The Little Book of Common Sense Investing: The Only Way to Guarantee Your Fair Share of Stock Market Returns

John C. Bogle's "The Little Book of Common Sense Investing" — an executable toolkit for understanding why low-cost index funds are the only way to guarantee your fair share of stock market returns, and why the relentless rules of humble arithmetic make active investing a loser's game. Covers 7 use cases: ① Index Fund Basics — why owning the whole market beats picking stocks ("Why do index funds outperform most active funds?") ② The Cost Problem — how fees destroy wealth ("How much am I actually paying in fees?") ③ The Gotrocks Parable — understanding the Helper problem ("Who is taking my money and how do I stop it?") ④ Reversion to the Mean — why past performance is a trap ("Why did my fund stop outperforming?") ⑤ Asset Allocation — stocks vs bonds by age ("How should I split my portfolio between stocks and bonds?") ⑥ Tax Efficiency — minimizing what the government takes ("How do I pay less in investment taxes?") ⑦ Building a Portfolio — the three-fund solution ("What's the simplest portfolio that actually works?") Trigger when users say: "How do I invest in index funds" "John Bogle" "Bogleheads" "What's the best way to invest" "How much should I pay in fees" "Active vs passive investing" "How do I build a retirement portfolio" "What is the three-fund portfolio" "How to beat the market" "Is my financial adviser worth it" "Mutual funds vs ETFs" "Vanguard" "S&P 500 index fund" "Dollar cost averaging" or mention: John Bogle / Vanguard / index fund / common sense investing / Bogleheads / expense ratio / S&P 500 / total stock market / passive investing / three-fund portfolio / target date fund / Warren Buffett / Peter Lynch / Charles Ellis / Paul Samuelson / reversion to the mean / Gotrocks / Helpers / Wall Street / Main Street / dividend reinvestment / asset allocation Also triggers when the user says they just installed this skill or doesn't know how to start — the AI MUST proactively present the Quick Start guide below.

by @heardlyapp (Heardly)·MIT-0