Discusses the proposal to lower p-value thresholds in statistical analysis, arguing it addresses symptoms not root causes of unreliable research.
A guide to critically reading academic papers in computer science, emphasizing active engagement and contextual understanding.
Explores the importance of reproducible science in computer science, focusing on reproducibility, replicability, and reusability of software and data.
The article debunks common misinterpretations of the Dunning-Kruger effect by analyzing the original study's data and findings.
A critique of common pitfalls and unproductive patterns in statistics research presentations, aimed at improving academic discourse.
