A year ago, Zoltán Fazekas and I looked into house effects in Danish opinion polls on the support for political parties. In brief, we found some interesting differences in the house effects among different polling firms (do read the post from last year if you are unfamiliar with the concept of house effects). However, with […]
Year: 2018
Potpourri: Statistics #48
401. Mapping Sinclair Broadcast’s reach 402. Layered Presentation of Graphics with +aes() in ggplot2 403. ggcoefstats 404. The Basics of Bayesian Inference 405. An Introduction to Markov Chain Monte Carlo Sampling 406. Uncluttered Stata Graphs 407. tidybayes: Bayesian analysis + tidy data + geoms 408. When interaction is not interaction: confounding and measurement error 409. […]
Skaber sociale medier ekkokamre? #2
For over et år siden skrev jeg et indlæg om sociale medier og ekkokamre. Mit argument var og er, at der ikke er overbevisende evidens for, at sociale medier skaber ekkokamre, hvor borgerne udelukkende eksponeres for holdninger, der harmonerer med, hvad de allerede mener. Der er selvfølgelig al mulig grund til at være kritisk i […]
Did welfare reforms cause Brexit?
Did welfare policy reforms directly cause Brexit? That’s the conclusion in this article: “Tory austerity and welfare cuts directly caused Brexit, according to a ground-breaking new academic study.” The results in the new academic study, ‘Did Austerity Cause Brexit?‘, “suggest that the EU referendum could have resulted in a Remain victory had it not been […]
Potpourri: Statistics #47
392. How to read a log scale: Same distance, same growth rate 393. Fitting Bayesian Models using Stan and R 394. A visual introduction to machine learning 395. If You Say Something Is “Likely,” How Likely Do People Think It Is? 396. Tidy Eval Meets ggplot2 397. Bubble-grid-maps 398. From data to viz 399. Analyzing […]