Interpreting Data Without Fooling Yourself
Interpret data correctly by avoiding confirmation bias, p-hacking, confusing correlation with causation, and survivorship bias in your analysis.
February 2026
Measurement Bias Explained
Measurement bias: systematic error in data collection distorting results. Selection bias picks wrong samples, observer effects change behavior.
December 2025
Causation vs Correlation: Understanding the Critical Difference
Correlation means variables change together with predictable patterns. Causation means one variable directly causes changes in another variable.
Analytics Mistakes Explained: Common Errors That Lead to Wrong Conclusions
Common analytics mistakes: confusing correlation with causation, using small or biased samples, ignoring confounding variables, and cherry-picking data.
Interpreting Data Correctly: Avoiding Common Analysis Mistakes
Correct data interpretation: understand context, check sample size sufficiency, look for confounding variables, and verify assumptions before concluding.
November 2024
Regression to the Mean: The Statistical Force That Rewrites History
Israeli Air Force flight instructors were certain punishment worked better than praise — every time they praised a good flight, the next was worse. Every time they criticized a bad one, the next improved. They were watching regression to the mean and calling it causation. Why the most important statistical phenomenon is also the most invisible, and why it distorts medicine, management, sports, and science.
October 2024
Survivorship Bias: The Hidden Graveyard of Failed Evidence
In 1943, military analysts studied bullet holes on returning bombers to decide where to add armor. Statistician Abraham Wald saw the fatal flaw: the planes hit in those spots came back. Reinforce where there are no holes. Survivorship bias: why mutual fund charts erase losing funds, why Silicon Valley success stories omit 10,000 failures, and why the most important data is always the data you cannot see.
August 2024
Why Most Published Research Is Wrong
John Ioannidis's 2005 mathematical argument, the replication crisis in psychology and cancer biology, p-hacking, publication bias, and what good science actually looks like.
What Is Statistics? The Science of Learning From Data
Statistics is the science of collecting, analyzing, and drawing conclusions from data under uncertainty. Explore the frequentist-Bayesian debate, p-values, causal inference, and the replication crisis.
August 2023
Social Media Statistics 2026: Global Users, Ad Revenue, and the Creator Economy
Comprehensive social media statistics for 2026: global user counts by platform, time spent, age demographics, ad revenue, engagement rates, creator economy size, and mental health impact data.
Sleep Statistics 2026: Global Averages, Sleep Deprivation Costs, and What Actually Affects Sleep Quality
Comprehensive sleep statistics for 2026: average sleep duration by country and age group, sleep deprivation prevalence, the economic cost of poor sleep, sleep disorder rates, and evidence-backed sleep quality factors.
Screen Time Statistics 2026: Daily Averages, Devices, and the Post-COVID Baseline
Screen time statistics for 2026: average daily screen time by age group, smartphone versus TV versus computer breakdowns, post-COVID trends, health impact data, and what people actually do on their devices.
Remote Work Statistics 2026: Hybrid Wins, Fully Remote Shrinks, and the Return-to-Office Battle Continues
The latest remote work statistics for 2026: what percentage of workers are remote, hybrid vs fully remote breakdown, productivity data, salary differences, real estate impact, and where corporate policy is headed.
Mental Health Statistics 2026: Depression, Treatment Gaps, and the Youth Crisis in Numbers
Comprehensive mental health statistics for 2026: global prevalence of depression and anxiety, treatment gaps, the youth mental health crisis, therapy access data, economic costs, and what is actually improving.
Freelance Economy Statistics 2026: 1.57 Billion Freelancers and the Skills That Pay
The latest freelance economy statistics for 2026: global freelancer count, income data by skill category, fastest growing freelance skills, platform usage, and projections for the future of independent work.
E-Commerce Statistics 2026: A $6.9 Trillion Market Dominated by Mobile and Social
Complete e-commerce statistics for 2026: global market size, mobile commerce share, cart abandonment rates, conversion benchmarks, top platform market shares, and the rapid growth of social commerce.
Climate Change Statistics 2026: Temperature Records, CO2 Levels, and the Cost of Extreme Weather
Comprehensive climate change statistics for 2026: global temperature rise data, CO2 concentrations, extreme weather frequency and cost, renewable energy growth, country emissions breakdowns, and what is measurably changing.
AI Adoption Statistics 2026: Enterprise Rollout, Productivity Gains, and Investment Figures
The latest AI adoption statistics for 2026: enterprise adoption rates, productivity gains, investment figures, job displacement data, consumer AI usage, and the most common real-world use cases.
July 2023
What Is A/B Testing: Statistical Significance, Common Mistakes, and How Tech Companies Run Experiments
A/B testing is how companies make evidence-based product decisions. Learn how statistical significance works without jargon, how to avoid common mistakes like peeking, and how major tech companies run experiments.
February 2023
What Is A/B Testing and How Do Companies Use It
A/B testing explained: statistical significance, p-values in plain English, famous examples from Amazon and Google, common pitfalls, and when not to run a test.
July 2022
What Is the Hot Hand Fallacy: When Streaks Are Illusions
The hot hand fallacy describes the belief that a player on a streak is more likely to succeed again. But is it really a fallacy? New research says maybe not.