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The brain lies as naturally as it breathes. The inconvenient truth that we choose 'comfort' over 'correctness': AI Book Review of 'Encyclopedia of Cognitive Biases for Correct Information Selection: Behavioral Economics, Statistics, and Informatics Edition'

When you open your social media timeline,
voices condemning someone's slip of the tongue, absurd conspiracy theories, and unsettling news headlines flood in, one after another.

"Why do people believe such misinformation?"
"Can't these people see the facts?"

You've surely wanted to mutter that at least once, haven't you?
Perhaps, deep down, you might even feel that "I am making objective judgments properly."

But—what if that very "confidence" is the most dangerous trap of all?

In the first place, our brains were designed during the evolutionary process to
prioritize "surviving for the time being (i.e., saving energy and maintaining a state of security)"
over "understanding the truth accurately."

In other words, our brains have a built-inslight tendency to slack off.
We unconsciously choose easy-to-understand, comforting stories or interpretations that suit us over complex and difficult-to-handle facts.
The distortion of thinking that arises as a result is what is called a "cognitive bias."

The book I am introducing this time,
'Encyclopedia of Cognitive Biases for Correct Information Selection: Behavioral Economics, Statistics, and Informatics Edition',is a volume that carefully unravels more than 60 cognitive biases lurking in our brains, along with concrete examples.

"What parts of the information flowing on social media should I doubt?" "Where is my own thinking prone to bias?"
I think it is fair to call this a book that you can use like a dictionary to check for those hints.

The reality this book confronts us with is, honestly, quite shocking.

We think we are seeing the world "as it is,"
but in reality, we are merely seeing "the world we want to believe it is."

Even the "intuition" we rely on is, in many cases, not sharp sensitivity,
but actually a shortcut for the brain to slack off (heuristic).

Furthermore, while internet recommendation features may seem convenient,
they quietly lock you into a small room called a "filter bubble."

In this note, from the vast amount of analysis appearing in this book,
I will select and introduce several "thinking traps" that we living in the present are particularly prone to falling into.

Why do even intelligent people misread information?
How can we make slightly better choices without being swayed by the media or the emotions of the moment?

The key to this is not flashy "techniques for seeing through things."
Rather, it is the "intellectual humility" of accepting the premise that "my brain makes mistakes this easily."

With the feeling of quietly updating your "thinking OS,"
I would be happy if you could accompany me on this small journey for a little while.



1. Introduction: Our brains and the unbalanced information environment

We currently live surrounded by more "information" than at any time in history.
Social media, news sites, videos, emails, chats...
The amount of information that enters our eyes and ears in a single day is, from the perspective of humanity in the hunter-gatherer era, almost at a "storm" level.

The 2022 publication
'Encyclopedia of Cognitive Biases for Correct Information Selection: Behavioral Economics, Statistics, and Informatics Edition'(hereinafter referred to as "this book") explains how our brains misunderstand and what kind of pitfalls they are prone to falling into amidst this "flood of information."

  • Behavioral Economics (human decision-making habits)

  • Statistics (misreading numbers and probabilities)

  • Informatics (how technology and algorithms work)

This is a book that unravels these topics through these three lenses.

The important point here is not that "we are stupid and therefore make mistakes," but rather
the observation that

the brain itself is inherently designed to prioritize 'comfort' and 'energy conservation' over 'correctness'

is the point being made.

The hunter-gatherer brain was optimized for "reacting quickly to survive for the time being" rather than "thinking carefully to reach the truth."
Modern humans are being thrown into a high-speed, high-density digital environment while still possessing that "energy-saving design
energy-saving design."

In this article, we will focus on
those that are particularly prone to causing problems in the modern internet environmentout of the more than 60 cognitive biases that appear in this book, while also

  • why even intelligent people misread information

  • how to become less easily swayed by emotions and the media

we will organize these points.

The key is not flashy "detection techniques," but rather
the intellectual humility to accept the premise that 'my brain makes mistakes in this way'.



2. Behavioral Economics Perspective: The Brain's 'Lazy Mode' and Distortions

2-1. Dual Process Theory and 'Cognitive Miser'

Behavioral economics roughly divides human thinking modes into two types.

  • System 1: Intuitive, automatic, and fast. A mode for making quick judgments without much thought

  • System 2: Logical, conscious, and slow. A mode for thinking carefully using one's brain

This is the Dual Process TheoryDual Process Theory made famous by Kahneman's 'Thinking, Fast and Slow'.

What this book emphasizes is that

humans are fundamentally 'Cognitive Misers'—creatures that want to think as little as possible.

Our brains do not want to expend energy whenever possible, so they prefer not to activate the high-effort System 2.
Instead,
they try to handle everything that can be processed crudely by System 1 using that system instead.

What this 'brain's habit of slacking off' creates is heuristics (mental shortcuts), and many cognitive biases stem from there.

The current internet environment is, to put it bluntly, an amusement park designed to please System 1.

  • Information appears with a single click

  • Short, stimulating headlines are lined up

  • Immediate judgment is required (likes, RTs, comments...)

As a result,
the opportunity for the slow-thinking System 2 is increasingly being taken away, which is the structure we are in.


2-2. Self-justification and 'Biases to Protect Beliefs'

The brain will readily distort facts to 'protect its own beliefs and pride.'
Here are the representative biases that appear in this context.

Confirmation Bias

This is the most famous and most troublesome bias.

  • Collecting only information that supports one's own ideas

  • Ignoring, disbelieving, or downplaying opposing information

For the brain, admitting that 'I was wrong' is unpleasant and consumes energy.
Therefore, it cheats by starting with

collecting information under the premise that 'I am right'

.
The fact that SNS timelines become solidified with opinions identical to one's own is precisely the result of this.

Cognitive Dissonance

That unpleasant, fuzzy feeling that arises when you are confronted with facts that contradict your own beliefs.

To eliminate that discomfort, people often take actions like these.

  • Denying the facts themselves
    → 'That news is fake'

  • Twisting the interpretation
    → 'This is a conspiracy' or 'The real information is being hidden'

Just like the 'sour grapes' in Aesop's fables, devaluing something you cannot obtain follows the same structure.

Normalcy Bias & Ostrich Effect

When encountering critical information,

  • 'I'll be fine'

  • 'It can't be that big of a deal'

This is the habit of unconsciously downplaying the situation.

It is famous as a cause for delayed evacuation during disasters, but in the world of information, it manifests as an attitude of dismissing warnings about pandemics or economic crises as 'fear-mongering.'
It is the 'ostrich burying its head in the sand' state of looking away from things you do not want to see.


2-3. Biases that distort the evaluation of time and money

Next is the distortion surrounding 'cost-benefit analysis.'

Loss Aversion and Status Quo Bias

For the same amount of money, it is said that people feel

  • the joy of gaining 10,000 yen
    less than

  • the pain of losing 10,000 yen

about2 to 2.5 times more intensely.

When this trait becomes strong,

  • new actions = seen as 'the risk of losing what I currently have'

  • as a result, 'maintaining the status quo' looks like the best option

This is the state that occurs.

The same applies to the world of knowledge and information,

  • “I don't want to discard knowledge I learned long ago”

  • “I'm afraid to change my way of thinking”

we feel, and it works in a direction that avoids updates.

Sunk Cost Effect

A phenomenon where you become unable to make rational decisions because you are dragged down by money, time, and effort you have already spent.

  • It's a boring movie, but I've watched it halfway through, so I'll watch it to the end

  • It's a project that seems doomed, but I can't quit because 'I've come this far'

Even in reading,

“It's not interesting at all, but I've read this far, so I'll finish it just in case...”

that is the one we end up doing.
In reality, 'future time' is far more valuable, yet we throw more time into time that has already been lost.

Present Bias

  • Large future benefits
    (health, savings, knowledge)

  • Small immediate pleasures
    (sweets, impulse buying, one more video)

when weighing these,the tendency to lean toward immediate pleasureis a habit.

In the world of information,

  • Deep learning and fact-checking → Future benefits but painful

  • Flashy headlines and stimulating content → Feels good right now

becomes the composition, and
we inevitably tend to be swept toward 'easy information consumption'.


3. Statistical Perspective: We Are Not Reading Numbers and Probabilities as Well as We Think

Another pillar of this book is the discrepancy in our intuition regarding numbers and probabilities.
The human brain is truly poor at handling probability.

3-1. Judging Probability Based on 'Feeling'

Gambler’s Fallacy

That feeling you get when you flip a coin and get 'heads' five times in a row,
thinking, 'It’s about time for tails to come up.'

In reality, the next flip is always 50% heads and 50% tails, yet
our intuition 'wants to balance things out somehow.'

The misunderstanding of the
'Law of Small Numbers', where we force patterns out of small samples, is of the same type.

'Three people around me say so, so it must be true for the world at large'

—this type of reasoning is exactly this trap.

Survivorship Bias

This is the bias of talking about 'laws of success' by looking only at cases that went well.

  • 'Successful people all do this'

  • 'Pass the University of Tokyo entrance exam with this study method!'

Behind stories like these,

  • people who did the same thing but didn't succeed

  • people who dropped out along the way

are completely left out.

This is also why business books and self-help books tend to become 'histories of the winners.'

Regression to the Mean

This is the phenomenon where, after an extreme result, things naturally return to 'normal'.

  • Got an exceptionally high score by chance → Returned to a normal score next time

  • Had a major failure by chance → Did normally next time

And yet,

  • “They slacked off because I praised them”

  • “They reflected because I scolded them”

We see a dramatic causal relationship there. In reality, there are many cases where it is just a statistical fluctuation.
In reality, there are many cases where it is just a statistical fluctuation.


3-2. We tend to assume 'correlation equals causation'

This is the most common misunderstanding in the world of statistics.

“They increased (or decreased) together = one must be the cause”

This is a hasty conclusion.

Spurious Correlation

For example,

  • Ice cream sales

  • Number of drowning accidents

increase and decrease together. However, the cause is not 'ice cream' but 'temperature.'
However, the cause is not 'ice cream' but 'temperature.'
Like this, a third factor is just moving both, but it looks as if there is a direct causal relationship; this is called a spurious correlation.

Health news articles like

  • “Eating XX extends your lifespan”

  • “Doing △△ lowers cancer risk”

can also actually be caught in this trap.

Simpson’s Paradox

This is a reversal phenomenon where, although A looks better when looking only at the overall average,
when looking at it divided by conditions,B is better in every group.

  • Hospital A: The overall treatment success rate is high

  • But when looking at it by severity, Hospital B has better results for both mild and severe cases (this can happen, for example, if Hospital A had many mild patients).

...cases like this are typical.

It is a phenomenon that symbolizes the 'danger of judging by looking only at averages,' and it serves as a lesson that when looking at data, one must always check the 'breakdown' and 'prerequisites'.


4. Informatics Perspective: Technology Boosts Bias

The final pillar is a discussion regarding the 'flow of information itself'.
This is a point unique to the modern era.

4-1. 'Individual Realities' Created by Algorithms

Filter Bubble

Algorithms on social media and search engines,

  • based on your past behavior

  • and your attributes/interests

, preferentially show you 'information you are likely to enjoy'.

While this is convenient, it also carries the danger of
being trapped inside a small bubble where 'you only see the world you want to see'.

This book

warns that filter bubbles have become a mechanism that 'automates and reinforces' confirmation bias

.
This is because opportunities to encounter different opinions or inconvenient truths are reduced,
regardless of the individual's own intentions.

Echo Chamber

This is a space where people with similar ideas gather and reinforce each other's opinions.

  • Dissenting opinions are excluded

  • Likes and shares increasingly amplify the same opinions

  • The language gradually becomes more extreme

In this way, opinions that were initially mild
can, before you know it, turn into aggressive and extreme claims.

Cyber Cascade

This is a phenomenon where specific opinions or online outrages
spread all at once like an 'avalanche'.

  • 'Because everyone is saying so'

  • 'Because that's the way the wind is blowing'

Conformity pressure like this accelerates when combined with the spreading power of algorithms.
It is a structure where it becomes easier to go with the 'flow' than to make individual judgments.


4-2. UI/UX quietly sways our hearts

Information is not just about 'what is written,' but alsohow it is presentedwhich changes how it is received.

Framing Effect

This is the phenomenon where, even if the content is the same, the impression changes depending on how it is phrased.

  • 'A surgery with a 90% survival rate'

  • 'A surgery with a 10% mortality rate'

The meaning is the same, but the impression you get is completely different, isn't it?

News headlines and advertising copy are bundles of this 'frame selection'.

Try rephrasing it the opposite way → You can calm your emotional sway a little

This is a simple countermeasure proposed by this book.

Priming Effect

This is where words or images you encountered earlier influence your subsequent judgments without you realizing it.

Just by having words like 'suspicion' or 'tragedy' in a headline,
even if the body text is neutral, we begin reading it in a negative context.

The site's colors, photos, and order can all serve as 'primers'.

Availability Heuristic

This is the habit of mistakenly thinking that information we can recall easily happens more frequently.

  • News of a plane crash → Leaves a vivid memory

  • Daily traffic accidents → Less likely to leave an impression

As a result, even though cars are statistically much more dangerous,
we end up fearing planes more.

Media reporting frequency does not match actual occurrence frequency.
Whether or not you can be conscious of this significantly changes the quality of your risk assessment.


5. What happens when biases 'combine'?

What makes this book interesting is that it
doesn't just explain individual biases and stop there.

In the real world, biases intertwine,
creating even more troublesome phenomena.

5-1. Why even smart people fall for conspiracy theories

For example, what supports conspiracy theories generally follows this flow:

  1. Runaway pattern recognition (Clustering illusion)
    → Seeing meaningful connections between unrelated events

  2. Confirmation bias × Filter bubble
    → Only information that supports one's own hypothesis flows in one after another

  3. Dunning-Kruger effect
    → Amateurs are actually more likely to overconfidently believe they 'know the truth'

  4. Backfire effect
    → The more one is countered, the more one's beliefs harden

In this way, conspiracy theories become a
self-contained worldviewthat does not accept correction from the outside.

5-2. The 'illusion of understanding' creates hostility toward experts

Another important concept is the
'Illusion of Explanatory Depth'.

Humans have a habit of

thinking they understand something even when they don't properly grasp the mechanism.

that is.

After just a quick search on a search engine and reading a few articles, we can easily form 'our own opinions' on things like

  • the pros and cons of economic policy,

  • how vaccines work,

  • or solutions to energy problems.

When this 'illusion of understanding' is linked to distrust of experts and aggression, simple populist rhetoric becomes easier to support.

5-3. Why negative information tends to go viral

Humans react more strongly to negative information, such as
danger, anger, and fear,than to positive information. This is the
negativity bias.

Platforms operate their businesses based on

  • how long they can keep you glued to the screen
    (attention economy).

Consequently, content that generates 'anger' or 'conflict' is inevitably more likely to be prioritized.

In other words,

the multiplication of our brain's biases × the platform's business model

means that the online space is structurallyoptimized toward the negative.This is a problem that cannot be solved by individual effort alone.


6. Highlights of the book: 'Watchwords' for correcting your thinking

I will pick out a few phrases from the book that have been highlighted by many readers, along with their meanings.

On 'how we see the world'

'We do not see the world as it is, but rather as we want to see it.
'

The world you see is not 'fact,' but merely
an edited video with filters.
It is a powerful counter to naive realism (the illusion that you alone are objective).

On the 'design philosophy of the brain'

The brain has evolved to prioritize 'survival' (energy conservation and the elimination of anxiety) over knowing the 'truth'.

Bias was not a 'defect,' but a 'specification.'
However, this sentence strikes at the paradox that in today's society, those specifications frequently malfunction.

On 'intuition'

Intuition is often nothing more than a 'hasty conclusion' based on past rules of thumb.

This draws a line between the polished intuition of an expert and
everyday 'gut feelings.' Especially when it comes to statistics and probability, intuition will betray you with high frequency.

On 'statistical literacy'

“'Average' does not necessarily mean 'normal.'
'Correlation is not causation.'

The minimum rules for looking at data.
Averages alone deviate from lived experience, and
just because things move together does not mean one is the cause of the other.

On 'how to engage with information'

Seeking out information that contradicts your own opinion is the only way to correctly select information.

This is the most difficult prescription to follow, yet the most effective.
Daring to encounter 'unpleasant information' to shake up your own thinking.
This is close to the scientific stance of 'falsifiability.'

Information must be considered by separating 'facts' from 'opinions.'
However, much information is 'opinion disguised as fact.'

Within news and commentary articles,

  • how much is raw data (fact)

  • and where the writer's interpretation (opinion) begins

is something to consciously separate while reading.
Adjectives and sensational headlines almost always contain 'opinions.'


7. Conclusion: The greatest weapon is 'intellectual humility'

As we have seen so far,
more formidable than fake news or biased media on the outside is
the bias that lives within yourself.

The more than 60 biases listed in this book

  • how irrational we are,

  • how easily we are manipulated,

  • and how confidently we are wrong

are all laid bare.

However, the author's message is not a pessimistic one.

"While biases cannot be eliminated, we can know of their existence and learn to live with them.
The prerequisite for this is intellectual humility."

is the stance taken.

7-1. Three Habits for Updating Your Mental OS

If we condense the contents of this book into a form that can be used in daily life,
it can be broken down into the following three habits.

  1. Intentionally activate System 2

    • Take a beat, especially when you feel strong anger, anxiety, or excitement

    • Try doubting yourself once by thinking, 'This might be my own bias'

  2. Ask, 'Why is this information here, right now?'

    • Who is spreading this information, and with what intent?

    • Why did the algorithm show this to me now?

    • How are the numbers presented, and what is the framing?

  3. Dare to expose yourself to information that contradicts your own position

    • Treat opposing opinions not as an 'enemy,' but as 'material to broaden your perspective'

    • Have the courage to 'reserve judgment' on topics that cannot be clearly defined as black or white

This book is
more than just an 'encyclopedia of biases'; it is
a practical manual for debugging and updating your mental OS.

You cannot eliminate bias entirely.
Even so,

  • knowing the names

  • understanding the mechanisms

  • and occasionally doubting yourself

—with just this attitude,
you will be able to swim much more effectively even in the flood of information.


A rough summary of today's key points

  • Our brains are designed to prioritize 'energy conservation' and 'peace of mind' over 'truth.'

  • Typical 'traps of thought' are organized from the three perspectives of behavioral economics, statistics, and informatics.

  • Biases do not act individually; when combined, they create social phenomena such as conspiracy theories and polarization.

  • The greatest weapon is having the intellectual humility to assume that 'my brain is perfectly capable of being wrong.'

  • Building on that, three habits—1) pausing for a moment, 2) questioning the background of information, and 3) daring to look at opposing opinions—lead to an update of your mental OS.

Book Official Information, Structure, and Table of Contents

  • Forest Publishing Official Page I confirmed the official structure of the book (a three-part structure covering behavioral economics, statistics, and informatics) and the list of 60 included biases (anchoring, sunk cost fallacy, mental accounting, etc.). https://www.forestpub.co.jp/author/jouhoubunkakenkyujo/book/B-2064

  • Kinokuniya Web Store I referred to the detailed table of contents (availability heuristic, survivorship bias, filter bubbles, etc.) and the author's profile information. https://www.kinokuniya.co.jp/f/dsg-08-EK-1356280

  • AtPress (Press Release) Referenced the book overview, the supervisor's preface, and the central message that 'the more you think you won't be deceived, the more dangerous you are.'https://www.atpress.ne.jp/news/339115

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