I’ve been lucky to be able to snag a week off for some reading and reflection.

On the reading list – “Canada and the United States: differences that count” – which came on the recommendation of Joseph Carrabis. It’s a very good book.

I trolled “Competing on Analytics” and “Supercrunchers” for golden lines that might resonate with non-scientists.

And, on the back end, I want to finish “The Volatility Surface” and “Computability, Complexity and Constructivity in Economic Analysis”.

I’m happy to read that others are having the same problems I am. “False Induction” is one, especially when you’re dealing with volatile data like web analytics. How do you quantify the rate of uncertainty once you’ve observed a pattern? Can you predict the degredation of an observed pattern if you don’t fully understand the cause?

Is it even computable?

Back to work Monday, I’m afraid. 🙂

3 thoughts on “Holiday Reading

  1. Susan says:

    I recently came across your blog and have been reading along. I thought I would leave my first comment. I don’t know what to say except that I have enjoyed reading. Nice blog. I will keep visiting this blog very often.

    Susan

    http://www.car-insurance-choices.com

  2. Thanks Susan!

    Love the marketing method!

  3. Chris,
    I agree with you that web analytics data is volatile at least. But the key remains how to implement the information to improve your bottomline. Enjoy your blog very much!

Comments are closed.