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361.

Why it's important to include pre-treatment variables in a randomized experiment

statmodeling.stat.columbia.edu

2 years ago

2 points

362.

Make a hypothesis about what you expect to see every step of the way.A manifesto

statmodeling.stat.columbia.edu

2 years ago

2 points

363.

Polling by asking people about their neighbors: When does this work?

statmodeling.stat.columbia.edu

2 years ago

2 points

364.

Polling by asking people about their neighbors

statmodeling.stat.columbia.edu

2 years ago

2 points

365.

"Pitfalls of Demographic Forecasts of US Elections"

statmodeling.stat.columbia.edu

2 years ago

2 points

366.

Levels of fraud: One-time, Linear, and Exponential

statmodeling.stat.columbia.edu

2 years ago

2 points

367.

Implicitly denying the controversy associated with the Implicit Association Test

statmodeling.stat.columbia.edu

2 years ago

2 points

368.

The River, the Village, and the Fort: Nate Silver's New Book, "On the Edge"

statmodeling.stat.columbia.edu

2 years ago

2 points

369.

Handy Statistical Lexicon

statmodeling.stat.columbia.edu

2 years ago

2 points

370.

Applied Regression and Causal Inference

statmodeling.stat.columbia.edu

2 years ago

2 points

371.

The piranha problem: Large effects swimming in a small pond

statmodeling.stat.columbia.edu

2 years ago

2 points

372.

What is the probability your vote will make a difference? [pdf]

stat.columbia.edu

2 years ago

2 points

373.

The State of Statistics in 1990

statmodeling.stat.columbia.edu

2 years ago

2 points

374.

Grappling with uncertainty in forecasting the 2024 U.S. presidential election

statmodeling.stat.columbia.edu

2 years ago

2 points

375.

Well-known paradox of R-squared is still buggin me. Can you help me out?

statmodeling.stat.columbia.edu

2 years ago

2 points

376.

What has happened down here is the winds have changed (2016)

statmodeling.stat.columbia.edu

2 years ago

2 points

377.

Who Understands Alignment Anyway

statmodeling.stat.columbia.edu

2 years ago

2 points

378.

What is the prevalence of bad social science?

statmodeling.stat.columbia.edu

2 years ago

2 points

379.

Simulation to understand two kinds of measurement error in regression

statmodeling.stat.columbia.edu

2 years ago

2 points

380.

Intelligence is whatever machines cannot (yet) do

statmodeling.stat.columbia.edu

2 years ago

2 points

381.

Mindlessness in the Interpretation of a Study on Mindlessness

statmodeling.stat.columbia.edu

2 years ago

2 points

382.

Our new book, Active Statistics, is now available

statmodeling.stat.columbia.edu

2 years ago

2 points

383.

Predicting MLB Performance and Differences Between Baseball and Politics

statmodeling.stat.columbia.edu

2 years ago

2 points

384.

Our new book, Active Statistics, is now available

statmodeling.stat.columbia.edu

2 years ago

2 points

385.

statmodeling.stat.columbia.edu

2 years ago

2 points

386.

When all else fails, add a code comment

statmodeling.stat.columbia.edu

2 years ago

2 points

387.

"Don't feed the trolls" and the troll semi-bluff

statmodeling.stat.columbia.edu

2 years ago

2 points

388.

The importance of "bumblers" and "pointers" in science (2023)

statmodeling.stat.columbia.edu

2 years ago

2 points

389.

John Mandrola's tips for assessing medical evidence

statmodeling.stat.columbia.edu

2 years ago

2 points

390.

Explaining that line, "Bayesians moving from defense to offense"

statmodeling.stat.columbia.edu

3 years ago

2 points