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Category → Online Statistics Course

Welcome, Again

Welcome, Again: This site has gone through several iterations, first as an idea proposed in an Ask Reddit thread, then the creation of the first few posts you see here. The site was built in 2010, although work ended quickly with a post offering to give the site away to a good home.

Several years later, I had a similar idea for a site to be used in courses related to statistics or research methods. I teach in the Sociology and Criminology Department at a mid-sized university, and am also a web hobbyist. After researching domain names, I bought statfail.com and soon discovered this domain had been previously developed. Archive.org presented a site very similar to what you see here. I liked the design and the content offered a good start in my web-based examination of the perils and prospects of statistical analysis. The site also had a decent Google pagerank, which feed into my curious hobby. Rather than start at zero, I contacted the original developer for permission to use this content. Thank you Decabear for agreeing to allow this content to be recycled.

Additional content will be added in time. While often comical, the correlations presented here may be closer to the reality of today’s media that we care to admit. The goal is to help my students, and various site visitors, become more critical of statistical analysis. In particular, we examine the confusion of correlation and causation.

Time order may come into play as well. For now, I am going to step outside, open my umbrella, and cause it to rain.

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Welcome

Welcome to Statfail

This site has gone through several iterations, first as an idea proposed in an Ask Reddit thread.

Original content, limited to the first six posts, remains. These posts, and others to be added, are intended to help visitors (including my students) learn statistical analysis. I will use this site in my online statistics courses, where students develop an understanding of tools for analyzing data, correlation, causation, and application of statistics in data analytics. This site is intended to define statistical analysis by encouraging visitors to ask “what is data analysis,” “Why is it important to understand statistical analysis,” and “how often is data mis-analyzed?”

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