Benford’s Law (also called the First-Digit, or Significant-digit Law), is the well known logarithmic probability distribution of significant digits found in many numerical datasets. The goal of this talk, after a quick review of a few basics and examples, will be to describe some of the very recent advances in the field. These include empirical evidence of BL in the 2010 U.S. census, 2012 Chinese stock indices, and estimates of all numbers on the World Wide Web, as well as advances in theory underlying a characterization of BL, and a very general result for Benford behavior of exponentially increasing or decreasing sequences. New applications of BL have appeared for detection of voting fraud, earthquakes, and alterations of digital images, and also for diagnostic tests of mathematical models and instrumentation, such as those used to detect lightning strikes. This talked will be aimed for the non-specialist.