statisticsdata-analysisbias
Simpson's Paradox: When Your Data Tells Two Opposite Stories
How Simpson's Paradox can make your data analysis completely backwards and why aggregated statistics are hiding the truth.
C. Pearson · · 4 min read
data science / statistics / probability
Mean Methods.
The mean is lying to you
n = 6 | p < 0.05 | σ ≠ 0
Latest
C. Pearson · · 4 min read Archive
central-limit-theoremstatistical-assumptions
Why Central Limit Theorem Is Your Biggest Statistical Blind Spot
The Central Limit Theorem creates dangerous assumptions about data that lead to catastrophic analytical failures in real-world applications.
C. Pearson · · 4 min readstatisticsdata-analysis
Standard Deviation: The Statistical Sleight of Hand Nobody Questions
Standard deviation obscures reality more than it reveals—here's why this beloved metric is misleading data scientists everywhere.
C. Pearson · · 4 min readstatisticsconfidence-intervals
Why Your Confidence Intervals Don't Actually Give You Confidence
Confidence intervals are widely misunderstood—here's why that 95% doesn't mean what you think it means.
C. Pearson · · 4 min readcausationcorrelation
Correlation vs Causation: Why Smart People Keep Getting It Wrong
Smart analysts confuse correlation with causation daily, making expensive mistakes that proper causal thinking could prevent.
C. Pearson · · 4 min readstatisticsdistributions
The Mean Is Lying to You (And You Keep Falling For It)
The arithmetic mean is the most misused statistic in existence. Here's why your average is almost certainly misleading.
C. Pearson · · 3 min read EOF