andrew_gelman_stats andrew_gelman_stats-2011 andrew_gelman_stats-2011-1083 knowledge-graph by maker-knowledge-mining

1083 andrew gelman stats-2011-12-26-The quals and the quants


meta infos for this blog

Source: html

Introduction: After I recently criticized Gregg Easterbrook for assigning Obama an implausible 90+% chance of beating Mitt Romney, some commenters thought I was being too critical, that I should cut Easterbrook some slack because he just was speaking metaphorically. In other words, Easterbrook is a “qual.” He uses numbers in his writing because that’s what everyone is supposed to do nowadays, but he doesn’t intend those numbers to be meant literally. Similarly, he presumably didn’t really mean it when he wrote that Scott Brown and Elizabeth Warren “couldn’t be more different — personally or politically.” And he had no problem typing that Obama’s approval rating was 23% because, to him, “23%” is just another word for “low.” He’s a qual, that’s all. Similarly, when Samantha Power was just being a qual when she wrote the meaningful-sounding but actually empty statement, “Since 1968, with the single exception of the election of George W. Bush in 2000, Americans have chosen Republican pres


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 After I recently criticized Gregg Easterbrook for assigning Obama an implausible 90+% chance of beating Mitt Romney, some commenters thought I was being too critical, that I should cut Easterbrook some slack because he just was speaking metaphorically. [sent-1, score-0.259]

2 ” He uses numbers in his writing because that’s what everyone is supposed to do nowadays, but he doesn’t intend those numbers to be meant literally. [sent-3, score-0.424]

3 Similarly, he presumably didn’t really mean it when he wrote that Scott Brown and Elizabeth Warren “couldn’t be more different — personally or politically. [sent-4, score-0.075]

4 ” And he had no problem typing that Obama’s approval rating was 23% because, to him, “23%” is just another word for “low. [sent-5, score-0.081]

5 Similarly, when Samantha Power was just being a qual when she wrote the meaningful-sounding but actually empty statement, “Since 1968, with the single exception of the election of George W. [sent-7, score-0.438]

6 Bush in 2000, Americans have chosen Republican presidents in times of perceived danger and Democrats in times of relative calm. [sent-8, score-0.153]

7 ) What really irritates me are when quals are overconfident about throwing around numbers that don’t make sense. [sent-10, score-0.706]

8 I get irritated in the same way that Bill James gets annoyed by baseball writers who disparage statistics and then turn around and celebrate some player who had flashy stats one year in a hitter’s park. [sent-12, score-0.541]

9 I get particularly annoyed when such people speak with an air of authority. [sent-13, score-0.125]

10 As noted above, I think there’s a lot of great qualitative research being done. [sent-28, score-0.205]

11 What I don’t like is the Easterbrook-like attitude that numbers can be thrown around without consequences, and what I was exploring in my post above was the impression that many people seem to have that what Easterbrook was doing was just fine. [sent-29, score-0.259]

12 If Easterbrook wants to give his subjective impressions, or if he wants to do a Thomas Friedman and interview some taxi drivers, that’s fine. [sent-30, score-0.281]


similar blogs computed by tfidf model

tfidf for this blog:

wordName wordTfidf (topN-words)

[('easterbrook', 0.45), ('qual', 0.221), ('qualitative', 0.205), ('quals', 0.201), ('numbers', 0.174), ('samantha', 0.17), ('gregg', 0.15), ('annoyed', 0.125), ('george', 0.101), ('rhoads', 0.1), ('slack', 0.1), ('wants', 0.099), ('quantitative', 0.098), ('obama', 0.097), ('longtime', 0.095), ('flashy', 0.095), ('almanac', 0.095), ('dinged', 0.095), ('scream', 0.095), ('similarly', 0.093), ('theorist', 0.091), ('runciman', 0.091), ('celebrate', 0.087), ('around', 0.085), ('beating', 0.085), ('power', 0.083), ('colorado', 0.083), ('taxi', 0.083), ('irritates', 0.083), ('make', 0.082), ('typing', 0.081), ('overconfident', 0.081), ('danger', 0.079), ('legendary', 0.079), ('barone', 0.079), ('warren', 0.079), ('impressions', 0.079), ('orwell', 0.076), ('elizabeth', 0.076), ('intend', 0.076), ('mitt', 0.076), ('wrote', 0.075), ('disparage', 0.075), ('irritated', 0.074), ('assigning', 0.074), ('exception', 0.074), ('presidents', 0.074), ('friedman', 0.073), ('drivers', 0.068), ('empty', 0.068)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 0.99999994 1083 andrew gelman stats-2011-12-26-The quals and the quants

Introduction: After I recently criticized Gregg Easterbrook for assigning Obama an implausible 90+% chance of beating Mitt Romney, some commenters thought I was being too critical, that I should cut Easterbrook some slack because he just was speaking metaphorically. In other words, Easterbrook is a “qual.” He uses numbers in his writing because that’s what everyone is supposed to do nowadays, but he doesn’t intend those numbers to be meant literally. Similarly, he presumably didn’t really mean it when he wrote that Scott Brown and Elizabeth Warren “couldn’t be more different — personally or politically.” And he had no problem typing that Obama’s approval rating was 23% because, to him, “23%” is just another word for “low.” He’s a qual, that’s all. Similarly, when Samantha Power was just being a qual when she wrote the meaningful-sounding but actually empty statement, “Since 1968, with the single exception of the election of George W. Bush in 2000, Americans have chosen Republican pres

2 0.39761525 959 andrew gelman stats-2011-10-14-The most clueless political column ever—I think this Easterbrook dude has the journalistic equivalent of “tenure”

Introduction: I don’t know when I’ve seen political writing quote so misinformed as this. It’s a bizarre mixture of cliches, non-sequitors, and outright mistakes. The author is Gregg Easterbrook and he’s writing for Reuters . First, the cliches: Right now Romney seems to be the frontrunner, which, of course, is a mixed blessing. His aura of experience and reasonableness could prove quite appealing to voters. Perry continues to have the potential to light a populist fire. . . . Of all the 2012 candidates, Huntsman is the one who is Not Just Another Politician. And now the errors. At this point in the 1992 election cycle, the elder George Bush held an 89 percent approval rating. . . . Clinton beat a popular incumbent with a fantastic approval rating. For the 2012 election, Barack Obama is just as vulnerable as the elder Bush, if not even more so. Obama currently has an approval rating of 23 percent. This is all fine, except that: 1. It’s not true that at this point in the 1992 elec

3 0.34960067 1075 andrew gelman stats-2011-12-20-This guy has a regular column at Reuters

Introduction: Gregg Easterbrook : Gingrich is a wild card. He probably would end up a flaming wreckage in electoral terms, but there’s a chance he could become seen as the man unafraid to bring sweeping change to an ossified Washington, D.C. There’s perhaps a 90 percent likelihood Obama would wipe the floor with Gingrich, versus a 10 percent likelihood Gingrich would stage an historic upset. This is the dumbest thing I’ve seen since . . . ummm, I dunno, how bout this ? It actually gets worse because Easterbrook then invokes game theory. What next? Catastrophe theory? Intelligent design? P.S. Maybe I should explain for readers without an education in probability theory. Let’s suppose “wipe the floor” means that Obama gets 55%+ of the two-party vote, and let’s suppose that “an historic upset” means that Obama gets less than 50% of the vote. Now try to draw a forecast distribution that has 90% of its probability above 0.55 and 10% of it’s probability below 0.50. It’s a pretty weird-loo

4 0.22480056 1830 andrew gelman stats-2013-04-29-Giving credit where due

Introduction: Gregg Easterbrook may not always be on the ball, but I 100% endorse the last section of his recent column (scroll down to “Absurd Specificity Watch”). Earlier in the column, Easterbrook has a plug for Tim Tebow. I’d forgotten about Tim Tebow.

5 0.20354304 967 andrew gelman stats-2011-10-20-Picking on Gregg Easterbrook

Introduction: I don’t want to make a habit of this, but . . . I was curious what Easterbrook would write as a follow-up to his recent Huntsman puff, and here’s what he came up with: Tired of cookie-cutter political contests between hauntingly similar candidates? Then you’re going to like the upcoming race for one of the Senate seats in the late Ted Kennedy’s haunting grounds. Elizabeth Warren, best known for creating and fighting for the Consumer Financial Protection Bureau, is hoping to challenge Republican incumbent Scott Brown. They’re both qualified, but they couldn’t be more different — personally or politically. Um, no. 1. It seems a bit of a stretch to say the two candidates “couldn’t be more different personally.” Brown is a 52-year-old married white lawyer with two children. Warren is a 62-year-old married white lawyer with three children. According to Wikipedia, they both had middle-class backgrounds, Brown in Massachusetts and Warren in Oklahoma, and they suffered some per

6 0.15044716 966 andrew gelman stats-2011-10-20-A qualified but incomplete thanks to Gregg Easterbrook’s editor at Reuters

7 0.12914969 2255 andrew gelman stats-2014-03-19-How Americans vote

8 0.11797774 711 andrew gelman stats-2011-05-14-Steven Rhoads’s book, “The Economist’s View of the World”

9 0.11587085 1640 andrew gelman stats-2012-12-26-What do people do wrong? WSJ columnist is looking for examples!

10 0.098705977 2269 andrew gelman stats-2014-03-27-Beyond the Valley of the Trolls

11 0.0975926 1574 andrew gelman stats-2012-11-12-How to Lie With Statistics example number 12,498,122

12 0.097589359 697 andrew gelman stats-2011-05-05-A statistician rereads Bill James

13 0.097047091 652 andrew gelman stats-2011-04-07-Minor-league Stats Predict Major-league Performance, Sarah Palin, and Some Differences Between Baseball and Politics

14 0.09478838 1729 andrew gelman stats-2013-02-20-My beef with Brooks: the alternative to “good statistics” is not “no statistics,” it’s “bad statistics”

15 0.087440439 394 andrew gelman stats-2010-11-05-2010: What happened?

16 0.085679621 2177 andrew gelman stats-2014-01-19-“The British amateur who debunked the mathematics of happiness”

17 0.083953194 721 andrew gelman stats-2011-05-20-Non-statistical thinking in the US foreign policy establishment

18 0.083097965 541 andrew gelman stats-2011-01-27-Why can’t I be more like Bill James, or, The use of default and default-like models

19 0.076870166 1562 andrew gelman stats-2012-11-05-Let’s try this: Instead of saying, “The probability is 75%,” say “There’s a 25% chance I’m wrong”

20 0.076603793 135 andrew gelman stats-2010-07-09-Rasmussen sez: “108% of Respondents Say . . .”


similar blogs computed by lsi model

lsi for this blog:

topicId topicWeight

[(0, 0.155), (1, -0.091), (2, 0.037), (3, 0.076), (4, -0.066), (5, -0.015), (6, 0.014), (7, 0.002), (8, 0.002), (9, -0.025), (10, 0.001), (11, 0.023), (12, -0.0), (13, -0.04), (14, -0.058), (15, 0.017), (16, -0.039), (17, -0.004), (18, 0.059), (19, 0.021), (20, -0.014), (21, 0.023), (22, 0.043), (23, 0.049), (24, -0.038), (25, 0.029), (26, -0.052), (27, -0.018), (28, -0.018), (29, -0.053), (30, 0.056), (31, 0.029), (32, -0.028), (33, 0.01), (34, -0.042), (35, 0.021), (36, -0.012), (37, -0.003), (38, 0.007), (39, -0.043), (40, 0.093), (41, -0.001), (42, 0.015), (43, 0.026), (44, 0.008), (45, -0.011), (46, -0.01), (47, 0.039), (48, -0.033), (49, -0.113)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 0.94582862 1083 andrew gelman stats-2011-12-26-The quals and the quants

Introduction: After I recently criticized Gregg Easterbrook for assigning Obama an implausible 90+% chance of beating Mitt Romney, some commenters thought I was being too critical, that I should cut Easterbrook some slack because he just was speaking metaphorically. In other words, Easterbrook is a “qual.” He uses numbers in his writing because that’s what everyone is supposed to do nowadays, but he doesn’t intend those numbers to be meant literally. Similarly, he presumably didn’t really mean it when he wrote that Scott Brown and Elizabeth Warren “couldn’t be more different — personally or politically.” And he had no problem typing that Obama’s approval rating was 23% because, to him, “23%” is just another word for “low.” He’s a qual, that’s all. Similarly, when Samantha Power was just being a qual when she wrote the meaningful-sounding but actually empty statement, “Since 1968, with the single exception of the election of George W. Bush in 2000, Americans have chosen Republican pres

2 0.89449048 959 andrew gelman stats-2011-10-14-The most clueless political column ever—I think this Easterbrook dude has the journalistic equivalent of “tenure”

Introduction: I don’t know when I’ve seen political writing quote so misinformed as this. It’s a bizarre mixture of cliches, non-sequitors, and outright mistakes. The author is Gregg Easterbrook and he’s writing for Reuters . First, the cliches: Right now Romney seems to be the frontrunner, which, of course, is a mixed blessing. His aura of experience and reasonableness could prove quite appealing to voters. Perry continues to have the potential to light a populist fire. . . . Of all the 2012 candidates, Huntsman is the one who is Not Just Another Politician. And now the errors. At this point in the 1992 election cycle, the elder George Bush held an 89 percent approval rating. . . . Clinton beat a popular incumbent with a fantastic approval rating. For the 2012 election, Barack Obama is just as vulnerable as the elder Bush, if not even more so. Obama currently has an approval rating of 23 percent. This is all fine, except that: 1. It’s not true that at this point in the 1992 elec

3 0.87079316 1075 andrew gelman stats-2011-12-20-This guy has a regular column at Reuters

Introduction: Gregg Easterbrook : Gingrich is a wild card. He probably would end up a flaming wreckage in electoral terms, but there’s a chance he could become seen as the man unafraid to bring sweeping change to an ossified Washington, D.C. There’s perhaps a 90 percent likelihood Obama would wipe the floor with Gingrich, versus a 10 percent likelihood Gingrich would stage an historic upset. This is the dumbest thing I’ve seen since . . . ummm, I dunno, how bout this ? It actually gets worse because Easterbrook then invokes game theory. What next? Catastrophe theory? Intelligent design? P.S. Maybe I should explain for readers without an education in probability theory. Let’s suppose “wipe the floor” means that Obama gets 55%+ of the two-party vote, and let’s suppose that “an historic upset” means that Obama gets less than 50% of the vote. Now try to draw a forecast distribution that has 90% of its probability above 0.55 and 10% of it’s probability below 0.50. It’s a pretty weird-loo

4 0.78401059 1574 andrew gelman stats-2012-11-12-How to Lie With Statistics example number 12,498,122

Introduction: This post is by Phil Price. Bill Kristol notes that “Four presidents in the last century have won more than 51 percent of the vote twice: Roosevelt, Eisenhower, Reagan and Obama”. I’m not sure why Kristol, a conservative, is promoting the idea that Obama has a mandate, but that’s up to him. I’m more interested in the remarkable bit of cherry-picking that led to this “only four presidents” statistic. There was one way in which Obama’s victory was large: he won the electoral college 332-206. That’s a thrashing. But if you want to claim that Obama has a “popular mandate” — which people seem to interpret as an overwhelming preference of The People such that the opposition is morally obligated to give way — you can’t make that argument based on the electoral college, you have to look at the popular vote. That presents you with a challenge for the 2012 election, since Obama’s 2.7-point margin in the popular vote was the 12th-smallest out of the 57 elections we’ve had. There’s a nice sor

5 0.77648669 966 andrew gelman stats-2011-10-20-A qualified but incomplete thanks to Gregg Easterbrook’s editor at Reuters

Introduction: Dear Reuters editor: Thanks for reading my blog and correcting the erroneous numbers in Easterbrook’s column from the other day. I’m pretty sure you got the corrections from my blog because in your corrections you used the exact same links that I posted. I think your readers will like that you gave links to the sources of your numbers. But I’d appreciate if you cite me! It’s considered polite to credit your sources rather than just copying over numbers and links with no mention of where they came from. Unlike Easterbrook, I’m not expecting to be paid for this material but I’d still like to be thanked. (See the last paragraph of this post by Felix Salmon for more on the desirability of linking to your sources.) Also, since you’re correcting the article anyway, maybe you could go back and change this sentence too: But don’t sell Huntsman short because he is low in the polls – Obama had been at that point, too. As I noted earlier, As of 14 Oct 2011, Gallup gi

6 0.7676779 1830 andrew gelman stats-2013-04-29-Giving credit where due

7 0.73764902 967 andrew gelman stats-2011-10-20-Picking on Gregg Easterbrook

8 0.73040241 1562 andrew gelman stats-2012-11-05-Let’s try this: Instead of saying, “The probability is 75%,” say “There’s a 25% chance I’m wrong”

9 0.72243303 1479 andrew gelman stats-2012-09-01-Mothers and Moms

10 0.71527994 1569 andrew gelman stats-2012-11-08-30-30-40 Nation

11 0.71312857 885 andrew gelman stats-2011-09-01-Needed: A Billionaire Candidate for President Who Shares the Views of a Washington Post Columnist

12 0.7077933 551 andrew gelman stats-2011-02-02-Obama and Reagan, sitting in a tree, etc.

13 0.70777428 84 andrew gelman stats-2010-06-14-Is it 1930?

14 0.70264935 1556 andrew gelman stats-2012-11-01-Recently in the sister blogs: special pre-election edition!

15 0.69854444 1103 andrew gelman stats-2012-01-06-Unconvincing defense of the recent Russian elections, and a problem when an official organ of an academic society has low standards for publication

16 0.68872112 588 andrew gelman stats-2011-02-24-In case you were wondering, here’s the price of milk

17 0.67685163 652 andrew gelman stats-2011-04-07-Minor-league Stats Predict Major-league Performance, Sarah Palin, and Some Differences Between Baseball and Politics

18 0.66019315 521 andrew gelman stats-2011-01-17-“the Tea Party’s ire, directed at Democrats and Republicans alike”

19 0.65344453 394 andrew gelman stats-2010-11-05-2010: What happened?

20 0.63799661 143 andrew gelman stats-2010-07-12-Statistical fact checking needed, or, No, Ronald Reagan did not win “overwhelming support from evangelicals”


similar blogs computed by lda model

lda for this blog:

topicId topicWeight

[(2, 0.012), (3, 0.059), (16, 0.116), (21, 0.017), (24, 0.125), (27, 0.038), (36, 0.011), (54, 0.08), (55, 0.034), (72, 0.034), (75, 0.013), (83, 0.024), (86, 0.039), (89, 0.013), (99, 0.225)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 0.94269067 1083 andrew gelman stats-2011-12-26-The quals and the quants

Introduction: After I recently criticized Gregg Easterbrook for assigning Obama an implausible 90+% chance of beating Mitt Romney, some commenters thought I was being too critical, that I should cut Easterbrook some slack because he just was speaking metaphorically. In other words, Easterbrook is a “qual.” He uses numbers in his writing because that’s what everyone is supposed to do nowadays, but he doesn’t intend those numbers to be meant literally. Similarly, he presumably didn’t really mean it when he wrote that Scott Brown and Elizabeth Warren “couldn’t be more different — personally or politically.” And he had no problem typing that Obama’s approval rating was 23% because, to him, “23%” is just another word for “low.” He’s a qual, that’s all. Similarly, when Samantha Power was just being a qual when she wrote the meaningful-sounding but actually empty statement, “Since 1968, with the single exception of the election of George W. Bush in 2000, Americans have chosen Republican pres

2 0.94017267 615 andrew gelman stats-2011-03-16-Chess vs. checkers

Introduction: Mark Palko writes : Chess derives most of its complexity through differentiated pieces; with checkers the complexity comes from the interaction between pieces. The result is a series of elegant graph problems where the viable paths change with each move of your opponent. To draw an analogy with chess, imagine if moving your knight could allow your opponent’s bishop to move like a rook. Add to that the potential for traps and manipulation that come with forced capture and you have one of the most remarkable games of all time. . . . It’s not unusual to hear masters of both chess and checkers (draughts) to admit that they prefer the latter. So why does chess get all the respect? Why do you never see a criminal mastermind or a Bond villain playing in a checkers tournament? Part of the problem is that we learn the game as children so we tend to think of it as a children’s game. We focus on how simple the rules are and miss how much complexity and subtlety you can get out of those ru

3 0.91943419 2121 andrew gelman stats-2013-12-02-Should personal genetic testing be regulated? Battle of the blogroll

Introduction: On the side of less regulation is Alex Tabarrok in “Our DNA, Our Selves”: At the same time that the NSA is secretly and illegally obtaining information about Americans the FDA is making it illegal for Americans to obtain information about themselves. In a warning letter the FDA has told Anne Wojcicki, The Most Daring CEO In America, that she “must immediately discontinue” selling 23andMe’s Personal Genome Service . . . Alex clarifies: I am not offended by all regulation of genetic tests. Indeed, genetic tests are already regulated. . . . the Clinical Laboratory Improvement Amendments (CLIA) . . . requires all labs, including the labs used by 23andMe, to be inspected for quality control, record keeping and the qualifications of their personnel. . . . What the FDA wants to do is categorically different. The FDA wants to regulate genetic tests as a high-risk medical device . . . the FDA wants to judge . . . the clinical validity, whether particular identified alleles are cau

4 0.91192454 322 andrew gelman stats-2010-10-06-More on the differences between drugs and medical devices

Introduction: Someone who works in statistics in the pharmaceutical industry (but prefers to remain anonymous) sent me this update to our discussion on the differences between approvals of drugs and medical devices: The ‘substantial equivalence’ threshold is a very outdated. Basically the FDA has to follow federal law and the law is antiquated and leads to two extraordinarily different paths for device approval. You could have a very simple but first-in-kind device with an easy to understand physiological mechanism of action (e.g. the FDA approved a simple tiny stent that would relieve pressure from a glaucoma patient’s eye this summer). This device would require a standard (likely controlled) trial at the one-sided 0.025 level. Even after the trial it would likely go to a panel where outside experts (e.g.practicing & academic MDs and statisticians) hear evidence from the company and FDA and vote on its safety and efficacy. FDA would then rule, consider the panel’s vote, on whether to appro

5 0.91019237 1889 andrew gelman stats-2013-06-08-Using trends in R-squared to measure progress in criminology??

Introduction: Torbjørn Skardhamar writes: I am a sociologist/criminologist working at Statistics Norway. As I am not a trained statistician, I find myself sometimes in need to check basic statistical concepts. Recently, I came across an article which I found a bit strange, but I needed to check up on my statistical understanding of a very basic concept: the r-squared. When doing so, I realized that this was also an interesting case of research ethics. Given your interest in research ethics, I though this might be interesting to you. Here’s the mentioned article, by Weisburd and Piquero, is attached. What they do is to analyzed reported results from all articles published in the highest ranking criminological journal since 1968 through 2005 to determine whether there are any progress in the field of criminology. Their approach is basically to calculate the average r-square from linear models in published articles. For example, they state that “variance explained provides one way to assess

6 0.9091053 503 andrew gelman stats-2011-01-04-Clarity on my email policy

7 0.90736413 2179 andrew gelman stats-2014-01-20-The AAA Tranche of Subprime Science

8 0.90636277 1016 andrew gelman stats-2011-11-17-I got 99 comparisons but multiplicity ain’t one

9 0.90594554 411 andrew gelman stats-2010-11-13-Ethical concerns in medical trials

10 0.90527034 94 andrew gelman stats-2010-06-17-SAT stories

11 0.90423286 1473 andrew gelman stats-2012-08-28-Turing chess run update

12 0.90311277 722 andrew gelman stats-2011-05-20-Why no Wegmania?

13 0.90266132 1578 andrew gelman stats-2012-11-15-Outta control political incorrectness

14 0.90240669 959 andrew gelman stats-2011-10-14-The most clueless political column ever—I think this Easterbrook dude has the journalistic equivalent of “tenure”

15 0.90221906 120 andrew gelman stats-2010-06-30-You can’t put Pandora back in the box

16 0.90204334 839 andrew gelman stats-2011-08-04-To commenters who are trying to sell something

17 0.9020068 1019 andrew gelman stats-2011-11-19-Validation of Software for Bayesian Models Using Posterior Quantiles

18 0.90184402 1980 andrew gelman stats-2013-08-13-Test scores and grades predict job performance (but maybe not at Google)

19 0.90095043 594 andrew gelman stats-2011-02-28-Behavioral economics doesn’t seem to have much to say about marriage

20 0.90044546 187 andrew gelman stats-2010-08-05-Update on state size and governors’ popularity