andrew_gelman_stats andrew_gelman_stats-2014 andrew_gelman_stats-2014-2333 knowledge-graph by maker-knowledge-mining

2333 andrew gelman stats-2014-05-13-Personally, I’d rather go with Teragram


meta infos for this blog

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Introduction: This one stunned me but perhaps will be no surprise to those of you who are under 30. Laura Wattenberg writes : I live in a state where a baby girl is more likely to be named Margaret than Nevaeh. Let me restate that: I live in the only state where a baby girl is more likely to be named Margaret than Nevaeh. Wow. But I guess you can’t really use the name Teragram for a baby girl, it will make it sound like she’s fat.


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 This one stunned me but perhaps will be no surprise to those of you who are under 30. [sent-1, score-0.368]

2 Laura Wattenberg writes : I live in a state where a baby girl is more likely to be named Margaret than Nevaeh. [sent-2, score-1.69]

3 Let me restate that: I live in the only state where a baby girl is more likely to be named Margaret than Nevaeh. [sent-3, score-1.885]

4 But I guess you can’t really use the name Teragram for a baby girl, it will make it sound like she’s fat. [sent-5, score-0.853]


similar blogs computed by tfidf model

tfidf for this blog:

wordName wordTfidf (topN-words)

[('girl', 0.468), ('baby', 0.427), ('margaret', 0.413), ('named', 0.248), ('restate', 0.229), ('live', 0.214), ('teragram', 0.206), ('wattenberg', 0.199), ('laura', 0.174), ('stunned', 0.168), ('fat', 0.166), ('state', 0.153), ('likely', 0.146), ('surprise', 0.119), ('sound', 0.117), ('name', 0.092), ('guess', 0.073), ('let', 0.064), ('perhaps', 0.058), ('use', 0.044), ('really', 0.038), ('make', 0.037), ('writes', 0.034), ('like', 0.025), ('one', 0.023)]

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simIndex simValue blogId blogTitle

same-blog 1 1.0000001 2333 andrew gelman stats-2014-05-13-Personally, I’d rather go with Teragram

Introduction: This one stunned me but perhaps will be no surprise to those of you who are under 30. Laura Wattenberg writes : I live in a state where a baby girl is more likely to be named Margaret than Nevaeh. Let me restate that: I live in the only state where a baby girl is more likely to be named Margaret than Nevaeh. Wow. But I guess you can’t really use the name Teragram for a baby girl, it will make it sound like she’s fat.

2 0.35307133 1249 andrew gelman stats-2012-04-06-Thinking seriously about social science research

Introduction: I haven’t linked to the Baby Name Wizard in awhile. . . . Laura Wattenberg takes a look at the question , “Does a hard-to-pronounce baby name hurt you?” Critical thinking without “debunking”—this is the way to go.

3 0.2429868 208 andrew gelman stats-2010-08-15-When Does a Name Become Androgynous?

Introduction: Good stuff , as always, from Laura Wattenberg.

4 0.13034265 1701 andrew gelman stats-2013-01-31-The name that fell off a cliff

Introduction: John Tillinghast points us to this blog entry by Hilary Parker. Here’s what she found: Hey—nice graph! P.S. Those of you who are interested in this sort of thing should check out the Baby Name Wizard blog which is full of thoughtful, data-based explorations about names.

5 0.12122788 2038 andrew gelman stats-2013-09-25-Great graphs of names

Introduction: From Nathan Yau . I love this stuff. It’s just wonderful, a great set of visualizations on a great topic. Offhand, the only suggestions I have are to scale the graphs or indicate in some way the trends in the total popularity of each name (as it is, I wonder if some of the variation is arising from rarity), also to me the girl color looks a bit orangish and I’d go for something more purely pink. P.S. These graphs are pretty good too.

6 0.1195251 794 andrew gelman stats-2011-07-09-The quest for the holy graph

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lsi for this blog:

topicId topicWeight

[(0, 0.047), (1, -0.027), (2, 0.02), (3, 0.025), (4, 0.008), (5, -0.016), (6, -0.003), (7, 0.01), (8, 0.01), (9, 0.003), (10, -0.0), (11, 0.018), (12, 0.014), (13, 0.015), (14, 0.028), (15, 0.038), (16, 0.006), (17, -0.001), (18, 0.031), (19, -0.009), (20, -0.004), (21, -0.015), (22, -0.006), (23, -0.004), (24, 0.012), (25, -0.038), (26, -0.049), (27, 0.026), (28, -0.007), (29, -0.017), (30, 0.038), (31, -0.006), (32, -0.019), (33, -0.009), (34, -0.045), (35, 0.039), (36, 0.017), (37, 0.026), (38, -0.045), (39, -0.01), (40, -0.022), (41, -0.017), (42, 0.013), (43, -0.038), (44, 0.051), (45, 0.039), (46, 0.002), (47, 0.014), (48, 0.083), (49, 0.048)]

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Introduction: This one stunned me but perhaps will be no surprise to those of you who are under 30. Laura Wattenberg writes : I live in a state where a baby girl is more likely to be named Margaret than Nevaeh. Let me restate that: I live in the only state where a baby girl is more likely to be named Margaret than Nevaeh. Wow. But I guess you can’t really use the name Teragram for a baby girl, it will make it sound like she’s fat.

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Introduction: I haven’t linked to the Baby Name Wizard in awhile. . . . Laura Wattenberg takes a look at the question , “Does a hard-to-pronounce baby name hurt you?” Critical thinking without “debunking”—this is the way to go.

3 0.70253724 2212 andrew gelman stats-2014-02-15-Mary, Mary, why ya buggin

Introduction: In our Cliff thread from yesterday, sociologist Philip Cohen pointed to his discussions in the decline in the popularity of the name Mary. One thing that came up was the traditional trendiness of girls’ names. So I thought I’d share my thoughts from a couple of years ago, as reported by David Leonhardt: Andrew Gelman, a statistics professor at Columbia and an amateur name-ologist, argues that many parents want their boys to seem mature and so pick classic names. William, David, Joseph and James, all longtime stalwarts, remain in the Top 20. With girls, Gelman says, parents are attracted to names that convey youth even into adulthood and choose names that seem to be on the upswing. By the 1990s, of course, not many girls from the 1880s were still around, and that era’s names could seem fresh again. This search for youthfulness makes girls’ names more volatile — and increasingly so, as more statistics about names become available and parents grow more willing to experiment

4 0.64008951 2211 andrew gelman stats-2014-02-14-The popularity of certain baby names is falling off the clifffffffffffff

Introduction: Ubs writes: I was looking at baby name data last night and I stumbled upon something curious. I follow the baby names blog occasionally but not regularly, so I’m not sure if it’s been noticed before. Let me present it like this: Take the statement… Of the top 100 boys and top 100 girls names, only ___% contain the letter __. I’m using the SSA baby names page, so that’s U.S. births, and I’m looking at the decade of 2000-2009 (so kids currently aged 4 to 13). Which letters would you expect to have the lowest rate of occurrence? As expected, the lowest score is for Q, which appears zero times. (Jacqueline ranks #104 for girls.) It’s the second lowest that surprised me. (… You can pause and try to guess now. Spoilers to follow.) Of the other big-point Scrabble letters, Z appears in four names (Elizabeth, Zachary, Mackenzie, Zoe) and X in six, of which five are closely related (Alexis, Alexander, Alexandra, Alexa, Alex, Xavier). J is heavily overrepresented, especial

5 0.59507126 1583 andrew gelman stats-2012-11-19-I can’t read this interview with me

Introduction: From Alexandr Grigoryev: “Америка: «красная», «синяя» и «пурпурная».” Apparently my name is Эндрю Гелман. I had no idea that the Voice of America even existed anymore!

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lda for this blog:

topicId topicWeight

[(24, 0.07), (41, 0.097), (48, 0.059), (72, 0.152), (75, 0.048), (97, 0.036), (98, 0.182), (99, 0.17)]

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simIndex simValue blogId blogTitle

same-blog 1 0.89356637 2333 andrew gelman stats-2014-05-13-Personally, I’d rather go with Teragram

Introduction: This one stunned me but perhaps will be no surprise to those of you who are under 30. Laura Wattenberg writes : I live in a state where a baby girl is more likely to be named Margaret than Nevaeh. Let me restate that: I live in the only state where a baby girl is more likely to be named Margaret than Nevaeh. Wow. But I guess you can’t really use the name Teragram for a baby girl, it will make it sound like she’s fat.

2 0.76896906 26 andrew gelman stats-2010-05-11-Update on religious affiliations of Supreme Court justices

Introduction: When Sonia Sotomayor was nominated for the Supreme Court, and there was some discussion of having 6 Roman Catholics on the court at the same time, I posted the following historical graph: It’s time for an update: It’s still gonna take awhile for the Catholics to catch up. . . . And this one might be relevant too: It looks as if Jews and men have been overrepresented, also Episcopalians (which, as I noted earlier, are not necessarily considered Protestant in terms of religious doctrine but which I counted as such for the ethnic categorization). Religion is an interesting political variable because it’s nominally about religious belief but typically seems to be more about ethnicity.

3 0.75366879 96 andrew gelman stats-2010-06-18-Course proposal: Bayesian and advanced likelihood statistical methods for zombies.

Introduction: The course outline ZombieCourseOutline.rtf Hints/draft R code for implementing this for a regression example from D. Pena x=c(1:10,17,17,17) y=c(1:10,25,25,25) ZombieAssign1.txt The assignment being to provide a legend that explains all the lines and symbols in this plot ZombieAssign1.pdf With a bonus assignment being to provide better R code and or techniques. And a possible graduate student assignment to investigate what percentage of examples in graduate stats texts (e.g. Cox & Hinkley) could be displayed this way (reducing the number of parameters to least number possible). K? p.s. might have been a better post for Friday the 13th p.s.2 background material from my thesis (passed in 2007) ThesisReprint.pdf

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Introduction: I haven’t linked to the Baby Name Wizard in awhile. . . . Laura Wattenberg takes a look at the question , “Does a hard-to-pronounce baby name hurt you?” Critical thinking without “debunking”—this is the way to go.

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Introduction: To the person who posted an apparently non-spam comment with a URL link to a “cheap cigarettes” website: In case you’re wondering, no, your comment didn’t get caught by the spam filter–I’m not sure why not, given that URL. I put it in the spam file manually. If you’d like to participate in blog discussion in the future, please refrain from including spam links. Thank you. Also, it’s “John Tukey,” not “John Turkey.”

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