Big data is a term that's been getting some buzz as the next thing that's going to change everyone's lives (for better or worse, depending on how you look at it). Having a lot of data doesn't necessarily mean you also have a lot of useful knowledge. Garbage in, garbage out, so they say. And making correlations is easy compared to finding a direct causal relationship. However, that hasn't stopped (so-called) journalists from writing misleading headlines. If you hate correlations being mistaken for causation, submit examples you've seen in the comments below. Here are just a few to start off.
If you'd like to read more awesome and interesting stuff, check out this unrelated (but not entirely random!) Techdirt post