(This article was first published on

**Portfolio Probe » R language**, and kindly contributed to R-bloggers)World Statistics Day is 2010 October 20. If you work with data (or you should), then you are a statistician and this is a day for you.

- Try the Monte Hall problem on your mother.
- Start reading
*Bad Science*. I mean the book, but here’s the blog. - Take a step towards breaking your spreadsheet addiction by starting to use R.
- Watch Hans Rosling’s TED talk on the best stats you’ve ever seen
- Think about what new data would be informative for something that you are doing.
- Think about how data that you are using may be misleading.
- Conceive of a more useful graphic for some data that you have.
- Take advantage of and/or support http://www.getstats.org.uk, the newly launched outreach project of the Royal Statistical Society.
- Start reading Malcolm Gladwell’s
*What the Dog Saw*. Several of the pieces are statistics lessons in disguise. - Modernize your data analysis by learning the statistical bootstrap and related methods. If you already know it, then teach it to someone else.
- Start to read
*Obliquity*by John Kay to rein in your belief in models and upgrade your appreciation of experimentation. - Get around to deriving the Uniformly Most Powerful Unbiased test for that problem that you’ve been putting off.

More ideas are welcome.

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