Explore Capsules
10 capsules

Probability Judgment: Biases, Base Rates, and Bayesian Fixes
Human instinct routinely botches probability, from the gambler's fallacy to ignoring base rates. These reasons range from stubborn cognitive biases and how badly we encode randomness to systematic fixes like Bayesian updating that override the guesswork. You can decide which explanations and tools help you think more clearly about chance.

Cognitive Biases: Shortcuts, Risks, and Decision Errors
People often rely on mental shortcuts that shape how they judge situations, estimate risks, and make choices. These shortcuts include biases like anchoring on the first number heard, fearing losses more than valuing gains, overestimating abilities, and favoring information that confirms existing beliefs. Recognizing these common patterns helps explain why decisions sometimes stray from rational thinking.

Active Funds vs. Index Funds: Performance, Bias, and Evidence
The people paid to pick winning stocks mostly lose to a fund that simply buys everything, and it looks worse once dead funds are counted properly. The findings here differ on why: statistical bias, market efficiency, methodological blind spots, possible exceptions in bonds, and whose conflicts of interest color the analysis. Where you come down decides whether active management deserves any of your money.

Astrology and Evidence: Testing, Bias, and Self-Reflection
Astrology keeps failing rigorous tests of predictive power, yet millions still organize their lives around it. These views span the science that debunks it, the cognitive biases that sustain belief, and the case for horoscopes as tools for self-reflection rather than prediction. Weighing them shows what astrology can't do and what it still does for people anyway.

Structured Interviews: Fairer Hiring Beyond Cultural Fit
Structured interviews with standardized questions and scoring are proven to predict job performance far better than unstructured interviews that rely on subjective cultural fit judgments. The common practice of hiring for cultural fit often masks bias and discrimination, disadvantaging diverse candidates. By focusing on objective, job-related criteria through structured interviews, employers can reduce bias and make fairer, more accurate hiring decisions.

Money Decisions: Luck, Experience, and Risk Perception
Money decisions are shaped not just by data but by personal experience and unpredictable luck, which can make comparing financial outcomes misleading. This collection reveals how stories from history, risk perception, and real-world examples highlight both the strengths and blind spots in common money advice, helping you see where lessons apply and where they don’t. Understanding these points lets you better prepare for uncertainty and avoid pitfalls in financial thinking.

Credit Score Myths: Better Research for Fairer Lending
Common beliefs about credit scores often rely on flawed studies that overlook critical methodological issues like data leakage and sample bias. By demanding rigorous, transparent research and understanding the true factors behind credit scoring, consumers and lenders can avoid costly mistakes and promote fairer, more accurate credit decisions. Embracing these insights helps you challenge myths that lead to unfair lending and financial loss.

SAT and ACT Fairness: Inequality, Diversity, and Admissions Tradeoffs
Whether standardized tests reward real ability or just mirror the money and schooling a student had shapes who gets into college. These views span tests as a symptom of deeper inequality, test-optional policies as a diversity fix, the legal fallout after the Court banned race-conscious admissions, and the messy trade-offs of dropping the tests at all. Explore them to form your own read on fairness.

Drug Research Bias: Ghostwriting, Trial Data, and Patient Protection
The research behind your medications may carry hidden ghostwriters and massaged trial data. The views split on the remedy: exposing manipulated studies one by one, forcing legal and regulatory reform on the companies, or practicing evidence-based care that routes around the bias, especially for vulnerable patients. Decide how much to trust drug claims and how to protect yourself in the meantime.

Risk Perception: Rare Dangers, Everyday Hazards, and Better Judgment
Shark attacks, plane crashes, and sinister strangers grip your imagination far more than the everyday hazards that actually hurt people. These claims differ on how deep the distortion goes: some say rare, vivid dangers fully hijack your sense of risk, while others argue that leaning on data and oversight can pull your judgment back in line. Weigh them and you can start reacting to real threats instead of memorable ones.