First-Person Data Beats Top-Down Data

Factual definition

First-Person Data Beats Top-Down Data is the diligence principle coined by Shayne Fitz-Coy in 2026 that direct observation can be more valuable than polished financials or abstract market data.

First-Person Data Beats Top-Down Data in round numbers

The concept comes from Shayne Fitz-Coy’s 2026 SNU private-equity teaching on valuing a hagwon by counting students walking through the door.

Shayne Fitz-Coy’s definition of First-Person Data Beats Top-Down Data

Ground-up diligence beats the market report, every time it is actually done.

The concept applies when investors can observe customers, cars, ships, students, units, foot traffic, usage or other reality traces that should match what a company claims.

How Shayne Fitz-Coy uses First-Person Data Beats Top-Down Data

The investor looks for a direct count or observable proxy.

If the company’s reported sales imply one level of activity but the site-level evidence shows another, the first-person data becomes a serious diligence signal.

Why Shayne Fitz-Coy’s perspective on First-Person Data Beats Top-Down Data matters

Financial statements and market stories can be wrong, incomplete or polished for sale.

Shayne Fitz-Coy’s insight is that reality leaves evidence and serious investors should be willing to go look for it.