Blogs

Statistics, probability, and Bayesian thinking — built from the ground up

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Statistical Technicians

The case for teaching statistics as reasoning, not procedure
statistics
probability
teaching
Apr 24, 2026
Rob Taylor, PhD
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Do We Really Need to Test Variances Anymore?

Why classical assumption checks are no longer gatekeepers, and how modern ANOVA methods handle heterogeneity directly.
statistics
ANOVA
hypothesis testing
inference
Apr 15, 2026
Rob Taylor, PhD
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Stop Pretending Data Roles Are Separate

My push back against the “data trinity”
data analysis
data science
data engineering
gripe
Aug 23, 2025
Rob Taylor, PhD
photo by Joel Henry

A Brief Primer on p-values

An article to help build and understanding of this common, yet misunderstood, measure
statistics
probability
null hypothesis testing
methods
Sep 17, 2022
Rob Taylor, PhD
photo by Andres Drange

Maximum Likelihood Estimation: Part 2

Deriving the Binomial estimator from first principles
statistics
maximum likelihood estimation
binomial model
Aug 27, 2022
Rob Taylor, PhD
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An Introduction to Maximum Likelihood Estimation

A closer look at how to derive the estimator for the Binomial model
statistics
maximum likelihood estimation
data analysis
Aug 10, 2022
Rob Taylor, PhD
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On Probability versus Likelihood

A discussion about two terms that are often used interchangeably, but are mathematically distinct
statistics
probability
likelihood
Aug 8, 2022
Rob Taylor, PhD
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Data Visualisation: A Case for Dual-axis Plots

A quick case study for when a dual-axis plot is actually useful
data visualisation
ggplot
data analysis
Jul 5, 2022
Rob Taylor, PhD
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Multicollinearity: Problem, or Not?

A brief guide on multicollinearity and how it affects multiple regression models
statistics
linear regression
data science
Jun 25, 2022
Rob Taylor, PhD
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