Chapter 11: Judgments and Decisions: Using Information to Make Choices

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Hey everyone and welcome to your deep dive.

This time we're going to be diving into the fascinating world of reasoning, judgment, and decision making.

Oh yeah.

That's right.

We're talking about how your mind works.

You know, how you evaluate information, make those tough choices.

And for this deep dive, we're using a chapter you provided from a psychology textbook.

Great stuff.

So we're going to uncover the surprising ways that all of our minds work.

Why we make the choices we do and, you know, maybe how to avoid some thinking traps along the way.

Right.

I think we all kind of go through life, you know, not really thinking about how we think.

Yeah.

But when you start looking at it, it's really amazing how these cognitive processes shape like literally everything we do.

Yeah, for sure.

So this chapter, it kind of starts by defining some terms, laying the groundwork, right?

So we've got reasoning, judgment, and decision making.

So reasoning is about like evaluating information, seeing if conclusions are valid or not.

Yeah.

So that's evaluating conclusions that are already there.

Judgment is forming those conclusions even when things are uncertain.

And then decision making is like, okay, we've got these conclusions now what are we going to do?

Making a choice, usually between different options when things are uncertain.

Yeah.

Like where the rubber meets the road.

Exactly.

Okay.

So then the chapter talks about this idea of a focus on errors approach.

Yeah.

What does that mean?

So it means we can learn a lot about how thinking actually works by looking at, you know, where it goes wrong.

Oh, interesting.

At the errors we make, not just like how it should work theoretically, kind of like optical illusions, right?

They trick our eyes.

And by looking at how they trick our eyes, we learn something about how our visual system works.

Hmm.

That's a great way to put it.

So it's not about saying that we're all like completely irrational, but rather just understanding

the quirks, you know, the short -tuts in our thinking.

That's kind of freeing.

I think so.

We're not expected to be these perfect logic machines.

Yeah.

It takes the pressure off, right?

Yeah, totally.

So that leads to this idea of bounded rationality, which is it acknowledges that we have limited cognitive resources.

We can't process everything perfectly.

Right.

But we're not doomed to be illogical, right?

We've developed these mental shortcuts.

Okay.

Called heuristics.

Heuristics.

That's ringing a bell.

I feel like we've talked about those before.

Is that kind of like when you're choosing a movie and you just pick the one with the actor you recognize?

Perfect example.

Assuming it'll be good.

Yeah.

Yeah.

You're using a heuristic based on familiarity to make a quick decision.

Yeah.

And a lot of the time, heuristics lead to good outcomes.

Right.

They make us smart in a practical sense.

Hmm.

I like the sound of that.

Right.

Heuristics make us smart.

So they're like, our brain's way of being efficient.

I mean, is there a downside?

Well, heuristics are great for speed, but they can lead us to make errors sometimes, systematic errors in judgment, but we'll get more into that later.

For now, I think it's helpful to just keep in mind that there's sort of two systems at work here.

We have system one, which is like that fast, intuitive, based on heuristics, like your gut feeling.

Oh, okay.

Okay.

And then there's system two, which is slower, more deliberate, and analytical.

Okay.

So system one is like quick on the draw.

It makes those snap decisions, and then system two is more thoughtful, takes its time.

Exactly.

So system two is really important for complex problems, but it takes a lot more effort.

Yeah.

So I'm thinking probably my system one is running the show most of the time, especially like when I'm doom scrolling on social media.

Probably.

Right.

Yeah.

I mean, it makes sense.

Yeah.

But knowing when to engage system two is really important.

Yeah.

Okay.

Got it.

So then the chapter goes into these different types of reasoning.

Yeah.

First, we've got deductive reasoning.

So this is all about starting with general principles and working your way down to a specific conclusion, kind of like top down.

Right.

Like when scientists design an experiment, they're starting from an established theory.

The chapter gives the example of memory research and the encoding specificity principle, which is the idea is that we remember information best when the conditions during recall match the conditions during learning.

Oh, okay.

So like if you're in the same room, you learn something.

Right.

It's easier to recall it.

Yeah.

So a researcher could use that principle to make a specific prediction.

Like people will remember a list of words better if they're tested in the same room where they learned the words.

Makes sense.

It's like a top down approach.

Exactly.

Then there's inductive reasoning, which is the opposite.

Right?

Yeah.

So we're going from specific observations to a more general conclusion.

Right.

From the bottom up.

Right.

Exactly.

So the chapter uses an example of like observing a few professors who get annoyed by late papers and then concluding that most professors feel that way, you'd be using inductive reasoning.

You would.

So it's like piecing together clues in a detective novel.

That's a great analogy.

The more clues you find, the more confident you are in your theory about who committed the crime.

Exactly.

Exactly.

Just like detectives.

Right.

We have to be aware of potential biases.

Oh, yeah.

That might be, you know, sneaking into our thinking.

Sneaking in there.

This is where it gets really interesting, right?

We're talking about those biases in reasoning.

Right.

So first, we've got confirmatory bias.

Yes.

Our tendency to look for information that confirms what we already believe, even if it means ignoring evidence to the contrary.

Right.

Like only watching news channels that align with your political views.

Yes.

Like living in an echo chamber.

Exactly.

Just trying to confirm what you already believe.

OK.

And then there's this fascinating experiment, the Watson selection task.

Oh, yeah.

Can you walk us through that one?

So imagine you have four cards.

Each card has a letter on one side and a number on the other.

You can see E, K, 4, and 7.

The rule is,

if a card has a vowel on one side, then it must have an even number on the other.

OK.

Which cards would you need to turn over to test that rule?

Hmm.

OK.

So I would flip over the E to see if it has an even number and then probably the 4 to see if it has a vowel.

That's what most people do.

Yeah.

But that's not actually the most logical approach.

Oh, really?

Yeah.

OK.

So the correct answer is to flip over the E to confirm the rule and the 7 to see if it has a vowel, which would violate the rule.

I see.

Most people want to flip over the 4, but if the 4 has a consonant on the other side...

It doesn't violate the rule.

It doesn't tell anything.

Oh, wow.

I totally fell for that.

Yeah.

So our brains really like to be right.

They do.

Even if it means bending the rule.

Exactly.

Interesting.

OK.

What other biases are there?

So then there's my side biases.

OK.

Where our own opinions can kind of warp our reasoning, even when we're told to be objective.

So there was a study where students were asked to evaluate arguments about tuition costs and file sharing.

And even when explicitly instructed to consider both sides, students were still more likely to agree with the arguments that supported their existing views.

Yeah.

So we're all a little bit biased.

We are.

Even when we think we're not.

It's just natural.

It's human nature.

It is.

But becoming aware of it is crucial for improving our reasoning skills.

OK.

And then finally, we have belief bias,

where our pre -existing knowledge can affect whether we judge an argument to be valid or not.

OK.

Can you give an example of that one?

Sure.

Let's say you see the statement, all flowers are roses.

OK.

You know, that's false.

Of course.

Not all flowers are roses.

Right.

But if that statement was presented as part of a logical syllogism...

OK.

The task isn't to decide if it's true, but whether it follows logically from the other statements.

Ah.

People often struggle to separate the truth of a statement from whether it's a logically valid argument.

Yeah.

So it's like our brains are trying to blend those two things together.

Yeah.

Truth and ality are different.

Right.

So we're good at finding the flaws in reasoning.

We can be.

But the chapter isn't just about pointing out our flaws, right?

There's got to be more to it than that.

You're right.

It's not just about the errors.

It also explores how we make judgments, which is, you know, going beyond the information we're given to make guesses about unknown events,

educated guesses, like trying to figure out if you'll like a new restaurant based on a few online reviews.

Yeah.

You have some information, but there's a lot of uncertainty.

Exactly.

All right.

So how do we do that?

How do we make those judgments?

Well, this is where those heuristics come in again.

OK.

They're really useful for making quick judgments under uncertainty.

OK.

But, you know, as we said, they can sometimes lead to systematic errors.

Right.

We'll get into that.

Yeah, we'll get into that.

So let's unpack some of these heuristics, starting with the availability heuristic.

Availability heuristic.

OK.

This one is all about how easily something comes to mind.

The easier it is to recall examples of something, the more likely we are to judge it as frequent or common.

OK.

Even if it's not.

Yeah.

Like if you just watch a documentary about plane crashes, you might be more afraid of flying.

Right.

Even though it's statistically very safe.

Statistically it's very safe.

Right.

So it's about those vivid examples.

It is.

That stick in our minds.

Yeah.

It makes them more available.

Yeah.

And then that influences our judgment.

OK.

That makes sense.

Yeah.

The chapter mentions a study where people were shown lists of names.

OK.

And later, they were more likely to remember the names that started with the letter J.

Interesting.

But only if those names were a famous people.

OK.

So if it was just like Joe, Bob, whoever, the J didn't make a difference.

It didn't matter.

But if it was like Jennifer Aniston, John Lennon, suddenly the J factor mattered.

So it's about the familiarity.

It is.

It's about familiarity biasing our memories.

And that can lead to these inaccurate estimations of how common things are.

So it's like our memories are playing favorites, highlighting the most attention -grabbing stories.

Exactly.

Regardless of whether they're actually representative of reality.

That's a great way to put it.

Like how we tend to overestimate the likelihood of dramatic causes of death,

like shark attacks or homicides,

compared to less reported but more common causes like heart disease or car accidents.

Yeah.

We're more afraid of the things we see on the news.

Right.

Because they're more available in our minds.

Even if they're not actually that likely to happen to us.

Exactly.

OK.

But wait.

Earlier you said that familiarity can be a good thing.

Sometimes it can be.

Knowing more can lead to better judgments.

That's where the recognition heuristic comes in.

Oh, right.

OK.

Often we just assume the option we recognize is better in some way.

So like choosing a brand name product over a generic one.

Exactly.

Just because it feels more familiar.

That's it.

More trustworthy, maybe?

Right.

The chapter gives this really interesting example about a study with Americans and Germans.

Yeah.

Asked to judge the populations of various cities.

The Germans, who were less familiar with American cities, actually did better at guessing which cities were larger.

Really?

Yeah.

So not knowing can sometimes be a good thing.

Absolutely.

It prevents you from being swayed by these irrelevant details.

That's interesting.

OK.

So what other heuristics do we have in our toolbox?

So another one is the representativeness heuristic,

relying on stereotypes and similarity to categorize things.

OK.

So that's like assuming someone wearing a suit and carrying a briefcase must be a lawyer.

Exactly.

It's because they match our idea of what a lawyer should look like.

Yeah, we're matching to our mental image.

The problem is it leads us to ignore base rates.

Base rates.

Yeah, the actual statistical likelihood of something being true.

OK.

So even if someone fits the stereotype, it doesn't mean they're actually more likely to be a lawyer.

Right?

We have to consider how common lawyers are.

Right, right.

OK.

The chapter uses a classic example, the Linda problem.

Imagine you get this description of this woman named Linda.

OK.

She's outspoken, bright and concerned about social justice,

which is more probable.

Wow.

One, Linda is a bank teller or Linda is a bank teller and active in the feminist movement.

Oh, I remember this one.

It's so tempting to say number two.

It is.

Because it fits the stereotype.

But isn't it statistically more likely for her to just be a bank teller?

It is.

Regardless of her political involvement?

Yeah, that's the conjunction fallacy.

The combination of two things can't be more likely than one thing.

It's statistically impossible.

It is.

But we get tricked by how vivid that stereotype is.

Right.

Our brains love a good story.

They do.

Even if it violates basic probability.

So interesting.

Speaking of being tricked, the chapter talks about how we tend to misperceive randomness.

Right.

We see patterns where there are none.

Take coin flips, for example.

We think heads, tails is more likely than four heads in a row.

Even though they're both equally likely.

It's like we expect randomness to look a certain way.

We do.

Nice and balanced.

Yeah.

But real randomness, it can have streaks and clusters.

Right.

Like this relates to what they call the hot hand phenomenon in sports.

Oh, yeah.

People believe that a player on a winning streak is more likely to keep making shots.

Right.

Like they're on a roll.

Yeah.

But statistically,

each shot is independent of the last.

It's all random.

It is.

We're just imposing this order.

Trying to find a pattern.

Where there isn't one.

Yeah, exactly.

And sometimes that can have consequences, right?

Oh, yeah.

Like in gambling.

Right.

When people think they're due for a win after a series of losses.

Yeah.

Yeah.

Okay, what else?

What other heuristics do we have to watch out for?

So there's anchoring and adjustment.

Okay.

Which is an initial piece of information can anchor our judgments.

Even if it's irrelevant.

Even if it's irrelevant.

Like when you're negotiating for a used car.

Right.

The seller starts by throwing out this ridiculously high number.

Even if you know it's too high, it can still anchor your perception of what's reasonable.

Right.

Right.

You're anchored to that initial number.

It's hard to adjust from that.

Yeah.

The chapter gives this fun example of estimating how much money is stuck to the walls and ceiling of a restaurant.

Okay.

And people's guesses were totally influenced by a random number given by the host.

Even though it had nothing to do with the actual amount.

Nothing to do with it.

Yeah.

But it still anchored them.

So we get anchored to that first number.

We do.

Even when we know it's arbitrary.

Exactly.

And this happens in real life all the time.

Like with credit card minimum payments.

Right.

If the minimum is really low.

We end up paying way more in interest.

Yeah.

It anchors you to paying less each month.

It's like they're using our biases against us.

It kind of feels that way.

Yeah.

Okay.

And then what was the spotlight effect again?

It's the tendency to overestimate how much other people notice us.

Oh, right.

Right.

We're anchored to our own heightened self -awareness.

Right.

So we think we're under this constant scrutiny, but most people are way too busy worrying about their own spotlight.

Oh, that's comforting.

It is comforting.

Right.

No one's really paying that much attention.

Not as much as we think.

Okay.

So we've covered how our judgments get skewed, but then the chapter takes it a step further.

Yeah.

It talks about how we misjudge our own thinking processes.

Right.

It's not just that we're bad at making judgments.

Yeah.

We're bad at evaluating how we make judgments.

Exactly.

Which is where hindsight bias comes in.

Yes.

The I knew it all along feeling.

Yeah, exactly.

Events seem so much more predictable after they happen.

Right.

The chapter talks about this study with the train derailment.

Okay.

People who were told that the accident had happened.

Okay.

We're way more likely to say that it was foreseeable.

Right.

Than people who are asked to predict the likelihood of the accident before it happened.

So it's like knowing the ending of a movie.

Exactly.

Spoils the suspense.

Right.

It all seems obvious in hindsight.

Right, right.

But this has implications for real life too.

Like legal cases.

Oh, right.

Deciding negligence and liability.

Yeah.

Everyone becomes an expert.

Everyone's a Monday morning quarterback.

After the fact.

Exactly.

Okay.

And then there's also miscalibration of confidence.

Yes.

We're often a lot more confident.

We'll be more confident.

We should be.

Yeah.

The chapter talks about a study where people were asked general knowledge questions.

Okay.

And they rated their confidence.

Even when people were 100 % certain, they only answered about 75 % of the questions correctly.

So we really shouldn't trust our confidence.

No.

Especially not when we're most confident.

Right, right.

Okay.

So we've got all these biases, all these heuristics, and ultimately it all feeds into that most crucial cognitive process, right?

Decision -making.

Decision -making.

Where the stakes are high.

Because our choices can have big consequences.

Big time consequences.

So how do we navigate all of this complexity?

The chapter starts with kind of a classic theory, expected utility theory.

Right.

The idea is that a perfectly rational person should make decisions by weighing the benefits against the likelihood of them happening and choose the option that has the highest expected utility.

Sounds logical.

It does.

Except that we know humans aren't perfectly rational.

Right.

This is an ideal.

Right, right.

It's a normative model, not necessarily how people actually behave.

Okay.

So then the chapter introduces a more descriptive model called prospect theory.

Prospect theory.

Which tries to capture how people actually make decisions.

Okay.

I'm intrigued.

Tell me about this prospect theory.

So prospect theory acknowledges that we don't treat gains and losses equally.

Okay.

We feel the pain of loss more strongly.

Yeah.

Than we feel the pleasure of an equivalent gain.

Interesting.

So like losing $100 feels worse.

Way worse.

Than finding $100 feels good.

Exactly.

Even though it's the same amount.

That's so interesting.

It is.

And this leads to all sorts of interesting behaviors.

By what?

Like what's called the framing effect.

Framing?

Which is our choices can be swayed by just changing how the options are worded.

Really?

Yeah.

Even if the outcomes are the same.

Yeah.

It's like those classic save lives versus lose lives scenarios.

Oh, right.

So imagine there's an outbreak of a deadly disease and you have to choose between two programs.

Okay.

Program A guarantees that 200 people will be saved.

Okay.

Program B has a 13 chance of saving all 600 people.

Right.

But a 23 chance of saving no one.

Okay.

So it's risky.

It's risky.

Yeah.

Which one would you choose?

I think I would choose Program A to guarantee that at least some people would be saved.

That's what most people do.

Yeah.

Now imagine the same scenario but different wording.

Okay.

Program C states that 400 people will die.

Oh.

Program D has a 13 chance that no one will die.

Okay.

But a 23 chance that all 600 will die.

Wait a minute.

So those are the same options, right?

Same options, different wording.

Wow.

But the way it's framed.

Totally changes it.

Changes how people respond.

Yeah.

Faced with the certainty of people dying, they're more likely to gamble.

Really?

That's incredible how powerful our words are.

The power of framing.

Yeah.

Okay.

And then there's this thing called psychological accounting.

Yeah.

What is that?

How we mentally categorize our spending.

Right.

Can lead to some irrational choices.

Okay.

Like the chapter gives the example of losing a $10 bill.

Okay.

Versus losing a $10 ticket to a play.

Okay.

People are more willing to buy a new ticket if they lost the $10 bill.

Oh, that's interesting.

Even though either way they're out $20.

Yeah.

It's like they have separate mental accounts.

Right.

Entertainment, general funds.

Exactly.

That's how our brains make sense of the loss.

They try to rationalize it.

Okay.

And then, oh, the sunk cost fallacy.

Oh, yeah.

Tell me about that one.

The tendency to stick with something even when it's no longer beneficial.

Right.

Just because you've already invested time, money, or effort into it.

Like staying in a bad relationship.

That's a great example.

Yeah.

Too long.

Yeah.

Yeah.

Or watching a boring movie just because you paid for it.

Right.

You're like, I'm going to get my money's worth.

Exactly.

The chapter talks about this example of choosing between two ski trips and people choose the more expensive one.

Okay.

Even though it's less enjoyable.

Really?

Just because they've sunk more money into it.

So it's like we're trying to justify our past decisions.

We are.

Trying to make ourselves feel better.

Even when it's not the best choice anymore.

Yeah.

It's so interesting.

So there's all these calculations.

Tricky heuristics, but isn't there more to decision making than that?

Oh, absolutely.

Don't emotions play a role?

Yeah.

Emotions are huge.

Right.

Yeah.

So we're not just robots calculating the best outcome.

No, we're not.

We're driven by our feelings too.

We are.

The chapter mentions a study about decision making under stress.

Okay.

And they found that it can amplify our existing tendencies.

Oh, interesting.

So it can make us either more risk averse or more risk prone, depending on how the choices are framed.

So stress can make us even more irrational.

It can.

It can.

It can impair our ability to think clearly.

But here's a funny twist.

The chapter also discusses this study where just a touch on the shoulder from a female experimenter actually increased risk taking in participants.

Wait, what?

Yeah.

A touch on the shoulder made people take more risks.

They did.

Financial risks.

Yeah.

That's so strange.

It is.

It's a surprising finding.

But it suggests that even these subtle social cues can influence our decisions, maybe by tapping into these feelings of security or something.

So we've got all these emotions swirling around, shaping our choices in ways that we're not even aware of.

It's happening all the time.

Yeah.

Yeah.

It makes you wonder, are all of these heuristics and biases just proof that our thinking is inherently flawed?

That's a good question.

Right.

It is.

Or could there be another way to look at them?

Possibly.

Yeah.

Yeah.

Yeah, it's a good question.

And it's something that the chapter addresses.

It talks about the work of a researcher named Gerd Gigrenser, who has a more positive view of heuristics.

He argues that we shouldn't think of these heuristics as like glitches in the system, but as tools, efficient tools in our adaptive toolbox.

Our adaptive toolbox.

So instead of seeing them as mistakes, we should see them as strategies that have evolved to help us navigate a complex world.

Yeah.

Yeah.

Think about it like our ancestors didn't have the time or the resources to like carefully analyze every decision.

They needed quick, intuitive solutions to survive threats, to find food,

to make choices under pressure.

Makes sense.

And heuristics provide that, that speed and efficiency.

So instead of weighing all the pros and cons of like running from a predator, they just had to rely on their gut feeling, that quick, instinctual heuristic to get to safety.

Get out of there.

Right.

Yeah.

And we might not face the same life or death situations today, but we still live in a world that's overflowing with information and choices.

So many choices.

Yeah.

So heuristics help us sift through all of that, make decisions efficiently.

But what about those big decisions?

Right.

They're really important life choices.

Some people might say, well, heuristics are fine for like, you know, what to eat for lunch.

Yeah.

But not for like, you know, should I take this job or not?

Right.

But Jijuransaransu actually argues that heuristics can be valuable even for those big life decisions.

Okay.

Sometimes a simple heuristic can outperform a complex analysis.

So sometimes less is more.

Sometimes.

Yeah, less is more.

Okay.

I like that.

But then how do we explain all those judgment errors?

Right.

So it's true, heuristics can lead us astray.

But Jijuransaransu points out that a lot of the research that highlights those errors is done in lab settings.

Right.

Artificial.

Artificial.

In real life, they often work quite well.

Okay.

So it's like those optical illusions, again, they trick our eyes in a controlled environment, but they wouldn't fool us in the real world.

Yeah.

Yeah.

Okay.

So we need to be aware of the potential pitfalls, but not rule them out completely.

Exactly.

Don't assume they're always bad.

Okay.

So how can we actually improve our decision -making?

Good question.

Knowing all of this, that our brains are taking all these shortcuts.

Yeah.

Yeah.

So the chapter gives some suggestions.

One is to try taking an outsider's perspective.

Okay.

Right.

It's easy to get caught up in our own biases.

But asking someone else for their opinion can help you see things more clearly.

Yeah.

Get a fresh perspective, like a second opinion from a doctor.

Exactly.

Another strategy is to consider the opposite.

Right.

Force yourself to think about all the reasons why your initial decision might be wrong.

Okay.

So play devil's advocate.

Yeah.

Exactly.

To challenge those assumptions.

So if I'm about to make a big purchase, I should think of all the reasons not to buy it.

Exactly.

See if you can poke holes in your own reasoning.

Okay.

Okay.

What if you're just struggling to make a decision in general?

Then involving other people can be helpful.

Group discussions can bring more perspectives to the table.

Right.

And help mitigate individual biases.

Kind of like brainstorming, right?

Yeah.

Having more minds working on the problem can often lead to better outcomes.

Okay.

The chapter also mentioned this thing called choice architecture.

Yes.

What's that?

So this is about designing situations to nudge people towards making better choices.

Okay.

Even if they're not consciously aware of being influenced.

So you're kind of like working with system one.

Yeah.

Exactly.

Using our knowledge of heuristics and biases to our advantage.

Interesting.

Instead of trying to fight those automatic responses, we can try leverage them.

Exactly.

For better choices.

Exactly.

Like rearranging the food in a cafeteria.

Oh, okay.

So healthier options are more prominent.

People might choose them without even realizing.

Exactly.

Clever.

So to wrap it all up, seems like the key to good decision making is finding that balance.

It is.

Between intuition and analysis.

Yeah.

Knowing when to trust your gut.

Right.

And when to slow down, think things through.

Exactly.

And that means understanding both the strengths and weaknesses of those two systems.

Right.

System one and system two.

System one and system two.

We got to be aware of the biases and heuristics that can trip us up.

Right.

But also recognize that they can be valuable tools in the right situations.

Yeah.

It's about finding that sweet spot.

The sweet spot.

Yeah.

This has been an incredible deep dive.

It has.

We've learned so much.

We have.

About how our minds work.

Reasoning, judgment, decision making.

Yeah.

The biases, the heuristics.

And those mental shortcuts.

It's amazing how much is happening under the surface.

Yeah.

It's really incredible.

The human mind is such a complex and fascinating thing.

It is.

And there's always more to learn.

There's always more to explore.

So before we wrap up, one final thought to ponder.

Have you ever found yourself sticking with something?

Oh yeah.

A project, a job, a relationship.

Yeah.

Even when it was clearly not working.

Just because you had already invested so much time or money or effort.

The sunk cost fallacy.

The sunk cost fallacy.

In action.

In action.

Right.

Or maybe you've noticed the framing effect at work.

How a simple change in wording can shift your entire perspective.

It's powerful stuff.

It is.

And what about that hot hand phenomenon?

Do you believe in streaks of luck?

Or is it just our minds trying to find those patterns and randomness?

It makes you think.

Right.

Keep those questions in mind as you go about your day.

Yeah.

Because paying attention to how these things play out in your own life.

Exactly.

That's the best way to continue this exploration.

It is.

Keep learning.

Thank you so much for joining us.

Thanks for having me.

On this incredible journey into the mind.

I hope this deep dive has given you a new appreciation for that amazing world inside your own head.

Absolutely.

And until next time, stay curious.

Yeah, that's a good question.

And the chapter kind of brings up this researcher, Gerd Gejernser.

Okay.

And he has kind of a more positive view of heuristics.

He says we shouldn't think of them as glitches.

Okay.

But as tools.

Okay.

Efficient tools in our adaptive toolbox.

Our adaptive toolbox.

So instead of seeing them as these mistakes, we can see them as strategies that have evolved.

Exactly.

Help us navigate this crazy world.

Yeah, think about it.

Our ancestors,

they didn't have the time or resources to analyze every single decision.

They needed to make quick, intuitive solutions to escape threats,

find food, make choices under pressure.

Right.

Heuristics provided that speed and efficiency.

So instead of weighing the pros and cons of whether to run from a predator, it was just like gut feeling, go.

Go, go, go.

That instinct.

Yeah.

And we may not face those same life or death situations today, but our world is still overflowing with information and choices.

So heuristics help us make sense of all that.

Okay.

But some people might say, well, heuristics are fine for everyday decisions.

You know, like, what am I going to have for lunch today?

Right, right.

But for those big life decisions, you know, should I take this job?

Yeah.

Should I move?

Should I get married?

Right.

But Judger Ansor actually argues that heuristics can be valuable for those big decisions as well.

Okay.

He says sometimes a simple heuristic can actually outperform a really complex analysis.

Less is more.

Sometimes less is more.

Yeah.

Okay.

So then if they're so great, why do we make so many errors in judgment?

Right.

Well, it's true.

They can lead us astray.

But Judger Ansor points out that a lot of that research is done in labs.

Oh, right.

In artificial environments.

Okay.

But in the real world, they often work really well.

Yeah.

So it's like those optical illusions.

You know, they trick our eyes in a controlled environment, but in the real world, we wouldn't be fooled.

Exactly.

Okay.

So be aware of the potential pitfalls, but don't automatically assume they're bad.

Right.

Okay.

So knowing all of this, how can we actually improve our decision making?

Well, the chapter has a couple of suggestions.

Okay.

One is to try and take an outsider's perspective.

Okay.

It's easy to get caught up in our own biases.

Right.

But if you ask someone else for their opinion, they might be able to see things more clearly.

Like getting a second opinion from a doctor.

Another strategy is to consider the opposite.

Okay.

Force yourself to think of all the reasons why your initial decision might be wrong.

So like play devil's advocate.

Exactly.

Challenge those assumptions.

So if I'm about to make a big purchase,

think about all the reasons not to do it.

Exactly.

What if I'm just like really struggling to make a decision?

Yeah.

Well, involving other people can be helpful.

Group discussions bring in more perspective.

Right.

And it can help to kind of like water down the individual biases.

Yeah, like brainstorming.

Yeah, exactly.

Brainstorming.

Get those creative juices flowing.

Exactly.

So more minds working on the problem, you might end up with a better solution.

Okay.

And the chapter mentions this thing called choice architecture.

Yeah.

What is that all about?

So it's about designing situations to nudge people towards making better choices.

Okay.

Even if they're not aware of it.

Subconsciously.

Subconsciously.

Yeah.

Yeah.

So kind of working with system one.

Exactly.

Use our knowledge of heuristics to our advantage.

Oh, interesting.

Right.

Instead of trying to fight those automatic responses, work with them.

Okay.

Like they give the example of rearranging the food in a cafeteria.

Okay.

So healthier options are more prominent.

Ah.

So people might choose them.

Without realizing it.

Exactly.

It's a nudge.

A nudge.

A little nudge.

Okay.

So it seems like the key here is finding that balance, right?

It is.

Between intuition and analysis.

Yeah.

Knowing when to trust your gut.

Right.

And when to slow down and think things through.

Exactly.

Okay.

And that all comes back to understanding the strengths and weaknesses.

Right.

Of those two systems.

System one and system two.

System one, system two.

Being aware of the biases, the heuristics that can trip us up.

Yeah.

But also recognizing that they can be valuable tools.

Right.

In certain situations.

Okay.

Find that sweet spot.

Yeah.

The sweet spot.

Wow.

This has been an amazing deep dive.

It really has.

I feel like we learned so much about how our minds work.

It's fascinating, isn't it?

It really is.

Yeah.

All the way from the basics of reasoning and judgment and decision making to like, you know, all these biases and heuristics.

The mental shortcuts.

It's just amazing how much is happening in our brains all the time.

Under the surface all the time.

Yeah.

Yeah.

The human mind is really incredible.

So before we wrap things up, one last thought to ponder.

Okay.

Have you ever found yourself sticking with something?

Mmm.

A project.

A job.

A relationship.

Uh -huh.

Even when it was clearly not working.

Yeah.

Because you'd already put in so much time, money, or effort.

Classic sunk cost fallacy.

Right.

The sunk cost fallacy.

There it is.

Or maybe you've seen that framing effect.

Yeah.

You know how just the wording of something can change your whole perspective?

Yeah.

It's powerful.

And what about the hot hand phenomenon?

Do you believe in streaks of luck?

Or is it just our minds trying to find those patterns in randomness?

Tough questions.

Keep those in mind as you go about your day.

Yeah.

Pay attention.

Because really paying attention to how these things show up in your own life.

Right.

That's how you can keep learning and exploring.

Exactly.

Keep that curiosity going.

Thank you so much for joining us on this incredible journey into the mind.

Thanks for having me.

I hope this deep dive has given you a new appreciation for that amazing world inside your own head.

Me too.

Until next time, stay curious.