▶What's the difference between critical thinking and skepticism?
Skepticism is doubting everything. Critical thinking is evaluating based on evidence. A critical thinker accepts things backed by strong evidence; skeptics doubt even strong evidence. Critical thinking = evidence-based reasoning. Skepticism = systematic doubt. You want critical thinking.
▶How do I spot a logical fallacy?
Learn the 15 most common: ad hominem (attacking the person, not the argument), appeal to authority ("experts say so"), straw man (misrepresenting opponent's position), circular reasoning (conclusion assumes the premise), false dilemma (only two options exist). When you hear a claim, ask: "Is that logically sound or does it rely on a fallacy?"
▶What's Bayesian reasoning and why does it matter?
Bayesian reasoning: update your beliefs as new evidence arrives. Prior belief (50% chance X happens) + evidence (observation favoring X) = updated belief (70% chance). Most people ignore this and stick to initial beliefs. Bayesian thinkers update constantly and outperform.
▶How do I identify hidden assumptions?
For any claim, ask: "What would need to be true for this to hold?" Example: "Hire faster to grow faster" assumes hiring quality doesn't matter, training time is zero, and no coordination loss. Once you surface assumptions, challenge them with evidence.
▶What's first principles thinking?
Break a problem into fundamental truths, then reason from scratch. Example: "What is a car?" Most say "vehicle with wheels". First principles: a car moves people from A to B. It needs energy (fuel), steering, brakes, structure. From there, you can redesign (electric, autonomous, etc.) without being anchored to tradition.
▶How do I avoid confirmation bias?
Actively seek disconfirming evidence. For a belief you hold, ask: "What would prove me wrong?" Then search for that evidence. Read arguments against your position. Have someone else play devil's advocate. Confirmation bias kills thinking; you need opposing views.
▶When is good enough good enough?
In high-stakes decisions (hiring, investing, medical), demand 95%+ confidence. In low-stakes (choosing restaurant), 60% confidence is fine. Cost of error × probability of error = decision threshold. If being wrong costs $100k, demand better evidence than if being wrong costs $10.