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(again) why I don’t like to talk so much about “p-hacking.” But sometimes the term is appropriate! | Statistical Modeling, Causal Inference, and Social Science
Scientists correcting past mistakes (climate oscillation edition) | Statistical Modeling, Causal Inference, and Social Science
It’s worse than you might think: Passive corruption in the social sciences | Statistical Modeling, Causal Inference, and Social Science
How does a Nobel-prize-winning economist become a victim of bog-standard selection bias? | Statistical Modeling, Causal Inference, and Social Science
A quick fix in science communication: Switch from the present to the past tense. Here’s an example from New Zealand: | Statistical Modeling, Causal Inference, and Social Science
Replication police methodological terrorism stasi nudge shoot the messenger wtf | Statistical Modeling, Causal Inference, and Social Science
What are my statistical principles? What are yours? | Statistical Modeling, Causal Inference, and Social Science
Here’s why I don’t trust the Nudgelords . . . | Statistical Modeling, Causal Inference, and Social Science
Nudgelords: Given their past track record, why should I trust them this time? (Don’t call me Stasi) | Statistical Modeling, Causal Inference, and Social Science
“Valid t-ratio Inference for instrumental variables” | Statistical Modeling, Causal Inference, and Social Science
How does statistical analysis differ when analyzing the entire population rather than a sample? | Statistical Modeling, Causal Inference, and Social Science
Negativity (when applied with rigor) requires more care than positivity. | Statistical Modeling, Causal Inference, and Social Science
Number of deaths or number of deaths per capita | Statistical Modeling, Causal Inference, and Social Science
Let’s try this again: It is nonsense to say that we don’t know whether a specific weather event was affected by climate change. It’s not just wrong, it’s nonsensical. | Statistical Modeling, Causal Inference, and Social Science
Coronavirus age-specific fatality ratio, estimated using Stan, and (attempting) to account for underreporting of cases and the time delay to death. Now with data and code. And now a link to another paper (also with data and code). | Statistical Modeling,
Coronavirus model update: Background, assumptions, and room for improvement | Statistical Modeling, Causal Inference, and Social Science
“Non-disclosure is not just an unfortunate, but unfixable, accident. A methodology can be disclosed at any time.” | Statistical Modeling, Causal Inference, and Social Science
“Retire Statistical Significance”: The discussion. | Statistical Modeling, Causal Inference, and Social Science
Why do sociologists (and bloggers) focus on the negative? 5 possible explanations. (A post in the style of Fabio Rojas) | Statistical Modeling, Causal Inference, and Social Science
Regression to the mean continues to confuse people and lead to errors in published research | Statistical Modeling, Causal Inference, and Social Science