andrew_gelman_stats andrew_gelman_stats-2010 andrew_gelman_stats-2010-36 knowledge-graph by maker-knowledge-mining

36 andrew gelman stats-2010-05-16-Female Mass Murderers: Babes Behind Bars


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Introduction: Around the time I was finishing up my Ph.D. thesis, I was trying to come up with a good title–something more grabby than “Topics in Image Reconstruction for Emission Tomography”–and one of the other students said: How about something iike, Female Mass Murderers: Babes Behind Bars? That sounded good to me, and I was all set to use it. I had a plan: I’d first submit the one the boring title–that’s how it would be recorded in all the official paperwork–but then at the last minute I’d substitute in the new title page before submitting to the library. (This was in the days of hard copies.) Nobody would look at the time, then later on, if anyone went into the library to find my thesis, they’d have a pleasant surprise. Anyway, as I said, I was all set to do this, but a friend warned me off. He said that at some point, someone might find it, and the rumor would spread that I’m a sexist pig. So I didn’t. I was thinking about this after hearing this report based on a reading of Sup


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 thesis, I was trying to come up with a good title–something more grabby than “Topics in Image Reconstruction for Emission Tomography”–and one of the other students said: How about something iike, Female Mass Murderers: Babes Behind Bars? [sent-3, score-0.222]

2 That sounded good to me, and I was all set to use it. [sent-4, score-0.233]

3 I had a plan: I’d first submit the one the boring title–that’s how it would be recorded in all the official paperwork–but then at the last minute I’d substitute in the new title page before submitting to the library. [sent-5, score-1.164]

4 ) Nobody would look at the time, then later on, if anyone went into the library to find my thesis, they’d have a pleasant surprise. [sent-7, score-0.471]

5 Anyway, as I said, I was all set to do this, but a friend warned me off. [sent-8, score-0.366]

6 He said that at some point, someone might find it, and the rumor would spread that I’m a sexist pig. [sent-9, score-0.694]

7 I was thinking about this after hearing this report based on a reading of Supreme Court nominee Elena Kagan’s undergraduate thesis. [sent-11, score-0.384]

8 Although in this case, I suppose the title was unobjectionable, it was the content that bothered people. [sent-12, score-0.509]


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Introduction: Around the time I was finishing up my Ph.D. thesis, I was trying to come up with a good title–something more grabby than “Topics in Image Reconstruction for Emission Tomography”–and one of the other students said: How about something iike, Female Mass Murderers: Babes Behind Bars? That sounded good to me, and I was all set to use it. I had a plan: I’d first submit the one the boring title–that’s how it would be recorded in all the official paperwork–but then at the last minute I’d substitute in the new title page before submitting to the library. (This was in the days of hard copies.) Nobody would look at the time, then later on, if anyone went into the library to find my thesis, they’d have a pleasant surprise. Anyway, as I said, I was all set to do this, but a friend warned me off. He said that at some point, someone might find it, and the rumor would spread that I’m a sexist pig. So I didn’t. I was thinking about this after hearing this report based on a reading of Sup

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Introduction: On the basis of two papers and because it is completely obvious, we (meaning me , Justin, and John ) predict that Elena Kagan will get confirmed to be an Associate Justice of the Supreme Court. But we also want to see how close we can come to predicting the votes for and against. We actually have two sets of predictions, both using the MRP technique discussed previously on this blog. The first is based on our recent paper in the Journal of Politics showing that support for the nominee in a senator’s home state plays a striking role in whether she or he votes to confirm the nominee. The second is based on a new working paper extending “basic” MRP to show that senators respond far more to their co-partisans than the median voter in their home states. Usually, our vote “predictions” do not differ much, but there is a group of senators who are predicted to vote yes for Kagan with a probability around 50% and the two sets of predictions thus differ for Kagan more than usual.

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Introduction: Dave Kane writes: I [Kane] am involved in a dispute relating to whether or not a blog can be considered part of one’s academic writing. Williams College restricts the use of undergraduate theses as follows: Non-commercial, academic use within the scope of “Fair Use” standards is acceptable. Otherwise, you may not copy or distribute any content without the permission of the copyright holder. Seems obvious enough. Yet some folks think that my use of thesis material in a blog post fails this test because it is not “academic.” See this post for the gory details. Parenthetically, your readers might be interested in the substantive discovery here, the details of the Williams admissions process (which is probably very similar to Columbia’s). Williams places students into academic rating (AR) categories as follows: verbal math composite SAT II ACT AP AR 1: 770-800 750-800 1520-1600 750-800 35-36 mostly 5s AR 2: 730-770 720-750 1450-1520 720-770 33-34 4s an

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