# Even the Pros Are Wrong Half the Time. Here's What They Do Differently SB1820

Page: https://stenobird.com/podcast/the-stacking-benjamins-show-745268/even-the-pros-are-wrong-half-the-time-here-s-what-they-do-differently-sb1820
Text version: https://stenobird.com/podcast/the-stacking-benjamins-show-745268/even-the-pros-are-wrong-half-the-time-here-s-what-they-do-differently-sb1820.md
Podcast: [The Stacking Benjamins Show](https://stenobird.com/podcast/the-stacking-benjamins-show-745268)
Published: 2026-03-25T07:02:00+00:00
Episode link: https://pscrb.fm/rss/p/mgln.ai/e/345/rss.art19.com/episodes/61fa1b2a-ee18-40fc-a4a1-99b1e497f4ad.mp3?rss_browser=BAhJIg90cmFuc2NyaWJyBjoGRVQ%3D--952c5701c84ad333c69d5faa668f8177091704f0
Audio file: https://pscrb.fm/rss/p/mgln.ai/e/345/rss.art19.com/episodes/61fa1b2a-ee18-40fc-a4a1-99b1e497f4ad.mp3?rss_browser=BAhJIg90cmFuc2NyaWJyBjoGRVQ%3D--952c5701c84ad333c69d5faa668f8177091704f0
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Duration seconds: 4012

## Resource

The best investors in the world are wrong -- a lot. Researchers Claire Flynn Levy and Lee Freeman-Shor spent over a decade studying elite money managers and found that being right about stock picks isn't actually what separates the winners. What separates them is what happens after the pick. The discipline, the rules, the willingness to act when the data changes -- and the ability to remove emotion from decisions most people make entirely on feeling. What You'll Walk Away With Why top investors can be wrong more than half the time and still dramatically outperform -- and what that means for how you evaluate your own strategy The critical shift from obsessing over what to buy to building a repeatable process around what you do next Three behavioral tribes investors fall into when a position moves against them -- and which one quietly destroys long-term returns Two distinct ways investors handle winning positions -- and why the more comfortable approach tends to leave serious money on the table How elite investors use predefined rules to decide when to sell, trim, or hold -- and why removing emotion from that decision is the whole game A real-world example of a rules-based system built around earnings surprises and data-driven holding periods -- one you can actually learn from Why planting tiny "seed" positions can preserve massive upside while keeping risk almost invisible on the downside The hidden cost of a pattern so common it barely registers -- holding losers too long while cutting winners too early What makes China's market behave unlike anywhere else -- and how one maestro built an entire strategy around it The AI cautionary tale hiding inside this episode -- a real advisor, a real client presentation, and math that was off by a factor of 12 Why This Matters Now…

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