Potpourri: Statistics #61

Fairness and machine learning
How to Be a Statistical Detective
Overfitting: a guided tour
No Framework, No Problem! Structuring your project folder and creating custom Shiny components
Revisiting the Difference-in-Differences Parallel Trends Assumption: Part I Pre-Trend Testing
The Trouble with Crime Statistics
Data project checklist
Data Science resources
Data Science Resources (not the same as above)
Guide: Typography
NumPy: the absolute basics for beginners
Python built-ins worth learning
A Scientist’s Guide to R: Step 2.1. Data Transformation – Part 1
Real Emojis in ggplot2
The birthday paradox puzzle: tidy simulation in R
Introducing googleCloudRunner – serverless R on Google Cloud Platform

New article in The International Journal of Press/Politics: Transforming Stability into Change

In the new issue of The International Journal of Press/Politics, you will find an article written by Zolt├ín Fazekas and yours truly. The article is called ‘Transforming Stability into Change: How the Media Select and Report Opinion Polls’.

Here is the abstract:

Although political polls show stability over short periods of time, most media coverage of polls highlights recurrent changes in the political competition. We present evidence for a snowball effect where small and insignificant changes in polls end up in the media coverage as stories about changes. To demonstrate this process, we rely on the full population of political polls in Denmark and a combination of human coding and supervised machine learning of more than four thousand news articles. Through these steps, we show how a horserace coverage of polls about change can rest on a foundation of stability.

The article is available online here. You can find the replication material at the Harvard Dataverse. Last, you can find our coverage of the study in the Danish newspaper Berlingske (in Danish).

New job

Great news! I am happy to announce that I am now officially Head of Analytics at Earth Security Group.

This also means that I will no longer be working at the University of Kent. I’ve had a great time there and I am going to miss my colleagues as well as the students.