Close-up of a digital market analysis display showing Bitcoin and cryptocurrency price trends.
data science / statistics / probability

Mean Methods.

The mean is lying to you

n = 6 | p < 0.05 | σ ≠ 0
Latest
statisticsdata sciencevariance

Variance Neglect: Why You're Optimizing the Wrong Number

Focusing only on averages while ignoring variance is one of the most expensive mistakes in data science. Here's why variance deserves your full attention.

C. Pearson C. Pearson
· · 4 min read
Archive
statisticsmodeling

Zero-Inflated Data: Why Your Model Thinks Nothing Is Happening

Zero-inflated data breaks standard statistical models in ways that look subtle but destroy your predictions. Here's what's actually going on.

C. Pearson C. Pearson
· · 4 min read
statisticsbias

Selection Bias: The Invisible Filter Warping Every Dataset You Trust

Selection bias quietly corrupts data before analysis even begins. Here's how to recognize the invisible filter distorting your conclusions.

C. Pearson C. Pearson
· · 5 min read
statisticsdata science

Goodhart's Law: Why Every Metric You Optimize Will Eventually Betray You

Goodhart's Law explains why optimizing for any metric destroys its usefulness as a measure, and why your KPIs are probably lying to you right now.

C. Pearson C. Pearson
· · 4 min read
statisticsdata science

The Ecological Fallacy: What's True for Groups Is Not True for People

The ecological fallacy silently corrupts data analysis. Here's why group-level statistics can't tell you what you think they can about individuals.

C. Pearson C. Pearson
· · 4 min read
probabilitycognitive bias

The Gambler's Fallacy: Why Your Brain Thinks Coins Have Memory

The Gambler's Fallacy feels like logic but it's a statistical trap, and it's costing you more than casino chips.

C. Pearson C. Pearson
· · 4 min read
EOF