Key Takeaways
- Cherry-picking data means selecting only evidence that supports a conclusion while ignoring contradictions.
- Watch for trough-to-peak returns, survivorship-filtered track records, and median-price distortions.
- The narrative fallacy creates false confidence by making past outcomes seem predictable and inevitable.
- Evaluate data sources critically: Who produced the analysis? What data was excluded? What is their incentive?
This track contains subscriber-only lessons
Explore free tracks in this area of study, or subscribe for full access.
Browse available tracks"Survivorship Bias, Recency Bias & Historical Data Traps" is a Pro track
Upgrade to access all lessons in this track and the entire curriculum.
Test Your Knowledge
1.What is cherry-picking in data analysis?
2.What is the narrative fallacy?
3.How can you evaluate whether a data claim is cherry-picked?