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risk & uncertainty

A collection exploring how to think about, navigate, and even benefit from risk and uncertainty. Drawing from probability theory, philosophy, and practical wisdom, these concepts help us make better decisions in a world we cannot fully predict.

Risk ManagementDecision Making Under UncertaintyProbability & StatisticsResilience & Adaptation

Why This Collection Matters

We live in a world of radical uncertainty. Our models fail, our predictions miss, and outlier events reshape everything we thought we knew. Yet most of our education, institutions, and mental habits assume a predictable, controllable world.

This collection gathers concepts that help us think more clearly about uncertainty—not to eliminate it, but to navigate it wisely and sometimes even benefit from it.

Core Tensions

Prediction vs. Positioning: Should we try to forecast the future, or build systems robust to any future? The concepts here generally favor positioning over prediction.

Risk vs. Uncertainty: Risk can be calculated; uncertainty cannot. Many failures come from treating true uncertainty as calculable risk.

Individual vs. Ensemble: What’s optimal for a group on average may be catastrophic for individuals. Survival requires thinking about paths, not just outcomes.

Practical Applications

  • Investing: Understanding fat tails explains why “once in a century” market crashes happen every decade
  • Career: Barbell strategies help navigate uncertain job markets
  • Health: Distinguishing reversible from irreversible decisions
  • Policy: Why some domains require the precautionary principle while others benefit from experimentation

key concepts

6 terms

Black Swan

Nassim Nicholas Taleb

A rare, unpredictable event with massive impact that we rationalize in hindsight. Black Swans shape history far more than regular, predictable events.

Fat Tails

Statistical Theory / Taleb

Probability distributions where extreme events are far more likely than normal distributions suggest. In fat-tailed domains, the average is dominated by outliers.

Ergodicity

Ole Peters / Statistical Mechanics

The distinction between time averages and ensemble averages. What works for a group on average may not work for any individual over time, especially when ruin is possible.

Barbell Strategy

Nassim Nicholas Taleb

Combining extreme safety with small, high-risk bets while avoiding the middle. This creates convex exposure—limited downside with unlimited upside.

Skin in the Game

Nassim Nicholas Taleb

The principle that decision-makers should bear the consequences of their decisions. Asymmetric risk-taking (upside without downside) leads to systemic fragility.

Precautionary Principle

Risk Ethics

When an action risks harm to the public or environment, precautionary measures should be taken even if causal relationships are not fully established scientifically.