TED演讲:为什么智能统计数据是打击犯罪的关键(3)
Now, moneyball, as many of you know, is what the Oakland A’s did,
正如大家所知，点球成金，是奥克兰运动家棒球队的方法，
where they used smart data and statistics to figure out how to pick players that would help them win games,
他们使用了智能数据和统计学，找出如何挑选球员的办法，这将有助于他们赢得比赛，
and they went from a system that was based on baseball scouts who used to go out
依据一个由棒球侦查员组成的系统，
and watch players and use their instinct and experience, the scouts’ instincts and experience, to pick players,
他们频繁的观察球员的表现，利用他们的直觉和经验，侦查员的直觉和经验，挑选球员，
from one to use smart data and rigorous statistical analysis to figure out how to pick players that would help them win games.
通过使用智能数据和严格的统计分析找出挑选球员的办法，这会帮助他们赢得比赛。
It worked for the Oakland A’s, and it worked in the state of New Jersey.
奥克兰运动家棒球队就是这样运作的，这对新泽西州也是适用的。
We took Camden off the top of the list as the most dangerous city in America.
我们已经将卡姆登从美国最危险的城市的名单中剔除。
We reduced murders there by 41 percent, which actually means 37 lives were saved.
我们减少了41%的谋杀率，实际上相当于拯救了37条生命。
And we reduced all crime in the city by 26 percent.
整个城市的犯罪行为减少了26%。
We also changed the way we did criminal prosecutions.
我们也改变了刑事诉讼的工作方式。
So we went from doing low-level drug crimes that were outside our building to doing cases of statewide importance,
所以我们从调查低级毒品犯罪案件，它们就发生在办公大楼外面，转移到调查全州范围内的重要案件，
on things like reducing violence with the most violent offenders,
比如减少暴力罪犯的暴力行为，
prosecuting street gangs, gun and drug trafficking, and political corruption.
起诉街头帮派，枪支和毒品的不法交易，还有政治腐败。
当安妮米尔格拉姆2007年出任新泽西州的司法部长之时，很快便发现了某些惊人的事实：她的团队不仅对蹲监狱的人不甚了解，而且也无法确定他们所作的判决是否真正加强了公众安全。因此，她展开了一次鼓舞人心的探索，即将数据分析与统计分析应用到美国刑事司法体系当中。