rob taylor
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Statistics · Probability · Bayesian thinking

Understanding uncertainty, from first principles.

I’m a psychologist writing about statistics, probability and mathematical modelling — for people in data, and for anyone who wants the intuition and not just the procedure.

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Latest posts

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Statistical Technicians

The case for teaching statistics as reasoning, not procedure
statistics
probability
teaching
24 Apr 2026

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
15 Apr 2026

Stop Pretending Data Roles Are Separate

My push back against the “data trinity”
data analysis
data science
data engineering
gripe
23 Aug 2025

A Note on Confidence Intervals

What a confidence interval is - but more importantly, what it is not.
statistics
probability
confidence intervals
hypothesis testing
7 Nov 2022

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
17 Sep 2022
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Recently

Aug 2026

Returned to academic research, building models of food systems.

Apr 2026

Multi-part series on Maximum Likelihood Estimation underway — theory from first principles through to practical applications.

Start here ↗

Nov 2024

Site launched. Publishing on statistics, probability, and Bayesian inference.

Elsewhere

Bluesky bsky.app LinkedIn linkedin.com GitHub github.com

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© Rob Taylor

Statistics, probability, and Bayesian thinking

robtaylor.co.nz