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statmodeling.stat.columbia.edu /1 month ago

Survey Statistics: quantifying uncertainty in ranked choice voting polls

We’ve talked about uncertainty in polls (see Margin of Error, Total Margin of Error, Total Margin of Error II) and we’ve talked about ranked data (see exploded logit !). A new pape...

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statmodeling.stat.columbia.edu /2 weeks ago

Survey Statistics: more on SynthMargins and Bayes-Raking

Last week we discussed SynthMargins, a method from the poster Modeling Complex Contingency Tables that uses partial information (margins) about poststratification variables. On the...

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statmodeling.stat.columbia.edu /3 weeks ago

Survey Statistics: Modeling Complex Contingency Tables

Andrew looped me into an email thread with folks working on poststratification with partial population information. (He knew I’d be interested, see “poststratification without popu...

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equalizersoccer.com /2 weeks ago

NWSL stats and minutiae after Week 18

Here’s a look at some stats and minutiae following Week 18 of the 2026 National Women’s Soccer League season. We’ll keep evolving this space every week to try and keep you informed...

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statmodeling.stat.columbia.edu /1 week ago

Survey Statistics: logit shift and raking

We’ve been discussing how to use population margin information about poststratification variables (see Modeling Complex Contingency Tables and SynthMargins & Bayes-Raking). I w...

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statmodeling.stat.columbia.edu /1 month ago

He fit the same statistical models with three different software and got much different estimates. It’s another dimensi...

Scott Cunningham writes: You’ll appreciate this I think. I ran Claude code on 96 specs for a popular difference-in-difference estimator with the identical specifications, ranging c...

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equalizersoccer.com /1 month ago

NWSL stats and minutiae after Week 14

Here’s a look at some stats and minutiae following Week 13 of the 2026 National Women’s Soccer League season. We’ll keep evolving this space every week to try and keep you informed...

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equalizersoccer.com /4 weeks ago

NWSL Stats and Minutiae through Week 16

Here’s a look at some stats and minutiae following Week 16 of the 2026 National Women’s Soccer League season. We’ll keep evolving this space every week to try and keep you informed...

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equalizersoccer.com /1 month ago

NWSL Stats and Minutiae after Week 13

Here’s a look at some stats and minutiae following Week 13 of the 2026 National Women’s Soccer League season. We’ll keep evolving this space every week to try and keep you informed...

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blogs.fangraphs.com /3 weeks ago

Fun With Arbitrary Statistics

Let's slice up some hitting statistics to find a hidden gem or two among the league leaders.

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equalizersoccer.com /1 week ago

NWSL stats and minutiae after Week 19

Here’s a look at some stats and minutiae following Week 16 of the 2026 National Women’s Soccer League season. We’ll keep evolving this space every week to try and keep you informed...

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marginalrevolution.com /6 days ago

Thursday assorted links

1. “Some crazy stats from this new JEL paper: – IV est. average 3–10x OLS (meta analysis) – Sign. results 30x more likely to be published in experimental econ (Andrews & Kasy)...

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equalizersoccer.com /21 hours ago

NWSL stats and minutiae after Week 20

Here’s a look at some stats and minutiae following Week 20 of the 2026 NWSL season. We’ll keep evolving this space every week to try and keep you informed. Have an idea or an addit...

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liverc.com /1 month ago

Industry Analytics: Weekly Statistics [7/15 - 7/22]

Just under 17,000 entries this week in the #LiveTimeScoring system, Dirt Oval lead the way followed by 1/10th Off-Road, then 1/8th Off-Road. Find all the stats here! #IndustryAnaly...

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statmodeling.stat.columbia.edu /4 weeks ago

Survey Statistics: wanting workflow

Last week Andrew commented that we need a more transparent workflow for survey statistics. So I looked in the new Bayesian Workflow book: Chapter 19 “Building up to a hierarchical...

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statmodeling.stat.columbia.edu /1 month ago

Survey Statistics: poststratification without population level information

Poststratification uses population data on X to estimate E(Y) via E(E(Y | X, R = 1)), where R = 1 are survey respondents who provide Y and X. When the inner expectation “E” is esti...

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statmodeling.stat.columbia.edu /1 month ago

It’s all about the nonlinearity: An interesting statistical example of flaws in a voter impact index

The following came in the email the other day: I’m reaching out to introduce the Voter Impact Index, a new data tool from PowerMoves that assigns every U.S. zip code a voter impact...

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