  Benford's Law describes the finding that the distribution of leading (or
leftmost) digits of innumerable datasets follows a well-defined logarithmic
trend, rather than an intuitive uniformity. In practice this means that the
most common leading digit is 1, with an expected frequency of 30.1%, and the
least common is 9, with an expected frequency of 4.6%. The history and
development of Benford's Law is inexorably linked to physics, yet there has
been a dearth of physics-related Benford datasets reported in the literature.
Currently, the most common application of Benford's Law is in detecting number
invention and tampering such as found in accounting-, tax-, and voter-fraud. We
demonstrate that answers to end-of-chapter exercises in physics and chemistry
textbooks conform to Benford's Law. Subsequently, we investigate whether this
fact can be used to gain advantage over random guessing in multiple-choice
tests, and find that while testbank answers in introductory physics closely
conform to Benford's Law, the testbank is nonetheless secure against such a
Benford's attack for banal reasons.

Data Analysis, Statistics and Probability;Physics Education;Popular Physics