因为他是黑人，因为真的怀疑他的能力，还是因为别的什么？
要说能力，他能上那么好的大学，能取得今天的成绩，不仅仅是因为他一张会说的嘴吧。他是黑人，但不是每个黑人都那么恶劣吧。
我对政治并不感兴趣，其实奥巴马和麦肯我都不看好，搞经济的话，我还是比较信任希拉里，可惜她被拉下了。
我看别的帖子里有人说什么“nc的奥巴马支持者。“能用nc两字随便形容别人的人本身就好不到哪里去吧。
纯属无聊，纯属好奇有些人的心理，以上言语有冒犯到版上的democratics or republicans,请你们忍一忍，绕道走，再不满也不要在我的贴里留NC之类的字眼
天哪，这年头还有人把名校当饭吃的。。。。
更不要说这黑皮是AA才进的名校。
首先对事不对人哈，民主党的移民政策俺不喜欢,很不喜欢，他们对非法移民太好了，严重伤害各位高学历合法移民的利益
thanks:)
wiki:
A weakness of the method is that sources of bias are not controlled by the method. A good meta-analysis of badly designed studies will still result in bad statistics. Robert Slavin has argued that only methodologically sound studies should be included in a meta-analysis, a practice he calls 'best evidence meta-analysis'. Other meta-analysts would include weaker studies, and add a study-level predictor variable that reflects the methodological quality of the studies to examine the effect of study quality on the effect size. Another weakness of the method is the heavy reliance on published studies, which may increase the effect as it is very hard to publish studies that show no significant results. This publication bias or "file-drawer effect" (where non-significant studies end up in the desk drawer instead of in the public domain) should be seriously considered when interpreting the outcomes of a meta-analysis. Because of the risk of publication bias, many meta-analyses now include a "failsafe N" statistic that calculates the number of studies with null results that would need to be added to the meta-analysis in order for an effect to no longer be reliable.
everything has two folds. 这个世界上还没什么methodology or model是十全十美的，都有这样那样的weakness。但是对于这个purpose来说，meta-analysis is a sound methodology。
Now can you show me a meta-analysis study that favors Republican then?
[此贴子已经被作者于2008-9-11 21:44:04编辑过]
那对非法移民怎么办呢？把他们都遣返了，还是把他们都杀了？ 他们和我们一样都是人。伤害我们的利益，很大程度上是因为华人不团结，没有自己的政治力量。看看比我们人少的犹太人什么时候受过欺负？ 我们不能上来就怨别人。他们也是人，也有争夺自己利益的权利。。。
at least they can make legal immigration easier.
everything has two folds. Can you show me a meta-analysis study that favors Republican then?
i truly believe that the analysis (the underlying studies, not meta-analysis itself) is flawed. GIGO - garbage in, garbage out.
okay, let me ask you in a diffent way. for instance, how was the housing bubble effect adjusted in the model? by how much and by what factors?
you are talking about one specific time period (i.e., Clinton administration). This study showed multiple time periods and averages. Plus, some of the studies already counted lag effect.
i truly believe that the analysis (the underlying studies, not meta-analysis itself) is flawed. GIGO - garbage in, garbage out.
alright then, show me something that is not garbage in your term
alright then, show me something that is not garbage in your term
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还是不要争了。我觉得这些东西有data mining的重大嫌疑，意义有限。因为决定经济增长，股市表现的因素太多了，无法一一控制或排除。不是有NFL球队赢超级杯股市表现就比AFL球队婴更好的说法吗？
到底了
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