Amidst the conflicting evidence of superiority of one over the other, we investigate the Sum and majority Vote combining rules
for the two class case at a single point. We show analytically that, for Gaussian estimation error distributions, Sum always
outperforms Vote, whereas for heavy tail distributions Vote may outperform Sum.