if m1.Count() != m2.Count() {
		return n.Narrowest(m1, m2)
	}

	m1Distance := n.NUMADistances.CalculateAverageFor(m1)
	m2Distance := n.NUMADistances.CalculateAverageFor(m2)
	// If average distance is the same, take bitmask with more lower-number bits set.
	if m1Distance == m2Distance {
		if m1.IsLessThan(m2) {
			return m1
		}
		return m2
	}