Ruwan C. Karunanayaka
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Categories
All (3)
AI (1)
cricket (1)
G-theory (1)
measurement (1)
meta (1)
methodology (2)
R (1)
sports (1)

Blog

Notes on cricket, handball, and statistical methodology — mostly work in progress, thinking out loud.

Notes on statistical methodology — how to design studies, measure reliably, and trust the numbers.

Your leaderboard gap is probably noise

AI
methodology
measurement

Two models, two percentage points apart, thousands of votes — and still not enough evidence to call a winner. How to read a ranking like a statistician.

Jul 22, 2026
3 min

Building this site: Quarto, GitHub Pages, and a win-probability worm

meta
R
cricket

Why I picked a plain-text, version-controlled site over a CMS — and how the cricket forecaster on the home page connects to a real model.

Jun 13, 2026
1 min

How many observations before a statistic means anything?

G-theory
methodology
sports

Generalizability theory’s decision study — the tool for knowing when a performance metric is signal and when it’s still noise.

Jun 8, 2026
2 min
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© 2026 Ruwan C. Karunanayaka · Associate Professor, University of the Fraser Valley

 
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