I’ve been thinking a lot about junk science lately. Some people have said it’s counterproductive or rude of me to keep talking about the same few examples (actually I think we have about 15 or so examples that come up again and again), so let me just speak generically about the sort of scientific claim […] The post All the things we have to do that we don’t really need…
Mike “d3” Bostock writes: Regarding the Vox graph on federal tax brackets, here is a quick-and-dirty visualization of effective tax rates for a given taxable income and year. However, there is a big caveat: estimating the effective tax rate based on actual income is much harder since it depends on the claimed deductions. This could […] The post Mike Bostock graphs federal income tax brackets and tax rates, and I…
Nadia Hassan writes: Vox has a graph of tax rates over time. Their visualizations do convey that tax rates for high earners have declined over time and tax brackets are fewer now, but it seems like there are more appealing and intuitive ways to display that. I agree. This visualization reminds me a lot of […] The post Taxes and data visualization appeared first on Statistical Modeling, Causal Inference, and…
Phil Price recently wrote two much-argued-about posts here and here on the yimby (“yes in my backyard”) movement in San Francisco. One of the people disagreeing with him is Sonja Trauss, who writes: Phil makes a pretty basic mistake of reasoning in his post, namely, that the high income residents of the proposed new housing […] The post San Francisco housing debate: A yimby responds appeared first on Statistical Modeling,…
This post is by Keith. In this post I try to be more concise and direct about what I found of value in Laura Arnold’s TEDx talk that I recently blogged about here. Primarily it was the disclosure from someone who could afford to buy good evidence (and experts to assess it) that they did not think good […] The post Take two on Laura Arnold’s TEDx talk. appeared first on Statistical Modeling,…
This post is not by Andrew. This post is by Phil. A few days ago I posted What’s the deal with the YIMBYs? In the rest of this post, I assume you have read that one. I plan to post a follow-up in a month or two when I have had time to learn more, […] The post NIMBYs and economic theories: Sorry / Not Sorry appeared first on Statistical…
The Four Most Dangerous Words? A New Study Shows | Laura Arnold | TEDxPennsylvaniaAvenue I brought this link forward in some comments but wanted to promote it to a post as I think its important and I know many folks just do not read comments. As I once heard claimed in a talk on risk […] The post Higher credence for the masses: From a Ted talk? appeared first on…
This post is not by Andrew. It is by Phil. There’s at least one thing people in San Francisco seem to agree on: the rent is too damn high. The median rent is between about $3000 and $3500 per month…for a one-bedroom apartment. High-tech workers and upper-echelon businesspeople can afford a place, but baristas and […] The post What’s the deal with the YIMBYs? appeared first on Statistical Modeling, Causal…
From 2009: “They thought ASU’s brand was too strong to compete with. Incarnate Word is now part of the Communiversity @ Surprise, a newly opened one-stop learning center for higher education in the northwest Valley.” I guess my statistics textbooks probably read like parodies of statistics textbooks, so from that perspective it makes sense that […] The post Reality meets the DeLilloverse appeared first on Statistical Modeling, Causal Inference, and…
I’m speaking (remotely) to a roomful of accountants tomorrow. Exciting, huh? Actually, I don’t know if they’re accountants. They’re “accounting researchers,” whatever that means. . . . The title they gave to my talk is “A statistician’s thoughts on registered reports.” There’s no abstract (and, of course, no slides) but they sent me this list […] The post Can you account for this? appeared first on Statistical Modeling, Causal Inference,…
