Why Group Averages Lie About Individuals
Group patterns break when you zoom in to a single person — here's why that matters
The False Precision Problem of Too Many Decimal Places
Those extra decimal places aren't adding accuracy — they're just wearing its costume
How Feedback Loops Turn Small Errors Into Big Disasters
When your analysis feeds on its own outputs, tiny mistakes snowball into conclusions that look solid but aren't
Why Anecdotes Feel More True Than Data But Lead You Astray
Your brain trusts memorable stories over representative data—here's how to catch yourself
Why Control Variables Change Everything You Thought You Knew
The same data tells opposite stories depending on which variables you hold constant
The Statistical Power Problem Nobody Calculates
Most studies can't detect the effects they're looking for, dooming research before data collection begins.
The Multiple Comparisons Problem That Guarantees False Discoveries
Run enough statistical tests and false discoveries become mathematically inevitable—here's how to protect yourself
The Danger of Extrapolating Beyond Your Data's Limits
Why extending trends past your observations creates confident-sounding fiction, not forecasts.
The Replication Crisis Hiding in Unrepeatable Results
Most published findings can't be reproduced—here's how to spot research you can actually believe.
Why Data Transformations Create New Truths From Old Facts
Same numbers, different scales, hidden patterns finally visible
How Weighted Averages Tell Different Stories Than Simple Means
Not all data points deserve equal say—but who decides which ones matter more?
The Time Series Trap of Ignoring Autocorrelation
Standard statistics assume independence—time series data laughs at that assumption
The Hidden Assumptions That Predetermine Your Conclusions
Before your analysis runs, the method has already decided what it will find
The Sampling Bias That Invalidates Most Surveys
Why the people who answer surveys are never the people you actually needed to hear from
The Percentage Trick That Fools Everyone Including Experts
Learn why impressive-sounding percentages often hide trivial changes and how three simple questions reveal the truth behind any statistic.
How Missing Data Silently Corrupts Every Analysis
The blank spaces in your spreadsheet aren't empty—they're hiding the bias that could invalidate everything you think you've found.
Why Outliers Reveal More Truth Than Normal Data
Those strange data points you want to delete might be the most valuable insights you'll ever find.
The P-Value Problem Nobody Wants to Talk About
Why the most trusted number in science routinely leads smart people to confidently wrong conclusions
How Visualization Choices Manipulate Your Understanding
The same numbers tell opposite stories depending on axis scales, chart types, and colors—learn to see through visual manipulation.
How Cherry-Picking Data Creates Alternative Realities
Learn to spot when identical datasets tell opposite stories through selective presentation techniques that create convincing but misleading narratives.
The Regression Fallacy That Explains False Miracles
Why extreme outcomes naturally correct themselves—and how this creates countless false beliefs about what actually works.
The Survivor Bias Illusion Hiding in Every Success Story
Learn why the most dangerous advice comes from winners who don't realize they're statistical outliers in a sea of invisible failures.
Why Randomized Tests Beat Expert Intuition Every Time
Discover how controlled experiments expose the surprising gaps between what experts believe works and what actually does.
The Baseline Comparison That Changes Everything
Discover how reference points secretly control data interpretation and learn to choose baselines that reveal truth instead of hiding it
The Simpson's Paradox That Reverses Every Conclusion
Discover why the same data tells opposite stories depending on how you group it, and learn when each view reveals the real truth
Why Your Brain Sees Patterns That Don't Exist in Data
Learn to distinguish genuine insights from statistical mirages before your pattern-seeking brain leads you astray with false correlations
Why Correlation Tricks Smart People Into Dumb Decisions
Learn to spot hidden variables and reverse causation before they lead you toward expensive mistakes and false conclusions
The Art of Asking Questions Data Can Actually Answer
Transform vague curiosities into precise, answerable questions that turn data exploration into actionable insights and meaningful decisions.
How Sample Size Secretly Controls What You Believe
Discover why tiny studies make headlines while massive datasets whisper truth, and learn to spot when data is lying through sample size.
The Hidden Danger of Averages That Fool Everyone
Why the average person doesn't exist and how this statistical illusion shapes decisions that affect millions daily