Journals and What they Charge You (and a paper someone should write)

It’s a lot (and prestige costs more)

Fun Facts about Variance

Some useful bits of information to make statistics make sense.

The Why Factor (BBC): Why are we conscious of so little?

They let me on the radio

EEG Current Source Density and the Surface Laplacian

How does it work? Why does it work? I try to figure out this and more.

Evidently: Simulate Evidence Accumulation Models in Python

I’ve just put the finishing touches on version 0.0.1 of Evidently is a python package for working with evidence accumulation models. In short, it lets you do things like this: Since I spent all that time writing a Read Me page for the GitHub repository, I’ve reproduced it below. Evidently Evidently provides Efficient functions for simulating data from a range of models. Classes that make it easier to tweak model parameters and manage simulated data.

Robust Outlier Detection using the T Distribution

Please, don’t just drop data 3 standard deviations from the mean.

Toggling code cells in Jupyter HTML Outputs

Or, How I Wasted an Afternoon.

EEG Power Calculations: The State of the Art (According to Twitter)

It’s not great…

Linear Mixed Models Resources

Some barely curated links to modelling resources.

Comment on Kloosterman et al (2019)

Some thoughts on some exciting work on intentions, alpha waves, and perceptual biases.