I am Professor of Sociology at Duke University. (→ Read a short biosketch.)

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Data Visualization: A Practical Introduction. Princeton University Press. Buy on Amazon / Summary
“Transformative Treatments.” 手机科学的上网方法免费 52: 320–335. / Summary 云梯更科学的上网工具
“Visualizing the Baby Boom.” Socius 4: 1-2 / Summary / PDF
“The Plain Person’s Guide to Plain Text Social Science.” / Summary / PDF
“By the Numbers.” European Journal of Sociology (2017), 58:512-519 / Summary / PDF

老王使用教程-outline

3 June 2024 The wave of protest and unrest in the wake of George Floyd’s killing by the police shows little sign of abating just yet. Unrest nationwide is, if anything, increasing as protesters are met with repression by the police. Civil unrest of this scope is unusual. The conjunction of mass protest and widespread disorder should be worrying to those in authority. When property damage and theft happens as a side-effect of real mass protest, authorities in a democracy cannot baton, tear gas, or shoot their way to legitimacy.

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23 May 2024 I’ve been maintaining covdata, an R package with a variety of COVID-related datasets in it. That means I’ve been pulling down updated files from various sources every couple of days. Most of these files are at static locations. While their internal structure may change occasionally, and maybe they’ve moved once or twice at most since I started looking at them, they’re generally at a stable location. Apple’s Mobility Data is an exception.

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21 May 2024 Every day begins in the same way. I get up. I make my coffee. I look at the data. Everything about this is absurd. To begin with, there’s the absurdity that everyone with a job like mine faces each day. Locked down at home with the kids, trying to get things done, unable to properly teach, write, or think. The household is like a little spacecraft, drifting in the void. Occasionally you venture outside to get supplies, or to check the shields.

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9 May 2024

To save everyone some time, here’s a generator for the next five years of conceptual advances in social theory. Choose once at random from each column to secure your contribution.

Column 1	Column 2
Sequenced	Stratification
Algorithmic	上网科学工具app 下载
Automated	Capital
Robust	Contagion
COVID	Masking
Epidemiologic	科学上外网 app
Viral	Politics
云梯更科学的上网工具	Inequality
Infectious	Sexualities
Compartmentalized	Classification
云梯更科学的上网工具	Causality
手机科学的上网方法免费	上网科学工具app 下载
Transmissible	Polarization
Leucocyte	Paradox
Intersectional	Bodies
Corona	Disparities
Liquid	Isomorphism
Genomic	Populism
科学上外网 app	Interdependence
Masked	Colorism

老王使用教程-outline

手机科学的上网方法免费 My post about Apple’s mobility data from a few days ago has been doing the rounds. (People have been very kind.) Unsurprisingly, one of the most thoughtful responses came from Dr. Drang, who wrote up a great discussion about the importance of choosing the right baseline if you’re going to be indexing change with respect to some time. His discussion of Small Multiples and Normalization is really worth your while.