📖Charlie Munger

Recency Bias

🌿 Intermediate★★★★★

Recent events disproportionately influence our expectations about the future.

💬

People overweigh what has happened to them recently.

— Munger Speech，2008

🏠 Everyday Analogy

Just as one might only remember the ending of a movie and forget the brilliant plot that preceded it, investors often become overwhelmed by recent market fluctuations. During a bull market, they may believe stocks will only rise, while in a bear market, they may think conditions will never improve—as if their vision has been clouded by the final scene.

📖 Core Interpretation

People tend to place excessive emphasis on recent events, assigning disproportionate weight to the latest information.
💎 Key Insight：After a market crash, people expect more crashes. After a boom, they expect more gains. But markets are not momentum machines — they cycle. Recency bias causes investors to extrapolate recent trends indefinitely, buying at peaks and selling at troughs. Munger studies long-term history specifically to counteract the distortion of recent experience.

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❓ Why It Matters

The recency effect leads to chasing rallies and selling during declines, fostering optimism at market peaks and pessimism at market troughs.

🎯 How to Practice

When evaluated over a longer historical cycle, avoid letting short-term fluctuations dominate your judgment.

🎙️ Master's Voice

We all are learning, modifying, or destroying ideas all the time. Rapid destruction of your ideas when the time is right is one of the most valuable qualities.
Munger values the ability to abandon wrong ideas quickly. Holding onto bad ideas is costly; rapid updating is valuable.

⚔️ Practical Guide

✅ Decision Checklist

  • Am I holding onto bad ideas?
  • Can I admit when I am wrong?
  • Do I update my views quickly?

📋 Action Steps

  1. Practice abandoning wrong ideas
  2. Celebrate when you change your mind
  3. Value intellectual flexibility

🚨 Warning Signs

  • Stubbornly holding wrong views
  • Slow to admit errors
  • Ego preventing updates

⚠️ Common Pitfalls

✕Sometimes recent information is indeed crucial.
✕Distinguish between signal and noise

📚 Case Studies

1
Dot-com Bubble Euphoria (1999)
Investors extrapolated recent tech stock surges, assuming gains would continue indefinitely. Valuations detached from earnings or cash flows, driven by fear of missing out on the latest winners.
✨ Outcome：Bubble burst in 2000–2002; Nasdaq fell ~78%. Firms like Pets.com collapsed, punishing those guided by recency instead of fundamentals.
2
Pre‑Crisis Housing Confidence (2007)
Recent years of rising U.S. home prices led many to believe housing ‘never goes down nationally.’ Banks and investors relied on recent default data to justify subprime lending and complex mortgage securities.
✨ Outcome：2008 crash shattered assumptions; housing and related securities plunged, causing huge losses at Lehman, Bear Stearns, and many recency‑driven investors.

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