that.
904
:We'll pick up something heavy,
get strong, run, get fit.
905
:Now we have the opportunity
to accelerate beyond.
906
:So I said, I think this community,
if we get it right, will
907
:emerge as the leaders in human
performance across the entire DOD.
908
:And you can imagine how that sat.
909
:I was like, and here's
the other reason why,
910
:I'd say your highest, sort of
branded special units are gonna
911
:look to this community to how to
optimize the cognitive capacities.
912
:'Cause you are gonna spend more money and
time and energy just focusing on that.
913
:Like it's exactly the same as
if you were a marathon runner.
914
:We'd have all those energy and resources
focused on your fitness and your
915
:training and your technical skills.
916
:So now I think the opportunity with
the cognitive warriors to develop a
917
:whole new command based performance
ecosystem that is focused purely on
918
:the brain and mind, to double down
research and efforts in that space.
919
:And, you know, imagine if I could in,
not to distant future, enhance intuition
920
:immeasurably, enhance creativity, enhance
courage, enhance cognitive function.
921
:Every program in the
world's gonna want that.
922
:Yeah.
923
:So I think we actually, I see
that future as more, I'm more of
924
:a glass half full kind of person.
925
:So to that extent, I think that
future space is going to be, the
926
:future of human optimization is
there'll be enough resources available
927
:with enough brilliant people.
928
:And, you know, and with the
emergence of AI and that, and
929
:then the potential overlay of the
quantum platforms on top of that.
930
:The human brain being the most complex
entity in the universe and operating at
931
:some finite, at some subatomic level,
in a quantum model is what they assume.
932
:The technology's there, the desires
there, and the money's there.
933
:I think we can start to crack the
code of the mind, if you like.
934
:And I, so I think human optimization in
the, in the cognitive warrior space is
935
:gonna be at the forefront of everything.
936
:And of course, then think
about the applications.
937
:We're already doing programs
with high performing surgeons.
938
:There's already people in the sort
of high stakes decision making, stock
939
:traders, air traffic controllers, you
know, every, every high performer,
940
:even in the older sense making.
941
:Decisions in very tough and
challenging environments.
942
:Imagine if you could make that decision
with a little creative flare, with
943
:a little compassion, a little more.
944
:You really are starting to win that human
side of that human machine conversation.
945
:So that's the positive side of it.
946
:Well, and then I think to the
point, whatever I mention, look,
947
:the lessons we learned from this
community will be in the hands of
948
:every school kid in front of a screen.
949
:Think about that opportunity.
950
:I hate to say it, but you will spend
money on these high performing operational
951
:groups who are, you know, essentially
knowledge workers making big decisions
952
:or consequence at critical time periods
in, in our, in our sort of evolution.
953
:So yeah, that's, that's the positive side.
954
:One of them, I guess.
955
:Harry: I love it, mate.
956
:That's, that's a good to hear
the mind, making its, delayed
957
:arrival into psychology.
958
:I, I'm a bit cynical about it because
I feel like sometimes you, I went
959
:through my psychology degree, albeit
late, but not, not that long ago.
960
:And I was always frustrated.
961
:We never, never even touched the mind,
never touched consciousness, subconscious.
962
:We never really got, it was as
if Freud had been rubbed out.
963
:And I'm not saying that he's a be all,
end all, but, with the operators, we talk
964
:about theory of mind, just one example.
965
:And I can't believe that that's
not ubiquitously talked about or,
966
:or a lens or, or in the language.
967
:That concept of thinking about
how other people are thinking.
968
:And, and when you think about
that, you could get yourself
969
:into a circular, vortex there.
970
:But, is, is critical information and,
it seems kind of remiss that we've never
971
:really broached that with operators.
972
:So I love to hear that.
973
:And I think that's with me when you
are speaking there about that human
974
:tech, , interface and, and teaming,
it really does bring those fundamental
975
:parts of experience to the fore for me.
976
:Good luck with the rational ignorance.
977
:What do they say?
978
:Science changes one death at a time
uh, and in the military and the
979
:government, it changes either one
posting or one government at a time.
980
:So, keep up the good fight, mate.
981
:Andy: Well, thank You mate.
982
:Well, you know, Jurgen Heitmann,
he is part of your community on
983
:the, on the Navy side over here.
984
:Harry: Great man.
985
:Yeah.
986
:Andy: And see that rational,
he uses that all the time.
987
:And now I know working with the
government, he, he just, he's, you gotta
988
:overcome that rational ignorance, he said.
989
:But I think it's an exciting time,
as you said, and I think to the.
990
:So the challenge, the human brain
being so complex, the tools are
991
:maybe emerging to start to really
add some greater understanding.
992
:And I think as you said, all these
silos are different disciplines of
993
:cognitive therapy, you know, psychology,
I think they're, they've just had
994
:to figure out ways of working in
the absence of a real fundamental we
995
:and knowledge of how it all works.
996
:And I think the mind is the last, I think
we're starting to get into a space where
997
:they're starting to think about how that
can actually be tracked and understood.
998
:That's still a ways off.
999
:I think if we're a 10 out of a hundred
on human performance, we're probably
:
00:49:31,034 --> 00:49:32,444
a one out of a hundred on the brain.
:
00:49:32,494 --> 00:49:32,854
Harry: No.
:
00:49:32,884 --> 00:49:36,424
Well, I, I guess my starting point,
'cause, uh, as a, as I've just finished,
:
00:49:36,424 --> 00:49:39,094
I feel like I've only just finished
my apprenticeship as a psychologist.
:
00:49:39,394 --> 00:49:42,244
My starting point is not so much
at the evidence, although that's
:
00:49:42,244 --> 00:49:44,734
important, but what's evident
to the person in front of me.
:
00:49:44,734 --> 00:49:47,064
And I think that's very interesting to me.
:
00:49:47,424 --> 00:49:50,414
But I can't let you go
without, our usual questions.
:
00:49:50,444 --> 00:49:51,224
What are you reading?
:
00:49:51,224 --> 00:49:54,734
And, the, what can you do on Monday
question, I'm gonna posit as what
:
00:49:55,053 --> 00:49:59,262
can a human performance manager
or director or someone doing some
:
00:49:59,262 --> 00:50:00,822
program, what could they do on Monday?
:
00:50:00,872 --> 00:50:02,907
Andy: Well, right now I'd
say that I'm watching.
:
00:50:02,907 --> 00:50:06,357
I'm trying to read, but I'm, I'm with
my kids in the whole thing, but I'm,
:
00:50:06,357 --> 00:50:10,737
I'm really tuning into these centers
of excellence in human creativity.
:
00:50:10,737 --> 00:50:13,317
So I said Light & Magic
is a great documentary.
:
00:50:13,447 --> 00:50:16,827
Muscle Shoals, if you wanna get into
the music, Get Back, The Beatles.
:
00:50:17,347 --> 00:50:21,047
I'm really fascinated by, and
it's entertaining as well.
:
00:50:21,627 --> 00:50:27,657
Watching these studios have produced
multiple gold records, learning
:
00:50:27,662 --> 00:50:28,807
about the types of, artisanship.
:
00:50:29,687 --> 00:50:34,667
There's a whole series of little, YouTube
accounts of these craft Chinese craftsmen
:
00:50:34,667 --> 00:50:36,737
making traditional instruments or pots.
:
00:50:37,187 --> 00:50:40,067
And it's like a three month process
just to get the raw materials out
:
00:50:40,067 --> 00:50:43,097
of the ground and, and all out of
the trees and the sap and the bark.
:
00:50:43,097 --> 00:50:45,857
I'm fascinated with
artistry and craftsmanship.
:
00:50:46,832 --> 00:50:49,832
And just the vision of how that
would actually even came about.
:
00:50:49,832 --> 00:50:51,332
How did you actually even imagine this?
:
00:50:51,332 --> 00:50:52,442
So back to that Imagineering.
:
00:50:52,442 --> 00:50:55,449
So anything I can watch to
trigger an insight into the
:
00:50:55,449 --> 00:50:57,489
Imagineering side, the music I love.
:
00:50:57,989 --> 00:51:01,572
To you Monday morning sort of
piece, I would think about how do
:
00:51:01,572 --> 00:51:06,417
I bring creativity and character
back into my programs if it's not
:
00:51:06,417 --> 00:51:08,006
there or how do I actually play.
:
00:51:08,332 --> 00:51:11,002
let the, let the athletes
play, let the talent play.
:
00:51:11,032 --> 00:51:14,692
Let them encourage 'em to
use that part of the mind.
:
00:51:14,692 --> 00:51:19,942
So I, for the high performance directors,
think of the world more now, if we're
:
00:51:19,942 --> 00:51:24,262
gonna have more answers than we've ever
had potentially, but what are we gonna do?
:
00:51:24,262 --> 00:51:27,262
How are we gonna come up with
the questions to challenge,
:
00:51:28,042 --> 00:51:28,252
Harry: Love it.
:
00:51:28,252 --> 00:51:29,812
Andy: And get the most
outta those answers.
:
00:51:29,812 --> 00:51:31,372
So that's what I challenge
people to think about.
:
00:51:31,372 --> 00:51:33,532
How to build their own imagination
right now because that's a muscle,
:
00:51:33,532 --> 00:51:35,152
like again, I think you build it back.
:
00:51:35,152 --> 00:51:35,992
I think we've lost it.
:
00:51:35,992 --> 00:51:37,642
'cause the machine does everything for us.
:
00:51:38,422 --> 00:51:40,042
And you gotta actively work on that.
:
00:51:40,042 --> 00:51:41,842
So that's my 2 cents for what it's worth.
:
00:51:42,907 --> 00:51:46,177
Harry: Mate, it's worth a hell of a
lot, Andy, and so is your time mate.
:
00:51:46,177 --> 00:51:47,797
I've taken a big chunk of it today.
:
00:51:48,347 --> 00:51:51,467
Andy Walshee, thanks for coming on
the Teamcast mate, never fail to
:
00:51:51,467 --> 00:51:53,447
disappoint and really appreciate it.
:
00:51:53,447 --> 00:51:54,287
Andy: Well, thank you mate.
:
00:51:54,287 --> 00:51:55,757
We really appreciate the opportunity
:
00:51:55,807 --> 00:51:56,377
Harry: thank you.
:
00:51:58,344 --> 00:52:00,084
Speaker 6: Thank you again
for listening to our Teamcast.
:
00:52:00,654 --> 00:52:03,344
If you found value in this discussion,
the best way to support our work
:
00:52:03,344 --> 00:52:05,654
and ensure you don't miss future
episodes is to subscribe and
:
00:52:05,654 --> 00:52:06,864
leave us a quick rating or review.
:
00:52:06,864 --> 00:52:10,164
It'll help us reach more people who
need to hear these conversations.
:
00:52:10,504 --> 00:52:13,714
For more on Mission Critical Team
Institute, including all of our episodes
:
00:52:13,714 --> 00:52:16,004
and show notes, visit missioncti.com.
:
00:52:16,124 --> 00:52:17,664
You can also connect with us on LinkedIn.
:
00:52:18,504 --> 00:52:20,544
And if you're a mission-critical
team looking to learn more about
:
00:52:20,544 --> 00:52:23,714
our programs, reach out directly
to our Director of Operations, Ms.
:
00:52:23,714 --> 00:52:30,064
Janese Jackson, at janese@missioncti.com.
:
00:52:30,064 --> 00:52:30,944
That's J-A-N-E-S-E@missioncti.com.
:
00:52:31,324 --> 00:52:32,874
Until next time, thanks.