andrew_gelman_stats andrew_gelman_stats-2011 andrew_gelman_stats-2011-719 knowledge-graph by maker-knowledge-mining

719 andrew gelman stats-2011-05-19-Everything is Obvious (once you know the answer)


meta infos for this blog

Source: html

Introduction: Duncan Watts gave his new book the above title, reflecting his irritation with those annoying people who, upon hearing of the latest social science research, reply with: Duh-I-knew-that. (I don’t know how to say Duh in Australian; maybe someone can translate that for me?) I, like Duncan, am easily irritated, and I looked forward to reading the book. I enjoyed it a lot, even though it has only one graph, and that graph has a problem with its y-axis. (OK, the book also has two diagrams and a graph of fake data, but that doesn’t count.) Before going on, let me say that I agree wholeheartedly with Duncan’s central point: social science research findings are often surprising, but the best results cause us to rethink our world in such a way that they seem completely obvious, in retrospect. (Don Rubin used to tell us that there’s no such thing as a “paradox”: once you fully understand a phenomenon, it should not seem paradoxical any more. When learning science, we sometimes speak


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 Duncan Watts gave his new book the above title, reflecting his irritation with those annoying people who, upon hearing of the latest social science research, reply with: Duh-I-knew-that. [sent-1, score-0.318]

2 ) Before going on, let me say that I agree wholeheartedly with Duncan’s central point: social science research findings are often surprising, but the best results cause us to rethink our world in such a way that they seem completely obvious, in retrospect. [sent-6, score-0.258]

3 Everything is Obvious is half a science book and half a business book. [sent-11, score-0.271]

4 The science is all about how information cascades make the world unpredictable, with the recurring theme that our commonsense understanding of the world is often wrong. [sent-12, score-0.183]

5 The business part of the book was ok–I’m not saying it was filler–it’s just that I’m not particularly interested in which format of videocassette wins, or whether Cisco Systems is a well-run company. [sent-15, score-0.214]

6 I also realize that the business insights are relevant for many other aspects of the social world (including but not limited to all sorts of organizations that are not businesses). [sent-17, score-0.308]

7 The albedo-obsessed billionaire Duncan points out that social science is difficult and that physicists and other authority figures often don’t recognize the discoveries made by social scientists. [sent-79, score-0.29]

8 and Microsoft billionaire who likes to invoke albedo (the reflectivity of surfaces) whenever he gets stuck on a physics problem. [sent-83, score-0.287]

9 in physics too, and I certainly wouldn’t trust myself on a physics question. [sent-90, score-0.246]

10 ” So far, no problem: after all, “satisfy their preferences” could always just be the tautology that people do what they want to do (and, as Duncan notes, rational choice models can easily devolve into tautology). [sent-115, score-0.198]

11 It is perfectly possible to apply rational means to other-directed ends (or, for that matter, to be irrational in pursuit of selfish gains, as illustrated by the Human Highlight Film the other day . [sent-132, score-0.214]

12 ) Two kinds of economists’ stories Duncan writes that economists “illustrate the power of rational choice theory in a series of stories about initially puzzling behavior that, upon closer examination, turns out to be perfectly rational. [sent-133, score-0.239]

13 Behavior that looks irrational is actually completely rational once you think like an economist. [sent-137, score-0.214]

14 People are irrational and they need economists, with their open minds, to show them how to be rational and efficient. [sent-139, score-0.214]

15 consequences for outcomes Duncan describes the story of a person who killed some people while driving a car under the influence of alcohol and points out the difficult in imposing punishment. [sent-154, score-0.205]

16 On the other hand, there would seem to be no political will for generally imposing harsh penalties on dangerous driving in the vast majority of cases where nobody gets hurt. [sent-156, score-0.171]

17 Duncan writes, “it seems grossly disproportionate to treat every otherwise, decent honest person who has ever had a few too many drinks and driven home as a criminal and a killer. [sent-163, score-0.209]

18 The distinction is statistical, but real; Conditional on running a red light and killing several people while driving drunk, I’d say that this person is (a) likely not to be completely decent and honest and (b) likely to be a repeat offender . [sent-175, score-0.35]

19 - Chapter 2 discussed Eric Johnson and Dan Goldstein’s finding that people are much more likely to agree to organ donation if agreement is the default option: for example, in Germany only 12% of people agree to be organ donors, while the rate is 99. [sent-211, score-0.266]

20 But figure 1 of this paper by Kieran Healy reports a rate of actual cadaveric donation as 25 per million people in Austria and about 12 per million in Germany. [sent-213, score-0.201]


similar blogs computed by tfidf model

tfidf for this blog:

wordName wordTfidf (topN-words)

[('duncan', 0.514), ('watts', 0.235), ('alda', 0.144), ('rational', 0.123), ('business', 0.111), ('yahoo', 0.111), ('book', 0.103), ('jupiter', 0.095), ('obvious', 0.092), ('ariely', 0.091), ('physics', 0.091), ('irrational', 0.091), ('columbia', 0.083), ('social', 0.083), ('drunk', 0.083), ('decent', 0.081), ('gladwell', 0.078), ('people', 0.075), ('reflectivity', 0.074), ('gribbin', 0.074), ('vegas', 0.074), ('rationality', 0.068), ('billionaire', 0.067), ('driving', 0.066), ('honest', 0.064), ('trust', 0.064), ('person', 0.064), ('world', 0.063), ('million', 0.063), ('freedom', 0.061), ('taleb', 0.06), ('stories', 0.058), ('door', 0.058), ('organ', 0.058), ('unwritten', 0.058), ('science', 0.057), ('satisfy', 0.057), ('likes', 0.055), ('seem', 0.055), ('driver', 0.054), ('guy', 0.053), ('unlocked', 0.053), ('gardner', 0.053), ('unscrupulous', 0.053), ('worm', 0.053), ('zara', 0.053), ('alan', 0.052), ('sorts', 0.051), ('dangerous', 0.05), ('harrah', 0.05)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 0.99999803 719 andrew gelman stats-2011-05-19-Everything is Obvious (once you know the answer)

Introduction: Duncan Watts gave his new book the above title, reflecting his irritation with those annoying people who, upon hearing of the latest social science research, reply with: Duh-I-knew-that. (I don’t know how to say Duh in Australian; maybe someone can translate that for me?) I, like Duncan, am easily irritated, and I looked forward to reading the book. I enjoyed it a lot, even though it has only one graph, and that graph has a problem with its y-axis. (OK, the book also has two diagrams and a graph of fake data, but that doesn’t count.) Before going on, let me say that I agree wholeheartedly with Duncan’s central point: social science research findings are often surprising, but the best results cause us to rethink our world in such a way that they seem completely obvious, in retrospect. (Don Rubin used to tell us that there’s no such thing as a “paradox”: once you fully understand a phenomenon, it should not seem paradoxical any more. When learning science, we sometimes speak

2 0.58125931 1453 andrew gelman stats-2012-08-10-Quotes from me!

Introduction: When linking to my review of Duncan Watts’s book in a recent post, I came across some fun bits that I’d like to share (for those of you who didn’t just click through and read the whole thing): On business books: I’m not so interested in the business angle but I suppose that’s how you sell books these days. The business part of the book was ok—I’m not saying it was filler—it’s just that I’m not particularly interested in which format of videocassette wins, or whether Cisco Systems is a well-run company. I realize that a lot of people care about this sort of things nowadays, but I’d rather talk about sports or politics. On dodgy science writer John Gribbin: Sure, people write all sorts of silly things but usually they have some sort of political or religious excuse for why it’s ok to believe them. Truth is not the only important value in life, there are also other concerns such as political convictions, religious beliefs, and the simple desire to avoid offending people. Thus

3 0.27654955 978 andrew gelman stats-2011-10-28-Cool job opening with brilliant researchers at Yahoo

Introduction: Duncan Watts writes: The Human Social Dynamics Group in Yahoo Research is seeking highly qualified candidates for a post-doctoral research scientist position. The Human and Social Dynamics group is devoted to understanding the interplay between individual-level behavior (e.g. how people make decisions about what music they like, which dates to go on, or which groups to join) and the social environment in which individual behavior necessarily plays itself out. In particular, we are interested in: * Structure and evolution of social groups and networks * Decision making, social influence, diffusion, and collective decisions * Networking and collaborative problem solving. The intrinsically multi-disciplinary and cross-cutting nature of the subject demands an eclectic range of researchers, both in terms of domain-expertise (e.g. decision sciences, social psychology, sociology) and technical skills (e.g. statistical analysis, mathematical modeling, computer simulations, design o

4 0.23303322 2122 andrew gelman stats-2013-12-03-Objects of the class “Lawrence Summers”: Arne Duncan edition

Introduction: We have a new “ Objects of the class ,” and it’s a good one! Here’s what happened. I came across a thoughtful discussion by Mark Palko of how it was that Secretary of Education Arne Duncan ticked off so many people with his recent remarks about “white suburban moms”: To understand why Duncan hit such a nerve, you need to consider the long and complicated role that racial politics have played in this debate. The public face of the education reform movement has always been pictures of eager young African-American and Hispanic children. Not only has the movement been sold as a way of helping these children but people who object to parts of the reform agenda have often been accused, implicitly or explicitly, of not wanting to help children of color. . . . For starters, with certain notable exceptions, the leaders of the reform movement tend to be white or Asian . . . By comparison, the tenured and/or unionized teachers who have paid the highest price in terms of policy changes an

5 0.19045612 809 andrew gelman stats-2011-07-19-“One of the easiest ways to differentiate an economist from almost anyone else in society”

Introduction: I think I’m starting to resolve a puzzle that’s been bugging me for awhile. Pop economists (or, at least, pop micro-economists) are often making one of two arguments: 1. People are rational and respond to incentives. Behavior that looks irrational is actually completely rational once you think like an economist. 2. People are irrational and they need economists, with their open minds, to show them how to be rational and efficient. Argument 1 is associated with “why do they do that?” sorts of puzzles. Why do they charge so much for candy at the movie theater, why are airline ticket prices such a mess, why are people drug addicts, etc. The usual answer is that there’s some rational reason for what seems like silly or self-destructive behavior. Argument 2 is associated with “we can do better” claims such as why we should fire 80% of public-schools teachers or Moneyball-style stories about how some clever entrepreneur has made a zillion dollars by exploiting some inefficienc

6 0.18825614 2255 andrew gelman stats-2014-03-19-How Americans vote

7 0.17704812 2297 andrew gelman stats-2014-04-20-Fooled by randomness

8 0.16460906 692 andrew gelman stats-2011-05-03-“Rationality” reinforces, does not compete with, other models of behavior

9 0.16433366 2245 andrew gelman stats-2014-03-12-More on publishing in journals

10 0.15241484 1213 andrew gelman stats-2012-03-15-Economics now = Freudian psychology in the 1950s: More on the incoherence of “economics exceptionalism”

11 0.14875716 1297 andrew gelman stats-2012-05-03-New New York data research organizations

12 0.14571038 1481 andrew gelman stats-2012-09-04-Cool one-day miniconference at Columbia Fri 12 Oct on computational and online social science

13 0.13603897 389 andrew gelman stats-2010-11-01-Why it can be rational to vote

14 0.13603897 1565 andrew gelman stats-2012-11-06-Why it can be rational to vote

15 0.13318278 1952 andrew gelman stats-2013-07-23-Christakis response to my comment on his comments on social science (or just skip to the P.P.P.S. at the end)

16 0.12850228 2058 andrew gelman stats-2013-10-11-Gladwell and Chabris, David and Goliath, and science writing as stone soup

17 0.12849344 878 andrew gelman stats-2011-08-29-Infovis, infographics, and data visualization: Where I’m coming from, and where I’d like to go

18 0.12726916 1442 andrew gelman stats-2012-08-03-Double standard? Plagiarizing journos get slammed, plagiarizing profs just shrug it off

19 0.12676015 1949 andrew gelman stats-2013-07-21-Defensive political science responds defensively to an attack on social science

20 0.12672716 1139 andrew gelman stats-2012-01-26-Suggested resolution of the Bem paradox


similar blogs computed by lsi model

lsi for this blog:

topicId topicWeight

[(0, 0.344), (1, -0.135), (2, -0.008), (3, 0.035), (4, -0.047), (5, 0.029), (6, 0.026), (7, 0.026), (8, 0.045), (9, 0.053), (10, -0.068), (11, -0.045), (12, 0.001), (13, -0.041), (14, -0.036), (15, -0.009), (16, 0.047), (17, -0.009), (18, 0.09), (19, -0.04), (20, -0.054), (21, -0.05), (22, 0.011), (23, 0.027), (24, -0.024), (25, -0.015), (26, 0.078), (27, 0.028), (28, -0.066), (29, -0.024), (30, -0.066), (31, 0.001), (32, -0.02), (33, -0.041), (34, 0.057), (35, -0.052), (36, 0.063), (37, -0.002), (38, -0.037), (39, 0.024), (40, -0.009), (41, -0.026), (42, -0.021), (43, 0.02), (44, -0.047), (45, -0.021), (46, 0.034), (47, 0.044), (48, -0.02), (49, 0.007)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 0.96554619 719 andrew gelman stats-2011-05-19-Everything is Obvious (once you know the answer)

Introduction: Duncan Watts gave his new book the above title, reflecting his irritation with those annoying people who, upon hearing of the latest social science research, reply with: Duh-I-knew-that. (I don’t know how to say Duh in Australian; maybe someone can translate that for me?) I, like Duncan, am easily irritated, and I looked forward to reading the book. I enjoyed it a lot, even though it has only one graph, and that graph has a problem with its y-axis. (OK, the book also has two diagrams and a graph of fake data, but that doesn’t count.) Before going on, let me say that I agree wholeheartedly with Duncan’s central point: social science research findings are often surprising, but the best results cause us to rethink our world in such a way that they seem completely obvious, in retrospect. (Don Rubin used to tell us that there’s no such thing as a “paradox”: once you fully understand a phenomenon, it should not seem paradoxical any more. When learning science, we sometimes speak

2 0.90232313 1453 andrew gelman stats-2012-08-10-Quotes from me!

Introduction: When linking to my review of Duncan Watts’s book in a recent post, I came across some fun bits that I’d like to share (for those of you who didn’t just click through and read the whole thing): On business books: I’m not so interested in the business angle but I suppose that’s how you sell books these days. The business part of the book was ok—I’m not saying it was filler—it’s just that I’m not particularly interested in which format of videocassette wins, or whether Cisco Systems is a well-run company. I realize that a lot of people care about this sort of things nowadays, but I’d rather talk about sports or politics. On dodgy science writer John Gribbin: Sure, people write all sorts of silly things but usually they have some sort of political or religious excuse for why it’s ok to believe them. Truth is not the only important value in life, there are also other concerns such as political convictions, religious beliefs, and the simple desire to avoid offending people. Thus

3 0.85240954 415 andrew gelman stats-2010-11-15-The two faces of Erving Goffman: Subtle observer of human interactions, and Smug organzation man

Introduction: In response to my most recent post expressing bafflement over the Erving Goffman mystique, several commenters helped out by suggesting classic Goffman articles for me to read. Naturally, I followed the reference that had a link attached–it was for an article called Cooling the Mark Out, which analogized the frustrations of laid-off and set-aside white-collar workers to the reactions to suckers after being bilked by con artists. Goffman’s article was fascinating, but I was bothered by a tone of smugness. Here’s a quote from Cooling the Mark Out that starts on the cute side but is basically ok: In organizations patterned after a bureaucratic model, it is customary for personnel to expect rewards of a specified kind upon fulfilling requirements of a specified nature. Personnel come to define their career line in terms of a sequence of legitimate expectations and to base their self-conceptions on the assumption that in due course they will be what the institution allows persons t

4 0.8508755 1696 andrew gelman stats-2013-01-29-The latest in economics exceptionalism

Introduction: Joseph Delaney writes : Is it fair to quote the definition of economics from the blurb for a book? If so, consider this definition in the blurb for Emily Oster’s new book: When Oster was expecting her first child, she felt powerless to make the right decisions for her pregnancy. How doctors think and what patients need are two very different things. So Oster drew on her own experience and went in search of the real facts about pregnancy using an economist’s tools. Economics is not just a study of finance. It’s the science of determining value and making informed decisions. To make a good decision, you need to understand the information available to you and to know what it means to you as an individual. So, when applied to a medical topic (like pregnancy) how does this differ from evidence based medicine? Should I be calling myself an economist? None of this mean that Emily shouldn’t write this book. My own read on the alcohol and pregnancy angle is that the current advic

5 0.84302479 1319 andrew gelman stats-2012-05-14-I hate to get all Gerd Gigerenzer on you here, but . . .

Introduction: Jonathan Cantor points me to an opinion piece by psychologist Reid Hastie, “Our Gift for Good Stories Blinds Us to the Truth.” I have mixed feelings about Hastie’s article. On one hand I do think his point is important. It’s not new to me, but presumably it’s new to many readers of bloomberg.com. I like Hastie’s book (with Robyn Dawes), Rational Choice in an Uncertain World, and I’m predisposed to like anything new that he writes. On the other hand, there’s something about Hastie’s article that bothered me. It seemed a bit smug, as if he thinks he understands the world and wants to just explain it to the rest of us. That could be fine—after all, Hastie is a distinguished psychology researcher—but I wasn’t so clear that he’s so clear on what he’s saying. For example: The human brain is designed to support two modes of thought: visual and narrative. These forms of thinking are universal across human societies throughout history, develop reliably early in individuals’ lives

6 0.83734328 1850 andrew gelman stats-2013-05-10-The recursion of pop-econ

7 0.83501971 2327 andrew gelman stats-2014-05-09-Nicholas Wade and the paradox of racism

8 0.83153105 1619 andrew gelman stats-2012-12-11-There are four ways to get fired from Caesars: (1) theft, (2) sexual harassment, (3) running an experiment without a control group, and (4) keeping a gambling addict away from the casino

9 0.8312431 1758 andrew gelman stats-2013-03-11-Yes, the decision to try (or not) to have a child can be made rationally

10 0.8312211 765 andrew gelman stats-2011-06-14-How the ignorant idiots win, explained. Maybe.

11 0.83023572 60 andrew gelman stats-2010-05-30-What Auteur Theory and Freshwater Economics have in common

12 0.82219166 11 andrew gelman stats-2010-04-29-Auto-Gladwell, or Can fractals be used to predict human history?

13 0.82158965 1213 andrew gelman stats-2012-03-15-Economics now = Freudian psychology in the 1950s: More on the incoherence of “economics exceptionalism”

14 0.82101601 711 andrew gelman stats-2011-05-14-Steven Rhoads’s book, “The Economist’s View of the World”

15 0.81839025 2058 andrew gelman stats-2013-10-11-Gladwell and Chabris, David and Goliath, and science writing as stone soup

16 0.81764019 864 andrew gelman stats-2011-08-21-Going viral — not!

17 0.8127895 17 andrew gelman stats-2010-05-05-Taking philosophical arguments literally

18 0.81104821 1105 andrew gelman stats-2012-01-08-Econ debate about prices at a fancy restaurant

19 0.80482835 2297 andrew gelman stats-2014-04-20-Fooled by randomness

20 0.80179244 1784 andrew gelman stats-2013-04-01-Wolfram on Mandelbrot


similar blogs computed by lda model

lda for this blog:

topicId topicWeight

[(2, 0.02), (5, 0.013), (9, 0.036), (15, 0.026), (16, 0.07), (21, 0.035), (24, 0.13), (27, 0.011), (51, 0.042), (59, 0.031), (63, 0.016), (68, 0.01), (72, 0.021), (77, 0.045), (86, 0.025), (90, 0.015), (95, 0.012), (99, 0.268)]

similar blogs list:

simIndex simValue blogId blogTitle

1 0.97397113 1453 andrew gelman stats-2012-08-10-Quotes from me!

Introduction: When linking to my review of Duncan Watts’s book in a recent post, I came across some fun bits that I’d like to share (for those of you who didn’t just click through and read the whole thing): On business books: I’m not so interested in the business angle but I suppose that’s how you sell books these days. The business part of the book was ok—I’m not saying it was filler—it’s just that I’m not particularly interested in which format of videocassette wins, or whether Cisco Systems is a well-run company. I realize that a lot of people care about this sort of things nowadays, but I’d rather talk about sports or politics. On dodgy science writer John Gribbin: Sure, people write all sorts of silly things but usually they have some sort of political or religious excuse for why it’s ok to believe them. Truth is not the only important value in life, there are also other concerns such as political convictions, religious beliefs, and the simple desire to avoid offending people. Thus

same-blog 2 0.97291791 719 andrew gelman stats-2011-05-19-Everything is Obvious (once you know the answer)

Introduction: Duncan Watts gave his new book the above title, reflecting his irritation with those annoying people who, upon hearing of the latest social science research, reply with: Duh-I-knew-that. (I don’t know how to say Duh in Australian; maybe someone can translate that for me?) I, like Duncan, am easily irritated, and I looked forward to reading the book. I enjoyed it a lot, even though it has only one graph, and that graph has a problem with its y-axis. (OK, the book also has two diagrams and a graph of fake data, but that doesn’t count.) Before going on, let me say that I agree wholeheartedly with Duncan’s central point: social science research findings are often surprising, but the best results cause us to rethink our world in such a way that they seem completely obvious, in retrospect. (Don Rubin used to tell us that there’s no such thing as a “paradox”: once you fully understand a phenomenon, it should not seem paradoxical any more. When learning science, we sometimes speak

3 0.96752626 562 andrew gelman stats-2011-02-06-Statistician cracks Toronto lottery

Introduction: Christian points me to this amusing story by Jonah Lehrer about Mohan Srivastava, (perhaps the same person as R. Mohan Srivastava, coauthor of a book called Applied Geostatistics) who discovered a flaw in a scratch-off game in which he could figure out which tickets were likely to win based on partial information visible on the ticket. It appears that scratch-off lotteries elsewhere have similar flaws in their design. The obvious question is, why doesn’t the lottery create the patterns on the tickets (including which “teaser” numbers to reveal) completely at random? It shouldn’t be hard to design this so that zero information is supplied from the outside. in which case Srivastava’s trick would be impossible. So why not put down the numbers randomly? Lehrer quotes Srivastava as saying: The tickets are clearly mass-produced, which means there must be some computer program that lays down the numbers. Of course, it would be really nice if the computer could just spit out random

4 0.9658494 878 andrew gelman stats-2011-08-29-Infovis, infographics, and data visualization: Where I’m coming from, and where I’d like to go

Introduction: I continue to struggle to convey my thoughts on statistical graphics so I’ll try another approach, this time giving my own story. For newcomers to this discussion: the background is that Antony Unwin and I wrote an article on the different goals embodied in information visualization and statistical graphics, but I have difficulty communicating on this point with the infovis people. Maybe if I tell my own story, and then they tell their stories, this will point a way forward to a more constructive discussion. So here goes. I majored in physics in college and I worked in a couple of research labs during the summer. Physicists graph everything. I did most of my plotting on graph paper–this continued through my second year of grad school–and became expert at putting points at 1/5, 2/5, 3/5, and 4/5 between the x and y grid lines. In grad school in statistics, I continued my physics habits and graphed everything I could. I did notice, though, that the faculty and the other

5 0.96576786 1247 andrew gelman stats-2012-04-05-More philosophy of Bayes

Introduction: Konrad Scheffler writes: I was interested by your paper “Induction and deduction in Bayesian data analysis” and was wondering if you would entertain a few questions: – Under the banner of objective Bayesianism, I would posit something like this as a description of Bayesian inference: “Objective Bayesian probability is not a degree of belief (which would necessarily be subjective) but a measure of the plausibility of a hypothesis, conditional on a formally specified information state. One way of specifying a formal information state is to specify a model, which involves specifying both a prior distribution (typically for a set of unobserved variables) and a likelihood function (typically for a set of observed variables, conditioned on the values of the unobserved variables). Bayesian inference involves calculating the objective degree of plausibility of a hypothesis (typically the truth value of the hypothesis is a function of the variables mentioned above) given such a

6 0.96224523 1097 andrew gelman stats-2012-01-03-Libertarians in Space

7 0.96199608 1630 andrew gelman stats-2012-12-18-Postdoc positions at Microsoft Research – NYC

8 0.96149796 2297 andrew gelman stats-2014-04-20-Fooled by randomness

9 0.96147633 18 andrew gelman stats-2010-05-06-$63,000 worth of abusive research . . . or just a really stupid waste of time?

10 0.96112394 1788 andrew gelman stats-2013-04-04-When is there “hidden structure in data” to be discovered?

11 0.96047443 2281 andrew gelman stats-2014-04-04-The Notorious N.H.S.T. presents: Mo P-values Mo Problems

12 0.9602809 966 andrew gelman stats-2011-10-20-A qualified but incomplete thanks to Gregg Easterbrook’s editor at Reuters

13 0.96027064 1980 andrew gelman stats-2013-08-13-Test scores and grades predict job performance (but maybe not at Google)

14 0.95990241 2007 andrew gelman stats-2013-09-03-Popper and Jaynes

15 0.95974684 675 andrew gelman stats-2011-04-22-Arrow’s other theorem

16 0.95974088 2337 andrew gelman stats-2014-05-18-Never back down: The culture of poverty and the culture of journalism

17 0.95947194 1910 andrew gelman stats-2013-06-22-Struggles over the criticism of the “cannabis users and IQ change” paper

18 0.95923108 505 andrew gelman stats-2011-01-05-Wacky interview questions: An exploration into the nature of evidence on the internet

19 0.95921224 2227 andrew gelman stats-2014-02-27-“What Can we Learn from the Many Labs Replication Project?”

20 0.9591251 2303 andrew gelman stats-2014-04-23-Thinking of doing a list experiment? Here’s a list of reasons why you should think again