The world is full of noise. This is not a novel insight. Luckily, the power of statistical models to predict human behaviour is limited, and if a model is able to predict all relevant variation in an outcome of interest, we should be concerned about overfitting and other potential problems. There are good reasons why […]
Category: statistics
Which party do you think is most likely to agree?
In a new poll, JL Partners surveyed more than 2,000 respondents to understand how the public perceives the Labour Party and the Conservative Party on a series of different “woke” topics. The Daily Mail uses the poll to conclude that “Sir Keir Starmer’s Labour Party is out of touch with public opinion”. Is that what […]
Hyperintelligente superalgoritmer
Politiken kan fortælle, at “en digital superalgoritme med hidtil uset præcision” kan kortlægge hadefulde kommentarer på Facebook. Jeg har ingen idé om, hvad en superalgoritme er, men det skal man nok være enten astrofysiker eller journalistpraktikant for at vide. I en anden artikel kalder Politiken det for en “hyperintelligent algoritme”. Jeg ved heller ikke, hvad […]
Potpourri: Statistics #74 (Python)
892. What the f*ck Python! 893. Notes On Using Data Science & Machine Learning To Fight For Something That Matters 894. Computational and Inferential Thinking: The Foundations of Data Science 895. data-science-ipython-notebooks 896. How to make an awesome Python package in 2021 897. Tutorial: Working with Large Data Sets using Pandas and JSON in Python […]
How to improve your figures #5: Don’t use pie charts
The pie chart is more than 200 years old. And I am sure people will use pie charts 200 years from now (cf., the Lindy effect). It is a popular chart type and I am not universally against using pie charts. However, in most cases – especially in academic publications – the pie chart is […]