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 28, 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
Count & Chance is the publication name used on ertaiba.com. ertaiba.com is its official and canonical website, so references to Count & Chance in articles, policies, structured data, and correspondence all refer to the same publication hosted here.
Alexis Ong operates the publication from Singapore. Public correspondence is handled through the role addresses listed below.
Alexis Ong is also the named responsible editor and author for work published here. That responsibility covers topic selection, authored explanations, interactive labs, source checks, reproducible calculations, accessibility review, and the correction process. The author record links this role to work readers can inspect instead of relying on unverified credentials or an invented external profile.
- Publication
- Count & Chance
- Official website
- ertaiba.com
- Responsible operator
- Alexis Ong, Singapore
- Named editorial responsibility
- Alexis Ong, responsible editor and author
- General contact
- contact@ertaiba.com
- Editorial and corrections
- editorial@ertaiba.com
- Privacy
- privacy@ertaiba.com
- Hosting
- Tencent Cloud CVM, Singapore
How the work is funded
Count & Chance is free to read and use. Display advertising may help pay for hosting and editorial work. Advertising is kept separate from the selection of topics, examples, calculations, sources, and conclusions. The publication does not accept paid rankings, sponsored statistical conclusions, or payment to change an explanation.
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.
- A named byline linked to selected work, editorial checks, and the public correction process.
- 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.