About the publication
About Count & Chance
Why this publication uses small synthetic experiments to teach statistical judgment, and who is accountable for the work.
Published August 19, 2026 / Updated August 19, 2026
The purpose
Count & Chance is an independent educational publication about statistical intuition. Its aim is narrow: turn concepts that are easy to repeat but hard to picture into small experiments a reader can inspect and rerun. The site does not publish forecasts, rankings, diagnoses, investment claims, betting advice, or conclusions about real populations.
Every lab starts from an explicit teaching model. Its values are synthetic, its controls show the assumptions that can be changed, and its chart is paired with a numerical summary or table. The related guides explain the derivation, then identify the conditions under which the example stops being useful.
Who publishes it
The accountable operator is Count & Chance, based in Singapore. Articles are credited to the Count & Chance editorial desk because the work is reviewed as a publication rather than presented as the personal experience of an invented author.
How the work is funded
The site is designed to be free to read and use. It may be funded by display advertising after the public site, consent controls, and publisher account have been reviewed. Advertising does not decide which examples are used, what conclusions are presented, or whether a source is included. There are currently no paid rankings, affiliate product reviews, sponsored statistics, or user accounts.
Advertising readiness is not the same as approval. Technical safeguards and original content can support a review, but no site can promise acceptance into an advertising program.
What readers can expect
- A visible synthetic-data label wherever a generated example appears.
- A stable seed or fixed values so a result can be checked again.
- Primary or authoritative sources for statistical definitions.
- Dates, assumptions, limitations, and a route for corrections.
- No bulk-generated pages for every possible parameter combination.
Questions about the publication can be sent through the addresses on the contact page. Statistical errors and ambiguous explanations should be reported through the correction channel so they can be logged and reviewed.