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From YouTube: W30 Softgov WG: Params RunOff, Praise data analysis
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A
Maybe
it's
if
you
take
it
too
seriously,
it
might
be
like
too
vulnerable
for
for
a
whole
group.
So
I'll
leave
that
up
to
you
guys
so
I'll
ask
the
questions
and
you
will
write
it
down
for
yourself
and,
and
that
would
be
really
quick
and
then,
when
we
finish
this,
if
you
want
to
share
one
of
the
answers
you
can,
if
not
we're
gonna
move
forward.
A
So
for
who
got
just
arrived,
we're
gonna
do
a
little
game.
It's
it's
jung's
personality
test
as
one
of
his
personality
tests
and
I
just
thought
that
we've
been
like
moving
a
lot
of
things
this
week
and
emotions,
and
it's
always
good
to
like
have
a
playful
look
at
the
south.
A
Our
grief
even
left
so
so
we're
gonna.
Do
okay,
katie
we're
gonna,
do
a
little
a
little
a
game
and
you
can.
A
Okay,
so
the
first
question
is
and
try
to
be
very,
like
don't
think
about
it
and
we're
gonna
move
kind
of
fast,
don't
think
about
it.
Just
write
it
down
so
think
of
an
animal
and
think
of
three
characteristics
of
this.
A
A
Hey
mihai,
you
just
got
here
we're
doing
a
little
game,
so
the
first
question
is
just
for
you
to
and
you
write
down
just
for
yourself
and
then
and
then
I
explained
like
after
so
you
just
think
of
an
animal
you
just
think
of
an
animal
and
don't
say
it
out
loud,
just
write
it
down.
Think
of
an
animal
and
three
characteristics
for
it.
F
A
G
A
A
A
And
the
last
one
we're
gonna
close
our
eyes
for
a
second.
A
A
A
Okay,
so
so
the
first
one,
the
animal
is,
how
do
you
like,
or
what
do
you
expect
from
people
around
you
so
the
qualities
that
you
wrote?
The
three
adjectives
is
what
you
look
for
in
people.
A
So
also,
this
three
three
characteristics
are
like
supposed
to
say
something
about
you
and
your
self-perception
and
then
the
third
one,
the
body
of
water
is
how
is
your
relationship
with
sexuality
and
water?
Has
the
and
water
has
this
this
quality
of
the
and
then
the
qualities
that
you
gave
to
the
water?
Are
this
self-experience
of
sexuality
and
then
the
last
one
is?
How
do
you
perceive
that
being
in
the
white
room
and
what
is
your
relationship
with
death
and
again?
A
This
is
just
like
you
can
take
as
seriously
or
as
playfully
as
you
want,
and
you
can
make
something
or
you
can
be
nothing,
and
I
just
want
to
have
a
quick
round
of
like
30
seconds
each
to
just
like,
say
how
we
landed
or
or
to
just
say,
hi,
and
how
are
you
doing.
H
I
It's
okay,
I
just
say
it
it's
the
game,
I
put
it
on
a
turtle
and
then
it's
slow,
cute
and
defensive.
Then
blue
peace
shine
and
cold,
and
then
ocean,
exciting
scary,
an
adventure
and
then
on
the
last
one.
I
only
had
two
like
calm
and
conservative.
It's
super
weird,
but
yeah.
It
is
what
it
is
and
I'll
pass
it
to
mihai.
C
J
Thanks
mikhail,
this
was
interesting.
I
I
picked
the
dog
which
I
find
loyal,
adventurous
and
happy
for
lack
of
a
better
word.
I
don't
know
why,
like
maybe
it's
like
my
mood
today,
but
I
picked
rev,
even
though
it's
not
like
my
favorite
color
and
I
said
alive,
passionate
and
dangerous.
J
Oh
god,
I
like
I
for
water,
like
I,
I
visualized
a
river
which
is
constantly
moving,
carries
life
and
ends
up
being
part
of
a
bigger
hole,
so
yeah
that
kind
of
blew
my
mind
and
yeah
from
in
in
this
white
empty
room.
J
I
find
myself
peaceful,
lonely
space
and
pretty
much
I
I
I
sense
it
like
as
a
as
a
purgatory
like
as
somewhere,
where
you're
supposed
to
probably
just
like
think
of
the
past
and
build
from
from
from
there
from
your
own,
like
introspective
in
the
past,
I'll
pass
it
to
nate.
F
F
My
color
was
green,
natural,
bold
and
living
the
body
of
water
was
the
pacific
ocean,
and
I
said
it
was
cold,
dangerous
and
vast,
and
then
the
white,
the
alone
in
the
white
room.
I
was,
I
said,
peace,
terror
and
home.
So
yeah.
You
know
I
will
pass
it
to
jess.
E
E
I
think
that's
pretty
in
alignment,
sunflower,
yellow
or
like
the
sunset,
so
warm
bright
and
brings
you
into
the
present
moment
or
has
this
kind
of
like
nostalgia
to
it
and
then
the
water
I
kind
of
first
thought
of
himalayas
and
then
a
jungle
waterfall
and
I
thought
of
source
and
kind
of
like
cleansing
or
spiritual,
fresh
and
unending
flow,
and
then
the
white
room
said
present
clear
and
still
similar
to
sandy
as
well.
So
I.
D
E
E
To
death
and
don't
fear
it
and
with
that
I
will
pass
it
to
mr
craig,
you
don't
think.
Well,
oh
you
didn't
you
weren't
able
to
participate.
E
K
K
Just
always
there
everywhere.
You
are
there's
ants
and
they're
busy
and
they're
doing
things
and
they're
really
strong,
and
then
how
do
I
perceive
or
think
I'm
perceived?
Cobalt
blue
is
the
color
I
chose
and
it's
bold
bright
and
playful
and
then
my
relationship
with
sexuality.
I
chose
the
ocean
and
it's
vast
rejuvenating
and
unpredictable,
so
I
really
got
a
kick
out
of
that
too.
K
The
white
room
is
death
right,
but
I
felt
really
nice
in
that
room,
so
it
was
serene
appreciation
and
in
the
moment
in
the
moment,
maybe
he's
not
related
to
death,
but
it
felt
good
to
be
there.
I
want
to
go
back
and
I'll
pass
to.
Is
there
anyone?
K
L
One
thanks
yeah,
the
animal
that
I
selected
was
the
octopus
and
I
said
that
it's
strong,
sensitive
and
wise.
L
The
color
I
said
black
and
it's
like
serious
elegant
and
it's
everywhere,
the
water
I
chose
the
caribbean
sea
and
it's
salty,
powerful
and
navigable
and
the
white
room.
I
I
felt
productive.
I
felt
like
I
wasn't
calm,
but
on
the
same
time
I
was
like
motivated.
I
felt
that
way.
So
those
were
my
answers.
A
Oh
nice,
that
was
fun
thanks,
everyone,
okay,
so
to
the
agenda,
and
just
something
I
wanted
to
say
also
related
to
this.
A
Is
that
like
there's
so
many,
I
feel
like
we're
very
intensely
related
to
this
project
and
and
relationships
are
built
and,
and
there
is
so
much
more
than
like,
like
part
like
it's
almost
like,
we
hold
a
freckle
off
like
everything
we
are
here
and
and
that
if
there
is
a
room
and
desire
and
curiosity
for
knowing
more
of
each
other,
for
like
opening
spaces
of
conversation
and
off
like
being
yourself
and
feeling
like
you're,
welcome
to
be
yourself,
I
think
yeah,
it's
it's
a
great
space
for
us
to
like
also
be
able
to
look
at
like
who
we
are
like.
M
I'll
make
a
abbreviated
submission
based
on
what
I've
heard
orange
raven
soaring
over
an
ephemeral
river,
and
I
don't
know
that
I
went
to
the
white
room
and
I'm
not
even
sure
what
it
is
so
I'll
just
stop
there.
A
Nice
thanks
for
participating.
Well,
if
you
want
to
apply
that
to
somebody,
because
once
you
do
it,
you
can't
do
it
again.
That's
why
I
didn't
do
it
this
time,
but
the
the
animal
is
how
you
perceive
people
around
you.
The
color
is
how
you
perceive
yourself:
the
water
is
sexuality
and
the
white
room
is
relationship
to
death.
A
So
cool
so
to
the
agenda.
We
do
have
a
lot
of
topics
and
we
have
the
params
runoff
that
griffin
and
suga
are
working
on
in
the
parameters
room.
Maybe
I'll
go
there
for
a
and
pick
them
up
and
I'll
come.
L
A
Cool,
so
they
are
coming
and
they're
here
so
yeah
griff.
Do
you
want
to
take
it.
G
Sure
so
we
started
trying
to
standardize,
and
you
know
act
like
this
is
a
real
election,
where
you
know:
try
not
to
favor
one
proposal
or
another
and
try
to
really
standardize
the
text
throughout
the
proposals,
the
best
that
we
can,
to
whatever
extent
that
we
can
given
the
time
constraints.
So
we
started,
we
started
doing
that
and
I
put
the
links
for
what
we
have
so
far
in
the
in
in
the
soft
go
channel,
and
I
would
love
for
you
guys
to
con.
Consider
reviewing
it.
G
I
don't
know
if
we
want
to
have
a
hack
session
or
or
have
put
thoughts.
I
know
olivia
has
a
bunch
of
pictures,
for
instance,
to
add,
and
also
olivia
I
was
did
you
happen
to
delete
the
minting
rate
section.
G
G
It
had
the
text
somewhere,
but
it
may
not
have
had
the
header
either
way
so
we're
basically
just
we've
been
hacking
on
this
all
morning
and
of
course,
the
days
before,
but
I
feel
like
it
would
we'd
love
to
hear
your
guys
review,
especially
of
the
first
two,
comparing
them
to
each
other
and
seeing,
if,
like
you
know,
one
feels
different
than
the
other
or,
if
there's
anything,
that
we're
missing
that
you
guys
could
bring
about
or
if
we
have
something
wrong.
G
You
know
like
there's
a
copy
paste
error
somewhere
or
something
it's
it's
ready
for
community
review.
Basically,
is
there
anything
else
you
wanted
me
to
talk
about
livia,
explicitly.
A
No,
I
think,
just
that
we
are
yeah,
we're
gonna,
open
the
runoff
today
and
have
this
whole
week
until
next
tuesday
to
vote,
because
thursday
is
a
good
like
promotion
moment
where
more
people
have
the
eyes
on
it.
So
we
use
thursday
for
that
and
people
still
after
they
have
a
few
days
on
the
weekend.
A
And
then
we
close
the
the
runoff
on
tuesday
and
also
we'll
have
time
to
look
into
like
we'll,
be
looking
in
the
praise,
data
and
stuff
during
this
week
that
it's
also
related
with
the
params
and
that
are
being
chosen
now
for
the
hatch
so
yeah
just
just.
E
G
Chewie,
do
you
have
any
thoughts
on
how
we're
going
to?
I
assume
twitter,
of
course,.
J
Yes,
we're
doing
twitter.
Also
we're
gonna,
be
craig,
sent
a
a
test
for
the
for
for
for
the
email
list.
We
just
want
to
involve
us-
probably
some
some
design
in
it,
so
I
would
say
that
yeah,
the
twitter
medium
article
in
in
and
mailing
list
yeah
and
well
yeah.
On
the
on
the
other
side,
we
also
have
like
the
team,
something
more
like
separate
for
like
openly
like
for
people.
I
think
those
are
the
three
main
platforms.
G
I'm
definitely
going
to
be
dming
people
that
worked
pretty
well
for
the
mvp,
just
dming
people
who
have
voting
power.
There's
not
that
many.
You
know
it's
probably
like
40
to
50
people,
really
the
large
c
stack
holdings
or
a
large
impact
large
impact
holding
our
holdings
that
really
should
get
in
there
and
vote.
And
of
course
the
long
tail
is
important
as
well.
G
J
A
And
yeah
also
the
the
structure
like
is
the
first
look
you
have
at
it.
Is
it
easy
to
understand,
because
we
try
to
break
down
between
hatch
strategy
and
graphs
and
then
the
dao
strategy
and
graphs
and
have
their
more
they
more
integrated
and
the
graphs
more
in
context.
D
D
Well,
I
put
back
in
the
ending
race,
but
I
just
you
know
I
could
move
on
it.
A
Well
so
yeah,
maybe
just
everyone
can
take
like
two
minutes
to
take
a
look
at
it
and
if
you
have
any
feedback
that
we
can
work
on
right
now,
then.
A
G
G
G
D
K
I
spent
so
much
time
on
it
already.
I
am
going
to
defer
to
the
community
for
what
what
can
be
better
I'm
trying
to
catch
up
on
some
stuff.
I
wasn't
able
to
get
to
this
week
so
I'll,
pass
back
to
or
I'll
just
pass
I'll
pass
to.
Chewie.
J
Yeah
I
mean
I
I
like
the
the
order
of
it.
I
guess
I.
I
also
have
not
a
lot
to
contribute
with
at
this
point,
but
I
do
think
that
it
is
presented
in
a
very
clear
way.
So
yeah
I
don't.
I
don't
think
people
will
have
any
problems
using
using
it
as
supporting
material
I'll
pass
it
to
something.
H
M
H
That
it's
more,
that
the
target
goal
or
the
maximum
goal
is
more
reasonable.
The
amount
of
of
each
die
for
hours.
G
H
H
L
Yes,
I
also
think
it's
well
presented
and
I,
like
the
short
descriptions
that
I
got
to
read,
I
think
yeah.
I
think
that
they
are
fair
and
precise
to
the
differences
and
like
ideas
behind
each
proposal.
F
Yeah
I,
like
the
format,
a
lot.
I
think
it's
more
digestible
than
than
the
original
format
that
we
had
the
dow
strategy
separated
from
the
hash
process.
All
together
is
really
nice
just
to
compare
those
I
you
know
because
it
is,
you
know
we
do
standardize.
F
It
it'd
be
interesting
to
see
if
we
could
have
people
have
public
commenting
on
on
these,
and
I
know
that
we
may
put
that
in
as
part
of
the
issue,
so
that's
available
for
people
to
see
the
differences,
but
otherwise
I
think
that
yeah,
I
think
it
looks
great
and
I
think
the
format
is
nice.
F
I
will
yeah
pass
this
up
here
or.
I
Thanks
nate
yeah
I
I
actually
had
the
chance
to
read
two
of
them
and
I
think
they
are
awesome.
Like
really
like.
I,
like,
I
really
write
that
one
and
all
the
ideas
I
write
it
in
there
like
they
were
very
short
and
I
feel
like
they
are
represented
and
and
it's
awesome
it
looks
really
nice
and
the
format
is.
I
mean
it's
very,
very
easy
to
understand
and
yeah.
Thank
you
guys
praise
both
of
you
I'll
pass
it
to
jess.
E
I'm
eating
and
I
haven't
been
deeply
involved
in
the
process,
but
I
will
say,
I've
just
been
skimming
and
definitely
I
feel
like
every
time.
I
look
at
these
like
the
dashboard
and
this
literature
as
well.
It's
I
feel,
like
the
communication,
is
getting
much
more
clear
and
I
think
the
visuals
are
a
good
addition
as
well
so
yeah.
I
just
I've,
seen
the
iterative
process
and
it's.
E
A
I
think
just
mihawk
hasn't
gone
mihai.
C
Yep
sure
so
I
like
how
what
reps
are
combined
with
the
narrative,
I
think
it
points
out
really
well
data.
C
What
I
think
would
be
useful
just
at
the
end,
is
to
call
this
three
side-by-side
comparison.
I
think
it
was
really
helpful
and
great
for
showing
that
google
spreadsheet
after
you've
read
all
of
them
to
see
them
side
by
side
and
have
a
more
high-level
view
of
them.
Yeah.
G
Yeah,
I
think
once
we
post
these,
we,
the
next
goal,
is
to
create
a
voter
pamphlet,
blog
of
some
sort,
where
it's
really
comparing
all
of
them
and
just
looking
at
the
stats
and
looking
at
different
things
in
a
relatively
objective
way.
So
that's
the
next
step.
A
Yay
cool
so
ready
to
go
and-
and
we
can
yeah
kick
off
and
also
get
into
this.
Let
me
share
my
screen:
get
maybe
make
a
a
tweeter
about
it
and
we
can
all
coordinate
griff
and
chewie
and
katie
and
also
nate
wrote
this.
A
It
was
supposed
to
be
a
forum
post,
but
I
feel
like
it's
almost
like
a
blog
post.
It's
amazing.
It's
really
really
detailed
of
the
process
that
we
took
to
get
where
we
are.
I
didn't
get
to
finish
like
the
very
end
of
it,
but
yeah
I
went
through
most
of
it
and
I
saw
you
incorporated
the
comments
already
and
I
feel
like
we.
A
F
No,
I
you
know
I've
made
some
changes
to
it.
I
had
actually
already
posted
it
because
I
thought
it
was
good
to
go,
but
I
did
make
some
edits
after
I
noticed
some
changes
that
needed
to
be
made
within
it.
So
not
everything
in
here
is
accurate
that
you
see
in
the
dock,
but
it
is
on
the
form
as
well.
F
A
Yeah
for
sure
it
was
just
that
he
asked
for
if
we
could
give
it
a
look-
and
I
almost
finished,
but
if
you
want
to
post
as
it
is,
I
I
think
it's
great.
G
K
A
I
was
impressed,
it
was
so
quick
and
and
so
much
information
in
a
very
easy
way
to
read.
So
the
next
point
is
appraised
data
analysis.
A
A
What
are
things
that,
because
us
that
are
so
involved
in
this
process,
can
especially
like
people
that
have
been
quantifying
praise
as
well
like
what
are
things
that
we
could
look
at,
so
a
few
that
I
listed
here
would
be
the
possibility
to
restore
100
of
impact
hours
for
a
paid
contributors
like
how
would
that
look
in
the
in
the
data
if
we
we
integrate
that
change
through
a
voting
session,
of
course,
but
like
having
that
possibility?
How?
How
would
that
change
things?
A
A
If
there
is
a
lot
of
double
praises
that
were
equally
quantified-
and
this
is
something
we
were
doing
in
the
beginning
of
like
oh
whenever
you
see
a
double
praise
like
put
a
red
line
there
to
not
quantify
again,
but
I
know
how
that
is
very
easy
to
sleep
through
when
we
are
like
reading
so
many
phrases
so
yeah
also
just
like
looking
into
this
and
the
data
would
be
cool
and
see
how
that,
like
also
changes,
the
chart
and
impact
the
things
so
so
I'll
ask
jess
to
update
us,
and
then
we
can
give
a
quick
round
on
if
you
guys
think
there
are
any
other
points
that
we
could
bring
to
the
analysis.
E
Sure,
thanks
livy,
so
yeah
if
you
haven't,
had
a
chance.
Yet
I've
updated
the
forum
post
with
the
recording
from
sunday's
meeting,
which
had
really
nice
attendance
and
had
a
little
a
lot
of
really
great
discussion
and
zargham
dropped
by
and
sean
was
there
as
well
and
santi.
I
guess
a
lot
of
people
here
were
there,
but
if
you
didn't
catch
it,
it's
a
really
interesting
discussion
and
I
updated
as
much
as
possible
the
documents
and
the
notes.
E
I
guess
what
I
need
to
do
next
is
get
with
ygg,
because
he
has
the
list
of
the
kind
of
parameters
that
the
group
is
going
to
be
scanning
for,
so
that
everybody
can
see
that
I'm
going
to
pull
that
out
of
all
the
documentation
and
put
it
on
the
forum
very
clearly
and
then
whatever
comes
out
of
this
session,
we
could
also
weigh
against
and
consider,
but
there
was
pretty
good
consensus
for
like
the
major
big
stuff
that
we
can
look
at,
because
what
we
can't
do
is
get
you
know
we're
trying
to.
E
I
guess
kind
of
80
20
this
and
the
resources
and
bandwidth
of
some
of
the
data
scientists
is
pretty
low,
so
we're
trying
to
just
pick
like
the
top
four
or
five
things
that
we
want
to
scan
for
in
the
data.
So
it
would
be
great
to
hear
if
there's
anything
missed
and
I'm
going
to
try
to
reflect
that
on
the
forum.
E
Meanwhile,
the
the
main
note
is
that
I
talked
with
angela
and
she
called
this
an
admirable
action
and
says
it
gives
her
great
confidence
and
respect
for
the
community
that
people
are
willing
to
question
and
and
look
and
analyze
the
system.
And
if
that
is
serving
the
needs
of
the
community,
she
says
she
will
fully
support
whatever
is
needed
for
the
process
and
is
helping
me
to
engage
some
of
the
top
data
scientists
from
te.
E
There
will
be
three
to
five
of
them
with
a
great
variety
of
experience
that
can
also
kind
of
teach
each
other.
So
it's
a
big
learning
and
educational
process
all
around
in
a
lot
of
ways:
fractally,
so
we're
planning
a
sketch
a
session
depending
on
their
availability.
E
You
were
hoping
for
tomorrow,
but
I
don't
know
if
that's
going
to
happen,
so
I
think
it's
going
to
end
up
being
next
tuesday.
This
is
going
to
be
a
very
focused
work
session,
so
there
won't
be
any
political
discussion,
it's
just
kind
of
how
to
divvy
up
the
work,
the
modeling
work
and
the
data
work
for
these
people
that
have
pretty
low
bandwidth.
So
that's
why
we
thought
if
we
get
a
few,
we
can
break
up
that
work,
and
so
that
will
be
next
week.
E
I'm
thinking
which
I'll
be
advertising
on
twitter
and
it
will
be
like
a
very
focused
works,
live
hacking
session
kind
of
like
with
another
research
group.
We
did
so
yeah
and
that
will
be
recorded
and
I'm
thinking
from
talking
with
angela
that
in
two
hack
sessions
we
should
be
able
to
have
something
to
present.
E
I
think
within
let's
say
week
after
next
as
like
a
target,
but
hopefully
sooner
that
we
would
have
some
some
good
analysis
to
start
to
share
and
we're
going
to
be
hosting
all
the
discussions
and
all
the
data
discussions
in
the
tec
labs
channel.
So
if
you
want
to
kind
of
keep
up
to
date,
it
will
be
in
there
were
there
any
other
questions
about
moving
forward
in
that
direction
and
also
again,
this
is
like
an
analysis
and
then
it's
totally
up
to
the
community.
E
If
and
what
action
that
people
want
to
take.
But
hopefully
we
can
put
together
a
small
presentation
and
the
data
scientists
can
present
to
the
community
and
share
their
findings
and
pull
out
like
the
high
level
findings
and
then
bring
it
into
soft
gov
for
further
discussion.
If
everybody
feels
good
about
that.
A
Yeah
we
have
five
minutes
left
so
just
to
we're
going
to
do
a
last
quick
round
and
just
a
quick
update
on
sourcegrad
is
that
this
week,
we'll
be
able
to
do
most
likely
the
the
first
distribution
we
just
need,
probably
griff,
either
you
or
craig
to
help
us
with
the
minting
and
we're
going
to
write
a
blog
post
about
this,
but
just
to
update
the
the
the
choice
of
the
10
impact
hour
and
and
maybe
we
can
schedule
a
session
to
do
that.
G
A
A
I
just
want
you
a
a
reminder
that
all
that
is
all
this
discussion
with
praise
is
nothing
personal
with
no
one
like
all.
The
work
that
has
been
put
in
this
community
is
really
really
valued,
and
I
think
we
all
feel
the
gratefulness
for
everyone
and
for
the
the
impact
of
people's
contributions.
A
So
if
there
is
anything
that
anyone
is
feeling
around
this,
I
know
it's
a
sensitive
topic
because
it
does
touch
on
like
oh,
is,
is
my:
are
my
contributions
being
questioned,
and
I
just
want
to
say
that
it's
no
one's
contributions
being
questioned.
It's
just
that
we
finally
have
data
to
analyze
this
process.
That
was
never
analyzed
before
so
from
this
data
points,
we're
just
trying
to
understand
how
the
system
works,
and
there
are
so
many
communities
that
are
super
interested
in
praise.
So
it's
also.
A
I
think
it's
also
a
very
interesting
moment
that
there
is
so
much
attention
in
this
process
and
it
just
proves
how
much
value
it
was
built
up
until
now
for
for
us
to
have
so
much
attention
on
this.
So
I
know
we
just
have
two
minutes
left,
but
let's
do
like
a
20
seconds
like
the
quickest
as
possible,
but
also
a
thoughtful
response
on.
A
Do
you
think
there
are
any
other
data
points
that
we
can
bring
up
to
this
analysis
session
next
week,
I'll
pass
to
temp.
K
I
can't
do
this
in
20
seconds.
I
want
to
say
jessica.
That's
such
an
amazing
update.
Thank
you
so
much
and
god
we
couldn't
have
known
what
the
results
would
be,
but
what
an
amazing
opportunity
we
have,
that
we
have
such
a
rich
data
set
now
and
that
the
token
engineering
academy
and
balancer
team
are
wanting
to
be
the
data
scientists
to
try
to
help
us
make
sense
of
it.
So
I
just
want
to
say
that's
amazing.
I
feel
like
I'm
going
gonna
take
up
all
the
time
and
I
shouldn't
so.
A
Maybe
if
anyone
has
five
minutes
more
to
stay
and
if
people
need
to
leave
feel
welcome
to
leave
and
and
maybe
you
can
express
whether
you're
thinking
then.
K
K
Sure,
or
maybe
I'll
give
anyone
who
needs
to
speak
before
the
top
of
the
hour
the
opportunity
if
they
have
to
jump,
maybe
five,
four
three,
two
one.
You
know.
I
think
that
I
think
that
what
we
have
is
a
really
interesting
situation.
We
have
results
and
we
have
results
from
an
open
participatory
process
that
we
all
want
to
respect,
and
we
have
a
situation
where
we
have
compensation
and
governance
intermingled
and
undecouplable.
K
So
we,
the
goal,
is
that
everyone
should
be
really
fairly
compensated
and
the
goal
is
that
we
want
to
have
the
right
governance
balance
in
the
tec
and
how
we
can
reach
this,
I
think,
is
sort
of
something
that
we
need
to
look
at
god.
I
just
I
feel,
like
all
my
thoughts
are
and
clear.
K
Suddenly,
I
think
that
our
model
is
imperfect
and
I
think
all
models
are
imperfect
and
I
go
back
to
many
of
the
things
that
I
heard
sargon
say
on
on
some
of
the
input
that
he's
given
in
this
specific
area,
which
is
we
need
to
be
in
the
habit
of
questioning
the
algorithm
and
that
it's
not
a
mistake
to
to
say
hey.
This
is
a
great
experiment
and
we
have
you
know
these
initial
goals
that
we
wanted,
and
you
know
when
we
didn't
have
the
data.
K
There
was
nothing
we
could
do
but
hope
you
know
we're
going
to
make
our
best
decisions
with
our
best
intentions,
and
I
feel
that
every
every
decision
that
was
made
regarding
the
praise
process
was
the
best
one
for
that
time.
In
that
context,
I
don't
think
we
could
say
a
mistake
was
made
anywhere,
but
I
think
that
now
that
we
have
the
full
data
set,
we
can
start
to
look
and
say:
did
this
meet
our
original
requirements
and
if
not
right,
what?
What
should
we
do
about
it?
K
K
Should
we
make
a
change
to
the
existing
impact,
our
distribution
before
the
hatch
or
not
like,
I
feel
pretty
strongly
that
should
probably
be
a
vote
and
then
how
do
we
change
the
model
can
probably
be
something
more
like
you
know,
a
group
of
you
know,
a
group
can
come
to
a
consensus
on
how
we
can
change
the
model
to
the
algorithm,
basically
to
account
for
any
disparities
to
the
to
our
stated
goal
that
we
may
have
surfaced
through
a
more
rigorous
data
analysis.
K
So
I
think
it's
I
mean.
I
just
think
it's
super
important
that
we
leave
there
just
some
space
to
and
some
open-mindedness
about.
Let's
see,
let's
see
what
the
results
are
from
the
data
analysis,
and
then
we
can
make
a
decision
about
what
should
be
done
next
without
sort
of
having.
K
K
K
We
are,
I
am
tamara
and
you're
lyria
and
there's
chewie
and
there's
craig
and
griff
and
santi,
but
if
we
can
create
personas
to
express
you
know,
this
is
a
persona,
and
these
are
the
things
that
they've
been
praised
for,
and
this
is
a
persona-
and
these
are
you
know
the
things
that
they've
been
praised,
for
this
is
how
many
the
contribution
we've
seen
this
person
make.
This
is
the
contribution
we've
seen
this
persona
make
like.
K
Is
this
the
things
that
we
want
to
to
perpetuate
in
the
the
period
between
the
hatch
and
the
commons
upgrade
where
we're
going
to
go
through
another
accrual
period
right?
So
we
have
the
the
short
term
like
what
do
we
do
right
now,
and
then
we
have
that
what
do
we
do
for
the
period
between
the
hatch
and
the
commons
dow,
with
the
hope
that
every
like
every
community
member
receives
and
now
or
later,
like
the
governance
that
we
want
them
to
have
in
the
community
based
on
their
contributions
and
yeah?
K
I
think
that's,
I
think,
that's
it.
You
know
I
like
you
know
this
is
an
experiment.
It's
got
to
be
like
this
is
again
not
me
saying
this.
This
is
what
I'm
saying
it's
like:
it's
an
experiment.
It's
a
it's
gotta,
be
okay
to
say
we
were
wrong
about
some
stuff
and
we
want
to
see
how
we
can
do
it
better
next
time,
but
it's
not.
This
is
not
casting
judgment
on
the
on
the
process
itself,
on
the
model
or
in
any
people
involved.
It's
just
now
that
we
have
data.
E
K
K
Not
you
know
not
one
person
or
just
words
like
attack
or
challenge,
I
think,
create
a
kind
of
fud
in
us
emotionally
and
we
react
to
those
words
or
take
away.
I
think
maybe
we
can
try
to
say,
let's
put
on
a
rational
analytical
mind
and
not
not
not
like
trying
to
use
neutral
language
when
we're
when
we're
discussing
this,
even
though
there
may
be
some
emotion
attached
to
it,.
A
Yeah,
thanks
tim,
I
I
do
think
this
point
is
very
like
non-political,
it's
just
under
and
I
I
don't
think
any
of
the
like
raw
like.
I
don't
think
the
data
should
be
changed.
A
I
I
just
think
it's
this
moment
of
analysis
and
that
it's
really
gonna
get
political
after,
but
it's
good
to
have
this.
This
points
of
analysis
happening
first.
So
if,
if
anyone
has
like
ideas
of
like
other
points
to
look
at
of
like
oh,
we
have
all
of
this
data
and
then
what
are
the
filters
we
want
to
use
to
look
at
it
also,
and
how
can
we
and
how
can
we
like
yeah,
like
like
this,
like
having
this
understanding
of
like?
L
I
am
also
one
that
favors
and
is
willing
to
facilitate
this
dialogue
and
also,
I
think,
it's
important
for
all
opinions
to
be
heard,
and
also
for
all
opinions
to
and
yet
to
take
place
in
the
discussion,
and
I
also
feel
that
what
we
had
was
great
because,
like
I
like,
I
have
been
part
of
it
like
I
have.
I
have
been
praised
in
impressed,
quantification
and-
and
I
think
it's
a
great
process,
so
I
think
that
maybe
improving
it
shouldn't
be
like
radically
changing
it.
L
It
should
be
like
few
small
tweaks
because,
like
it
would
it
would
like
if
changes
are
too
big,
it
would
like
stay
put
into
stake.
The
the
legitimacy
of
what
has
been
done
in
this
moment
and
would
also
have
like
an
external
like
breaking
point
or
or
like
a
punctual
breaking
point
in
history,
and
I
think
that,
as
this
has
been
a
very
evolutionary
process,
it
can
like
continue
having
evolutions
but
yeah.
L
I
think
that
I
also
trust
in
the
in
in
all
the
tes
in
in
the
community,
and
I
feel
like
somehow
yeah.
I
agree
that
that
there
is
a
bridge
between
yeah,
some
teas,
that
that
are
in
the
community,
but
maybe
are
not
in
so
many
calls.
But
I
feel
that
this
is
the
moment
where,
where,
where
like,
they
should
appear
and
and
if
they
are,
if
they,
if
they
have
a
voice-
and
we
are
all
like
listening
to
the
different
points.
L
The
idea
is
that
we
can
have
like
the
best
overall
feeling
before
launching
the
commons
and
and
the
economy
and
yeah.
I.
L
I
also
think
that
it's
very
important
to
always
try
to
have
this
in
in
the
safest
type
of
language
and
in
the
way
possible,
because,
like
that's
the
way
we
have
been
working
and-
and
I
think
we
shouldn't
change
what
what
we
have
like
now
for
for
for,
but
maybe
like
adding
a
a
little
bit
of
a
small
finishing
touch,
I
I
will
pass
to
to
to
grief.
G
I
actually
have
to
run
to.
I
have
to
run
to
another
call.
I
I
I
think
that
I
just
hope
that
we
take
lessons
from
history
on
the
like
taking
numbers
away
from
people.
If
we,
if
data
comes
out
that
we
need
to
change
something
I
I
you
know
there
are
very,
there
are
almost
no
demirage
currencies
and
every
demiroge
currency
that
ever
existed
in
crypto
just
went
away.
Basically,
but
there
are,
every
currency
is
inflationary.
G
So
I
and
considering
this
is
the
cultural
build.
I
think
we
need
to
at
least
win
control
the
scope
of
this
process
to
the
to
say
that
any
impact
hour
that
was
given
to
someone
that
they
felt
like
they
had.
We
can't
take
that
away
because
people
don't
like
that,
and
that
should
be
a
factor
in
our
in
our
decision
making
for
how
we
want
to
fix
things
so
yeah
inflation
over
over
removal
of
tokens,
but
I
also
have
to
run
to
another
call
so
I'll,
just
pass
it
to
chewie.
A
A
Oh
if
the
data
shows
that
we
need
to
do
something
if
this
doesn't
exist,
and
that's
why
I
think
this
dialogues
are
important
because
we're
gonna
have
to
vote
on
any
anything
that
will
happen
and
it's
just
important
to
have
inputs,
and
if
there
is
anything
of
like
looking
into
the
data
in
a
certain
way,
then
yeah.
Initially,
this
wasn't
supposed
to
be
like
a
political
discussion
but
end
up
being
because
I
think
there's
a
lot
of
feelings
involved.
It
was
just
like
how
can
we
objectively
look
at
this,
but.
G
Yeah-
and
that
was
kind
of
my
point-
I
think
it'd
be
a
lot
easier
to
objectively
look
at
it.
If
people
didn't
feel
threatened
like
they
were
going
to
have
something
taken
away,
but
instead
we
framed
it
as
no
actually
we're
going
to
give
to
the
people
who
didn't
have
enough,
and
that's
it's
just
a
very
important
framing
but
okay,
see
you
guys.
D
F
I'd
like
to
come
in
and
defend
the
praise
system
as
much
as
I
possibly
can
I
there
are
some
aspects
you
know
praise
reminds
me
of.
F
Of
of
you
know
how
regular
you
try
to
define
cryptocurrencies
in
general,
you
know
whether
it's
commodity,
whether
it's
security,
whether
it's
a
utility
token,
it's
it's
all
of
those
things
in
one,
but
it
depends
on
how
the
community
decides
to
use
that
that
tool,
and
so
there's
so
much
value
that
is
created
by
the
this
prey
system
that
cannot
be
captured
within
this
data,
and
I
think
that's
important
to
acknowledge.
F
I
mean
to
to
have
a
a
culture
based
on
on
positive
reinforcement.
Praise
is
something
that
you
cannot
recreate
in
a
lot
of
ways
and
if
you
want
to
say
that
the
impact
hour
system
in
relation
to
that
praise
is
something
that
needs
to
be
reformed,
that's
fine
and
it
should
be
objectively
reviewed.
I
have
no
problem
with
that.
I
do
think
that
if
you
start
basing
our
system,
whether
it's
you
want
to
you,
know
reward
contributors
or
or
give
out
governance
tokens.
F
Or
you
know
if
you
base
that
on
data
you're
going
to
end
up
with
a
very,
very
different
culture,
with
very
very
different
outcomes.
And
I
I
think
that
is
something
that
should
be
recognized,
and
I
just
want
to
put
that
out
there
in
the
world.
So
yeah
keep
praise.
K
K
I
think
a
lot
of
this
discussion
is
premature.
We
kind
of
have
to
see
what
you
know,
data
skills
data
analysis
can
do
and
see
what
results
there
are,
and
I
I
guess,
I'm
just
a
little
worried
that
there's.
It
seems
like
there's
a
lot
of
that.
There's
some
hesitation
to
want
to
look
at
like
to
want
to
have
the
data
sort
of
be
surfaced
so
that
we
can
look
at
it.
K
K
But
I
don't
think
that
doing
you
know
using
data
science
to
analyze
the
data
that
we
have
in
any
way
says
that
this
the
prey
system
has
failed
or
is
wrong
or
is
not
good
at
all.
I
don't.
I
just
feel
like
that's
a
false
correlation,
it's
a
great
system
and
we
should
keep
using
it.
We
should
also
make
sure
that
achieving
the
goals
that
we
hope
to
achieve
in
the
governance
of
the
tec.
H
H
Probably
it's
far
away
from
what
you
know
an
algorithmic
system
would
look
like
and
that's
that's
why
we're
seeing
skews
all
over
and
and
and
that's
the
point
I
mean
it's,
it's
a
complete
subjective
system
and
when
you
put
that
into
a
data
science
analytics
it's
gonna
crash,
always
you
don't
need
to
dive.
I
mean
you
just
see
it
from
the
very
first
moment,
but
that
doesn't
mean
it
can
be
improved
and
I
think
just
going
and
that's
why
I
shared
that
image
just
going
through
the
discussion,
just
analyzing
getting
the
feedback.
H
H
M
I
think
I
largely
agree
with
santi
and
I
would
just
encourage
people
to
contemplate
it
as
a
data
set,
and
you
can
tell
any
story
you
want
with
statistics.
M
It's
a
rich
data
set
sure
there's
a
lot
of
instances
that
can
be
analyzed
in
a
number
of
ways,
but
I
would
also
encourage
people
to
differentiate
between
a
data
set
and
a
synthetic
data
set
that
comes
out
of
modeling,
because
the
assumptions
in
cad
cad
world
are
so
broad.
M
That
there's
likely
range
of
opinions
on
whether
those
assumptions
are
valid.
So,
let's
see
what
the
data
analysis
looks
like
it's
hard
to
analyze,
subjective
data
sets
in
a
quantitative
manner.
Granted
these
people
are
gyms
brilliant.
I
love
them
all,
but
because
I'm
a
data
analyst
as
well
and
but
I
would
just
hope
that
articulate
nature
with
which
they
speak
about
the
data
set,
doesn't
outweigh
or
doesn't
overly
influence.
The
way
people
feel
about
the
prey
system
and
yeah
I'll
just
stop
there.
I
I
Of
course,
like
we
have
like,
and
do
it
and
improve
it
as
much
as
I
can
and
we
can,
but
the
only
like
on
a
trust-based
economy.
Just
raising
this
point
of
redistribution,
I
think
that's
that's
reckless
and
yeah.
That's
what
I
think
like
because
doing
data-
and
you
know
like
looking
into
the
future-
that's
awesome
and
I
really
don't
agree
either
when
taking
tokens
away
or
what
we
were
saying
about
the
limiting
tokens,
because
I
feel
this
is
not
correct,
because
we're
change
we're
breaking
the
social
contract.
A
Yeah,
I
agree
with
you
and
I
don't
think
there
is-
and
I
think
this
is
a
message
that
it's
getting
very
messed
up
with
the
with
this
whole
communication
that
I
don't
think
nobody
is
proposing
to
change
the
tokens
that
were
already
distributed,
and
I
feel
like
this
is
a
I
feel
like
this
is
maybe
was
a
misunderstanding
that
I
see
that
it's
kind
of
everywhere,
and
or
at
least
speaking
for
myself.
I
would
never
vote
on
that.
A
Maybe
we
have
like
the
expertise
on
what
are
the
points
that
might
have
affected
the
results
in
a
way
that
it
could
be
beneficial
for
all
if
this
was
looked
into
and
not
only
beneficial
in
a
sense
of
like
money
or
governance
or
reputation
or
none
of
that,
but
in
a
sense
of
like,
are
we
making
the
best
use
of
this
tool,
and
and
how
can
we
move
forward
with
using
this
tool
for
reflecting
the
what
is
actually
happening
like?
A
Is
there
value
that
we
have
that
we
have
been
failing
in
recognizing?
Is
there
like,
for
example,
this
it's
like
a
very
objective
thing
off
like
double
praise,
and
then
there
are
many
subjectivities
about
the
double
praise
right,
like
is.
A
Is
it
double
praise
if,
if
one
person
was
praised
by
multiple
people
in
the
same
day,
about
something
it's
a
double
praise,
if
one
person
was
praised
by
multiple
people
in
different
days,
like
I
think
if
it
was
different
days,
maybe
it
shouldn't
be
considered
double
praise,
but
if
it
was
something
that
like
oh,
I
wrote
something
and
I
posted
there
and
then
someone
some
someone
praises
me
for
that,
and
then
someone
else
didn't
see
that
I
was
already
praised
for
that
and
then
praises
me
again
and
how
does
that
weights
in
the
quantification?
A
So
things
like
this,
you
know
that
I
feel
like
that
are
not
personal
at
all.
Are
just
like
really
like
data
inputs
off
and
then
there's
another
question.
Should
this
person
be
received
more
praise
because
they
were
praised
so
so
many
times
like?
Maybe
there
is
an
extra
appreciation
from
the
community
for
that
thing,
that
was
praised
many
times,
and
should
we
decide
a
value
that
that
you
know
what
I
mean
like
there
are
things
that
I
think
we
can
look
very
objectively.
A
That
will
create
subjective
questions
and
then
we'll
have
a
look
at
the
subjective
questions
together
and
nothing.
Nothing
will
happen
without
a
voting
session
and
we
have
multiple
voting
mechanisms
in
place
for
for
things
like
this,
and
I
do
feel
like
I
feel
like
us
as
softgov
working
group,
like
all
of
you
that
are
here.
You've
been
collaborating
a
long
time
with
this
working
group,
and
I
think
it's
also
our
responsibility
to
be
thinking
about
the
subjective
systems,
because
soft
gov,
it's
like
all
of
these
things
that
are
like.
A
Oh,
how
do
we
go
about
it
and
so
yeah,
so
I
just
wanted
to
open
the
space
if
you
guys
want
to
go
in
this
document
anonymous.
K
M
Observation,
I
feel,
like
the
timing
of
this
whole
endeavor
is
unfortunate
for
us.
The
prey
system
has
been
in
in
practice
for
what
a
year
or
two
we've
been
using
it
for
seven
or
eight
months,
if
the
individuals
who
are
raising
the
concerns
about
the
unfairness
of
it
had
been
engaged
during
that
period.
K
K
Yeah,
I
think
it's
important.
Actually,
the
timing,
I
agree
is
really
you
know
we're
like
this
crunch
time
right
before
the
hatch
and
the
I
I
just
also
want
to
maybe
be
careful
saying
that
people
are
saying.
Praise
is
unfair.
I
don't
think
that's
the
message.
I
think
the
message
is
hey.
Are
these
the
results
we
wanted?
Can
we
can
we
have
a
moment
of
introspection
and
because
we're
in
crunch
time,
I
feel
especially,
I
also
felt
initially
a
lot
of
resistance
because
it
was
like
wait.
We
can't
do
this
because
we're
hatching.
K
How
can
we
do
this
now?
We
don't
have
time
to
do
this
now.
This
is
a
yes,
we
should
do
it,
but
when
does
it
fit
into?
You
know
a
schedule,
but
I
would
say
it's
worth
considering
that
praise
was
very
abstract
until
the
dashboards
made
it
very
concrete,
and
these
this
sort
of
like
questioning,
came
hand
in
hand
with
everyone
using
the
dashboard
and
then
there
being
some
you
know
really,
I
would
say
just
thoughtful.
K
Just
you
know
thoughtfulness
around.
Oh
is
this.
Is
this
what
what
was
it
originally
intended
and
maybe
is
it?
Is
there
a
lar?
Is
the
distribution
seem,
I
don't
know?
Does
the
distribution
seem
like
it's
what
we
wanted
to
have
happen
so
yeah
and
I'm
not
explaining
this
very
well,
but
I
think
that
we
can
say
without
having
a
quick
like
something
concrete
to
compare.
K
There
was
not
any
discussion.
I
certainly
didn't
think
about
it.
I
didn't
give
it
a
second
thought.
I
think
a
lot
of
people
in
our
community
never
thought
about
it.
Until
it's
sort
of
really
jeff's
post
made
us,
maybe
stop
and
say
hey.
Can
we
check
like
challenge
our
own
thinking,
you
know
and
see
how
you
know
how
these
results.
F
I
would
say
that
I
would
fully
support
separating
praise
from
any
type
of
contribution
system
at
all.
You
know
if,
if,
at
the
end
of
the
day,
the
data
shows
something
that
says
we
need
to
change
how
we
do
impact
hours
and
stuff,
then
I
would.
F
I
would
rather
separate
the
prey
system
completely
and
have
that
as
a
voluntary
system
that
this
culture
participates
within
rather
than
molds
mold
the
prey
system
to
some
type
of
reward
system
and
and
dictate
how
we
do
praise
in
this
this
community,
because
at
the
end
of
the
day
you
know
once
we
start
dictating
how
people
praise
and
what
they
praise
for
then
it
becomes
a
completely
useless
system
from
a
cultural
perspective.
In
my
opinion,.
K
M
I
think
I
would
fall
in
that
box
as
well.
K
It's
I
think
that
there's
different
issues
right.
It's
like
the
input
like
that.
That's
the
input.
How
do
we
get
the
input,
then?
How
do
we
get
the
quantification
and
then
this
you
know
in
the
habit
of
challenging
the
algorithm.
You
know
like.
Let's,
let's
do
some
like,
I
don't
know
like
right
now
we're
we're
eyeballing
to
see
like
hey.
Does
this
feel
right?
You
know
at
the
end
of
the
quantifications
like
does
this
feel
right?
Should
we
make
this
higher?
Should
we
make
this
lower?
K
But
then
that's
like
these
one
little
points
of
time
without
some
more
like
larger
holistic
view
yeah,
I
don't.
I
don't
know
that
I
like
there
are
any
answers
right
now
and
that's
why
I'm
actually
really
grateful
that
there
is
such
a
support,
such
support
from
the
token
engineering
community
who
we
are
building
the
token
engineering
commons
for
to
help.
K
Look
at
this
from
a
token
engine
from
an
engineering
perspective
right
like
from
using
data
science-
and
maybe
maybe
we
have
maybe
they'll-
have
some
insights
from
an
outside
fresh
view
that
we
haven't
yet
come
up
with
ourselves
and
maybe
not
maybe
we'll
look
at
the
results
and
be
like
matt.
This
is
you
know
we
don't
need
to
incorporate
any
and
we
don't
need
to
incorporate
any
change.
H
H
I
just
wanted
to
say
that
whatever
the
community
decides
to
me
is
law
and
that's
what
I
consider
the
most
valuable
thing
on
tc
I'll
see
you
I'll
keep
discussing
and
jumping
into
this
discussion,
which
is
it's
great.
A
H
A
I
think
we
should
wrap
up
as
well.
It's
been
30
minutes
in
and
if
there
is
any
comments,
yeah
just
write
in
the
in
the
agenda
in
the
forum
or
feel
free
to
reach
out
to
me.
I
think
it's
really
important
that
we
have
a
lot
of
dialogue
in
this.