Episode Transcript
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A restaurant's best dishes
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store online now at homedepot.com. Hey,
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everybody. Welcome back. This is Larry Wilmore.
1:50
You're listening to Black on the Air.
1:53
I'm back. And I'm back.
1:55
I'm back on the air. Black on the air. And
1:58
I'm back to Black on the Air. in the
2:00
air, been out on the road doing a
2:03
little show I was telling you guys about. And
2:05
man, I had so much fun. I have to
2:07
tell you guys, I saw so many of you
2:09
out there on the road and it was so
2:11
great seeing everybody. Like I said,
2:14
it was just a mini tour, just a few
2:16
cities, but every
2:18
place I went, man, people came out,
2:21
had some fun. We
2:23
had so much fun in the cities,
2:27
doing a little magic, which surprised some people
2:30
and we had some real funny, I
2:33
do jokes in the set, but the stuff that
2:35
happens live with the audience is always the most
2:38
fun stuff. So I just wanna really, really thank
2:40
everybody who came out to
2:42
the shows. So many special
2:44
people in so many different places.
2:47
Here in Hollywood, a lot of my friends came out
2:49
at the improv, had
2:53
a great time. We went up to Cobbs
2:55
in San Francisco. Man, I met so many
2:57
fans up there. And
2:59
let me just say, San Francisco is a fantastic place
3:01
for comedy, you guys. It really is. I had forgotten
3:03
how great a comedy town that is.
3:06
We were at Cobbs. My brother David came at
3:08
me and that was such
3:10
a fun audience. Really, really wild
3:12
show up there. And what a
3:14
great room Cobbs is too. So thanks to all
3:16
the people at Cobbs and at the Improv too.
3:18
Improv is just classic. That
3:21
new showroom, they've done so lot with the showroom
3:23
there, the Improv's really great. Then
3:25
we were off to City Winery in New
3:27
York. And by the way, really
3:30
special thanks to Morning Joe and the people
3:33
over there. It was a short, I was
3:35
on the show very short amount of time, but
3:38
it was so impactful. So many people came out to the
3:40
show after they saw my
3:43
spot on Morning Joe. So thanks Mika Brzezinski,
3:46
all the people over there hanging
3:48
out there for a few quick minutes.
3:50
It was funny because they said, so what is your show?
3:53
What are you doing? I'm like, well, I'm doing some magic.
3:55
They're like, magic. It was really funny.
3:58
Um. But, you
4:00
know, the magic that I do in the
4:02
show, it's really integrated into the theme and
4:08
the comedy of the show. And much of it, I don't
4:10
even know, some of it you can't even really say is
4:12
magic. It's really, it's kind of
4:14
some mind-bending thing. So I think
4:17
many people were pleasantly surprised.
4:21
New York, you know, a lot
4:23
of friends came out to there and saw a
4:25
lot of nice people, was fun. And
4:29
we played the Birchmere Theater in
4:32
Alexandria after that. Such
4:36
a cool like venue, kind of
4:38
an old school, people
4:41
would call it juke joint, like that kind of place where
4:44
you'd see like some real, some real
4:46
cool bands. I bet they have great bands that play
4:48
in that place. It's just set up. Most
4:50
of these places, by the way, are set up for live
4:52
music. So it's unusual to have comedy people in them. Although,
4:54
City Winery does a lot of comedy. But
4:57
the Birchmere, man, all the people there, thank
4:59
you so much, you guys, met
5:01
so many fans afterwards. Lot
5:04
of podcast fans came to that show. People listened
5:06
to the podcast. So hey, nice to see you
5:08
guys again. And
5:11
then we went off to Philly, which is
5:13
always fun. My
5:16
brother and I had a really good time just
5:18
hanging out in Philly for a little bit too.
5:22
And great staff there. And then we wound
5:24
up in Chicago, man. Chicago, let me tell
5:26
you something. It
5:29
was so much fun in Chicago. A lot of
5:31
my, you know, my family's from Chicago. My parents
5:33
are there, were born there, grew up there.
5:36
Many of my relatives are there. So all my cousins
5:38
came out and they were hilarious. But
5:43
that was one of the funnest shows because
5:46
some of the people from the audience were
5:48
just hilarious. They were so funny. There was
5:50
a guy named, what was
5:52
his name? Was it, oh, it was Ronnie. I
5:55
thought it was, well, I thought it
5:57
was Randy or something. And it was, I can't
5:59
remember. I got the name wrong. I just completely
6:01
got his name wrong. And I've called him by
6:04
the wrong name the whole time. It was pretty
6:06
funny. But
6:08
I just wanna thank everybody for coming out to
6:10
the show. It's definitely something I like to do
6:13
again. Maybe
6:15
this particular show, we've
6:17
had such a great response from it. My
6:21
people, my people, you know that expression.
6:24
We're already talking about trying to
6:26
do, I don't know, maybe do different things
6:28
with it. Who knows, it might evolve into
6:30
something. This always was intended as kind of an
6:32
experiment, anyway, to get out there and
6:35
try to see what it was. So
6:38
I did a lot of experimenting doing
6:40
it and a lot of stuff just
6:42
really, really clicked in terms of being
6:44
fun and talking about America, that
6:47
type of thing. But the biggest thing was getting out there
6:50
and just meeting you guys, meeting the fans, interacting,
6:54
just shooting the shit. We even had
6:56
drinks together, took pictures, things like that.
6:58
Just, you know, I really
7:00
hung out with people a long time. And we
7:02
just, sometimes we were just talking and having good
7:05
conversations. So thanks for making me feel at home,
7:07
everybody. I really, really, really wanna
7:09
thank everybody out there for that. So
7:11
I will say this, if
7:14
I did not make your city, which there's
7:17
a lot of cities, of course, I
7:19
have not come out to, please
7:21
keep mentioning it
7:24
on X or Instagram, Facebook, wherever
7:26
it is, we interact, just
7:29
tell me. And I'll try to
7:31
put together another one of these things. The
7:35
thing with me is sometimes it's hard for me
7:37
to travel. So it's good if I can string things together
7:40
like over a couple of weeks and hit as many cities
7:42
as I can, just because of my schedule, just
7:45
trying to fit everything in. So
7:48
if we can do this again, there's so many places
7:51
I'd like to go. And I heard people
7:53
from Toronto, yes, I would love to go to
7:55
Toronto. Thanks for asking about that. Some friends down
7:58
in Houston asked about that. But
34:00
that was during that big poker boom
34:02
that happened back then. The poker boom
34:04
that kind of began with
34:07
Chris Moneymaker in 2003 was kind of this... That's
34:10
right. Chris Moneymaker. That's right. He's
34:12
like his perfect name. I know.
34:15
And he's like just a boring... He's actually a
34:17
really nice guy. I met him once or twice.
34:19
This consultant guy who just hits it
34:21
rich and lives everybody's dream. And
34:24
that plus the availability of the internet, poker on
34:26
the internet really caused a boom. And that show,
34:28
World Poker Tour, I remember was big too. World
34:31
Poker Tour is still around. I mean, poker has had like
34:33
a little bit of a revival. The
34:36
pandemic, people had more time on
34:38
their hands and they were
34:40
lacking risk. They couldn't do very much. And
34:43
so poker really boomed in the pandemic and
34:45
is now... Like the online
34:47
games are complicated because there's long and short of it. There's
34:49
a fair amount of cheating. But
34:52
the live games are still
34:54
very popular. At least the tournaments are. So we're in
34:56
the shadow of the second boom is what you're saying?
34:58
We're in the shadow of it. Not as big as
35:00
the first boom, but the World Series of Poker got
35:02
a record number of
35:04
participants for two years in a row. But yeah, it
35:06
was just being mad at Congress
35:09
for banning my livelihood
35:11
that got me engaged in covering
35:13
politics. And one thing
35:16
that it seems to me
35:18
that the language that you're
35:20
using was different. But to
35:23
me, I think people treated
35:25
it the same, but you were actually speaking
35:28
a different language, it seems like, as an
35:30
example. It feels like
35:32
you were dealing... And
35:34
I may not use the right words here, but
35:37
you were dealing with like pure
35:39
probability and odds, right? Which says,
35:41
well, anything can happen. These are
35:43
just the odds. Yeah. Right.
35:46
People were treating those
35:49
as certain outcomes
35:51
that were more certain because if
35:53
the odds are like 80 to
35:55
20 or 90 to 10, that's
35:57
a certain outcome in their minds.
44:00
Um, but you, what you're trying to find
44:02
are like, you know, a lot of players like, well, we
44:04
have to be very precise about this and that what you
44:06
want to find are like the big leaks that you have
44:08
the big blunders that you're making or,
44:10
or the failure to take advantage of good
44:12
opportunities. I mean, for the most part in
44:14
poker, you make your money from
44:17
the bad players, obviously, and you make more
44:19
from the bad players than you lose
44:21
the good players. So often, often
44:23
one player will be the reason that a whole game
44:25
is going on. A table of eight or nine players,
44:28
there's one fish or whale they're called.
44:30
If they're a high stakes fish, there's one whale
44:32
and the minute the whale leaves the game drives
44:34
up. So this fish is
44:38
the player that isn't you guys. That is the
44:40
sucker at the table. Is that what the fish
44:42
is? The fish is a sucker, a donkey,
44:45
a dog, a fun player, a
44:47
VIP. There are a lot
44:49
of nicknames for this breed of, of, of a
44:51
poker athlete. And if they have a lot of
44:53
money, they're a whale. That's what it is. That's
44:55
right. Yeah. Yeah. A whale and the whale term
44:58
is used. The gambling
45:00
industry is like whale
45:02
hunting, really, right? They want people
45:05
who are spending hundreds of thousands
45:07
of dollars in betting per trip.
45:10
And if you do that, then you'll get any
45:12
suite that you want. Any,
45:15
because it's Vegas, right? Any
45:17
female attention that you want, right?
45:20
There's some things you shouldn't ask for, but
45:22
yeah, the VIP patrons are treated very, very
45:24
well by the casinos. Does Vegas make most
45:26
of its money from like
45:29
a lot of select whales or all
45:31
the little guppies that are coming into
45:33
the casino, not even the fish,
45:35
just even the guppies. There's really
45:38
three markets, right? Um, the
45:40
top tier market, if you're going to like the wind or
45:43
the area or Bellagio, places like that, that's
45:46
a market for, for whales
45:48
first and foremost. Um, they
45:50
want really, really, really high
45:52
rollers. And, and
45:54
because, you know, one person coming in to spend
45:57
$300 on slots versus one person who will bet
45:59
three million. million on Baccarat for a weekend. I
46:01
mean, just do the math, right? It's 10,000 times
46:03
more valuable. The middle
46:06
market is
46:08
kind of a loyalty and rewards, like a
46:10
frequent flyer program basically, right? They rely on
46:13
regular business. Of course, they still like their
46:15
whales, but they
46:17
want more the guys who are
46:19
going a couple of times
46:21
a year. Then there's a locals market,
46:24
which is some of the more
46:26
depressing places on
46:28
earth. And that's, you know, that is frankly
46:30
relying on people who are
46:32
compulsive slot machine players, to put
46:35
it bluntly, who
46:37
are probably not particularly well off. Like
46:39
some of the rundown casinos, they don't even have
46:41
blackjack tables anymore. They might have
46:43
some electronic games, but yeah, those people are
46:46
just there to, you know, punch
46:48
quarters and not even quarters anymore, but
46:50
to press buttons on slot machines. And
46:53
that part of the market, you know,
46:55
I spent a lot of time in casinos
46:57
writing the book. I'm not bothered by, I
47:00
enjoy my time in Vegas, but like that
47:02
part of the market can be pretty depressing.
47:04
Yeah. You mentioned that many of the people
47:06
who do the slot machines are really different
47:09
from the other gamblers. Like you describe them
47:11
as people that really are there for an
47:13
escape and winning really doesn't matter as much
47:15
as the escape of playing the slots themselves.
47:18
Is that accurate? Yeah. There'll be things like
47:21
they will be playing so much
47:23
they haven't realized that like they feed their pants
47:25
or things like that. It
47:27
gets dark, Larry. And
47:29
yeah, when you win a slot jackpot,
47:32
like alarm sound and like some attendant
47:34
comes over to like give you like
47:36
a 1099 form tax form and things
47:38
like that. And it's quite disruptive
47:41
and some people don't want that. They want to
47:43
just keep playing to keep playing. And, you
47:46
know, it's similar technology, not coincidentally
47:48
to the technology used by like
47:51
Facebook and Twitter and Tik Tok and Instagram
47:53
to get people to continuously scroll. If you,
47:55
if you play a slot machine, there's
47:58
never any natural break. They
50:00
tend to be pretty big spenders. They
50:02
tend to tip pretty
50:04
well, right? They tend to like taking nice
50:08
vacations, right? Spin
50:10
a lot on golf and sports and things like that.
50:13
I think they kind of recognize the ephemeral nature of
50:16
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of Ford or its affiliates. What
51:26
traits make the best poker player today?
51:29
And has that changed over
51:31
time? Like since Joe Brunson wrote his
51:33
book and kind of created
51:36
the modern poker player, it seems like with,
51:38
is it a GTO, Game Theory or
51:40
something like that? GTO is the shorthand
51:42
for Game Theory Optimal Play. Game Theory
51:44
Optimal Play. Okay, explain what that is.
51:47
And has that changed how poker kind
51:49
of operates? Oh yeah, totally. Like to
51:51
the point where if you took like
51:54
an average player from a tournament today and
51:56
put him or her back 25
51:59
years ago, they'd be one of the... river
58:00
in general. Certainly traits
58:02
like attention to detail,
58:04
right? Traits
58:07
like not caring as much about what
58:09
the rest of society think, sorry, traits
58:11
that are associated with the
58:13
spectrum. Although the spectrum is also, I talked
58:15
to like one of the world's leading autism
58:17
researchers, who is Simon Baron Cohen, who's actually
58:19
related to Sasha Baron Cohen. To Sasha, I'm
58:22
sorry. And
58:25
I mean, the whole spectrum thing itself is kind of
58:27
complicated. It's like these five
58:29
different categories that, you know,
58:31
most people are not a five out of five. They might
58:33
rate strongly on one or two of
58:36
these domains and not others. What's
58:38
unusual is that usually people who are on the
58:40
spectrum are pretty risk averse. They
58:43
want routine and regularity, whereas that
58:45
doesn't necessarily work in gambling where you have
58:47
uncertainty. Yeah, routine is what they crave. Yeah,
58:49
they don't want things to change. So
58:51
I think it makes for a really unusual person. So, okay,
58:54
say what you want about Elon Musk. Now he's
58:56
jumping up and down in truck rallies and things
58:59
like that, right? But like, but he is someone who
59:01
identifies as having Asperger's,
59:05
but also is very, very risk
59:07
loving. Right. I think that
59:09
combination is unusual, but
59:11
can lead to high variance outcomes,
59:14
right? Like, you know, some of the hedge fund
59:16
guys probably fall, fall into that
59:18
camp too, right? It was very analytical, but they
59:20
just really liked to take risk almost as a
59:22
matter of, I don't know,
59:25
right? Almost like, is their duty, I
59:27
think. Yeah. You make a distinction between
59:29
what you call foxes and hedgehogs. Tell
59:31
us what those are and who are
59:33
those people? So foxes are people who
59:36
are good at many little things, whereas
59:38
a hedgehog is good at one big
59:40
thing. Okay. In general, I think
59:42
we're in a world where, where
59:45
it helps to be a fox. I
59:47
mean, especially if you're in media, right? You have like a lot of little hustle
59:50
for different things. You can write a little bit. You
59:52
can do some TV, you know how to negotiate as
59:54
a business. You promote yourself on social media, like, you
59:57
know, that's kind of a very fox-like mentality.
59:59
and gamblers are mostly like that. And the
1:00:01
reason why, especially like sports betters is because
1:00:04
like big edges don't
1:00:06
last for very long. Right.
1:00:09
You can have a big edge for a short period of time or
1:00:11
a small persistent edge, but in business
1:00:14
and sports betting and poker, you
1:00:16
don't just have piles of money lying on the table
1:00:18
for infinite durations of time. And so people
1:00:21
who can pivot and find like
1:00:23
the next opportunity tend to do better
1:00:25
than like the hedgehogs who are very all in
1:00:27
on one approach. Give me an example of who
1:00:29
you would describe as a fox and who you
1:00:32
would describe as a hedgehog. So
1:00:34
someone who will be known to the Ringer family. So
1:00:37
Bob Folgeris is a former MBA
1:00:40
professional sports better and
1:00:43
then left that to go consult for
1:00:45
the Dallas Mavericks and then left
1:00:47
that to go do a bunch of crypto trading and
1:00:49
then left that to go own
1:00:51
like a Spanish soccer team, which
1:00:53
is now progressing the divisions, hoping to one day
1:00:56
compete with the Real Madrid's and whatever. So he's
1:00:58
somebody who's like, yeah, things
1:01:00
are gonna dry up for a period of a couple, after a period of
1:01:02
a couple of years and you have to move on and find like the
1:01:04
next, I mean, hustle is
1:01:06
the wrong term, but he's an example
1:01:08
of that. Whereas maybe
1:01:10
Elon Musk is actually more of a hedgehog,
1:01:13
I guess, right? He's kind of very, very all
1:01:15
in on whatever he's doing at any given time.
1:01:17
Although I think he has a lot of bandwidth
1:01:20
to juggle different things, but
1:01:23
he's more ideological, right?
1:01:25
When he founded SpaceX,
1:01:28
according to his kind of friend of me,
1:01:30
Peter Thiel, he's like, yeah, I'm just
1:01:32
gonna do this, right? I don't care about the odds, I'm just gonna
1:01:34
do this and not play
1:01:36
the percentages just because I don't see why it can't be done.
1:01:39
I am the person to do it and
1:01:41
therefore we're gonna make it work. So the
1:01:44
hedgehogs are people that are more idealistic in
1:01:46
terms of following a certain set of ideals
1:01:48
that they adhere to. And
1:01:50
that's our thing, whereas Foxes
1:01:53
are more strategy oriented. Is that it?
1:01:55
Where they're looking more- Strategic is a
1:01:57
great word, I think, to describe Foxes.
1:02:00
And they're more willing to be self-critical
1:02:04
and to change plans potentially.
1:02:08
Foxes are concerned
1:02:10
about overconfidence where his hedgehogs
1:02:12
are supremely confident, which is again,
1:02:14
why I mention him on the next, because
1:02:17
he has no half felt
1:02:20
beliefs, right? If he's gonna endorse
1:02:22
Trump, then he's literally
1:02:24
going to the rallies and
1:02:27
doing everything he can, right? There aren't
1:02:29
any half measures, but in
1:02:32
business that seems to work actually
1:02:34
in like startup type environments. It's like, well,
1:02:36
we're really gonna like, it's
1:02:39
balls out on this project all the
1:02:41
time and we can fire the 80%
1:02:43
of Twitter engineers who aren't in this
1:02:45
mentality. And I guess the
1:02:47
software still works, whatever else you think of the
1:02:50
political environment on Twitter, I mean, the software works
1:02:52
well enough. And so, but yeah, that's
1:02:54
the more hedgehog mentality, which
1:02:57
is unusual in the river. Usually you have
1:03:00
mostly Foxes who know a lot about a little
1:03:03
bit about a lot of different things. So would
1:03:06
you put Elon in the river? Is that
1:03:08
what you're saying? I think you have to,
1:03:11
because even though he is more impulsive
1:03:14
than some people, I mean, he
1:03:18
certainly is an amazing
1:03:20
gambler. If you read the Walter Isaacson
1:03:22
biography of Elon Musk, it
1:03:24
tells an anecdote about him playing poker. Literally he just
1:03:26
goes all in every hand and just
1:03:28
pulls out more money until he wins, right? And then
1:03:30
quits. That's
1:03:34
the ultimate bully approach to poker.
1:03:37
I've got a bigger stack, so I'm just gonna
1:03:39
keep doing this. Yeah, and if you haven't played
1:03:41
poker, it's played for table stakes. You can't be,
1:03:43
keep like, I don't really Elon Musk, I
1:03:46
bet $220 billion and you have to go to the
1:03:48
bank. No, it's not like
1:03:50
that. You play for the money that you have in front of you. But
1:03:54
yeah, he is just pure
1:03:56
degenerate gambler when you play the poker, according
1:03:58
to Walter Isaacson's book. What
1:04:00
type makes the best leaders, do you think?
1:04:02
Like we have industry,
1:04:04
politics, maybe
1:04:07
academia. What makes the best leaders in, let's
1:04:10
say, politics? You know, I don't even know
1:04:12
that many. When you meet
1:04:14
politicians, like if you meet like a senator, they're usually
1:04:16
kind of weird, right? They have this like wax figure
1:04:18
quality, I think. Senator sometimes,
1:04:20
remember, politics is in the village. So,
1:04:23
you know, usually they are people who are, who
1:04:26
are very good coalition
1:04:29
builders. Joe Biden,
1:04:31
especially in his younger years, was very
1:04:33
effective at like calling
1:04:36
donors, building coalitions, making
1:04:40
friends and allies and not enemies. And like,
1:04:42
that's the core skill set for politics,
1:04:45
which to me sounds terrible. Like you have to go
1:04:47
on some phone call and have some weird chicken
1:04:50
dinner at some rich person's house or
1:04:52
something. That seems horrible. That's
1:04:56
what their lives are, really. Because they're always,
1:04:58
just think about Congress. I mean,
1:05:00
at least in the Senate, it's every six years.
1:05:03
In the Congress, every year you're trying to raise
1:05:05
money because it's only a two year term. So
1:05:07
once you get in, you're already raising for the
1:05:09
next term. Yeah, look, even Donald
1:05:11
Trump, for as much as he defies the
1:05:15
norms and rules of politics,
1:05:18
you know, if you talk to people who have been
1:05:20
in rooms with him, like, yeah, he's very charming, right?
1:05:22
He will, or at least when he was younger, right?
1:05:24
He would remember your name and know how to charm
1:05:26
you, and know how to network around people
1:05:28
who have a lot of money. Even
1:05:31
to the point of being petty, right? Like
1:05:34
calling him to complain about a headline or he
1:05:36
got a person, he
1:05:38
got an analyst fired for saying
1:05:40
that his Atlantic City casinos were going
1:05:42
to fail because
1:05:45
he had taken out loans at like a 17%
1:05:47
interest rate, which of course they did. Right,
1:05:51
of course. Yeah, it's pretty
1:05:53
hard to lose
1:05:55
money in the casino business, but he managed to
1:05:57
do it. But even he has some
1:08:00
blighted piece of land. And we're like, what if we put like
1:08:02
a nice hotel there, right? And just
1:08:04
kind of, you know, seeing a couple of
1:08:06
moves. Like, yeah, I was having this debate
1:08:08
with, at a poker game last night, right?
1:08:10
About whether Trump is smart or
1:08:12
not. And
1:08:14
it's a pretty Harris
1:08:17
supporting crowd, this particular poker game. And I'm
1:08:19
like, of course Trump is smart,
1:08:22
right? I mean, smart
1:08:25
people are often their own worst
1:08:27
enemies too. All the Walter Rodgers and
1:08:29
books about these geniuses are about people
1:08:31
who are very much tortured by
1:08:33
their demons, whether it's Elon Musk
1:08:35
or Steve Jobs or whomever else.
1:08:38
Yeah, I find Trump not to be
1:08:40
smart. I feel like he's
1:08:43
clever, but he's also dumb as a post.
1:08:45
Like he's both of those things, you know?
1:08:47
Yeah. But he's very clever to me. Like
1:08:50
he's figured something out, but
1:08:53
he almost plays a hand too many
1:08:55
times, like the same hand. You
1:08:58
know, a good poker player would learn how to
1:09:00
beat him. It would seems pretty quick, but he
1:09:02
does play a certain hand. But
1:09:04
there's so many things he just seems, I
1:09:07
don't know, just shut off from the knowledge of, for
1:09:09
whatever reason, I don't know how he could live so
1:09:11
long. They say knowledge about some
1:09:13
things. I think it's really hard, right? Because
1:09:15
in the book, I met more, you know,
1:09:17
millionaires and billionaires than I ever had in
1:09:20
my life. And like, it's very hard not
1:09:22
to let that go to your
1:09:24
head, right? You're in
1:09:27
bubbles. You're in bubbles. You're in bubbles. You
1:09:30
get to a point where you never should have
1:09:32
to worry for money unless you really fuck up,
1:09:34
right? And so like, you know, some of these
1:09:36
guys will formulate political opinions, you know,
1:09:38
whether you're on wall street or Silicon Valley or
1:09:41
Hollywood, which guys in all these
1:09:43
professions where it's like, that's a really stupid political opinion that
1:09:45
shows you don't know what you're talking about. But
1:09:49
there's no, yeah, but people don't
1:09:51
know any better or they
1:09:53
start to hear something that they kind of, it's like
1:09:56
this game of telephone where like, you
1:09:58
repeat something then it gets repeated back to
1:10:00
you. you're like, oh, all the smart people
1:10:02
are are saying the same thing. It's like
1:10:04
just kind of a literal echo chamber half
1:10:06
the time. Real fascinating, just real fascinating. All
1:10:08
these types and stuff. Before
1:10:11
you go, you know, I wanted to get a
1:10:13
couple of predictions from you. See what we can
1:10:15
get. You know, let's start with
1:10:17
the election. If you had to predict somebody and it's
1:10:19
good because it's even right now, which is good, as
1:10:21
you say. We're talking about
1:10:23
this on Wednesday, October 15th. As
1:10:26
of today, it is a dead heat in
1:10:28
terms of the popular vote. And
1:10:30
is Trump slightly ahead in the
1:10:33
electoral right now? No, the
1:10:35
popular vote is Harris is a heavy favorite
1:10:37
in the popular vote, like a three to
1:10:39
one favorite. The electoral college is 50 50 50 50.
1:10:44
If you were to make a prognastication
1:10:46
based on that information, what
1:10:48
would you say? Well, that's 50. So I am going to. It's
1:10:51
50 50, Mr. Poker player. I'm going to random.
1:10:53
I'm going to randomize 50 50 all the time. I'm
1:10:55
going to randomize. I'm going to look at the last digit of
1:10:58
my phone. Oh, and if it's
1:11:00
even, I'll predict Harris and if it's I
1:11:02
predict Trump. It's even. So
1:11:04
I'm predicting Harris. Just like the puppy bowl. No,
1:11:07
it's like you might as well. I mean, they have this puppy.
1:11:09
No, no, no, no. Yankees games now. Yeah,
1:11:11
I I I really don't have it on
1:11:14
your phone. Blame me on your phone. I
1:11:16
really don't have any any instinct beyond the
1:11:18
model because and there are
1:11:20
times when I would like when. So you're only
1:11:22
going by the model. You're not going by your
1:11:24
observation of anything else. Yeah, look, I mean, I
1:11:27
you know, I could equally
1:11:29
compelling portraits to you of why each
1:11:32
candidate wins. Right. If Harris wins and
1:11:34
it's probably a story about about
1:11:37
having really motivated voters and having a
1:11:39
better turn out operation, maybe a
1:11:41
story about pollsters being scared
1:11:43
to miss low on Trump
1:11:45
again. Right. If it's Trump winning, it might be about the
1:11:49
momentum in the last week of the campaign. And the fact
1:11:51
is that like, look,
1:11:54
in parties all around the world, parties that
1:11:56
were in charge of things during COVID, even
1:11:58
though Trump was actually. in charge during COVID,
1:12:00
but Biden gets blamed for this. But
1:12:03
incumbent parties are having a rough go of things and
1:12:05
we had inflation hit 9% for
1:12:07
a period of time. And then Biden went
1:12:09
in prison until he was 86 and
1:12:12
kind of had to be ushered out.
1:12:14
And Harris
1:12:17
is trying to become a historic president. We've
1:12:20
never had a women president before. The Electoral
1:12:22
College favors Trump. So
1:12:26
there won't be a short effect of explanations if
1:12:28
Trump were to be reelected. Take
1:12:31
that for what you want, everybody
1:12:33
out there. Okay, World Series
1:12:35
is coming up. We
1:12:37
got four teams in the mix, as we're speaking right
1:12:39
now, one of them being my Dodgers.
1:12:43
Any odds favoring anybody right now at
1:12:45
this point in the game? I mean,
1:12:47
the betting markets say the Yankees, I
1:12:50
think. If I could say nothing as we're
1:12:52
taping this, right? The
1:12:56
Dodgers, you're kind of, my dad grew up a
1:12:58
Dodgers fan, I don't wanna like crash
1:13:00
the Dodgers. It's kind of a weird brand. Like why are
1:13:02
there, like LA is so chill and then it seems like
1:13:04
there are lots of fights and stuff at Dodger Stadium, I
1:13:06
don't know. Well, you gotta know
1:13:09
LA to know that. In New York, we're
1:13:11
rooting for a Subway series, obviously.
1:13:13
Yeah, and nobody cares about that. Only
1:13:16
New York cares about that. New York has kind of had
1:13:18
crappy luck in sports for a long
1:13:20
period of time, right? I moved here in 2009, I think
1:13:23
the Yankees won that. When
1:13:25
was the last time the Giants won in 2011? We've gone like
1:13:27
a decade without any championships.
1:13:29
Yeah, the Knicks, 1973. It's
1:13:31
been a long time for the Knicks. And
1:13:34
New York is a fantastic sports fan, sports
1:13:36
town when they win. It's
1:13:39
so weird to say the underdogs, right? Because
1:13:41
it's like the richest city in the world, right? You
1:13:43
guys are horrible losers, but very good winners,
1:13:46
very good. Super
1:13:49
Bowl, any favorites right now? Who are the favorites
1:13:51
for Super Bowl? Kansas City Chiefs in the AFC.
1:13:54
Who's the NFC favorite? I assume
1:13:56
it's the Chiefs and then... I
1:14:00
don't know, I mean, I'm a Lions fan. So
1:14:02
I've been ready. That's a pretty
1:14:04
good bet. Cause you can bet on who's gonna be in the Super Bowl,
1:14:06
right? Of course you can. Yeah. So
1:14:09
if you're betting today, who's gonna be in Super
1:14:11
Bowl? Lions chiefs, is that a
1:14:13
good bet? Lions chiefs, yeah. I was gonna
1:14:15
go with the Lions made
1:14:17
it cause I am 46, I'm
1:14:20
a Lions fan. And until last year they had
1:14:22
won one playoff game in
1:14:24
my lifetime, right? So I'm like, if the Lions
1:14:26
make it, I just have to go
1:14:28
to Vegas and get two tickets and
1:14:31
I don't care how expensive it is, right? So
1:14:33
then blowing, I came to the 49ers, probably
1:14:35
saved me like a $20,000 tickets and hotels and
1:14:40
stuff like that. Maybe I would have made
1:14:42
it up at the poker, but yeah. Okay,
1:14:45
here's my alternate bet. Vikings Ravens, there
1:14:47
you go. That's a good bet.
1:14:49
Okay, I like that. Vikings Ravens, okay. That's the
1:14:51
underdog one. But I like the first one.
1:14:53
NBA, who at the beginning
1:14:56
of the season, which you
1:14:58
bet on right now to be in the NBA
1:15:00
finals. You don't have to bet the winner. Boring,
1:15:02
but I would go Celtics,
1:15:05
Thunder. I mean, the Celtics are
1:15:08
really good and really deep. I guess I don't know if Rosingas
1:15:10
is out for the start of the year or not. Okay,
1:15:13
see, man, they were. The Thunder,
1:15:15
really? You picked the Thunder for the finals? Yeah.
1:15:18
Yeah. Oh, man. They're really good.
1:15:21
They added former Nick Isiah
1:15:23
Hartenstein. Well, yeah,
1:15:25
he's gonna make the difference. No,
1:15:29
they're like their youngest remember to advance to
1:15:31
that stage of the playoffs, I
1:15:33
think. And like, this is one of the things that
1:15:35
is predictable in sports is that like, when
1:15:37
you're young, you get better quickly. So
1:15:42
I think the Thunder are gonna be a very good team. Yeah,
1:15:44
I think they'll be good. I mean, it'd be interesting to
1:15:47
see how Memphis does this year with their team back, you
1:15:49
know, if they
1:15:51
have a team. They're coming a bit overlooked. I like
1:15:53
that. Dallas
1:15:55
is gonna be tough. You can't sleep on
1:15:57
the Mavs. They're gonna be a good team.
1:15:59
Yeah. I was wagering a lot against
1:16:02
the Mavericks last year, so that didn't work
1:16:04
out very well. Yeah, and I would choose
1:16:06
somebody other than the Celtics. I don't like
1:16:08
that bet. Last
1:16:10
one, this is just for me, Masters,
1:16:12
because he follows in golf and everything.
1:16:15
I don't know what else about golf, I could maybe random
1:16:17
with Scotty Scheffler, he's a good golfer, right? I was gonna
1:16:19
say, Scotty Scheffler gotta do it, dude. That's about how much
1:16:22
I'm gonna win. Does Tiger have one more in him? Okay,
1:16:24
here's the bet. This
1:16:26
bet has to be out there. Will Tiger
1:16:28
win another tournament? Not even a major. Will
1:16:30
he win another tournament? What's the
1:16:32
money on that? Is that good money or is
1:16:35
that bad money? Can it be a senior
1:16:37
event? Nope, gotta
1:16:39
be a PGA. Regular PGA tour. Yeah.
1:16:42
I think the odds should be like plus 150
1:16:44
or something, like a slight underdog. Apparently
1:16:46
it was a good bet when
1:16:48
Tiger was making his comeback to bet
1:16:51
against Tiger making the cut of
1:16:53
various events, right? Because these feel good
1:16:55
stories, like, nah, I don't want the
1:16:58
feel good, right? That's
1:17:01
an interesting bet. When somebody's doing
1:17:03
a particular thing, people
1:17:05
betting against it or that type of thing,
1:17:07
it's kind of interesting. It's hard to know,
1:17:10
because yeah, usually the crowd favorites are over-hyped
1:17:12
in betting markets, but now and then, I
1:17:14
remember watching a Serena
1:17:16
Williams match, the last one she won at the
1:17:18
US Open a couple of years ago. And
1:17:21
she did find that magic for one more match,
1:17:24
right? To win the second
1:17:26
round match. Clearly
1:17:28
not herself physically, but yeah,
1:17:31
look, I think as you get older,
1:17:34
then it's a sustained effort that's hard.
1:17:36
But maybe for one more, you know,
1:17:38
I mean, the Warriors winning that title
1:17:41
a couple of years ago was also, not
1:17:43
like they're that old, right? But like that was
1:17:45
kind of amazing too. I think quit Ceph and
1:17:47
company in like a different stratosphere. They had a
1:17:49
good run. Are they done? I think the West
1:17:51
is just too tough. I mean,
1:17:54
they were gonna try to get Lowry marketing. They'd have
1:17:56
to make some trade. I
1:17:58
just think they're like. Andrew Wiggins
1:18:01
has not been very good recently. It's
1:18:03
hard to see them winning four playoff
1:18:05
series. Are my Lakers done? Should
1:18:07
we just like, you
1:18:09
know, move on? Like
1:18:11
LeBron, it's time to go. Maybe if
1:18:14
Bronny is really good. No, I don't know. Bronny
1:18:16
is really good. I
1:18:19
like the Lakers roster like a little bit more
1:18:21
than the worry. It's just a matter of like,
1:18:24
you know, they were healthy as
1:18:26
you might hope for last year, LeBron
1:18:28
and AD, right? And
1:18:30
no one else was them. That's the problem. Yeah,
1:18:33
I mean, there's a word. I mean, look, there's
1:18:35
still probably both top 10 players.
1:18:39
So in principle, if the kind of rest of
1:18:42
the core clicked, I
1:18:44
would take, if I had sick a flyer on the
1:18:46
Lakers, I'd take it before the Warriors, I think. All
1:18:48
right, there you go, everybody. Nate
1:18:51
Silver, predicting my Lakers are winning NBA championship. That's
1:18:53
not a prediction. He said it right here. He
1:18:55
said it first. That's where the
1:18:57
good money is. And Bronny will get the
1:18:59
winning shot. He
1:19:02
scored the tag. Nate,
1:19:05
so much. It's been a pleasure talking to you,
1:19:07
man. I went back and started watching more poker.
1:19:09
So if I was reading your book, I hadn't
1:19:11
watched it in so long and I was like,
1:19:13
oh yeah. Oh, somebody just said fish. Oh wow,
1:19:15
look at this. You
1:19:17
know, I started hearing all the terms that I
1:19:19
didn't know what they were. And now suddenly they're,
1:19:22
you know, I was understanding so much more
1:19:24
watching it. It's real interesting. I
1:19:27
love watching poker. I find it fascinating
1:19:29
because I like human behavior, you know, and I just, I
1:19:31
love seeing people not know what to do
1:19:33
with bluffs. It's very entertaining, you know? It
1:19:35
is very, and the innovation of you get
1:19:37
to see what they have, right? So you
1:19:40
have like this X-ray vision basically. It's
1:19:43
great for TV. Yeah, it really is
1:19:45
great. Nate Silver, everybody. Get
1:19:48
his book. Nate, thank
1:19:50
you so much for being here.
1:19:52
It's on the edge, the art of risking everything. He's
1:19:54
not telling you to risk everything. He's just telling you
1:19:57
just how it works. If I did it. But,
1:20:01
you know, what is life at that
1:20:03
risk, right? Absolutely. Okay, thanks
1:20:05
so much, Zane.
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