x1=g1 optimizes / makes x2=g2=t1=m1 optimal / to best satisfy evaluator x3=m2 in property / state x4=t2=m3 towards extreme x5=t3 among x6=t5; x2 is made optimal among x6.
x1=s1 is evidence for x2=k2 with evidence strength x3=s3=p1 (numerator x4=p2, denominator x5=p3, believer x6=k1, new odds x7=k3, old odds x8=s2); x1 is Bayesian evidence for belief / prediction / hypothesis x2, with evidence magnitude / strength (and direction), as a likelihood ratio as odds, x3 since the hypothesis predicts the evidence to degree / with probability x4 and since not-hypothesis predicts the evidence to degree / with probability x5, updating x6's belief strength / odds / confidence to posterior odds / new confidence x7 from prior odds / old confidence x8; x1 is evidence for x2 with evidence strength and direction x3 due to how much better (or worse) the hypothesis predicts the evidence (amount x4) than not-hypothesis predicts the evidence (amount x5), according to knowledge / truth / subjective probability judge / assigner / evaluator x6, who after accounting for the evidence has odds in the hypothesis x7 after prior odds x8.
x1=t1=p2=p3=l2=v2 is a big-endian / most-significant-first tanru formed with x3=t2 modifying x2=t3=l1=v1, giving meaning x4=t4 in usage/instance x5=t5=v3.
x1=t1=p2=p3=j2=v2 is a little-endian / least-significant-first tanru formed with x2=t2 modifying x3=t3=j1=v1, giving meaning x4=t4 in usage/instance x5=t5=v3.
x1=g1 optimizes x2=g2=t1=v2 in aspect / in terms of / in property / value x3=t2=v1 for subjective / agent x4=v3 for goal / end / use / appreciation x5=v4 towards extreme of property / as xth-most x6=t3 among x7=t4; x2 is made optimal among x7.
x1 is a little-endian / least-significant-first sequence with ordering x2 on set x3, with least-significant item x4 first, least important to x5 in property / aspect x6, towards extreme / as xth-least x7 among x8 (least significant by amount x9).
x1 is a big-endian / most-significant-first sequence with ordering x2 on set x3, with most-significant item x4 first, most important to x5 in property / aspect x6, towards extreme / as xth-most x7 among x8.