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”
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.
Love the marketing method!
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!
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