andrew_gelman_stats andrew_gelman_stats-2013 andrew_gelman_stats-2013-1787 knowledge-graph by maker-knowledge-mining

1787 andrew gelman stats-2013-04-04-Wanna be the next Tyler Cowen? It’s not as easy as you might think!


meta infos for this blog

Source: html

Introduction: Someone told me he ran into someone who said his goal was to be Tyler Cowen. OK, fine, it’s a worthy goal, but I don’t think it’s so easy .


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 Someone told me he ran into someone who said his goal was to be Tyler Cowen. [sent-1, score-1.594]

2 OK, fine, it’s a worthy goal, but I don’t think it’s so easy . [sent-2, score-0.727]


similar blogs computed by tfidf model

tfidf for this blog:

wordName wordTfidf (topN-words)

[('goal', 0.486), ('worthy', 0.443), ('someone', 0.35), ('ran', 0.331), ('tyler', 0.316), ('told', 0.251), ('easy', 0.217), ('fine', 0.212), ('ok', 0.211), ('said', 0.176), ('think', 0.067)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 1.0 1787 andrew gelman stats-2013-04-04-Wanna be the next Tyler Cowen? It’s not as easy as you might think!

Introduction: Someone told me he ran into someone who said his goal was to be Tyler Cowen. OK, fine, it’s a worthy goal, but I don’t think it’s so easy .

2 0.11153179 1081 andrew gelman stats-2011-12-24-Statistical ethics violation

Introduction: A colleague writes: When I was in NYC I went to this party by group of Japanese bio-scientists. There, one guy told me about how the biggest pharmaceutical company in Japan did their statistics. They ran 100 different tests and reported the most significant one. (This was in 2006 and he said they stopped doing this few years back so they were doing this until pretty recently…) I’m not sure if this was 100 multiple comparison or 100 different kinds of test but I’m sure they wouldn’t want to disclose their data… Ouch!

3 0.1017018 912 andrew gelman stats-2011-09-15-n = 2

Introduction: People in Chicago are nice. The conductor on the train came by and I asked if I could buy a ticket right there. He said yes, $2.50. While I was getting the money he asked if the ticket machine at the station had been broken. I said, I don’t know, I saw the train and ran up the stairs to catch it. He said, that’s not what you’re supposed to say. So I said, that’s right, the machine was broken. It’s just like on that radio show where Peter Sagal hems and haws to clue the contestant in that his guess is wrong so he can try again.

4 0.099746637 276 andrew gelman stats-2010-09-14-Don’t look at just one poll number–unless you really know what you’re doing!

Introduction: Here’s a good one if you want to tell your students about question wording bias. It’s fun because the data are all on the web–the research is something that students could do on their own–if they know what to look for. Another win for Google. Here’s the story. I found the following graph on the front page of the American Enterprise Institute, a well-known D.C. think tank: My first thought was that they should replace this graph by a time series, which would show so much more information. I did a web search and, indeed, looking at a broad range of poll questions over time gives us a much richer perspective on public opinion about Afghanistan than is revealed in the above graph. I did a quick google search (“polling report afghanistan”) and found this . The quick summary is that roughly 40% of Americans favor the Afghan war (down from about 50% from 2006 through early 2009). The Polling Report page also features the Quninipiac poll featured in the above graph; here it r

5 0.090551645 1715 andrew gelman stats-2013-02-09-Thomas Hobbes would be spinning in his grave

Introduction: A few years ago I watched a bunch of Speed Racer cartoons with Phil in a movie theater in the early 90s. These were low-budget Japanese cartoons from the 60s that we loved as kids. From my adult perspective, the best parts were during the characters’ long drives, where you could see Japanese industrial scenes in the background. Similarly, sometimes the most interesting aspect of a book or article is not its overt content but rather its unexamined assumptions. I was reminded of this today when reading the Times this morning. In an interesting column reviewing recent research on happiness (marred only by his decision not to interview any psychology researchers; after all, they’re the academic experts on the topic), Adam Davidson writes : So much debate about government policy is based on economic statistics that come out of the market. But the goal of government is not just to maximize revenue. This perked me up. Not just to maximize revenue? This has to be a sign of the

6 0.089145221 70 andrew gelman stats-2010-06-07-Mister P goes on a date

7 0.085174404 878 andrew gelman stats-2011-08-29-Infovis, infographics, and data visualization: Where I’m coming from, and where I’d like to go

8 0.084227651 1084 andrew gelman stats-2011-12-26-Tweeting the Hits?

9 0.07838282 1440 andrew gelman stats-2012-08-02-“A Christmas Carol” as applied to plagiarism

10 0.078112349 2103 andrew gelman stats-2013-11-16-Objects of the class “Objects of the class”

11 0.077356458 472 andrew gelman stats-2010-12-17-So-called fixed and random effects

12 0.072180703 988 andrew gelman stats-2011-11-02-Roads, traffic, and the importance in decision analysis of carefully examining your goals

13 0.070325561 1994 andrew gelman stats-2013-08-22-“The comment section is open, but I’m not going to read them”

14 0.068515845 528 andrew gelman stats-2011-01-21-Elevator shame is a two-way street

15 0.0684902 1895 andrew gelman stats-2013-06-12-Peter Thiel is writing another book!

16 0.068479307 794 andrew gelman stats-2011-07-09-The quest for the holy graph

17 0.068252638 2006 andrew gelman stats-2013-09-03-Evaluating evidence from published research

18 0.067888066 185 andrew gelman stats-2010-08-04-Why does anyone support private macroeconomic forecasts?

19 0.067346513 169 andrew gelman stats-2010-07-29-Say again?

20 0.067284651 1655 andrew gelman stats-2013-01-05-The statistics software signal


similar blogs computed by lsi model

lsi for this blog:

topicId topicWeight

[(0, 0.065), (1, -0.038), (2, -0.009), (3, 0.013), (4, 0.009), (5, -0.004), (6, 0.042), (7, 0.005), (8, 0.014), (9, -0.008), (10, -0.01), (11, -0.016), (12, -0.004), (13, 0.0), (14, -0.008), (15, 0.004), (16, -0.006), (17, -0.022), (18, 0.044), (19, 0.019), (20, 0.013), (21, -0.027), (22, -0.019), (23, 0.037), (24, -0.027), (25, -0.028), (26, -0.029), (27, -0.028), (28, -0.027), (29, 0.008), (30, 0.042), (31, 0.002), (32, 0.0), (33, 0.002), (34, -0.007), (35, -0.008), (36, -0.005), (37, 0.015), (38, -0.026), (39, -0.001), (40, -0.022), (41, -0.041), (42, 0.02), (43, 0.032), (44, -0.022), (45, 0.028), (46, -0.016), (47, 0.007), (48, -0.003), (49, 0.003)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 0.98501658 1787 andrew gelman stats-2013-04-04-Wanna be the next Tyler Cowen? It’s not as easy as you might think!

Introduction: Someone told me he ran into someone who said his goal was to be Tyler Cowen. OK, fine, it’s a worthy goal, but I don’t think it’s so easy .

2 0.73380625 1007 andrew gelman stats-2011-11-13-At last, treated with the disrespect that I deserve

Introduction: I was at a work-related event today [actually, last month; these non-topical blog entries are on approximately one-month delay], but not connected to the statistics or political science departments. There were a few people there I knew well, and they were introducing me to others. Then at some point when I was talking with one of the more important people in the room, a sixtyish guy comes by and stands next to us. I put out my hand and introduce myself. He looks at me in puzzlement, spits out his first name, and without a pause starts talking to the person I’d been speaking with. After about a minute of talk, he walks away, and the important person and I continued our conversation. No big deal . . . but, I have to admit, I haven’t had that experience very often recently. I’m often at events where I know everyone (or almost everyone) and they know me, and I’m also often at events where I know very few people and have to introduce myself. But it’s rare to be somewhere where I’m

3 0.7258594 430 andrew gelman stats-2010-11-25-The von Neumann paradox

Introduction: I, like Steve Hsu , I too would love to read a definitive biography of John von Neumann (or, as we’d say in the U.S., “John Neumann”). I’ve read little things about him in various places such as Stanislaw Ulam’s classic autobiography, and two things I’ve repeatedly noticed are: 1. Neumann comes off as a obnoxious, self-satisfied jerk. He just seems like the kind of guy I wouldn’t like in real life. 2. All these great men seem to really have loved the guy. It’s hard for me to reconcile two impressions above. Of course, lots of people have a good side and a bad side, but what’s striking here is that my impressions of Neumann’s bad side come from the very stories that his friends use to demonstrate how lovable he was! So, yes, I’d like to see the biography–but only if it could resolve this paradox. Also, I don’t know how relevant this is, but Neumann shares one thing with the more-lovable Ulam and the less-lovable Mandelbrot: all had Jewish backgrounds but didn’t seem to

4 0.72144896 1231 andrew gelman stats-2012-03-27-Attention pollution

Introduction: I just got called by a robo-poll. I really think there should be a law that anyone who wants to call like this should be a real person and supply their home phone number. This sort of one-way contact is nothing more than harassment. As well as poisoning the well by reducing the inclination of people to participate in legitimate surveys.

5 0.71662587 763 andrew gelman stats-2011-06-13-Inventor of Connect Four dies at 91

Introduction: Obit here . I think I have a cousin with the same last name as this guy, so maybe we’re related by marriage in some way. (By that standard we’re also related to Marge Simpson and, I seem to recall, the guy who wrote the scripts for Dark Shadows.)

6 0.70651174 693 andrew gelman stats-2011-05-04-Don’t any statisticians work for the IRS?

7 0.69508666 1796 andrew gelman stats-2013-04-09-The guy behind me on line for the train . . .

8 0.69163382 1597 andrew gelman stats-2012-11-29-What is expected of a consultant

9 0.68772346 912 andrew gelman stats-2011-09-15-n = 2

10 0.6844548 1003 andrew gelman stats-2011-11-11-$

11 0.68020535 1882 andrew gelman stats-2013-06-03-The statistical properties of smart chains (and referral chains more generally)

12 0.6775924 395 andrew gelman stats-2010-11-05-Consulting: how do you figure out what to charge?

13 0.67433959 1457 andrew gelman stats-2012-08-13-Retro ethnic slurs

14 0.67429739 1935 andrew gelman stats-2013-07-12-“A tangle of unexamined emotional impulses and illogical responses”

15 0.66999412 1707 andrew gelman stats-2013-02-05-Glenn Hubbard and I were on opposite sides of a court case and I didn’t even know it!

16 0.66784424 868 andrew gelman stats-2011-08-24-Blogs vs. real journalism

17 0.66659391 2197 andrew gelman stats-2014-02-04-Peabody here.

18 0.66178346 835 andrew gelman stats-2011-08-02-“The sky is the limit” isn’t such a good thing

19 0.6608209 1536 andrew gelman stats-2012-10-16-Using economics to reduce bike theft

20 0.65844423 701 andrew gelman stats-2011-05-07-Bechdel wasn’t kidding


similar blogs computed by lda model

lda for this blog:

topicId topicWeight

[(16, 0.082), (24, 0.351), (63, 0.112), (99, 0.218)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 0.98940128 1787 andrew gelman stats-2013-04-04-Wanna be the next Tyler Cowen? It’s not as easy as you might think!

Introduction: Someone told me he ran into someone who said his goal was to be Tyler Cowen. OK, fine, it’s a worthy goal, but I don’t think it’s so easy .

2 0.95965779 482 andrew gelman stats-2010-12-23-Capitalism as a form of voluntarism

Introduction: Interesting discussion by Alex Tabarrok (following up on an article by Rebecca Solnit) on the continuum between voluntarism (or, more generally, non-cash transactions) and markets with monetary exchange. I just have a few comments of my own: 1. Solnit writes of “the iceberg economy,” which she characterizes as “based on gift economies, barter, mutual aid, and giving without hope of return . . . the relations between friends, between family members, the activities of volunteers or those who have chosen their vocation on principle rather than for profit.” I just wonder whether “barter” completely fits in here. Maybe it depends on context. Sometimes barter is an informal way of keeping track (you help me and I help you), but in settings of low liquidity I could imagine barter being simply an inefficient way of performing an economic transaction. 2. I am no expert on capitalism but my impression is that it’s not just about “competition and selfishness” but also is related to the

3 0.95877838 1092 andrew gelman stats-2011-12-29-More by Berger and me on weakly informative priors

Introduction: A couple days ago we discussed some remarks by Tony O’Hagan and Jim Berger on weakly informative priors. Jim followed up on Deborah Mayo’s blog with this: Objective Bayesian priors are often improper (i.e., have infinite total mass), but this is not a problem when they are developed correctly. But not every improper prior is satisfactory. For instance, the constant prior is known to be unsatisfactory in many situations. The ‘solution’ pseudo-Bayesians often use is to choose a constant prior over a large but bounded set (a ‘weakly informative’ prior), saying it is now proper and so all is well. This is not true; if the constant prior on the whole parameter space is bad, so will be the constant prior over the bounded set. The problem is, in part, that some people confuse proper priors with subjective priors and, having learned that true subjective priors are fine, incorrectly presume that weakly informative proper priors are fine. I have a few reactions to this: 1. I agree

4 0.95812213 938 andrew gelman stats-2011-10-03-Comparing prediction errors

Introduction: Someone named James writes: I’m working on a classification task, sentence segmentation. The classifier algorithm we use (BoosTexter, a boosted learning algorithm) classifies each word independently conditional on its features, i.e. a bag-of-words model, so any contextual clues need to be encoded into the features. The feature extraction system I am proposing in my thesis uses a heteroscedastic LDA to transform data to produce the features the classifier runs on. The HLDA system has a couple parameters I’m testing, and I’m running a 3×2 full factorial experiment. That’s the background which may or may not be relevant to the question. The output of each trial is a class (there are only 2 classes, right now) for every word in the dataset. Because of the nature of the task, one class strongly predominates, say 90-95% of the data. My question is this: in terms of overall performance (we use F1 score), many of these trials are pretty close together, which leads me to ask whethe

5 0.95762318 743 andrew gelman stats-2011-06-03-An argument that can’t possibly make sense

Introduction: Tyler Cowen writes : Texas has begun to enforce [a law regarding parallel parking] only recently . . . Up until now, of course, there has been strong net mobility into the state of Texas, so was the previous lack of enforcement so bad? I care not at all about the direction in which people park their cars and I have no opinion on this law, but I have to raise an alarm at Cowen’s argument here. Let me strip it down to its basic form: 1. Until recently, state X had policy A. 2. Up until now, there has been strong net mobility into state X 3. Therefore, the presumption is that policy A is ok. In this particular case, I think we can safely assume that parallel parking regulations have had close to zero impact on the population flows into and out of Texas. More generally, I think logicians could poke some holes into the argument that 1 and 2 above imply 3. For one thing, you could apply this argument to any policy in any state that’s had positive net migration. Hai

6 0.95568967 1479 andrew gelman stats-2012-09-01-Mothers and Moms

7 0.95414233 1706 andrew gelman stats-2013-02-04-Too many MC’s not enough MIC’s, or What principles should govern attempts to summarize bivariate associations in large multivariate datasets?

8 0.95291436 1376 andrew gelman stats-2012-06-12-Simple graph WIN: the example of birthday frequencies

9 0.95168471 1978 andrew gelman stats-2013-08-12-Fixing the race, ethnicity, and national origin questions on the U.S. Census

10 0.95065755 1258 andrew gelman stats-2012-04-10-Why display 6 years instead of 30?

11 0.95028931 241 andrew gelman stats-2010-08-29-Ethics and statistics in development research

12 0.95008945 38 andrew gelman stats-2010-05-18-Breastfeeding, infant hyperbilirubinemia, statistical graphics, and modern medicine

13 0.94801325 1455 andrew gelman stats-2012-08-12-Probabilistic screening to get an approximate self-weighted sample

14 0.94777805 643 andrew gelman stats-2011-04-02-So-called Bayesian hypothesis testing is just as bad as regular hypothesis testing

15 0.94745833 278 andrew gelman stats-2010-09-15-Advice that might make sense for individuals but is negative-sum overall

16 0.94673479 1316 andrew gelman stats-2012-05-12-black and Black, white and White

17 0.94533199 1891 andrew gelman stats-2013-06-09-“Heterogeneity of variance in experimental studies: A challenge to conventional interpretations”

18 0.94264007 197 andrew gelman stats-2010-08-10-The last great essayist?

19 0.94188267 2143 andrew gelman stats-2013-12-22-The kluges of today are the textbook solutions of tomorrow.

20 0.94163358 1999 andrew gelman stats-2013-08-27-Bayesian model averaging or fitting a larger model