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survivorship-bias

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Longform data analysis article arguing every “dataset” is actually three: Observed (captured rows), Missing (what should exist but doesn’t), and Excluded (what filters/joins/dropna removed). Includes dataset accounting, join-loss and missingness audits, segmentation checks, and practical templates to prevent biased KPIs and wrong conclusions.

  • Updated Apr 29, 2026

An honest, survivorship-bias-corrected backtesting engine. Market-agnostic — Indian equities (Nifty 50/100/200/500) wired in out of the box, extensible to US/global via yfinance. Tax-aware, free data, Python + DuckDB.

  • Updated Jul 17, 2026
  • Python

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