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Less Likely — statistical distributions logo
Vol. XII · Estd. 2018 New York, NY
Featured this issue
When Can We Say That Something Doesn’t Work?

When Can We Say That Something Doesn’t Work?

statistics

When are we allowed to conclude that an intervention doesn’t work? Is it when a study or several studies fail to find significant differences?

No matching items
Statistics Medicine Nutrition Dashboards Projects Datasets
When Can We Say That Something Doesn’t Work?

When Can We Say That Something Doesn’t Work?

statistics

When are we allowed to conclude that an intervention doesn’t work? Is it when a study or several studies fail to find significant differences?

High Statistical Power Can Be Deceiving

High Statistical Power Can Be Deceiving

Most studies aim to achieve high statistical power and precision by increasing sample sizes. Many researchers will conclude that there is no effect if they get a nonsignificant result in a high-powered study. In this post, I discuss why this is incorrect.

Meta-Analysis: Choose Your Model Wisely

Meta-Analysis: Choose Your Model Wisely

Meta-analyses are incredibly common in the literature and they can be hard to understand. In this post, I explain why we conduct meta-analyses in the first place, the effects of different assumptions on the calculations, and traps to avoid when choosing a model.

How Useful Is Nutritional Epidemiology?

How Useful Is Nutritional Epidemiology?

nutrition

The studies that gain the most attention from the media are usually nutritional epidemiological studies. However, there is a good reason to be skeptical of these types of studies and in this blog post, I explain why.

 

The P-value Is Not a Verdict: An Interactive Consonance Curve

statistics
interactive

Drag an estimate and its interval and watch the entire P-value function, every compatibility interval, and the S-value move together.

Aug 16, 2026
 

How to Be a Good Collaborator to a Statistician and a Data Engineer

statistics

Good collaboration with statisticians and data engineers is a set of concrete habits, not goodwill. What each side owes the other, with checklists.

Aug 11, 2026
 

The Octagon Is a One-Trial Experiment

statistics

A single MMA fight is not a probability. But repeat it ten times and the better fighter’s edge starts showing. That gap is exactly what frequentism was built for.

Jun 23, 2026
 

Multi-Language Code Examples

statistics
programming
tutorial

Examples of using Stata, Julia, and pseudocode in blog posts

Jan 6, 2026
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End of selection All articles →
30+Pages
27Articles
3Departments
∞Caveats
RSS Bluesky X GitHub
Recurring themes
N° 01

Sensitivity analysis

How conclusions move when assumptions wobble — tipping points, multiverse runs, robustness.

N° 02

Causal inference

Drawing causal claims from observational data, and the price of doing it carelessly.

N° 03

Bayesian thinking

Posteriors, priors, and the uncomfortable but useful business of saying what you actually believe.

N° 04

The bootstrap

Resampling for uncertainty quantification — when it works, when it lies, and why.

N° 05

Surrogates & trials

Endpoints that aren't outcomes, and trials that almost answer the question you asked.

N° 06

Nutritional epidemiology

Why food-and-disease studies are hard, and what to read when someone reports otherwise.

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