🎲 Probability Without the Misery

🎲 Probability Without the Misery

Your phone says there's a 30% chance of rain. It stays dry all day. Was the forecast wrong? Most people would say yes, and most people would be wrong. This book explains why luck behaves the way it does, and why your gut keeps getting it wrong.

WHAT'S INSIDE:

🪙 A number from 0 to 1 — what makes a fair coin fair, and what a probability actually measures

✖️ "And" vs. "or" — when to multiply chances and when to add them

🔎 Conditional probability — how new information shrinks what you count

🩺 Bayes' theorem — why a 99% accurate test for a rare disease is usually wrong when it says yes

⚖️ Expected value — turning chances into decisions, and why it's a long-run average, not a prediction

📊 The law of large numbers — why averages settle, and why nine heads in a row tells you nothing about the tenth flip

🔔 Binomial and normal — the two shapes chance takes most often

🚪 Famous traps — the birthday problem, Monty Hall, and other places your intuition fails

⚠️ A "5 Common Mistakes" chapter — including believing an outcome is 'due'

🧮 A Formulas & Quick Reference appendix, with a worked example

✏️ 10 fully worked examples with every step shown

✅ 11 practice problems with complete answers at the back

WHO THIS IS FOR:

Anyone who has ever felt a coin was "due" to land heads. Anyone who wants to read forecasts, test results and odds without being fooled.

No prior knowledge of probability required. 20 pages.