  Benford's Law is an empirical law which predicts the frequency of significant
digits in databases corresponding to various phenomena, natural or artificial.
Although counter intuitive at the first sight, it predicts a higher occurrence
of digit 1, and decreasing occurrences to other larger digits. Here we report
the Benford analysis of various NMR databases and draw several interesting
inferences. We observe that, in general, NMR signals follow Benford
distribution in time-domain as well as in frequency domain. Our survey included
NMR signals of various nuclear species in a wide variety of molecules in
different phases, namely liquid, liquid-crystalline, and solid. We also studied
the dependence of Benford distribution on NMR parameters such as signal to
noise ratio, number of scans, pulse angles, and apodization. In this process we
also find that, under certain circumstances, the Benford analysis can
distinguish a genuine spectrum from a visually identical simulated spectrum.
Further we find that chemical-shift databases and amplitudes of certain radio
frequency pulses generated using optimal control techniques also satisfy
Benford's law to a good extent.
