Berkeley CSUA MOTD:Entry 19734
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2025/04/03 [General] UID:1000 Activity:popular
4/3     

2000/11/11-13 [Computer/SW, Politics/Domestic] UID:19734 Activity:kinda low
11/11   Some comments on statistical analysis and data collection and how it
        relates to the elections:
        http://www.opinionjournal.com/editorial/feature.html?id=65000587
        \_ Mr. Glaeser is an idiot.  Can someone in Boston tell him that, plz?
                \_ And you base that opinion on what other than political bias?
                   Perhaps could you provide a URL that demonstrates the man
                   is an idiot for reasons other than who you voted for?  I
                   suggest you try something clever like posting the same URL.
                   If you can't be right, be a smart ass.  That always works.
                        \- yes but the is putting this on a web site for
                \- i dont think that article is particularly interested or
                illuminating, but what is idiotic about it? --psb
                \_ He's a Brookings/Harvard prof/very smart man.  This is
                   a politically charged issue.  His conclusions are obvious.
                   Do I really have to say anything more?
                        \- yes but he is putting this on a web site for
                        the masses, not Econometrica. --psb
                        \_ Fine.  The masses need this education.
        \_ Fine, Mr. Glaeser is not an idiot.  I realize that most
           of my rantings were because I was a liberal.
2025/04/03 [General] UID:1000 Activity:popular
4/3     

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Cache (2486 bytes)
www.opinionjournal.com/editorial/feature.html?id=65000587
EST There is a well-known trick among statistical economists for biasing your data while looking honest. First, figure out which data points don't agree with your theory. Then zealously clean up the offending data points while leaving the other data alone. The key to maintaining academic dignity is to ensure that you do nothing to the data other than eliminate errors. But while this approach may seem to improve accuracy, it actually leads to biased results. If you only clean the offending data points, then you will disproportionately keep erroneous data that agrees with your prior views. This leads many scholars to believe that data that is partially cleaned at the discretion of a researcher is worse than bad data. This lesson from the ivory tower has a clear implication for the current mess in Florida. Hand counting ballots in only a few, carefully chosen counties is a sure way to bias the results. Even if hand counting is more accurate than machine counting, there is a clear bias introduced because Al Gore chose which counties to hand count. Gore has selected the state and counties where recounting has the best chance of helping him. This is exactly the same as cleaning other data selectively. Naturally, if this opportunity for selective recounting becomes the norm, the floodgates will open and any candidate who loses a close election would be foolish not to demand a recount. If there is to be recounting by hand, it cannot be selective. One candidate cannot be allowed just to choose where he wants the data cleaned. If this is prohibitively expensive, or time consuming, then it is better to leave the process unchanged than to introduce the selective recounting bias. More generally, one of the principal lessons of macroeconomics is that rules generally work better than discretion. Giving candidates influence over how election results are processed does not help democracy to accurately reflect the will of the people. Judicial discretion is not much better, as judges will be responding to cases selectively filed by candidates. Furthermore, judges determining elections will exalt the judiciary to a king-making role it should not have. While it certainly may be appropriate to ban butterfly ballots for all of eternity, and while reform of balloting procedures seems like a must, it is also clearly wrong to selectively recount certain areas. Glaeser is a professor of economics at Harvard University and a visiting fellow at the Brookings Institution.