Probably
summary
Explains why intuitions fail and gives concrete takeaways: Monty Hall = switching wins 2/3, sources of randomness from quantum to chaotic determinism, a sqrt(n) rule‑of‑thumb for convergence, naive Bayes spam filter built by counting features, surprising examples like Efron non‑transitive dice, payoff matrices and a GitHub tool that computes mixed strategies (rock‑paper‑scissors 1/3 each and a computed optimal split that yields value 0.08).
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chapters (12)
- 0:00Introduction
- 3:43Monty Hall Problem
- 4:30Monty Hall Deal
- 9:22Weather Person
- 11:34Probability and Statistics
- 13:28Probability of Events
- 16:38Independent vs Dependent Events
- 19:20Quantum Randomness
- 25:30Standard Laws of Probability
- 28:23Thomas Bayes
- 29:45Nontransitive Dice
- 34:58Spam Filtering
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