Vianega Knowledge Base

A library for thinking under uncertainty.

Cognitive biases, tail risks, antifragility, decision protocols. Vladyslav's practical notes on Kahneman and Taleb - turned into a searchable system for better decisions.

Three pillars
Concepts

Concepts and mental models

43 concepts
KahnemanMental model

System 1 & System 2

Two modes of thinking: System 1 is fast, automatic, associative; System 2 is slow, deliberate, effortful.

Open concept
KahnemanBias

WYSIATI - What you see is all there is

We build confident conclusions from the small slice of information available, ignoring what we don't know.

Open concept
KahnemanBias

Cognitive ease

When information feels easy to process - familiar, clear, repeated - we trust it more, even when it's wrong.

Open concept
KahnemanHeuristic

Question substitution

When a question is hard, the mind silently answers an easier related question instead - and reports the answer as if it answered the original.

Open concept
KahnemanHeuristic

Availability heuristic

We judge how common or likely something is by how easily examples come to mind.

Open concept
KahnemanBias

Anchoring

Any number you see first quietly pulls every subsequent estimate toward it - even when the anchor is irrelevant or random.

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KahnemanBlack SwanMental model

Base rate (and base-rate neglect)

The background frequency of something across the relevant population - and the chronic mistake of ignoring it in favour of vivid specifics.

Open concept
KahnemanBias

Planning fallacy

We chronically underestimate how long things will take, how much they will cost, and how much can go wrong.

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KahnemanMental model

Outside view

Estimate by treating your case as a member of a reference class of similar past cases - not by reasoning from inside your specific story.

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KahnemanMental model

Inside view

Estimating a case by reasoning from inside its own story and details - usually too optimistic, usually overconfident.

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KahnemanPrinciple

Loss aversion

Losses hurt about twice as much as equivalent gains feel good. We will work harder to avoid losing $100 than to gain $100.

Open concept
KahnemanBias

Framing effect

How a choice is described changes which option people pick - even when the underlying outcomes are mathematically identical.

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KahnemanMental model

Regression to the mean

Extreme observations are usually followed by less extreme ones, regardless of any intervention. Mistake regression for causation and you'll see patterns that aren't there.

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KahnemanBlack SwanBias

Overconfidence

We are systematically more certain than we should be, especially about predictions and our own judgment.

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KahnemanMental model

When expert intuition can be trusted

Two conditions: a regular, predictable environment AND fast, clear feedback. Only when both hold can intuition become genuinely reliable.

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KahnemanBlack SwanBias

Narrative fallacy

We turn messy reality into clean stories. Stories explain in hindsight but predict almost nothing.

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Black SwanMental model

Black Swan

A rare, high-impact event that is unpredictable beforehand and feels obvious afterwards.

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Black SwanMental model

Mediocristan

Domains where no single observation dramatically changes the total - physical attributes, repeating natural processes, well-bounded quantities.

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Black SwanMental model

Extremistan

Domains where a single observation can dominate the total - wealth, book sales, pandemic spread, social-media reach, war casualties.

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Black SwanMental model

Thick tail (and thin tail)

In thick-tailed distributions, extreme events are more frequent and more extreme than the bell curve predicts. The tail does most of the work.

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Black SwanBias

Silent evidence

The data you don't see - failures, drop-outs, missing cases - usually changes the conclusion. The story you can hear is biased by survivorship.

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Black SwanBias

Survivorship bias

Drawing conclusions only from the survivors of a selection process, ignoring everyone the process eliminated.

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Black SwanAntifragilityRisk

Ruin

The class of outcomes from which you cannot recover. Ruin doesn't average out, doesn't get reversed by a winning streak, and ends the game.

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Black SwanAntifragilityMental model

Exposure

The shape of what happens to you under different outcomes - not the probability of those outcomes. Manage exposure, not forecast.

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Black SwanAntifragilityPrinciple

Optionality

The asymmetric right (not obligation) to take advantage of good outcomes without being trapped by bad ones.

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Black SwanAntifragilityPrinciple

Barbell strategy

Combine extremely safe positions with extremely risky ones. Avoid the «moderate» middle, which has thin-tail-thinking risk you can't see.

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AntifragilityBlack SwanPrinciple

Positive asymmetry (convexity)

Shape your bets so the downside is small and the upside is large. The asymmetry - not the probability - is what generates positive long-run results.

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AntifragilityBlack SwanPrinciple

Skin in the game

Trust advice and decisions from people who pay the cost of being wrong. Distrust those who don't.

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Black SwanDecision tool

Doxastic rules

Belief-handling rules: track confidence as a number, update it on evidence, and gate big actions behind high p.

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Black SwanAnti-pattern

Epistemic arrogance

Confidence that vastly exceeds the quality of evidence - usually because the speaker can't see what they don't know.

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AntifragilityMental model

Antifragility

Not the opposite of fragile. Beyond robust. Antifragile systems benefit from stress, variation, error, and time.

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AntifragilityMental model

Fragility / Robustness / Antifragility triad

Three shapes under stress: fragile breaks, robust holds, antifragile improves. Most systems aren't classified - they should be.

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AntifragilityPrinciple

Via negativa

Improve by subtracting harm - not by adding clever fixes. Removing bad inputs is more reliable than adding good ones.

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AntifragilityRisk

Single point of failure

A component whose failure brings down the whole system. The classic structural fragility. Almost always cheaper to remove than to defend.

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AntifragilityPrinciple

Small local failures (design for them)

Build systems where small components fail often, cheaply, and visibly - so the whole system gets information without ever risking ruin.

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AntifragilityMental model

Lindy effect

For non-perishable things (ideas, books, technologies), the longer something has been around, the longer it's likely to stick around.

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AntifragilityAnti-pattern

Neomania

Falling for newness as if it were a virtue. The neomaniac upgrades for the sake of upgrading.

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Black SwanAntifragilityAnti-pattern

Iatrogenics

Harm caused by the intervention itself. Treatment that's worse than the disease.

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AntifragilityAnti-pattern

Intervention bias

The compulsion to «do something» even when doing nothing has the better expected outcome.

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AntifragilityAnti-pattern

Fragilista

Someone whose actions reliably make systems more fragile while sounding smart. The well-meaning destroyer.

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AntifragilityPrinciple

Convexity

A position is convex when small increases in input produce disproportionate gains, while losses are bounded.

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Black SwanMental model

Epilogism

Reasoning by pattern from concrete observable cases, refusing to extrapolate beyond what's directly seen.

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AntifragilityPrinciple

Amor fati

«Love of fate». Embrace what happens - including loss, pain, and reversal - as material for the system you're building.

Open concept
Original books

This part of the knowledge base is inspired by the book. Go to the Ukrainian edition to explore the concept in depth.

This knowledge base is a practical learning and decision-making library based on Vladyslav's notes and interpretations of Kahneman and Taleb-inspired ideas. It is not professional legal, medical, financial, or psychological advice - and not an official replacement for the original books.