Information is convex to noise. The paradox is that increase in sample size magnifies the role of noise (or luck); it makes tail values even more extreme. There are some problems associated with big data and the increase of variables available for epidemiological and other “empirical” research.
Here is a bit more information:
Greater performance for (temporary) “star” traders We are getting more information, but with constant “consciousness”, “desk space”, or “visibility”. Google News, Bloomberg News, etc. have space for, say, <100 items at any point in time. But there are millions of events every day. As the world is more connected, with the global dominating over the local, the number of sources of news is multiplying. But your consciousness remains limited. So we are experiencing a winner-take-all effect in information: like a large movie theatre with a small door. Likewise we are getting more data. The size of the door is remaining constant, the theater is getting larger. The winner-take-all effects in information space corresponds to more noise, less signal. In other words the spurious dominates.
That is from a Marc Andreessen link (but what is the source?). He also links to the March Playboy piece on why the world is getting weirder all the time, previously linked by MR but worth a reread nonetheless.