PTENES
TRACK 1

🧠 The Brain That Decides

From Kahneman to cognitive biases: how the human brain processes information, creates mental shortcuts, makes systematic errors, and deals with internal contradictions.

4

Modules

24

Topics

~2h

Duration

Foundation

Level

PERCEPTION sensory stimulus patterns, emotions SYSTEM 1 fast, automatic emotional, parallel ~95% of decisions fast path Does S1 fail? SYSTEM 2 slow, deliberate conscious, serial slow path DECISION behavior BIASES + HEURISTICS systematic errors

Learning path map

1.1 ~30 min

🧠 System 1 and System 2

Kahneman's dual-system model explains why we think too fast

1.2 ~30 min

⚡ Heuristics: the shortcuts that mislead

Availability, representativeness, and anchoring: when mental shortcuts mislead us

1.3 ~30 min

🗺️ Cognitive Biases

Confirmation, Halo, and Dunning-Kruger: the map of errors we all make

1.4 ~30 min

🔄 Cognitive Dissonance

Festinger and the discomfort of living with contradiction: why change is so difficult

Detailed content

1.1

System 1 and System 2: Two Ways of Thinking

Daniel Kahneman (2011) · 6 topics

What is

The theory that the brain operates in two distinct modes: one fast and automatic (System 1), the other slow and deliberate (System 2). Proposed by Kahneman and Tversky based on decades of experiments.

Why learn

Understanding this distinction is the foundation for understanding all the biases and judgment errors we’ll study in this course.

Key concepts

Dual processing, automaticity, cognitive effort, selective attention.

What is

Automatic, involuntary, emotional, and parallel processing. Operates in milliseconds, recognizing patterns, faces, and threats. Responsible for ~95% of everyday decisions.

Why learn

Most cognitive errors come from S1 operating in situations that would require S2.

Key concepts

Intuition, associative memory, WYSIATI ("what you see is all there is"), unconscious processing.

What is

Slow, sequential, conscious, and deliberate processing. Requires attention and energy. It is inherently lazy: tends to accept what S1 proposes without checking.

Why learn

Knowing that S2 is limited and fatigable explains why decisions get worse throughout the day.

Key concepts

Focused attention, working memory, ego depletion, cognitive fatigue.

What is

S1 generates impressions, intuitions, and impulses. S2 monitors (weakly) and can veto. When S1 encounters something it can't resolve, it activates S2. But S2 isn't always activated in time.

Why learn

The failure of this interaction is the root of biases: S1 decides quickly, and S2 lazily endorses the decision.

Key concepts

Attribute substitution, associative coherence, cognitive laziness, faulty monitoring.

What is

Marketing exploits S1 (emotional images, .99 prices, music). Poor financial decisions result when S1 acts where S2 should. Judges hand down harsher sentences after hours of work.

Why learn

Recognizing when S1 is being exploited is the first step toward better decisions.

Key concepts

Priming, framing, decision fatigue, nudge (introduction).

What is

Kahneman, an Israeli-American psychologist, received the Nobel Prize in Economics in 2002 for demonstrating that humans are not rational agents. His book "Thinking, Fast and Slow" (2011) synthesizes decades of research with Amos Tversky.

Why learn

Provide context on the intellectual origins of the dual model and understand the academic and practical impact of these findings.

Key concepts

Economic psychology, Prospect Theory, bounded rationality, Kahneman-Tversky contribution.

1.2

Heuristics: the shortcuts that mislead us

Kahneman & Tversky · 6 topics

What is

Simplified mental strategies the brain uses to make quick decisions under uncertainty. They’re evolutionary adaptations, not "bugs".

Why learn

They are the bridge between S1 (which operates through shortcuts) and biases (which are shortcuts applied in the wrong contexts).

Key concepts

Adaptive heuristics, ecological rationality, Gigerenzer vs. Kahneman.

What is

We estimate the probability of something by how easily examples come to mind. After shark attack stories, we overestimate the risk (lightning kills more people). Social networks exploit this.

Why learn

Governments, media, and platforms manipulate availability to distort risk perception.

Key concepts

Retrieval fluency, salience bias, disproportionate fear, media as an amplifier.

What is

We classify by resemblance to a prototype, ignoring statistics. “Shy, organized Steve” seems like a librarian, but there are more farmers in the world.

Why learn

Causes people to overestimate stereotypes and ignore base rates, leading to prejudice and mistaken judgments.

Key concepts

Base rate neglect, conjunction fallacy, Linda problem, stereotyping.

What is

The first number we see anchors all subsequent evaluations. Roulette experiment: those who spun 10 estimated 25 African countries in the UN; those who spun 65 estimated 45.

Why learn

Negotiations, prices, salaries: whoever anchors first controls the outcome.

Key concepts

Anchoring effect, insufficient adjustment, decoy pricing, first bid.

What is

We judge risks and benefits based on feelings, not data. If something seems good to us, we minimize the risks. If it seems bad, we exaggerate the dangers.

Why learn

Explains investment decisions, support for public policies, and acceptance of technologies based on “gut feeling.”

Key concepts

Affect heuristic, emotional evaluation, perceived vs. actual risk, Paul Slovic.

What is

Heuristics are efficient in stable, familiar environments (an experienced firefighter “senses” danger). They fail in complex, unfamiliar environments or when feedback is delayed (financial markets, politics).

Why learn

Knowing how to distinguish contexts where heuristics are appropriate from those where they aren't is the metacognition that separates good decisions from terrible ones.

Key concepts

High- and low-validity environments, expert intuition, feedback loops, strategic deliberation.

1.3

Cognitive biases: the map of systematic errors

Kahneman, Dunning, Kruger · 6 topics

What is

Systematic patterns of deviation from rationality. They are not random: they are predictable, universal, and persistent even when we know they exist.

Why learn

Mapping biases is the first step toward building countermeasures (debiasing).

Key concepts

Bias vs. noise, systematic error, bias taxonomy, codex of cognitive biases.

What is

Searching for, interpreting, and remembering only what confirms existing beliefs. The brain releases dopamine when beliefs are confirmed; dissonance causes discomfort that we avoid.

Why learn

Social media algorithms amplify confirmation bias, creating epistemic bubbles (Bruzzo).

Key concepts

Selective exposure, selective interpretation, selective memory, filter bubbles.

What is

One positive trait (beauty, status) influences the perception of all the others. Texts were rated as more intelligent when the author's photo was attractive.

Why learn

Affects hiring, elections, legal judgments, and product evaluation.

Key concepts

Halo effect, horn effect (reverse), first impressions, competence attribution.

What is

Those who know little overestimate their competence; those who know a lot underestimate it. Incompetence impairs metacognition. Russell: “idiots full of certainty, intelligent people full of doubt.”

Why learn

Social media gave a megaphone to the phase of maximum confidence with minimum competence.

Key concepts

Metacognition, 4 stages of competence, illusion of superiority, calibration.

What is

The same information leads to opposite decisions depending on how it's presented. "90% survival" sounds better than "10% mortality," even though they are identical.

Why learn

Framing is one of the most powerful tools of manipulation, used by politicians, salespeople, and algorithms.

Key concepts

Positive/negative framing, default bias, opt-out option, information architecture.

What is

Recommendation algorithms intensify existing biases by creating epistemic bubbles. Bruzzo: platforms don’t create biases, but they turn them into permanent infrastructure.

Why learn

The convergence of cognitive biases and technology is the central theme of this course and Track 6.

Key concepts

Filter bubbles, echo chambers, algorithmic feedback loops, digital polarization.

1.4

Cognitive dissonance and behavior change

Leon Festinger (1957) · 6 topics

What is

A state of psychological discomfort when beliefs, attitudes, or behaviors contradict one another. Festinger (1957) showed that humans are motivated to reduce this internal tension.

Why learn

Dissonance is the hidden engine behind rationalization, denial, and resistance to change.

Key concepts

Dissonance, cognitive consistency, motivation for balance, psychological tension.

What is

4 strategies: change behavior, change beliefs, add reconciling cognition, or reduce the perceived importance of the conflict.

Why learn

Knowing how the brain "resolves" contradictions reveals why people rationalize instead of changing.

Key concepts

Rationalization, minimization, reconciliation, attitude change.

What is

Participants paid $1 to lie ("the task was fun") genuinely changed their opinions; those paid $20 did not. At $1, the dissonance was unbearable: "I lied for almost nothing" forced a change in belief.

Why learn

Demonstrates the paradox: SMALLER rewards lead to GREATER attitude change.

Key concepts

Insufficient justification, internalization, the induced-compliance paradigm.

What is

Informing people about risks fails because it activates defenses against dissonance. Effective strategies: public commitment, small steps, identity change ("I'm healthy" vs. "I'm trying to quit smoking").

Why learn

To persuade genuinely, you need to understand that the path is not information, but identity.

Key concepts

Narrative identity, foot-in-the-door, public commitment, micro-habits.

What is

Fans of leaders rarely change their minds in the face of scandals: they rationalize, minimize, and discredit sources. This explains the resilience of political bases to contrary evidence.

Why learn

Understanding why “facts don’t change opinions” is essential for effective communication and political analysis.

Key concepts

Backfire effect, tribal motivation, social identity, motivated reasoning.

What is

Digital platforms reduce exposure to dissonance by filtering out dissonant content. The result: defenses against dissonance grow stronger, and polarization increases.

Why learn

Connects Festinger (1957) with the contemporary debate about algorithmic polarization (Bruzzo, Sunstein).

Key concepts

Filter bubble, echo chamber, comfort algorithm, asymmetric polarization.

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