back to indexHow to Improve Your Decision Making Process | Dr. Michael Platt & Dr. Andrew Huberman
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Chapters
0:0 Understanding the Decision-Making Circuitry
0:42 The Role of Evidence & Expected Value
2:11 Speed-Accuracy Trade-Off in Decisions
3:29 Impact of Arousal on Decision Making
4:42 Real-World Decision Making Examples
7:45 Fatigue & Decision Making in Sports
9:18 Experimenting with Wrestlers
12:17 Challenges in Real-World Decision Making
00:00:00.000 |
What are the core mechanics of value-based decision making as it relates to outcomes 00:00:11.020 |
So we – I think we understand this system pretty well at this point. 00:00:16.180 |
So the last 25, 30 years have been enormously productive. 00:00:20.180 |
So we have a good sketch of the circuitry that does this and essentially what happens 00:00:23.660 |
is you're confronting a situation and it doesn't really matter whether – it seems 00:00:27.680 |
to be the same process, no matter whether you're trying to decide between eating a 00:00:31.120 |
donut or an apple or buying this house versus renting an apartment or marrying this person, 00:00:42.400 |
And what happens is you come to the situation and your brain takes in evidence about the 00:00:50.720 |
What are the options that are available to me? 00:00:53.320 |
What do I know about them from their stimulus properties and from, you know, maybe prior 00:00:59.880 |
And it takes that evidence and it weighs it against stored information about things you'd 00:01:05.320 |
done in the past, other decisions you'd made, and then begins to assign value, computes 00:01:10.040 |
the expected value of those different options in terms of what it will return to you. 00:01:16.680 |
And then essentially that is the basis along which that decision gets made. 00:01:23.840 |
So it's, you know, it's a soft max function as we say, so it's not like a hard deterministic 00:01:31.520 |
So there's some statistical noise in there for some, you know, we could talk about what 00:01:36.440 |
You make a choice and whenever you make a choice in any behavior that you're engaging 00:01:41.160 |
in, your brain is making a forecast of what's going to happen next as a result of that. 00:01:46.160 |
And your brain then determines, computes, that things go exactly as predicted, right? 00:01:52.520 |
Is it better than predicted or is it worse than predicted? 00:01:55.200 |
And then that signal gets fed back into the system to update it so that it hopefully performs 00:02:03.800 |
So like, "Oh, actually that was—it went way better than expected. 00:02:08.040 |
You should assign that a higher value and do that thing." 00:02:12.280 |
And this process of weighing up the evidence takes time. 00:02:17.160 |
And that's why we have this speed-accuracy trade-off in decision-making where we observe 00:02:21.800 |
that the faster you go, the more mistakes you tend to make. 00:02:28.160 |
We've all made split-second decisions that we regretted later. 00:02:36.560 |
The more time you take, the more evidence you can accumulate. 00:02:40.920 |
And when you have to recognize that the data your brain is taking in from the environment 00:02:50.680 |
It's noisy because the wetware of the brain is statistical and biological. 00:02:56.520 |
So you can make the wrong choice by virtue of the noise dominating the signal. 00:03:03.520 |
And that happens when you go too quickly, right? 00:03:06.320 |
And one of the things that's – so there's a good mantra from that, which is if you want 00:03:11.520 |
to make really good decisions or if it's really important, you kind of have to decide 00:03:14.720 |
ahead of time, like, "Do I need to be accurate or do I need to be fast?" 00:03:19.160 |
And if accuracy is important, you need to slow down. 00:03:24.240 |
Take as much time as needed to get the most information that you can. 00:03:29.300 |
And even in the moment that doing, like, simple strategies like breathing or having, you know, 00:03:36.500 |
a mantra that says, like, you know, it's not what matters – you know, every little 00:03:40.020 |
decision is not what counts, but it's the long run. 00:03:43.160 |
That helps to turn – we've talked about arousal a lot here. 00:03:47.400 |
One of the things you think of arousal as doing when you keep talking about volume knobs, 00:03:51.460 |
it's like a volume knob for the stuff that's coming into your brain that could be signal 00:04:01.620 |
So you could count as evidence toward the value of an option something that is not actually, 00:04:09.540 |
you know, evidence, and then you make the wrong decision. 00:04:12.420 |
So by turning down arousal, slowing down, you're relying more on evidence than on noise. 00:04:20.900 |
Does increasing arousal increase the likelihood of false positives, that is, thinking something 00:04:25.260 |
is there that's not, generally speaking, as well as false negatives, you know, thinking 00:04:31.020 |
that something's absent when actually it's present? 00:04:34.300 |
I haven't thought about it that way before, but it seems to me like that's – yeah, 00:04:42.620 |
Just by way of example, one of the things that's been really different for me in the 00:04:48.180 |
last few years is how quickly you move to publication when you podcast or when you're 00:04:55.780 |
doing social media, you just click, it's out in the world versus, you know, the way 00:05:01.260 |
I was weaned was, you know, spend two, three, four years on a project. 00:05:05.180 |
Maybe it doesn't go anywhere, maybe it does, goes to multiple papers, gets reviewed. 00:05:08.460 |
So by the time it comes out, you know, it's been proofread and you've read the proof. 00:05:13.260 |
So it's been vetted by a number of hopefully expert sources, usually really good sources 00:05:19.420 |
of feedback, as opposed to nowadays where you can just kind of move immediately to publication. 00:05:25.780 |
And I used to have this saying, which was in the lab, because sometimes, you know, you 00:05:32.300 |
have two months to do a revision or something, it's never really two months, it always 00:05:35.140 |
takes five times as long, I used to say, "I go as fast as I carefully can," and I used 00:05:41.100 |
to tell my students in postdocs that, "We go as fast as we carefully can because the 00:05:44.380 |
moment you start going fast, you start making mistakes, you start making mistakes, you definitely 00:05:49.100 |
And the mistakes that I've made podcasting were a product of going fast and/or fatigue 00:05:53.580 |
and the two things kind of relate to one another. 00:05:57.940 |
Or occasionally somebody will highlight conflicting evidence and then nowadays you can go back 00:06:02.020 |
and repair things with AI, you can, you know, you put things in, but I feel like so much 00:06:08.220 |
of life in terms of decision-making is trying to make decisions when most of the time we 00:06:14.100 |
think we don't have more time, but most of the time we do have more time, unless somebody's 00:06:21.740 |
But then there are some real things where we don't always have more time, I mean, we 00:06:27.120 |
are biological aging machines and there is such a thing as too late. 00:06:32.980 |
So how do you think these systems change as a function of, you know, playing a game for 00:06:39.660 |
some money in the lab or we can get caught up in it, but there's this like tremendous 00:06:45.620 |
backdrop of context, you know, $100 might be fun for one person, might be the difference 00:06:50.100 |
between making rent and not making rent for another person. 00:06:54.660 |
You know, the decision to stay in a relationship or leave a relationship when you're in your 00:06:58.900 |
teens or 20s is fundamentally different than when somebody's, for instance, near the transition 00:07:05.540 |
zone of having versus losing their fertility. 00:07:08.660 |
I mean, these are like, yeah, and those change all sorts of, these pressures are so real 00:07:14.820 |
and yet if we only have one system in the brain that handles this similarly to the reward 00:07:19.340 |
system, it seems like we ought to learn in school how to, like, work with and update 00:07:29.020 |
our decision-making process based on immediate term, short term, like all the different timescales. 00:07:34.540 |
To be able to do that seems really important. 00:07:39.220 |
Yeah, I think it's a, so there's a few things in here that I think are worth unpacking. 00:07:45.580 |
I mean, one is what you brought up about fatigue, which I think is really critical. 00:07:52.540 |
We did some work with the wrestling team at Penn. 00:07:56.620 |
Coach came to us, and I had had a few of the wrestlers working in my lab, and he said, 00:08:00.540 |
you know, we're having this problem, which is that, and I don't know if you've ever wrestled, 00:08:09.020 |
Well, I didn't quit because I lost that match, and I did lose that match, it was seventh 00:08:13.060 |
I didn't quit because my dad gave me a choice, I could either continue to wrestle or I could 00:08:18.940 |
play this other sport that I really wanted to play. 00:08:21.820 |
He said you can't do both because it was going to impact my grades negatively, and so I opted 00:08:37.120 |
And, but, you know, losing that one wrestling match was informative. 00:08:38.120 |
The guy just dead fished on me the whole time, and he deserved to win, like, it was a really 00:08:46.060 |
You know, and I, like, couldn't gum me out of there. 00:08:47.860 |
But it is the worst six minutes of your life. 00:08:55.300 |
And what the coach observed was that their guys, it was the men's wrestling team, was 00:09:02.060 |
they were performing very well in the first two periods, and they got to the third period 00:09:05.420 |
and they start making really dumb mistakes, bad decisions. 00:09:11.180 |
I said, "Well, it's about the speed accuracy trade-off, but we have to investigate how 00:09:16.580 |
So what we did, this was a really fun experiment. 00:09:18.900 |
So we go to the wrestling room and we wire these guys up. 00:09:22.100 |
They got wearable EEG, heart rate monitors, the whole nine yards. 00:09:25.580 |
And what we do, we gave them, like, this simple little decision-making/impulse control task. 00:09:34.860 |
If you go too fast and you make mistakes, okay? 00:09:42.260 |
Then we run them through two minutes of CrossFit exercises, really brutal. 00:09:46.140 |
Then they come back off and they have to do the same thing again. 00:09:47.980 |
And we do that three times and then they have to wrestle each other. 00:09:52.740 |
- Not on, like, chess boxing, which is not a sport I recommend. 00:09:56.700 |
- Where they play around, they play some chess and then they literally fight and then they, 00:10:00.980 |
It's like switching between these two very different states of mind. 00:10:02.820 |
- Yeah, it's insane, but also somehow really appealing, you know? 00:10:05.820 |
It's like- - Well, I think for the neuroscientist in 00:10:07.800 |
you and me, and I think we're all neuroscientists to some extent, we want to understand the 00:10:13.260 |
This notion of very disparate behaviors, boxing and playing chess, being associated with very 00:10:21.500 |
disparate sort of types of arousal and how those map onto one another, I think is interesting. 00:10:28.740 |
- I think the confluence of chess boxing is fencing, which is very much like chess. 00:10:37.760 |
My youngest son fenced for a number of years. 00:10:40.340 |
And so mentally it's like that, but it has the physicality. 00:10:44.940 |
My friends who do Brazilian jiu-jitsu tell me that it's like, there's an infinite number 00:10:48.140 |
of options that become constrained in certain dynamics and yeah, very similar. 00:10:54.540 |
So this was really cool because what we found was that speed-accuracy trade-off, the more 00:10:59.860 |
fatigue they got, the more calories they spent, the faster they would slide down to emphasizing 00:11:08.900 |
They just started like, just got to get done. 00:11:14.020 |
I don't know what they were feeling, but that they were just not deliberating, not really 00:11:23.780 |
And aside from, like you say, well, we could help you guys, you could become more physically 00:11:29.660 |
Maybe you wouldn't fatigue as fast, but they're about as fit as they could be. 00:11:34.340 |
Why don't we offload the decision in the third period to the coach? 00:11:39.380 |
As soon as you, in the third period, you're going to just look at the coach at some cadence 00:11:45.780 |
or whenever he's going to yell at you to look and you do what the coach tells you. 00:11:49.820 |
So I think this is really interesting because you think about it in like other contexts, 00:11:55.740 |
When if somebody is really fatigued or your unit's fatigued, maybe you have an external 00:12:00.380 |
person then who takes over making the decision that you just execute in a sense, right? 00:12:09.420 |
The other thing I wanted to say about this all too, which I think it's to your point 00:12:12.820 |
about, well, in the lab, it's like, you know, it's one thing. 00:12:16.420 |
You've got an undergraduate gambling for 10 bucks over an hour and how well does that 00:12:22.540 |
map on to the real world where there are all these other things going on? 00:12:29.620 |
When I teach business school or in classes, MBA students or executives and through exec 00:12:34.380 |
ed, they all want to know like, give me the five-step formula. 00:12:41.940 |
How do I take into all-- and it's like, well, we mostly know about one-- this dimension 00:12:46.220 |
or that dimension or that dimension and not how in the real world, you know, in a real 00:12:50.740 |
complex environment to put that all together. 00:12:56.860 |
That's a-- and one that we're trying to fill, which is to study decision making, whether 00:13:02.700 |
it's individual or collective decision making in real world environments, right, to where 00:13:07.260 |
all of these factors, you know, context and the various priorities that are coming in 00:13:14.700 |
are more, you know, more natural, they're not controlled. 00:13:18.060 |
And how then-- I mean, we think we know how that works, but we haven't really proven it