A local bootstrap method is proposed for the analysis of electoral vote-count first-digit frequencies, complementing the Benford's Law limit. The method is calibrated on five presidential-election first rounds (2002-2006) and applied to the 2009 Iranian presidential-election first round. Candidate K has a highly significant (p < 0.15%) excess of vote counts starting with the digit 7. This leads to other anomalies, two of which are individually significant at p∼ 0.1%, and one at p sim 1%. Independently, Iranian pre-election opinion polls significantly reject the official results unless the five polls favouring candidate A are considered alone. If the latter represent normalised data and a linear, least-squares, equal-weighted fit is used, then either candidates R and K suffered a sudden, dramatic (70%pm 15%) loss of electoral support just prior to the election, or the official results are rejected (p ∼ 0.01%).