3 Seaborn Plots That Reveal Hidden Statistical Relationships
Exploratory data analysis (EDA) on complex datasets requires tools that reveal deep, hidden patterns, including overlapping distributions and outliers.
distributions
Reversing Factorio's RNG
This post details how Factorio's random number generation works, how it can be reversed and how I used that knowledge to predict and manipulate the RNG with pure in‑game mechanics.
How is it possible for a deterministic game like Factorio to have a random mechanic?
PRNG
Some useful equations for biological processes | R-bloggers
Biological phenomena are often studied by examining how a numerical variable, usually called the response (e.g., the weight or height of an organism), is affected by another variable, usually called the predictor (e.g., time or fertiliser applic...
3 Real-World Distributions That Refuse to Follow the Bell Curve
Explore how Pareto, log-normal, and Cauchy distributions differ from normal and why confusing them is costly.
Note: pareto, log-normal, cauchy
Starting Hand Frequencies and Pre-Flop Statistics in Texas Hold 'Em
Learn how starting hand frequencies and table position shape every pre-flop decision in Texas Hold 'Em.
Seven Perfect Shuffles Randomize a Deck of Cards. But How Many Sloppy Ones? | Quanta Magazine
A decades-old proof showed that seven shuffles are enough to mix up a deck of cards. But it requires you to cut the deck with the precision of a professional magician. A new proof gets around that obstacle.
7 Everyday Distributions Explained Simply
This article is a quick, everyday tour of seven distributions you'll actually recognize once you know what to look for. No heavy math. No gatekeeping.
The "Everything's Equally Likely" Pattern
The "How Many Successes?" Counter
Why Mean-Variance Fails: Alternative Portfolio Risk Metrics with Python
Explaining Gibrat's Law: Why Growth Creates Lognormal Distributions
Gibrat's Law explains why proportional growth processes create lognormal distributions across economics, biology, and social systems.
The Concise Guide to Chi-Square Distribution
Let's clarify this important statistical pattern and understand its significance in analysis.
A Complete Guide to Understanding Probability Distributions
This article is your ultimate guide to understanding them gently and illustratively.
9 key probability distributions in data science: Easy explanation
Understanding probability distributions in data science is crucial. They provide a mathematical framework for modeling and analyzing data.
Beyond the Bell Curve: An Introduction to the t-distribution
Discover the origins, theory and uses behind the famous t-distribution
Understanding The Hypergeometric Distribution
Breaking down one of the less well-known distributions in data science
Fully Mastering Fisher’s Exact Test for A/B Testing
While Fisher’s exact test is a convenient tool for A/B testing, the idea and results of the test are often hard to grasp and difficult to…
DAGs and Control Variables
How to select control variables for causal inference using Directed Acyclic Graphs
Statistical T-Test Simply Explained
An introduction to the Student’s t-distribution and the Student’s t-test
Log-normal Distribution — A simple explanation
How to calculate μ & σ, the mode, mean, median & variance
We Need to Let Go of the Bell Curve
Most human activities as well as many disciplines — from physics and biology to linguistics, finance, and computer science — follow a Pareto distribution instead of a “normal” Gaussian curve. In Pareto distributions, a small change in one variable is associated with a large…
Probability Distributions with Python’s SciPy
How to Model random Processes with Distributions and Fit them to Observational Data
Explaining the 68-95-99.7 rule for a Normal Distribution
This post explains how those numbers were derived in the hope that they can be more interpretable for your future endeavors.
Removing Outliers Using Standard Deviation in Python
Standard Deviation is one of the most underrated statistical tools out there. It’s an extremely useful metric that most people know how to calculate but very few know how to use effectively.