andrew_gelman_stats andrew_gelman_stats-2012 andrew_gelman_stats-2012-1614 knowledge-graph by maker-knowledge-mining
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Introduction: Ben Hyde sends along this appealing image by Michael Paukner, which represents a nearly perfect distillation of “infographics”: Here are some of the comments on the linked page: Rather than redrawing the picture to make the lines more clear, I’d say: leave the graphic as is, and have a link to a set of statistical graphs that show where the different sorts of old trees are and what they look like. Let’s value the above image for its clean look and its clever Christmas-tree design, and once we have it, take advantage of viewers’ interest in the topic to show them more. P.S. See my comment below which I think further illuminates the appeal of this particular tree.
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1 Let’s value the above image for its clean look and its clever Christmas-tree design, and once we have it, take advantage of viewers’ interest in the topic to show them more. [sent-2, score-1.491]
2 See my comment below which I think further illuminates the appeal of this particular tree. [sent-5, score-0.37]
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Introduction: Ben Hyde sends along this appealing image by Michael Paukner, which represents a nearly perfect distillation of “infographics”: Here are some of the comments on the linked page: Rather than redrawing the picture to make the lines more clear, I’d say: leave the graphic as is, and have a link to a set of statistical graphs that show where the different sorts of old trees are and what they look like. Let’s value the above image for its clean look and its clever Christmas-tree design, and once we have it, take advantage of viewers’ interest in the topic to show them more. P.S. See my comment below which I think further illuminates the appeal of this particular tree.
2 0.15437713 357 andrew gelman stats-2010-10-20-Sas and R
Introduction: Xian sends along this link that might be of interest to some of you.
3 0.1224579 832 andrew gelman stats-2011-07-31-Even a good data display can sometimes be improved
Introduction: When I first saw this graphic, I thought “boy, that’s great, sometimes the graphic practically makes itself.” Normally it’s hard to use lots of different colors to differentiate items of interest, because there’s usually not an intuitive mapping between color and item (e.g. for countries, or states, or whatever). But the colors of crayons, what could be more perfect? So this graphic seemed awesome. But, as they discovered after some experimentation at datapointed.net there is an even BETTER possibility here. Click the link to see. Crayola Crayon colors by year
4 0.12201803 1797 andrew gelman stats-2013-04-10-“Proposition and experiment”
Introduction: Anna Lena Phillips writes : I. Many people will not, of their own accord, look at a poem. II. Millions of people will, of their own accord, spend lots and lots of time looking at photographs of cats. III. Therefore, earlier this year, I concluded that the best strategy for increasing the number of viewers for poems would be to print them on top of photographs of cats. IV. I happen to like looking at both poems and cats. V. So this is, for me, a win-win situation. VI. Fortunately, my own cat is a patient model, and (if I am to be believed) quite photogenic. VII. The aforementioned cat is Tisko Tansi, small hero. VII. Thus I present to you (albeit in digital rather than physical form) an Endearments broadside, featuring a poem that originally appeared in BlazeVOX spring 2011. VIII. If you want to share a copy of this image, please ask first. If you want a real copy, you can ask about that too. She follows up with an image of a cat, on which is superimposed a short
Introduction: Ben Hyde sends along this : Stuck in the middle of the supplemental data, reporting the total workup for their compounds, was this gem: Emma, please insert NMR data here! where are they? and for this compound, just make up an elemental analysis . . . I’m reminded of our recent discussions of coauthorship, where I argued that I see real advantages to having multiple people taking responsibility for the result. Jay Verkuilen responded: “On the flipside of collaboration . . . is diffusion of responsibility, where everybody thinks someone else ‘has that problem’ and thus things don’t get solved.” That’s what seems to have happened (hilariously) here.
6 0.12020411 855 andrew gelman stats-2011-08-16-Infovis and statgraphics update update
7 0.11625912 455 andrew gelman stats-2010-12-07-Some ideas on communicating risks to the general public
8 0.10994884 1203 andrew gelman stats-2012-03-08-John Dalton’s Stroop test
9 0.10292331 1606 andrew gelman stats-2012-12-05-The Grinch Comes Back
11 0.1022298 599 andrew gelman stats-2011-03-03-Two interesting posts elsewhere on graphics
12 0.10041238 914 andrew gelman stats-2011-09-16-meta-infographic
13 0.099098563 878 andrew gelman stats-2011-08-29-Infovis, infographics, and data visualization: Where I’m coming from, and where I’d like to go
14 0.095444381 2188 andrew gelman stats-2014-01-27-“Disappointed with your results? Boost your scientific paper”
15 0.094270557 1487 andrew gelman stats-2012-09-08-Animated drought maps
16 0.092482239 1374 andrew gelman stats-2012-06-11-Convergence Monitoring for Non-Identifiable and Non-Parametric Models
17 0.086983979 685 andrew gelman stats-2011-04-29-Data mining and allergies
18 0.086142428 1096 andrew gelman stats-2012-01-02-Graphical communication for legal scholarship
19 0.08414986 1667 andrew gelman stats-2013-01-10-When you SHARE poorly researched infographics…
20 0.080862515 1848 andrew gelman stats-2013-05-09-A tale of two discussion papers
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Introduction: Ben Hyde sends along this appealing image by Michael Paukner, which represents a nearly perfect distillation of “infographics”: Here are some of the comments on the linked page: Rather than redrawing the picture to make the lines more clear, I’d say: leave the graphic as is, and have a link to a set of statistical graphs that show where the different sorts of old trees are and what they look like. Let’s value the above image for its clean look and its clever Christmas-tree design, and once we have it, take advantage of viewers’ interest in the topic to show them more. P.S. See my comment below which I think further illuminates the appeal of this particular tree.
2 0.75158298 832 andrew gelman stats-2011-07-31-Even a good data display can sometimes be improved
Introduction: When I first saw this graphic, I thought “boy, that’s great, sometimes the graphic practically makes itself.” Normally it’s hard to use lots of different colors to differentiate items of interest, because there’s usually not an intuitive mapping between color and item (e.g. for countries, or states, or whatever). But the colors of crayons, what could be more perfect? So this graphic seemed awesome. But, as they discovered after some experimentation at datapointed.net there is an even BETTER possibility here. Click the link to see. Crayola Crayon colors by year
3 0.70367622 357 andrew gelman stats-2010-10-20-Sas and R
Introduction: Xian sends along this link that might be of interest to some of you.
4 0.69741482 1862 andrew gelman stats-2013-05-18-uuuuuuuuuuuuugly
Introduction: Hamdan Azhar writes: I came across this graphic of vaccine-attributed decreases in mortality and was curious if you found it as unattractive and unintuitive as I did. Hope all is well with you! My reply: All’s well with me. And yes, that’s one horrible graph. It has all the problems with a bad infographic with none of the virtues. Compared to this monstrosity, the typical USA Today graph is a stunning, beautiful masterpiece. I don’t think I want to soil this webpage with the image. In fact, I don’t even want to link to it.
5 0.67713034 1439 andrew gelman stats-2012-08-01-A book with a bunch of simple graphs
Introduction: Howard Friedman sent me a new book, The Measure of a Nation, subtitled How to Regain America’s Competitive Edge and Boost Our Global Standing. Without commenting on the substance of Friedman’s recommendations, I’d like to endorse his strategy of presentation, which is to display graph after graph after graph showing the same message over and over again, which is that the U.S. is outperformed by various other countries (mostly in Europe) on a variety of measures. These aren’t graphs I would ever make—they are scatterplots in which the x-axis conveys no information. But they have the advantage of repetition: once you figure out how to read one of the graphs, you can read the others easily. Here’s an example which I found from a quick Google: I can’t actually figure out what is happening on the x-axis, nor do I understand the “star, middle child, dog” thing. But I like the use of graphics. Lots more fun than bullet points. Seriously. P.S. Just to be clear: I am not trying
6 0.66881227 1667 andrew gelman stats-2013-01-10-When you SHARE poorly researched infographics…
7 0.66546041 1606 andrew gelman stats-2012-12-05-The Grinch Comes Back
9 0.64334118 296 andrew gelman stats-2010-09-26-A simple semigraphic display
10 0.63609898 37 andrew gelman stats-2010-05-17-Is chartjunk really “more useful” than plain graphs? I don’t think so.
12 0.6275472 1078 andrew gelman stats-2011-12-22-Tables as graphs: The Ramanujan principle
13 0.62709838 587 andrew gelman stats-2011-02-24-5 seconds of every #1 pop single
14 0.62421191 126 andrew gelman stats-2010-07-03-Graphical presentation of risk ratios
15 0.61534572 1764 andrew gelman stats-2013-03-15-How do I make my graphs?
16 0.6122281 290 andrew gelman stats-2010-09-22-Data Thief
17 0.61070991 225 andrew gelman stats-2010-08-23-Getting into hot water over hot graphics
18 0.60570204 2154 andrew gelman stats-2013-12-30-Bill Gates’s favorite graph of the year
19 0.6020152 1433 andrew gelman stats-2012-07-28-LOL without the CATS
20 0.59162503 319 andrew gelman stats-2010-10-04-“Who owns Congress”
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Introduction: Ben Hyde sends along this appealing image by Michael Paukner, which represents a nearly perfect distillation of “infographics”: Here are some of the comments on the linked page: Rather than redrawing the picture to make the lines more clear, I’d say: leave the graphic as is, and have a link to a set of statistical graphs that show where the different sorts of old trees are and what they look like. Let’s value the above image for its clean look and its clever Christmas-tree design, and once we have it, take advantage of viewers’ interest in the topic to show them more. P.S. See my comment below which I think further illuminates the appeal of this particular tree.
2 0.90779269 1534 andrew gelman stats-2012-10-15-The strange reappearance of Matthew Klam
Introduction: A few years ago I asked what happened to Matthew Klam, a talented writer who has a bizarrely professional-looking webpage but didn’t seem to be writing anymore. Good news! He published a new story in the New Yorker! Confusingly, he wrote it under the name “Justin Taylor,” but I’m not fooled (any more than I was fooled when that posthumous Updike story was published under the name “ Antonya Nelson “). I’m glad to see that Klam is back in action and look forward to seeing some stories under his own name as well.
3 0.90539527 1790 andrew gelman stats-2013-04-06-Calling Jenny Davidson . . .
Introduction: Now that you have some free time again, you’ll have to check out these books and tell us if they’re worth reading. Claire Kirch reports : Lizzie Skurnick Books launches in September with the release of Debutante Hill by Lois Duncan. The novel, which was originally published by Dodd, Mead, in 1958, has been out of print for about three decades. The other books on the initial list, all reissues, are A Long Day in November by Ernest J. Gaines (originally published in 1971), Happy Endings Are All Alike by Sandra Scoppettone (1979), I’ll Love You When You’re More Like Me by M.E. Kerr (1977), Secret Lives by Berthe Amoss (1979), To All My Fans, With Love, From Sylvie by Ellen Conford (1982), and Me and Fat Glenda by Lila Perl (1972). . . . Noting that many of the books of that era beloved by teen boys are still in print – such as Isaac Asimov’s novels and The Chocolate War by Robert Cormier – Skurnick pointed out that, in contrast, many of the books that were embraced by teen gir
4 0.8908546 1374 andrew gelman stats-2012-06-11-Convergence Monitoring for Non-Identifiable and Non-Parametric Models
Introduction: Becky Passonneau and colleagues at the Center for Computational Learning Systems (CCLS) at Columbia have been working on a project for ConEd (New York’s major electric utility) to rank structures based on vulnerability to secondary events (e.g., transformer explosions, cable meltdowns, electrical fires). They’ve been using the R implementation BayesTree of Chipman, George and McCulloch’s Bayesian Additive Regression Trees (BART). BART is a Bayesian non-parametric method that is non-identifiable in two ways. Firstly, it is an additive tree model with a fixed number of trees, the indexes of which aren’t identified (you get the same predictions in a model swapping the order of the trees). This is the same kind of non-identifiability you get with any mixture model (additive or interpolated) with an exchangeable prior on the mixture components. Secondly, the trees themselves have varying structure over samples in terms of number of nodes and their topology (depth, branching, etc
5 0.88735569 843 andrew gelman stats-2011-08-07-Non-rant
Introduction: Dave Backus writes: I would love to see a better version of this [from Steve Hsu] if you have time. My reply: I actually think the graph is ok. It’s not perfect but it’s dieplaying a small set of numbers in a reasonably clear and coherent way! Everybody thinks I’m a curmudgeon but I like to mix it up on occasion and say something nice.
6 0.88121337 2300 andrew gelman stats-2014-04-21-Ticket to Baaaath
7 0.8776564 417 andrew gelman stats-2010-11-17-Clutering and variance components
8 0.87687147 912 andrew gelman stats-2011-09-15-n = 2
9 0.87482095 734 andrew gelman stats-2011-05-28-Funniest comment ever
10 0.87155843 1187 andrew gelman stats-2012-02-27-“Apple confronts the law of large numbers” . . . huh?
11 0.86716747 375 andrew gelman stats-2010-10-28-Matching for preprocessing data for causal inference
13 0.85237116 266 andrew gelman stats-2010-09-09-The future of R
14 0.85234874 58 andrew gelman stats-2010-05-29-Stupid legal crap
15 0.85218054 584 andrew gelman stats-2011-02-22-“Are Wisconsin Public Employees Underpaid?”
17 0.85019231 301 andrew gelman stats-2010-09-28-Correlation, prediction, variation, etc.
18 0.848261 610 andrew gelman stats-2011-03-13-Secret weapon with rare events
19 0.84693724 599 andrew gelman stats-2011-03-03-Two interesting posts elsewhere on graphics
20 0.84537309 1175 andrew gelman stats-2012-02-19-Factual – a new place to find data