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In this analysis we compare the finite sample bias (aka small sample bias) of the geometric means index and the 'seasoned modified Laspeyres index ' (hereafter referred to as the seasoned index.) Our tentative conclusion is that the geometric means index has a larger, growing rate of small sample bias while the seasoned index has a smaller, fluctuating bias.