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• Why we (usually) don't have to worry about multiple comparisons. (Andrew Gelman, Jennifer Hill, and Masanao Yajima)

• Bayesian combination of state polls and election forecasts (Kari Lock and Andrew Gelman)

• What will we know on Tuesday at 7pm? (Andrew Gelman and Nate Silver)

• Thoughts on new statistical procedures for age-period-cohort analyses. (Andrew Gelman)

• Protecting minorities in binary elections: A test of storable votes using field data. (Alessandra Casella, Shuky Ehrenberg, Andrew Gelman, and Jie Shen)

• One vote, many Mexicos: income and vote choice in the 1994, 2000, and 2006 presidential elections. (Jeronimo Cortina, Andrew Gelman, and Narayani Lasala)

• Going beyond the book: toward critical reading in statistics teaching. (Andrew Gelman)

• Fitting multilevel models when predictors and group effects correlate. (Joseph Bafumi and Andrew Gelman)

• Fully Bayesian computing. (Jouni Kerman and Andrew Gelman)

• What does "Do campaigns matter?" mean? (Joseph Bafumi, Andrew Gelman, and David K. Park)

• Sampling for Bayesian computation with large datasets. (Zaiying Huang and Andrew Gelman)

• Bridges between deterministic and probabilistic models for binary data. (Andrew Gelman, Iwin Leenen, Iven Van Mechelen, and Paul De Boeck)

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