simplystatistics.org

What It Is

Simply Statistics is a long-running English-language blog on statistics and data science, mainly covering statistical thinking, data analysis, R, biostatistics, research reproducibility, academic policy, and data science education. The crawled content shows that its authors include well-known scholars such as Rafael Irizarry, Roger Peng, and Jeff Leek. The articles have a clear emphasis on academic commentary and methodological reflection, making it closest to a professional blog/news and information site in the “news and information” category, rather than a course platform, SaaS product, or developer tool.

Core Features

The site’s core value lies in its archive of high-quality articles. Topics include misuse of UMAP visualizations, definitions of AI, failures in data analysis, R programming practices, public health data, NIH data science strategy, reproducible research, research funding, and the cost of university research. It is not an interactive learning platform and does not provide an online lab environment. Instead, it functions more like a think tank within the statistics and data science community, suitable for broadening one’s perspective and understanding the judgment criteria behind scientific data analysis.

Pricing

Based on the crawled pages, Simply Statistics articles are publicly available to read for free. There is no visible membership system, paywall, subscription product, or commercial pricing information. No payment methods are shown either.

Pros and Cons

Its strengths are the strong backgrounds of its authors, the depth of its topics, and the fact that much of the content is grounded in real research and teaching experience rather than generic “intro to data science” material. Its long-running archive also allows readers to trace how ideas in data science have evolved over the past decade or so. The drawbacks are that the content is organized more like a blog feed, with no systematic course pathway; updates are not particularly consistent; some technical discussions may reflect an older context; and the English writing and statistical concepts may pose a barrier for beginners.

Who It’s For

It is well suited to researchers in statistics, biostatistics, public health, computational biology, and data science, as well as R/Python users who want to improve their analytical judgment. Graduate students, postdocs, and university instructors can also find inspiration in articles on scientific writing, open science, data sharing, and curriculum development. However, if the goal is to quickly learn the syntax of a specific tool or find project templates, R-bloggers, official documentation, or course platforms may be more direct options.

Access from China

The site uses a standard independent blog domain, with no indication that login is required or that it depends on major restricted services, so it can usually be accessed directly. However, the site is in English, and some external links—such as GitHub, Coursera, and academic resources—may be unstable to access from mainland China. Overall, Simply Statistics itself is suitable to bookmark as a directly accessible professional reading resource.