Big Data is a noisy marketplace of people peddling their data analyses. It’s a confusing world of claims and counterclaims. You need statistical thinking and numbersense to figure out what and who to believe. As a long-time data geek, I show you how I do it.
If you’re new here, you’ll find some recurring themes. Researchers trick us with “story time,” as they drift effortlessly from data to theory/assumptions. “Causation creep” is a kind of bait-and-switch, in which researchers first admit they have evidence of correlation only but later give advice based on a causal interpretation. “Know your data” is an ongoing series of posts about the tracking and profiling operations of businesses.
I’m a fan of the apprenticeship model of learning. On the left column, you will find other bloggers that I read regularly. Also check out the people I follow on Twitter.
You heard it here first: statistics is fun!