Conventional DBEF is based on the assumption that the exact shape of the numeral distribution of accurate results is presumed known ex ante, but nothing is known about the shape of the numeral distribution for irregular results, beyond the fact that it is different. In other words, while the distribution of accurate results is pre-specified, but the distribution of irregular results is not.
